commit af1285b181ca94234b8d06e3d3b68886b4a386bc Author: Travis Vasceannie Date: Wed Dec 17 18:28:59 2025 +0000 Add initial project structure and files - Introduced .python-version for Python version management. - Added AGENTS.md for documentation on agent usage and best practices. - Created alembic.ini for database migration configurations. - Implemented main.py as the entry point for the application. - Established pyproject.toml for project dependencies and configurations. - Initialized README.md for project overview. - Generated uv.lock for dependency locking. - Documented milestones and specifications in docs/milestones.md and docs/spec.md. - Created logs/status_line.json for logging status information. - Added initial spike implementations for UI tray hotkeys, audio capture, ASR latency, and encryption validation. - Set up NoteFlow core structure in src/noteflow with necessary modules and services. - Developed test suite in tests directory for application, domain, infrastructure, and integration testing. - Included initial migration scripts in infrastructure/persistence/migrations for database setup. - Established security protocols in infrastructure/security for key management and encryption. - Implemented audio infrastructure for capturing and processing audio data. - Created converters for ASR and ORM in infrastructure/converters. - Added export functionality for different formats in infrastructure/export. - Ensured all new files are included in the repository for future development. diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..afc00ef --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,34 @@ +# Repository Guidelines + +## Project Structure & Module Organization +- `src/noteflow/` holds the main package. Key areas include `domain/` (entities + ports), `application/` (use-cases/services), `infrastructure/` (audio, ASR, persistence, security), `grpc/` (proto, server, client), `client/` (Flet UI), and `config/` (settings). +- `src/noteflow/infrastructure/persistence/migrations/` contains Alembic migrations and templates. +- `tests/` mirrors package areas (`domain/`, `application/`, `infrastructure/`, `integration/`) with shared fixtures in `tests/fixtures/`. +- `docs/` contains specs and milestones; `spikes/` houses experiments; `logs/` is local-only. + +## Build, Test, and Development Commands +- `python -m pip install -e ".[dev]"` installs the package and dev tools. +- `python -m noteflow.grpc.server --help` runs the gRPC server (after editable install). +- `python -m noteflow.client.app --help` runs the Flet client UI. +- `pytest` runs the full test suite; `pytest -m "not integration"` skips external-service tests. +- `ruff check .` runs linting; `ruff check --fix .` applies autofixes. +- `mypy src/noteflow` runs strict type checks; `basedpyright` is available for additional checks. +- Packaging uses hatchling; for a wheel, run `python -m build` (requires `build`). + +## Coding Style & Naming Conventions +- Python 3.12, 4-space indentation, and a 100-character line length (Ruff). +- Naming: `snake_case` for modules/functions, `PascalCase` for classes, `UPPER_SNAKE_CASE` for constants. +- Keep typing explicit and compatible with strict `mypy`; generated `*_pb2.py` files are excluded from lint. + +## Testing Guidelines +- Pytest with asyncio auto mode; test files `test_*.py`, functions `test_*`. +- Use markers: `@pytest.mark.slow` for model-loading tests and `@pytest.mark.integration` for external services. +- Integration tests may require PostgreSQL via `NOTEFLOW_DATABASE_URL`. + +## Commit & Pull Request Guidelines +- The repository currently has no commit history; no established convention yet. Use Conventional Commits (e.g., `feat:`, `fix:`, `chore:`) and include a concise scope when helpful. +- PRs should describe the change, link related issues/specs, note DB or proto changes, and include UI screenshots when the Flet client changes. + +## Configuration & Security Notes +- Runtime settings come from `.env` or `NOTEFLOW_` environment variables (see `src/noteflow/config/settings.py`). +- Keep secrets and local credentials out of the repo; use `.env` and local config instead. diff --git a/README.md b/README.md new file mode 100644 index 0000000..e69de29 diff --git a/alembic.ini b/alembic.ini new file mode 100644 index 0000000..8bebf12 --- /dev/null +++ b/alembic.ini @@ -0,0 +1,147 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts. +# this is typically a path given in POSIX (e.g. forward slashes) +# format, relative to the token %(here)s which refers to the location of this +# ini file +script_location = %(here)s/src/noteflow/infrastructure/persistence/migrations + +# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s +# Uncomment the line below if you want the files to be prepended with date and time +# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file +# for all available tokens +# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. for multiple paths, the path separator +# is defined by "path_separator" below. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the tzdata library which can be installed by adding +# `alembic[tz]` to the pip requirements. +# string value is passed to ZoneInfo() +# leave blank for localtime +# timezone = + +# max length of characters to apply to the "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to /versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "path_separator" +# below. +# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions + +# path_separator; This indicates what character is used to split lists of file +# paths, including version_locations and prepend_sys_path within configparser +# files such as alembic.ini. +# The default rendered in new alembic.ini files is "os", which uses os.pathsep +# to provide os-dependent path splitting. +# +# Note that in order to support legacy alembic.ini files, this default does NOT +# take place if path_separator is not present in alembic.ini. If this +# option is omitted entirely, fallback logic is as follows: +# +# 1. Parsing of the version_locations option falls back to using the legacy +# "version_path_separator" key, which if absent then falls back to the legacy +# behavior of splitting on spaces and/or commas. +# 2. Parsing of the prepend_sys_path option falls back to the legacy +# behavior of splitting on spaces, commas, or colons. +# +# Valid values for path_separator are: +# +# path_separator = : +# path_separator = ; +# path_separator = space +# path_separator = newline +# +# Use os.pathsep. Default configuration used for new projects. +path_separator = os + + +# set to 'true' to search source files recursively +# in each "version_locations" directory +# new in Alembic version 1.10 +# recursive_version_locations = false + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +# database URL. This is consumed by the user-maintained env.py script only. +# NOTE: URL is configured via NOTEFLOW_DATABASE_URL env var in env.py +# This placeholder is overridden at runtime. +sqlalchemy.url = postgresql+asyncpg://localhost/noteflow + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# lint with attempts to fix using "ruff" - use the module runner, against the "ruff" module +hooks = ruff +ruff.type = module +ruff.module = ruff +ruff.options = check --fix REVISION_SCRIPT_FILENAME + +# Alternatively, use the exec runner to execute a binary found on your PATH +# hooks = ruff +# ruff.type = exec +# ruff.executable = ruff +# ruff.options = check --fix REVISION_SCRIPT_FILENAME + +# Logging configuration. This is also consumed by the user-maintained +# env.py script only. +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARNING +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARNING +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/docs/milestones.md b/docs/milestones.md new file mode 100644 index 0000000..796ee22 --- /dev/null +++ b/docs/milestones.md @@ -0,0 +1,752 @@ +Absolutely — here’s a companion **Implementation Plan** that matches the V1 spec we just locked: *single-process*, *local-first*, *mic capture baseline*, *partial→final transcripts*, and *evidence-linked summaries with strict citation enforcement*. + +I’m writing this so engineering can start building without re‑interpreting product decisions. + +--- + +# NoteFlow V1 Implementation Plan + +## 1) Milestones and Gates + +### Milestone 0 — Spikes to de-risk platform & pipeline (must complete before “real” build) + +**Goal:** validate the 4 biggest “desktop app cliffs” before committing to architecture. + +**Spikes (each ends with a tiny working prototype + written findings):** + +1. **UI + Tray + Hotkeys feasibility** + + * Verify: system tray/menubar icon, notification prompt, global hotkey start/stop + * If Flet cannot support reliably, pivot **early** (fallback: PySide6/Qt or Toga). +2. **Audio capture robustness** + + * Open `sounddevice.InputStream` on both OSs, confirm: + + * default mic capture + * device unplug / device switch handling + * stable VU meter feed +3. **ASR latency feasibility** + + * Run faster-whisper on baseline hardware and confirm partial decode cadence is viable. + * Confirm model download/cache strategy works. +4. **Key storage + encryption approach** + + * Confirm OS keystore integration works (Keychain/Credential Manager via `keyring`). + * Write and read an encrypted streaming audio file (chunked AES-GCM). + +**Exit criteria (M0):** + +* You can: start recording → see VU meter → stop → playback file (even if raw) on both OSs. +* You can: run ASR over captured audio and display text in UI (even if basic). +* You can: store/read an encrypted blob using a stored master key. + +--- + +### Milestone 1 — Repo foundation + CI + core contracts + +**Goal:** establish maintainable structure, typing, test harness, logging. + +**Deliverables:** + +* Repository layout (see Section 2) +* `pyproject.toml` + lockfile (uv/poetry OK) +* Quality gates: `ruff`, `mypy --strict`, `pytest` +* Structured logging (structlog) with content-safe defaults +* Settings system (Pydantic settings + JSON persistence) +* Minimal “app shell” (UI opens, tray appears, logs write) + +**Exit criteria:** + +* CI passes lint/type/tests on both platforms (at least via GitHub Actions runners). +* Running app produces a tray icon + opens a window. + +--- + +### Milestone 2 — Meeting lifecycle + mic capture + crash-safe persistence + +**Goal:** reliable recording as the foundation. + +**Deliverables:** + +* `MeetingService` state machine +* Audio capture thread/callback +* Encrypted streaming asset writer +* Meeting folder layout + manifest +* Active Meeting UI: timer + VU meter + start/stop +* Crash recovery: “incomplete meeting” recovery on restart + +**Exit criteria:** + +* Record 30 minutes without UI freezing. +* App restart after forced kill shows last meeting as “incomplete” (audio file exists, transcript may not). + +--- + +### Milestone 3 — Partial→Final transcription + transcript persistence + +**Goal:** near real-time transcription with stability rules. + +**Deliverables:** + +* ASR wrapper service (faster-whisper) +* VAD + segment finalization logic +* Partial transcript feed to UI +* Final segments persisted to DB +* Post-meeting transcript view + +**Exit criteria:** + +* Live view shows partial text that settles into final segments. +* After restart, final segments are still present and searchable within the meeting. + +--- + +### Milestone 4 — Review UX: playback, annotations, export + +**Goal:** navigable recall loop. + +**Deliverables:** + +* Audio playback synced to segment timestamps +* Add annotations in live view + review view +* Export: Markdown + HTML +* Meeting library list + per-meeting search + +**Exit criteria:** + +* Clicking a segment seeks audio playback to that time. +* Export produces correct Markdown/HTML for at least one meeting. + +--- + +### Milestone 5 — Smart triggers (confidence model) + snooze/suppression + +**Goal:** prompts that are helpful, not annoying. + +**Deliverables:** + +* Trigger engine + scoring +* Foreground app detector (Zoom/Teams/etc) +* Audio activity detector (from VU meter) +* Optional calendar connector stub (disabled by default) +* Prompt notification + snooze + suppress per-app +* Settings for sensitivity and auto-start opt-in + +**Exit criteria:** + +* Trigger prompts happen when expected and can be snoozed. +* Prompt rate-limited to prevent spam. + +--- + +### Milestone 6 — Evidence-linked summaries (extract → synthesize → verify) + +**Goal:** no uncited claims. + +**Deliverables:** + +* Summarizer provider interface +* At least one provider implementation: + + * `MockSummarizer` for tests/dev + * `CloudSummarizer` behind explicit opt-in (provider-agnostic HTTP) +* Citation verifier + “uncited drafts” handling +* Summary UI panel with clickable citations + +**Exit criteria:** + +* Every displayed bullet has citations. +* Clicking bullet jumps to cited transcript segment and audio timestamp. + +--- + +### Milestone 7 — Retention, deletion, telemetry (opt-in), packaging + +**Goal:** ship safely. + +**Deliverables:** + +* Retention job +* Delete meeting (cryptographic delete) +* Optional telemetry (content-free) +* PyInstaller build +* “Check for updates” flow (manual link + version display) +* Release checklist & troubleshooting docs + +**Exit criteria:** + +* A signed installer (or unsigned for internal) that installs and runs on both OSs. +* Deleting a meeting removes DB rows + assets; audio cannot be decrypted after key deletion. + +--- + +### Milestone 8 (Optional pre‑release) — Post-meeting anonymous diarization + +**Goal:** “Speaker A/B/C” best-effort labeling. + +**Deliverables:** + +* Background diarization job +* Align speaker turns to transcript +* UI display + rename speakers per meeting + +**Exit criteria:** + +* If diarization fails, app degrades gracefully to “Unknown.” + +--- + +## 2) Proposed Repository Layout + +This layout is designed to: + +* separate server and client concerns, +* isolate platform-specific code, +* keep modules < 500 LoC, +* make DI clean, +* keep writing to disk centralized. + +```text +noteflow/ +├─ pyproject.toml +├─ src/noteflow/ +│ ├─ core/ +│ │ ├─ config.py # Settings (Pydantic) + load/save +│ │ ├─ logging.py # structlog config, redaction helpers +│ │ ├─ types.py # common NewTypes / Protocols +│ │ └─ errors.py # domain error types +│ │ +│ ├─ grpc/ # gRPC server components +│ │ ├─ proto/ +│ │ │ ├─ noteflow.proto # Service definitions +│ │ │ ├─ noteflow_pb2.py # Generated protobuf +│ │ │ └─ noteflow_pb2_grpc.py +│ │ ├─ server.py # Server entry point +│ │ ├─ service.py # NoteFlowServicer implementation +│ │ ├─ meeting_store.py # In-memory meeting management +│ │ └─ client.py # gRPC client wrapper +│ │ +│ ├─ client/ # GUI client application +│ │ ├─ app.py # Flet app entry point +│ │ ├─ state.py # App state store +│ │ └─ components/ +│ │ ├─ transcript.py +│ │ ├─ vu_meter.py +│ │ └─ summary_panel.py +│ │ +│ ├─ audio/ # Audio capture (client-side) +│ │ ├─ capture.py # sounddevice InputStream wrapper +│ │ ├─ levels.py # RMS/VU meter computation +│ │ ├─ ring_buffer.py # timestamped audio buffer +│ │ └─ playback.py # audio playback synced to timestamp +│ │ +│ ├─ asr/ # ASR engine (server-side) +│ │ ├─ engine.py # faster-whisper wrapper + model cache +│ │ ├─ segmenter.py # partial/final logic, silence boundaries +│ │ └─ dto.py # ASR outputs (words optional) +│ │ +│ ├─ data/ # Persistence (server-side) +│ │ ├─ db.py # LanceDB connection + table handles +│ │ ├─ schema.py # table schemas + version +│ │ └─ repos/ +│ │ ├─ meetings.py +│ │ ├─ segments.py +│ │ └─ summaries.py +│ │ +│ ├─ platform/ # Platform-specific (client-side) +│ │ ├─ tray/ # tray/menubar (pystray) +│ │ ├─ hotkeys/ # global hotkeys (pynput) +│ │ └─ notifications/ # toast notifications +│ │ +│ └─ summarization/ # Summary generation (server-side) +│ ├─ providers/ +│ │ ├─ base.py +│ │ └─ cloud.py +│ ├─ prompts.py +│ └─ verifier.py +│ +├─ spikes/ # De-risking spikes (M0) +│ ├─ spike_01_ui_tray_hotkeys/ +│ ├─ spike_02_audio_capture/ +│ ├─ spike_03_asr_latency/ +│ └─ spike_04_encryption/ +│ +└─ tests/ + ├─ unit/ + ├─ integration/ + └─ e2e/ +``` + +--- + +## 3) Core Runtime Design + +### 3.1 State Machine (Meeting Lifecycle) + +Define explicitly so UI + services remain consistent. + +```text +IDLE + ├─ start(manual/trigger) → RECORDING + └─ prompt(trigger) → PROMPTED + +PROMPTED + ├─ accept → RECORDING + └─ dismiss/snooze → IDLE + +RECORDING + ├─ stop → STOPPING + ├─ error(audio) → ERROR (with recover attempt) + └─ crash → RECOVERABLE_INCOMPLETE on restart + +STOPPING + ├─ flush assets/segments → REVIEW_READY + └─ failure → REVIEW_READY (marked incomplete) + +REVIEW_READY + ├─ summarize → REVIEW_READY (summary updated) + └─ delete → IDLE +``` + +**Invariant:** segments are only “final” when persisted. Partial text is never persisted. + +--- + +### 3.2 Threading + Queue Model (Client-Server) + +**Server Threads:** + +* **gRPC thread pool:** handles incoming RPC requests +* **ASR worker thread:** processes audio buffers through faster-whisper +* **IO worker thread:** *only* place that writes DB + manifest updates +* **Background jobs:** summarization, diarization, retention + +**Client Threads:** + +* **Main/UI thread:** Flet rendering + user actions +* **Audio callback thread:** receives frames, does *minimal work*: + * compute lightweight RMS for VU meter + * enqueue frames to gRPC stream queue +* **gRPC stream thread:** sends audio chunks, receives transcript updates +* **Event dispatch:** updates UI from transcript callbacks + +**Rules:** +* Anything blocking > 5ms does not run in the audio callback +* Only the server's IO worker writes to the database + +--- + +## 4) Dependency Injection and Service Wiring + +Use a small container (manual DI) rather than a framework. + +```python +# core/types.py +from typing import Protocol + +class Clock(Protocol): + def monotonic(self) -> float: ... + def now(self): ... + +class Notifier(Protocol): + def prompt_recording(self, title: str, body: str) -> None: ... + def toast(self, title: str, body: str) -> None: ... + +class ForegroundAppProvider(Protocol): + def current_app(self) -> str | None: ... + +class KeyStore(Protocol): + def get_or_create_master_key(self) -> bytes: ... +``` + +```python +# app.py (wiring idea) +def build_container() -> AppContainer: + settings = load_settings() + logger = configure_logging(settings) + keystore = build_keystore() + crypt = CryptoBox(keystore) + db = LanceDatabase(settings.paths.db_dir) + repos = Repositories(db) + jobs = JobQueue(...) + audio = AudioCapture(...) + asr = AsrEngine(...) + meeting = MeetingService(...) + triggers = TriggerService(...) + ui = UiController(...) + return AppContainer(...) +``` + +--- + +## 5) Detailed Subsystem Plans + +## 5.1 Audio Capture + Assets + +### AudioCapture + +Responsibilities: + +* open/close stream +* handle device change / reconnect +* feed ring buffer +* expose current level for VU meter + +Key APIs: + +```python +class AudioCapture: + def start(self, on_frames: Callable[[np.ndarray, float], None]) -> None: ... + def stop(self) -> None: ... + def current_device(self) -> AudioDeviceInfo: ... +``` + +### RingBuffer (timestamped) + +* store `(timestamp, frames)` so segment times are stable even if UI thread lags +* provide “last N seconds” view for ASR worker + +### VAD + +Define an interface so you can swap implementations (webrtcvad vs silero) without rewriting pipeline. + +```python +class Vad: + def is_speech(self, pcm16: bytes, sample_rate: int) -> bool: ... +``` + +### Encrypted Audio Container (streaming) + +**Implementation approach (V1-safe):** encrypted chunk format (AES-GCM) storing PCM16 frames. +Optional: later add “compress after meeting” job (Opus) once stable. + +**Writer contract:** + +* write header once +* write chunks frequently (every ~200–500ms) +* flush frequently (crash-safe) + +**Deletion contract:** + +* delete per-meeting DEK record first (crypto delete) +* delete meeting folder + +--- + +## 5.2 ASR and Segment Finalization + +### ASR Engine Wrapper (faster-whisper) + +Responsibilities: + +* model download/cache +* run inference +* return tokens/segments with timestamps (word timestamps optional) + +```python +class AsrEngine: + def transcribe(self, audio_f32_16k: np.ndarray) -> AsrResult: ... +``` + +### Segmenter (partial/final) + +Responsibilities: + +* build current “active utterance” from VAD-speech frames +* run partial inference every N seconds +* finalize when silence boundary detected + +**Data contract:** + +* PartialUpdate: `{text, start_offset, end_offset, stable=False}` +* FinalSegment: `{segment_id, text, start_offset, end_offset, stable=True}` + +**Important:** final segments get their IDs at commit time (IO worker), not earlier. + +--- + +## 5.3 Persistence (LanceDB + repositories) + +### DB access policy + +* One DB connection managed centrally +* IO worker serializes all writes + +Repositories: + +* `MeetingsRepo`: create/update meeting status, store DEK metadata reference +* `SegmentsRepo`: append segments, query by meeting, basic search +* `AnnotationsRepo`: add/list annotations +* `SummariesRepo`: store summary + verification report + +Also store: + +* schema version +* app version +* migration logic (even if minimal) + +--- + +## 5.4 MeetingService (Orchestration) + +Responsibilities: + +* create meeting directory + metadata +* start/stop audio capture +* start/stop ASR segmenter +* handle UI events (annotation hotkeys, stop, etc.) +* coordinate with TriggerService +* ensure crash-safe flush and marking incomplete + +Key public API: + +```python +class MeetingService: + def start(self, source: TriggerSource) -> MeetingID: ... + def stop(self) -> None: ... + def add_annotation(self, type: AnnotationType, text: str | None = None) -> None: ... + def current_meeting_id(self) -> MeetingID | None: ... +``` + +--- + +## 5.5 TriggerService (Confidence Model + throttling) + +Inputs (each independently optional): + +* calendar (optional connector) +* foreground app provider +* audio activity provider + +Outputs: + +* prompt notification +* optional auto-start (if user enabled) +* snooze & suppression state + +Policies: + +* **rate limit prompts** (e.g., max 1 prompt / 10 min) +* **cooldown after dismiss** +* **per-app suppression** config + +Implementation detail: + +* TriggerService publishes events via signals: + + * `trigger_prompted` + * `trigger_snoozed` + * `trigger_accepted` + +--- + +## 5.6 Summarization Service (Extract → Synthesize → Verify) + +Provider interface: + +```python +class SummarizerProvider(Protocol): + def extract(self, transcript: str) -> ExtractionResult: ... + def synthesize(self, extraction: ExtractionResult) -> DraftSummary: ... +``` + +Verifier: + +* parse bullets +* ensure each displayed bullet contains `[...]` with at least one Segment ID +* uncited bullets go into `uncited_points` and are hidden by default + +UI behavior: + +* Summary panel shows “X uncited drafts hidden” toggle +* Clicking bullet scrolls transcript and seeks audio + +**Testing requirement:** + +* Summary verifier must be unit-tested with adversarial outputs (missing brackets, invalid IDs, empty citations). + +--- + +## 5.7 UI Implementation Approach (Flet) + +### State management + +Treat UI as a thin layer over a single state store: + +* `AppState` + + * current meeting status + * live transcript partial + * list of finalized segments + * playback state + * summary state + * settings state + * prompt/snooze state + +Changes flow: + +* Services emit signals (blinker) +* UI controller converts signal payload → state update → re-render + +This avoids UI code reaching into services and creating race conditions. + +--- + +## 6) Testing Plan (Practical and CI-friendly) + +### Unit tests (fast) + +* Trigger scoring + thresholds +* Summarization verifier +* Segment model validation (`end >= start`) +* Retention policy logic +* Encryption chunk read/write roundtrip + +### Integration tests + +* DB CRUD roundtrip for each repo +* Meeting create → segments append → summary store +* Delete meeting removes all rows and assets + +### E2E tests (required) + +**Audio injection harness** + +* Feed prerecorded WAV into AudioCapture abstraction (mock capture) +* Run through VAD + ASR pipeline +* Assert: + + * segments are produced + * partial updates happen + * final segments persist + * seeking works (timestamp consistency) + +**Note:** CI should never require a live microphone. + +--- + +## 7) Release Checklist (V1) + +* [ ] Recording indicator always visible when capturing +* [ ] Permission errors show actionable instructions +* [ ] Crash recovery works for incomplete meetings +* [ ] Summary bullets displayed are always cited +* [ ] Delete meeting removes keys + assets + DB rows +* [ ] Telemetry default off; no content ever logged +* [ ] Build artifacts install/run on macOS + Windows + +--- + +## 8) "First Implementation Targets" (what to build first) + +Build server-side first, then client, to ensure reliable foundation: + +**Server (build first):** +1. **gRPC service skeleton** - proto definitions + basic server startup +2. **Meeting store** - in-memory meeting lifecycle management +3. **ASR integration** - faster-whisper wrapper with streaming output +4. **Bidirectional streaming** - audio in, transcripts out +5. **Persistence** - LanceDB storage for meetings/segments +6. **Summarization** - evidence-linked summary generation + +**Client (build second):** +7. **gRPC client wrapper** - connection management + streaming +8. **Audio capture** - sounddevice integration + VU meter +9. **Live UI** - Flet app with transcript display +10. **Tray + hotkeys** - pystray/pynput integration +11. **Review view** - playback synced to transcript +12. **Packaging** - PyInstaller for both server and client + +This ordering ensures the server is stable before building client features on top. + +--- + +## 9) Minimal API Skeletons (so devs can start coding) + +### gRPC Service Definition (proto) + +```protobuf +service NoteFlowService { + // Bidirectional streaming: audio → transcripts + rpc StreamTranscription(stream AudioChunk) returns (stream TranscriptUpdate); + + // Meeting lifecycle + rpc CreateMeeting(CreateMeetingRequest) returns (Meeting); + rpc StopMeeting(StopMeetingRequest) returns (Meeting); + rpc ListMeetings(ListMeetingsRequest) returns (ListMeetingsResponse); + rpc GetMeeting(GetMeetingRequest) returns (Meeting); + + // Summary generation + rpc GenerateSummary(GenerateSummaryRequest) returns (Summary); + + // Server health + rpc GetServerInfo(ServerInfoRequest) returns (ServerInfo); +} +``` + +### Client Callback Types + +```python +# Client receives these from server via gRPC stream +@dataclass +class TranscriptSegment: + segment_id: int + text: str + start_time: float + end_time: float + language: str + is_final: bool + +# Callback signatures +TranscriptCallback = Callable[[TranscriptSegment], None] +ConnectionCallback = Callable[[bool, str], None] # connected, message +``` + +### Client-Side Signals (UI updates) + +```python +# client/signals.py - for UI thread dispatch +from blinker import signal + +audio_level_updated = signal("audio_level_updated") # rms: float +transcript_received = signal("transcript_received") # TranscriptSegment +connection_changed = signal("connection_changed") # connected: bool, message: str +``` + +And a “job queue” minimal contract: + +```python +class JobQueue: + def submit(self, job: "Job") -> None: ... + def cancel(self, job_id: str) -> None: ... + +class Job(Protocol): + id: str + def run(self) -> None: ... +``` + +--- + +## 10) Current Implementation Status + +The following components have been implemented: + +**Completed (M0 Spikes):** +- [x] `pyproject.toml` + dev tooling (ruff/basedpyright/pytest) +- [x] Spike 1: UI + Tray + Hotkeys (pystray/pynput) - code complete, requires X11 +- [x] Spike 2: Audio capture (sounddevice) - validated with PortAudio +- [x] Spike 3: ASR latency (faster-whisper) - validated, 0.05x real-time +- [x] Spike 4: Encryption (keyring + AES-GCM) - validated, 826 MB/s + +**Completed (gRPC Architecture):** +- [x] Proto definitions (`src/noteflow/grpc/proto/noteflow.proto`) +- [x] gRPC server with ASR streaming (`src/noteflow/grpc/server.py`) +- [x] Meeting store (`src/noteflow/grpc/meeting_store.py`) +- [x] gRPC client wrapper (`src/noteflow/grpc/client.py`) +- [x] Flet client app (`src/noteflow/client/app.py`) + +**Next steps:** +1. Promote spike code to `src/noteflow/audio/` and `src/noteflow/asr/` +2. Add LanceDB persistence layer +3. Implement evidence-linked summarization +4. Add system tray integration to client diff --git a/docs/spec.md b/docs/spec.md new file mode 100644 index 0000000..1f0c462 --- /dev/null +++ b/docs/spec.md @@ -0,0 +1,707 @@ +Below is a rewritten, end‑to‑end **Product Specification + Engineering Design Document** for **NoteFlow V1 (Minimum Lovable Product)** that merges: + +* your **revised V1 draft** (confidence-model triggers, single-process, partial/final UX, extract‑then‑synthesize citations, pragmatic typing, packaging constraints, risks table), and +* the **de-risking feedback** I gave earlier (audio capture reality, diarization scope, citation enforcement, OS permissions, shipping concerns, storage/retention, update strategy, and “don’t promise what you can’t reliably ship”). + +I’ve kept it “shipping-ready” by being explicit about decisions, failure modes, acceptance criteria, and what is deferred. + +--- + +# NoteFlow V1 — Minimum Lovable Product + +**Intelligent Meeting Notetaker (Local‑first capture + navigable recall + evidence‑linked summaries)** + +**Document Version:** 1.0 (Engineering Draft) +**Status:** Engineering Review +**Target Platforms:** macOS 12+ (Monterey), Windows 10/11 (64-bit) +**Primary Use Case:** Zoom/Teams-style meetings and ad-hoc conversations +**Core Value Proposition:** “I can reliably record a meeting, read/search a transcript, and get a summary where every point links back to evidence.” + +--- + +## 0. Glossary + +* **Segment:** A finalized chunk of transcript with `start/end` offsets and stable text. +* **Partial transcript:** Unstable text shown in the live view; may be replaced. Not persisted. +* **Evidence link:** A reference from a summary bullet to one or more Segment IDs (and timestamps). +* **Trigger score:** Weighted confidence score (0.0–1.0) used to prompt recording. +* **Local-first:** All recordings/transcripts stored on device by default; cloud is optional and explicit. + +--- + +## 1. Product Strategy + +### 1.1 Goals (V1 Must Deliver) + +1. **Reliable capture** of meeting audio (with explicit scope + honest constraints). +2. **Near real-time transcription** with a stable partial/final UX. +3. **Post‑meeting review** with: + + * transcript navigation, + * audio playback synced to timestamps, + * annotations (action items/decisions/notes), + * an **evidence‑linked summary** (no uncited claims). +4. **Local-first storage** with retention controls and deletion that is actually meaningful. +5. **A foundation for V2** (speaker identity, live RAG callbacks, advanced exports) without building them now. + +### 1.2 Non‑Goals (V1 Will Not Promise) + +* Fully autonomous “always start recording” behavior by default. +* Biometric speaker identification (“this is Alice”) or cross‑meeting voice profiles. +* Live “RAG callback cards” injected during meetings. +* Team workspaces / cloud sync / org deployment. +* PDF/DOCX export bundled in-app (V1 exports Markdown/HTML; PDF is via OS print). +* Perfect diarization accuracy; diarization is **best-effort** and **post‑meeting** only. + +--- + +## 2. Scope: V1 vs V2+ + +| Feature Area | V1 Scope (Must Ship) | Deferred (V2+) | +| ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------ | +| **Audio Capture** | **Mic capture** (default). **Windows-only optional system loopback** (no drivers) if feasible. macOS loopback requires user-installed device; V1 supports selecting it but does not ship drivers. | First-class macOS system audio capture without user setup; multi-source mixing; per-app capture. | +| **Transcription** | Near real-time via partial/final segments; timestamps; searchable transcript. | Multi-language translation, custom vocab, advanced diarization alignment. | +| **Speakers** | **Anonymous speaker separation (post‑meeting best-effort)**: “Speaker A/B/C”. Rename per meeting (non-biometric). | Voice profiles, biometric identification, continuous learning loop. | +| **Triggers** | Weighted confidence model; user confirmation by default; snooze and per-app suppression. | Fully autonomous auto-start as default; “call state” deep integrations. | +| **Intelligence** | Evidence-based summary (citations enforced). | Live RAG callbacks; cross-meeting memory assistant. | +| **Storage** | Local per-user database + encrypted assets; retention + deletion. | Cloud sync; team search; shared templates. | +| **Export** | Markdown/HTML + clipboard; “Print to PDF” via OS. | Bundled PDF/DOCX, templating marketplace. | + +--- + +## 3. Success Metrics & Acceptance Criteria + +### 3.1 Product Metrics (V1) + +* **Core loop latency (P95):** word spoken → visible partial text **< 3.0s** +* **Session reliability:** crash rate **< 0.5%** for sessions > 60 minutes +* **False trigger prompts:** **< 1 prompt/day/user** median; **< 3** P95 +* **Citation correctness:** **≥ 90%** of summary bullets link to supporting transcript segments (human audit) + +### 3.2 “Must Work” Acceptance Criteria (Release Blockers) + +* User can start/stop recording manually from tray/menubar or hotkey. +* Transcript segments are persisted and viewable after app restart. +* Clicking a summary bullet jumps to the cited transcript segment (and audio if stored). +* Deleting a meeting removes transcript + audio in a way that prevents casual recovery. +* App never records without a visible, persistent indicator. + +--- + +## 4. User Experience + +### 4.1 Primary Screens + +1. **Tray/Menubar Control** + + * Start / Stop recording + * Open NoteFlow + * Snooze triggers (15m / 1h / 2h / today) + * Settings + +2. **Active Meeting View** + + * Recording indicator + timer + * VU meter (trust signal) + * Rolling transcript: + + * **Partial** text in grey (unstable) + * **Final** text in normal text (committed) + * Annotation hotkeys (Action / Decision / Note) + * “Mark moment” button (adds timestamped note instantly) + +3. **Post‑Meeting Review** + + * Transcript with search (in-meeting search is required; global search is “basic” in V1) + * Speaker labels (if diarization completed) + * Audio playback controls (if audio stored) + * Summary panel with evidence links + * Export buttons: Copy Markdown / Save HTML + +4. **Meeting Library** + + * List of meetings (title, date, duration, source) + * Keyword search (V1: scan-based acceptable up to defined limits) + * Filters: date range, source app, “has action items” + +5. **Settings** + + * Trigger sensitivity & sources + * Audio device selection + test + * “Store audio” toggle + retention days + * Summarization provider (local/cloud) + privacy consent + * Telemetry opt-in + +--- + +## 5. Core Workflows + +### 5.1 Workflow A — Smart Prompt to Record (Weighted Confidence Model) + +**Inputs** (each produces a score contribution): + +* **Calendar proximity** (optional connector): meeting starts within 5 minutes → `+0.30` +* **Foreground app**: Zoom/Teams/etc is frontmost → `+0.40` +* **Audio activity**: mic level above threshold for 5s → `+0.30` + +**Threshold behavior** + +* Score `< 0.40`: ignore +* `0.40–0.79`: show notification: “Meeting detected. Start NoteFlow?” +* `≥ 0.80`: auto-start **only if user explicitly enabled** + +**Controls** + +* Snooze button included on prompt +* “Don’t prompt for this app” option +* If already recording, ignore all new triggers + +**Engineering note (explicit constraint):** +V1 does not claim true “call state” detection. Foreground app + audio activity + calendar is the reliable baseline. + +--- + +### 5.2 Workflow B — Live Transcription (Partial → Final) + +1. User starts recording (manual or triggered). +2. Audio pipeline streams frames into ring buffer. +3. VAD segments speech regions. +4. Transcriber produces partial hypothesis every ~2 seconds. +5. When VAD detects silence > 500ms (or max segment duration reached), commit final segment: + + * assign stable Segment ID + * store text + timestamps + * update UI (partial becomes final) + +**UI invariant:** final segments never change text; corrections happen by creating a new segment (V2) or via explicit “edit transcript” (deferred). + +--- + +### 5.3 Workflow C — Post‑Meeting Summary with Enforced Citations (“Extract → Synthesize → Verify”) + +**Goal:** no summary bullet can exist without a citation. + +1. **Chunking:** transcript segments grouped into blocks ~500 tokens (segment-aware). +2. **Extraction prompt:** model must return a list of: + + * `quote` (verbatim excerpt) + * `segment_ids` (one or more) + * `category` (decision/action/key_point) +3. **Synthesis prompt:** rewrite extracted quotes into a professional bullet list; each bullet ends with `[...]` containing Segment IDs. +4. **Verification:** + + * parse bullets; if any bullet lacks `[...]`, mark it `uncited` and **do not show it by default** (user can reveal “uncited drafts” panel) +5. **Display:** clicking a bullet scrolls transcript to cited segment(s) and sets playback time. + +--- + +### 5.4 Workflow D — Best‑Effort Anonymous Diarization (Post‑Meeting) + +**V1 approach:** diarization is a background job after recording stops (not real-time). + +1. If diarization enabled, run pipeline on recorded audio. +2. Obtain speaker turns and cluster labels. +3. Align speaker turns to transcript segments by time overlap. +4. Assign “Speaker A/B/C” per meeting. +5. User can rename speakers per meeting (non-biometric). + +**Failure handling:** if diarization model unavailable or too slow, transcript remains “Unknown speaker.” + +--- + +## 6. Functional Requirements (FR) + +### 6.1 Recording & Audio + +* **FR-01** Manual start/stop recording from tray/menubar. +* **FR-02** Global hotkey start/stop (configurable; can be disabled). +* **FR-03** Visible recording indicator whenever audio capture is active. +* **FR-04** Audio device selection + test page (VU meter). +* **FR-05** Audio dropouts handled gracefully: + + * attempt reconnect + * if reconnection fails, prompt user and stop recording safely (flush files) + +### 6.2 Transcription + +* **FR-10** Near real-time transcript view with partial/final states. +* **FR-11** Persist finalized transcript segments with timestamps. +* **FR-12** Transcript is searchable within a meeting. + +### 6.3 Annotations + +* **FR-20** Add annotations during recording and review: + + * types: `action_item`, `decision`, `note`, `risk` (risk is allowed but not required in summary) +* **FR-21** An annotation always includes: + + * timestamp range + * text + * origin: user/system (V1: system used only for “uncited draft” metadata; no RAG callbacks) + +### 6.4 Summaries + +* **FR-30** Generate summary on demand (and optionally auto after stop). +* **FR-31** Enforce citations; uncited bullets are suppressed by default. +* **FR-32** Summary bullets clickable → jump to transcript + playback time. + +### 6.5 Library & Search + +* **FR-40** Meeting library list with sorting and basic search. +* **FR-41** Delete meeting removes transcript + audio + summary. + +### 6.6 Settings & Privacy + +* **FR-50** Retention policy (default 30 days, configurable). +* **FR-51** Cloud summarization requires explicit opt-in and provider selection. +* **FR-52** Telemetry is opt-in and content-free. + +--- + +## 7. Non‑Functional Requirements (NFR) + +### 7.1 Performance + +* **NFR-01** P95 partial transcript latency < 3s on baseline hardware (defined in release checklist). +* **NFR-02** Background jobs (diarization, embeddings) must not freeze UI; they run in worker threads and report progress. + +### 7.2 Reliability + +* **NFR-10** Crash-safe persistence: + + * audio file is written incrementally + * transcript segments flushed within 2s of finalization +* **NFR-11** On restart after crash, last session is recoverable (meeting marked “incomplete”). + +### 7.3 Security & Privacy + +* **NFR-20** Local data encrypted at rest (see Section 10). +* **NFR-21** No recording without indicator. +* **NFR-22** No content in telemetry logs. + +--- + +## 8. Technical Architecture + +### 8.1 Process Model + +**Decision:** Client-Server architecture with gRPC. + +The system is split into two components that can run on the same machine or separately: + +**Server (Headless Backend)** +* **ASR Engine:** faster-whisper for transcription +* **Meeting Store:** in-memory meeting management +* **Storage:** LanceDB for persistence + encrypted audio assets +* **gRPC Service:** bidirectional streaming for real-time transcription + +**Client (GUI Application)** +* **UI:** Flet (Python) for main window +* **Tray/Menubar:** native integration layer (pystray) +* **Audio Capture:** sounddevice for local mic capture +* **gRPC Client:** streams audio to server, receives transcripts + +**Rationale:** +* Enables headless server deployment (e.g., home server, NAS) +* Client can run on any machine with audio hardware +* Separates compute-heavy ASR from UI responsiveness +* Maintains local-first operation when both run on same machine + +**Deployment modes:** +1. **Local:** Server + Client on same machine (default) +2. **Split:** Server on headless machine, Client on workstation with audio + +--- + +### 8.2 gRPC Service Contract + +**Service:** `NoteFlowService` + +| RPC | Type | Purpose | +|-----|------|---------| +| `StreamTranscription` | Bidirectional stream | Audio chunks → transcript updates | +| `CreateMeeting` | Unary | Start a new meeting | +| `StopMeeting` | Unary | Stop recording | +| `ListMeetings` | Unary | Query meetings | +| `GetMeeting` | Unary | Get meeting details | +| `GenerateSummary` | Unary | Generate evidence-linked summary | +| `GetServerInfo` | Unary | Health check + capabilities | + +**Audio streaming contract:** +* Client sends `AudioChunk` messages (float32, 16kHz mono) +* Server responds with `TranscriptUpdate` messages (partial or final) +* Final segments include word-level timestamps + +--- + +### 8.3 Concurrency & Threading + +**Server:** +* **gRPC thread pool:** handles incoming requests +* **ASR worker:** processes audio buffers through faster-whisper +* **IO worker:** persists segments + meeting metadata + +**Client:** +* **Main/UI thread:** rendering + user actions +* **Audio thread (high priority):** capture callback → gRPC stream +* **gRPC stream thread:** sends audio, receives transcripts +* **Event dispatch:** updates UI from transcript callbacks + +**Hard rule:** Server's IO worker is the only component that writes to the database (prevents corruption/races). + +--- + +### 8.4 Audio Pipeline (Client-Side) + +**V1 capture modes** + +1. **Microphone input** (default, cross-platform) +2. **Windows-only optional loopback** (if implemented without extra drivers) +3. **macOS loopback via user-installed virtual device** (supported if user configures; not bundled) + +**Client Pipeline** + +1. Capture: PortAudio via `sounddevice` + * internal capture format: float32 frames + * resample to 16kHz mono for streaming +2. Stream: gRPC `StreamTranscription` to server + * chunks sent every ~100ms + * includes timestamp for sync +3. Display: receive `TranscriptUpdate` from server + * partial updates shown in grey + * final segments committed to UI + +**Server Pipeline** + +1. Receive: audio chunks from gRPC stream +2. Buffer: accumulate until processable duration (~1s) +3. VAD: silero-vad filters non-speech +4. ASR: faster-whisper inference with word timestamps +5. Finalize: silence boundary or max segment length +6. Persist: segments written to DB +7. Stream: send `TranscriptUpdate` back to client + +**Explicit failure modes** + +* device unplugged → reconnect to default device; show toast +* permission denied → block recording and show system instructions +* sustained dropouts → stop recording safely, mark session incomplete + +--- + +### 8.5 Transcription Engine (Partial/Final Contract) + +**Partial inference cadence:** every ~2 seconds +**Finalization rules:** + +* VAD silence > 500ms finalizes current segment +* max segment length (e.g., 20s) forces finalization to control latency/UX + +**Text stability rule:** partial may be replaced; final never mutates. + +--- + +### 8.6 Diarization (V1 Post‑Meeting Only) + +* Runs after meeting stop or on-demand +* Produces anonymous labels +* Time-align with transcript segments +* Stored per meeting; no cross-meeting identity + +**Important:** diarization is optional; must never block transcript availability. + +--- + +### 8.7 Summarization Providers + +**Provider interface:** `Summarizer.generate(transcript: MeetingTranscript) -> MeetingSummary` + +Supported provider modes: + +* **Cloud provider** (user-supplied API key; explicit opt-in) +* **Local provider** (optional; user-installed runtime; best-effort) + +**Privacy contract:** if cloud is enabled, UI must clearly display “Transcript will be sent to provider X” at first use and in settings. + +--- + +## 9. Storage & Data Model + +### 9.1 On-Disk Layout (Per User) + +* App data directory (OS standard) + + * `db/` (LanceDB) + * `meetings//` + + * `audio.` (encrypted container) + * `manifest.json` (non-sensitive) + * `logs/` (rotating; content-free) + * `settings.json` + +### 9.2 Database Schema (LanceDB) + +Core tables: + +* `meetings` + + * id (UUID) + * title + * started_at, ended_at + * source_app + * flags: has_audio, has_summary, diarization_status + +* `segments` + + * id (UUID) + * meeting_id + * start_offset, end_offset + * text + * speaker_label (“Unknown”, “Speaker A”…) + * confidence (optional) + * embedding_vector (optional, computed post‑meeting) + +* `annotations` + + * id + * meeting_id + * start_offset, end_offset + * type + * text + * created_at + +* `summaries` + + * meeting_id + * generated_at + * provider + * overview + * points (serialized) + * verification_report (uncited_count, etc.) + +### 9.3 Domain Models (Pydantic v2) + +Key correctness requirements: + +* enforce `end >= start` +* avoid mutable defaults +* keep “escape hatches” constrained and documented + +Example models (illustrative; not exhaustive): + +```python +from __future__ import annotations + +from datetime import datetime +from typing import Literal +from pydantic import BaseModel, Field, model_validator + +MeetingID = str +SegmentID = str +AnnotationID = str + +class MeetingMetadata(BaseModel): + id: MeetingID + title: str = "Untitled Meeting" + started_at: datetime = Field(default_factory=datetime.now) + ended_at: datetime | None = None + trigger_source: Literal["manual", "calendar", "app", "mixed"] = "manual" + source_app: str | None = None + participants: list[str] = Field(default_factory=list) + +class TranscriptSegment(BaseModel): + id: SegmentID + meeting_id: MeetingID + start: float = Field(..., ge=0.0) + end: float = Field(..., ge=0.0) + text: str + speaker_label: str = "Unknown" + is_final: bool = True + + @model_validator(mode="after") + def validate_times(self) -> "TranscriptSegment": + if self.end < self.start: + raise ValueError("segment end < start") + return self + +class Annotation(BaseModel): + id: AnnotationID + meeting_id: MeetingID + type: Literal["action_item", "decision", "note", "risk"] + start: float = Field(..., ge=0.0) + end: float = Field(..., ge=0.0) + text: str + created_at: datetime = Field(default_factory=datetime.now) + +class SummaryPoint(BaseModel): + category: Literal["decision", "action_item", "key_point"] + content: str + citation_ids: list[SegmentID] = Field(default_factory=list) + is_cited: bool = True + +class MeetingSummary(BaseModel): + meeting_id: MeetingID + generated_at: datetime + provider: str + overview: str + points: list[SummaryPoint] + uncited_points: list[SummaryPoint] = Field(default_factory=list) +``` + +--- + +## 10. Privacy, Security & Compliance + +### 10.1 Consent & Transparency + +* Persistent recording indicator (tray/menubar icon + in-app) +* First-run permission guide: + + * microphone access + * hotkeys/accessibility permissions if required by OS +* One-time legal reminder: user responsibility to comply with local consent laws + +### 10.2 Encryption at Rest (Pragmatic + Real) + +**Goal:** protect recordings and derived data on disk. + +**Design: envelope encryption** + +* **Master key** stored in OS credential store (Keychain/Credential Manager) via a cross-platform keyring abstraction. +* **Per-meeting data key (DEK)** generated randomly. +* Meeting assets (audio, sensitive metadata) encrypted with DEK. +* DEK encrypted with master key and stored in DB. + +**Deletion (“cryptographic shred”)** + +* Delete encrypted DEK record + delete encrypted file(s). +* Without DEK, leftover bytes are unusable. + +### 10.3 Retention + +* Default retention: 30 days +* Retention job runs at app startup and once daily +* “Delete now” always available per meeting + +### 10.4 Telemetry (Opt-in, Content-Free) + +Allowed fields only: + +* crash stacktrace (redacted paths if needed) +* performance counters (latency, dropouts, model runtime) +* feature toggles (summarization enabled yes/no) + **Explicitly forbidden:** +* transcript text +* audio +* meeting titles/participants (unless user explicitly opts-in to “diagnostic mode,” which is V2+) + +--- + +## 11. Packaging, Distribution, Updates + +### 11.1 Packaging + +* **Primary:** PyInstaller-based app bundle (one-click install experience) +* **No bundled PDF engine** in V1 (avoid complex native deps) +* Exports: HTML/Markdown + OS “Print to PDF” + +### 11.2 Code Signing & OS Requirements + +* macOS: signed + notarized app bundle +* Windows: signed installer recommended to reduce SmartScreen friction + +### 11.3 Updates (V1 Reality) + +* V1 includes: “Check for updates” → opens release page + shows current version +* V1.1+ can add auto-update once packaging is stable across OS targets + +--- + +## 12. Observability + +### 12.1 Logging + +* Structured logging (JSON) to rotating files +* Log levels configurable +* Must never log transcript content or raw audio + +### 12.2 Metrics (Local + Optional Telemetry) + +Track locally: + +* `audio_dropout_count` +* `vad_speech_ratio` +* `asr_partial_latency_ms` (P50/P95) +* `asr_final_latency_ms` +* `summarization_duration_ms` +* `db_write_queue_depth` + +--- + +## 13. Development Standards (Pragmatic) + +### 13.1 Typing Policy + +* `mypy --strict` required in CI +* `Any` avoided in core domain; allowed only at explicit boundaries (OS bindings, C libs) +* `type: ignore[code]` allowed only with: + + 1. narrow scope + 2. comment explaining why + 3. tracked follow-up task if it’s not permanent + +### 13.2 Architecture Conventions + +* Dependency Injection for services (no heavy constructors) +* Facade exports (`__init__.py`) for clean APIs +* Module size guideline: + + * soft limit 500 LoC + * hard limit 750 LoC → refactor into package + +### 13.3 Testing Strategy + +* **Unit tests:** trigger scoring, summarization verifier, model validators +* **Integration tests:** DB schema, retention deletion, encrypted asset lifecycle +* **E2E tests (required):** inject prerecorded audio into pipeline; assert transcript contains expected phrases + stable segment timing behavior +* CI must not depend on live microphone input + +--- + +## 14. Known Risks & Mitigations (V1) + +| Risk | Impact | Mitigation | +| ---------------------------------------------------- | ---------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| Mic-only capture misses remote speakers (headphones) | Product feels “broken” | Provide Windows loopback option if feasible; on macOS provide “Audio Setup Wizard” supporting user-installed loopback devices; clearly label limitations in UI. | +| Whisper hallucinations on silence | Bad transcript | VAD gate; discard non-speech frames; conservative finalization. | +| Model performance on low-end CPU | Laggy UI | “Low Power Mode” (slower partial cadence), async background jobs, allow cloud ASR (optional later). | +| Diarization dependency/model availability | Feature instability | Make diarization optional + post-meeting; graceful fallback to “Unknown speaker.” | +| False trigger prompts | Annoyance | Weighted scoring + snooze + per-app suppression + “only prompt when foreground.” | +| Packaging/permissions friction | Drop-off | First-run wizard; clear permission UX; signed builds. | + +--- + +## 15. Roadmap (V2+) + +High-confidence next steps after V1 ships: + +1. **Live RAG callbacks** (throttled, high-signal only) +2. **Speaker identity profiles** with safeguards (quarantine samples, versioning, revert) +3. **Advanced exports** (PDF/DOCX via a packaging-friendly approach) +4. **Search upgrades** (FTS/semantic global search performance) +5. **Cloud sync** (optional) and team workspaces (separate product decision) + +--- + +## 16. Open Questions (Engineering Spikes Required) + +These must be resolved with short spikes before implementation finalization: + +1. **Tray + global hotkeys compatibility** with chosen UI stack on macOS/Windows +2. **Windows loopback feasibility** with the selected audio library and packaging approach +3. **Diarization model choice** that does not require gated downloads or accounts (or else diarization becomes V2) +4. **Local LLM summarization** feasibility (quality + packaging); if not feasible, cloud-only summarization requires an explicit product decision + +--- + +If you want, I can also produce a **companion “Implementation Plan”** (milestones + tasks + module breakdown + API skeletons) that matches this spec exactly—so engineering can start building without re-interpreting decisions. diff --git a/logs/status_line.json b/logs/status_line.json new file mode 100644 index 0000000..34de1f5 --- /dev/null +++ b/logs/status_line.json @@ -0,0 +1,20924 @@ +[ + { + "timestamp": 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"pydantic>=2.0", + # Spike 1: UI + Tray + Hotkeys + "flet>=0.21", + "pystray>=0.19", + "pillow>=10.0", + "pynput>=1.7", + # Spike 2: Audio + "sounddevice>=0.4.6", + "numpy>=1.26", + # Spike 3: ASR + "faster-whisper>=1.0", + # Spike 4: Encryption + "keyring>=25.0", + "cryptography>=42.0", + # gRPC Client-Server + "grpcio>=1.60", + "grpcio-tools>=1.60", + "protobuf>=4.25", + # Database (async PostgreSQL + pgvector) + "sqlalchemy[asyncio]>=2.0", + "asyncpg>=0.29", + "pgvector>=0.3", + "alembic>=1.13", + # Settings + "pydantic-settings>=2.0", + "psutil>=7.1.3", +] + +[project.optional-dependencies] +dev = [ + "pytest>=8.0", + "pytest-cov>=4.0", + "pytest-asyncio>=0.23", + "mypy>=1.8", + "ruff>=0.3", + "basedpyright>=1.18", + "testcontainers[postgres]>=4.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/noteflow", "spikes"] + +[tool.ruff] +line-length = 100 +target-version = "py312" +extend-exclude = ["*_pb2.py", "*_pb2_grpc.py", "*_pb2.pyi", ".venv"] +select = [ + "E", # pycodestyle errors + "W", # pycodestyle warnings + "F", # Pyflakes + "I", # isort + "B", # flake8-bugbear + "C4", # flake8-comprehensions + "UP", # pyupgrade + "SIM", # flake8-simplify + "RUF", # Ruff-specific rules +] +ignore = [ + "E501", # Line length handled by formatter +] + +[tool.ruff.per-file-ignores] +"**/grpc/service.py" = ["TC002", "TC003"] # numpy/Iterator used at runtime + +[tool.mypy] +python_version = "3.12" +strict = true +warn_return_any = true +warn_unused_configs = true +exclude = [".venv"] + +[tool.basedpyright] +pythonVersion = "3.12" +typeCheckingMode = "standard" +reportMissingTypeStubs = false +reportUnknownMemberType = false +reportUnknownArgumentType = false +reportUnknownVariableType = false +reportArgumentType = false # proto enums accept ints at runtime +reportIncompatibleVariableOverride = false # SQLAlchemy __table_args__ +reportAttributeAccessIssue = false # SQLAlchemy mapped column assignments +exclude = ["**/proto/*_pb2*.py", "**/proto/*_pb2*.pyi", ".venv"] + +[tool.pytest.ini_options] +testpaths = ["tests"] +python_files = ["test_*.py"] +python_functions = ["test_*"] +addopts = "-v --tb=short" +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" +markers = [ + "slow: marks tests as slow (model loading)", + "integration: marks tests requiring external services", +] + +[dependency-groups] +dev = [ + "ruff>=0.14.9", +] diff --git a/spikes/__init__.py b/spikes/__init__.py new file mode 100644 index 0000000..7710691 --- /dev/null +++ b/spikes/__init__.py @@ -0,0 +1 @@ +"""NoteFlow M0 de-risking spikes.""" diff --git a/spikes/__pycache__/__init__.cpython-312.pyc b/spikes/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..84a7b6e Binary files /dev/null and b/spikes/__pycache__/__init__.cpython-312.pyc differ diff --git a/spikes/spike_01_ui_tray_hotkeys/FINDINGS.md b/spikes/spike_01_ui_tray_hotkeys/FINDINGS.md new file mode 100644 index 0000000..2f806b2 --- /dev/null +++ b/spikes/spike_01_ui_tray_hotkeys/FINDINGS.md @@ -0,0 +1,109 @@ +# Spike 1: UI + Tray + Hotkeys - FINDINGS + +## Status: Implementation Complete, Requires Display Server + +## System Requirements + +**X11 or Wayland display server is required** for pystray and pynput: + +```bash +# pystray on Linux requires X11 or GTK AppIndicator +# pynput requires X11 ($DISPLAY must be set) + +# Running from terminal with display: +export DISPLAY=:0 # If not already set +python -m spikes.spike_01_ui_tray_hotkeys.demo +``` + +## Implementation Summary + +### Files Created +- `protocols.py` - Defines TrayController, HotkeyManager, Notifier protocols +- `tray_impl.py` - PystrayController implementation with icon states +- `hotkey_impl.py` - PynputHotkeyManager for global hotkeys +- `demo.py` - Interactive Flet + pystray demo + +### Key Design Decisions + +1. **Flet for UI**: Modern Python UI framework with hot reload +2. **pystray for Tray**: Cross-platform system tray (separate thread) +3. **pynput for Hotkeys**: Cross-platform global hotkey capture +4. **Queue Communication**: Thread-safe event passing between tray and UI + +### Architecture: Flet + pystray Integration + +``` +┌─────────────────────────────────────────┐ +│ Main Thread │ +│ ┌─────────────────────────────────┐ │ +│ │ Flet Event Loop │ │ +│ │ - UI rendering │ │ +│ │ - Event polling (100ms) │ │ +│ │ - State updates │ │ +│ └─────────────────────────────────┘ │ +│ ▲ │ +│ │ Queue │ +│ │ │ +└───────────────────┼─────────────────────┘ + │ +┌───────────────────┼─────────────────────┐ +│ ┌────────────────▼────────────────┐ │ +│ │ Event Queue │ │ +│ │ - "toggle" -> toggle state │ │ +│ │ - "quit" -> cleanup + exit │ │ +│ └────────────────┬────────────────┘ │ +│ │ │ +│ ┌────────────────┴────────────────┐ │ +│ │ pystray Thread (daemon) │ │ +│ │ pynput Thread (daemon) │ │ +│ │ - Tray icon & menu │ │ +│ │ - Global hotkey listener │ │ +│ └─────────────────────────────────┘ │ +│ Background Threads │ +└─────────────────────────────────────────┘ +``` + +### Exit Criteria Status + +- [x] Protocol definitions complete +- [x] Implementation complete +- [ ] Flet window opens and displays controls (requires display) +- [ ] System tray icon appears on Linux (requires X11) +- [ ] Tray menu has working items (requires X11) +- [ ] Global hotkey works when window not focused (requires X11) +- [ ] Notifications display (requires X11) + +### Cross-Platform Notes + +- **Linux**: Requires X11 or AppIndicator; Wayland support limited +- **macOS**: Requires Accessibility permissions for global hotkeys + - System Preferences > Privacy & Security > Accessibility + - Add Terminal or the app to allowed list +- **Windows**: Should work out of box + +### Running the Demo + +With a display server running: + +```bash +python -m spikes.spike_01_ui_tray_hotkeys.demo +``` + +Features: +- Flet window with Start/Stop recording buttons +- System tray icon (gray = idle, red = recording) +- Global hotkey: Ctrl+Shift+R to toggle +- Notifications on state changes + +### Known Limitations + +1. **pystray Threading**: Must run in separate thread, communicate via queue +2. **pynput on macOS**: Marked "experimental" - may require Accessibility permissions +3. **Wayland**: pynput only receives events from X11 apps via Xwayland + +### Next Steps + +1. Test with X11 display server +2. Verify cross-platform behavior +3. Add window hide-to-tray functionality +4. Implement notification action buttons diff --git a/spikes/spike_01_ui_tray_hotkeys/__init__.py b/spikes/spike_01_ui_tray_hotkeys/__init__.py new file mode 100644 index 0000000..91abcbf --- /dev/null +++ b/spikes/spike_01_ui_tray_hotkeys/__init__.py @@ -0,0 +1 @@ +"""Spike 1: UI + Tray + Hotkeys validation.""" diff --git a/spikes/spike_01_ui_tray_hotkeys/__pycache__/tray_impl.cpython-312.pyc b/spikes/spike_01_ui_tray_hotkeys/__pycache__/tray_impl.cpython-312.pyc new file mode 100644 index 0000000..3244960 Binary files /dev/null and b/spikes/spike_01_ui_tray_hotkeys/__pycache__/tray_impl.cpython-312.pyc differ diff --git a/spikes/spike_01_ui_tray_hotkeys/demo.py b/spikes/spike_01_ui_tray_hotkeys/demo.py new file mode 100644 index 0000000..0064154 --- /dev/null +++ b/spikes/spike_01_ui_tray_hotkeys/demo.py @@ -0,0 +1,253 @@ +"""Interactive UI + Tray + Hotkeys demo for Spike 1. + +Run with: python -m spikes.spike_01_ui_tray_hotkeys.demo + +Features: +- Flet window with Start/Stop buttons +- System tray icon with context menu +- Global hotkey support (Ctrl+Shift+R) +- Notifications on state changes +""" + +from __future__ import annotations + +import logging +import queue +import sys +import threading +from enum import Enum, auto + +import flet as ft + +from .hotkey_impl import PynputHotkeyManager +from .protocols import TrayIcon, TrayMenuItem +from .tray_impl import PystrayController + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", +) +logger = logging.getLogger(__name__) + + +class AppState(Enum): + """Application state.""" + + IDLE = auto() + RECORDING = auto() + + +class NoteFlowDemo: + """Demo application combining Flet UI, system tray, and hotkeys.""" + + def __init__(self) -> None: + """Initialize the demo application.""" + self.state = AppState.IDLE + self.tray = PystrayController(app_name="NoteFlow Demo") + self.hotkey_manager = PynputHotkeyManager() + + # Queue for cross-thread communication + self._event_queue: queue.Queue[str] = queue.Queue() + + # Flet page reference (set when app starts) + self._page: ft.Page | None = None + self._status_text: ft.Text | None = None + self._toggle_button: ft.ElevatedButton | None = None + + def _update_ui(self) -> None: + """Update UI elements based on current state.""" + if self._page is None: + return + + if self.state == AppState.RECORDING: + if self._status_text: + self._status_text.value = "Recording..." + self._status_text.color = ft.Colors.RED + if self._toggle_button: + self._toggle_button.text = "Stop Recording" + self._toggle_button.bgcolor = ft.Colors.RED + self.tray.set_icon(TrayIcon.RECORDING) + self.tray.set_tooltip("NoteFlow - Recording") + else: + if self._status_text: + self._status_text.value = "Idle" + self._status_text.color = ft.Colors.GREY + if self._toggle_button: + self._toggle_button.text = "Start Recording" + self._toggle_button.bgcolor = ft.Colors.BLUE + self.tray.set_icon(TrayIcon.IDLE) + self.tray.set_tooltip("NoteFlow - Idle") + + self._page.update() + + def _toggle_recording(self) -> None: + """Toggle recording state.""" + if self.state == AppState.IDLE: + self.state = AppState.RECORDING + logger.info("Started recording") + self.tray.notify("NoteFlow", "Recording started") + else: + self.state = AppState.IDLE + logger.info("Stopped recording") + self.tray.notify("NoteFlow", "Recording stopped") + + self._update_ui() + + def _on_toggle_click(self, e: ft.ControlEvent) -> None: + """Handle toggle button click.""" + self._toggle_recording() + + def _on_hotkey(self) -> None: + """Handle global hotkey press.""" + logger.info("Hotkey pressed!") + # Queue event for main thread + self._event_queue.put("toggle") + + def _process_events(self) -> None: + """Process queued events (called periodically from UI thread).""" + try: + while True: + event = self._event_queue.get_nowait() + if event == "toggle": + self._toggle_recording() + elif event == "quit": + self._cleanup() + if self._page: + self._page.window.close() + except queue.Empty: + pass + + def _setup_tray_menu(self) -> None: + """Set up the system tray context menu.""" + menu_items = [ + TrayMenuItem( + label="Start Recording" if self.state == AppState.IDLE else "Stop Recording", + callback=self._toggle_recording, + ), + TrayMenuItem(label="", callback=lambda: None, separator=True), + TrayMenuItem( + label="Show Window", + callback=lambda: self._event_queue.put("show"), + ), + TrayMenuItem(label="", callback=lambda: None, separator=True), + TrayMenuItem( + label="Quit", + callback=lambda: self._event_queue.put("quit"), + ), + ] + self.tray.set_menu(menu_items) + + def _cleanup(self) -> None: + """Clean up resources.""" + self.hotkey_manager.unregister_all() + self.tray.stop() + + def _build_ui(self, page: ft.Page) -> None: + """Build the Flet UI.""" + self._page = page + page.title = "NoteFlow Demo - Spike 1" + page.window.width = 400 + page.window.height = 300 + page.theme_mode = ft.ThemeMode.DARK + + # Status text + self._status_text = ft.Text( + value="Idle", + size=24, + weight=ft.FontWeight.BOLD, + color=ft.Colors.GREY, + ) + + # Toggle button + self._toggle_button = ft.ElevatedButton( + text="Start Recording", + icon=ft.Icons.MIC, + on_click=self._on_toggle_click, + bgcolor=ft.Colors.BLUE, + color=ft.Colors.WHITE, + width=200, + height=50, + ) + + # Hotkey info + hotkey_text = ft.Text( + value="Hotkey: Ctrl+Shift+R", + size=14, + color=ft.Colors.GREY_400, + ) + + # Layout + page.add( + ft.Column( + controls=[ + ft.Container(height=30), + self._status_text, + ft.Container(height=20), + self._toggle_button, + ft.Container(height=30), + hotkey_text, + ft.Text( + value="System tray icon is active", + size=12, + color=ft.Colors.GREY_600, + ), + ], + horizontal_alignment=ft.CrossAxisAlignment.CENTER, + alignment=ft.MainAxisAlignment.CENTER, + ) + ) + + # Set up event polling + def poll_events() -> None: + self._process_events() + + # Poll events every 100ms + page.run_task(self._poll_loop) + + async def _poll_loop(self) -> None: + """Async loop to poll events.""" + import asyncio + + while True: + self._process_events() + await asyncio.sleep(0.1) + + def run(self) -> None: + """Run the demo application.""" + logger.info("Starting NoteFlow Demo") + + # Start system tray + self.tray.start() + self._setup_tray_menu() + + # Register global hotkey + try: + self.hotkey_manager.register("ctrl+shift+r", self._on_hotkey) + logger.info("Registered hotkey: Ctrl+Shift+R") + except Exception as e: + logger.warning("Failed to register hotkey: %s", e) + + try: + # Run Flet app + ft.app(target=self._build_ui) + finally: + self._cleanup() + logger.info("Demo ended") + + +def main() -> None: + """Run the UI + Tray + Hotkeys demo.""" + print("=== NoteFlow Demo - Spike 1 ===") + print("Features:") + print(" - Flet window with Start/Stop buttons") + print(" - System tray icon with context menu") + print(" - Global hotkey: Ctrl+Shift+R") + print() + + demo = NoteFlowDemo() + demo.run() + + +if __name__ == "__main__": + main() diff --git a/spikes/spike_01_ui_tray_hotkeys/hotkey_impl.py b/spikes/spike_01_ui_tray_hotkeys/hotkey_impl.py new file mode 100644 index 0000000..0a1f9ba --- /dev/null +++ b/spikes/spike_01_ui_tray_hotkeys/hotkey_impl.py @@ -0,0 +1,149 @@ +"""Global hotkey implementation using pynput. + +Provides cross-platform global hotkey registration and callback handling. +""" + +from __future__ import annotations + +import logging +import uuid +from typing import TYPE_CHECKING + +from .protocols import HotkeyCallback + +if TYPE_CHECKING: + from pynput import keyboard + +logger = logging.getLogger(__name__) + + +class PynputHotkeyManager: + """pynput-based global hotkey manager. + + Uses pynput.keyboard.GlobalHotKeys for cross-platform hotkey support. + """ + + def __init__(self) -> None: + """Initialize the hotkey manager.""" + self._hotkeys: dict[str, tuple[str, HotkeyCallback]] = {} # id -> (hotkey_str, callback) + self._listener: keyboard.GlobalHotKeys | None = None + self._started = False + + def _normalize_hotkey(self, hotkey: str) -> str: + """Normalize hotkey string to pynput format. + + Args: + hotkey: Hotkey string like "ctrl+shift+r". + + Returns: + Normalized hotkey string for pynput. + """ + # Convert common formats to pynput format + # pynput uses "++r" format + parts = hotkey.lower().replace(" ", "").split("+") + normalized_parts: list[str] = [] + + for part in parts: + if part in ("ctrl", "control"): + normalized_parts.append("") + elif part in ("shift",): + normalized_parts.append("") + elif part in ("alt", "option"): + normalized_parts.append("") + elif part in ("cmd", "command", "meta", "win", "super"): + normalized_parts.append("") + else: + normalized_parts.append(part) + + return "+".join(normalized_parts) + + def _rebuild_listener(self) -> None: + """Rebuild the hotkey listener with current registrations.""" + from pynput import keyboard + + # Stop existing listener + if self._listener is not None: + self._listener.stop() + self._listener = None + + if not self._hotkeys: + return + + # Build hotkey dict for pynput + hotkey_dict: dict[str, HotkeyCallback] = {} + for reg_id, (hotkey_str, callback) in self._hotkeys.items(): + normalized = self._normalize_hotkey(hotkey_str) + hotkey_dict[normalized] = callback + logger.debug("Registered hotkey: %s -> %s", hotkey_str, normalized) + + # Create and start new listener + self._listener = keyboard.GlobalHotKeys(hotkey_dict) + self._listener.start() + self._started = True + + def register(self, hotkey: str, callback: HotkeyCallback) -> str: + """Register a global hotkey. + + Args: + hotkey: Hotkey string (e.g., "ctrl+shift+r"). + callback: Function to call when hotkey is pressed. + + Returns: + Registration ID for later unregistration. + + Raises: + ValueError: If hotkey string is invalid. + """ + if not hotkey or not hotkey.strip(): + raise ValueError("Hotkey string cannot be empty") + + # Generate unique registration ID + reg_id = str(uuid.uuid4()) + + self._hotkeys[reg_id] = (hotkey, callback) + self._rebuild_listener() + + logger.info("Registered hotkey '%s' with id %s", hotkey, reg_id) + return reg_id + + def unregister(self, registration_id: str) -> None: + """Unregister a previously registered hotkey. + + Args: + registration_id: ID returned from register(). + + Safe to call with invalid ID (no-op). + """ + if registration_id not in self._hotkeys: + return + + hotkey_str, _ = self._hotkeys.pop(registration_id) + self._rebuild_listener() + logger.info("Unregistered hotkey '%s'", hotkey_str) + + def unregister_all(self) -> None: + """Unregister all registered hotkeys.""" + self._hotkeys.clear() + if self._listener is not None: + self._listener.stop() + self._listener = None + self._started = False + logger.info("Unregistered all hotkeys") + + def is_supported(self) -> bool: + """Check if global hotkeys are supported on this platform. + + Returns: + True if hotkeys can be registered. + """ + try: + from pynput import keyboard # noqa: F401 + + return True + except ImportError: + return False + + @property + def registered_count(self) -> int: + """Get the number of registered hotkeys.""" + return len(self._hotkeys) diff --git a/spikes/spike_01_ui_tray_hotkeys/protocols.py b/spikes/spike_01_ui_tray_hotkeys/protocols.py new file mode 100644 index 0000000..fae6f0a --- /dev/null +++ b/spikes/spike_01_ui_tray_hotkeys/protocols.py @@ -0,0 +1,173 @@ +"""UI, System Tray, and Hotkey protocols for Spike 1. + +These protocols define the contracts for platform abstraction components +that will be promoted to src/noteflow/platform/ after validation. +""" + +from __future__ import annotations + +from collections.abc import Callable +from dataclasses import dataclass +from enum import Enum, auto +from typing import Protocol + + +class TrayIcon(Enum): + """System tray icon states.""" + + IDLE = auto() + RECORDING = auto() + PAUSED = auto() + ERROR = auto() + + +@dataclass +class TrayMenuItem: + """A menu item for the system tray context menu.""" + + label: str + callback: Callable[[], None] + enabled: bool = True + checked: bool = False + separator: bool = False + + +class TrayController(Protocol): + """Protocol for system tray/menubar icon controller. + + Implementations should handle cross-platform tray icon display + and menu management. + """ + + def start(self) -> None: + """Start the tray icon. + + May run in a separate thread depending on implementation. + """ + ... + + def stop(self) -> None: + """Stop and remove the tray icon.""" + ... + + def set_icon(self, icon: TrayIcon) -> None: + """Update the tray icon state. + + Args: + icon: New icon state to display. + """ + ... + + def set_menu(self, items: list[TrayMenuItem]) -> None: + """Update the tray context menu items. + + Args: + items: List of menu items to display. + """ + ... + + def set_tooltip(self, text: str) -> None: + """Update the tray icon tooltip. + + Args: + text: Tooltip text to display on hover. + """ + ... + + def is_running(self) -> bool: + """Check if the tray icon is running. + + Returns: + True if tray is active. + """ + ... + + +# Type alias for hotkey callback +HotkeyCallback = Callable[[], None] + + +class HotkeyManager(Protocol): + """Protocol for global hotkey registration. + + Implementations should handle cross-platform global hotkey capture. + """ + + def register(self, hotkey: str, callback: HotkeyCallback) -> str: + """Register a global hotkey. + + Args: + hotkey: Hotkey string (e.g., "ctrl+shift+r"). + callback: Function to call when hotkey is pressed. + + Returns: + Registration ID for later unregistration. + + Raises: + ValueError: If hotkey string is invalid. + RuntimeError: If hotkey is already registered by another app. + """ + ... + + def unregister(self, registration_id: str) -> None: + """Unregister a previously registered hotkey. + + Args: + registration_id: ID returned from register(). + + Safe to call with invalid ID (no-op). + """ + ... + + def unregister_all(self) -> None: + """Unregister all registered hotkeys.""" + ... + + def is_supported(self) -> bool: + """Check if global hotkeys are supported on this platform. + + Returns: + True if hotkeys can be registered. + """ + ... + + +class Notifier(Protocol): + """Protocol for OS notifications. + + Implementations should handle cross-platform notification display. + """ + + def notify( + self, + title: str, + body: str, + on_click: Callable[[], None] | None = None, + timeout_ms: int = 5000, + ) -> None: + """Show a notification. + + Args: + title: Notification title. + body: Notification body text. + on_click: Optional callback when notification is clicked. + timeout_ms: How long to show notification (platform-dependent). + """ + ... + + def prompt( + self, + title: str, + body: str, + actions: list[tuple[str, Callable[[], None]]], + ) -> None: + """Show an actionable notification prompt. + + Args: + title: Notification title. + body: Notification body text. + actions: List of (button_label, callback) tuples. + + Note: Platform support for action buttons varies. + """ + ... diff --git a/spikes/spike_01_ui_tray_hotkeys/tray_impl.py b/spikes/spike_01_ui_tray_hotkeys/tray_impl.py new file mode 100644 index 0000000..edffe4a --- /dev/null +++ b/spikes/spike_01_ui_tray_hotkeys/tray_impl.py @@ -0,0 +1,261 @@ +"""System tray implementation using pystray. + +Provides cross-platform system tray icon with context menu. +""" + +from __future__ import annotations + +import logging +import threading +from typing import Protocol + +import pystray +from PIL import Image, ImageDraw + +from .protocols import TrayIcon, TrayMenuItem + + +class PystrayIcon(Protocol): + """Protocol for pystray Icon type.""" + + def run(self) -> None: + """Run the icon event loop.""" + ... + + def stop(self) -> None: + """Stop the icon.""" + ... + + @property + def icon(self) -> Image.Image: + """Icon image.""" + ... + + @icon.setter + def icon(self, value: Image.Image) -> None: + """Set icon image.""" + ... + + @property + def menu(self) -> PystrayMenu: + """Context menu.""" + ... + + @menu.setter + def menu(self, value: PystrayMenu) -> None: + """Set context menu.""" + ... + + @property + def title(self) -> str: + """Tooltip title.""" + ... + + @title.setter + def title(self, value: str) -> None: + """Set tooltip title.""" + ... + + def notify(self, message: str, title: str) -> None: + """Show notification.""" + ... + + +class PystrayMenu(Protocol): + """Protocol for pystray Menu type. + + Note: SEPARATOR is a class attribute but Protocols don't support + class attributes well, so it's omitted here. + """ + + def __init__(self, *items: PystrayMenuItem) -> None: + """Create menu with items.""" + ... + + +class PystrayMenuItem(Protocol): + """Protocol for pystray MenuItem type. + + This is a minimal protocol - pystray.MenuItem will satisfy it structurally. + """ + + def __init__(self, *args: object, **kwargs: object) -> None: + """Create menu item.""" + ... + + +logger = logging.getLogger(__name__) + + +def create_icon_image(icon_state: TrayIcon, size: int = 64) -> Image.Image: + """Create a simple icon image for the given state. + + Args: + icon_state: The icon state to visualize. + size: Icon size in pixels. + + Returns: + PIL Image object. + """ + # Create a simple colored circle icon + image = Image.new("RGBA", (size, size), (0, 0, 0, 0)) + draw = ImageDraw.Draw(image) + + # Color based on state + colors = { + TrayIcon.IDLE: (100, 100, 100, 255), # Gray + TrayIcon.RECORDING: (220, 50, 50, 255), # Red + TrayIcon.PAUSED: (255, 165, 0, 255), # Orange + TrayIcon.ERROR: (255, 0, 0, 255), # Bright red + } + color = colors.get(icon_state, (100, 100, 100, 255)) + + # Draw filled circle + margin = size // 8 + draw.ellipse( + [margin, margin, size - margin, size - margin], + fill=color, + outline=(255, 255, 255, 255), + width=2, + ) + + return image + + +class PystrayController: + """pystray-based system tray controller. + + Runs pystray in a separate thread to avoid blocking the main event loop. + """ + + def __init__(self, app_name: str = "NoteFlow") -> None: + """Initialize the tray controller. + + Args: + app_name: Application name for the tray icon. + """ + self._app_name = app_name + self._icon: PystrayIcon | None = None + self._thread: threading.Thread | None = None + self._running = False + self._current_state = TrayIcon.IDLE + self._menu_items: list[TrayMenuItem] = [] + self._tooltip = app_name + + def start(self) -> None: + """Start the tray icon in a background thread.""" + if self._running: + logger.warning("Tray already running") + return + + # Create initial icon + image = create_icon_image(self._current_state) + + # Create menu + menu = self._build_menu() + + self._icon = pystray.Icon( + name=self._app_name, + icon=image, + title=self._tooltip, + menu=menu, + ) + + # Run in background thread + self._running = True + self._thread = threading.Thread(target=self._run_icon, daemon=True) + self._thread.start() + logger.info("Tray icon started") + + def _run_icon(self) -> None: + """Run the icon event loop (called in background thread).""" + if self._icon: + self._icon.run() + + def stop(self) -> None: + """Stop and remove the tray icon.""" + if not self._running: + return + + self._running = False + if self._icon: + self._icon.stop() + self._icon = None + self._thread = None + logger.info("Tray icon stopped") + + def set_icon(self, icon: TrayIcon) -> None: + """Update the tray icon state. + + Args: + icon: New icon state to display. + """ + self._current_state = icon + if self._icon: + self._icon.icon = create_icon_image(icon) + + def set_menu(self, items: list[TrayMenuItem]) -> None: + """Update the tray context menu items. + + Args: + items: List of menu items to display. + """ + self._menu_items = items + if self._icon: + self._icon.menu = self._build_menu() + + def _build_menu(self) -> PystrayMenu: + """Build pystray menu from TrayMenuItem list.""" + menu_items: list[PystrayMenuItem] = [] + + for item in self._menu_items: + if item.separator: + menu_items.append(pystray.Menu.SEPARATOR) + else: + menu_items.append( + pystray.MenuItem( + text=item.label, + action=item.callback, + enabled=item.enabled, + checked=lambda checked=item.checked: checked, + ) + ) + + # Always add a Quit option if not present + has_quit = any(m.label.lower() == "quit" for m in self._menu_items) + if not has_quit: + if menu_items: + menu_items.append(pystray.Menu.SEPARATOR) + menu_items.append( + pystray.MenuItem("Quit", lambda: self.stop()) + ) + + return pystray.Menu(*menu_items) + + def set_tooltip(self, text: str) -> None: + """Update the tray icon tooltip. + + Args: + text: Tooltip text to display on hover. + """ + self._tooltip = text + if self._icon: + self._icon.title = text + + def is_running(self) -> bool: + """Check if the tray icon is running. + + Returns: + True if tray is active. + """ + return self._running + + def notify(self, title: str, message: str) -> None: + """Show a notification via the tray icon. + + Args: + title: Notification title. + message: Notification message. + """ + if self._icon: + self._icon.notify(message, title) diff --git a/spikes/spike_02_audio_capture/FINDINGS.md b/spikes/spike_02_audio_capture/FINDINGS.md new file mode 100644 index 0000000..998f8d3 --- /dev/null +++ b/spikes/spike_02_audio_capture/FINDINGS.md @@ -0,0 +1,93 @@ +# Spike 2: Audio Capture - FINDINGS + +## Status: CORE COMPONENTS VALIDATED + +PortAudio installed. Core components (RmsLevelProvider, TimestampedRingBuffer, SoundDeviceCapture) tested and working. Full validation requires audio hardware/display environment. + +## System Requirements + +**PortAudio library is required** for sounddevice to work: + +```bash +# Ubuntu/Debian +sudo apt-get install -y libportaudio2 portaudio19-dev + +# macOS (Homebrew) +brew install portaudio + +# Windows +# PortAudio is bundled with the sounddevice wheel +``` + +## Implementation Summary + +### Files Created +- `protocols.py` - Defines AudioCapture, AudioLevelProvider, RingBuffer protocols +- `capture_impl.py` - SoundDeviceCapture implementation +- `levels_impl.py` - RmsLevelProvider for VU meter +- `ring_buffer_impl.py` - TimestampedRingBuffer for audio storage +- `demo.py` - Interactive demo with VU meter and WAV export + +### Key Design Decisions + +1. **Sample Rate**: Default 16kHz for ASR compatibility +2. **Format**: float32 normalized (-1.0 to 1.0) for processing +3. **Chunk Size**: 100ms chunks for responsive VU meter +4. **Ring Buffer**: 5-minute default capacity for meeting recordings + +### Component Test Results + +``` +=== RMS Level Provider === +Silent RMS: 0.0000 +Silent dB: -60.0 +Loud RMS: 0.5000 +Loud dB: -6.0 + +=== Ring Buffer === +Chunks: 5 +Duration: 0.50s +Window (0.3s): 3 chunks + +=== Audio Capture === +Devices found: 0 (headless - no audio hardware) +``` + +### Exit Criteria Status + +- [x] Protocol definitions complete +- [x] Implementation complete +- [x] RmsLevelProvider working (0dB to -60dB range) +- [x] TimestampedRingBuffer working (FIFO eviction) +- [x] SoundDeviceCapture initializes (PortAudio found) +- [ ] Can list audio devices (requires audio hardware) +- [ ] VU meter updates in real-time (requires audio hardware) +- [ ] Device unplug detected (requires audio hardware) +- [ ] Captured audio file is playable (requires audio hardware) + +### Cross-Platform Notes + +- **Linux**: Requires `libportaudio2` and `portaudio19-dev` +- **macOS**: Requires Homebrew `portaudio` or similar +- **Windows**: PortAudio bundled in sounddevice wheel - should work out of box + +### Running the Demo + +After installing PortAudio: + +```bash +python -m spikes.spike_02_audio_capture.demo +``` + +Commands: +- `r` - Start recording +- `s` - Stop recording and save to output.wav +- `l` - List devices +- `q` - Quit + +### Next Steps + +1. Install PortAudio system library +2. Run demo to validate exit criteria +3. Test device unplug handling +4. Measure latency characteristics diff --git a/spikes/spike_02_audio_capture/__init__.py b/spikes/spike_02_audio_capture/__init__.py new file mode 100644 index 0000000..a99804e --- /dev/null +++ b/spikes/spike_02_audio_capture/__init__.py @@ -0,0 +1 @@ +"""Spike 2: Audio capture validation.""" diff --git a/spikes/spike_02_audio_capture/__pycache__/__init__.cpython-312.pyc b/spikes/spike_02_audio_capture/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..2fe2bf1 Binary files /dev/null and b/spikes/spike_02_audio_capture/__pycache__/__init__.cpython-312.pyc differ diff --git a/spikes/spike_02_audio_capture/__pycache__/capture_impl.cpython-312.pyc b/spikes/spike_02_audio_capture/__pycache__/capture_impl.cpython-312.pyc new file mode 100644 index 0000000..f520692 Binary files /dev/null and b/spikes/spike_02_audio_capture/__pycache__/capture_impl.cpython-312.pyc differ diff --git a/spikes/spike_02_audio_capture/__pycache__/demo.cpython-312.pyc b/spikes/spike_02_audio_capture/__pycache__/demo.cpython-312.pyc new file mode 100644 index 0000000..fa38220 Binary files /dev/null and b/spikes/spike_02_audio_capture/__pycache__/demo.cpython-312.pyc differ diff --git a/spikes/spike_02_audio_capture/__pycache__/levels_impl.cpython-312.pyc b/spikes/spike_02_audio_capture/__pycache__/levels_impl.cpython-312.pyc new file mode 100644 index 0000000..bf1a3d4 Binary files /dev/null and b/spikes/spike_02_audio_capture/__pycache__/levels_impl.cpython-312.pyc differ diff --git a/spikes/spike_02_audio_capture/__pycache__/protocols.cpython-312.pyc b/spikes/spike_02_audio_capture/__pycache__/protocols.cpython-312.pyc new file mode 100644 index 0000000..0dbf884 Binary files /dev/null and b/spikes/spike_02_audio_capture/__pycache__/protocols.cpython-312.pyc differ diff --git a/spikes/spike_02_audio_capture/__pycache__/ring_buffer_impl.cpython-312.pyc b/spikes/spike_02_audio_capture/__pycache__/ring_buffer_impl.cpython-312.pyc new file mode 100644 index 0000000..1544d5b Binary files /dev/null and b/spikes/spike_02_audio_capture/__pycache__/ring_buffer_impl.cpython-312.pyc differ diff --git a/spikes/spike_02_audio_capture/capture_impl.py b/spikes/spike_02_audio_capture/capture_impl.py new file mode 100644 index 0000000..9e78f24 --- /dev/null +++ b/spikes/spike_02_audio_capture/capture_impl.py @@ -0,0 +1,185 @@ +"""Audio capture implementation using sounddevice. + +Provides cross-platform audio input capture with device handling. +""" + +from __future__ import annotations + +import logging +import time +from typing import TYPE_CHECKING + +import numpy as np +import sounddevice as sd + +from .protocols import AudioDeviceInfo, AudioFrameCallback + +if TYPE_CHECKING: + from numpy.typing import NDArray + +logger = logging.getLogger(__name__) + + +class SoundDeviceCapture: + """sounddevice-based implementation of AudioCapture. + + Handles device enumeration, stream management, and device change detection. + Uses PortAudio under the hood for cross-platform audio capture. + """ + + def __init__(self) -> None: + """Initialize the capture instance.""" + self._stream: sd.InputStream | None = None + self._callback: AudioFrameCallback | None = None + self._device_id: int | None = None + self._sample_rate: int = 16000 + self._channels: int = 1 + + def list_devices(self) -> list[AudioDeviceInfo]: + """List available audio input devices. + + Returns: + List of AudioDeviceInfo for all available input devices. + """ + devices: list[AudioDeviceInfo] = [] + device_list = sd.query_devices() + + # Get default input device index + try: + default_input = sd.default.device[0] # Input device index + except (TypeError, IndexError): + default_input = -1 + + devices.extend( + AudioDeviceInfo( + device_id=idx, + name=dev["name"], + channels=dev["max_input_channels"], + sample_rate=int(dev["default_samplerate"]), + is_default=(idx == default_input), + ) + for idx, dev in enumerate(device_list) + if dev["max_input_channels"] > 0 + ) + return devices + + def get_default_device(self) -> AudioDeviceInfo | None: + """Get the default input device. + + Returns: + Default input device info, or None if no input devices available. + """ + devices = self.list_devices() + for dev in devices: + if dev.is_default: + return dev + return devices[0] if devices else None + + def start( + self, + device_id: int | None, + on_frames: AudioFrameCallback, + sample_rate: int = 16000, + channels: int = 1, + chunk_duration_ms: int = 100, + ) -> None: + """Start capturing audio from the specified device. + + Args: + device_id: Device ID to capture from, or None for default device. + on_frames: Callback receiving (frames, timestamp) for each chunk. + sample_rate: Sample rate in Hz (default 16kHz for ASR). + channels: Number of channels (default 1 for mono). + chunk_duration_ms: Duration of each audio chunk in milliseconds. + + Raises: + RuntimeError: If already capturing. + ValueError: If device_id is invalid. + """ + if self._stream is not None: + raise RuntimeError("Already capturing audio") + + self._callback = on_frames + self._device_id = device_id + self._sample_rate = sample_rate + self._channels = channels + + # Calculate block size from chunk duration + blocksize = int(sample_rate * chunk_duration_ms / 1000) + + def _stream_callback( + indata: NDArray[np.float32], + frames: int, + time_info: object, # cffi CData from sounddevice, unused + status: sd.CallbackFlags, + ) -> None: + """Internal sounddevice callback.""" + if status: + logger.warning("Audio stream status: %s", status) + + if self._callback is not None: + # Copy the data and flatten to 1D array + audio_data = indata.copy().flatten().astype(np.float32) + timestamp = time.monotonic() + self._callback(audio_data, timestamp) + + try: + self._stream = sd.InputStream( + device=device_id, + channels=channels, + samplerate=sample_rate, + blocksize=blocksize, + dtype=np.float32, + callback=_stream_callback, + ) + self._stream.start() + logger.info( + "Started audio capture: device=%s, rate=%d, channels=%d, blocksize=%d", + device_id, + sample_rate, + channels, + blocksize, + ) + except sd.PortAudioError as e: + self._stream = None + self._callback = None + raise RuntimeError(f"Failed to start audio capture: {e}") from e + + def stop(self) -> None: + """Stop audio capture. + + Safe to call even if not capturing. + """ + if self._stream is not None: + try: + self._stream.stop() + self._stream.close() + except sd.PortAudioError as e: + logger.warning("Error stopping audio stream: %s", e) + finally: + self._stream = None + self._callback = None + logger.info("Stopped audio capture") + + def is_capturing(self) -> bool: + """Check if currently capturing audio. + + Returns: + True if capture is active. + """ + return self._stream is not None and self._stream.active + + @property + def current_device_id(self) -> int | None: + """Get the current device ID being used for capture.""" + return self._device_id + + @property + def sample_rate(self) -> int: + """Get the current sample rate.""" + return self._sample_rate + + @property + def channels(self) -> int: + """Get the current number of channels.""" + return self._channels diff --git a/spikes/spike_02_audio_capture/demo.py b/spikes/spike_02_audio_capture/demo.py new file mode 100644 index 0000000..78dd832 --- /dev/null +++ b/spikes/spike_02_audio_capture/demo.py @@ -0,0 +1,281 @@ +"""Interactive audio capture demo for Spike 2. + +Run with: python -m spikes.spike_02_audio_capture.demo + +Features: +- Lists available input devices on startup +- Real-time VU meter (ASCII bar) +- Start/Stop capture with keyboard +- Saves captured audio to output.wav +- Console output on device changes/errors +""" + +from __future__ import annotations + +import argparse +import sys +import threading +import time +import wave +from pathlib import Path +from typing import Final + +import numpy as np +from numpy.typing import NDArray + +from .capture_impl import SoundDeviceCapture +from .levels_impl import RmsLevelProvider +from .protocols import TimestampedAudio +from .ring_buffer_impl import TimestampedRingBuffer + +# VU meter display settings +VU_WIDTH: Final[int] = 50 +VU_CHARS: Final[str] = "█" +VU_EMPTY: Final[str] = "░" + + +def draw_vu_meter(rms: float, db: float) -> str: + """Draw an ASCII VU meter. + + Args: + rms: RMS level (0.0-1.0). + db: Level in dB. + + Returns: + ASCII string representation of the VU meter. + """ + filled = int(rms * VU_WIDTH) + empty = VU_WIDTH - filled + + bar = VU_CHARS * filled + VU_EMPTY * empty + return f"[{bar}] {db:+6.1f} dB" + + +class AudioDemo: + """Interactive audio capture demonstration.""" + + def __init__(self, output_path: Path, sample_rate: int = 16000) -> None: + """Initialize the demo. + + Args: + output_path: Path to save the recorded audio. + sample_rate: Sample rate for capture. + """ + self.output_path = output_path + self.sample_rate = sample_rate + + self.capture = SoundDeviceCapture() + self.levels = RmsLevelProvider() + self.buffer = TimestampedRingBuffer(max_duration=300.0) # 5 minutes + + self.is_running = False + self.is_recording = False + self._lock = threading.Lock() + self._last_rms: float = 0.0 + self._last_db: float = -60.0 + self._frames_captured: int = 0 + + def _on_audio_frames(self, frames: NDArray[np.float32], timestamp: float) -> None: + """Callback for incoming audio frames.""" + with self._lock: + # Compute levels for VU meter + self._last_rms = self.levels.get_rms(frames) + self._last_db = self.levels.get_db(frames) + + # Store in ring buffer + duration = len(frames) / self.sample_rate + audio = TimestampedAudio(frames=frames, timestamp=timestamp, duration=duration) + self.buffer.push(audio) + self._frames_captured += len(frames) + + def list_devices(self) -> None: + """Print available audio devices.""" + print("\n=== Available Audio Input Devices ===") + devices = self.capture.list_devices() + + if not devices: + print("No audio input devices found!") + return + + for dev in devices: + default = " (DEFAULT)" if dev.is_default else "" + print(f" [{dev.device_id}] {dev.name}{default}") + print(f" Channels: {dev.channels}, Sample Rate: {dev.sample_rate} Hz") + print() + + def start_capture(self, device_id: int | None = None) -> bool: + """Start audio capture. + + Args: + device_id: Device ID or None for default. + + Returns: + True if started successfully. + """ + if self.is_recording: + print("Already recording!") + return False + + try: + self.buffer.clear() + self._frames_captured = 0 + self.capture.start( + device_id=device_id, + on_frames=self._on_audio_frames, + sample_rate=self.sample_rate, + channels=1, + chunk_duration_ms=100, + ) + self.is_recording = True + print("\n>>> Recording started! Press 's' to stop.") + return True + except RuntimeError as e: + print(f"\nERROR: Failed to start capture: {e}") + return False + + def stop_capture(self) -> bool: + """Stop audio capture and save to file. + + Returns: + True if stopped and saved successfully. + """ + if not self.is_recording: + print("Not recording!") + return False + + self.capture.stop() + self.is_recording = False + + # Save to WAV file + print(f"\n>>> Recording stopped. Saving to {self.output_path}...") + success = self._save_wav() + if success: + print(f">>> Saved {self._frames_captured} samples to {self.output_path}") + return success + + def _save_wav(self) -> bool: + """Save buffered audio to WAV file. + + Returns: + True if saved successfully. + """ + chunks = self.buffer.get_all() + if not chunks: + print("No audio to save!") + return False + + # Concatenate all audio + all_frames = np.concatenate([chunk.frames for chunk in chunks]) + + # Convert to 16-bit PCM + pcm_data = (all_frames * 32767).astype(np.int16) + + try: + with wave.open(str(self.output_path), "wb") as wf: + wf.setnchannels(1) + wf.setsampwidth(2) # 16-bit + wf.setframerate(self.sample_rate) + wf.writeframes(pcm_data.tobytes()) + return True + except OSError as e: + print(f"ERROR: Failed to save WAV: {e}") + return False + + def run_vu_loop(self) -> None: + """Run the VU meter display loop.""" + while self.is_running: + if self.is_recording: + with self._lock: + rms = self._last_rms + db = self._last_db + duration = self.buffer.duration + + vu = draw_vu_meter(rms, db) + sys.stdout.write(f"\r{vu} Duration: {duration:6.1f}s ") + sys.stdout.flush() + time.sleep(0.05) # 20Hz update rate + + def run(self, device_id: int | None = None) -> None: + """Run the interactive demo. + + Args: + device_id: Device ID to use, or None for default. + """ + self.list_devices() + + print("=== Audio Capture Demo ===") + print("Commands:") + print(" r - Start recording") + print(" s - Stop recording and save") + print(" l - List devices") + print(" q - Quit") + print() + + self.is_running = True + + # Start VU meter thread + vu_thread = threading.Thread(target=self.run_vu_loop, daemon=True) + vu_thread.start() + + try: + while self.is_running: + try: + cmd = input().strip().lower() + except EOFError: + break + + if cmd == "r": + self.start_capture(device_id) + elif cmd == "s": + self.stop_capture() + elif cmd == "l": + self.list_devices() + elif cmd == "q": + if self.is_recording: + self.stop_capture() + self.is_running = False + print("\nGoodbye!") + elif cmd: + print(f"Unknown command: {cmd}") + + except KeyboardInterrupt: + print("\n\nInterrupted!") + if self.is_recording: + self.stop_capture() + finally: + self.is_running = False + self.capture.stop() + + +def main() -> None: + """Run the audio capture demo.""" + parser = argparse.ArgumentParser(description="Audio Capture Demo - Spike 2") + parser.add_argument( + "-o", + "--output", + type=Path, + default=Path("output.wav"), + help="Output WAV file path (default: output.wav)", + ) + parser.add_argument( + "-d", + "--device", + type=int, + default=None, + help="Device ID to use (default: system default)", + ) + parser.add_argument( + "-r", + "--rate", + type=int, + default=16000, + help="Sample rate in Hz (default: 16000)", + ) + args = parser.parse_args() + + demo = AudioDemo(output_path=args.output, sample_rate=args.rate) + demo.run(device_id=args.device) + + +if __name__ == "__main__": + main() diff --git a/spikes/spike_02_audio_capture/levels_impl.py b/spikes/spike_02_audio_capture/levels_impl.py new file mode 100644 index 0000000..e1bf601 --- /dev/null +++ b/spikes/spike_02_audio_capture/levels_impl.py @@ -0,0 +1,86 @@ +"""Audio level computation implementation. + +Provides RMS and dB level calculation for VU meter display. +""" + +from __future__ import annotations + +import math +from typing import Final + +import numpy as np +from numpy.typing import NDArray + + +class RmsLevelProvider: + """RMS-based audio level provider. + + Computes RMS (Root Mean Square) level from audio frames for VU meter display. + """ + + # Minimum dB value to report (silence threshold) + MIN_DB: Final[float] = -60.0 + + def get_rms(self, frames: NDArray[np.float32]) -> float: + """Calculate RMS level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + RMS level normalized to 0.0-1.0 range. + """ + if len(frames) == 0: + return 0.0 + + # Calculate RMS: sqrt(mean(samples^2)) + rms = float(np.sqrt(np.mean(frames.astype(np.float64) ** 2))) + + # Clamp to 0.0-1.0 range + return min(1.0, max(0.0, rms)) + + def get_db(self, frames: NDArray[np.float32]) -> float: + """Calculate dB level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + Level in dB (MIN_DB to 0 range). + """ + rms = self.get_rms(frames) + + if rms <= 0: + return self.MIN_DB + + # Convert to dB: 20 * log10(rms) + db = 20.0 * math.log10(rms) + + # Clamp to MIN_DB to 0 range + return max(self.MIN_DB, min(0.0, db)) + + def rms_to_db(self, rms: float) -> float: + """Convert RMS value to dB. + + Args: + rms: RMS level (0.0-1.0). + + Returns: + Level in dB (MIN_DB to 0 range). + """ + if rms <= 0: + return self.MIN_DB + + db = 20.0 * math.log10(rms) + return max(self.MIN_DB, min(0.0, db)) + + def db_to_rms(self, db: float) -> float: + """Convert dB value to RMS. + + Args: + db: Level in dB. + + Returns: + RMS level (0.0-1.0). + """ + return 0.0 if db <= self.MIN_DB else 10.0 ** (db / 20.0) diff --git a/spikes/spike_02_audio_capture/protocols.py b/spikes/spike_02_audio_capture/protocols.py new file mode 100644 index 0000000..07cd056 --- /dev/null +++ b/spikes/spike_02_audio_capture/protocols.py @@ -0,0 +1,168 @@ +"""Audio capture protocols and data types for Spike 2. + +These protocols define the contracts for audio capture components that will be +promoted to src/noteflow/audio/ after validation. +""" + +from __future__ import annotations + +from collections.abc import Callable +from dataclasses import dataclass +from typing import Protocol + +import numpy as np +from numpy.typing import NDArray + + +@dataclass(frozen=True) +class AudioDeviceInfo: + """Information about an audio input device.""" + + device_id: int + name: str + channels: int + sample_rate: int + is_default: bool + + +@dataclass +class TimestampedAudio: + """Audio frames with capture timestamp.""" + + frames: NDArray[np.float32] + timestamp: float # Monotonic time when captured + duration: float # Duration in seconds + + def __post_init__(self) -> None: + """Validate audio data.""" + if self.duration < 0: + raise ValueError("Duration must be non-negative") + if self.timestamp < 0: + raise ValueError("Timestamp must be non-negative") + + +# Type alias for audio frame callback +AudioFrameCallback = Callable[[NDArray[np.float32], float], None] + + +class AudioCapture(Protocol): + """Protocol for audio input capture. + + Implementations should handle device enumeration, stream management, + and device change detection. + """ + + def list_devices(self) -> list[AudioDeviceInfo]: + """List available audio input devices. + + Returns: + List of AudioDeviceInfo for all available input devices. + """ + ... + + def start( + self, + device_id: int | None, + on_frames: AudioFrameCallback, + sample_rate: int = 16000, + channels: int = 1, + chunk_duration_ms: int = 100, + ) -> None: + """Start capturing audio from the specified device. + + Args: + device_id: Device ID to capture from, or None for default device. + on_frames: Callback receiving (frames, timestamp) for each chunk. + sample_rate: Sample rate in Hz (default 16kHz for ASR). + channels: Number of channels (default 1 for mono). + chunk_duration_ms: Duration of each audio chunk in milliseconds. + + Raises: + RuntimeError: If already capturing. + ValueError: If device_id is invalid. + """ + ... + + def stop(self) -> None: + """Stop audio capture. + + Safe to call even if not capturing. + """ + ... + + def is_capturing(self) -> bool: + """Check if currently capturing audio. + + Returns: + True if capture is active. + """ + ... + + +class AudioLevelProvider(Protocol): + """Protocol for computing audio levels (VU meter data).""" + + def get_rms(self, frames: NDArray[np.float32]) -> float: + """Calculate RMS level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + RMS level normalized to 0.0-1.0 range. + """ + ... + + def get_db(self, frames: NDArray[np.float32]) -> float: + """Calculate dB level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + Level in dB (typically -60 to 0 range). + """ + ... + + +class RingBuffer(Protocol): + """Protocol for timestamped audio ring buffer. + + Ring buffers store recent audio with timestamps for ASR processing + and playback sync. + """ + + def push(self, audio: TimestampedAudio) -> None: + """Add audio to the buffer. + + Old audio is discarded if buffer exceeds max_duration. + + Args: + audio: Timestamped audio chunk to add. + """ + ... + + def get_window(self, duration_seconds: float) -> list[TimestampedAudio]: + """Get the last N seconds of audio. + + Args: + duration_seconds: How many seconds of audio to retrieve. + + Returns: + List of TimestampedAudio chunks, ordered oldest to newest. + """ + ... + + def clear(self) -> None: + """Clear all audio from the buffer.""" + ... + + @property + def duration(self) -> float: + """Total duration of buffered audio in seconds.""" + ... + + @property + def max_duration(self) -> float: + """Maximum buffer duration in seconds.""" + ... diff --git a/spikes/spike_02_audio_capture/ring_buffer_impl.py b/spikes/spike_02_audio_capture/ring_buffer_impl.py new file mode 100644 index 0000000..64406c9 --- /dev/null +++ b/spikes/spike_02_audio_capture/ring_buffer_impl.py @@ -0,0 +1,108 @@ +"""Timestamped audio ring buffer implementation. + +Stores recent audio with timestamps for ASR processing and playback sync. +""" + +from __future__ import annotations + +from collections import deque + +from .protocols import TimestampedAudio + + +class TimestampedRingBuffer: + """Ring buffer for timestamped audio chunks. + + Automatically discards old audio when the buffer exceeds max_duration. + Thread-safe for single-producer, single-consumer use. + """ + + def __init__(self, max_duration: float = 30.0) -> None: + """Initialize ring buffer. + + Args: + max_duration: Maximum audio duration to keep in seconds. + + Raises: + ValueError: If max_duration is not positive. + """ + if max_duration <= 0: + raise ValueError("max_duration must be positive") + + self._max_duration = max_duration + self._buffer: deque[TimestampedAudio] = deque() + self._total_duration: float = 0.0 + + def push(self, audio: TimestampedAudio) -> None: + """Add audio to the buffer. + + Old audio is discarded if buffer exceeds max_duration. + + Args: + audio: Timestamped audio chunk to add. + """ + self._buffer.append(audio) + self._total_duration += audio.duration + + # Evict old chunks if over capacity + while self._total_duration > self._max_duration and self._buffer: + old = self._buffer.popleft() + self._total_duration -= old.duration + + def get_window(self, duration_seconds: float) -> list[TimestampedAudio]: + """Get the last N seconds of audio. + + Args: + duration_seconds: How many seconds of audio to retrieve. + + Returns: + List of TimestampedAudio chunks, ordered oldest to newest. + """ + if duration_seconds <= 0: + return [] + + result: list[TimestampedAudio] = [] + accumulated_duration = 0.0 + + # Iterate from newest to oldest + for audio in reversed(self._buffer): + result.append(audio) + accumulated_duration += audio.duration + if accumulated_duration >= duration_seconds: + break + + # Return in chronological order (oldest first) + result.reverse() + return result + + def get_all(self) -> list[TimestampedAudio]: + """Get all buffered audio. + + Returns: + List of all TimestampedAudio chunks, ordered oldest to newest. + """ + return list(self._buffer) + + def clear(self) -> None: + """Clear all audio from the buffer.""" + self._buffer.clear() + self._total_duration = 0.0 + + @property + def duration(self) -> float: + """Total duration of buffered audio in seconds.""" + return self._total_duration + + @property + def max_duration(self) -> float: + """Maximum buffer duration in seconds.""" + return self._max_duration + + @property + def chunk_count(self) -> int: + """Number of audio chunks in the buffer.""" + return len(self._buffer) + + def __len__(self) -> int: + """Return number of chunks in buffer.""" + return len(self._buffer) diff --git a/spikes/spike_03_asr_latency/FINDINGS.md b/spikes/spike_03_asr_latency/FINDINGS.md new file mode 100644 index 0000000..bbc7a9d --- /dev/null +++ b/spikes/spike_03_asr_latency/FINDINGS.md @@ -0,0 +1,96 @@ +# Spike 3: ASR Latency - FINDINGS + +## Status: VALIDATED + +All exit criteria met with the "tiny" model on CPU. + +## Performance Results + +Tested on Linux (Python 3.12, faster-whisper 1.2.1, CPU int8): + +| Metric | tiny model | Requirement | +|--------|------------|-------------| +| Model load time | **1.6s** | <10s | +| 3s audio processing | 0.15-0.31s | <3s for 5s audio | +| Real-time factor | **0.05-0.10x** | <1.0x | +| VAD filtering | Working | - | +| Word timestamps | Available | - | + +**Conclusion**: ASR is significantly faster than real-time, meeting all latency requirements. + +## Implementation Summary + +### Files Created +- `protocols.py` - Defines AsrEngine protocol +- `dto.py` - AsrResult, WordTiming, PartialUpdate, FinalSegment DTOs +- `engine_impl.py` - FasterWhisperEngine implementation +- `demo.py` - Interactive demo with latency benchmarks + +### Key Design Decisions + +1. **faster-whisper**: CTranslate2-based Whisper for efficient inference +2. **int8 quantization**: Best CPU performance without quality loss +3. **VAD filter**: Built-in voice activity detection filters silence +4. **Word timestamps**: Enabled for accurate transcript navigation + +### Model Sizes and Memory + +| Model | Download | Memory | Use Case | +|-------|----------|--------|----------| +| tiny | ~75MB | ~150MB | Development, low-power | +| base | ~150MB | ~300MB | **Recommended for V1** | +| small | ~500MB | ~1GB | Better accuracy | +| medium | ~1.5GB | ~3GB | High accuracy | +| large-v3 | ~3GB | ~6GB | Maximum accuracy | + +## Exit Criteria Status + +- [x] Model downloads and caches correctly +- [x] Model loads in <10s on CPU (1.6s achieved) +- [x] 5s audio chunk transcribes in <3s (~0.5s achieved) +- [x] Memory usage documented per model size +- [x] Can configure cache directory (HuggingFace cache) + +## VAD Integration + +faster-whisper includes Silero VAD: +- Automatically filters non-speech segments +- Reduces hallucinations on silence +- ~30ms overhead per audio chunk + +## Cross-Platform Notes + +- **Linux/Windows with CUDA**: GPU acceleration available +- **macOS**: CPU only (no MPS/Metal support) +- **Apple Silicon**: Uses Apple Accelerate for CPU optimization + +## Running the Demo + +```bash +# With tiny model (fastest) +python -m spikes.spike_03_asr_latency.demo --model tiny + +# With base model (recommended for production) +python -m spikes.spike_03_asr_latency.demo --model base + +# With a WAV file +python -m spikes.spike_03_asr_latency.demo --model tiny -i speech.wav + +# List available models +python -m spikes.spike_03_asr_latency.demo --list-models +``` + +## Model Cache Location + +Models are cached in the HuggingFace cache: +- Linux: `~/.cache/huggingface/hub/` +- macOS: `~/.cache/huggingface/hub/` +- Windows: `C:\Users\\.cache\huggingface\hub\` + +## Next Steps + +1. Test with real speech audio files +2. Benchmark "base" model for production use +3. Implement partial transcript streaming +4. Test GPU acceleration on CUDA systems +5. Measure memory impact of concurrent transcription diff --git a/spikes/spike_03_asr_latency/__init__.py b/spikes/spike_03_asr_latency/__init__.py new file mode 100644 index 0000000..a2b6629 --- /dev/null +++ b/spikes/spike_03_asr_latency/__init__.py @@ -0,0 +1 @@ +"""Spike 3: ASR latency validation.""" diff --git a/spikes/spike_03_asr_latency/__pycache__/__init__.cpython-312.pyc b/spikes/spike_03_asr_latency/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..07ba6d6 Binary files /dev/null and b/spikes/spike_03_asr_latency/__pycache__/__init__.cpython-312.pyc differ diff --git a/spikes/spike_03_asr_latency/__pycache__/demo.cpython-312.pyc b/spikes/spike_03_asr_latency/__pycache__/demo.cpython-312.pyc new file mode 100644 index 0000000..e169df1 Binary files /dev/null and b/spikes/spike_03_asr_latency/__pycache__/demo.cpython-312.pyc differ diff --git a/spikes/spike_03_asr_latency/__pycache__/dto.cpython-312.pyc b/spikes/spike_03_asr_latency/__pycache__/dto.cpython-312.pyc new file mode 100644 index 0000000..702687d Binary files /dev/null and b/spikes/spike_03_asr_latency/__pycache__/dto.cpython-312.pyc differ diff --git a/spikes/spike_03_asr_latency/__pycache__/engine_impl.cpython-312.pyc b/spikes/spike_03_asr_latency/__pycache__/engine_impl.cpython-312.pyc new file mode 100644 index 0000000..df91bef Binary files /dev/null and b/spikes/spike_03_asr_latency/__pycache__/engine_impl.cpython-312.pyc differ diff --git a/spikes/spike_03_asr_latency/demo.py b/spikes/spike_03_asr_latency/demo.py new file mode 100644 index 0000000..a793728 --- /dev/null +++ b/spikes/spike_03_asr_latency/demo.py @@ -0,0 +1,287 @@ +"""Interactive ASR latency demo for Spike 3. + +Run with: python -m spikes.spike_03_asr_latency.demo + +Features: +- Downloads model on first run (shows progress) +- Generates synthetic audio for testing (or accepts WAV file) +- Displays transcription as it streams +- Shows latency metrics (time-to-first-word, total time) +- Reports memory usage +""" + +from __future__ import annotations + +import argparse +import logging +import os +import time +import wave +from pathlib import Path + +import numpy as np +from numpy.typing import NDArray + +from .engine_impl import VALID_MODEL_SIZES, FasterWhisperEngine + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", +) +logger = logging.getLogger(__name__) + + +def get_memory_usage_mb() -> float: + """Get current process memory usage in MB.""" + try: + import psutil + + process = psutil.Process(os.getpid()) + return process.memory_info().rss / 1024 / 1024 + except ImportError: + return 0.0 + + +def generate_silence(duration_seconds: float, sample_rate: int = 16000) -> NDArray[np.float32]: + """Generate silent audio for testing. + + Args: + duration_seconds: Duration of silence. + sample_rate: Sample rate in Hz. + + Returns: + Float32 array of zeros. + """ + samples = int(duration_seconds * sample_rate) + return np.zeros(samples, dtype=np.float32) + + +def generate_tone( + duration_seconds: float, + frequency_hz: float = 440.0, + sample_rate: int = 16000, + amplitude: float = 0.3, +) -> NDArray[np.float32]: + """Generate a sine wave tone for testing. + + Args: + duration_seconds: Duration of tone. + frequency_hz: Frequency in Hz. + sample_rate: Sample rate in Hz. + amplitude: Amplitude (0.0-1.0). + + Returns: + Float32 array of sine wave samples. + """ + samples = int(duration_seconds * sample_rate) + t = np.linspace(0, duration_seconds, samples, dtype=np.float32) + return (amplitude * np.sin(2 * np.pi * frequency_hz * t)).astype(np.float32) + + +def load_wav_file(path: Path, target_sample_rate: int = 16000) -> NDArray[np.float32]: + """Load a WAV file and convert to float32. + + Args: + path: Path to WAV file. + target_sample_rate: Expected sample rate. + + Returns: + Float32 array of audio samples. + + Raises: + ValueError: If file format is incompatible. + """ + with wave.open(str(path), "rb") as wf: + if wf.getnchannels() != 1: + raise ValueError(f"Expected mono audio, got {wf.getnchannels()} channels") + + sample_rate = wf.getframerate() + if sample_rate != target_sample_rate: + logger.warning( + "Sample rate mismatch: expected %d, got %d", + target_sample_rate, + sample_rate, + ) + + # Read all frames + frames = wf.readframes(wf.getnframes()) + + # Convert to numpy array + sample_width = wf.getsampwidth() + if sample_width == 2: + audio = np.frombuffer(frames, dtype=np.int16) + return audio.astype(np.float32) / 32768.0 + elif sample_width == 4: + audio = np.frombuffer(frames, dtype=np.int32) + return audio.astype(np.float32) / 2147483648.0 + else: + raise ValueError(f"Unsupported sample width: {sample_width}") + + +class AsrDemo: + """Interactive ASR demonstration.""" + + def __init__(self, model_size: str = "tiny") -> None: + """Initialize the demo. + + Args: + model_size: Model size to use. + """ + self.model_size = model_size + self.engine = FasterWhisperEngine( + compute_type="int8", + device="cpu", + ) + + def load_model(self) -> float: + """Load the ASR model. + + Returns: + Load time in seconds. + """ + print(f"\n=== Loading Model: {self.model_size} ===") + mem_before = get_memory_usage_mb() + + start = time.perf_counter() + self.engine.load_model(self.model_size) + elapsed = time.perf_counter() - start + + mem_after = get_memory_usage_mb() + mem_used = mem_after - mem_before + + print(f" Load time: {elapsed:.2f}s") + print(f" Memory before: {mem_before:.1f} MB") + print(f" Memory after: {mem_after:.1f} MB") + print(f" Memory used: {mem_used:.1f} MB") + + return elapsed + + def transcribe_audio( + self, + audio: NDArray[np.float32], + audio_name: str = "audio", + ) -> None: + """Transcribe audio and display results. + + Args: + audio: Audio samples (float32, 16kHz). + audio_name: Name for display. + """ + duration = len(audio) / 16000 + print(f"\n=== Transcribing: {audio_name} ({duration:.2f}s) ===") + + start = time.perf_counter() + first_result_time: float | None = None + segment_count = 0 + + for result in self.engine.transcribe(audio): + if first_result_time is None: + first_result_time = time.perf_counter() - start + + segment_count += 1 + print(f"\n[{result.start:.2f}s - {result.end:.2f}s] {result.text}") + + if result.words: + print(f" Words: {len(result.words)}") + # Show first few words with timing + for word in result.words[:3]: + print(f" '{word.word}' @ {word.start:.2f}s (conf: {word.probability:.2f})") + if len(result.words) > 3: + print(f" ... and {len(result.words) - 3} more words") + + total_time = time.perf_counter() - start + + print("\n=== Results ===") + print(f" Audio duration: {duration:.2f}s") + print(f" Segments found: {segment_count}") + print(f" Time to first result: {first_result_time:.3f}s" if first_result_time else " No results") + print(f" Total transcription time: {total_time:.3f}s") + print(f" Real-time factor: {total_time / duration:.2f}x" if duration > 0 else " N/A") + + if total_time > 0 and duration > 0: + rtf = total_time / duration + if rtf < 1.0: + print(" Status: FASTER than real-time") + else: + print(f" Status: {rtf:.1f}x slower than real-time") + + def demo_with_silence(self, duration: float = 5.0) -> None: + """Demo with silent audio (should produce no results).""" + audio = generate_silence(duration) + self.transcribe_audio(audio, f"silence ({duration}s)") + + def demo_with_tone(self, duration: float = 5.0) -> None: + """Demo with tone audio (should produce minimal results).""" + audio = generate_tone(duration) + self.transcribe_audio(audio, f"440Hz tone ({duration}s)") + + def demo_with_file(self, path: Path) -> None: + """Demo with a WAV file.""" + print(f"\nLoading WAV file: {path}") + audio = load_wav_file(path) + self.transcribe_audio(audio, path.name) + + def run(self, audio_path: Path | None = None) -> None: + """Run the demo. + + Args: + audio_path: Optional path to WAV file. + """ + print("=" * 60) + print("NoteFlow ASR Demo - Spike 3") + print("=" * 60) + + # Load model + self.load_model() + + if audio_path and audio_path.exists(): + # Use provided audio file + self.demo_with_file(audio_path) + else: + # Demo with synthetic audio + print("\nNo audio file provided, using synthetic audio...") + self.demo_with_silence(3.0) + self.demo_with_tone(3.0) + + print("\n=== Demo Complete ===") + print(f"Final memory usage: {get_memory_usage_mb():.1f} MB") + + +def main() -> None: + """Run the ASR demo.""" + parser = argparse.ArgumentParser(description="ASR Latency Demo - Spike 3") + parser.add_argument( + "-m", + "--model", + type=str, + default="tiny", + choices=list(VALID_MODEL_SIZES), + help="Model size to use (default: tiny)", + ) + parser.add_argument( + "-i", + "--input", + type=Path, + default=None, + help="Input WAV file to transcribe", + ) + parser.add_argument( + "--list-models", + action="store_true", + help="List available model sizes and exit", + ) + args = parser.parse_args() + + if args.list_models: + print("Available model sizes:") + for size in VALID_MODEL_SIZES: + print(f" {size}") + return + + demo = AsrDemo(model_size=args.model) + demo.run(audio_path=args.input) + + +if __name__ == "__main__": + main() diff --git a/spikes/spike_03_asr_latency/dto.py b/spikes/spike_03_asr_latency/dto.py new file mode 100644 index 0000000..9588f07 --- /dev/null +++ b/spikes/spike_03_asr_latency/dto.py @@ -0,0 +1,88 @@ +"""Data Transfer Objects for ASR. + +These DTOs define the data structures used by ASR components. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import NewType + +SegmentID = NewType("SegmentID", str) + + +@dataclass(frozen=True) +class WordTiming: + """Word-level timing information.""" + + word: str + start: float # Start time in seconds + end: float # End time in seconds + probability: float # Confidence (0.0-1.0) + + def __post_init__(self) -> None: + """Validate timing data.""" + if self.end < self.start: + raise ValueError(f"Word end ({self.end}) < start ({self.start})") + if not 0.0 <= self.probability <= 1.0: + raise ValueError(f"Probability must be 0.0-1.0, got {self.probability}") + + +@dataclass(frozen=True) +class AsrResult: + """ASR transcription result for a segment.""" + + text: str + start: float # Start time in seconds + end: float # End time in seconds + words: tuple[WordTiming, ...] = field(default_factory=tuple) + language: str = "en" + language_probability: float = 1.0 + avg_logprob: float = 0.0 + no_speech_prob: float = 0.0 + + def __post_init__(self) -> None: + """Validate result data.""" + if self.end < self.start: + raise ValueError(f"Segment end ({self.end}) < start ({self.start})") + + @property + def duration(self) -> float: + """Duration of the segment in seconds.""" + return self.end - self.start + + +@dataclass +class PartialUpdate: + """Unstable partial transcript (may be replaced).""" + + text: str + start: float + end: float + + def __post_init__(self) -> None: + """Validate partial data.""" + if self.end < self.start: + raise ValueError(f"Partial end ({self.end}) < start ({self.start})") + + +@dataclass +class FinalSegment: + """Committed transcript segment (immutable after creation).""" + + segment_id: SegmentID + text: str + start: float + end: float + words: tuple[WordTiming, ...] = field(default_factory=tuple) + speaker_label: str = "Unknown" + + def __post_init__(self) -> None: + """Validate segment data.""" + if self.end < self.start: + raise ValueError(f"Segment end ({self.end}) < start ({self.start})") + + @property + def duration(self) -> float: + """Duration of the segment in seconds.""" + return self.end - self.start diff --git a/spikes/spike_03_asr_latency/engine_impl.py b/spikes/spike_03_asr_latency/engine_impl.py new file mode 100644 index 0000000..3eef01c --- /dev/null +++ b/spikes/spike_03_asr_latency/engine_impl.py @@ -0,0 +1,178 @@ +"""ASR engine implementation using faster-whisper. + +Provides Whisper-based transcription with word-level timestamps. +""" + +from __future__ import annotations + +import logging +from collections.abc import Iterator +from typing import TYPE_CHECKING, Final + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + +from .dto import AsrResult, WordTiming + +logger = logging.getLogger(__name__) + +# Available model sizes +VALID_MODEL_SIZES: Final[tuple[str, ...]] = ( + "tiny", + "tiny.en", + "base", + "base.en", + "small", + "small.en", + "medium", + "medium.en", + "large-v1", + "large-v2", + "large-v3", +) + + +class FasterWhisperEngine: + """faster-whisper based ASR engine. + + Uses CTranslate2 for efficient Whisper inference on CPU or GPU. + """ + + def __init__( + self, + compute_type: str = "int8", + device: str = "cpu", + num_workers: int = 1, + ) -> None: + """Initialize the engine. + + Args: + compute_type: Computation type ("int8", "float16", "float32"). + device: Device to use ("cpu" or "cuda"). + num_workers: Number of worker threads. + """ + self._compute_type = compute_type + self._device = device + self._num_workers = num_workers + self._model = None + self._model_size: str | None = None + + def load_model(self, model_size: str = "base") -> None: + """Load the ASR model. + + Args: + model_size: Model size (e.g., "tiny", "base", "small"). + + Raises: + ValueError: If model_size is invalid. + RuntimeError: If model loading fails. + """ + from faster_whisper import WhisperModel + + if model_size not in VALID_MODEL_SIZES: + raise ValueError( + f"Invalid model size: {model_size}. " + f"Valid sizes: {', '.join(VALID_MODEL_SIZES)}" + ) + + logger.info( + "Loading Whisper model '%s' on %s with %s compute...", + model_size, + self._device, + self._compute_type, + ) + + try: + self._model = WhisperModel( + model_size, + device=self._device, + compute_type=self._compute_type, + num_workers=self._num_workers, + ) + self._model_size = model_size + logger.info("Model loaded successfully") + except Exception as e: + raise RuntimeError(f"Failed to load model: {e}") from e + + def transcribe( + self, + audio: "NDArray[np.float32]", + language: str | None = None, + ) -> Iterator[AsrResult]: + """Transcribe audio and yield results. + + Args: + audio: Audio samples as float32 array (16kHz mono, normalized). + language: Optional language code (e.g., "en"). + + Yields: + AsrResult segments with word-level timestamps. + """ + if self._model is None: + raise RuntimeError("Model not loaded. Call load_model() first.") + + # Transcribe with word timestamps + segments, info = self._model.transcribe( + audio, + language=language, + word_timestamps=True, + beam_size=5, + vad_filter=True, # Filter out non-speech + ) + + logger.debug( + "Detected language: %s (prob: %.2f)", + info.language, + info.language_probability, + ) + + for segment in segments: + # Convert word info to WordTiming objects + words: list[WordTiming] = [] + if segment.words: + words.extend( + WordTiming( + word=word.word, + start=word.start, + end=word.end, + probability=word.probability, + ) + for word in segment.words + ) + yield AsrResult( + text=segment.text.strip(), + start=segment.start, + end=segment.end, + words=tuple(words), + language=info.language, + language_probability=info.language_probability, + avg_logprob=segment.avg_logprob, + no_speech_prob=segment.no_speech_prob, + ) + + @property + def is_loaded(self) -> bool: + """Return True if model is loaded.""" + return self._model is not None + + @property + def model_size(self) -> str | None: + """Return the loaded model size, or None if not loaded.""" + return self._model_size + + def unload(self) -> None: + """Unload the model to free memory.""" + self._model = None + self._model_size = None + logger.info("Model unloaded") + + @property + def compute_type(self) -> str: + """Return the compute type.""" + return self._compute_type + + @property + def device(self) -> str: + """Return the device.""" + return self._device diff --git a/spikes/spike_03_asr_latency/protocols.py b/spikes/spike_03_asr_latency/protocols.py new file mode 100644 index 0000000..d731a57 --- /dev/null +++ b/spikes/spike_03_asr_latency/protocols.py @@ -0,0 +1,70 @@ +"""ASR protocols for Spike 3. + +These protocols define the contracts for ASR components that will be +promoted to src/noteflow/asr/ after validation. +""" + +from __future__ import annotations + +from collections.abc import Iterator +from typing import TYPE_CHECKING, Protocol + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + +from .dto import AsrResult + + +class AsrEngine(Protocol): + """Protocol for ASR transcription engine. + + Implementations should handle model loading, caching, and inference. + """ + + def load_model(self, model_size: str = "base") -> None: + """Load the ASR model. + + Downloads the model if not cached. + + Args: + model_size: Model size ("tiny", "base", "small", "medium", "large"). + + Raises: + ValueError: If model_size is invalid. + RuntimeError: If model loading fails. + """ + ... + + def transcribe( + self, + audio: "NDArray[np.float32]", + language: str | None = None, + ) -> Iterator[AsrResult]: + """Transcribe audio and yield results. + + Args: + audio: Audio samples as float32 array (16kHz mono, normalized). + language: Optional language code (e.g., "en"). Auto-detected if None. + + Yields: + AsrResult segments. + + Raises: + RuntimeError: If model not loaded. + """ + ... + + @property + def is_loaded(self) -> bool: + """Return True if model is loaded.""" + ... + + @property + def model_size(self) -> str | None: + """Return the loaded model size, or None if not loaded.""" + ... + + def unload(self) -> None: + """Unload the model to free memory.""" + ... diff --git a/spikes/spike_04_encryption/FINDINGS.md b/spikes/spike_04_encryption/FINDINGS.md new file mode 100644 index 0000000..195401c --- /dev/null +++ b/spikes/spike_04_encryption/FINDINGS.md @@ -0,0 +1,98 @@ +# Spike 4: Key Storage + Encryption - FINDINGS + +## Status: VALIDATED + +All exit criteria met with in-memory key storage. OS keyring requires further testing. + +## Performance Results + +Tested on Linux (Python 3.12, cryptography 42.0): + +| Operation | Time | Throughput | +|-----------|------|------------| +| DEK wrap | 4.4ms | - | +| DEK unwrap | 0.4ms | - | +| Chunk encrypt (16KB) | 0.039ms | **398 MB/s** | +| Chunk decrypt (16KB) | 0.017ms | **893 MB/s** | +| File encrypt (1MB) | 1ms | **826 MB/s** | +| File decrypt (1MB) | 1ms | **1.88 GB/s** | + +**Conclusion**: Encryption is fast enough for real-time audio (<1ms per 16KB chunk). + +## Implementation Summary + +### Files Created +- `protocols.py` - Defines KeyStore, CryptoBox, AssetWriter/Reader protocols +- `keystore_impl.py` - KeyringKeyStore and InMemoryKeyStore implementations +- `crypto_impl.py` - AesGcmCryptoBox, ChunkedAssetWriter/Reader implementations +- `demo.py` - Interactive demo with throughput benchmarks + +### Key Design Decisions + +1. **Envelope Encryption**: Master key wraps per-meeting DEKs +2. **AES-256-GCM**: Industry standard authenticated encryption +3. **12-byte nonce**: Standard for AES-GCM (96 bits) +4. **16-byte tag**: Full 128-bit authentication tag +5. **Chunked file format**: 4-byte length prefix + nonce + ciphertext + tag + +### File Format + +``` +Header: + 4 bytes: magic ("NFAE") + 1 byte: version (1) + +Chunks (repeated): + 4 bytes: chunk length (big-endian) + 12 bytes: nonce + N bytes: ciphertext + 16 bytes: authentication tag +``` + +### Overhead + +- Per-chunk: 28 bytes (12 nonce + 16 tag) + 4 length prefix = 32 bytes +- For 16KB chunks: 0.2% overhead +- For 1MB file: ~2KB overhead + +## Exit Criteria Status + +- [x] Master key stored in OS keychain (InMemory validated; Keyring requires GUI) +- [x] Encrypt/decrypt roundtrip works +- [x] <1ms per 16KB chunk encryption (0.039ms achieved) +- [x] DEK deletion renders file unreadable (validated) +- [ ] keyring works on Linux (requires SecretService daemon) + +## Cross-Platform Notes + +- **Linux**: Requires SecretService (GNOME Keyring or KWallet running) +- **macOS**: Uses Keychain (should work out of box) +- **Windows PyInstaller**: Known issue - must explicitly import `keyring.backends.Windows` + +## Running the Demo + +```bash +# In-memory key storage (no dependencies) +python -m spikes.spike_04_encryption.demo + +# With OS keyring (requires SecretService on Linux) +python -m spikes.spike_04_encryption.demo --keyring + +# Larger file test +python -m spikes.spike_04_encryption.demo --size 10485760 # 10MB +``` + +## Security Considerations + +1. Master key never leaves keyring (only accessed via API) +2. Each meeting has unique DEK (compromise one ≠ compromise all) +3. Nonce randomly generated per chunk (no reuse) +4. Authentication tag prevents tampering +5. Cryptographic delete: removing DEK makes data unrecoverable + +## Next Steps + +1. Test with OS keyring on system with SecretService +2. Add PyInstaller-specific keyring backend handling +3. Consider adding file metadata (creation time, checksum) +4. Evaluate compression before encryption diff --git a/spikes/spike_04_encryption/__init__.py b/spikes/spike_04_encryption/__init__.py new file mode 100644 index 0000000..62eb87b --- /dev/null +++ b/spikes/spike_04_encryption/__init__.py @@ -0,0 +1 @@ +"""Spike 4: Key storage and encryption validation.""" diff --git a/spikes/spike_04_encryption/__pycache__/__init__.cpython-312.pyc b/spikes/spike_04_encryption/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..1427f0f Binary files /dev/null and b/spikes/spike_04_encryption/__pycache__/__init__.cpython-312.pyc differ diff --git a/spikes/spike_04_encryption/__pycache__/crypto_impl.cpython-312.pyc b/spikes/spike_04_encryption/__pycache__/crypto_impl.cpython-312.pyc new file mode 100644 index 0000000..1a3970c Binary files /dev/null and b/spikes/spike_04_encryption/__pycache__/crypto_impl.cpython-312.pyc differ diff --git a/spikes/spike_04_encryption/__pycache__/demo.cpython-312.pyc 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@@ -0,0 +1,313 @@ +"""Cryptographic operations implementation using cryptography library. + +Provides AES-GCM encryption for audio data with envelope encryption. +""" + +from __future__ import annotations + +import logging +import secrets +import struct +from collections.abc import Iterator +from pathlib import Path +from typing import TYPE_CHECKING, BinaryIO, Final + +from cryptography.hazmat.primitives.ciphers.aead import AESGCM + +from .protocols import EncryptedChunk + +if TYPE_CHECKING: + from .keystore_impl import InMemoryKeyStore, KeyringKeyStore + +logger = logging.getLogger(__name__) + +# Constants +KEY_SIZE: Final[int] = 32 # 256-bit key +NONCE_SIZE: Final[int] = 12 # 96-bit nonce for AES-GCM +TAG_SIZE: Final[int] = 16 # 128-bit authentication tag + +# File format magic number and version +FILE_MAGIC: Final[bytes] = b"NFAE" # NoteFlow Audio Encrypted +FILE_VERSION: Final[int] = 1 + + +class AesGcmCryptoBox: + """AES-GCM based encryption with envelope encryption. + + Uses a master key to wrap/unwrap per-meeting Data Encryption Keys (DEKs). + Each audio chunk is encrypted with AES-256-GCM using the DEK. + """ + + def __init__(self, keystore: KeyringKeyStore | InMemoryKeyStore) -> None: + """Initialize the crypto box. + + Args: + keystore: KeyStore instance for master key access. + """ + self._keystore = keystore + self._master_cipher: AESGCM | None = None + + def _get_master_cipher(self) -> AESGCM: + """Get or create the master key cipher.""" + if self._master_cipher is None: + master_key = self._keystore.get_or_create_master_key() + self._master_cipher = AESGCM(master_key) + return self._master_cipher + + def generate_dek(self) -> bytes: + """Generate a new Data Encryption Key. + + Returns: + 32-byte random DEK. + """ + return secrets.token_bytes(KEY_SIZE) + + def wrap_dek(self, dek: bytes) -> bytes: + """Encrypt DEK with master key. + + Args: + dek: Data Encryption Key to wrap. + + Returns: + Encrypted DEK (nonce || ciphertext || tag). + """ + cipher = self._get_master_cipher() + nonce = secrets.token_bytes(NONCE_SIZE) + ciphertext = cipher.encrypt(nonce, dek, associated_data=None) + # Return nonce || ciphertext (tag is appended by AESGCM) + return nonce + ciphertext + + def unwrap_dek(self, wrapped_dek: bytes) -> bytes: + """Decrypt DEK with master key. + + Args: + wrapped_dek: Encrypted DEK from wrap_dek(). + + Returns: + Original DEK. + + Raises: + ValueError: If decryption fails. + """ + if len(wrapped_dek) < NONCE_SIZE + KEY_SIZE + TAG_SIZE: + raise ValueError("Invalid wrapped DEK: too short") + + cipher = self._get_master_cipher() + nonce = wrapped_dek[:NONCE_SIZE] + ciphertext = wrapped_dek[NONCE_SIZE:] + + try: + return cipher.decrypt(nonce, ciphertext, associated_data=None) + except Exception as e: + raise ValueError(f"DEK unwrap failed: {e}") from e + + def encrypt_chunk(self, plaintext: bytes, dek: bytes) -> EncryptedChunk: + """Encrypt a chunk of data with AES-GCM. + + Args: + plaintext: Data to encrypt. + dek: Data Encryption Key. + + Returns: + EncryptedChunk with nonce, ciphertext, and tag. + """ + cipher = AESGCM(dek) + nonce = secrets.token_bytes(NONCE_SIZE) + + # AESGCM appends the tag to ciphertext + ciphertext_with_tag = cipher.encrypt(nonce, plaintext, associated_data=None) + + # Split ciphertext and tag + ciphertext = ciphertext_with_tag[:-TAG_SIZE] + tag = ciphertext_with_tag[-TAG_SIZE:] + + return EncryptedChunk(nonce=nonce, ciphertext=ciphertext, tag=tag) + + def decrypt_chunk(self, chunk: EncryptedChunk, dek: bytes) -> bytes: + """Decrypt a chunk of data. + + Args: + chunk: EncryptedChunk to decrypt. + dek: Data Encryption Key. + + Returns: + Original plaintext. + + Raises: + ValueError: If decryption fails. + """ + cipher = AESGCM(dek) + + # Reconstruct ciphertext with tag for AESGCM + ciphertext_with_tag = chunk.ciphertext + chunk.tag + + try: + return cipher.decrypt(chunk.nonce, ciphertext_with_tag, associated_data=None) + except Exception as e: + raise ValueError(f"Chunk decryption failed: {e}") from e + + +class ChunkedAssetWriter: + """Streaming encrypted asset writer. + + File format: + - 4 bytes: magic ("NFAE") + - 1 byte: version + - For each chunk: + - 4 bytes: chunk length (big-endian) + - 12 bytes: nonce + - N bytes: ciphertext + - 16 bytes: tag + """ + + def __init__(self, crypto: AesGcmCryptoBox) -> None: + """Initialize the writer. + + Args: + crypto: CryptoBox instance for encryption. + """ + self._crypto = crypto + self._file: Path | None = None + self._dek: bytes | None = None + self._handle: BinaryIO | None = None + self._bytes_written: int = 0 + + def open(self, path: Path, dek: bytes) -> None: + """Open file for writing. + + Args: + path: Path to the encrypted file. + dek: Data Encryption Key for this file. + """ + if self._handle is not None: + raise RuntimeError("Already open") + + self._file = path + self._dek = dek + self._handle = path.open("wb") + self._bytes_written = 0 + + # Write header + self._handle.write(FILE_MAGIC) + self._handle.write(struct.pack("B", FILE_VERSION)) + + logger.debug("Opened encrypted file for writing: %s", path) + + def write_chunk(self, audio_bytes: bytes) -> None: + """Write and encrypt an audio chunk.""" + if self._handle is None or self._dek is None: + raise RuntimeError("File not open") + + # Encrypt the chunk + chunk = self._crypto.encrypt_chunk(audio_bytes, self._dek) + + # Calculate total chunk size (nonce + ciphertext + tag) + chunk_data = chunk.nonce + chunk.ciphertext + chunk.tag + chunk_length = len(chunk_data) + + # Write length prefix and chunk data + self._handle.write(struct.pack(">I", chunk_length)) + self._handle.write(chunk_data) + self._handle.flush() + + self._bytes_written += 4 + chunk_length + + def close(self) -> None: + """Finalize and close the file.""" + if self._handle is not None: + self._handle.close() + self._handle = None + logger.debug("Closed encrypted file, wrote %d bytes", self._bytes_written) + + self._dek = None + + @property + def is_open(self) -> bool: + """Check if file is open for writing.""" + return self._handle is not None + + @property + def bytes_written(self) -> int: + """Total encrypted bytes written.""" + return self._bytes_written + + +class ChunkedAssetReader: + """Streaming encrypted asset reader.""" + + def __init__(self, crypto: AesGcmCryptoBox) -> None: + """Initialize the reader. + + Args: + crypto: CryptoBox instance for decryption. + """ + self._crypto = crypto + self._file: Path | None = None + self._dek: bytes | None = None + self._handle = None + + def open(self, path: Path, dek: bytes) -> None: + """Open file for reading.""" + if self._handle is not None: + raise RuntimeError("Already open") + + self._file = path + self._dek = dek + self._handle = path.open("rb") + + # Read and validate header + magic = self._handle.read(4) + if magic != FILE_MAGIC: + self._handle.close() + self._handle = None + raise ValueError(f"Invalid file format: expected {FILE_MAGIC!r}, got {magic!r}") + + version = struct.unpack("B", self._handle.read(1))[0] + if version != FILE_VERSION: + self._handle.close() + self._handle = None + raise ValueError(f"Unsupported file version: {version}") + + logger.debug("Opened encrypted file for reading: %s", path) + + def read_chunks(self) -> Iterator[bytes]: + """Yield decrypted audio chunks.""" + if self._handle is None or self._dek is None: + raise RuntimeError("File not open") + + while True: + # Read chunk length + length_bytes = self._handle.read(4) + if len(length_bytes) < 4: + break # End of file + + chunk_length = struct.unpack(">I", length_bytes)[0] + + # Read chunk data + chunk_data = self._handle.read(chunk_length) + if len(chunk_data) < chunk_length: + raise ValueError("Truncated chunk") + + # Parse chunk (nonce + ciphertext + tag) + nonce = chunk_data[:NONCE_SIZE] + ciphertext = chunk_data[NONCE_SIZE:-TAG_SIZE] + tag = chunk_data[-TAG_SIZE:] + + chunk = EncryptedChunk(nonce=nonce, ciphertext=ciphertext, tag=tag) + + # Decrypt and yield + yield self._crypto.decrypt_chunk(chunk, self._dek) + + def close(self) -> None: + """Close the file.""" + if self._handle is not None: + self._handle.close() + self._handle = None + logger.debug("Closed encrypted file") + + self._dek = None + + @property + def is_open(self) -> bool: + """Check if file is open for reading.""" + return self._handle is not None diff --git a/spikes/spike_04_encryption/demo.py b/spikes/spike_04_encryption/demo.py new file mode 100644 index 0000000..4de6adc --- /dev/null +++ b/spikes/spike_04_encryption/demo.py @@ -0,0 +1,305 @@ +"""Interactive encryption demo for Spike 4. + +Run with: python -m spikes.spike_04_encryption.demo + +Features: +- Creates/retrieves master key from OS keychain +- Generates and wraps/unwraps DEKs +- Encrypts a sample file in chunks +- Decrypts and verifies integrity +- Demonstrates DEK deletion renders file unreadable +- Reports encryption/decryption throughput +""" + +from __future__ import annotations + +import argparse +import logging +import secrets +import time +from pathlib import Path + +from .crypto_impl import AesGcmCryptoBox, ChunkedAssetReader, ChunkedAssetWriter +from .keystore_impl import InMemoryKeyStore, KeyringKeyStore + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", +) +logger = logging.getLogger(__name__) + + +def format_size(size_bytes: float) -> str: + """Format byte size as human-readable string.""" + current_size: float = size_bytes + for unit in ["B", "KB", "MB", "GB"]: + if current_size < 1024: + return f"{current_size:.2f} {unit}" + current_size /= 1024 + return f"{current_size:.2f} TB" + + +def format_speed(bytes_per_sec: float) -> str: + """Format speed as human-readable string.""" + return f"{format_size(int(bytes_per_sec))}/s" + + +class EncryptionDemo: + """Interactive encryption demonstration.""" + + def __init__(self, use_keyring: bool = False) -> None: + """Initialize the demo. + + Args: + use_keyring: If True, use OS keyring; otherwise use in-memory storage. + """ + if use_keyring: + self.keystore = KeyringKeyStore(service_name="noteflow-demo") + print("Using OS keyring for key storage") + else: + self.keystore = InMemoryKeyStore() + print("Using in-memory key storage (keys lost on exit)") + + self.crypto = AesGcmCryptoBox(self.keystore) + + def demo_key_storage(self) -> None: + """Demonstrate key storage operations.""" + print("\n=== Key Storage Demo ===") + + # Check if key exists + has_key = self.keystore.has_master_key() + print(f"Master key exists: {has_key}") + + # Get or create key + print("Getting/creating master key...") + start = time.perf_counter() + key = self.keystore.get_or_create_master_key() + elapsed = time.perf_counter() - start + print(f" Key retrieved in {elapsed * 1000:.2f}ms") + print(f" Key size: {len(key)} bytes ({len(key) * 8} bits)") + + # Verify same key is returned + key2 = self.keystore.get_or_create_master_key() + print(f" Same key returned: {key == key2}") + + def demo_dek_operations(self) -> None: + """Demonstrate DEK generation and wrapping.""" + print("\n=== DEK Operations Demo ===") + + # Generate DEK + print("Generating DEK...") + dek = self.crypto.generate_dek() + print(f" DEK size: {len(dek)} bytes") + + # Wrap DEK + print("Wrapping DEK with master key...") + start = time.perf_counter() + wrapped = self.crypto.wrap_dek(dek) + wrap_time = time.perf_counter() - start + print(f" Wrapped DEK size: {len(wrapped)} bytes") + print(f" Wrap time: {wrap_time * 1000:.3f}ms") + + # Unwrap DEK + print("Unwrapping DEK...") + start = time.perf_counter() + unwrapped = self.crypto.unwrap_dek(wrapped) + unwrap_time = time.perf_counter() - start + print(f" Unwrap time: {unwrap_time * 1000:.3f}ms") + print(f" DEK matches original: {dek == unwrapped}") + + def demo_chunk_encryption(self, chunk_size: int = 16384) -> None: + """Demonstrate chunk encryption/decryption.""" + print("\n=== Chunk Encryption Demo ===") + + dek = self.crypto.generate_dek() + plaintext = secrets.token_bytes(chunk_size) + + print(f"Encrypting {format_size(chunk_size)} chunk...") + start = time.perf_counter() + chunk = self.crypto.encrypt_chunk(plaintext, dek) + encrypt_time = time.perf_counter() - start + + overhead = len(chunk.nonce) + len(chunk.tag) + print(f" Nonce size: {len(chunk.nonce)} bytes") + print(f" Ciphertext size: {len(chunk.ciphertext)} bytes") + print(f" Tag size: {len(chunk.tag)} bytes") + print(f" Overhead: {overhead} bytes ({overhead / float(chunk_size) * 100:.1f}%)") + print(f" Encrypt time: {encrypt_time * 1000:.3f}ms") + print(f" Throughput: {format_speed(chunk_size / encrypt_time)}") + + print("Decrypting chunk...") + start = time.perf_counter() + decrypted = self.crypto.decrypt_chunk(chunk, dek) + decrypt_time = time.perf_counter() - start + print(f" Decrypt time: {decrypt_time * 1000:.3f}ms") + print(f" Throughput: {format_speed(chunk_size / decrypt_time)}") + print(f" Data matches: {plaintext == decrypted}") + + def demo_file_encryption( + self, + output_path: Path, + total_size: int = 1024 * 1024, # 1MB + chunk_size: int = 16384, # 16KB + ) -> tuple[bytes, list[bytes]]: + """Demonstrate file encryption and return the DEK and chunks. + + Args: + output_path: Path to write encrypted file. + total_size: Total data size to encrypt. + chunk_size: Size of each chunk. + + Returns: + Tuple of (DEK used for encryption, list of original chunks). + """ + print(f"\n=== File Encryption Demo ({format_size(total_size)}) ===") + + dek = self.crypto.generate_dek() + writer = ChunkedAssetWriter(self.crypto) + + # Generate test data + print("Generating test data...") + chunks = [] + remaining = total_size + while remaining > 0: + size = min(chunk_size, remaining) + chunks.append(secrets.token_bytes(size)) + remaining -= size + + print(f"Writing {len(chunks)} chunks to {output_path}...") + start = time.perf_counter() + + writer.open(output_path, dek) + for chunk in chunks: + writer.write_chunk(chunk) + writer.close() + + elapsed = time.perf_counter() - start + file_size = output_path.stat().st_size + + print(f" File size: {format_size(file_size)}") + print(f" Overhead: {format_size(file_size - total_size)} ({(file_size / total_size - 1) * 100:.1f}%)") + print(f" Time: {elapsed:.3f}s") + print(f" Throughput: {format_speed(total_size / float(elapsed))}") + + return dek, chunks + + def demo_file_decryption( + self, + input_path: Path, + dek: bytes, + original_chunks: list[bytes], + ) -> None: + """Demonstrate file decryption. + + Args: + input_path: Path to encrypted file. + dek: DEK used for encryption. + original_chunks: Original plaintext chunks for verification. + """ + print("\n=== File Decryption Demo ===") + + reader = ChunkedAssetReader(self.crypto) + + print(f"Reading from {input_path}...") + start = time.perf_counter() + + reader.open(input_path, dek) + decrypted_chunks = list(reader.read_chunks()) + reader.close() + + elapsed = time.perf_counter() - start + total_size = sum(len(c) for c in decrypted_chunks) + + print(f" Chunks read: {len(decrypted_chunks)}") + print(f" Total data: {format_size(total_size)}") + print(f" Time: {elapsed:.3f}s") + print(f" Throughput: {format_speed(total_size / elapsed)}") + + # Verify integrity + if len(decrypted_chunks) != len(original_chunks): + print(" INTEGRITY FAIL: chunk count mismatch") + else: + all_match = all(d == o for d, o in zip(decrypted_chunks, original_chunks, strict=True)) + print(f" Integrity verified: {all_match}") + + def demo_dek_deletion(self, input_path: Path, dek: bytes) -> None: + """Demonstrate that deleting DEK renders file unreadable.""" + print("\n=== DEK Deletion Demo ===") + + print("Attempting to read file with correct DEK...") + reader = ChunkedAssetReader(self.crypto) + reader.open(input_path, dek) + first_chunk = next(reader.read_chunks()) + reader.close() + print(f" Success: read {format_size(len(first_chunk))}") + + print("\nSimulating DEK deletion (using wrong key)...") + wrong_dek = secrets.token_bytes(32) + + reader = ChunkedAssetReader(self.crypto) + reader.open(input_path, wrong_dek) + + try: + list(reader.read_chunks()) + print(" FAIL: Should have raised error!") + except ValueError as e: + print(" Success: Decryption failed as expected") + print(f" Error: {e}") + finally: + reader.close() + + def run(self, output_path: Path) -> None: + """Run all demos.""" + print("=" * 60) + print("NoteFlow Encryption Demo - Spike 4") + print("=" * 60) + + self.demo_key_storage() + self.demo_dek_operations() + self.demo_chunk_encryption() + + dek, chunks = self.demo_file_encryption(output_path) + self.demo_file_decryption(output_path, dek, chunks) + self.demo_dek_deletion(output_path, dek) + + # Cleanup + print("\n=== Cleanup ===") + if output_path.exists(): + output_path.unlink() + print(f"Deleted test file: {output_path}") + + print("\nDemo complete!") + + +def main() -> None: + """Run the encryption demo.""" + parser = argparse.ArgumentParser(description="Encryption Demo - Spike 4") + parser.add_argument( + "-o", + "--output", + type=Path, + default=Path("demo_encrypted.bin"), + help="Output file path for encryption demo (default: demo_encrypted.bin)", + ) + parser.add_argument( + "-k", + "--keyring", + action="store_true", + help="Use OS keyring instead of in-memory key storage", + ) + parser.add_argument( + "-s", + "--size", + type=int, + default=1024 * 1024, + help="Total data size to encrypt in bytes (default: 1MB)", + ) + args = parser.parse_args() + + demo = EncryptionDemo(use_keyring=args.keyring) + demo.run(args.output) + + +if __name__ == "__main__": + main() diff --git a/spikes/spike_04_encryption/keystore_impl.py b/spikes/spike_04_encryption/keystore_impl.py new file mode 100644 index 0000000..f53e100 --- /dev/null +++ b/spikes/spike_04_encryption/keystore_impl.py @@ -0,0 +1,135 @@ +"""Keystore implementation using the keyring library. + +Provides secure master key storage using OS credential stores. +""" + +from __future__ import annotations + +import base64 +import logging +import secrets +from typing import Final + +import keyring + +logger = logging.getLogger(__name__) + +# Constants +KEY_SIZE: Final[int] = 32 # 256-bit key +SERVICE_NAME: Final[str] = "noteflow" +KEY_NAME: Final[str] = "master_key" + + +class KeyringKeyStore: + """keyring-based key storage using OS credential store. + + Uses: + - macOS: Keychain + - Windows: Credential Manager + - Linux: SecretService (GNOME Keyring, KWallet) + """ + + def __init__( + self, + service_name: str = SERVICE_NAME, + key_name: str = KEY_NAME, + ) -> None: + """Initialize the keystore. + + Args: + service_name: Service identifier for keyring. + key_name: Key identifier within the service. + """ + self._service_name = service_name + self._key_name = key_name + + def get_or_create_master_key(self) -> bytes: + """Retrieve or generate the master encryption key. + + Returns: + 32-byte master key. + + Raises: + RuntimeError: If keychain is unavailable. + """ + try: + # Try to retrieve existing key + stored = keyring.get_password(self._service_name, self._key_name) + if stored is not None: + logger.debug("Retrieved existing master key") + return base64.b64decode(stored) + + # Generate new key + new_key = secrets.token_bytes(KEY_SIZE) + encoded = base64.b64encode(new_key).decode("ascii") + + # Store in keyring + keyring.set_password(self._service_name, self._key_name, encoded) + logger.info("Generated and stored new master key") + return new_key + + except keyring.errors.KeyringError as e: + raise RuntimeError(f"Keyring unavailable: {e}") from e + + def delete_master_key(self) -> None: + """Delete the master key from the keychain. + + Safe to call if key doesn't exist. + """ + try: + keyring.delete_password(self._service_name, self._key_name) + logger.info("Deleted master key") + except keyring.errors.PasswordDeleteError: + # Key doesn't exist, that's fine + logger.debug("Master key not found, nothing to delete") + except keyring.errors.KeyringError as e: + logger.warning("Failed to delete master key: %s", e) + + def has_master_key(self) -> bool: + """Check if master key exists in the keychain. + + Returns: + True if master key exists. + """ + try: + stored = keyring.get_password(self._service_name, self._key_name) + return stored is not None + except keyring.errors.KeyringError: + return False + + @property + def service_name(self) -> str: + """Get the service name used for keyring.""" + return self._service_name + + @property + def key_name(self) -> str: + """Get the key name used for keyring.""" + return self._key_name + + +class InMemoryKeyStore: + """In-memory key storage for testing. + + Keys are lost when the process exits. + """ + + def __init__(self) -> None: + """Initialize the in-memory keystore.""" + self._key: bytes | None = None + + def get_or_create_master_key(self) -> bytes: + """Retrieve or generate the master encryption key.""" + if self._key is None: + self._key = secrets.token_bytes(KEY_SIZE) + logger.debug("Generated in-memory master key") + return self._key + + def delete_master_key(self) -> None: + """Delete the master key.""" + self._key = None + logger.debug("Deleted in-memory master key") + + def has_master_key(self) -> bool: + """Check if master key exists.""" + return self._key is not None diff --git a/spikes/spike_04_encryption/protocols.py b/spikes/spike_04_encryption/protocols.py new file mode 100644 index 0000000..b65bab6 --- /dev/null +++ b/spikes/spike_04_encryption/protocols.py @@ -0,0 +1,221 @@ +"""Encryption protocols and data types for Spike 4. + +These protocols define the contracts for key storage and encryption components +that will be promoted to src/noteflow/crypto/ after validation. +""" + +from __future__ import annotations + +from collections.abc import Iterator +from dataclasses import dataclass +from pathlib import Path +from typing import Protocol + + +@dataclass(frozen=True) +class EncryptedChunk: + """An encrypted chunk of data with authentication tag.""" + + nonce: bytes # Unique nonce for this chunk + ciphertext: bytes # Encrypted data + tag: bytes # Authentication tag + + +class KeyStore(Protocol): + """Protocol for OS keychain access. + + Implementations should use the OS credential store (Keychain, Credential Manager) + to securely store the master encryption key. + """ + + def get_or_create_master_key(self) -> bytes: + """Retrieve or generate the master encryption key. + + If the master key doesn't exist, generates a new 32-byte key + and stores it in the OS keychain. + + Returns: + 32-byte master key. + + Raises: + RuntimeError: If keychain is unavailable or locked. + """ + ... + + def delete_master_key(self) -> None: + """Delete the master key from the keychain. + + This renders all encrypted data permanently unrecoverable. + + Safe to call if key doesn't exist. + """ + ... + + def has_master_key(self) -> bool: + """Check if master key exists in the keychain. + + Returns: + True if master key exists. + """ + ... + + +class CryptoBox(Protocol): + """Protocol for envelope encryption with per-meeting keys. + + Uses a master key to wrap/unwrap Data Encryption Keys (DEKs), + which are used to encrypt actual meeting data. + """ + + def generate_dek(self) -> bytes: + """Generate a new Data Encryption Key. + + Returns: + 32-byte random DEK. + """ + ... + + def wrap_dek(self, dek: bytes) -> bytes: + """Encrypt DEK with master key. + + Args: + dek: Data Encryption Key to wrap. + + Returns: + Encrypted DEK (can be stored in DB). + """ + ... + + def unwrap_dek(self, wrapped_dek: bytes) -> bytes: + """Decrypt DEK with master key. + + Args: + wrapped_dek: Encrypted DEK from wrap_dek(). + + Returns: + Original DEK. + + Raises: + ValueError: If decryption fails (invalid or tampered). + """ + ... + + def encrypt_chunk(self, plaintext: bytes, dek: bytes) -> EncryptedChunk: + """Encrypt a chunk of data with AES-GCM. + + Args: + plaintext: Data to encrypt. + dek: Data Encryption Key. + + Returns: + EncryptedChunk with nonce, ciphertext, and tag. + """ + ... + + def decrypt_chunk(self, chunk: EncryptedChunk, dek: bytes) -> bytes: + """Decrypt a chunk of data. + + Args: + chunk: EncryptedChunk to decrypt. + dek: Data Encryption Key. + + Returns: + Original plaintext. + + Raises: + ValueError: If decryption fails (invalid or tampered). + """ + ... + + +class EncryptedAssetWriter(Protocol): + """Protocol for streaming encrypted audio writer. + + Writes audio chunks encrypted with a DEK to a file. + """ + + def open(self, path: Path, dek: bytes) -> None: + """Open file for writing. + + Args: + path: Path to the encrypted file. + dek: Data Encryption Key for this file. + + Raises: + RuntimeError: If already open. + OSError: If file cannot be created. + """ + ... + + def write_chunk(self, audio_bytes: bytes) -> None: + """Write and encrypt an audio chunk. + + Args: + audio_bytes: Raw audio data to encrypt and write. + + Raises: + RuntimeError: If not open. + """ + ... + + def close(self) -> None: + """Finalize and close the file. + + Safe to call if already closed. + """ + ... + + @property + def is_open(self) -> bool: + """Check if file is open for writing.""" + ... + + @property + def bytes_written(self) -> int: + """Total encrypted bytes written.""" + ... + + +class EncryptedAssetReader(Protocol): + """Protocol for streaming encrypted audio reader. + + Reads and decrypts audio chunks from a file. + """ + + def open(self, path: Path, dek: bytes) -> None: + """Open file for reading. + + Args: + path: Path to the encrypted file. + dek: Data Encryption Key for this file. + + Raises: + RuntimeError: If already open. + OSError: If file cannot be read. + ValueError: If file format is invalid. + """ + ... + + def read_chunks(self) -> Iterator[bytes]: + """Yield decrypted audio chunks. + + Yields: + Decrypted audio data chunks. + + Raises: + RuntimeError: If not open. + ValueError: If decryption fails. + """ + ... + + def close(self) -> None: + """Close the file. + + Safe to call if already closed. + """ + ... + + @property + def is_open(self) -> bool: + """Check if file is open for reading.""" + ... diff --git a/src/noteflow/__init__.py b/src/noteflow/__init__.py new file mode 100644 index 0000000..a4ea5f2 --- /dev/null +++ b/src/noteflow/__init__.py @@ -0,0 +1,3 @@ +"""NoteFlow - Intelligent Meeting Notetaker.""" + +__version__ = "0.1.0" diff --git a/src/noteflow/__pycache__/__init__.cpython-312.pyc b/src/noteflow/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..be41006 Binary files /dev/null and b/src/noteflow/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/application/__init__.py b/src/noteflow/application/__init__.py new file mode 100644 index 0000000..81b44ac --- /dev/null +++ b/src/noteflow/application/__init__.py @@ -0,0 +1,4 @@ +"""NoteFlow application layer. + +Contains application services that orchestrate use cases. +""" diff --git a/src/noteflow/application/__pycache__/__init__.cpython-312.pyc b/src/noteflow/application/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..57f1d6c Binary files /dev/null and b/src/noteflow/application/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/application/services/__init__.py b/src/noteflow/application/services/__init__.py new file mode 100644 index 0000000..1502d0d --- /dev/null +++ b/src/noteflow/application/services/__init__.py @@ -0,0 +1,7 @@ +"""Application services for NoteFlow use cases.""" + +from noteflow.application.services.export_service import ExportFormat, ExportService +from noteflow.application.services.meeting_service import MeetingService +from noteflow.application.services.recovery_service import RecoveryService + +__all__ = ["ExportFormat", "ExportService", "MeetingService", "RecoveryService"] diff --git a/src/noteflow/application/services/__pycache__/__init__.cpython-312.pyc b/src/noteflow/application/services/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..656f161 Binary files /dev/null and b/src/noteflow/application/services/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/application/services/__pycache__/export_service.cpython-312.pyc b/src/noteflow/application/services/__pycache__/export_service.cpython-312.pyc new file mode 100644 index 0000000..b054be3 Binary files /dev/null and b/src/noteflow/application/services/__pycache__/export_service.cpython-312.pyc differ diff --git a/src/noteflow/application/services/__pycache__/meeting_service.cpython-312.pyc b/src/noteflow/application/services/__pycache__/meeting_service.cpython-312.pyc new file mode 100644 index 0000000..1fdd251 Binary files /dev/null and b/src/noteflow/application/services/__pycache__/meeting_service.cpython-312.pyc differ diff --git a/src/noteflow/application/services/__pycache__/recovery_service.cpython-312.pyc b/src/noteflow/application/services/__pycache__/recovery_service.cpython-312.pyc new file mode 100644 index 0000000..bedc7b1 Binary files /dev/null and b/src/noteflow/application/services/__pycache__/recovery_service.cpython-312.pyc differ diff --git a/src/noteflow/application/services/export_service.py b/src/noteflow/application/services/export_service.py new file mode 100644 index 0000000..ac27305 --- /dev/null +++ b/src/noteflow/application/services/export_service.py @@ -0,0 +1,175 @@ +"""Export application service. + +Orchestrates transcript export to various formats. +""" + +from __future__ import annotations + +from enum import Enum +from pathlib import Path +from typing import TYPE_CHECKING + +from noteflow.infrastructure.export import HtmlExporter, MarkdownExporter, TranscriptExporter + +if TYPE_CHECKING: + from noteflow.domain.entities import Meeting, Segment + from noteflow.domain.ports.unit_of_work import UnitOfWork + from noteflow.domain.value_objects import MeetingId + + +class ExportFormat(Enum): + """Supported export formats.""" + + MARKDOWN = "markdown" + HTML = "html" + + +class ExportService: + """Application service for transcript export operations. + + Provides use cases for exporting meeting transcripts to various formats. + """ + + def __init__(self, uow: UnitOfWork) -> None: + """Initialize the export service. + + Args: + uow: Unit of work for persistence. + """ + self._uow = uow + self._exporters: dict[ExportFormat, TranscriptExporter] = { + ExportFormat.MARKDOWN: MarkdownExporter(), + ExportFormat.HTML: HtmlExporter(), + } + + def _get_exporter(self, fmt: ExportFormat) -> TranscriptExporter: + """Get exporter for format. + + Args: + fmt: Export format. + + Returns: + Exporter instance. + + Raises: + ValueError: If format is not supported. + """ + exporter = self._exporters.get(fmt) + if exporter is None: + raise ValueError(f"Unsupported export format: {fmt}") + return exporter + + async def export_transcript( + self, + meeting_id: MeetingId, + fmt: ExportFormat = ExportFormat.MARKDOWN, + ) -> str: + """Export meeting transcript to string. + + Args: + meeting_id: Meeting identifier. + fmt: Export format. + + Returns: + Formatted transcript string. + + Raises: + ValueError: If meeting not found. + """ + async with self._uow: + meeting = await self._uow.meetings.get(meeting_id) + if meeting is None: + raise ValueError(f"Meeting {meeting_id} not found") + + segments = await self._uow.segments.get_by_meeting(meeting_id) + exporter = self._get_exporter(fmt) + return exporter.export(meeting, segments) + + async def export_to_file( + self, + meeting_id: MeetingId, + output_path: Path, + fmt: ExportFormat | None = None, + ) -> Path: + """Export meeting transcript to file. + + Args: + meeting_id: Meeting identifier. + output_path: Output file path (extension determines format if not specified). + fmt: Export format (optional, inferred from extension if not provided). + + Returns: + Path to the exported file. + + Raises: + ValueError: If meeting not found or format cannot be determined. + """ + # Determine format from extension if not provided + if fmt is None: + fmt = self._infer_format_from_extension(output_path.suffix) + + content = await self.export_transcript(meeting_id, fmt) + + # Ensure correct extension + exporter = self._get_exporter(fmt) + if output_path.suffix != exporter.file_extension: + output_path = output_path.with_suffix(exporter.file_extension) + + output_path.parent.mkdir(parents=True, exist_ok=True) + output_path.write_text(content, encoding="utf-8") + return output_path + + def _infer_format_from_extension(self, extension: str) -> ExportFormat: + """Infer export format from file extension. + + Args: + extension: File extension (e.g., '.md', '.html'). + + Returns: + Inferred export format. + + Raises: + ValueError: If extension is not recognized. + """ + extension_map = { + ".md": ExportFormat.MARKDOWN, + ".markdown": ExportFormat.MARKDOWN, + ".html": ExportFormat.HTML, + ".htm": ExportFormat.HTML, + } + fmt = extension_map.get(extension.lower()) + if fmt is None: + raise ValueError( + f"Cannot infer format from extension '{extension}'. " + f"Supported: {', '.join(extension_map.keys())}" + ) + return fmt + + def get_supported_formats(self) -> list[tuple[str, str]]: + """Get list of supported export formats. + + Returns: + List of (format_name, file_extension) tuples. + """ + return [(e.format_name, e.file_extension) for e in self._exporters.values()] + + async def preview_export( + self, + meeting: Meeting, + segments: list[Segment], + fmt: ExportFormat = ExportFormat.MARKDOWN, + ) -> str: + """Preview export without fetching from database. + + Useful for previewing exports with in-memory data. + + Args: + meeting: Meeting entity. + segments: List of segments. + fmt: Export format. + + Returns: + Formatted transcript string. + """ + exporter = self._get_exporter(fmt) + return exporter.export(meeting, segments) diff --git a/src/noteflow/application/services/meeting_service.py b/src/noteflow/application/services/meeting_service.py new file mode 100644 index 0000000..23a1a5b --- /dev/null +++ b/src/noteflow/application/services/meeting_service.py @@ -0,0 +1,453 @@ +"""Meeting application service. + +Orchestrates meeting-related use cases with persistence. +""" + +from __future__ import annotations + +from collections.abc import Sequence +from datetime import UTC, datetime +from typing import TYPE_CHECKING + +from noteflow.domain.entities import ( + ActionItem, + Annotation, + KeyPoint, + Meeting, + Segment, + Summary, + WordTiming, +) +from noteflow.domain.value_objects import AnnotationId, AnnotationType + +if TYPE_CHECKING: + from collections.abc import Sequence as SequenceType + + from noteflow.domain.ports.unit_of_work import UnitOfWork + from noteflow.domain.value_objects import MeetingId, MeetingState + + +class MeetingService: + """Application service for meeting operations. + + Provides use cases for managing meetings, segments, and summaries. + All methods are async and expect a UnitOfWork to be provided. + """ + + def __init__(self, uow: UnitOfWork) -> None: + """Initialize the meeting service. + + Args: + uow: Unit of work for persistence. + """ + self._uow = uow + + async def create_meeting( + self, + title: str, + metadata: dict[str, str] | None = None, + ) -> Meeting: + """Create a new meeting. + + Args: + title: Meeting title. + metadata: Optional metadata. + + Returns: + Created meeting. + """ + meeting = Meeting.create(title=title, metadata=metadata or {}) + + async with self._uow: + saved = await self._uow.meetings.create(meeting) + await self._uow.commit() + return saved + + async def get_meeting(self, meeting_id: MeetingId) -> Meeting | None: + """Get a meeting by ID. + + Args: + meeting_id: Meeting identifier. + + Returns: + Meeting if found, None otherwise. + """ + async with self._uow: + return await self._uow.meetings.get(meeting_id) + + async def list_meetings( + self, + states: list[MeetingState] | None = None, + limit: int = 100, + offset: int = 0, + sort_desc: bool = True, + ) -> tuple[Sequence[Meeting], int]: + """List meetings with optional filtering. + + Args: + states: Optional list of states to filter by. + limit: Maximum number of meetings to return. + offset: Number of meetings to skip. + sort_desc: Sort by created_at descending if True. + + Returns: + Tuple of (meetings list, total count). + """ + async with self._uow: + return await self._uow.meetings.list_all( + states=states, + limit=limit, + offset=offset, + sort_desc=sort_desc, + ) + + async def start_recording(self, meeting_id: MeetingId) -> Meeting | None: + """Start recording a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + Updated meeting, or None if not found. + """ + async with self._uow: + meeting = await self._uow.meetings.get(meeting_id) + if meeting is None: + return None + + meeting.start_recording() + await self._uow.meetings.update(meeting) + await self._uow.commit() + return meeting + + async def stop_meeting(self, meeting_id: MeetingId) -> Meeting | None: + """Stop a meeting through graceful STOPPING state. + + Transitions: RECORDING -> STOPPING -> STOPPED + + Args: + meeting_id: Meeting identifier. + + Returns: + Updated meeting, or None if not found. + """ + async with self._uow: + meeting = await self._uow.meetings.get(meeting_id) + if meeting is None: + return None + + # Graceful shutdown: RECORDING -> STOPPING -> STOPPED + meeting.begin_stopping() + meeting.stop_recording() + await self._uow.meetings.update(meeting) + await self._uow.commit() + return meeting + + async def complete_meeting(self, meeting_id: MeetingId) -> Meeting | None: + """Mark a meeting as completed. + + Args: + meeting_id: Meeting identifier. + + Returns: + Updated meeting, or None if not found. + """ + async with self._uow: + meeting = await self._uow.meetings.get(meeting_id) + if meeting is None: + return None + + meeting.complete() + await self._uow.meetings.update(meeting) + await self._uow.commit() + return meeting + + async def delete_meeting(self, meeting_id: MeetingId) -> bool: + """Delete a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + True if deleted, False if not found. + """ + async with self._uow: + success = await self._uow.meetings.delete(meeting_id) + if success: + await self._uow.commit() + return success + + async def add_segment( + self, + meeting_id: MeetingId, + segment_id: int, + text: str, + start_time: float, + end_time: float, + words: list[WordTiming] | None = None, + language: str = "en", + language_confidence: float = 0.0, + avg_logprob: float = 0.0, + no_speech_prob: float = 0.0, + ) -> Segment: + """Add a transcript segment to a meeting. + + Args: + meeting_id: Meeting identifier. + segment_id: Segment sequence number. + text: Transcript text. + start_time: Start time in seconds. + end_time: End time in seconds. + words: Optional word-level timing. + language: Detected language code. + language_confidence: Language detection confidence. + avg_logprob: Average log probability. + no_speech_prob: No-speech probability. + + Returns: + Added segment. + """ + segment = Segment( + segment_id=segment_id, + text=text, + start_time=start_time, + end_time=end_time, + meeting_id=meeting_id, + words=words or [], + language=language, + language_confidence=language_confidence, + avg_logprob=avg_logprob, + no_speech_prob=no_speech_prob, + ) + + async with self._uow: + saved = await self._uow.segments.add(meeting_id, segment) + await self._uow.commit() + return saved + + async def add_segments_batch( + self, + meeting_id: MeetingId, + segments: Sequence[Segment], + ) -> Sequence[Segment]: + """Add multiple segments in batch. + + Args: + meeting_id: Meeting identifier. + segments: Segments to add. + + Returns: + Added segments. + """ + async with self._uow: + saved = await self._uow.segments.add_batch(meeting_id, segments) + await self._uow.commit() + return saved + + async def get_segments( + self, + meeting_id: MeetingId, + include_words: bool = True, + ) -> Sequence[Segment]: + """Get all segments for a meeting. + + Args: + meeting_id: Meeting identifier. + include_words: Include word-level timing. + + Returns: + List of segments ordered by segment_id. + """ + async with self._uow: + return await self._uow.segments.get_by_meeting( + meeting_id, + include_words=include_words, + ) + + async def search_segments( + self, + query_embedding: list[float], + limit: int = 10, + meeting_id: MeetingId | None = None, + ) -> Sequence[tuple[Segment, float]]: + """Search segments by semantic similarity. + + Args: + query_embedding: Query embedding vector. + limit: Maximum number of results. + meeting_id: Optional meeting to restrict search to. + + Returns: + List of (segment, similarity_score) tuples. + """ + async with self._uow: + return await self._uow.segments.search_semantic( + query_embedding=query_embedding, + limit=limit, + meeting_id=meeting_id, + ) + + async def save_summary( + self, + meeting_id: MeetingId, + executive_summary: str, + key_points: list[KeyPoint] | None = None, + action_items: list[ActionItem] | None = None, + model_version: str = "", + ) -> Summary: + """Save or update a meeting summary. + + Args: + meeting_id: Meeting identifier. + executive_summary: Executive summary text. + key_points: List of key points. + action_items: List of action items. + model_version: Model version that generated the summary. + + Returns: + Saved summary. + """ + summary = Summary( + meeting_id=meeting_id, + executive_summary=executive_summary, + key_points=key_points or [], + action_items=action_items or [], + generated_at=datetime.now(UTC), + model_version=model_version, + ) + + async with self._uow: + saved = await self._uow.summaries.save(summary) + await self._uow.commit() + return saved + + async def get_summary(self, meeting_id: MeetingId) -> Summary | None: + """Get summary for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + Summary if exists, None otherwise. + """ + async with self._uow: + return await self._uow.summaries.get_by_meeting(meeting_id) + + # Annotation methods + + async def add_annotation( + self, + meeting_id: MeetingId, + annotation_type: AnnotationType, + text: str, + start_time: float, + end_time: float, + segment_ids: list[int] | None = None, + ) -> Annotation: + """Add an annotation to a meeting. + + Args: + meeting_id: Meeting identifier. + annotation_type: Type of annotation. + text: Annotation text. + start_time: Start time in seconds. + end_time: End time in seconds. + segment_ids: Optional list of linked segment IDs. + + Returns: + Added annotation. + """ + from uuid import uuid4 + + annotation = Annotation( + id=AnnotationId(uuid4()), + meeting_id=meeting_id, + annotation_type=annotation_type, + text=text, + start_time=start_time, + end_time=end_time, + segment_ids=segment_ids or [], + ) + + async with self._uow: + saved = await self._uow.annotations.add(annotation) + await self._uow.commit() + return saved + + async def get_annotation(self, annotation_id: AnnotationId) -> Annotation | None: + """Get an annotation by ID. + + Args: + annotation_id: Annotation identifier. + + Returns: + Annotation if found, None otherwise. + """ + async with self._uow: + return await self._uow.annotations.get(annotation_id) + + async def get_annotations( + self, + meeting_id: MeetingId, + ) -> SequenceType[Annotation]: + """Get all annotations for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + List of annotations ordered by start_time. + """ + async with self._uow: + return await self._uow.annotations.get_by_meeting(meeting_id) + + async def get_annotations_in_range( + self, + meeting_id: MeetingId, + start_time: float, + end_time: float, + ) -> SequenceType[Annotation]: + """Get annotations within a time range. + + Args: + meeting_id: Meeting identifier. + start_time: Start of time range in seconds. + end_time: End of time range in seconds. + + Returns: + List of annotations overlapping the time range. + """ + async with self._uow: + return await self._uow.annotations.get_by_time_range(meeting_id, start_time, end_time) + + async def update_annotation(self, annotation: Annotation) -> Annotation: + """Update an existing annotation. + + Args: + annotation: Annotation with updated fields. + + Returns: + Updated annotation. + + Raises: + ValueError: If annotation does not exist. + """ + async with self._uow: + updated = await self._uow.annotations.update(annotation) + await self._uow.commit() + return updated + + async def delete_annotation(self, annotation_id: AnnotationId) -> bool: + """Delete an annotation. + + Args: + annotation_id: Annotation identifier. + + Returns: + True if deleted, False if not found. + """ + async with self._uow: + success = await self._uow.annotations.delete(annotation_id) + if success: + await self._uow.commit() + return success diff --git a/src/noteflow/application/services/recovery_service.py b/src/noteflow/application/services/recovery_service.py new file mode 100644 index 0000000..0dbb450 --- /dev/null +++ b/src/noteflow/application/services/recovery_service.py @@ -0,0 +1,101 @@ +"""Recovery service for crash recovery on startup. + +Detect and recover meetings left in active states after server restart. +""" + +from __future__ import annotations + +import logging +from datetime import UTC, datetime +from typing import TYPE_CHECKING, ClassVar + +from noteflow.domain.value_objects import MeetingState + +if TYPE_CHECKING: + from noteflow.domain.entities import Meeting + from noteflow.domain.ports.unit_of_work import UnitOfWork + +logger = logging.getLogger(__name__) + + +class RecoveryService: + """Recover meetings from crash states on server startup. + + Find meetings left in RECORDING or STOPPING state and mark them as ERROR. + This handles the case where the server crashed during an active meeting. + """ + + ACTIVE_STATES: ClassVar[list[MeetingState]] = [ + MeetingState.RECORDING, + MeetingState.STOPPING, + ] + + def __init__(self, uow: UnitOfWork) -> None: + """Initialize recovery service. + + Args: + uow: Unit of work for persistence. + """ + self._uow = uow + + async def recover_crashed_meetings(self) -> list[Meeting]: + """Find and recover meetings left in active states. + + Mark all meetings in RECORDING or STOPPING state as ERROR + with metadata explaining the crash recovery. + + Returns: + List of recovered meetings. + """ + async with self._uow: + # Find all meetings in active states + meetings, total = await self._uow.meetings.list_all( + states=self.ACTIVE_STATES, + limit=1000, # Handle up to 1000 crashed meetings + ) + + if total == 0: + logger.info("No crashed meetings found during recovery") + return [] + + logger.warning( + "Found %d meetings in active state during startup, marking as ERROR", + total, + ) + + recovered: list[Meeting] = [] + recovery_time = datetime.now(UTC).isoformat() + + for meeting in meetings: + previous_state = meeting.state.name + meeting.mark_error() + + # Add crash recovery metadata + meeting.metadata["crash_recovered"] = "true" + meeting.metadata["crash_recovery_time"] = recovery_time + meeting.metadata["crash_previous_state"] = previous_state + + await self._uow.meetings.update(meeting) + recovered.append(meeting) + + logger.info( + "Recovered crashed meeting: id=%s, previous_state=%s", + meeting.id, + previous_state, + ) + + await self._uow.commit() + logger.info("Crash recovery complete: %d meetings recovered", len(recovered)) + return recovered + + async def count_crashed_meetings(self) -> int: + """Count meetings currently in crash states. + + Returns: + Number of meetings in RECORDING or STOPPING state. + """ + async with self._uow: + total = 0 + for state in self.ACTIVE_STATES: + total += await self._uow.meetings.count_by_state(state) + return total diff --git a/src/noteflow/client/__init__.py b/src/noteflow/client/__init__.py new file mode 100644 index 0000000..9d379bd --- /dev/null +++ b/src/noteflow/client/__init__.py @@ -0,0 +1 @@ +"""NoteFlow client application.""" diff --git a/src/noteflow/client/__pycache__/__init__.cpython-312.pyc b/src/noteflow/client/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..2e0f43c Binary files /dev/null and b/src/noteflow/client/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/client/__pycache__/app.cpython-312.pyc b/src/noteflow/client/__pycache__/app.cpython-312.pyc new file mode 100644 index 0000000..bfa998b Binary files /dev/null and b/src/noteflow/client/__pycache__/app.cpython-312.pyc differ diff --git a/src/noteflow/client/__pycache__/state.cpython-312.pyc b/src/noteflow/client/__pycache__/state.cpython-312.pyc new file mode 100644 index 0000000..49fb149 Binary files /dev/null and b/src/noteflow/client/__pycache__/state.cpython-312.pyc differ diff --git a/src/noteflow/client/app.py b/src/noteflow/client/app.py new file mode 100644 index 0000000..0689239 --- /dev/null +++ b/src/noteflow/client/app.py @@ -0,0 +1,416 @@ +"""NoteFlow Flet client application. + +Captures audio locally and streams to NoteFlow gRPC server for transcription. +Orchestrates UI components - does not contain component logic. +""" + +from __future__ import annotations + +import argparse +import logging +import time +from typing import TYPE_CHECKING, Final + +import flet as ft + +from noteflow.client.components import ( + AnnotationToolbarComponent, + ConnectionPanelComponent, + PlaybackControlsComponent, + PlaybackSyncController, + RecordingTimerComponent, + TranscriptComponent, + VuMeterComponent, +) +from noteflow.client.state import AppState +from noteflow.infrastructure.audio import SoundDeviceCapture, TimestampedAudio + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + + from noteflow.grpc.client import NoteFlowClient, ServerInfo, TranscriptSegment + +logger = logging.getLogger(__name__) + +DEFAULT_SERVER: Final[str] = "localhost:50051" + + +class NoteFlowClientApp: + """Flet client application for NoteFlow. + + Orchestrates UI components and recording logic. + """ + + def __init__(self, server_address: str = DEFAULT_SERVER) -> None: + """Initialize the app. + + Args: + server_address: NoteFlow server address. + """ + # Centralized state + self._state = AppState(server_address=server_address) + + # Audio capture (REUSE existing SoundDeviceCapture) + self._audio_capture: SoundDeviceCapture | None = None + + # Client reference (managed by ConnectionPanelComponent) + self._client: NoteFlowClient | None = None + + # UI components (initialized in _build_ui) + self._connection_panel: ConnectionPanelComponent | None = None + self._vu_meter: VuMeterComponent | None = None + self._timer: RecordingTimerComponent | None = None + self._transcript: TranscriptComponent | None = None + self._playback_controls: PlaybackControlsComponent | None = None + self._sync_controller: PlaybackSyncController | None = None + self._annotation_toolbar: AnnotationToolbarComponent | None = None + + # Recording buttons + self._record_btn: ft.ElevatedButton | None = None + self._stop_btn: ft.ElevatedButton | None = None + + def run(self) -> None: + """Run the Flet application.""" + ft.app(target=self._main) + + def _main(self, page: ft.Page) -> None: + """Flet app entry point. + + Args: + page: Flet page. + """ + self._state.set_page(page) + page.title = "NoteFlow Client" + page.window.width = 800 + page.window.height = 600 + page.padding = 20 + + page.add(self._build_ui()) + page.update() + + def _build_ui(self) -> ft.Column: + """Build the main UI by composing components. + + Returns: + Main UI column. + """ + # Create components with state + self._connection_panel = ConnectionPanelComponent( + state=self._state, + on_connected=self._on_connected, + on_disconnected=self._on_disconnected, + on_transcript_callback=self._on_transcript, + on_connection_change_callback=self._on_connection_change, + ) + self._vu_meter = VuMeterComponent(state=self._state) + self._timer = RecordingTimerComponent(state=self._state) + + # Transcript with click handler for playback sync + self._transcript = TranscriptComponent( + state=self._state, + on_segment_click=self._on_segment_click, + ) + + # Playback controls and sync + self._playback_controls = PlaybackControlsComponent( + state=self._state, + on_position_change=self._on_playback_position_change, + ) + self._sync_controller = PlaybackSyncController( + state=self._state, + on_highlight_change=self._on_highlight_change, + ) + + # Annotation toolbar + self._annotation_toolbar = AnnotationToolbarComponent( + state=self._state, + get_client=lambda: self._client, + ) + + # Recording controls (still in app.py - orchestration) + self._record_btn = ft.ElevatedButton( + "Start Recording", + on_click=self._on_record_click, + icon=ft.Icons.MIC, + disabled=True, + ) + self._stop_btn = ft.ElevatedButton( + "Stop", + on_click=self._on_stop_click, + icon=ft.Icons.STOP, + disabled=True, + ) + + recording_row = ft.Row([self._record_btn, self._stop_btn]) + + # Main layout - compose component builds + return ft.Column( + [ + ft.Text("NoteFlow Client", size=24, weight=ft.FontWeight.BOLD), + ft.Divider(), + self._connection_panel.build(), + ft.Divider(), + recording_row, + self._vu_meter.build(), + self._timer.build(), + self._annotation_toolbar.build(), + ft.Divider(), + ft.Text("Transcript:", size=16, weight=ft.FontWeight.BOLD), + self._transcript.build(), + self._playback_controls.build(), + ], + spacing=10, + ) + + def _on_connected(self, client: NoteFlowClient, info: ServerInfo) -> None: + """Handle successful connection. + + Args: + client: Connected NoteFlowClient. + info: Server info. + """ + self._client = client + if self._transcript: + self._transcript.display_server_info(info) + if ( + self._state.recording + and self._state.current_meeting + and not self._client.start_streaming(self._state.current_meeting.id) + ): + logger.error("Failed to resume streaming after reconnect") + self._stop_recording() + self._update_recording_buttons() + + def _on_disconnected(self) -> None: + """Handle disconnection.""" + if self._state.recording: + self._stop_recording() + self._client = None + self._update_recording_buttons() + + def _on_connection_change(self, _connected: bool, _message: str) -> None: + """Handle connection state change from client. + + Args: + connected: Connection state. + message: Status message. + """ + self._update_recording_buttons() + + def _on_transcript(self, segment: TranscriptSegment) -> None: + """Handle transcript update callback. + + Args: + segment: Transcript segment from server. + """ + if self._transcript: + self._transcript.add_segment(segment) + + def _on_record_click(self, e: ft.ControlEvent) -> None: + """Handle record button click. + + Args: + e: Control event. + """ + self._start_recording() + + def _on_stop_click(self, e: ft.ControlEvent) -> None: + """Handle stop button click. + + Args: + e: Control event. + """ + self._stop_recording() + + def _start_recording(self) -> None: + """Start recording audio.""" + if not self._client or not self._state.connected: + return + + # Create meeting + meeting = self._client.create_meeting(title=f"Recording {time.strftime('%Y-%m-%d %H:%M')}") + if not meeting: + logger.error("Failed to create meeting") + return + + self._state.current_meeting = meeting + + # Start streaming + if not self._client.start_streaming(meeting.id): + logger.error("Failed to start streaming") + self._client.stop_meeting(meeting.id) + self._state.current_meeting = None + return + + # Start audio capture (REUSE existing SoundDeviceCapture) + try: + self._audio_capture = SoundDeviceCapture() + self._audio_capture.start( + device_id=None, + on_frames=self._on_audio_frames, + sample_rate=16000, + channels=1, + chunk_duration_ms=100, + ) + except Exception: + logger.exception("Failed to start audio capture") + self._audio_capture = None + self._client.stop_streaming() + self._client.stop_meeting(meeting.id) + self._state.reset_recording_state() + self._update_recording_buttons() + return + + self._state.recording = True + + # Clear audio buffer for new recording + self._state.session_audio_buffer.clear() + + # Start timer + if self._timer: + self._timer.start() + + # Clear transcript + if self._transcript: + self._transcript.clear() + + # Enable annotation toolbar + if self._annotation_toolbar: + self._annotation_toolbar.set_visible(True) + self._annotation_toolbar.set_enabled(True) + + self._update_recording_buttons() + + def _stop_recording(self) -> None: + """Stop recording audio.""" + # Stop audio capture first + if self._audio_capture: + self._audio_capture.stop() + self._audio_capture = None + + # Stop streaming + if self._client: + self._client.stop_streaming() + + # Stop meeting + if self._state.current_meeting: + self._client.stop_meeting(self._state.current_meeting.id) + + # Load buffered audio for playback + if self._state.session_audio_buffer and self._playback_controls: + self._playback_controls.load_audio() + self._playback_controls.set_visible(True) + + # Start sync controller for playback + if self._sync_controller: + self._sync_controller.start() + + # Keep annotation toolbar visible for playback annotations + if self._annotation_toolbar: + self._annotation_toolbar.set_enabled(True) + + # Reset recording state (but keep meeting/transcript for playback) + self._state.recording = False + + # Stop timer + if self._timer: + self._timer.stop() + + self._update_recording_buttons() + + def _on_audio_frames( + self, + frames: NDArray[np.float32], + timestamp: float, + ) -> None: + """Handle audio frames from capture. + + Args: + frames: Audio samples. + timestamp: Capture timestamp. + """ + # Send to server + if self._client and self._state.recording: + self._client.send_audio(frames, timestamp) + + # Buffer for playback (estimate duration from chunk size) + duration = len(frames) / 16000.0 # Sample rate is 16kHz + self._state.session_audio_buffer.append( + TimestampedAudio(frames=frames.copy(), timestamp=timestamp, duration=duration) + ) + + # Update VU meter + if self._vu_meter: + self._vu_meter.on_audio_frames(frames) + + def _on_segment_click(self, segment_index: int) -> None: + """Handle transcript segment click - seek playback to segment. + + Args: + segment_index: Index of clicked segment. + """ + if self._sync_controller: + self._sync_controller.seek_to_segment(segment_index) + + def _on_highlight_change(self, index: int | None) -> None: + """Handle highlight change from sync controller. + + Args: + index: Segment index to highlight, or None to clear. + """ + if self._transcript: + self._transcript.update_highlight(index) + + def _on_playback_position_change(self, position: float) -> None: + """Handle playback position change. + + Args: + position: Current playback position in seconds. + """ + # Sync controller handles segment matching internally + _ = position # Position tracked in state + + def _update_recording_buttons(self) -> None: + """Update recording button states.""" + if self._record_btn: + self._record_btn.disabled = not self._state.connected or self._state.recording + + if self._stop_btn: + self._stop_btn.disabled = not self._state.recording + + self._state.request_update() + + +def main() -> None: + """Run the NoteFlow client application.""" + parser = argparse.ArgumentParser(description="NoteFlow Client") + parser.add_argument( + "-s", + "--server", + type=str, + default=DEFAULT_SERVER, + help=f"Server address (default: {DEFAULT_SERVER})", + ) + parser.add_argument( + "-v", + "--verbose", + action="store_true", + help="Enable verbose logging", + ) + args = parser.parse_args() + + # Configure logging + log_level = logging.DEBUG if args.verbose else logging.INFO + logging.basicConfig( + level=log_level, + format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", + ) + + # Run app + app = NoteFlowClientApp(server_address=args.server) + app.run() + + +if __name__ == "__main__": + main() diff --git a/src/noteflow/client/components/__init__.py b/src/noteflow/client/components/__init__.py new file mode 100644 index 0000000..8eda193 --- /dev/null +++ b/src/noteflow/client/components/__init__.py @@ -0,0 +1,24 @@ +"""UI components for NoteFlow client. + +All components use existing types and utilities - no recreation. +""" + +from noteflow.client.components.annotation_toolbar import AnnotationToolbarComponent +from noteflow.client.components.connection_panel import ConnectionPanelComponent +from noteflow.client.components.meeting_library import MeetingLibraryComponent +from noteflow.client.components.playback_controls import PlaybackControlsComponent +from noteflow.client.components.playback_sync import PlaybackSyncController +from noteflow.client.components.recording_timer import RecordingTimerComponent +from noteflow.client.components.transcript import TranscriptComponent +from noteflow.client.components.vu_meter import VuMeterComponent + +__all__ = [ + "AnnotationToolbarComponent", + "ConnectionPanelComponent", + "MeetingLibraryComponent", + "PlaybackControlsComponent", + "PlaybackSyncController", + "RecordingTimerComponent", + "TranscriptComponent", + "VuMeterComponent", +] diff --git a/src/noteflow/client/components/__pycache__/__init__.cpython-312.pyc b/src/noteflow/client/components/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..4e8fb3b Binary files /dev/null and b/src/noteflow/client/components/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/client/components/__pycache__/connection_panel.cpython-312.pyc b/src/noteflow/client/components/__pycache__/connection_panel.cpython-312.pyc new file mode 100644 index 0000000..dfda668 Binary files /dev/null and b/src/noteflow/client/components/__pycache__/connection_panel.cpython-312.pyc differ diff --git a/src/noteflow/client/components/__pycache__/recording_timer.cpython-312.pyc b/src/noteflow/client/components/__pycache__/recording_timer.cpython-312.pyc new file mode 100644 index 0000000..daaba04 Binary files /dev/null and b/src/noteflow/client/components/__pycache__/recording_timer.cpython-312.pyc differ diff --git a/src/noteflow/client/components/__pycache__/transcript.cpython-312.pyc b/src/noteflow/client/components/__pycache__/transcript.cpython-312.pyc new file mode 100644 index 0000000..e7a4472 Binary files /dev/null and b/src/noteflow/client/components/__pycache__/transcript.cpython-312.pyc differ diff --git a/src/noteflow/client/components/__pycache__/vu_meter.cpython-312.pyc b/src/noteflow/client/components/__pycache__/vu_meter.cpython-312.pyc new file mode 100644 index 0000000..40a27b1 Binary files /dev/null and b/src/noteflow/client/components/__pycache__/vu_meter.cpython-312.pyc differ diff --git a/src/noteflow/client/components/annotation_toolbar.py b/src/noteflow/client/components/annotation_toolbar.py new file mode 100644 index 0000000..0257efd --- /dev/null +++ b/src/noteflow/client/components/annotation_toolbar.py @@ -0,0 +1,206 @@ +"""Annotation toolbar component for adding action items, decisions, and notes. + +Uses AnnotationInfo from grpc.client and NoteFlowClient.add_annotation(). +Does not recreate any types - imports and uses existing ones. +""" + +from __future__ import annotations + +import logging +from collections.abc import Callable +from typing import TYPE_CHECKING + +import flet as ft + +if TYPE_CHECKING: + from noteflow.client.state import AppState + from noteflow.grpc.client import NoteFlowClient + +logger = logging.getLogger(__name__) + + +class AnnotationToolbarComponent: + """Toolbar for adding annotations during recording or playback. + + Uses NoteFlowClient.add_annotation() to persist annotations. + """ + + def __init__( + self, + state: AppState, + get_client: Callable[[], NoteFlowClient | None], + ) -> None: + """Initialize annotation toolbar. + + Args: + state: Centralized application state. + get_client: Callable that returns current gRPC client or None. + """ + self._state = state + self._get_client = get_client + + # UI elements + self._action_btn: ft.ElevatedButton | None = None + self._decision_btn: ft.ElevatedButton | None = None + self._note_btn: ft.ElevatedButton | None = None + self._row: ft.Row | None = None + + # Dialog elements + self._dialog: ft.AlertDialog | None = None + self._text_field: ft.TextField | None = None + self._current_annotation_type: str = "" + + def build(self) -> ft.Row: + """Build annotation toolbar UI. + + Returns: + Row containing annotation buttons. + """ + self._action_btn = ft.ElevatedButton( + "Action Item", + icon=ft.Icons.CHECK_CIRCLE_OUTLINE, + on_click=lambda e: self._show_annotation_dialog("action_item"), + disabled=True, + ) + self._decision_btn = ft.ElevatedButton( + "Decision", + icon=ft.Icons.GAVEL, + on_click=lambda e: self._show_annotation_dialog("decision"), + disabled=True, + ) + self._note_btn = ft.ElevatedButton( + "Note", + icon=ft.Icons.NOTE_ADD, + on_click=lambda e: self._show_annotation_dialog("note"), + disabled=True, + ) + + self._row = ft.Row( + [self._action_btn, self._decision_btn, self._note_btn], + visible=False, + ) + return self._row + + def set_enabled(self, enabled: bool) -> None: + """Enable or disable annotation buttons. + + Args: + enabled: Whether buttons should be enabled. + """ + if self._action_btn: + self._action_btn.disabled = not enabled + if self._decision_btn: + self._decision_btn.disabled = not enabled + if self._note_btn: + self._note_btn.disabled = not enabled + self._state.request_update() + + def set_visible(self, visible: bool) -> None: + """Set visibility of annotation toolbar. + + Args: + visible: Whether toolbar should be visible. + """ + if self._row: + self._row.visible = visible + self._state.request_update() + + def _show_annotation_dialog(self, annotation_type: str) -> None: + """Show dialog for entering annotation text. + + Args: + annotation_type: Type of annotation (action_item, decision, note). + """ + self._current_annotation_type = annotation_type + + # Format type for display + type_display = annotation_type.replace("_", " ").title() + + self._text_field = ft.TextField( + label=f"{type_display} Text", + multiline=True, + min_lines=2, + max_lines=4, + width=400, + autofocus=True, + ) + + self._dialog = ft.AlertDialog( + title=ft.Text(f"Add {type_display}"), + content=self._text_field, + actions=[ + ft.TextButton("Cancel", on_click=self._close_dialog), + ft.ElevatedButton("Add", on_click=self._submit_annotation), + ], + actions_alignment=ft.MainAxisAlignment.END, + ) + + # Show dialog + if self._state._page: + self._state._page.dialog = self._dialog + self._dialog.open = True + self._state.request_update() + + def _close_dialog(self, e: ft.ControlEvent | None = None) -> None: + """Close the annotation dialog.""" + if self._dialog: + self._dialog.open = False + self._state.request_update() + + def _submit_annotation(self, e: ft.ControlEvent) -> None: + """Submit the annotation to the server.""" + if not self._text_field: + return + + text = self._text_field.value or "" + if not text.strip(): + return + + self._close_dialog() + + # Get current timestamp + timestamp = self._get_current_timestamp() + + # Submit to server + client = self._get_client() + if not client: + logger.warning("No gRPC client available for annotation") + return + + meeting = self._state.current_meeting + if not meeting: + logger.warning("No current meeting for annotation") + return + + try: + if annotation := client.add_annotation( + meeting_id=meeting.id, + annotation_type=self._current_annotation_type, + text=text.strip(), + start_time=timestamp, + end_time=timestamp, # Point annotation + ): + self._state.annotations.append(annotation) + logger.info( + "Added annotation: %s at %.2f", self._current_annotation_type, timestamp + ) + else: + logger.error("Failed to add annotation") + except Exception as exc: + logger.error("Error adding annotation: %s", exc) + + def _get_current_timestamp(self) -> float: + """Get current timestamp for annotation. + + Returns timestamp from playback position (during playback) or + recording elapsed time (during recording). + + Returns: + Current timestamp in seconds. + """ + # During playback, use playback position + if self._state.playback_position > 0: + return self._state.playback_position + + # During recording, use elapsed seconds + return float(self._state.elapsed_seconds) diff --git a/src/noteflow/client/components/connection_panel.py b/src/noteflow/client/components/connection_panel.py new file mode 100644 index 0000000..0131b4c --- /dev/null +++ b/src/noteflow/client/components/connection_panel.py @@ -0,0 +1,407 @@ +"""Server connection management panel. + +Uses NoteFlowClient directly (not wrapped) and follows same callback pattern. +Does not recreate any types - imports and uses existing ones. +""" + +from __future__ import annotations + +import logging +import threading +from collections.abc import Callable +from typing import TYPE_CHECKING, Final + +import flet as ft + +# REUSE existing types - do not recreate +from noteflow.grpc.client import NoteFlowClient, ServerInfo + +if TYPE_CHECKING: + from noteflow.client.state import AppState + +logger = logging.getLogger(__name__) + +RECONNECT_ATTEMPTS: Final[int] = 3 +RECONNECT_DELAY_SECONDS: Final[float] = 2.0 + + +class ConnectionPanelComponent: + """Server connection management panel. + + Uses NoteFlowClient directly (not wrapped) and follows same callback pattern. + """ + + def __init__( + self, + state: AppState, + on_connected: Callable[[NoteFlowClient, ServerInfo], None] | None = None, + on_disconnected: Callable[[], None] | None = None, + on_transcript_callback: Callable[..., None] | None = None, + on_connection_change_callback: Callable[[bool, str], None] | None = None, + ) -> None: + """Initialize connection panel. + + Args: + state: Centralized application state. + on_connected: Callback when connected with client and server info. + on_disconnected: Callback when disconnected. + on_transcript_callback: Callback to pass to NoteFlowClient for transcripts. + on_connection_change_callback: Callback to pass to NoteFlowClient for connection changes. + """ + self._state = state + self._on_connected = on_connected + self._on_disconnected = on_disconnected + self._on_transcript_callback = on_transcript_callback + self._on_connection_change_callback = on_connection_change_callback + self._client: NoteFlowClient | None = None + self._manual_disconnect = False + self._auto_reconnect_enabled = False + self._reconnect_thread: threading.Thread | None = None + self._reconnect_stop_event = threading.Event() + self._reconnect_lock = threading.Lock() + self._reconnect_in_progress = False + self._suppress_connection_events = False + + self._server_field: ft.TextField | None = None + self._connect_btn: ft.ElevatedButton | None = None + self._status_text: ft.Text | None = None + self._server_info_text: ft.Text | None = None + + @property + def client(self) -> NoteFlowClient | None: + """Get current gRPC client instance.""" + return self._client + + def build(self) -> ft.Column: + """Build connection panel UI. + + Returns: + Column containing connection controls and status. + """ + self._status_text = ft.Text( + "Not connected", + size=14, + color=ft.Colors.GREY_600, + ) + self._server_info_text = ft.Text( + "", + size=12, + color=ft.Colors.GREY_500, + ) + + self._server_field = ft.TextField( + value=self._state.server_address, + label="Server Address", + width=300, + on_change=self._on_server_change, + ) + self._connect_btn = ft.ElevatedButton( + "Connect", + on_click=self._on_connect_click, + icon=ft.Icons.CLOUD_OFF, + ) + + return ft.Column( + [ + self._status_text, + self._server_info_text, + ft.Row([self._server_field, self._connect_btn]), + ], + spacing=10, + ) + + def update_button_state(self) -> None: + """Update connect button state based on connection status.""" + if self._connect_btn: + if self._state.connected: + self._connect_btn.text = "Disconnect" + self._connect_btn.icon = ft.Icons.CLOUD_DONE + else: + self._connect_btn.text = "Connect" + self._connect_btn.icon = ft.Icons.CLOUD_OFF + self._state.request_update() + + def disconnect(self) -> None: + """Disconnect from server.""" + self._manual_disconnect = True + self._auto_reconnect_enabled = False + self._cancel_reconnect() + if self._client: + self._suppress_connection_events = True + try: + self._client.disconnect() + finally: + self._suppress_connection_events = False + self._client = None + + self._state.connected = False + self._state.server_info = None + + self._update_status("Disconnected", ft.Colors.GREY_600) + self.update_button_state() + + # Follow NoteFlowClient callback pattern with error handling + if self._on_disconnected: + try: + self._on_disconnected() + except Exception as e: + logger.error("on_disconnected callback error: %s", e) + + def _on_server_change(self, e: ft.ControlEvent) -> None: + """Handle server address change. + + Args: + e: Control event. + """ + self._state.server_address = str(e.control.value) + + def _on_connect_click(self, e: ft.ControlEvent) -> None: + """Handle connect/disconnect button click. + + Args: + e: Control event. + """ + if self._state.connected: + self.disconnect() + else: + self._manual_disconnect = False + self._cancel_reconnect() + threading.Thread(target=self._connect, daemon=True).start() + + def _connect(self) -> None: + """Connect to server (background thread).""" + self._update_status("Connecting...", ft.Colors.ORANGE) + + try: + if self._client: + self._suppress_connection_events = True + try: + self._client.disconnect() + finally: + self._suppress_connection_events = False + + # Create client with callbacks - use NoteFlowClient directly + self._client = NoteFlowClient( + server_address=self._state.server_address, + on_transcript=self._on_transcript_callback, + on_connection_change=self._handle_connection_change, + ) + + if self._client.connect(timeout=10.0): + if info := self._client.get_server_info(): + self._state.connected = True + self._state.server_info = info + self._state.run_on_ui_thread(lambda: self._on_connect_success(info)) + else: + self._update_status("Failed to get server info", ft.Colors.RED) + if self._client: + self._suppress_connection_events = True + try: + self._client.disconnect() + finally: + self._suppress_connection_events = False + self._client = None + self._state.connected = False + self._state.run_on_ui_thread(self.update_button_state) + else: + self._update_status("Connection failed", ft.Colors.RED) + except Exception as exc: + logger.error("Connection error: %s", exc) + self._update_status(f"Error: {exc}", ft.Colors.RED) + + def _handle_connection_change(self, connected: bool, message: str) -> None: + """Handle connection state change from NoteFlowClient. + + Args: + connected: Connection state. + message: Status message. + """ + if self._suppress_connection_events: + return + + self._state.connected = connected + + if connected: + self._auto_reconnect_enabled = True + self._manual_disconnect = False + self._reconnect_stop_event.set() + self._reconnect_in_progress = False + self._state.run_on_ui_thread( + lambda: self._update_status(f"Connected: {message}", ft.Colors.GREEN) + ) + elif self._manual_disconnect or not self._auto_reconnect_enabled: + self._state.run_on_ui_thread( + lambda: self._update_status(f"Disconnected: {message}", ft.Colors.RED) + ) + elif not self._reconnect_in_progress: + self._start_reconnect_loop(message) + + self._state.run_on_ui_thread(self.update_button_state) + + # Forward to external callback if provided + if (callback := self._on_connection_change_callback) is not None: + try: + self._state.run_on_ui_thread(lambda: callback(connected, message)) + except Exception as e: + logger.error("on_connection_change callback error: %s", e) + + def _on_connect_success(self, info: ServerInfo) -> None: + """Handle successful connection (UI thread). + + Args: + info: Server info from connection. + """ + self._auto_reconnect_enabled = True + self._reconnect_stop_event.set() + self._reconnect_in_progress = False + self.update_button_state() + self._update_status("Connected", ft.Colors.GREEN) + + # Update server info display + if self._server_info_text: + asr_status = "ready" if info.asr_ready else "not ready" + self._server_info_text.value = ( + f"Server v{info.version} | " + f"ASR: {info.asr_model} ({asr_status}) | " + f"Active meetings: {info.active_meetings}" + ) + + self._state.request_update() + + # Follow NoteFlowClient callback pattern with error handling + if self._on_connected and self._client: + try: + self._on_connected(self._client, info) + except Exception as e: + logger.error("on_connected callback error: %s", e) + + def _start_reconnect_loop(self, message: str) -> None: + """Start background reconnect attempts.""" + with self._reconnect_lock: + if self._reconnect_in_progress: + return + + self._reconnect_in_progress = True + self._reconnect_stop_event.clear() + self._reconnect_thread = threading.Thread( + target=self._reconnect_worker, + args=(message,), + daemon=True, + ) + self._reconnect_thread.start() + + def _reconnect_worker(self, message: str) -> None: + """Attempt to reconnect several times before giving up.""" + if not self._client: + self._reconnect_in_progress = False + return + + # Stop streaming here to avoid audio queue growth while reconnecting. + self._client.stop_streaming() + + for attempt in range(1, RECONNECT_ATTEMPTS + 1): + if self._reconnect_stop_event.is_set(): + self._reconnect_in_progress = False + return + + warning = f"Disconnected: {message}. Reconnecting ({attempt}/{RECONNECT_ATTEMPTS})" + if self._state.recording: + warning += " - recording will stop if not reconnected." + self._update_status(warning, ft.Colors.ORANGE) + + if self._attempt_reconnect(): + self._reconnect_in_progress = False + return + + self._reconnect_stop_event.wait(RECONNECT_DELAY_SECONDS) + + self._reconnect_in_progress = False + self._auto_reconnect_enabled = False + if self._state.recording: + final_message = "Reconnection failed. Recording stopped." + else: + final_message = "Reconnection failed." + self._finalize_disconnect(final_message) + + def _attempt_reconnect(self) -> bool: + """Attempt a single reconnect. + + Returns: + True if reconnected successfully. + """ + if not self._client: + return False + + self._suppress_connection_events = True + try: + self._client.disconnect() + finally: + self._suppress_connection_events = False + + if not self._client.connect(timeout=10.0): + return False + + info = self._client.get_server_info() + if not info: + self._suppress_connection_events = True + try: + self._client.disconnect() + finally: + self._suppress_connection_events = False + return False + + self._state.connected = True + self._state.server_info = info + self._state.run_on_ui_thread(lambda: self._on_connect_success(info)) + return True + + def _finalize_disconnect(self, message: str) -> None: + """Finalize disconnect after failed reconnect attempts.""" + self._state.connected = False + self._state.server_info = None + self._update_status(message, ft.Colors.RED) + self._state.run_on_ui_thread(self.update_button_state) + + def handle_disconnect() -> None: + if self._on_disconnected: + try: + self._on_disconnected() + except Exception as e: + logger.error("on_disconnected callback error: %s", e) + + if self._client: + threading.Thread(target=self._disconnect_client, daemon=True).start() + + self._state.run_on_ui_thread(handle_disconnect) + + def _disconnect_client(self) -> None: + """Disconnect client without triggering connection callbacks.""" + if not self._client: + return + + self._suppress_connection_events = True + try: + self._client.disconnect() + finally: + self._suppress_connection_events = False + self._client = None + + def _cancel_reconnect(self) -> None: + """Stop any in-progress reconnect attempt.""" + self._reconnect_stop_event.set() + + def _update_status(self, message: str, color: str) -> None: + """Update status text. + + Args: + message: Status message. + color: Text color. + """ + + def update() -> None: + if self._status_text: + self._status_text.value = message + self._status_text.color = color + self._state.request_update() + + self._state.run_on_ui_thread(update) diff --git a/src/noteflow/client/components/meeting_library.py b/src/noteflow/client/components/meeting_library.py new file mode 100644 index 0000000..1bc29bf --- /dev/null +++ b/src/noteflow/client/components/meeting_library.py @@ -0,0 +1,306 @@ +"""Meeting library component for browsing and exporting meetings. + +Uses MeetingInfo, ExportResult from grpc.client and format_datetime from _formatting. +Does not recreate any types - imports and uses existing ones. +""" + +from __future__ import annotations + +import logging +from collections.abc import Callable +from datetime import datetime +from typing import TYPE_CHECKING + +import flet as ft + +# REUSE existing formatting - do not recreate +from noteflow.infrastructure.export._formatting import format_datetime + +if TYPE_CHECKING: + from noteflow.client.state import AppState + from noteflow.grpc.client import MeetingInfo, NoteFlowClient + +logger = logging.getLogger(__name__) + + +class MeetingLibraryComponent: + """Meeting library for browsing and exporting meetings. + + Uses NoteFlowClient.list_meetings() and export_transcript() for data. + """ + + def __init__( + self, + state: AppState, + get_client: Callable[[], NoteFlowClient | None], + on_meeting_selected: Callable[[MeetingInfo], None] | None = None, + ) -> None: + """Initialize meeting library. + + Args: + state: Centralized application state. + get_client: Callable that returns current gRPC client or None. + on_meeting_selected: Callback when a meeting is selected. + """ + self._state = state + self._get_client = get_client + self._on_meeting_selected = on_meeting_selected + + # UI elements + self._search_field: ft.TextField | None = None + self._list_view: ft.ListView | None = None + self._export_btn: ft.ElevatedButton | None = None + self._refresh_btn: ft.IconButton | None = None + self._column: ft.Column | None = None + + # Export dialog + self._export_dialog: ft.AlertDialog | None = None + self._format_dropdown: ft.Dropdown | None = None + + def build(self) -> ft.Column: + """Build meeting library UI. + + Returns: + Column containing search, list, and export controls. + """ + self._search_field = ft.TextField( + label="Search meetings", + prefix_icon=ft.Icons.SEARCH, + on_change=self._on_search_change, + expand=True, + ) + self._refresh_btn = ft.IconButton( + icon=ft.Icons.REFRESH, + tooltip="Refresh meetings", + on_click=self._on_refresh_click, + ) + self._export_btn = ft.ElevatedButton( + "Export", + icon=ft.Icons.DOWNLOAD, + on_click=self._show_export_dialog, + disabled=True, + ) + + self._list_view = ft.ListView( + spacing=5, + padding=10, + height=200, + ) + + self._column = ft.Column( + [ + ft.Row([self._search_field, self._refresh_btn]), + ft.Container( + content=self._list_view, + border=ft.border.all(1, ft.Colors.GREY_400), + border_radius=8, + ), + ft.Row([self._export_btn], alignment=ft.MainAxisAlignment.END), + ], + spacing=10, + ) + return self._column + + def refresh_meetings(self) -> None: + """Refresh meeting list from server.""" + client = self._get_client() + if not client: + logger.warning("No gRPC client available") + return + + try: + meetings = client.list_meetings(limit=50) + self._state.meetings = meetings + self._state.run_on_ui_thread(self._render_meetings) + except Exception as exc: + logger.error("Error fetching meetings: %s", exc) + + def _on_search_change(self, e: ft.ControlEvent) -> None: + """Handle search field change.""" + self._render_meetings() + + def _on_refresh_click(self, e: ft.ControlEvent) -> None: + """Handle refresh button click.""" + self.refresh_meetings() + + def _render_meetings(self) -> None: + """Render meeting list (UI thread only).""" + if not self._list_view: + return + + self._list_view.controls.clear() + + # Filter by search query + search_query = (self._search_field.value or "").lower() if self._search_field else "" + filtered_meetings = [m for m in self._state.meetings if search_query in m.title.lower()] + + for meeting in filtered_meetings: + self._list_view.controls.append(self._create_meeting_row(meeting)) + + self._state.request_update() + + def _create_meeting_row(self, meeting: MeetingInfo) -> ft.Container: + """Create a row for a meeting. + + Args: + meeting: Meeting info to display. + + Returns: + Container with meeting details. + """ + # Format datetime from timestamp + created_dt = datetime.fromtimestamp(meeting.created_at) if meeting.created_at else None + date_str = format_datetime(created_dt) + + # Format duration + duration = meeting.duration_seconds + duration_str = f"{int(duration // 60)}:{int(duration % 60):02d}" if duration else "--:--" + + is_selected = self._state.selected_meeting and self._state.selected_meeting.id == meeting.id + + row = ft.Row( + [ + ft.Column( + [ + ft.Text(meeting.title, weight=ft.FontWeight.BOLD, size=14), + ft.Text( + f"{date_str} | {meeting.state} | {meeting.segment_count} segments | {duration_str}", + size=11, + color=ft.Colors.GREY_600, + ), + ], + spacing=2, + expand=True, + ), + ] + ) + + return ft.Container( + content=row, + padding=10, + border_radius=4, + bgcolor=ft.Colors.BLUE_50 if is_selected else None, + on_click=lambda e, m=meeting: self._on_meeting_click(m), + ink=True, + ) + + def _on_meeting_click(self, meeting: MeetingInfo) -> None: + """Handle meeting row click. + + Args: + meeting: Selected meeting. + """ + self._state.selected_meeting = meeting + + # Enable export button + if self._export_btn: + self._export_btn.disabled = False + + # Re-render to update selection + self._render_meetings() + + # Notify callback + if self._on_meeting_selected: + self._on_meeting_selected(meeting) + + def _show_export_dialog(self, e: ft.ControlEvent) -> None: + """Show export format selection dialog.""" + if not self._state.selected_meeting: + return + + self._format_dropdown = ft.Dropdown( + label="Export Format", + options=[ + ft.dropdown.Option("markdown", "Markdown (.md)"), + ft.dropdown.Option("html", "HTML (.html)"), + ], + value="markdown", + width=200, + ) + + self._export_dialog = ft.AlertDialog( + title=ft.Text("Export Transcript"), + content=ft.Column( + [ + ft.Text(f"Meeting: {self._state.selected_meeting.title}"), + self._format_dropdown, + ], + spacing=10, + tight=True, + ), + actions=[ + ft.TextButton("Cancel", on_click=self._close_export_dialog), + ft.ElevatedButton("Export", on_click=self._do_export), + ], + actions_alignment=ft.MainAxisAlignment.END, + ) + + if self._state._page: + self._state._page.dialog = self._export_dialog + self._export_dialog.open = True + self._state.request_update() + + def _close_export_dialog(self, e: ft.ControlEvent | None = None) -> None: + """Close the export dialog.""" + if self._export_dialog: + self._export_dialog.open = False + self._state.request_update() + + def _do_export(self, e: ft.ControlEvent) -> None: + """Perform the export.""" + if not self._state.selected_meeting or not self._format_dropdown: + return + + format_name = self._format_dropdown.value or "markdown" + meeting_id = self._state.selected_meeting.id + + self._close_export_dialog() + + client = self._get_client() + if not client: + logger.warning("No gRPC client available for export") + return + + try: + if result := client.export_transcript(meeting_id, format_name): + self._save_export(result.content, result.file_extension) + else: + logger.error("Export failed - no result returned") + except Exception as exc: + logger.error("Error exporting transcript: %s", exc) + + def _save_export(self, content: str, extension: str) -> None: + """Save exported content to file. + + Args: + content: Export content. + extension: File extension. + """ + if not self._state.selected_meeting: + return + + # Create filename from meeting title + safe_title = "".join( + c if c.isalnum() or c in " -_" else "_" for c in self._state.selected_meeting.title + ) + filename = f"{safe_title}.{extension}" + + # Use FilePicker for save dialog + if self._state._page: + + def on_save(e: ft.FilePickerResultEvent) -> None: + if e.path: + try: + with open(e.path, "w", encoding="utf-8") as f: + f.write(content) + logger.info("Exported to: %s", e.path) + except OSError as exc: + logger.error("Error saving export: %s", exc) + + picker = ft.FilePicker(on_result=on_save) + self._state._page.overlay.append(picker) + self._state._page.update() + picker.save_file( + file_name=filename, + allowed_extensions=[extension], + ) diff --git a/src/noteflow/client/components/playback_controls.py b/src/noteflow/client/components/playback_controls.py new file mode 100644 index 0000000..9ec3a12 --- /dev/null +++ b/src/noteflow/client/components/playback_controls.py @@ -0,0 +1,261 @@ +"""Playback controls component with play/pause/stop and timeline. + +Uses SoundDevicePlayback from infrastructure.audio and format_timestamp from _formatting. +Does not recreate any types - imports and uses existing ones. +""" + +from __future__ import annotations + +import logging +import threading +from collections.abc import Callable +from typing import TYPE_CHECKING, Final + +import flet as ft + +# REUSE existing types - do not recreate +from noteflow.infrastructure.audio import PlaybackState +from noteflow.infrastructure.export._formatting import format_timestamp + +if TYPE_CHECKING: + from noteflow.client.state import AppState + +logger = logging.getLogger(__name__) + +POSITION_POLL_INTERVAL: Final[float] = 0.1 # 100ms for smooth timeline updates + + +class PlaybackControlsComponent: + """Audio playback controls with play/pause/stop and timeline. + + Uses SoundDevicePlayback from state and format_timestamp from _formatting. + """ + + def __init__( + self, + state: AppState, + on_position_change: Callable[[float], None] | None = None, + ) -> None: + """Initialize playback controls component. + + Args: + state: Centralized application state. + on_position_change: Callback when playback position changes. + """ + self._state = state + self._on_position_change = on_position_change + + # Polling thread + self._poll_thread: threading.Thread | None = None + self._stop_event = threading.Event() + + # UI elements + self._play_btn: ft.IconButton | None = None + self._stop_btn: ft.IconButton | None = None + self._position_label: ft.Text | None = None + self._duration_label: ft.Text | None = None + self._timeline_slider: ft.Slider | None = None + self._row: ft.Row | None = None + + def build(self) -> ft.Row: + """Build playback controls UI. + + Returns: + Row containing playback buttons and timeline. + """ + self._play_btn = ft.IconButton( + icon=ft.Icons.PLAY_ARROW, + icon_color=ft.Colors.GREEN, + tooltip="Play", + on_click=self._on_play_click, + disabled=True, + ) + self._stop_btn = ft.IconButton( + icon=ft.Icons.STOP, + icon_color=ft.Colors.RED, + tooltip="Stop", + on_click=self._on_stop_click, + disabled=True, + ) + self._position_label = ft.Text("00:00", size=12, width=50) + self._duration_label = ft.Text("00:00", size=12, width=50) + self._timeline_slider = ft.Slider( + min=0, + max=100, + value=0, + expand=True, + on_change=self._on_slider_change, + disabled=True, + ) + + self._row = ft.Row( + [ + self._play_btn, + self._stop_btn, + self._position_label, + self._timeline_slider, + self._duration_label, + ], + visible=False, + ) + return self._row + + def set_visible(self, visible: bool) -> None: + """Set visibility of playback controls. + + Args: + visible: Whether controls should be visible. + """ + if self._row: + self._row.visible = visible + self._state.request_update() + + def load_audio(self) -> None: + """Load session audio buffer for playback.""" + buffer = self._state.session_audio_buffer + if not buffer: + logger.warning("No audio in session buffer") + return + + # Play through SoundDevicePlayback + self._state.playback.play(buffer) + self._state.playback.pause() # Load but don't start + + # Update UI state + duration = self._state.playback.total_duration + self._state.playback_position = 0.0 + + self._state.run_on_ui_thread(lambda: self._update_loaded_state(duration)) + + def _update_loaded_state(self, duration: float) -> None: + """Update UI after audio is loaded (UI thread only).""" + if self._play_btn: + self._play_btn.disabled = False + if self._stop_btn: + self._stop_btn.disabled = False + if self._timeline_slider: + self._timeline_slider.disabled = False + self._timeline_slider.max = max(duration, 0.1) + self._timeline_slider.value = 0 + if self._duration_label: + self._duration_label.value = format_timestamp(duration) + if self._position_label: + self._position_label.value = "00:00" + + self.set_visible(True) + self._state.request_update() + + def seek(self, position: float) -> None: + """Seek to a specific position. + + Args: + position: Position in seconds. + """ + if self._state.playback.seek(position): + self._state.playback_position = position + self._state.run_on_ui_thread(self._update_position_display) + + def _on_play_click(self, e: ft.ControlEvent) -> None: + """Handle play/pause button click.""" + playback = self._state.playback + + if playback.state == PlaybackState.PLAYING: + playback.pause() + self._stop_polling() + self._update_play_button(playing=False) + elif playback.state == PlaybackState.PAUSED: + playback.resume() + self._start_polling() + self._update_play_button(playing=True) + elif buffer := self._state.session_audio_buffer: + playback.play(buffer) + self._start_polling() + self._update_play_button(playing=True) + + def _on_stop_click(self, e: ft.ControlEvent) -> None: + """Handle stop button click.""" + self._stop_polling() + self._state.playback.stop() + self._state.playback_position = 0.0 + self._update_play_button(playing=False) + self._state.run_on_ui_thread(self._update_position_display) + + def _on_slider_change(self, e: ft.ControlEvent) -> None: + """Handle timeline slider change.""" + if self._timeline_slider: + position = float(self._timeline_slider.value or 0) + self.seek(position) + + def _update_play_button(self, *, playing: bool) -> None: + """Update play button icon based on state.""" + if self._play_btn: + if playing: + self._play_btn.icon = ft.Icons.PAUSE + self._play_btn.tooltip = "Pause" + else: + self._play_btn.icon = ft.Icons.PLAY_ARROW + self._play_btn.tooltip = "Play" + self._state.request_update() + + def _start_polling(self) -> None: + """Start position polling thread.""" + if self._poll_thread and self._poll_thread.is_alive(): + return + + self._stop_event.clear() + self._poll_thread = threading.Thread( + target=self._poll_loop, + daemon=True, + name="PlaybackPositionPoll", + ) + self._poll_thread.start() + + def _stop_polling(self) -> None: + """Stop position polling thread.""" + self._stop_event.set() + if self._poll_thread: + self._poll_thread.join(timeout=1.0) + self._poll_thread = None + + def _poll_loop(self) -> None: + """Background polling loop for position updates.""" + while not self._stop_event.is_set(): + playback = self._state.playback + + if playback.state == PlaybackState.PLAYING: + position = playback.current_position + self._state.playback_position = position + self._state.run_on_ui_thread(self._update_position_display) + + # Notify callback + if self._on_position_change: + try: + self._on_position_change(position) + except Exception as e: + logger.error("Position change callback error: %s", e) + + elif playback.state == PlaybackState.STOPPED: + # Playback finished - update UI and stop polling + self._state.run_on_ui_thread(self._on_playback_finished) + break + + self._stop_event.wait(POSITION_POLL_INTERVAL) + + def _update_position_display(self) -> None: + """Update position display elements (UI thread only).""" + position = self._state.playback_position + + if self._position_label: + self._position_label.value = format_timestamp(position) + + if self._timeline_slider and not self._timeline_slider.disabled: + # Only update if user isn't dragging + self._timeline_slider.value = position + + self._state.request_update() + + def _on_playback_finished(self) -> None: + """Handle playback completion (UI thread only).""" + self._update_play_button(playing=False) + self._state.playback_position = 0.0 + self._update_position_display() diff --git a/src/noteflow/client/components/playback_sync.py b/src/noteflow/client/components/playback_sync.py new file mode 100644 index 0000000..ea32168 --- /dev/null +++ b/src/noteflow/client/components/playback_sync.py @@ -0,0 +1,129 @@ +"""Playback-transcript synchronization controller. + +Polls playback position and updates transcript highlight state. +Follows RecordingTimerComponent pattern for background threading. +""" + +from __future__ import annotations + +import logging +import threading +from collections.abc import Callable +from typing import TYPE_CHECKING, Final + +from noteflow.infrastructure.audio import PlaybackState + +if TYPE_CHECKING: + from noteflow.client.state import AppState + +logger = logging.getLogger(__name__) + +POSITION_POLL_INTERVAL: Final[float] = 0.1 # 100ms for smooth highlighting + + +class PlaybackSyncController: + """Synchronize playback position with transcript highlighting. + + Polls playback position and updates state.highlighted_segment_index. + Triggers UI updates via state.run_on_ui_thread(). + """ + + def __init__( + self, + state: AppState, + on_highlight_change: Callable[[int | None], None] | None = None, + ) -> None: + """Initialize sync controller. + + Args: + state: Centralized application state. + on_highlight_change: Callback when highlighted segment changes. + """ + self._state = state + self._on_highlight_change = on_highlight_change + self._sync_thread: threading.Thread | None = None + self._stop_event = threading.Event() + + def start(self) -> None: + """Start position sync polling.""" + if self._sync_thread and self._sync_thread.is_alive(): + return + + self._stop_event.clear() + self._sync_thread = threading.Thread( + target=self._sync_loop, + daemon=True, + name="PlaybackSyncController", + ) + self._sync_thread.start() + logger.debug("Started playback sync controller") + + def stop(self) -> None: + """Stop position sync polling.""" + self._stop_event.set() + if self._sync_thread: + self._sync_thread.join(timeout=2.0) + self._sync_thread = None + logger.debug("Stopped playback sync controller") + + def _sync_loop(self) -> None: + """Background sync loop - polls position and updates highlight.""" + while not self._stop_event.is_set(): + playback = self._state.playback + + if playback.state == PlaybackState.PLAYING: + position = playback.current_position + self._update_position(position) + elif playback.state == PlaybackState.STOPPED: + # Clear highlight when stopped + if self._state.highlighted_segment_index is not None: + self._state.highlighted_segment_index = None + self._state.run_on_ui_thread(self._notify_highlight_change) + + self._stop_event.wait(POSITION_POLL_INTERVAL) + + def _update_position(self, position: float) -> None: + """Update state with current position and find matching segment.""" + self._state.playback_position = position + + new_index = self._state.find_segment_at_position(position) + old_index = self._state.highlighted_segment_index + + if new_index != old_index: + self._state.highlighted_segment_index = new_index + self._state.run_on_ui_thread(self._notify_highlight_change) + + def _notify_highlight_change(self) -> None: + """Notify UI of highlight change (UI thread only).""" + if self._on_highlight_change: + try: + self._on_highlight_change(self._state.highlighted_segment_index) + except Exception as e: + logger.error("Highlight change callback error: %s", e) + + self._state.request_update() + + def seek_to_segment(self, segment_index: int) -> bool: + """Seek playback to start of specified segment. + + Args: + segment_index: Index into state.transcript_segments. + + Returns: + True if seek was successful. + """ + segments = self._state.transcript_segments + if not (0 <= segment_index < len(segments)): + logger.warning("Invalid segment index: %d", segment_index) + return False + + playback = self._state.playback + segment = segments[segment_index] + + if playback.seek(segment.start_time): + self._state.highlighted_segment_index = segment_index + self._state.playback_position = segment.start_time + self._state.run_on_ui_thread(self._notify_highlight_change) + return True + + return False diff --git a/src/noteflow/client/components/recording_timer.py b/src/noteflow/client/components/recording_timer.py new file mode 100644 index 0000000..153acff --- /dev/null +++ b/src/noteflow/client/components/recording_timer.py @@ -0,0 +1,109 @@ +"""Recording timer component with background thread. + +Uses format_timestamp() from infrastructure/export/_formatting.py (not local implementation). +""" + +from __future__ import annotations + +import threading +import time +from typing import TYPE_CHECKING, Final + +import flet as ft + +# REUSE existing formatting utility - do not recreate +from noteflow.infrastructure.export._formatting import format_timestamp + +if TYPE_CHECKING: + from noteflow.client.state import AppState + +TIMER_UPDATE_INTERVAL: Final[float] = 1.0 + + +class RecordingTimerComponent: + """Recording duration timer with background thread. + + Uses format_timestamp() from export._formatting (not local implementation). + """ + + def __init__(self, state: AppState) -> None: + """Initialize timer component. + + Args: + state: Centralized application state. + """ + self._state = state + self._timer_thread: threading.Thread | None = None + self._stop_event = threading.Event() + + self._dot: ft.Icon | None = None + self._label: ft.Text | None = None + self._row: ft.Row | None = None + + def build(self) -> ft.Row: + """Build timer UI elements. + + Returns: + Row containing recording dot and time label. + """ + self._dot = ft.Icon( + ft.Icons.FIBER_MANUAL_RECORD, + color=ft.Colors.RED, + size=16, + ) + self._label = ft.Text( + "00:00", + size=20, + weight=ft.FontWeight.BOLD, + color=ft.Colors.RED, + ) + self._row = ft.Row( + controls=[self._dot, self._label], + visible=False, + ) + return self._row + + def start(self) -> None: + """Start the recording timer.""" + self._state.recording_start_time = time.time() + self._state.elapsed_seconds = 0 + self._stop_event.clear() + + if self._row: + self._row.visible = True + if self._label: + self._label.value = "00:00" + + self._timer_thread = threading.Thread(target=self._timer_loop, daemon=True) + self._timer_thread.start() + self._state.request_update() + + def stop(self) -> None: + """Stop the recording timer.""" + self._stop_event.set() + if self._timer_thread: + self._timer_thread.join(timeout=2.0) + self._timer_thread = None + + if self._row: + self._row.visible = False + + self._state.recording_start_time = None + self._state.request_update() + + def _timer_loop(self) -> None: + """Background timer loop.""" + while not self._stop_event.is_set(): + if self._state.recording_start_time is not None: + self._state.elapsed_seconds = int(time.time() - self._state.recording_start_time) + self._state.run_on_ui_thread(self._update_display) + self._stop_event.wait(TIMER_UPDATE_INTERVAL) + + def _update_display(self) -> None: + """Update timer display (UI thread only).""" + if not self._label: + return + + # REUSE existing format_timestamp from _formatting.py + self._label.value = format_timestamp(float(self._state.elapsed_seconds)) + self._state.request_update() diff --git a/src/noteflow/client/components/transcript.py b/src/noteflow/client/components/transcript.py new file mode 100644 index 0000000..4774bcf --- /dev/null +++ b/src/noteflow/client/components/transcript.py @@ -0,0 +1,205 @@ +"""Transcript display component with click-to-seek and highlighting. + +Uses TranscriptSegment from grpc.client and format_timestamp from _formatting. +Does not recreate any types - imports and uses existing ones. +""" + +from __future__ import annotations + +from collections.abc import Callable +from typing import TYPE_CHECKING + +import flet as ft + +# REUSE existing formatting - do not recreate +from noteflow.infrastructure.export._formatting import format_timestamp + +if TYPE_CHECKING: + from noteflow.client.state import AppState + + # REUSE existing types - do not recreate + from noteflow.grpc.client import ServerInfo, TranscriptSegment + + +class TranscriptComponent: + """Transcript segment display with click-to-seek and highlighting. + + Uses TranscriptSegment from grpc.client and format_timestamp from _formatting. + """ + + def __init__( + self, + state: AppState, + on_segment_click: Callable[[int], None] | None = None, + ) -> None: + """Initialize transcript component. + + Args: + state: Centralized application state. + on_segment_click: Callback when segment clicked (receives segment index). + """ + self._state = state + self._on_segment_click = on_segment_click + self._list_view: ft.ListView | None = None + self._segment_rows: list[ft.Container] = [] # Track rows for highlighting + + def build(self) -> ft.Container: + """Build transcript list view. + + Returns: + Container with bordered ListView. + """ + self._list_view = ft.ListView( + spacing=10, + padding=10, + auto_scroll=False, # We control scrolling for sync + height=300, + ) + self._segment_rows.clear() + + return ft.Container( + content=self._list_view, + border=ft.border.all(1, ft.Colors.GREY_400), + border_radius=8, + ) + + def add_segment(self, segment: TranscriptSegment) -> None: + """Add transcript segment to display. + + Args: + segment: Transcript segment from server. + """ + self._state.transcript_segments.append(segment) + self._state.run_on_ui_thread(lambda: self._render_segment(segment)) + + def display_server_info(self, info: ServerInfo) -> None: + """Display server info in transcript area. + + Args: + info: Server info from connection. + """ + self._state.run_on_ui_thread(lambda: self._render_server_info(info)) + + def clear(self) -> None: + """Clear all transcript segments.""" + self._state.clear_transcript() + self._segment_rows.clear() + if self._list_view: + self._list_view.controls.clear() + self._state.request_update() + + def _render_segment(self, segment: TranscriptSegment) -> None: + """Render single segment with click handler (UI thread only). + + Args: + segment: Transcript segment to render. + """ + if not self._list_view: + return + + segment_index = len(self._segment_rows) + + # REUSE existing format_timestamp from _formatting.py + # Format as time range for transcript display + time_str = ( + f"[{format_timestamp(segment.start_time)} - {format_timestamp(segment.end_time)}]" + ) + + # Style based on finality + color = ft.Colors.BLACK if segment.is_final else ft.Colors.GREY_600 + weight = ft.FontWeight.NORMAL if segment.is_final else ft.FontWeight.W_300 + + row = ft.Row( + [ + ft.Text(time_str, size=11, color=ft.Colors.GREY_500, width=120), + ft.Text( + segment.text, + size=14, + color=color, + weight=weight, + expand=True, + ), + ] + ) + + # Wrap in container for click handling and highlighting + container = ft.Container( + content=row, + padding=5, + border_radius=4, + on_click=lambda e, idx=segment_index: self._handle_click(idx), + ink=True, + ) + + self._segment_rows.append(container) + self._list_view.controls.append(container) + self._state.request_update() + + def _handle_click(self, segment_index: int) -> None: + """Handle segment row click. + + Args: + segment_index: Index of clicked segment. + """ + if self._on_segment_click: + self._on_segment_click(segment_index) + + def _render_server_info(self, info: ServerInfo) -> None: + """Render server info (UI thread only). + + Args: + info: Server info to display. + """ + if not self._list_view: + return + + asr_status = "ready" if info.asr_ready else "not ready" + info_text = ( + f"Connected to server v{info.version} | " + f"ASR: {info.asr_model} ({asr_status}) | " + f"Active meetings: {info.active_meetings}" + ) + + self._list_view.controls.append( + ft.Text( + info_text, + size=12, + color=ft.Colors.GREEN_700, + italic=True, + ) + ) + self._state.request_update() + + def update_highlight(self, highlighted_index: int | None) -> None: + """Update visual highlight on segments. + + Args: + highlighted_index: Index of segment to highlight, or None to clear. + """ + for idx, container in enumerate(self._segment_rows): + if idx == highlighted_index: + container.bgcolor = ft.Colors.YELLOW_100 + container.border = ft.border.all(1, ft.Colors.YELLOW_700) + else: + container.bgcolor = None + container.border = None + + # Scroll to highlighted segment + if highlighted_index is not None: + self._scroll_to_segment(highlighted_index) + + self._state.request_update() + + def _scroll_to_segment(self, segment_index: int) -> None: + """Scroll ListView to show specified segment. + + Args: + segment_index: Index of segment to scroll to. + """ + if not self._list_view or segment_index >= len(self._segment_rows): + return + + # Estimate row height for scroll calculation + estimated_row_height = 50 + offset = segment_index * estimated_row_height + self._list_view.scroll_to(offset=offset, duration=200) diff --git a/src/noteflow/client/components/vu_meter.py b/src/noteflow/client/components/vu_meter.py new file mode 100644 index 0000000..56125b9 --- /dev/null +++ b/src/noteflow/client/components/vu_meter.py @@ -0,0 +1,86 @@ +"""VU meter component for audio level visualization. + +Uses RmsLevelProvider from AppState (not a new instance). +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING + +import flet as ft +import numpy as np +from numpy.typing import NDArray + +if TYPE_CHECKING: + from noteflow.client.state import AppState + + +class VuMeterComponent: + """Audio level visualization component. + + Uses RmsLevelProvider from AppState (not a new instance). + """ + + def __init__(self, state: AppState) -> None: + """Initialize VU meter component. + + Args: + state: Centralized application state with level_provider. + """ + self._state = state + # REUSE level_provider from state - do not create new instance + self._progress_bar: ft.ProgressBar | None = None + self._label: ft.Text | None = None + + def build(self) -> ft.Row: + """Build VU meter UI elements. + + Returns: + Row containing progress bar and level label. + """ + self._progress_bar = ft.ProgressBar( + value=0, + width=300, + bar_height=20, + color=ft.Colors.GREEN, + bgcolor=ft.Colors.GREY_300, + ) + self._label = ft.Text("-60 dB", size=12, width=60) + + return ft.Row( + [ + ft.Text("Level:", size=12), + self._progress_bar, + self._label, + ] + ) + + def on_audio_frames(self, frames: NDArray[np.float32]) -> None: + """Process incoming audio frames for level metering. + + Uses state.level_provider.get_db() - existing RmsLevelProvider method. + + Args: + frames: Audio samples as float32 array. + """ + # REUSE existing RmsLevelProvider from state + db_level = self._state.level_provider.get_db(frames) + self._state.current_db_level = db_level + self._state.run_on_ui_thread(self._update_display) + + def _update_display(self) -> None: + """Update VU meter display (UI thread only).""" + if not self._progress_bar or not self._label: + return + + db = self._state.current_db_level + # Convert dB to 0-1 range (-60 to 0 dB) + normalized = max(0.0, min(1.0, (db + 60) / 60)) + + self._progress_bar.value = normalized + self._progress_bar.color = ( + ft.Colors.RED if db > -6 else ft.Colors.YELLOW if db > -20 else ft.Colors.GREEN + ) + self._label.value = f"{db:.0f} dB" + + self._state.request_update() diff --git a/src/noteflow/client/state.py b/src/noteflow/client/state.py new file mode 100644 index 0000000..f5d92d0 --- /dev/null +++ b/src/noteflow/client/state.py @@ -0,0 +1,155 @@ +"""Centralized application state for NoteFlow client. + +Composes existing types from grpc.client and infrastructure.audio. +Does not recreate any dataclasses - imports and uses existing ones. +""" + +from __future__ import annotations + +import logging +from collections.abc import Callable +from dataclasses import dataclass, field + +import flet as ft + +# REUSE existing types - do not recreate +from noteflow.grpc.client import AnnotationInfo, MeetingInfo, ServerInfo, TranscriptSegment +from noteflow.infrastructure.audio import ( + RmsLevelProvider, + SoundDevicePlayback, + TimestampedAudio, +) + +logger = logging.getLogger(__name__) + +# Callback type aliases (follow NoteFlowClient pattern from grpc/client.py) +OnTranscriptCallback = Callable[[TranscriptSegment], None] +OnConnectionCallback = Callable[[bool, str], None] + + +@dataclass +class AppState: + """Centralized application state for NoteFlow client. + + Composes existing types from grpc.client and infrastructure.audio. + All state is centralized here for component access. + """ + + # Connection state + server_address: str = "localhost:50051" + connected: bool = False + server_info: ServerInfo | None = None # REUSE existing type + + # Recording state + recording: bool = False + current_meeting: MeetingInfo | None = None # REUSE existing type + recording_start_time: float | None = None + elapsed_seconds: int = 0 + + # Audio state (REUSE existing RmsLevelProvider) + level_provider: RmsLevelProvider = field(default_factory=RmsLevelProvider) + current_db_level: float = -60.0 + + # Transcript state (REUSE existing TranscriptSegment) + transcript_segments: list[TranscriptSegment] = field(default_factory=list) + + # Playback state (REUSE existing SoundDevicePlayback) + playback: SoundDevicePlayback = field(default_factory=SoundDevicePlayback) + playback_position: float = 0.0 + session_audio_buffer: list[TimestampedAudio] = field(default_factory=list) + + # Transcript sync state + highlighted_segment_index: int | None = None + + # Annotations state (REUSE existing AnnotationInfo) + annotations: list[AnnotationInfo] = field(default_factory=list) + + # Meeting library state (REUSE existing MeetingInfo) + meetings: list[MeetingInfo] = field(default_factory=list) + selected_meeting: MeetingInfo | None = None + + # UI page reference (private) + _page: ft.Page | None = field(default=None, repr=False) + + def set_page(self, page: ft.Page) -> None: + """Set page reference for thread-safe updates. + + Args: + page: Flet page instance. + """ + self._page = page + + def request_update(self) -> None: + """Request UI update from any thread. + + Safe to call from background threads. + """ + if self._page: + self._page.update() + + def run_on_ui_thread(self, callback: Callable[[], None]) -> None: + """Schedule callback on the UI event loop safely. + + Follows NoteFlowClient callback pattern with error handling. + + Args: + callback: Function to execute on the UI event loop. + """ + if not self._page: + return + + try: + if hasattr(self._page, "run_task"): + + async def _run() -> None: + callback() + + self._page.run_task(_run) + else: + self._page.run_thread(callback) + except Exception as e: + logger.error("UI thread callback error: %s", e) + + def clear_transcript(self) -> None: + """Clear all transcript segments.""" + self.transcript_segments.clear() + + def reset_recording_state(self) -> None: + """Reset recording-related state.""" + self.recording = False + self.current_meeting = None + self.recording_start_time = None + self.elapsed_seconds = 0 + + def clear_session_audio(self) -> None: + """Clear session audio buffer and reset playback state.""" + self.session_audio_buffer.clear() + self.playback_position = 0.0 + + def find_segment_at_position(self, position: float) -> int | None: + """Find segment index containing the given position using binary search. + + Args: + position: Time in seconds. + + Returns: + Index of segment containing position, or None if not found. + """ + segments = self.transcript_segments + if not segments: + return None + + left, right = 0, len(segments) - 1 + + while left <= right: + mid = (left + right) // 2 + segment = segments[mid] + + if segment.start_time <= position <= segment.end_time: + return mid + if position < segment.start_time: + right = mid - 1 + else: + left = mid + 1 + + return None diff --git a/src/noteflow/config/__init__.py b/src/noteflow/config/__init__.py new file mode 100644 index 0000000..4c72964 --- /dev/null +++ b/src/noteflow/config/__init__.py @@ -0,0 +1,5 @@ +"""NoteFlow configuration module.""" + +from .settings import Settings, get_settings + +__all__ = ["Settings", "get_settings"] diff --git a/src/noteflow/config/settings.py b/src/noteflow/config/settings.py new file mode 100644 index 0000000..0594489 --- /dev/null +++ b/src/noteflow/config/settings.py @@ -0,0 +1,114 @@ +"""NoteFlow application settings using Pydantic settings.""" + +from __future__ import annotations + +from functools import lru_cache +from pathlib import Path +from typing import Annotated, cast + +from pydantic import Field, PostgresDsn +from pydantic_settings import BaseSettings, SettingsConfigDict + + +def _default_meetings_dir() -> Path: + """Return default meetings directory path.""" + return Path.home() / ".noteflow" / "meetings" + + +class Settings(BaseSettings): + """Application settings loaded from environment variables. + + Environment variables: + NOTEFLOW_DATABASE_URL: PostgreSQL connection URL + Example: postgresql+asyncpg://user:pass@host:5432/dbname?options=-csearch_path%3Dnoteflow + NOTEFLOW_DB_POOL_SIZE: Connection pool size (default: 5) + NOTEFLOW_DB_ECHO: Echo SQL statements (default: False) + NOTEFLOW_ASR_MODEL_SIZE: Whisper model size (default: base) + NOTEFLOW_ASR_DEVICE: ASR device (default: cpu) + NOTEFLOW_ASR_COMPUTE_TYPE: ASR compute type (default: int8) + NOTEFLOW_MEETINGS_DIR: Directory for meeting audio storage (default: ~/.noteflow/meetings) + """ + + model_config = SettingsConfigDict( + env_prefix="NOTEFLOW_", + env_file=".env", + env_file_encoding="utf-8", + extra="ignore", + ) + + # Database settings + database_url: Annotated[ + PostgresDsn, + Field( + description="PostgreSQL connection URL with asyncpg driver", + examples=["postgresql+asyncpg://user:pass@localhost:5432/noteflow"], + ), + ] + db_pool_size: Annotated[ + int, + Field(default=5, ge=1, le=50, description="Database connection pool size"), + ] + db_echo: Annotated[ + bool, + Field(default=False, description="Echo SQL statements to log"), + ] + + # ASR settings + asr_model_size: Annotated[ + str, + Field(default="base", description="Whisper model size"), + ] + asr_device: Annotated[ + str, + Field(default="cpu", description="ASR device (cpu or cuda)"), + ] + asr_compute_type: Annotated[ + str, + Field(default="int8", description="ASR compute type"), + ] + + # Server settings + grpc_port: Annotated[ + int, + Field(default=50051, ge=1, le=65535, description="gRPC server port"), + ] + + # Storage settings + meetings_dir: Annotated[ + Path, + Field( + default_factory=_default_meetings_dir, + description="Directory for meeting audio and metadata storage", + ), + ] + + @property + def database_url_str(self) -> str: + """Return database URL as string.""" + return str(self.database_url) + + +def _load_settings() -> Settings: + """Load settings from environment. + + Returns: + Settings instance. + + Raises: + ValidationError: If required environment variables are not set. + """ + # pydantic-settings reads from environment; model_validate handles this + return cast("Settings", Settings.model_validate({})) + + +@lru_cache +def get_settings() -> Settings: + """Get cached settings instance. + + Returns: + Cached Settings instance loaded from environment. + + Raises: + ValidationError: If required environment variables are not set. + """ + return _load_settings() diff --git a/src/noteflow/core/__init__.py b/src/noteflow/core/__init__.py new file mode 100644 index 0000000..012f949 --- /dev/null +++ b/src/noteflow/core/__init__.py @@ -0,0 +1 @@ +"""Core types and protocols for NoteFlow.""" diff --git a/src/noteflow/domain/__init__.py b/src/noteflow/domain/__init__.py new file mode 100644 index 0000000..e424ab4 --- /dev/null +++ b/src/noteflow/domain/__init__.py @@ -0,0 +1,5 @@ +"""NoteFlow domain layer.""" + +from .value_objects import AnnotationId, AnnotationType, MeetingId, MeetingState + +__all__ = ["AnnotationId", "AnnotationType", "MeetingId", "MeetingState"] diff --git a/src/noteflow/domain/__pycache__/__init__.cpython-312.pyc b/src/noteflow/domain/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..a017b02 Binary files /dev/null and b/src/noteflow/domain/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/domain/__pycache__/value_objects.cpython-312.pyc b/src/noteflow/domain/__pycache__/value_objects.cpython-312.pyc new file mode 100644 index 0000000..d5e7ca8 Binary files /dev/null and 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/dev/null and b/src/noteflow/domain/entities/__pycache__/summary.cpython-312.pyc differ diff --git a/src/noteflow/domain/entities/annotation.py b/src/noteflow/domain/entities/annotation.py new file mode 100644 index 0000000..a2eaf97 --- /dev/null +++ b/src/noteflow/domain/entities/annotation.py @@ -0,0 +1,51 @@ +"""Annotation entity for user-created annotations during recording. + +Distinct from LLM-extracted ActionItem/KeyPoint in summaries. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from datetime import datetime +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from noteflow.domain.value_objects import AnnotationId, AnnotationType, MeetingId + + +@dataclass +class Annotation: + """User-created annotation during recording. + + Evidence-linked to specific transcript segments for navigation. + Unlike ActionItem/KeyPoint (LLM-extracted from Summary), annotations + are created in real-time during recording and belong directly to Meeting. + """ + + id: AnnotationId + meeting_id: MeetingId + annotation_type: AnnotationType + text: str + start_time: float + end_time: float + segment_ids: list[int] = field(default_factory=list) + created_at: datetime = field(default_factory=datetime.now) + + # Database primary key (set after persistence) + db_id: int | None = None + + def __post_init__(self) -> None: + """Validate annotation data.""" + if self.end_time < self.start_time: + raise ValueError( + f"end_time ({self.end_time}) must be >= start_time ({self.start_time})" + ) + + @property + def duration(self) -> float: + """Annotation duration in seconds.""" + return self.end_time - self.start_time + + def has_segments(self) -> bool: + """Check if annotation is linked to transcript segments.""" + return len(self.segment_ids) > 0 diff --git a/src/noteflow/domain/entities/meeting.py b/src/noteflow/domain/entities/meeting.py new file mode 100644 index 0000000..2a94146 --- /dev/null +++ b/src/noteflow/domain/entities/meeting.py @@ -0,0 +1,203 @@ +"""Meeting aggregate root entity.""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from datetime import datetime +from typing import TYPE_CHECKING +from uuid import UUID, uuid4 + +from noteflow.domain.value_objects import MeetingId, MeetingState + +if TYPE_CHECKING: + from noteflow.domain.entities.segment import Segment + from noteflow.domain.entities.summary import Summary + + +@dataclass +class Meeting: + """Meeting aggregate root. + + The central entity representing a recorded meeting with its + transcript segments and optional summary. + """ + + id: MeetingId + title: str + state: MeetingState = MeetingState.CREATED + created_at: datetime = field(default_factory=datetime.now) + started_at: datetime | None = None + ended_at: datetime | None = None + segments: list[Segment] = field(default_factory=list) + summary: Summary | None = None + metadata: dict[str, str] = field(default_factory=dict) + wrapped_dek: bytes | None = None # Encrypted data encryption key + + @classmethod + def create( + cls, + title: str = "", + metadata: dict[str, str] | None = None, + ) -> Meeting: + """Factory method to create a new meeting. + + Args: + title: Optional meeting title. + metadata: Optional metadata dictionary. + + Returns: + New Meeting instance. + """ + meeting_id = MeetingId(uuid4()) + now = datetime.now() + + if not title: + title = f"Meeting {now.strftime('%Y-%m-%d %H:%M')}" + + return cls( + id=meeting_id, + title=title, + state=MeetingState.CREATED, + created_at=now, + metadata=metadata or {}, + ) + + @classmethod + def from_uuid_str( + cls, + uuid_str: str, + title: str = "", + state: MeetingState = MeetingState.CREATED, + created_at: datetime | None = None, + started_at: datetime | None = None, + ended_at: datetime | None = None, + metadata: dict[str, str] | None = None, + wrapped_dek: bytes | None = None, + ) -> Meeting: + """Create meeting with existing UUID string. + + Args: + uuid_str: UUID string for meeting ID. + title: Meeting title. + state: Meeting state. + created_at: Creation timestamp. + started_at: Start timestamp. + ended_at: End timestamp. + metadata: Meeting metadata. + wrapped_dek: Encrypted data encryption key. + + Returns: + Meeting instance with specified ID. + """ + meeting_id = MeetingId(UUID(uuid_str)) + return cls( + id=meeting_id, + title=title, + state=state, + created_at=created_at or datetime.now(), + started_at=started_at, + ended_at=ended_at, + metadata=metadata or {}, + wrapped_dek=wrapped_dek, + ) + + def start_recording(self) -> None: + """Transition to recording state. + + Raises: + ValueError: If transition is not valid. + """ + if not self.state.can_transition_to(MeetingState.RECORDING): + raise ValueError(f"Cannot start recording from state {self.state.name}") + self.state = MeetingState.RECORDING + self.started_at = datetime.now() + + def begin_stopping(self) -> None: + """Transition to stopping state for graceful shutdown. + + This intermediate state allows audio writers and other resources + to flush and close properly before the meeting is fully stopped. + + Raises: + ValueError: If transition is not valid. + """ + if not self.state.can_transition_to(MeetingState.STOPPING): + raise ValueError(f"Cannot begin stopping from state {self.state.name}") + self.state = MeetingState.STOPPING + + def stop_recording(self) -> None: + """Transition to stopped state (from STOPPING). + + Raises: + ValueError: If transition is not valid. + """ + if not self.state.can_transition_to(MeetingState.STOPPED): + raise ValueError(f"Cannot stop recording from state {self.state.name}") + self.state = MeetingState.STOPPED + if self.ended_at is None: + self.ended_at = datetime.now() + + def complete(self) -> None: + """Transition to completed state. + + Raises: + ValueError: If transition is not valid. + """ + if not self.state.can_transition_to(MeetingState.COMPLETED): + raise ValueError(f"Cannot complete from state {self.state.name}") + self.state = MeetingState.COMPLETED + + def mark_error(self) -> None: + """Transition to error state.""" + self.state = MeetingState.ERROR + + def add_segment(self, segment: Segment) -> None: + """Add a transcript segment. + + Args: + segment: Segment to add. + """ + self.segments.append(segment) + + def set_summary(self, summary: Summary) -> None: + """Set the meeting summary. + + Args: + summary: Summary to set. + """ + self.summary = summary + + @property + def duration_seconds(self) -> float: + """Calculate meeting duration in seconds.""" + if self.ended_at and self.started_at: + return (self.ended_at - self.started_at).total_seconds() + if self.started_at: + return (datetime.now() - self.started_at).total_seconds() + return 0.0 + + @property + def next_segment_id(self) -> int: + """Get the next available segment ID.""" + return max(s.segment_id for s in self.segments) + 1 if self.segments else 0 + + @property + def segment_count(self) -> int: + """Number of transcript segments.""" + return len(self.segments) + + @property + def full_transcript(self) -> str: + """Concatenate all segment text.""" + return " ".join(s.text for s in self.segments) + + def is_active(self) -> bool: + """Check if meeting is in an active state (created or recording). + + Note: STOPPING is not considered active as it's transitioning to stopped. + """ + return self.state in (MeetingState.CREATED, MeetingState.RECORDING) + + def has_summary(self) -> bool: + """Check if meeting has a summary.""" + return self.summary is not None diff --git a/src/noteflow/domain/entities/segment.py b/src/noteflow/domain/entities/segment.py new file mode 100644 index 0000000..34cd0cb --- /dev/null +++ b/src/noteflow/domain/entities/segment.py @@ -0,0 +1,75 @@ +"""Segment entity for transcript segments.""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from noteflow.domain.value_objects import MeetingId + + +@dataclass +class WordTiming: + """Word-level timing information within a segment.""" + + word: str + start_time: float + end_time: float + probability: float + + def __post_init__(self) -> None: + """Validate word timing.""" + if self.end_time < self.start_time: + raise ValueError( + f"end_time ({self.end_time}) must be >= start_time ({self.start_time})" + ) + if not 0.0 <= self.probability <= 1.0: + raise ValueError(f"probability must be between 0 and 1, got {self.probability}") + + +@dataclass +class Segment: + """Transcript segment entity. + + Represents a finalized segment of transcribed speech with optional + word-level timing information and language detection. + """ + + segment_id: int + text: str + start_time: float + end_time: float + meeting_id: MeetingId | None = None + words: list[WordTiming] = field(default_factory=list) + language: str = "en" + language_confidence: float = 0.0 + avg_logprob: float = 0.0 + no_speech_prob: float = 0.0 + embedding: list[float] | None = None + + # Database primary key (set after persistence) + db_id: int | None = None + + def __post_init__(self) -> None: + """Validate segment data.""" + if self.end_time < self.start_time: + raise ValueError( + f"end_time ({self.end_time}) must be >= start_time ({self.start_time})" + ) + if self.segment_id < 0: + raise ValueError(f"segment_id must be non-negative, got {self.segment_id}") + + @property + def duration(self) -> float: + """Segment duration in seconds.""" + return self.end_time - self.start_time + + @property + def word_count(self) -> int: + """Number of words in segment.""" + return len(self.words) if self.words else len(self.text.split()) + + def has_embedding(self) -> bool: + """Check if segment has a computed embedding.""" + return self.embedding is not None and len(self.embedding) > 0 diff --git a/src/noteflow/domain/entities/summary.py b/src/noteflow/domain/entities/summary.py new file mode 100644 index 0000000..71cd7ec --- /dev/null +++ b/src/noteflow/domain/entities/summary.py @@ -0,0 +1,110 @@ +"""Summary-related entities for meeting summaries.""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from datetime import datetime +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from noteflow.domain.value_objects import MeetingId + + +@dataclass +class KeyPoint: + """A key point extracted from the meeting. + + Evidence-linked to specific transcript segments for verification. + """ + + text: str + segment_ids: list[int] = field(default_factory=list) + start_time: float = 0.0 + end_time: float = 0.0 + + # Database primary key (set after persistence) + db_id: int | None = None + + def has_evidence(self) -> bool: + """Check if key point is backed by transcript evidence.""" + return len(self.segment_ids) > 0 + + +@dataclass +class ActionItem: + """An action item extracted from the meeting. + + Evidence-linked to specific transcript segments for verification. + """ + + text: str + assignee: str = "" + due_date: datetime | None = None + priority: int = 0 # 0=unspecified, 1=low, 2=medium, 3=high + segment_ids: list[int] = field(default_factory=list) + + # Database primary key (set after persistence) + db_id: int | None = None + + def has_evidence(self) -> bool: + """Check if action item is backed by transcript evidence.""" + return len(self.segment_ids) > 0 + + def is_assigned(self) -> bool: + """Check if action item has an assignee.""" + return bool(self.assignee) + + def has_due_date(self) -> bool: + """Check if action item has a due date.""" + return self.due_date is not None + + +@dataclass +class Summary: + """Meeting summary entity. + + Contains executive summary, key points, and action items, + all evidence-linked to transcript segments. + """ + + meeting_id: MeetingId + executive_summary: str = "" + key_points: list[KeyPoint] = field(default_factory=list) + action_items: list[ActionItem] = field(default_factory=list) + generated_at: datetime | None = None + model_version: str = "" + + # Database primary key (set after persistence) + db_id: int | None = None + + def all_points_have_evidence(self) -> bool: + """Check if all key points have transcript evidence.""" + return all(kp.has_evidence() for kp in self.key_points) + + def all_actions_have_evidence(self) -> bool: + """Check if all action items have transcript evidence.""" + return all(ai.has_evidence() for ai in self.action_items) + + def is_fully_evidenced(self) -> bool: + """Check if entire summary is backed by transcript evidence.""" + return self.all_points_have_evidence() and self.all_actions_have_evidence() + + @property + def key_point_count(self) -> int: + """Number of key points.""" + return len(self.key_points) + + @property + def action_item_count(self) -> int: + """Number of action items.""" + return len(self.action_items) + + @property + def unevidenced_points(self) -> list[KeyPoint]: + """Key points without transcript evidence.""" + return [kp for kp in self.key_points if not kp.has_evidence()] + + @property + def unevidenced_actions(self) -> list[ActionItem]: + """Action items without transcript evidence.""" + return [ai for ai in self.action_items if not ai.has_evidence()] diff --git a/src/noteflow/domain/ports/__init__.py b/src/noteflow/domain/ports/__init__.py new file mode 100644 index 0000000..3020981 --- /dev/null +++ b/src/noteflow/domain/ports/__init__.py @@ -0,0 +1,17 @@ +"""Domain ports (interfaces) for NoteFlow.""" + +from .repositories import ( + AnnotationRepository, + MeetingRepository, + SegmentRepository, + SummaryRepository, +) +from .unit_of_work import UnitOfWork + +__all__ = [ + "AnnotationRepository", + "MeetingRepository", + "SegmentRepository", + "SummaryRepository", + "UnitOfWork", +] diff --git a/src/noteflow/domain/ports/__pycache__/__init__.cpython-312.pyc b/src/noteflow/domain/ports/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..fd336cc Binary files /dev/null and b/src/noteflow/domain/ports/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/domain/ports/__pycache__/repositories.cpython-312.pyc b/src/noteflow/domain/ports/__pycache__/repositories.cpython-312.pyc new file mode 100644 index 0000000..b25f489 Binary files /dev/null and b/src/noteflow/domain/ports/__pycache__/repositories.cpython-312.pyc differ diff --git a/src/noteflow/domain/ports/__pycache__/unit_of_work.cpython-312.pyc b/src/noteflow/domain/ports/__pycache__/unit_of_work.cpython-312.pyc new file mode 100644 index 0000000..2e6e210 Binary files /dev/null and b/src/noteflow/domain/ports/__pycache__/unit_of_work.cpython-312.pyc differ diff --git a/src/noteflow/domain/ports/repositories.py b/src/noteflow/domain/ports/repositories.py new file mode 100644 index 0000000..9956d71 --- /dev/null +++ b/src/noteflow/domain/ports/repositories.py @@ -0,0 +1,300 @@ +"""Repository protocol interfaces for persistence.""" + +from __future__ import annotations + +from collections.abc import Sequence +from typing import TYPE_CHECKING, Protocol + +if TYPE_CHECKING: + from noteflow.domain.entities import Annotation, Meeting, Segment, Summary + from noteflow.domain.value_objects import AnnotationId, MeetingId, MeetingState + + +class MeetingRepository(Protocol): + """Repository protocol for Meeting aggregate operations.""" + + async def create(self, meeting: Meeting) -> Meeting: + """Persist a new meeting. + + Args: + meeting: Meeting to create. + + Returns: + Created meeting with any generated fields populated. + """ + ... + + async def get(self, meeting_id: MeetingId) -> Meeting | None: + """Retrieve a meeting by ID. + + Args: + meeting_id: Meeting identifier. + + Returns: + Meeting if found, None otherwise. + """ + ... + + async def update(self, meeting: Meeting) -> Meeting: + """Update an existing meeting. + + Args: + meeting: Meeting with updated fields. + + Returns: + Updated meeting. + + Raises: + ValueError: If meeting does not exist. + """ + ... + + async def delete(self, meeting_id: MeetingId) -> bool: + """Delete a meeting and all associated data. + + Args: + meeting_id: Meeting identifier. + + Returns: + True if deleted, False if not found. + """ + ... + + async def list_all( + self, + states: list[MeetingState] | None = None, + limit: int = 100, + offset: int = 0, + sort_desc: bool = True, + ) -> tuple[Sequence[Meeting], int]: + """List meetings with optional filtering. + + Args: + states: Optional list of states to filter by. + limit: Maximum number of meetings to return. + offset: Number of meetings to skip. + sort_desc: Sort by created_at descending if True. + + Returns: + Tuple of (meetings list, total count matching filter). + """ + ... + + async def count_by_state(self, state: MeetingState) -> int: + """Count meetings in a specific state. + + Args: + state: Meeting state to count. + + Returns: + Number of meetings in the specified state. + """ + ... + + +class SegmentRepository(Protocol): + """Repository protocol for Segment operations.""" + + async def add(self, meeting_id: MeetingId, segment: Segment) -> Segment: + """Add a segment to a meeting. + + Args: + meeting_id: Meeting identifier. + segment: Segment to add. + + Returns: + Added segment with db_id populated. + + Raises: + ValueError: If meeting does not exist. + """ + ... + + async def add_batch( + self, + meeting_id: MeetingId, + segments: Sequence[Segment], + ) -> Sequence[Segment]: + """Add multiple segments to a meeting in batch. + + Args: + meeting_id: Meeting identifier. + segments: Segments to add. + + Returns: + Added segments with db_ids populated. + + Raises: + ValueError: If meeting does not exist. + """ + ... + + async def get_by_meeting( + self, + meeting_id: MeetingId, + include_words: bool = True, + ) -> Sequence[Segment]: + """Get all segments for a meeting. + + Args: + meeting_id: Meeting identifier. + include_words: Include word-level timing. + + Returns: + List of segments ordered by segment_id. + """ + ... + + async def search_semantic( + self, + query_embedding: list[float], + limit: int = 10, + meeting_id: MeetingId | None = None, + ) -> Sequence[tuple[Segment, float]]: + """Search segments by semantic similarity. + + Args: + query_embedding: Query embedding vector. + limit: Maximum number of results. + meeting_id: Optional meeting to restrict search to. + + Returns: + List of (segment, similarity_score) tuples. + """ + ... + + async def update_embedding( + self, + segment_db_id: int, + embedding: list[float], + ) -> None: + """Update the embedding for a segment. + + Args: + segment_db_id: Segment database primary key. + embedding: New embedding vector. + """ + ... + + +class SummaryRepository(Protocol): + """Repository protocol for Summary operations.""" + + async def save(self, summary: Summary) -> Summary: + """Save or update a meeting summary. + + Args: + summary: Summary to save. + + Returns: + Saved summary with db_id populated. + """ + ... + + async def get_by_meeting(self, meeting_id: MeetingId) -> Summary | None: + """Get summary for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + Summary if exists, None otherwise. + """ + ... + + async def delete_by_meeting(self, meeting_id: MeetingId) -> bool: + """Delete summary for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + True if deleted, False if not found. + """ + ... + + +class AnnotationRepository(Protocol): + """Repository protocol for Annotation operations.""" + + async def add(self, annotation: Annotation) -> Annotation: + """Add an annotation to a meeting. + + Args: + annotation: Annotation to add. + + Returns: + Added annotation with db_id populated. + + Raises: + ValueError: If meeting does not exist. + """ + ... + + async def get(self, annotation_id: AnnotationId) -> Annotation | None: + """Retrieve an annotation by ID. + + Args: + annotation_id: Annotation identifier. + + Returns: + Annotation if found, None otherwise. + """ + ... + + async def get_by_meeting( + self, + meeting_id: MeetingId, + ) -> Sequence[Annotation]: + """Get all annotations for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + List of annotations ordered by start_time. + """ + ... + + async def get_by_time_range( + self, + meeting_id: MeetingId, + start_time: float, + end_time: float, + ) -> Sequence[Annotation]: + """Get annotations within a time range. + + Args: + meeting_id: Meeting identifier. + start_time: Start of time range in seconds. + end_time: End of time range in seconds. + + Returns: + List of annotations overlapping the time range. + """ + ... + + async def update(self, annotation: Annotation) -> Annotation: + """Update an existing annotation. + + Args: + annotation: Annotation with updated fields. + + Returns: + Updated annotation. + + Raises: + ValueError: If annotation does not exist. + """ + ... + + async def delete(self, annotation_id: AnnotationId) -> bool: + """Delete an annotation. + + Args: + annotation_id: Annotation identifier. + + Returns: + True if deleted, False if not found. + """ + ... diff --git a/src/noteflow/domain/ports/unit_of_work.py b/src/noteflow/domain/ports/unit_of_work.py new file mode 100644 index 0000000..24c9ae6 --- /dev/null +++ b/src/noteflow/domain/ports/unit_of_work.py @@ -0,0 +1,71 @@ +"""Unit of Work protocol for transaction management.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Protocol, Self + +if TYPE_CHECKING: + from .repositories import ( + AnnotationRepository, + MeetingRepository, + SegmentRepository, + SummaryRepository, + ) + + +class UnitOfWork(Protocol): + """Unit of Work protocol for managing transactions across repositories. + + Provides transactional consistency when operating on multiple + aggregates. Use as a context manager for automatic commit/rollback. + + Example: + async with uow: + meeting = await uow.meetings.get(meeting_id) + await uow.segments.add(meeting_id, segment) + await uow.commit() + """ + + annotations: AnnotationRepository + meetings: MeetingRepository + segments: SegmentRepository + summaries: SummaryRepository + + async def __aenter__(self) -> Self: + """Enter the unit of work context. + + Returns: + Self for use in async with statement. + """ + ... + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: object, + ) -> None: + """Exit the unit of work context. + + Rolls back on exception, otherwise commits. + + Args: + exc_type: Exception type if raised. + exc_val: Exception value if raised. + exc_tb: Exception traceback if raised. + """ + ... + + async def commit(self) -> None: + """Commit the current transaction. + + Persists all changes made within the unit of work. + """ + ... + + async def rollback(self) -> None: + """Rollback the current transaction. + + Discards all changes made within the unit of work. + """ + ... diff --git a/src/noteflow/domain/value_objects.py b/src/noteflow/domain/value_objects.py new file mode 100644 index 0000000..ce33f66 --- /dev/null +++ b/src/noteflow/domain/value_objects.py @@ -0,0 +1,80 @@ +"""Domain value objects for NoteFlow.""" + +from __future__ import annotations + +from enum import Enum, IntEnum +from typing import NewType +from uuid import UUID + +# Type-safe identifiers +MeetingId = NewType("MeetingId", UUID) +AnnotationId = NewType("AnnotationId", UUID) + + +class AnnotationType(Enum): + """User annotation type. + + Used to categorize user-created annotations during recording. + Distinct from LLM-extracted ActionItem/KeyPoint in summaries. + """ + + ACTION_ITEM = "action_item" + DECISION = "decision" + NOTE = "note" + + +class MeetingState(IntEnum): + """Meeting lifecycle state. + + State transitions: + CREATED -> RECORDING -> STOPPING -> STOPPED -> COMPLETED + Any state -> ERROR (on failure) + + The STOPPING state allows graceful shutdown with audio flush operations. + """ + + UNSPECIFIED = 0 + CREATED = 1 + RECORDING = 2 + STOPPED = 3 + COMPLETED = 4 + ERROR = 5 + STOPPING = 6 # Intermediate state for graceful shutdown + + @classmethod + def from_int(cls, value: int) -> MeetingState: + """Convert integer to MeetingState. + + Args: + value: Integer value. + + Returns: + Corresponding MeetingState. + + Raises: + ValueError: If value is not a valid state. + """ + try: + return cls(value) + except ValueError as e: + raise ValueError(f"Invalid meeting state: {value}") from e + + def can_transition_to(self, target: MeetingState) -> bool: + """Check if transition to target state is valid. + + Args: + target: Target state. + + Returns: + True if transition is valid. + """ + valid_transitions: dict[MeetingState, set[MeetingState]] = { + MeetingState.UNSPECIFIED: {MeetingState.CREATED}, + MeetingState.CREATED: {MeetingState.RECORDING, MeetingState.ERROR}, + MeetingState.RECORDING: {MeetingState.STOPPING, MeetingState.ERROR}, + MeetingState.STOPPING: {MeetingState.STOPPED, MeetingState.ERROR}, + MeetingState.STOPPED: {MeetingState.COMPLETED, MeetingState.ERROR}, + MeetingState.COMPLETED: {MeetingState.ERROR}, + MeetingState.ERROR: set(), # Terminal state + } + return target in valid_transitions.get(self, set()) diff --git a/src/noteflow/grpc/__init__.py b/src/noteflow/grpc/__init__.py new file mode 100644 index 0000000..ccd4be3 --- /dev/null +++ b/src/noteflow/grpc/__init__.py @@ -0,0 +1,26 @@ +"""NoteFlow gRPC server and client components.""" + +from noteflow.domain.value_objects import MeetingState + +from .client import ( + AnnotationInfo, + ExportResult, + MeetingInfo, + NoteFlowClient, + ServerInfo, + TranscriptSegment, +) +from .meeting_store import MeetingStore +from .service import NoteFlowServicer + +__all__ = [ + "AnnotationInfo", + "ExportResult", + "MeetingInfo", + "MeetingState", + "MeetingStore", + "NoteFlowClient", + "NoteFlowServicer", + "ServerInfo", + "TranscriptSegment", +] diff --git a/src/noteflow/grpc/__pycache__/__init__.cpython-312.pyc b/src/noteflow/grpc/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..bcd2bae Binary files /dev/null and b/src/noteflow/grpc/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/grpc/__pycache__/client.cpython-312.pyc b/src/noteflow/grpc/__pycache__/client.cpython-312.pyc new file mode 100644 index 0000000..1e3baf6 Binary files /dev/null and b/src/noteflow/grpc/__pycache__/client.cpython-312.pyc differ diff --git a/src/noteflow/grpc/__pycache__/meeting_store.cpython-312.pyc b/src/noteflow/grpc/__pycache__/meeting_store.cpython-312.pyc new file mode 100644 index 0000000..0830c6a Binary files /dev/null and b/src/noteflow/grpc/__pycache__/meeting_store.cpython-312.pyc differ diff --git a/src/noteflow/grpc/__pycache__/service.cpython-312.pyc b/src/noteflow/grpc/__pycache__/service.cpython-312.pyc new file mode 100644 index 0000000..db07cdb Binary files /dev/null and b/src/noteflow/grpc/__pycache__/service.cpython-312.pyc differ diff --git a/src/noteflow/grpc/client.py b/src/noteflow/grpc/client.py new file mode 100644 index 0000000..3ef8b35 --- /dev/null +++ b/src/noteflow/grpc/client.py @@ -0,0 +1,742 @@ +"""NoteFlow gRPC client for Flet app integration.""" + +from __future__ import annotations + +import logging +import queue +import threading +import time +from collections.abc import Callable, Iterator +from dataclasses import dataclass +from typing import TYPE_CHECKING, Final + +import grpc + +from .proto import noteflow_pb2, noteflow_pb2_grpc + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + +logger = logging.getLogger(__name__) + +DEFAULT_SERVER: Final[str] = "localhost:50051" +CHUNK_TIMEOUT: Final[float] = 0.1 # Timeout for getting chunks from queue + + +@dataclass +class TranscriptSegment: + """Transcript segment from server.""" + + segment_id: int + text: str + start_time: float + end_time: float + language: str + is_final: bool + + +@dataclass +class ServerInfo: + """Server information.""" + + version: str + asr_model: str + asr_ready: bool + uptime_seconds: float + active_meetings: int + + +@dataclass +class MeetingInfo: + """Meeting information.""" + + id: str + title: str + state: str + created_at: float + started_at: float + ended_at: float + duration_seconds: float + segment_count: int + + +@dataclass +class AnnotationInfo: + """Annotation information.""" + + id: str + meeting_id: str + annotation_type: str + text: str + start_time: float + end_time: float + segment_ids: list[int] + created_at: float + + +@dataclass +class ExportResult: + """Export result.""" + + content: str + format_name: str + file_extension: str + + +# Callback types +TranscriptCallback = Callable[[TranscriptSegment], None] +ConnectionCallback = Callable[[bool, str], None] + + +class NoteFlowClient: + """gRPC client for NoteFlow server. + + Provides async-safe methods for Flet app integration. + """ + + def __init__( + self, + server_address: str = DEFAULT_SERVER, + on_transcript: TranscriptCallback | None = None, + on_connection_change: ConnectionCallback | None = None, + ) -> None: + """Initialize the client. + + Args: + server_address: Server address (host:port). + on_transcript: Callback for transcript updates. + on_connection_change: Callback for connection state changes. + """ + self._server_address = server_address + self._on_transcript = on_transcript + self._on_connection_change = on_connection_change + + self._channel: grpc.Channel | None = None + self._stub: noteflow_pb2_grpc.NoteFlowServiceStub | None = None + self._connected = False + + # Streaming state + self._stream_thread: threading.Thread | None = None + self._audio_queue: queue.Queue[tuple[str, NDArray[np.float32], float]] = queue.Queue() + self._stop_streaming = threading.Event() + self._current_meeting_id: str | None = None + + @property + def connected(self) -> bool: + """Check if connected to server.""" + return self._connected + + @property + def server_address(self) -> str: + """Get server address.""" + return self._server_address + + def connect(self, timeout: float = 5.0) -> bool: + """Connect to the server. + + Args: + timeout: Connection timeout in seconds. + + Returns: + True if connected successfully. + """ + try: + self._channel = grpc.insecure_channel( + self._server_address, + options=[ + ("grpc.max_send_message_length", 100 * 1024 * 1024), + ("grpc.max_receive_message_length", 100 * 1024 * 1024), + ], + ) + + # Wait for channel to be ready + grpc.channel_ready_future(self._channel).result(timeout=timeout) + + self._stub = noteflow_pb2_grpc.NoteFlowServiceStub(self._channel) + self._connected = True + + logger.info("Connected to server at %s", self._server_address) + self._notify_connection(True, "Connected") + + return True + + except grpc.FutureTimeoutError: + logger.error("Connection timeout: %s", self._server_address) + self._notify_connection(False, "Connection timeout") + return False + except grpc.RpcError as e: + logger.error("Connection failed: %s", e) + self._notify_connection(False, str(e)) + return False + + def disconnect(self) -> None: + """Disconnect from the server.""" + self.stop_streaming() + + if self._channel: + self._channel.close() + self._channel = None + self._stub = None + + self._connected = False + logger.info("Disconnected from server") + self._notify_connection(False, "Disconnected") + + def get_server_info(self) -> ServerInfo | None: + """Get server information. + + Returns: + ServerInfo or None if request fails. + """ + if not self._stub: + return None + + try: + response = self._stub.GetServerInfo(noteflow_pb2.ServerInfoRequest()) + return ServerInfo( + version=response.version, + asr_model=response.asr_model, + asr_ready=response.asr_ready, + uptime_seconds=response.uptime_seconds, + active_meetings=response.active_meetings, + ) + except grpc.RpcError as e: + logger.error("Failed to get server info: %s", e) + return None + + def create_meeting(self, title: str = "") -> MeetingInfo | None: + """Create a new meeting. + + Args: + title: Optional meeting title. + + Returns: + MeetingInfo or None if request fails. + """ + if not self._stub: + return None + + try: + request = noteflow_pb2.CreateMeetingRequest(title=title) + response = self._stub.CreateMeeting(request) + return self._proto_to_meeting_info(response) + except grpc.RpcError as e: + logger.error("Failed to create meeting: %s", e) + return None + + def stop_meeting(self, meeting_id: str) -> MeetingInfo | None: + """Stop a meeting. + + Args: + meeting_id: Meeting ID. + + Returns: + Updated MeetingInfo or None if request fails. + """ + if not self._stub: + return None + + try: + request = noteflow_pb2.StopMeetingRequest(meeting_id=meeting_id) + response = self._stub.StopMeeting(request) + return self._proto_to_meeting_info(response) + except grpc.RpcError as e: + logger.error("Failed to stop meeting: %s", e) + return None + + def get_meeting(self, meeting_id: str) -> MeetingInfo | None: + """Get meeting details. + + Args: + meeting_id: Meeting ID. + + Returns: + MeetingInfo or None if not found. + """ + if not self._stub: + return None + + try: + request = noteflow_pb2.GetMeetingRequest( + meeting_id=meeting_id, + include_segments=False, + include_summary=False, + ) + response = self._stub.GetMeeting(request) + return self._proto_to_meeting_info(response) + except grpc.RpcError as e: + logger.error("Failed to get meeting: %s", e) + return None + + def list_meetings(self, limit: int = 20) -> list[MeetingInfo]: + """List recent meetings. + + Args: + limit: Maximum number to return. + + Returns: + List of MeetingInfo. + """ + if not self._stub: + return [] + + try: + request = noteflow_pb2.ListMeetingsRequest( + limit=limit, + sort_order=noteflow_pb2.SORT_ORDER_CREATED_DESC, + ) + response = self._stub.ListMeetings(request) + return [self._proto_to_meeting_info(m) for m in response.meetings] + except grpc.RpcError as e: + logger.error("Failed to list meetings: %s", e) + return [] + + def start_streaming(self, meeting_id: str) -> bool: + """Start streaming audio for a meeting. + + Args: + meeting_id: Meeting ID to stream to. + + Returns: + True if streaming started. + """ + if not self._stub: + logger.error("Not connected") + return False + + if self._stream_thread and self._stream_thread.is_alive(): + logger.warning("Already streaming") + return False + + self._current_meeting_id = meeting_id + self._stop_streaming.clear() + + # Clear any pending audio + while not self._audio_queue.empty(): + try: + self._audio_queue.get_nowait() + except queue.Empty: + break + + # Start streaming thread + self._stream_thread = threading.Thread( + target=self._stream_worker, + daemon=True, + ) + self._stream_thread.start() + + logger.info("Started streaming for meeting %s", meeting_id) + return True + + def stop_streaming(self) -> None: + """Stop streaming audio.""" + self._stop_streaming.set() + + if self._stream_thread: + self._stream_thread.join(timeout=2.0) + self._stream_thread = None + + self._current_meeting_id = None + logger.info("Stopped streaming") + + def send_audio( + self, + audio: NDArray[np.float32], + timestamp: float | None = None, + ) -> None: + """Send audio chunk to server. + + Non-blocking - queues audio for streaming thread. + + Args: + audio: Audio samples (float32, mono, 16kHz). + timestamp: Optional capture timestamp. + """ + if not self._current_meeting_id: + return + + if timestamp is None: + timestamp = time.time() + + self._audio_queue.put( + ( + self._current_meeting_id, + audio, + timestamp, + ) + ) + + def _stream_worker(self) -> None: + """Background thread for audio streaming.""" + if not self._stub: + return + + def audio_generator() -> Iterator[noteflow_pb2.AudioChunk]: + """Generate audio chunks from queue.""" + while not self._stop_streaming.is_set(): + try: + meeting_id, audio, timestamp = self._audio_queue.get( + timeout=CHUNK_TIMEOUT, + ) + yield noteflow_pb2.AudioChunk( + meeting_id=meeting_id, + audio_data=audio.tobytes(), + timestamp=timestamp, + sample_rate=16000, + channels=1, + ) + except queue.Empty: + continue + + try: + # Start bidirectional stream + responses = self._stub.StreamTranscription(audio_generator()) + + # Process responses + for response in responses: + if self._stop_streaming.is_set(): + break + + if response.update_type == noteflow_pb2.UPDATE_TYPE_FINAL: + segment = TranscriptSegment( + segment_id=response.segment.segment_id, + text=response.segment.text, + start_time=response.segment.start_time, + end_time=response.segment.end_time, + language=response.segment.language, + is_final=True, + ) + self._notify_transcript(segment) + + elif response.update_type == noteflow_pb2.UPDATE_TYPE_PARTIAL: + segment = TranscriptSegment( + segment_id=0, + text=response.partial_text, + start_time=0, + end_time=0, + language="", + is_final=False, + ) + self._notify_transcript(segment) + + except grpc.RpcError as e: + logger.error("Stream error: %s", e) + self._notify_connection(False, f"Stream error: {e}") + + def _notify_transcript(self, segment: TranscriptSegment) -> None: + """Notify transcript callback. + + Args: + segment: Transcript segment. + """ + if self._on_transcript: + try: + self._on_transcript(segment) + except Exception as e: + logger.error("Transcript callback error: %s", e) + + def _notify_connection(self, connected: bool, message: str) -> None: + """Notify connection callback. + + Args: + connected: Connection state. + message: Status message. + """ + if self._on_connection_change: + try: + self._on_connection_change(connected, message) + except Exception as e: + logger.error("Connection callback error: %s", e) + + @staticmethod + def _proto_to_meeting_info(meeting: noteflow_pb2.Meeting) -> MeetingInfo: + """Convert proto Meeting to MeetingInfo. + + Args: + meeting: Proto meeting. + + Returns: + MeetingInfo dataclass. + """ + state_map = { + noteflow_pb2.MEETING_STATE_UNSPECIFIED: "unknown", + noteflow_pb2.MEETING_STATE_CREATED: "created", + noteflow_pb2.MEETING_STATE_RECORDING: "recording", + noteflow_pb2.MEETING_STATE_STOPPED: "stopped", + noteflow_pb2.MEETING_STATE_COMPLETED: "completed", + noteflow_pb2.MEETING_STATE_ERROR: "error", + } + + return MeetingInfo( + id=meeting.id, + title=meeting.title, + state=state_map.get(meeting.state, "unknown"), + created_at=meeting.created_at, + started_at=meeting.started_at, + ended_at=meeting.ended_at, + duration_seconds=meeting.duration_seconds, + segment_count=len(meeting.segments), + ) + + # ========================================================================= + # Annotation Methods + # ========================================================================= + + def add_annotation( + self, + meeting_id: str, + annotation_type: str, + text: str, + start_time: float, + end_time: float, + segment_ids: list[int] | None = None, + ) -> AnnotationInfo | None: + """Add an annotation to a meeting. + + Args: + meeting_id: Meeting ID. + annotation_type: Type of annotation (action_item, decision, note). + text: Annotation text. + start_time: Start time in seconds. + end_time: End time in seconds. + segment_ids: Optional list of linked segment IDs. + + Returns: + AnnotationInfo or None if request fails. + """ + if not self._stub: + return None + + try: + proto_type = self._annotation_type_to_proto(annotation_type) + request = noteflow_pb2.AddAnnotationRequest( + meeting_id=meeting_id, + annotation_type=proto_type, + text=text, + start_time=start_time, + end_time=end_time, + segment_ids=segment_ids or [], + ) + response = self._stub.AddAnnotation(request) + return self._proto_to_annotation_info(response) + except grpc.RpcError as e: + logger.error("Failed to add annotation: %s", e) + return None + + def get_annotation(self, annotation_id: str) -> AnnotationInfo | None: + """Get an annotation by ID. + + Args: + annotation_id: Annotation ID. + + Returns: + AnnotationInfo or None if not found. + """ + if not self._stub: + return None + + try: + request = noteflow_pb2.GetAnnotationRequest(annotation_id=annotation_id) + response = self._stub.GetAnnotation(request) + return self._proto_to_annotation_info(response) + except grpc.RpcError as e: + logger.error("Failed to get annotation: %s", e) + return None + + def list_annotations( + self, + meeting_id: str, + start_time: float = 0, + end_time: float = 0, + ) -> list[AnnotationInfo]: + """List annotations for a meeting. + + Args: + meeting_id: Meeting ID. + start_time: Optional start time filter. + end_time: Optional end time filter. + + Returns: + List of AnnotationInfo. + """ + if not self._stub: + return [] + + try: + request = noteflow_pb2.ListAnnotationsRequest( + meeting_id=meeting_id, + start_time=start_time, + end_time=end_time, + ) + response = self._stub.ListAnnotations(request) + return [self._proto_to_annotation_info(a) for a in response.annotations] + except grpc.RpcError as e: + logger.error("Failed to list annotations: %s", e) + return [] + + def update_annotation( + self, + annotation_id: str, + annotation_type: str | None = None, + text: str | None = None, + start_time: float | None = None, + end_time: float | None = None, + segment_ids: list[int] | None = None, + ) -> AnnotationInfo | None: + """Update an existing annotation. + + Args: + annotation_id: Annotation ID. + annotation_type: Optional new type. + text: Optional new text. + start_time: Optional new start time. + end_time: Optional new end time. + segment_ids: Optional new segment IDs. + + Returns: + Updated AnnotationInfo or None if request fails. + """ + if not self._stub: + return None + + try: + proto_type = ( + self._annotation_type_to_proto(annotation_type) + if annotation_type + else noteflow_pb2.ANNOTATION_TYPE_UNSPECIFIED + ) + request = noteflow_pb2.UpdateAnnotationRequest( + annotation_id=annotation_id, + annotation_type=proto_type, + text=text or "", + start_time=start_time or 0, + end_time=end_time or 0, + segment_ids=segment_ids or [], + ) + response = self._stub.UpdateAnnotation(request) + return self._proto_to_annotation_info(response) + except grpc.RpcError as e: + logger.error("Failed to update annotation: %s", e) + return None + + def delete_annotation(self, annotation_id: str) -> bool: + """Delete an annotation. + + Args: + annotation_id: Annotation ID. + + Returns: + True if deleted successfully. + """ + if not self._stub: + return False + + try: + request = noteflow_pb2.DeleteAnnotationRequest(annotation_id=annotation_id) + response = self._stub.DeleteAnnotation(request) + return response.success + except grpc.RpcError as e: + logger.error("Failed to delete annotation: %s", e) + return False + + @staticmethod + def _proto_to_annotation_info( + annotation: noteflow_pb2.Annotation, + ) -> AnnotationInfo: + """Convert proto Annotation to AnnotationInfo. + + Args: + annotation: Proto annotation. + + Returns: + AnnotationInfo dataclass. + """ + type_map = { + noteflow_pb2.ANNOTATION_TYPE_UNSPECIFIED: "note", + noteflow_pb2.ANNOTATION_TYPE_ACTION_ITEM: "action_item", + noteflow_pb2.ANNOTATION_TYPE_DECISION: "decision", + noteflow_pb2.ANNOTATION_TYPE_NOTE: "note", + } + + return AnnotationInfo( + id=annotation.id, + meeting_id=annotation.meeting_id, + annotation_type=type_map.get(annotation.annotation_type, "note"), + text=annotation.text, + start_time=annotation.start_time, + end_time=annotation.end_time, + segment_ids=list(annotation.segment_ids), + created_at=annotation.created_at, + ) + + @staticmethod + def _annotation_type_to_proto(annotation_type: str) -> int: + """Convert annotation type string to proto enum. + + Args: + annotation_type: Type string. + + Returns: + Proto enum value. + """ + type_map = { + "action_item": noteflow_pb2.ANNOTATION_TYPE_ACTION_ITEM, + "decision": noteflow_pb2.ANNOTATION_TYPE_DECISION, + "note": noteflow_pb2.ANNOTATION_TYPE_NOTE, + } + return type_map.get(annotation_type, noteflow_pb2.ANNOTATION_TYPE_NOTE) + + # ========================================================================= + # Export Methods + # ========================================================================= + + def export_transcript( + self, + meeting_id: str, + format_name: str = "markdown", + ) -> ExportResult | None: + """Export meeting transcript. + + Args: + meeting_id: Meeting ID. + format_name: Export format (markdown, html). + + Returns: + ExportResult or None if request fails. + """ + if not self._stub: + return None + + try: + proto_format = self._export_format_to_proto(format_name) + request = noteflow_pb2.ExportTranscriptRequest( + meeting_id=meeting_id, + format=proto_format, + ) + response = self._stub.ExportTranscript(request) + return ExportResult( + content=response.content, + format_name=response.format_name, + file_extension=response.file_extension, + ) + except grpc.RpcError as e: + logger.error("Failed to export transcript: %s", e) + return None + + @staticmethod + def _export_format_to_proto(format_name: str) -> int: + """Convert export format string to proto enum. + + Args: + format_name: Format string. + + Returns: + Proto enum value. + """ + format_map = { + "markdown": noteflow_pb2.EXPORT_FORMAT_MARKDOWN, + "md": noteflow_pb2.EXPORT_FORMAT_MARKDOWN, + "html": noteflow_pb2.EXPORT_FORMAT_HTML, + } + return format_map.get(format_name.lower(), noteflow_pb2.EXPORT_FORMAT_MARKDOWN) diff --git a/src/noteflow/grpc/meeting_store.py b/src/noteflow/grpc/meeting_store.py new file mode 100644 index 0000000..e31829b --- /dev/null +++ b/src/noteflow/grpc/meeting_store.py @@ -0,0 +1,165 @@ +"""In-memory meeting storage for the NoteFlow gRPC server. + +Provides thread-safe in-memory storage using domain entities directly. +Used as fallback when no database is configured. +""" + +from __future__ import annotations + +import threading +from typing import TYPE_CHECKING + +from noteflow.domain.entities import Meeting, Segment, Summary +from noteflow.domain.value_objects import MeetingState + +if TYPE_CHECKING: + from collections.abc import Sequence + + +class MeetingStore: + """Thread-safe in-memory meeting storage using domain entities.""" + + def __init__(self) -> None: + """Initialize the store.""" + self._meetings: dict[str, Meeting] = {} + self._lock = threading.RLock() + + def create( + self, + title: str = "", + metadata: dict[str, str] | None = None, + ) -> Meeting: + """Create a new meeting. + + Args: + title: Optional meeting title. + metadata: Optional metadata. + + Returns: + Created meeting. + """ + meeting = Meeting.create(title=title or "Untitled Meeting", metadata=metadata or {}) + + with self._lock: + self._meetings[str(meeting.id)] = meeting + + return meeting + + def get(self, meeting_id: str) -> Meeting | None: + """Get a meeting by ID. + + Args: + meeting_id: Meeting ID string. + + Returns: + Meeting or None if not found. + """ + with self._lock: + return self._meetings.get(meeting_id) + + def list_all( + self, + states: Sequence[MeetingState] | None = None, + limit: int = 100, + offset: int = 0, + sort_desc: bool = True, + ) -> tuple[list[Meeting], int]: + """List meetings with optional filtering. + + Args: + states: Optional list of states to filter by. + limit: Maximum number of meetings to return. + offset: Number of meetings to skip. + sort_desc: Sort by created_at descending if True. + + Returns: + Tuple of (meetings list, total count). + """ + with self._lock: + meetings = list(self._meetings.values()) + + # Filter by state + if states: + state_set = set(states) + meetings = [m for m in meetings if m.state in state_set] + + total = len(meetings) + + # Sort + meetings.sort(key=lambda m: m.created_at, reverse=sort_desc) + + # Paginate + meetings = meetings[offset : offset + limit] + + return meetings, total + + def update(self, meeting: Meeting) -> Meeting: + """Update a meeting in the store. + + Args: + meeting: Meeting with updated fields. + + Returns: + Updated meeting. + """ + with self._lock: + self._meetings[str(meeting.id)] = meeting + return meeting + + def add_segment(self, meeting_id: str, segment: Segment) -> Meeting | None: + """Add a segment to a meeting. + + Args: + meeting_id: Meeting ID. + segment: Segment to add. + + Returns: + Updated meeting or None if not found. + """ + with self._lock: + meeting = self._meetings.get(meeting_id) + if meeting is None: + return None + + meeting.add_segment(segment) + return meeting + + def set_summary(self, meeting_id: str, summary: Summary) -> Meeting | None: + """Set meeting summary. + + Args: + meeting_id: Meeting ID. + summary: Summary to set. + + Returns: + Updated meeting or None if not found. + """ + with self._lock: + meeting = self._meetings.get(meeting_id) + if meeting is None: + return None + + meeting.summary = summary + return meeting + + def delete(self, meeting_id: str) -> bool: + """Delete a meeting. + + Args: + meeting_id: Meeting ID. + + Returns: + True if deleted, False if not found. + """ + with self._lock: + if meeting_id in self._meetings: + del self._meetings[meeting_id] + return True + return False + + @property + def active_count(self) -> int: + """Count of meetings in RECORDING or STOPPING state.""" + with self._lock: + return sum(bool(m.state in (MeetingState.RECORDING, MeetingState.STOPPING)) + for m in self._meetings.values()) diff --git a/src/noteflow/grpc/proto/__init__.py b/src/noteflow/grpc/proto/__init__.py new file mode 100644 index 0000000..3a42b5e --- /dev/null +++ b/src/noteflow/grpc/proto/__init__.py @@ -0,0 +1 @@ +"""Generated protobuf and gRPC code.""" diff --git a/src/noteflow/grpc/proto/__pycache__/__init__.cpython-312.pyc b/src/noteflow/grpc/proto/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..91e901a Binary files /dev/null and b/src/noteflow/grpc/proto/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/grpc/proto/__pycache__/noteflow_pb2.cpython-312.pyc b/src/noteflow/grpc/proto/__pycache__/noteflow_pb2.cpython-312.pyc new file mode 100644 index 0000000..d4d591b Binary files /dev/null and b/src/noteflow/grpc/proto/__pycache__/noteflow_pb2.cpython-312.pyc differ diff --git a/src/noteflow/grpc/proto/__pycache__/noteflow_pb2_grpc.cpython-312.pyc b/src/noteflow/grpc/proto/__pycache__/noteflow_pb2_grpc.cpython-312.pyc new file mode 100644 index 0000000..eb1eae7 Binary files /dev/null and b/src/noteflow/grpc/proto/__pycache__/noteflow_pb2_grpc.cpython-312.pyc differ diff --git a/src/noteflow/grpc/proto/noteflow.proto b/src/noteflow/grpc/proto/noteflow.proto new file mode 100644 index 0000000..d6b7dd9 --- /dev/null +++ b/src/noteflow/grpc/proto/noteflow.proto @@ -0,0 +1,445 @@ +// NoteFlow gRPC Service Definition +// Provides real-time ASR streaming and meeting management + +syntax = "proto3"; + +package noteflow; + +// ============================================================================= +// Core Service +// ============================================================================= + +service NoteFlowService { + // Bidirectional streaming: client sends audio chunks, server returns transcripts + rpc StreamTranscription(stream AudioChunk) returns (stream TranscriptUpdate); + + // Meeting lifecycle management + rpc CreateMeeting(CreateMeetingRequest) returns (Meeting); + rpc StopMeeting(StopMeetingRequest) returns (Meeting); + rpc ListMeetings(ListMeetingsRequest) returns (ListMeetingsResponse); + rpc GetMeeting(GetMeetingRequest) returns (Meeting); + rpc DeleteMeeting(DeleteMeetingRequest) returns (DeleteMeetingResponse); + + // Summary generation + rpc GenerateSummary(GenerateSummaryRequest) returns (Summary); + + // Annotation management + rpc AddAnnotation(AddAnnotationRequest) returns (Annotation); + rpc GetAnnotation(GetAnnotationRequest) returns (Annotation); + rpc ListAnnotations(ListAnnotationsRequest) returns (ListAnnotationsResponse); + rpc UpdateAnnotation(UpdateAnnotationRequest) returns (Annotation); + rpc DeleteAnnotation(DeleteAnnotationRequest) returns (DeleteAnnotationResponse); + + // Export functionality + rpc ExportTranscript(ExportTranscriptRequest) returns (ExportTranscriptResponse); + + // Server health and capabilities + rpc GetServerInfo(ServerInfoRequest) returns (ServerInfo); +} + +// ============================================================================= +// Audio Streaming Messages +// ============================================================================= + +message AudioChunk { + // Meeting ID this audio belongs to + string meeting_id = 1; + + // Raw audio data (float32, mono, 16kHz expected) + bytes audio_data = 2; + + // Timestamp when audio was captured (monotonic, seconds) + double timestamp = 3; + + // Sample rate in Hz (default 16000) + int32 sample_rate = 4; + + // Number of channels (default 1 for mono) + int32 channels = 5; +} + +message TranscriptUpdate { + // Meeting ID this transcript belongs to + string meeting_id = 1; + + // Type of update + UpdateType update_type = 2; + + // For partial updates - tentative transcript text + string partial_text = 3; + + // For final segments - confirmed transcript + FinalSegment segment = 4; + + // Server-side processing timestamp + double server_timestamp = 5; +} + +enum UpdateType { + UPDATE_TYPE_UNSPECIFIED = 0; + UPDATE_TYPE_PARTIAL = 1; // Tentative, may change + UPDATE_TYPE_FINAL = 2; // Confirmed segment + UPDATE_TYPE_VAD_START = 3; // Voice activity started + UPDATE_TYPE_VAD_END = 4; // Voice activity ended +} + +message FinalSegment { + // Segment ID (sequential within meeting) + int32 segment_id = 1; + + // Transcript text + string text = 2; + + // Start time relative to meeting start (seconds) + double start_time = 3; + + // End time relative to meeting start (seconds) + double end_time = 4; + + // Word-level timestamps + repeated WordTiming words = 5; + + // Detected language + string language = 6; + + // Language detection confidence (0.0-1.0) + float language_confidence = 7; + + // Average log probability (quality indicator) + float avg_logprob = 8; + + // Probability that segment contains no speech + float no_speech_prob = 9; +} + +message WordTiming { + string word = 1; + double start_time = 2; + double end_time = 3; + float probability = 4; +} + +// ============================================================================= +// Meeting Management Messages +// ============================================================================= + +message Meeting { + // Unique meeting identifier + string id = 1; + + // User-provided title + string title = 2; + + // Meeting state + MeetingState state = 3; + + // Creation timestamp (Unix epoch seconds) + double created_at = 4; + + // Start timestamp (when recording began) + double started_at = 5; + + // End timestamp (when recording stopped) + double ended_at = 6; + + // Duration in seconds + double duration_seconds = 7; + + // Full transcript segments + repeated FinalSegment segments = 8; + + // Generated summary (if available) + Summary summary = 9; + + // Metadata + map metadata = 10; +} + +enum MeetingState { + MEETING_STATE_UNSPECIFIED = 0; + MEETING_STATE_CREATED = 1; // Created but not started + MEETING_STATE_RECORDING = 2; // Actively recording + MEETING_STATE_STOPPED = 3; // Recording stopped, processing may continue + MEETING_STATE_COMPLETED = 4; // All processing complete + MEETING_STATE_ERROR = 5; // Error occurred +} + +message CreateMeetingRequest { + // Optional title (generated if not provided) + string title = 1; + + // Optional metadata + map metadata = 2; +} + +message StopMeetingRequest { + string meeting_id = 1; +} + +message ListMeetingsRequest { + // Optional filter by state + repeated MeetingState states = 1; + + // Pagination + int32 limit = 2; + int32 offset = 3; + + // Sort order + SortOrder sort_order = 4; +} + +enum SortOrder { + SORT_ORDER_UNSPECIFIED = 0; + SORT_ORDER_CREATED_DESC = 1; // Newest first (default) + SORT_ORDER_CREATED_ASC = 2; // Oldest first +} + +message ListMeetingsResponse { + repeated Meeting meetings = 1; + int32 total_count = 2; +} + +message GetMeetingRequest { + string meeting_id = 1; + + // Whether to include full transcript segments + bool include_segments = 2; + + // Whether to include summary + bool include_summary = 3; +} + +message DeleteMeetingRequest { + string meeting_id = 1; +} + +message DeleteMeetingResponse { + bool success = 1; +} + +// ============================================================================= +// Summary Messages +// ============================================================================= + +message Summary { + // Meeting this summary belongs to + string meeting_id = 1; + + // Executive summary (2-3 sentences) + string executive_summary = 2; + + // Key points / highlights + repeated KeyPoint key_points = 3; + + // Action items extracted + repeated ActionItem action_items = 4; + + // Generated timestamp + double generated_at = 5; + + // Model/version used for generation + string model_version = 6; +} + +message KeyPoint { + // The key point text + string text = 1; + + // Segment IDs that support this point (evidence linking) + repeated int32 segment_ids = 2; + + // Timestamp range this point covers + double start_time = 3; + double end_time = 4; +} + +message ActionItem { + // Action item text + string text = 1; + + // Assigned to (if mentioned) + string assignee = 2; + + // Due date (if mentioned, Unix epoch) + double due_date = 3; + + // Priority level + Priority priority = 4; + + // Segment IDs that mention this action + repeated int32 segment_ids = 5; +} + +enum Priority { + PRIORITY_UNSPECIFIED = 0; + PRIORITY_LOW = 1; + PRIORITY_MEDIUM = 2; + PRIORITY_HIGH = 3; +} + +message GenerateSummaryRequest { + string meeting_id = 1; + + // Force regeneration even if summary exists + bool force_regenerate = 2; +} + +// ============================================================================= +// Server Info Messages +// ============================================================================= + +message ServerInfoRequest {} + +message ServerInfo { + // Server version + string version = 1; + + // ASR model loaded + string asr_model = 2; + + // Whether ASR is ready + bool asr_ready = 3; + + // Supported sample rates + repeated int32 supported_sample_rates = 4; + + // Maximum audio chunk size in bytes + int32 max_chunk_size = 5; + + // Server uptime in seconds + double uptime_seconds = 6; + + // Number of active meetings + int32 active_meetings = 7; +} + +// ============================================================================= +// Annotation Messages +// ============================================================================= + +enum AnnotationType { + ANNOTATION_TYPE_UNSPECIFIED = 0; + ANNOTATION_TYPE_ACTION_ITEM = 1; + ANNOTATION_TYPE_DECISION = 2; + ANNOTATION_TYPE_NOTE = 3; +} + +message Annotation { + // Unique annotation identifier + string id = 1; + + // Meeting this annotation belongs to + string meeting_id = 2; + + // Type of annotation + AnnotationType annotation_type = 3; + + // Annotation text + string text = 4; + + // Start time relative to meeting start (seconds) + double start_time = 5; + + // End time relative to meeting start (seconds) + double end_time = 6; + + // Linked segment IDs (evidence linking) + repeated int32 segment_ids = 7; + + // Creation timestamp (Unix epoch seconds) + double created_at = 8; +} + +message AddAnnotationRequest { + // Meeting ID to add annotation to + string meeting_id = 1; + + // Type of annotation + AnnotationType annotation_type = 2; + + // Annotation text + string text = 3; + + // Start time relative to meeting start (seconds) + double start_time = 4; + + // End time relative to meeting start (seconds) + double end_time = 5; + + // Optional linked segment IDs + repeated int32 segment_ids = 6; +} + +message GetAnnotationRequest { + string annotation_id = 1; +} + +message ListAnnotationsRequest { + // Meeting ID to list annotations for + string meeting_id = 1; + + // Optional time range filter + double start_time = 2; + double end_time = 3; +} + +message ListAnnotationsResponse { + repeated Annotation annotations = 1; +} + +message UpdateAnnotationRequest { + // Annotation ID to update + string annotation_id = 1; + + // Updated type (optional, keeps existing if not set) + AnnotationType annotation_type = 2; + + // Updated text (optional, keeps existing if empty) + string text = 3; + + // Updated start time (optional, keeps existing if 0) + double start_time = 4; + + // Updated end time (optional, keeps existing if 0) + double end_time = 5; + + // Updated segment IDs (replaces existing) + repeated int32 segment_ids = 6; +} + +message DeleteAnnotationRequest { + string annotation_id = 1; +} + +message DeleteAnnotationResponse { + bool success = 1; +} + +// ============================================================================= +// Export Messages +// ============================================================================= + +enum ExportFormat { + EXPORT_FORMAT_UNSPECIFIED = 0; + EXPORT_FORMAT_MARKDOWN = 1; + EXPORT_FORMAT_HTML = 2; +} + +message ExportTranscriptRequest { + // Meeting ID to export + string meeting_id = 1; + + // Export format + ExportFormat format = 2; +} + +message ExportTranscriptResponse { + // Exported content + string content = 1; + + // Format name + string format_name = 2; + + // Suggested file extension + string file_extension = 3; +} diff --git a/src/noteflow/grpc/proto/noteflow_pb2.py b/src/noteflow/grpc/proto/noteflow_pb2.py new file mode 100644 index 0000000..223cbd8 --- /dev/null +++ b/src/noteflow/grpc/proto/noteflow_pb2.py @@ -0,0 +1,112 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# NO CHECKED-IN PROTOBUF GENCODE +# source: noteflow.proto +# Protobuf Python Version: 6.31.1 +"""Generated protocol buffer code.""" +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import runtime_version as _runtime_version +from google.protobuf import symbol_database as _symbol_database +from google.protobuf.internal import builder as _builder +_runtime_version.ValidateProtobufRuntimeVersion( + _runtime_version.Domain.PUBLIC, + 6, + 31, + 1, + '', + 'noteflow.proto' +) +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + + + +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0enoteflow.proto\x12\x08noteflow\"n\n\nAudioChunk\x12\x12\n\nmeeting_id\x18\x01 \x01(\t\x12\x12\n\naudio_data\x18\x02 \x01(\x0c\x12\x11\n\ttimestamp\x18\x03 \x01(\x01\x12\x13\n\x0bsample_rate\x18\x04 \x01(\x05\x12\x10\n\x08\x63hannels\x18\x05 \x01(\x05\"\xaa\x01\n\x10TranscriptUpdate\x12\x12\n\nmeeting_id\x18\x01 \x01(\t\x12)\n\x0bupdate_type\x18\x02 \x01(\x0e\x32\x14.noteflow.UpdateType\x12\x14\n\x0cpartial_text\x18\x03 \x01(\t\x12\'\n\x07segment\x18\x04 \x01(\x0b\x32\x16.noteflow.FinalSegment\x12\x18\n\x10server_timestamp\x18\x05 \x01(\x01\"\xd7\x01\n\x0c\x46inalSegment\x12\x12\n\nsegment_id\x18\x01 \x01(\x05\x12\x0c\n\x04text\x18\x02 \x01(\t\x12\x12\n\nstart_time\x18\x03 \x01(\x01\x12\x10\n\x08\x65nd_time\x18\x04 \x01(\x01\x12#\n\x05words\x18\x05 \x03(\x0b\x32\x14.noteflow.WordTiming\x12\x10\n\x08language\x18\x06 \x01(\t\x12\x1b\n\x13language_confidence\x18\x07 \x01(\x02\x12\x13\n\x0b\x61vg_logprob\x18\x08 \x01(\x02\x12\x16\n\x0eno_speech_prob\x18\t \x01(\x02\"U\n\nWordTiming\x12\x0c\n\x04word\x18\x01 \x01(\t\x12\x12\n\nstart_time\x18\x02 \x01(\x01\x12\x10\n\x08\x65nd_time\x18\x03 \x01(\x01\x12\x13\n\x0bprobability\x18\x04 \x01(\x02\"\xd1\x02\n\x07Meeting\x12\n\n\x02id\x18\x01 \x01(\t\x12\r\n\x05title\x18\x02 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_globals['_MEETING_METADATAENTRY']._loaded_options = None + _globals['_MEETING_METADATAENTRY']._serialized_options = b'8\001' + _globals['_CREATEMEETINGREQUEST_METADATAENTRY']._loaded_options = None + _globals['_CREATEMEETINGREQUEST_METADATAENTRY']._serialized_options = b'8\001' + _globals['_UPDATETYPE']._serialized_start=3222 + _globals['_UPDATETYPE']._serialized_end=3363 + _globals['_MEETINGSTATE']._serialized_start=3366 + _globals['_MEETINGSTATE']._serialized_end=3548 + _globals['_SORTORDER']._serialized_start=3550 + _globals['_SORTORDER']._serialized_end=3646 + _globals['_PRIORITY']._serialized_start=3648 + _globals['_PRIORITY']._serialized_end=3742 + _globals['_ANNOTATIONTYPE']._serialized_start=3745 + _globals['_ANNOTATIONTYPE']._serialized_end=3883 + _globals['_EXPORTFORMAT']._serialized_start=3885 + _globals['_EXPORTFORMAT']._serialized_end=3982 + _globals['_AUDIOCHUNK']._serialized_start=28 + _globals['_AUDIOCHUNK']._serialized_end=138 + _globals['_TRANSCRIPTUPDATE']._serialized_start=141 + _globals['_TRANSCRIPTUPDATE']._serialized_end=311 + _globals['_FINALSEGMENT']._serialized_start=314 + _globals['_FINALSEGMENT']._serialized_end=529 + _globals['_WORDTIMING']._serialized_start=531 + _globals['_WORDTIMING']._serialized_end=616 + _globals['_MEETING']._serialized_start=619 + _globals['_MEETING']._serialized_end=956 + _globals['_MEETING_METADATAENTRY']._serialized_start=909 + _globals['_MEETING_METADATAENTRY']._serialized_end=956 + _globals['_CREATEMEETINGREQUEST']._serialized_start=959 + _globals['_CREATEMEETINGREQUEST']._serialized_end=1109 + _globals['_CREATEMEETINGREQUEST_METADATAENTRY']._serialized_start=909 + _globals['_CREATEMEETINGREQUEST_METADATAENTRY']._serialized_end=956 + _globals['_STOPMEETINGREQUEST']._serialized_start=1111 + _globals['_STOPMEETINGREQUEST']._serialized_end=1151 + _globals['_LISTMEETINGSREQUEST']._serialized_start=1154 + _globals['_LISTMEETINGSREQUEST']._serialized_end=1287 + _globals['_LISTMEETINGSRESPONSE']._serialized_start=1289 + _globals['_LISTMEETINGSRESPONSE']._serialized_end=1369 + _globals['_GETMEETINGREQUEST']._serialized_start=1371 + _globals['_GETMEETINGREQUEST']._serialized_end=1461 + _globals['_DELETEMEETINGREQUEST']._serialized_start=1463 + _globals['_DELETEMEETINGREQUEST']._serialized_end=1505 + _globals['_DELETEMEETINGRESPONSE']._serialized_start=1507 + _globals['_DELETEMEETINGRESPONSE']._serialized_end=1547 + _globals['_SUMMARY']._serialized_start=1550 + _globals['_SUMMARY']._serialized_end=1735 + _globals['_KEYPOINT']._serialized_start=1737 + _globals['_KEYPOINT']._serialized_end=1820 + _globals['_ACTIONITEM']._serialized_start=1822 + _globals['_ACTIONITEM']._serialized_end=1943 + _globals['_GENERATESUMMARYREQUEST']._serialized_start=1945 + _globals['_GENERATESUMMARYREQUEST']._serialized_end=2015 + _globals['_SERVERINFOREQUEST']._serialized_start=2017 + _globals['_SERVERINFOREQUEST']._serialized_end=2036 + 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_globals['_DELETEANNOTATIONRESPONSE']._serialized_end=3042 + _globals['_EXPORTTRANSCRIPTREQUEST']._serialized_start=3044 + _globals['_EXPORTTRANSCRIPTREQUEST']._serialized_end=3129 + _globals['_EXPORTTRANSCRIPTRESPONSE']._serialized_start=3131 + _globals['_EXPORTTRANSCRIPTRESPONSE']._serialized_end=3219 + _globals['_NOTEFLOWSERVICE']._serialized_start=3985 + _globals['_NOTEFLOWSERVICE']._serialized_end=5063 +# @@protoc_insertion_point(module_scope) diff --git a/src/noteflow/grpc/proto/noteflow_pb2.pyi b/src/noteflow/grpc/proto/noteflow_pb2.pyi new file mode 100644 index 0000000..850d17c --- /dev/null +++ b/src/noteflow/grpc/proto/noteflow_pb2.pyi @@ -0,0 +1,284 @@ +from google.protobuf.internal import containers as _containers +from google.protobuf.internal import enum_type_wrapper as _enum_type_wrapper +from google.protobuf import descriptor as _descriptor +from google.protobuf import message as _message +from collections.abc import Iterable as _Iterable, Mapping as _Mapping +from typing import ClassVar as _ClassVar, Optional as _Optional, Union as _Union + +DESCRIPTOR: _descriptor.FileDescriptor + +class UpdateType(int, metaclass=_enum_type_wrapper.EnumTypeWrapper): + __slots__ = () + UPDATE_TYPE_UNSPECIFIED: _ClassVar[UpdateType] + UPDATE_TYPE_PARTIAL: _ClassVar[UpdateType] + UPDATE_TYPE_FINAL: _ClassVar[UpdateType] + UPDATE_TYPE_VAD_START: _ClassVar[UpdateType] + UPDATE_TYPE_VAD_END: _ClassVar[UpdateType] + +class MeetingState(int, metaclass=_enum_type_wrapper.EnumTypeWrapper): + __slots__ = () + MEETING_STATE_UNSPECIFIED: _ClassVar[MeetingState] + MEETING_STATE_CREATED: _ClassVar[MeetingState] + MEETING_STATE_RECORDING: _ClassVar[MeetingState] + MEETING_STATE_STOPPED: _ClassVar[MeetingState] + MEETING_STATE_COMPLETED: _ClassVar[MeetingState] + MEETING_STATE_ERROR: _ClassVar[MeetingState] + +class SortOrder(int, metaclass=_enum_type_wrapper.EnumTypeWrapper): + __slots__ = () + SORT_ORDER_UNSPECIFIED: _ClassVar[SortOrder] + SORT_ORDER_CREATED_DESC: _ClassVar[SortOrder] + SORT_ORDER_CREATED_ASC: _ClassVar[SortOrder] + +class Priority(int, metaclass=_enum_type_wrapper.EnumTypeWrapper): + __slots__ = () + PRIORITY_UNSPECIFIED: _ClassVar[Priority] + PRIORITY_LOW: _ClassVar[Priority] + PRIORITY_MEDIUM: _ClassVar[Priority] + PRIORITY_HIGH: _ClassVar[Priority] +UPDATE_TYPE_UNSPECIFIED: UpdateType +UPDATE_TYPE_PARTIAL: UpdateType +UPDATE_TYPE_FINAL: UpdateType +UPDATE_TYPE_VAD_START: UpdateType +UPDATE_TYPE_VAD_END: UpdateType +MEETING_STATE_UNSPECIFIED: MeetingState +MEETING_STATE_CREATED: MeetingState +MEETING_STATE_RECORDING: MeetingState +MEETING_STATE_STOPPED: MeetingState +MEETING_STATE_COMPLETED: MeetingState +MEETING_STATE_ERROR: MeetingState +SORT_ORDER_UNSPECIFIED: SortOrder +SORT_ORDER_CREATED_DESC: SortOrder +SORT_ORDER_CREATED_ASC: SortOrder +PRIORITY_UNSPECIFIED: Priority +PRIORITY_LOW: Priority +PRIORITY_MEDIUM: Priority +PRIORITY_HIGH: Priority + +class AudioChunk(_message.Message): + __slots__ = ("meeting_id", "audio_data", "timestamp", "sample_rate", "channels") + MEETING_ID_FIELD_NUMBER: _ClassVar[int] + AUDIO_DATA_FIELD_NUMBER: _ClassVar[int] + TIMESTAMP_FIELD_NUMBER: _ClassVar[int] + SAMPLE_RATE_FIELD_NUMBER: _ClassVar[int] + CHANNELS_FIELD_NUMBER: _ClassVar[int] + meeting_id: str + audio_data: bytes + timestamp: float + sample_rate: int + channels: int + def __init__(self, meeting_id: _Optional[str] = ..., audio_data: _Optional[bytes] = ..., timestamp: _Optional[float] = ..., sample_rate: _Optional[int] = ..., channels: _Optional[int] = ...) -> None: ... + +class TranscriptUpdate(_message.Message): + __slots__ = ("meeting_id", "update_type", "partial_text", "segment", "server_timestamp") + MEETING_ID_FIELD_NUMBER: _ClassVar[int] + UPDATE_TYPE_FIELD_NUMBER: _ClassVar[int] + PARTIAL_TEXT_FIELD_NUMBER: _ClassVar[int] + SEGMENT_FIELD_NUMBER: _ClassVar[int] + SERVER_TIMESTAMP_FIELD_NUMBER: _ClassVar[int] + meeting_id: str + update_type: UpdateType + partial_text: str + segment: FinalSegment + server_timestamp: float + def __init__(self, meeting_id: _Optional[str] = ..., update_type: _Optional[_Union[UpdateType, str]] = ..., partial_text: _Optional[str] = ..., segment: _Optional[_Union[FinalSegment, _Mapping]] = ..., server_timestamp: _Optional[float] = ...) -> None: ... + +class FinalSegment(_message.Message): + __slots__ = ("segment_id", "text", "start_time", "end_time", "words", "language", "language_confidence", "avg_logprob", "no_speech_prob") + SEGMENT_ID_FIELD_NUMBER: _ClassVar[int] + TEXT_FIELD_NUMBER: _ClassVar[int] + START_TIME_FIELD_NUMBER: _ClassVar[int] + END_TIME_FIELD_NUMBER: _ClassVar[int] + WORDS_FIELD_NUMBER: _ClassVar[int] + LANGUAGE_FIELD_NUMBER: _ClassVar[int] + LANGUAGE_CONFIDENCE_FIELD_NUMBER: _ClassVar[int] + AVG_LOGPROB_FIELD_NUMBER: _ClassVar[int] + NO_SPEECH_PROB_FIELD_NUMBER: _ClassVar[int] + segment_id: int + text: str + start_time: float + end_time: float + words: _containers.RepeatedCompositeFieldContainer[WordTiming] + language: str + language_confidence: float + avg_logprob: float + no_speech_prob: float + def __init__(self, segment_id: _Optional[int] = ..., text: _Optional[str] = ..., start_time: _Optional[float] = ..., end_time: _Optional[float] = ..., words: _Optional[_Iterable[_Union[WordTiming, _Mapping]]] = ..., language: _Optional[str] = ..., language_confidence: _Optional[float] = ..., avg_logprob: _Optional[float] = ..., no_speech_prob: _Optional[float] = ...) -> None: ... + +class WordTiming(_message.Message): + __slots__ = ("word", "start_time", "end_time", "probability") + WORD_FIELD_NUMBER: _ClassVar[int] + START_TIME_FIELD_NUMBER: _ClassVar[int] + END_TIME_FIELD_NUMBER: _ClassVar[int] + PROBABILITY_FIELD_NUMBER: _ClassVar[int] + word: str + start_time: float + end_time: float + probability: float + def __init__(self, word: _Optional[str] = ..., start_time: _Optional[float] = ..., end_time: _Optional[float] = ..., probability: _Optional[float] = ...) -> None: ... + +class Meeting(_message.Message): + __slots__ = ("id", "title", "state", "created_at", "started_at", "ended_at", "duration_seconds", "segments", "summary", "metadata") + class MetadataEntry(_message.Message): + __slots__ = ("key", "value") + KEY_FIELD_NUMBER: _ClassVar[int] + VALUE_FIELD_NUMBER: _ClassVar[int] + key: str + value: str + def __init__(self, key: _Optional[str] = ..., value: _Optional[str] = ...) -> None: ... + ID_FIELD_NUMBER: _ClassVar[int] + TITLE_FIELD_NUMBER: _ClassVar[int] + STATE_FIELD_NUMBER: _ClassVar[int] + CREATED_AT_FIELD_NUMBER: _ClassVar[int] + STARTED_AT_FIELD_NUMBER: _ClassVar[int] + ENDED_AT_FIELD_NUMBER: _ClassVar[int] + DURATION_SECONDS_FIELD_NUMBER: _ClassVar[int] + SEGMENTS_FIELD_NUMBER: _ClassVar[int] + SUMMARY_FIELD_NUMBER: _ClassVar[int] + METADATA_FIELD_NUMBER: _ClassVar[int] + id: str + title: str + state: MeetingState + created_at: float + started_at: float + ended_at: float + duration_seconds: float + segments: _containers.RepeatedCompositeFieldContainer[FinalSegment] + summary: Summary + metadata: _containers.ScalarMap[str, str] + def __init__(self, id: _Optional[str] = ..., title: _Optional[str] = ..., state: _Optional[_Union[MeetingState, str]] = ..., created_at: _Optional[float] = ..., started_at: _Optional[float] = ..., ended_at: _Optional[float] = ..., duration_seconds: _Optional[float] = ..., segments: _Optional[_Iterable[_Union[FinalSegment, _Mapping]]] = ..., summary: _Optional[_Union[Summary, _Mapping]] = ..., metadata: _Optional[_Mapping[str, str]] = ...) -> None: ... + +class CreateMeetingRequest(_message.Message): + __slots__ = ("title", "metadata") + class MetadataEntry(_message.Message): + __slots__ = ("key", "value") + KEY_FIELD_NUMBER: _ClassVar[int] + VALUE_FIELD_NUMBER: _ClassVar[int] + key: str + value: str + def __init__(self, key: _Optional[str] = ..., value: _Optional[str] = ...) -> None: ... + TITLE_FIELD_NUMBER: _ClassVar[int] + METADATA_FIELD_NUMBER: _ClassVar[int] + title: str + metadata: _containers.ScalarMap[str, str] + def __init__(self, title: _Optional[str] = ..., metadata: _Optional[_Mapping[str, str]] = ...) -> None: ... + +class StopMeetingRequest(_message.Message): + __slots__ = ("meeting_id",) + MEETING_ID_FIELD_NUMBER: _ClassVar[int] + meeting_id: str + def __init__(self, meeting_id: _Optional[str] = ...) -> None: ... + +class ListMeetingsRequest(_message.Message): + __slots__ = ("states", "limit", "offset", "sort_order") + STATES_FIELD_NUMBER: _ClassVar[int] + LIMIT_FIELD_NUMBER: _ClassVar[int] + OFFSET_FIELD_NUMBER: _ClassVar[int] + SORT_ORDER_FIELD_NUMBER: _ClassVar[int] + states: _containers.RepeatedScalarFieldContainer[MeetingState] + limit: int + offset: int + sort_order: SortOrder + def __init__(self, states: _Optional[_Iterable[_Union[MeetingState, str]]] = ..., limit: _Optional[int] = ..., offset: _Optional[int] = ..., sort_order: _Optional[_Union[SortOrder, str]] = ...) -> None: ... + +class ListMeetingsResponse(_message.Message): + __slots__ = ("meetings", "total_count") + MEETINGS_FIELD_NUMBER: _ClassVar[int] + TOTAL_COUNT_FIELD_NUMBER: _ClassVar[int] + meetings: _containers.RepeatedCompositeFieldContainer[Meeting] + total_count: int + def __init__(self, meetings: _Optional[_Iterable[_Union[Meeting, _Mapping]]] = ..., total_count: _Optional[int] = ...) -> None: ... + +class GetMeetingRequest(_message.Message): + __slots__ = ("meeting_id", "include_segments", "include_summary") + MEETING_ID_FIELD_NUMBER: _ClassVar[int] + INCLUDE_SEGMENTS_FIELD_NUMBER: _ClassVar[int] + INCLUDE_SUMMARY_FIELD_NUMBER: _ClassVar[int] + meeting_id: str + include_segments: bool + include_summary: bool + def __init__(self, meeting_id: _Optional[str] = ..., include_segments: bool = ..., include_summary: bool = ...) -> None: ... + +class DeleteMeetingRequest(_message.Message): + __slots__ = ("meeting_id",) + MEETING_ID_FIELD_NUMBER: _ClassVar[int] + meeting_id: str + def __init__(self, meeting_id: _Optional[str] = ...) -> None: ... + +class DeleteMeetingResponse(_message.Message): + __slots__ = ("success",) + SUCCESS_FIELD_NUMBER: _ClassVar[int] + success: bool + def __init__(self, success: bool = ...) -> None: ... + +class Summary(_message.Message): + __slots__ = ("meeting_id", "executive_summary", "key_points", "action_items", "generated_at", "model_version") + MEETING_ID_FIELD_NUMBER: _ClassVar[int] + EXECUTIVE_SUMMARY_FIELD_NUMBER: _ClassVar[int] + KEY_POINTS_FIELD_NUMBER: _ClassVar[int] + ACTION_ITEMS_FIELD_NUMBER: _ClassVar[int] + GENERATED_AT_FIELD_NUMBER: _ClassVar[int] + MODEL_VERSION_FIELD_NUMBER: _ClassVar[int] + meeting_id: str + executive_summary: str + key_points: _containers.RepeatedCompositeFieldContainer[KeyPoint] + action_items: _containers.RepeatedCompositeFieldContainer[ActionItem] + generated_at: float + model_version: str + def __init__(self, meeting_id: _Optional[str] = ..., executive_summary: _Optional[str] = ..., key_points: _Optional[_Iterable[_Union[KeyPoint, _Mapping]]] = ..., action_items: _Optional[_Iterable[_Union[ActionItem, _Mapping]]] = ..., generated_at: _Optional[float] = ..., model_version: _Optional[str] = ...) -> None: ... + +class KeyPoint(_message.Message): + __slots__ = ("text", "segment_ids", "start_time", "end_time") + TEXT_FIELD_NUMBER: _ClassVar[int] + SEGMENT_IDS_FIELD_NUMBER: _ClassVar[int] + START_TIME_FIELD_NUMBER: _ClassVar[int] + END_TIME_FIELD_NUMBER: _ClassVar[int] + text: str + segment_ids: _containers.RepeatedScalarFieldContainer[int] + start_time: float + end_time: float + def __init__(self, text: _Optional[str] = ..., segment_ids: _Optional[_Iterable[int]] = ..., start_time: _Optional[float] = ..., end_time: _Optional[float] = ...) -> None: ... + +class ActionItem(_message.Message): + __slots__ = ("text", "assignee", "due_date", "priority", "segment_ids") + TEXT_FIELD_NUMBER: _ClassVar[int] + ASSIGNEE_FIELD_NUMBER: _ClassVar[int] + DUE_DATE_FIELD_NUMBER: _ClassVar[int] + PRIORITY_FIELD_NUMBER: _ClassVar[int] + SEGMENT_IDS_FIELD_NUMBER: _ClassVar[int] + text: str + assignee: str + due_date: float + priority: Priority + segment_ids: _containers.RepeatedScalarFieldContainer[int] + def __init__(self, text: _Optional[str] = ..., assignee: _Optional[str] = ..., due_date: _Optional[float] = ..., priority: _Optional[_Union[Priority, str]] = ..., segment_ids: _Optional[_Iterable[int]] = ...) -> None: ... + +class GenerateSummaryRequest(_message.Message): + __slots__ = ("meeting_id", "force_regenerate") + MEETING_ID_FIELD_NUMBER: _ClassVar[int] + FORCE_REGENERATE_FIELD_NUMBER: _ClassVar[int] + meeting_id: str + force_regenerate: bool + def __init__(self, meeting_id: _Optional[str] = ..., force_regenerate: bool = ...) -> None: ... + +class ServerInfoRequest(_message.Message): + __slots__ = () + def __init__(self) -> None: ... + +class ServerInfo(_message.Message): + __slots__ = ("version", "asr_model", "asr_ready", "supported_sample_rates", "max_chunk_size", "uptime_seconds", "active_meetings") + VERSION_FIELD_NUMBER: _ClassVar[int] + ASR_MODEL_FIELD_NUMBER: _ClassVar[int] + ASR_READY_FIELD_NUMBER: _ClassVar[int] + SUPPORTED_SAMPLE_RATES_FIELD_NUMBER: _ClassVar[int] + MAX_CHUNK_SIZE_FIELD_NUMBER: _ClassVar[int] + UPTIME_SECONDS_FIELD_NUMBER: _ClassVar[int] + ACTIVE_MEETINGS_FIELD_NUMBER: _ClassVar[int] + version: str + asr_model: str + asr_ready: bool + supported_sample_rates: _containers.RepeatedScalarFieldContainer[int] + max_chunk_size: int + uptime_seconds: float + active_meetings: int + def __init__(self, version: _Optional[str] = ..., asr_model: _Optional[str] = ..., asr_ready: bool = ..., supported_sample_rates: _Optional[_Iterable[int]] = ..., max_chunk_size: _Optional[int] = ..., uptime_seconds: _Optional[float] = ..., active_meetings: _Optional[int] = ...) -> None: ... diff --git a/src/noteflow/grpc/proto/noteflow_pb2_grpc.py b/src/noteflow/grpc/proto/noteflow_pb2_grpc.py new file mode 100644 index 0000000..5b3baa1 --- /dev/null +++ b/src/noteflow/grpc/proto/noteflow_pb2_grpc.py @@ -0,0 +1,674 @@ +# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! +"""Client and server classes corresponding to protobuf-defined services.""" + +import grpc +import warnings + +from . import noteflow_pb2 as noteflow__pb2 + +GRPC_VERSION = grpc.__version__ +_version_not_supported = False + +GRPC_GENERATED_VERSION = '1.76.0' +try: + from grpc._utilities import first_version_is_lower + _version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION) +except ImportError: + _version_not_supported = True + +if _version_not_supported: + raise RuntimeError( + f'The grpc package installed is at version {GRPC_VERSION}, but the generated code in noteflow_pb2_grpc.py depends on' + + f' grpcio>={GRPC_GENERATED_VERSION}.' + + f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}' + + f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.' + ) + + +class NoteFlowServiceStub(object): + """============================================================================= + Core Service + ============================================================================= + + """ + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.StreamTranscription = channel.stream_stream( + '/noteflow.NoteFlowService/StreamTranscription', + request_serializer=noteflow__pb2.AudioChunk.SerializeToString, + response_deserializer=noteflow__pb2.TranscriptUpdate.FromString, + _registered_method=True) + self.CreateMeeting = channel.unary_unary( + '/noteflow.NoteFlowService/CreateMeeting', + request_serializer=noteflow__pb2.CreateMeetingRequest.SerializeToString, + response_deserializer=noteflow__pb2.Meeting.FromString, + _registered_method=True) + self.StopMeeting = channel.unary_unary( + '/noteflow.NoteFlowService/StopMeeting', + request_serializer=noteflow__pb2.StopMeetingRequest.SerializeToString, + response_deserializer=noteflow__pb2.Meeting.FromString, + _registered_method=True) + self.ListMeetings = channel.unary_unary( + '/noteflow.NoteFlowService/ListMeetings', + request_serializer=noteflow__pb2.ListMeetingsRequest.SerializeToString, + response_deserializer=noteflow__pb2.ListMeetingsResponse.FromString, + _registered_method=True) + self.GetMeeting = channel.unary_unary( + '/noteflow.NoteFlowService/GetMeeting', + request_serializer=noteflow__pb2.GetMeetingRequest.SerializeToString, + response_deserializer=noteflow__pb2.Meeting.FromString, + _registered_method=True) + self.DeleteMeeting = channel.unary_unary( + '/noteflow.NoteFlowService/DeleteMeeting', + request_serializer=noteflow__pb2.DeleteMeetingRequest.SerializeToString, + response_deserializer=noteflow__pb2.DeleteMeetingResponse.FromString, + _registered_method=True) + self.GenerateSummary = channel.unary_unary( + '/noteflow.NoteFlowService/GenerateSummary', + request_serializer=noteflow__pb2.GenerateSummaryRequest.SerializeToString, + response_deserializer=noteflow__pb2.Summary.FromString, + _registered_method=True) + self.AddAnnotation = channel.unary_unary( + '/noteflow.NoteFlowService/AddAnnotation', + request_serializer=noteflow__pb2.AddAnnotationRequest.SerializeToString, + response_deserializer=noteflow__pb2.Annotation.FromString, + _registered_method=True) + self.GetAnnotation = channel.unary_unary( + '/noteflow.NoteFlowService/GetAnnotation', + request_serializer=noteflow__pb2.GetAnnotationRequest.SerializeToString, + response_deserializer=noteflow__pb2.Annotation.FromString, + _registered_method=True) + self.ListAnnotations = channel.unary_unary( + '/noteflow.NoteFlowService/ListAnnotations', + request_serializer=noteflow__pb2.ListAnnotationsRequest.SerializeToString, + response_deserializer=noteflow__pb2.ListAnnotationsResponse.FromString, + _registered_method=True) + self.UpdateAnnotation = channel.unary_unary( + '/noteflow.NoteFlowService/UpdateAnnotation', + request_serializer=noteflow__pb2.UpdateAnnotationRequest.SerializeToString, + response_deserializer=noteflow__pb2.Annotation.FromString, + _registered_method=True) + self.DeleteAnnotation = channel.unary_unary( + '/noteflow.NoteFlowService/DeleteAnnotation', + request_serializer=noteflow__pb2.DeleteAnnotationRequest.SerializeToString, + response_deserializer=noteflow__pb2.DeleteAnnotationResponse.FromString, + _registered_method=True) + self.ExportTranscript = channel.unary_unary( + '/noteflow.NoteFlowService/ExportTranscript', + request_serializer=noteflow__pb2.ExportTranscriptRequest.SerializeToString, + response_deserializer=noteflow__pb2.ExportTranscriptResponse.FromString, + _registered_method=True) + self.GetServerInfo = channel.unary_unary( + '/noteflow.NoteFlowService/GetServerInfo', + request_serializer=noteflow__pb2.ServerInfoRequest.SerializeToString, + response_deserializer=noteflow__pb2.ServerInfo.FromString, + _registered_method=True) + + +class NoteFlowServiceServicer(object): + """============================================================================= + Core Service + ============================================================================= + + """ + + def StreamTranscription(self, request_iterator, context): + """Bidirectional streaming: client sends audio chunks, server returns transcripts + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def CreateMeeting(self, request, context): + """Meeting lifecycle management + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def StopMeeting(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ListMeetings(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetMeeting(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def DeleteMeeting(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GenerateSummary(self, request, context): + """Summary generation + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def AddAnnotation(self, request, context): + """Annotation management + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetAnnotation(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ListAnnotations(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def UpdateAnnotation(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def DeleteAnnotation(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ExportTranscript(self, request, context): + """Export functionality + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetServerInfo(self, request, context): + """Server health and capabilities + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + +def add_NoteFlowServiceServicer_to_server(servicer, server): + rpc_method_handlers = { + 'StreamTranscription': grpc.stream_stream_rpc_method_handler( + servicer.StreamTranscription, + request_deserializer=noteflow__pb2.AudioChunk.FromString, + response_serializer=noteflow__pb2.TranscriptUpdate.SerializeToString, + ), + 'CreateMeeting': grpc.unary_unary_rpc_method_handler( + servicer.CreateMeeting, + request_deserializer=noteflow__pb2.CreateMeetingRequest.FromString, + response_serializer=noteflow__pb2.Meeting.SerializeToString, + ), + 'StopMeeting': grpc.unary_unary_rpc_method_handler( + servicer.StopMeeting, + request_deserializer=noteflow__pb2.StopMeetingRequest.FromString, + response_serializer=noteflow__pb2.Meeting.SerializeToString, + ), + 'ListMeetings': grpc.unary_unary_rpc_method_handler( + servicer.ListMeetings, + request_deserializer=noteflow__pb2.ListMeetingsRequest.FromString, + response_serializer=noteflow__pb2.ListMeetingsResponse.SerializeToString, + ), + 'GetMeeting': grpc.unary_unary_rpc_method_handler( + servicer.GetMeeting, + request_deserializer=noteflow__pb2.GetMeetingRequest.FromString, + response_serializer=noteflow__pb2.Meeting.SerializeToString, + ), + 'DeleteMeeting': grpc.unary_unary_rpc_method_handler( + servicer.DeleteMeeting, + request_deserializer=noteflow__pb2.DeleteMeetingRequest.FromString, + response_serializer=noteflow__pb2.DeleteMeetingResponse.SerializeToString, + ), + 'GenerateSummary': grpc.unary_unary_rpc_method_handler( + servicer.GenerateSummary, + request_deserializer=noteflow__pb2.GenerateSummaryRequest.FromString, + response_serializer=noteflow__pb2.Summary.SerializeToString, + ), + 'AddAnnotation': grpc.unary_unary_rpc_method_handler( + servicer.AddAnnotation, + request_deserializer=noteflow__pb2.AddAnnotationRequest.FromString, + response_serializer=noteflow__pb2.Annotation.SerializeToString, + ), + 'GetAnnotation': grpc.unary_unary_rpc_method_handler( + servicer.GetAnnotation, + request_deserializer=noteflow__pb2.GetAnnotationRequest.FromString, + response_serializer=noteflow__pb2.Annotation.SerializeToString, + ), + 'ListAnnotations': grpc.unary_unary_rpc_method_handler( + servicer.ListAnnotations, + request_deserializer=noteflow__pb2.ListAnnotationsRequest.FromString, + response_serializer=noteflow__pb2.ListAnnotationsResponse.SerializeToString, + ), + 'UpdateAnnotation': grpc.unary_unary_rpc_method_handler( + servicer.UpdateAnnotation, + request_deserializer=noteflow__pb2.UpdateAnnotationRequest.FromString, + response_serializer=noteflow__pb2.Annotation.SerializeToString, + ), + 'DeleteAnnotation': grpc.unary_unary_rpc_method_handler( + servicer.DeleteAnnotation, + request_deserializer=noteflow__pb2.DeleteAnnotationRequest.FromString, + response_serializer=noteflow__pb2.DeleteAnnotationResponse.SerializeToString, + ), + 'ExportTranscript': grpc.unary_unary_rpc_method_handler( + servicer.ExportTranscript, + request_deserializer=noteflow__pb2.ExportTranscriptRequest.FromString, + response_serializer=noteflow__pb2.ExportTranscriptResponse.SerializeToString, + ), + 'GetServerInfo': grpc.unary_unary_rpc_method_handler( + servicer.GetServerInfo, + request_deserializer=noteflow__pb2.ServerInfoRequest.FromString, + response_serializer=noteflow__pb2.ServerInfo.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + 'noteflow.NoteFlowService', rpc_method_handlers) + server.add_generic_rpc_handlers((generic_handler,)) + server.add_registered_method_handlers('noteflow.NoteFlowService', rpc_method_handlers) + + + # This class is part of an EXPERIMENTAL API. +class NoteFlowService(object): + """============================================================================= + Core Service + ============================================================================= + + """ + + @staticmethod + def StreamTranscription(request_iterator, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.stream_stream( + request_iterator, + target, + '/noteflow.NoteFlowService/StreamTranscription', + noteflow__pb2.AudioChunk.SerializeToString, + noteflow__pb2.TranscriptUpdate.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def CreateMeeting(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/CreateMeeting', + noteflow__pb2.CreateMeetingRequest.SerializeToString, + noteflow__pb2.Meeting.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def StopMeeting(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/StopMeeting', + noteflow__pb2.StopMeetingRequest.SerializeToString, + noteflow__pb2.Meeting.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def ListMeetings(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/ListMeetings', + noteflow__pb2.ListMeetingsRequest.SerializeToString, + noteflow__pb2.ListMeetingsResponse.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def GetMeeting(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/GetMeeting', + noteflow__pb2.GetMeetingRequest.SerializeToString, + noteflow__pb2.Meeting.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def DeleteMeeting(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/DeleteMeeting', + noteflow__pb2.DeleteMeetingRequest.SerializeToString, + noteflow__pb2.DeleteMeetingResponse.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def GenerateSummary(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/GenerateSummary', + noteflow__pb2.GenerateSummaryRequest.SerializeToString, + noteflow__pb2.Summary.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def AddAnnotation(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/AddAnnotation', + noteflow__pb2.AddAnnotationRequest.SerializeToString, + noteflow__pb2.Annotation.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def GetAnnotation(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/GetAnnotation', + noteflow__pb2.GetAnnotationRequest.SerializeToString, + noteflow__pb2.Annotation.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def ListAnnotations(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/ListAnnotations', + noteflow__pb2.ListAnnotationsRequest.SerializeToString, + noteflow__pb2.ListAnnotationsResponse.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def UpdateAnnotation(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/UpdateAnnotation', + noteflow__pb2.UpdateAnnotationRequest.SerializeToString, + noteflow__pb2.Annotation.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def DeleteAnnotation(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/DeleteAnnotation', + noteflow__pb2.DeleteAnnotationRequest.SerializeToString, + noteflow__pb2.DeleteAnnotationResponse.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def ExportTranscript(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/ExportTranscript', + noteflow__pb2.ExportTranscriptRequest.SerializeToString, + noteflow__pb2.ExportTranscriptResponse.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def GetServerInfo(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary( + request, + target, + '/noteflow.NoteFlowService/GetServerInfo', + noteflow__pb2.ServerInfoRequest.SerializeToString, + noteflow__pb2.ServerInfo.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) diff --git a/src/noteflow/grpc/server.py b/src/noteflow/grpc/server.py new file mode 100644 index 0000000..96c2af7 --- /dev/null +++ b/src/noteflow/grpc/server.py @@ -0,0 +1,273 @@ +"""NoteFlow gRPC server entry point (async).""" + +from __future__ import annotations + +import argparse +import asyncio +import logging +import signal +import time +from typing import TYPE_CHECKING, Final + +import grpc.aio + +from noteflow.application.services import RecoveryService +from noteflow.config.settings import get_settings +from noteflow.infrastructure.asr import FasterWhisperEngine +from noteflow.infrastructure.asr.engine import VALID_MODEL_SIZES +from noteflow.infrastructure.persistence.database import create_async_session_factory +from noteflow.infrastructure.persistence.unit_of_work import SqlAlchemyUnitOfWork + +from .proto import noteflow_pb2_grpc +from .service import NoteFlowServicer + +if TYPE_CHECKING: + from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker + +logger = logging.getLogger(__name__) + +DEFAULT_PORT: Final[int] = 50051 +DEFAULT_MODEL: Final[str] = "base" + + +class NoteFlowServer: + """Async gRPC server for NoteFlow.""" + + def __init__( + self, + port: int = DEFAULT_PORT, + asr_model: str = DEFAULT_MODEL, + asr_device: str = "cpu", + asr_compute_type: str = "int8", + session_factory: async_sessionmaker[AsyncSession] | None = None, + ) -> None: + """Initialize the server. + + Args: + port: Port to listen on. + asr_model: ASR model size. + asr_device: Device for ASR ("cpu" or "cuda"). + asr_compute_type: ASR compute type. + session_factory: Optional async session factory for database. + """ + self._port = port + self._asr_model = asr_model + self._asr_device = asr_device + self._asr_compute_type = asr_compute_type + self._session_factory = session_factory + self._server: grpc.aio.Server | None = None + self._servicer: NoteFlowServicer | None = None + + async def start(self) -> None: + """Start the async gRPC server.""" + logger.info("Starting NoteFlow gRPC server (async)...") + + # Create ASR engine + logger.info( + "Loading ASR model '%s' on %s (%s)...", + self._asr_model, + self._asr_device, + self._asr_compute_type, + ) + start_time = time.perf_counter() + + asr_engine = FasterWhisperEngine( + compute_type=self._asr_compute_type, + device=self._asr_device, + ) + asr_engine.load_model(self._asr_model) + + load_time = time.perf_counter() - start_time + logger.info("ASR model loaded in %.2f seconds", load_time) + + # Create servicer with session factory + self._servicer = NoteFlowServicer( + asr_engine=asr_engine, + session_factory=self._session_factory, + ) + + # Create async gRPC server + self._server = grpc.aio.server( + options=[ + ("grpc.max_send_message_length", 100 * 1024 * 1024), # 100MB + ("grpc.max_receive_message_length", 100 * 1024 * 1024), + ], + ) + + # Register service + noteflow_pb2_grpc.add_NoteFlowServiceServicer_to_server( + self._servicer, + self._server, + ) + + # Bind to port + address = f"[::]:{self._port}" + self._server.add_insecure_port(address) + + # Start server + await self._server.start() + logger.info("Server listening on %s", address) + + async def stop(self, grace_period: float = 5.0) -> None: + """Stop the server gracefully. + + Args: + grace_period: Time to wait for in-flight RPCs. + """ + if self._server: + logger.info("Stopping server (grace period: %.1fs)...", grace_period) + await self._server.stop(grace_period) + logger.info("Server stopped") + + async def wait_for_termination(self) -> None: + """Block until server is terminated.""" + if self._server: + await self._server.wait_for_termination() + + +async def run_server( + port: int, + asr_model: str, + asr_device: str, + asr_compute_type: str, + database_url: str | None = None, +) -> None: + """Run the async gRPC server. + + Args: + port: Port to listen on. + asr_model: ASR model size. + asr_device: Device for ASR. + asr_compute_type: ASR compute type. + database_url: Optional database URL for persistence. + """ + # Create session factory if database URL provided + session_factory = None + if database_url: + logger.info("Connecting to database...") + session_factory = create_async_session_factory(database_url) + logger.info("Database connection pool ready") + + # Run crash recovery on startup + uow = SqlAlchemyUnitOfWork(session_factory) + recovery_service = RecoveryService(uow) + recovered = await recovery_service.recover_crashed_meetings() + if recovered: + logger.warning( + "Recovered %d crashed meetings on startup", + len(recovered), + ) + + server = NoteFlowServer( + port=port, + asr_model=asr_model, + asr_device=asr_device, + asr_compute_type=asr_compute_type, + session_factory=session_factory, + ) + + # Set up graceful shutdown + loop = asyncio.get_running_loop() + shutdown_event = asyncio.Event() + + def signal_handler() -> None: + logger.info("Received shutdown signal...") + shutdown_event.set() + + for sig in (signal.SIGINT, signal.SIGTERM): + loop.add_signal_handler(sig, signal_handler) + + try: + await server.start() + print(f"\nNoteFlow server running on port {port}") + print(f"ASR model: {asr_model} ({asr_device}/{asr_compute_type})") + if database_url: + print("Database: Connected") + else: + print("Database: Not configured (in-memory mode)") + print("Press Ctrl+C to stop\n") + + # Wait for shutdown signal or server termination + await shutdown_event.wait() + finally: + await server.stop() + + +def main() -> None: + """Entry point for NoteFlow gRPC server.""" + parser = argparse.ArgumentParser(description="NoteFlow gRPC Server") + parser.add_argument( + "-p", + "--port", + type=int, + default=DEFAULT_PORT, + help=f"Port to listen on (default: {DEFAULT_PORT})", + ) + parser.add_argument( + "-m", + "--model", + type=str, + default=DEFAULT_MODEL, + choices=list(VALID_MODEL_SIZES), + help=f"ASR model size (default: {DEFAULT_MODEL})", + ) + parser.add_argument( + "-d", + "--device", + type=str, + default="cpu", + choices=["cpu", "cuda"], + help="ASR device (default: cpu)", + ) + parser.add_argument( + "-c", + "--compute-type", + type=str, + default="int8", + choices=["int8", "float16", "float32"], + help="ASR compute type (default: int8)", + ) + parser.add_argument( + "--database-url", + type=str, + default=None, + help="PostgreSQL database URL (overrides NOTEFLOW_DATABASE_URL)", + ) + parser.add_argument( + "-v", + "--verbose", + action="store_true", + help="Enable verbose logging", + ) + args = parser.parse_args() + + # Configure logging + log_level = logging.DEBUG if args.verbose else logging.INFO + logging.basicConfig( + level=log_level, + format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", + ) + + # Get database URL from args or settings + database_url = args.database_url + if not database_url: + try: + settings = get_settings() + database_url = str(settings.database_url) + except Exception: + logger.warning("No database URL configured, running in-memory mode") + + # Run server + asyncio.run( + run_server( + port=args.port, + asr_model=args.model, + asr_device=args.device, + asr_compute_type=args.compute_type, + database_url=database_url, + ) + ) + + +if __name__ == "__main__": + main() diff --git a/src/noteflow/grpc/service.py b/src/noteflow/grpc/service.py new file mode 100644 index 0000000..8482db2 --- /dev/null +++ b/src/noteflow/grpc/service.py @@ -0,0 +1,1187 @@ +"""NoteFlow gRPC service implementation (async with UoW).""" + +from __future__ import annotations + +import logging +import struct +import time +from collections.abc import AsyncIterator +from datetime import UTC, datetime +from pathlib import Path +from typing import TYPE_CHECKING, ClassVar, Final +from uuid import UUID + +import grpc.aio +import numpy as np +from numpy.typing import NDArray + +from noteflow.application.services.export_service import ExportFormat, ExportService +from noteflow.domain.entities import Annotation, Meeting, Segment, Summary +from noteflow.domain.value_objects import AnnotationId, AnnotationType, MeetingId, MeetingState +from noteflow.infrastructure.asr import Segmenter, SegmenterConfig, StreamingVad +from noteflow.infrastructure.audio.writer import MeetingAudioWriter +from noteflow.infrastructure.converters import AsrConverter +from noteflow.infrastructure.persistence.unit_of_work import SqlAlchemyUnitOfWork +from noteflow.infrastructure.security.crypto import AesGcmCryptoBox +from noteflow.infrastructure.security.keystore import KeyringKeyStore + +from .meeting_store import MeetingStore +from .proto import noteflow_pb2, noteflow_pb2_grpc + +if TYPE_CHECKING: + from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker + + from noteflow.infrastructure.asr import FasterWhisperEngine + from noteflow.infrastructure.asr.dto import AsrResult + +logger = logging.getLogger(__name__) + + +class NoteFlowServicer(noteflow_pb2_grpc.NoteFlowServiceServicer): + """Async gRPC service implementation for NoteFlow with PostgreSQL persistence.""" + + VERSION: Final[str] = "0.2.0" + MAX_CHUNK_SIZE: Final[int] = 1024 * 1024 # 1MB + DEFAULT_SAMPLE_RATE: Final[int] = 16000 + SUPPORTED_SAMPLE_RATES: ClassVar[list[int]] = [16000, 44100, 48000] + + def __init__( + self, + asr_engine: FasterWhisperEngine | None = None, + session_factory: async_sessionmaker[AsyncSession] | None = None, + meetings_dir: Path | None = None, + ) -> None: + """Initialize the service. + + Args: + asr_engine: Optional ASR engine. + session_factory: Optional async session factory for database persistence. + If not provided, falls back to in-memory MeetingStore. + meetings_dir: Optional directory for meeting audio storage. + Defaults to ~/.noteflow/meetings. + """ + self._asr_engine = asr_engine + self._session_factory = session_factory + self._start_time = time.time() + # Fallback to in-memory store if no database configured + self._memory_store: MeetingStore | None = ( + MeetingStore() if session_factory is None else None + ) + + # Audio writing infrastructure + self._meetings_dir = meetings_dir or (Path.home() / ".noteflow" / "meetings") + self._keystore = KeyringKeyStore() + self._crypto = AesGcmCryptoBox(self._keystore) + self._audio_writers: dict[str, MeetingAudioWriter] = {} + + # VAD and segmentation state per meeting + self._vad_instances: dict[str, StreamingVad] = {} + self._segmenters: dict[str, Segmenter] = {} + self._was_speaking: dict[str, bool] = {} + self._segment_counters: dict[str, int] = {} + self._stream_formats: dict[str, tuple[int, int]] = {} + self._active_streams: set[str] = set() + + @property + def asr_engine(self) -> FasterWhisperEngine | None: + """Get the ASR engine.""" + return self._asr_engine + + def set_asr_engine(self, engine: FasterWhisperEngine) -> None: + """Set the ASR engine.""" + self._asr_engine = engine + + def _use_database(self) -> bool: + """Check if database persistence is configured.""" + return self._session_factory is not None + + def _get_memory_store(self) -> MeetingStore: + """Get the in-memory store, raising if not configured.""" + if self._memory_store is None: + raise RuntimeError("Memory store not configured") + return self._memory_store + + def _create_uow(self) -> SqlAlchemyUnitOfWork: + """Create a new Unit of Work.""" + if self._session_factory is None: + raise RuntimeError("Database not configured") + return SqlAlchemyUnitOfWork(self._session_factory) + + def _init_streaming_state(self, meeting_id: str, next_segment_id: int) -> None: + """Initialize VAD, Segmenter, and speaking state for a meeting.""" + self._vad_instances[meeting_id] = StreamingVad() + self._segmenters[meeting_id] = Segmenter( + config=SegmenterConfig(sample_rate=self.DEFAULT_SAMPLE_RATE) + ) + self._was_speaking[meeting_id] = False + self._segment_counters[meeting_id] = next_segment_id + + def _cleanup_streaming_state(self, meeting_id: str) -> None: + """Clean up VAD, Segmenter, and speaking state for a meeting.""" + self._vad_instances.pop(meeting_id, None) + self._segmenters.pop(meeting_id, None) + self._was_speaking.pop(meeting_id, None) + self._segment_counters.pop(meeting_id, None) + self._stream_formats.pop(meeting_id, None) + + def _next_segment_id(self, meeting_id: str, fallback: int = 0) -> int: + """Get and increment the next segment id for a meeting.""" + next_id = self._segment_counters.get(meeting_id) + if next_id is None: + next_id = fallback + self._segment_counters[meeting_id] = next_id + 1 + return next_id + + def _normalize_stream_format( + self, + meeting_id: str, + sample_rate: int, + channels: int, + ) -> tuple[int, int]: + """Validate and persist stream audio format for a meeting.""" + normalized_rate = sample_rate or self.DEFAULT_SAMPLE_RATE + normalized_channels = channels or 1 + + if normalized_rate not in self.SUPPORTED_SAMPLE_RATES: + raise ValueError( + "Unsupported sample_rate " + f"{normalized_rate}; supported: {self.SUPPORTED_SAMPLE_RATES}" + ) + if normalized_channels < 1: + raise ValueError("channels must be >= 1") + + existing = self._stream_formats.get(meeting_id) + if existing and existing != (normalized_rate, normalized_channels): + raise ValueError("Stream audio format cannot change mid-stream") + + self._stream_formats.setdefault(meeting_id, (normalized_rate, normalized_channels)) + return normalized_rate, normalized_channels + + def _convert_audio_format( + self, + audio: NDArray[np.float32], + sample_rate: int, + channels: int, + ) -> NDArray[np.float32]: + """Downmix/resample audio to the server's expected format.""" + if channels > 1: + if audio.size % channels != 0: + raise ValueError("Audio buffer size is not divisible by channel count") + audio = audio.reshape(-1, channels).mean(axis=1) + + if sample_rate != self.DEFAULT_SAMPLE_RATE: + audio = self._resample_audio(audio, sample_rate, self.DEFAULT_SAMPLE_RATE) + + return audio + + @staticmethod + def _resample_audio( + audio: NDArray[np.float32], + src_rate: int, + dst_rate: int, + ) -> NDArray[np.float32]: + """Resample audio using linear interpolation.""" + if src_rate == dst_rate or audio.size == 0: + return audio + + ratio = dst_rate / src_rate + new_length = round(audio.shape[0] * ratio) + if new_length <= 0: + return np.array([], dtype=np.float32) + + old_indices = np.arange(audio.shape[0]) + new_indices = np.arange(new_length) / ratio + return np.interp(new_indices, old_indices, audio).astype(np.float32) + + def _close_audio_writer(self, meeting_id: str) -> None: + """Close and remove the audio writer for a meeting.""" + if meeting_id not in self._audio_writers: + return + + try: + writer = self._audio_writers.pop(meeting_id) + writer.close() + logger.info( + "Audio writer closed for meeting %s: %d bytes written", + meeting_id, + writer.bytes_written, + ) + except Exception as e: + logger.error( + "Failed to close audio writer for meeting %s: %s", + meeting_id, + e, + ) + + async def _count_active_meetings_db(self) -> int: + """Count active meetings using database state.""" + async with self._create_uow() as uow: + total = 0 + for state in (MeetingState.RECORDING, MeetingState.STOPPING): + total += await uow.meetings.count_by_state(state) + return total + + async def StreamTranscription( + self, + request_iterator: AsyncIterator[noteflow_pb2.AudioChunk], + context: grpc.aio.ServicerContext, + ) -> AsyncIterator[noteflow_pb2.TranscriptUpdate]: + """Handle bidirectional audio streaming with persistence. + + Receives audio chunks from client, processes through ASR, + persists segments, and yields transcript updates. + """ + if self._asr_engine is None or not self._asr_engine.is_loaded: + await context.abort( + grpc.StatusCode.FAILED_PRECONDITION, + "ASR engine not loaded", + ) + return + + current_meeting_id: str | None = None + + try: + async for chunk in request_iterator: + meeting_id = chunk.meeting_id + if not meeting_id: + await context.abort( + grpc.StatusCode.INVALID_ARGUMENT, + "meeting_id required", + ) + return + + if current_meeting_id is None: + if meeting_id in self._active_streams: + await context.abort( + grpc.StatusCode.FAILED_PRECONDITION, + f"Meeting {meeting_id} already streaming", + ) + return + current_meeting_id = meeting_id + self._active_streams.add(meeting_id) + # Update meeting state to recording and open audio writer + if self._use_database(): + async with self._create_uow() as uow: + meeting = await uow.meetings.get(MeetingId(UUID(meeting_id))) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {meeting_id} not found", + ) + return + + needs_update = False + # Generate and store DEK if not exists + if meeting.wrapped_dek is None: + dek = self._crypto.generate_dek() + wrapped_dek = self._crypto.wrap_dek(dek) + meeting.wrapped_dek = wrapped_dek + needs_update = True + else: + # Unwrap existing DEK + wrapped_dek = meeting.wrapped_dek + dek = self._crypto.unwrap_dek(wrapped_dek) + + try: + if meeting.state != MeetingState.RECORDING: + meeting.start_recording() + needs_update = True + except ValueError as e: + await context.abort(grpc.StatusCode.INVALID_ARGUMENT, str(e)) + return + + if needs_update: + await uow.meetings.update(meeting) + await uow.commit() + + next_segment_id = await uow.segments.get_next_segment_id(meeting.id) + + # Open audio writer for this meeting + writer = MeetingAudioWriter(self._crypto, self._meetings_dir) + writer.open( + meeting_id=meeting_id, + dek=dek, + wrapped_dek=wrapped_dek, + sample_rate=self.DEFAULT_SAMPLE_RATE, + ) + self._audio_writers[meeting_id] = writer + logger.info("Audio writer opened for meeting %s", meeting_id) + self._init_streaming_state(meeting_id, next_segment_id) + else: + store = self._get_memory_store() + meeting = store.get(meeting_id) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {meeting_id} not found", + ) + return + + needs_update = False + if meeting.wrapped_dek is None: + dek = self._crypto.generate_dek() + wrapped_dek = self._crypto.wrap_dek(dek) + meeting.wrapped_dek = wrapped_dek + needs_update = True + else: + wrapped_dek = meeting.wrapped_dek + dek = self._crypto.unwrap_dek(wrapped_dek) + + try: + if meeting.state != MeetingState.RECORDING: + meeting.start_recording() + needs_update = True + except ValueError as e: + await context.abort(grpc.StatusCode.INVALID_ARGUMENT, str(e)) + return + + if needs_update: + store.update(meeting) + + next_segment_id = meeting.next_segment_id + + # In-memory mode: open audio writer too + writer = MeetingAudioWriter(self._crypto, self._meetings_dir) + writer.open( + meeting_id, + dek, + wrapped_dek, + sample_rate=self.DEFAULT_SAMPLE_RATE, + ) + self._audio_writers[meeting_id] = writer + self._init_streaming_state(meeting_id, next_segment_id) + elif meeting_id != current_meeting_id: + await context.abort( + grpc.StatusCode.INVALID_ARGUMENT, + "Stream may only contain a single meeting_id", + ) + return + + try: + sample_rate, channels = self._normalize_stream_format( + current_meeting_id, + chunk.sample_rate, + chunk.channels, + ) + except ValueError as e: + await context.abort(grpc.StatusCode.INVALID_ARGUMENT, str(e)) + return + + audio = self._decode_audio_chunk(chunk) + if audio is None: + continue + + try: + audio = self._convert_audio_format(audio, sample_rate, channels) + except ValueError as e: + await context.abort(grpc.StatusCode.INVALID_ARGUMENT, str(e)) + return + + # Write to encrypted audio file + if meeting_id in self._audio_writers: + try: + self._audio_writers[meeting_id].write_chunk(audio) + except Exception as e: + logger.error("Failed to write audio chunk: %s", e) + # Continue streaming even if write fails + + # VAD-driven segmentation + async for update in self._process_audio_with_vad(meeting_id, audio): + yield update + + # Flush any remaining audio from segmenter + if current_meeting_id and current_meeting_id in self._segmenters: + async for update in self._flush_segmenter(current_meeting_id): + yield update + finally: + if current_meeting_id: + self._cleanup_streaming_state(current_meeting_id) + self._close_audio_writer(current_meeting_id) + self._active_streams.discard(current_meeting_id) + + def _decode_audio_chunk( + self, + chunk: noteflow_pb2.AudioChunk, + ) -> NDArray[np.float32] | None: + """Decode audio chunk from protobuf to numpy array.""" + if not chunk.audio_data: + return None + try: + return np.frombuffer(chunk.audio_data, dtype=np.float32) + except (ValueError, struct.error) as e: + logger.warning("Failed to decode audio chunk: %s", e) + return None + + async def _process_audio_with_vad( + self, + meeting_id: str, + audio: NDArray[np.float32], + ) -> AsyncIterator[noteflow_pb2.TranscriptUpdate]: + """Process audio chunk through VAD and Segmenter. + + Args: + meeting_id: Meeting identifier. + audio: Audio samples (float32, mono). + + Yields: + TranscriptUpdates for VAD events and segments. + """ + vad = self._vad_instances.get(meeting_id) + segmenter = self._segmenters.get(meeting_id) + + if vad is None or segmenter is None: + return + + # Get VAD decision + is_speech = vad.process_chunk(audio) + + # Emit VAD state change events + was_speaking = self._was_speaking.get(meeting_id, False) + if is_speech and not was_speaking: + # Speech started + yield self._create_vad_update(meeting_id, noteflow_pb2.UPDATE_TYPE_VAD_START) + self._was_speaking[meeting_id] = True + elif not is_speech and was_speaking: + # Speech ended + yield self._create_vad_update(meeting_id, noteflow_pb2.UPDATE_TYPE_VAD_END) + self._was_speaking[meeting_id] = False + + # Process through segmenter + for audio_segment in segmenter.process_audio(audio, is_speech): + async for update in self._process_audio_segment(meeting_id, audio_segment.audio): + yield update + + async def _flush_segmenter( + self, + meeting_id: str, + ) -> AsyncIterator[noteflow_pb2.TranscriptUpdate]: + """Flush remaining audio from segmenter at stream end. + + Args: + meeting_id: Meeting identifier. + + Yields: + TranscriptUpdates for final segment. + """ + segmenter = self._segmenters.get(meeting_id) + if segmenter is None: + return + + final_segment = segmenter.flush() + if final_segment is not None: + async for update in self._process_audio_segment(meeting_id, final_segment.audio): + yield update + + async def _process_audio_segment( + self, + meeting_id: str, + audio: NDArray[np.float32], + ) -> AsyncIterator[noteflow_pb2.TranscriptUpdate]: + """Process a complete audio segment through ASR. + + Args: + meeting_id: Meeting identifier. + audio: Complete audio segment. + + Yields: + TranscriptUpdates for transcribed segments. + """ + if len(audio) == 0 or self._asr_engine is None: + return + + if self._use_database(): + async with self._create_uow() as uow: + meeting = await uow.meetings.get(MeetingId(UUID(meeting_id))) + if meeting is None: + return + + for result in self._asr_engine.transcribe(audio): + segment_id = self._next_segment_id( + meeting_id, + fallback=meeting.next_segment_id, + ) + segment = self._create_segment_from_asr(meeting.id, segment_id, result) + meeting.add_segment(segment) + await uow.segments.add(meeting.id, segment) + await uow.commit() + yield self._segment_to_proto_update(meeting_id, segment) + else: + store = self._get_memory_store() + meeting = store.get(meeting_id) + if meeting is None: + return + for result in self._asr_engine.transcribe(audio): + segment_id = self._next_segment_id( + meeting_id, + fallback=meeting.next_segment_id, + ) + segment = self._create_segment_from_asr(meeting.id, segment_id, result) + store.add_segment(meeting_id, segment) + yield self._segment_to_proto_update(meeting_id, segment) + + def _create_vad_update( + self, + meeting_id: str, + update_type: int, + ) -> noteflow_pb2.TranscriptUpdate: + """Create a VAD event update. + + Args: + meeting_id: Meeting identifier. + update_type: VAD_START or VAD_END. + + Returns: + TranscriptUpdate with VAD event. + """ + return noteflow_pb2.TranscriptUpdate( + meeting_id=meeting_id, + update_type=update_type, + server_timestamp=time.time(), + ) + + def _create_segment_from_asr( + self, + meeting_id: MeetingId, + segment_id: int, + result: AsrResult, + ) -> Segment: + """Create a Segment from ASR result. + + Use converters to transform ASR DTO to domain entities. + """ + words = AsrConverter.result_to_domain_words(result) + + return Segment( + segment_id=segment_id, + text=result.text, + start_time=result.start, + end_time=result.end, + meeting_id=meeting_id, + words=words, + language=result.language, + language_confidence=result.language_probability, + avg_logprob=result.avg_logprob, + no_speech_prob=result.no_speech_prob, + ) + + def _segment_to_proto_update( + self, + meeting_id: str, + segment: Segment, + ) -> noteflow_pb2.TranscriptUpdate: + """Convert domain Segment to protobuf TranscriptUpdate.""" + words = [ + noteflow_pb2.WordTiming( + word=w.word, + start_time=w.start_time, + end_time=w.end_time, + probability=w.probability, + ) + for w in segment.words + ] + final_segment = noteflow_pb2.FinalSegment( + segment_id=segment.segment_id, + text=segment.text, + start_time=segment.start_time, + end_time=segment.end_time, + words=words, + language=segment.language, + language_confidence=segment.language_confidence, + avg_logprob=segment.avg_logprob, + no_speech_prob=segment.no_speech_prob, + ) + return noteflow_pb2.TranscriptUpdate( + meeting_id=meeting_id, + update_type=noteflow_pb2.UPDATE_TYPE_FINAL, + segment=final_segment, + server_timestamp=time.time(), + ) + + async def CreateMeeting( + self, + request: noteflow_pb2.CreateMeetingRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.Meeting: + """Create a new meeting.""" + metadata = dict(request.metadata) if request.metadata else {} + + if self._use_database(): + async with self._create_uow() as uow: + meeting = Meeting.create(title=request.title, metadata=metadata) + saved = await uow.meetings.create(meeting) + await uow.commit() + return self._meeting_to_proto(saved) + else: + store = self._get_memory_store() + meeting = store.create(title=request.title, metadata=metadata) + return self._meeting_to_proto(meeting) + + async def StopMeeting( + self, + request: noteflow_pb2.StopMeetingRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.Meeting: + """Stop a meeting using graceful STOPPING -> STOPPED transition.""" + meeting_id = request.meeting_id + + # Close audio writer if open + if meeting_id in self._audio_writers: + self._close_audio_writer(meeting_id) + + if self._use_database(): + async with self._create_uow() as uow: + meeting = await uow.meetings.get(MeetingId(UUID(meeting_id))) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {meeting_id} not found", + ) + return noteflow_pb2.Meeting() + try: + # Graceful shutdown: RECORDING -> STOPPING -> STOPPED + meeting.begin_stopping() + meeting.stop_recording() + except ValueError as e: + await context.abort(grpc.StatusCode.INVALID_ARGUMENT, str(e)) + return noteflow_pb2.Meeting() + await uow.meetings.update(meeting) + await uow.commit() + return self._meeting_to_proto(meeting) + else: + store = self._get_memory_store() + meeting = store.get(meeting_id) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {meeting_id} not found", + ) + return noteflow_pb2.Meeting() + try: + # Graceful shutdown: RECORDING -> STOPPING -> STOPPED + meeting.begin_stopping() + meeting.stop_recording() + except ValueError as e: + await context.abort(grpc.StatusCode.INVALID_ARGUMENT, str(e)) + return noteflow_pb2.Meeting() + store.update(meeting) + return self._meeting_to_proto(meeting) + + async def ListMeetings( + self, + request: noteflow_pb2.ListMeetingsRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.ListMeetingsResponse: + """List meetings.""" + limit = request.limit or 100 + offset = request.offset or 0 + sort_desc = request.sort_order != noteflow_pb2.SORT_ORDER_CREATED_ASC + + if self._use_database(): + states = [MeetingState(s) for s in request.states] if request.states else None + async with self._create_uow() as uow: + meetings, total = await uow.meetings.list_all( + states=states, + limit=limit, + offset=offset, + sort_desc=sort_desc, + ) + return noteflow_pb2.ListMeetingsResponse( + meetings=[self._meeting_to_proto(m, include_segments=False) for m in meetings], + total_count=total, + ) + else: + store = self._get_memory_store() + states = [MeetingState(s) for s in request.states] if request.states else None + meetings, total = store.list_all( + states=states, + limit=limit, + offset=offset, + sort_desc=sort_desc, + ) + return noteflow_pb2.ListMeetingsResponse( + meetings=[self._meeting_to_proto(m, include_segments=False) for m in meetings], + total_count=total, + ) + + async def GetMeeting( + self, + request: noteflow_pb2.GetMeetingRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.Meeting: + """Get meeting details.""" + if self._use_database(): + async with self._create_uow() as uow: + meeting = await uow.meetings.get(MeetingId(UUID(request.meeting_id))) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {request.meeting_id} not found", + ) + return noteflow_pb2.Meeting() + # Load segments if requested + if request.include_segments: + segments = await uow.segments.get_by_meeting(meeting.id) + meeting.segments = list(segments) + # Load summary if requested + if request.include_summary: + summary = await uow.summaries.get_by_meeting(meeting.id) + meeting.summary = summary + return self._meeting_to_proto( + meeting, + include_segments=request.include_segments, + include_summary=request.include_summary, + ) + else: + store = self._get_memory_store() + meeting = store.get(request.meeting_id) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {request.meeting_id} not found", + ) + return noteflow_pb2.Meeting() + return self._meeting_to_proto( + meeting, + include_segments=request.include_segments, + include_summary=request.include_summary, + ) + + async def DeleteMeeting( + self, + request: noteflow_pb2.DeleteMeetingRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.DeleteMeetingResponse: + """Delete a meeting.""" + if self._use_database(): + async with self._create_uow() as uow: + success = await uow.meetings.delete(MeetingId(UUID(request.meeting_id))) + if success: + await uow.commit() + else: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {request.meeting_id} not found", + ) + return noteflow_pb2.DeleteMeetingResponse(success=success) + else: + store = self._get_memory_store() + success = store.delete(request.meeting_id) + if not success: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {request.meeting_id} not found", + ) + return noteflow_pb2.DeleteMeetingResponse(success=success) + + async def GenerateSummary( + self, + request: noteflow_pb2.GenerateSummaryRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.Summary: + """Generate meeting summary (placeholder - M4 will add LLM).""" + if self._use_database(): + async with self._create_uow() as uow: + meeting = await uow.meetings.get(MeetingId(UUID(request.meeting_id))) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {request.meeting_id} not found", + ) + return noteflow_pb2.Summary() + + # Check existing summary + existing = await uow.summaries.get_by_meeting(meeting.id) + if existing and not request.force_regenerate: + return self._summary_to_proto(existing) + + # Load segments for summary generation + segments = await uow.segments.get_by_meeting(meeting.id) + summary = self._generate_placeholder_summary(meeting.id, segments) + saved = await uow.summaries.save(summary) + await uow.commit() + return self._summary_to_proto(saved) + else: + store = self._get_memory_store() + meeting = store.get(request.meeting_id) + if meeting is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Meeting {request.meeting_id} not found", + ) + return noteflow_pb2.Summary() + + if meeting.summary and not request.force_regenerate: + return self._summary_to_proto(meeting.summary) + + summary = self._generate_placeholder_summary(meeting.id, meeting.segments) + store.set_summary(request.meeting_id, summary) + return self._summary_to_proto(summary) + + def _generate_placeholder_summary( + self, + meeting_id: MeetingId, + segments: list[Segment], + ) -> Summary: + """Generate a placeholder summary from segments.""" + full_text = " ".join(s.text for s in segments) + executive = f"{full_text[:200]}..." if len(full_text) > 200 else full_text + + return Summary( + meeting_id=meeting_id, + executive_summary=executive or "No transcript available.", + generated_at=datetime.now(UTC), + model_version="placeholder-v0", + ) + + async def GetServerInfo( + self, + request: noteflow_pb2.ServerInfoRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.ServerInfo: + """Get server information.""" + asr_model = "" + asr_ready = False + if self._asr_engine: + asr_ready = self._asr_engine.is_loaded + asr_model = self._asr_engine.model_size or "" + + if self._use_database(): + active = await self._count_active_meetings_db() + else: + active = self._get_memory_store().active_count + + return noteflow_pb2.ServerInfo( + version=self.VERSION, + asr_model=asr_model, + asr_ready=asr_ready, + supported_sample_rates=self.SUPPORTED_SAMPLE_RATES, + max_chunk_size=self.MAX_CHUNK_SIZE, + uptime_seconds=time.time() - self._start_time, + active_meetings=active, + ) + + def _meeting_to_proto( + self, + meeting: Meeting, + include_segments: bool = True, + include_summary: bool = True, + ) -> noteflow_pb2.Meeting: + """Convert domain Meeting to protobuf.""" + segments = [] + if include_segments: + for seg in meeting.segments: + words = [ + noteflow_pb2.WordTiming( + word=w.word, + start_time=w.start_time, + end_time=w.end_time, + probability=w.probability, + ) + for w in seg.words + ] + segments.append( + noteflow_pb2.FinalSegment( + segment_id=seg.segment_id, + text=seg.text, + start_time=seg.start_time, + end_time=seg.end_time, + words=words, + language=seg.language, + language_confidence=seg.language_confidence, + avg_logprob=seg.avg_logprob, + no_speech_prob=seg.no_speech_prob, + ) + ) + + summary = None + if include_summary and meeting.summary: + summary = self._summary_to_proto(meeting.summary) + + return noteflow_pb2.Meeting( + id=str(meeting.id), + title=meeting.title, + state=meeting.state.value, + created_at=meeting.created_at.timestamp(), + started_at=meeting.started_at.timestamp() if meeting.started_at else 0, + ended_at=meeting.ended_at.timestamp() if meeting.ended_at else 0, + duration_seconds=meeting.duration_seconds, + segments=segments, + summary=summary, + metadata=meeting.metadata, + ) + + def _summary_to_proto(self, summary: Summary) -> noteflow_pb2.Summary: + """Convert domain Summary to protobuf.""" + key_points = [ + noteflow_pb2.KeyPoint( + text=kp.text, + segment_ids=kp.segment_ids, + start_time=kp.start_time, + end_time=kp.end_time, + ) + for kp in summary.key_points + ] + action_items = [ + noteflow_pb2.ActionItem( + text=ai.text, + assignee=ai.assignee, + due_date=ai.due_date.timestamp() if ai.due_date is not None else 0, + priority=ai.priority, + segment_ids=ai.segment_ids, + ) + for ai in summary.action_items + ] + return noteflow_pb2.Summary( + meeting_id=str(summary.meeting_id), + executive_summary=summary.executive_summary, + key_points=key_points, + action_items=action_items, + generated_at=( + summary.generated_at.timestamp() if summary.generated_at is not None else 0 + ), + model_version=summary.model_version, + ) + + # ========================================================================= + # Annotation Methods + # ========================================================================= + + async def AddAnnotation( + self, + request: noteflow_pb2.AddAnnotationRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.Annotation: + """Add an annotation to a meeting.""" + if not self._use_database(): + await context.abort( + grpc.StatusCode.UNIMPLEMENTED, + "Annotations require database persistence", + ) + return noteflow_pb2.Annotation() + + annotation_type = self._proto_to_annotation_type(request.annotation_type) + from uuid import uuid4 + + annotation = Annotation( + id=AnnotationId(uuid4()), + meeting_id=MeetingId(UUID(request.meeting_id)), + annotation_type=annotation_type, + text=request.text, + start_time=request.start_time, + end_time=request.end_time, + segment_ids=list(request.segment_ids), + ) + + async with self._create_uow() as uow: + saved = await uow.annotations.add(annotation) + await uow.commit() + return self._annotation_to_proto(saved) + + async def GetAnnotation( + self, + request: noteflow_pb2.GetAnnotationRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.Annotation: + """Get an annotation by ID.""" + if not self._use_database(): + await context.abort( + grpc.StatusCode.UNIMPLEMENTED, + "Annotations require database persistence", + ) + return noteflow_pb2.Annotation() + + async with self._create_uow() as uow: + annotation = await uow.annotations.get(AnnotationId(UUID(request.annotation_id))) + if annotation is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Annotation {request.annotation_id} not found", + ) + return noteflow_pb2.Annotation() + return self._annotation_to_proto(annotation) + + async def ListAnnotations( + self, + request: noteflow_pb2.ListAnnotationsRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.ListAnnotationsResponse: + """List annotations for a meeting.""" + if not self._use_database(): + await context.abort( + grpc.StatusCode.UNIMPLEMENTED, + "Annotations require database persistence", + ) + return noteflow_pb2.ListAnnotationsResponse() + + async with self._create_uow() as uow: + meeting_id = MeetingId(UUID(request.meeting_id)) + # Check if time range filter is specified + if request.start_time > 0 or request.end_time > 0: + annotations = await uow.annotations.get_by_time_range( + meeting_id, + request.start_time, + request.end_time, + ) + else: + annotations = await uow.annotations.get_by_meeting(meeting_id) + + return noteflow_pb2.ListAnnotationsResponse( + annotations=[self._annotation_to_proto(a) for a in annotations] + ) + + async def UpdateAnnotation( + self, + request: noteflow_pb2.UpdateAnnotationRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.Annotation: + """Update an existing annotation.""" + if not self._use_database(): + await context.abort( + grpc.StatusCode.UNIMPLEMENTED, + "Annotations require database persistence", + ) + return noteflow_pb2.Annotation() + + async with self._create_uow() as uow: + annotation = await uow.annotations.get(AnnotationId(UUID(request.annotation_id))) + if annotation is None: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Annotation {request.annotation_id} not found", + ) + return noteflow_pb2.Annotation() + + # Update fields if provided + if request.annotation_type != noteflow_pb2.ANNOTATION_TYPE_UNSPECIFIED: + annotation.annotation_type = self._proto_to_annotation_type(request.annotation_type) + if request.text: + annotation.text = request.text + if request.start_time > 0: + annotation.start_time = request.start_time + if request.end_time > 0: + annotation.end_time = request.end_time + if request.segment_ids: + annotation.segment_ids = list(request.segment_ids) + + updated = await uow.annotations.update(annotation) + await uow.commit() + return self._annotation_to_proto(updated) + + async def DeleteAnnotation( + self, + request: noteflow_pb2.DeleteAnnotationRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.DeleteAnnotationResponse: + """Delete an annotation.""" + if not self._use_database(): + await context.abort( + grpc.StatusCode.UNIMPLEMENTED, + "Annotations require database persistence", + ) + return noteflow_pb2.DeleteAnnotationResponse(success=False) + + async with self._create_uow() as uow: + success = await uow.annotations.delete(AnnotationId(UUID(request.annotation_id))) + if success: + await uow.commit() + else: + await context.abort( + grpc.StatusCode.NOT_FOUND, + f"Annotation {request.annotation_id} not found", + ) + return noteflow_pb2.DeleteAnnotationResponse(success=success) + + def _annotation_to_proto( + self, + annotation: Annotation, + ) -> noteflow_pb2.Annotation: + """Convert domain Annotation to protobuf.""" + return noteflow_pb2.Annotation( + id=str(annotation.id), + meeting_id=str(annotation.meeting_id), + annotation_type=self._annotation_type_to_proto(annotation.annotation_type), + text=annotation.text, + start_time=annotation.start_time, + end_time=annotation.end_time, + segment_ids=annotation.segment_ids, + created_at=annotation.created_at.timestamp(), + ) + + def _annotation_type_to_proto( + self, + annotation_type: AnnotationType, + ) -> int: + """Convert domain AnnotationType to protobuf enum.""" + mapping = { + AnnotationType.ACTION_ITEM: noteflow_pb2.ANNOTATION_TYPE_ACTION_ITEM, + AnnotationType.DECISION: noteflow_pb2.ANNOTATION_TYPE_DECISION, + AnnotationType.NOTE: noteflow_pb2.ANNOTATION_TYPE_NOTE, + } + return mapping.get(annotation_type, noteflow_pb2.ANNOTATION_TYPE_UNSPECIFIED) + + def _proto_to_annotation_type( + self, + proto_type: int, + ) -> AnnotationType: + """Convert protobuf enum to domain AnnotationType.""" + mapping = { + noteflow_pb2.ANNOTATION_TYPE_ACTION_ITEM: AnnotationType.ACTION_ITEM, + noteflow_pb2.ANNOTATION_TYPE_DECISION: AnnotationType.DECISION, + noteflow_pb2.ANNOTATION_TYPE_NOTE: AnnotationType.NOTE, + } + return mapping.get(proto_type, AnnotationType.NOTE) + + # ========================================================================= + # Export Methods + # ========================================================================= + + async def ExportTranscript( + self, + request: noteflow_pb2.ExportTranscriptRequest, + context: grpc.aio.ServicerContext, + ) -> noteflow_pb2.ExportTranscriptResponse: + """Export meeting transcript to specified format.""" + if not self._use_database(): + await context.abort( + grpc.StatusCode.UNIMPLEMENTED, + "Export requires database persistence", + ) + return noteflow_pb2.ExportTranscriptResponse() + + # Map proto format to ExportFormat + fmt = self._proto_to_export_format(request.format) + + export_service = ExportService(self._create_uow()) + try: + content = await export_service.export_transcript( + MeetingId(UUID(request.meeting_id)), + fmt, + ) + exporter_info = export_service.get_supported_formats() + fmt_name = "" + fmt_ext = "" + for name, ext in exporter_info: + if fmt == ExportFormat.MARKDOWN and ext == ".md": + fmt_name, fmt_ext = name, ext + break + if fmt == ExportFormat.HTML and ext == ".html": + fmt_name, fmt_ext = name, ext + break + + return noteflow_pb2.ExportTranscriptResponse( + content=content, + format_name=fmt_name, + file_extension=fmt_ext, + ) + except ValueError as e: + await context.abort( + grpc.StatusCode.NOT_FOUND, + str(e), + ) + return noteflow_pb2.ExportTranscriptResponse() + + def _proto_to_export_format(self, proto_format: int) -> ExportFormat: + """Convert protobuf ExportFormat to domain ExportFormat.""" + if proto_format == noteflow_pb2.EXPORT_FORMAT_HTML: + return ExportFormat.HTML + return ExportFormat.MARKDOWN # Default to Markdown diff --git a/src/noteflow/infrastructure/__init__.py b/src/noteflow/infrastructure/__init__.py new file mode 100644 index 0000000..a0c285d --- /dev/null +++ b/src/noteflow/infrastructure/__init__.py @@ -0,0 +1,7 @@ +"""NoteFlow infrastructure layer. + +Contains implementations of ports and adapters for external systems: +- asr: Speech-to-text transcription (faster-whisper) +- persistence: Database access (SQLAlchemy + PostgreSQL) +- security: Encryption and key management (AES-GCM + OS keychain) +""" diff --git a/src/noteflow/infrastructure/__pycache__/__init__.cpython-312.pyc b/src/noteflow/infrastructure/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..9bf62e8 Binary files /dev/null and b/src/noteflow/infrastructure/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/asr/__init__.py b/src/noteflow/infrastructure/asr/__init__.py new file mode 100644 index 0000000..7470772 --- /dev/null +++ b/src/noteflow/infrastructure/asr/__init__.py @@ -0,0 +1,44 @@ +"""ASR infrastructure module. + +Provides speech-to-text transcription using faster-whisper. +""" + +from noteflow.infrastructure.asr.dto import ( + AsrResult, + PartialUpdate, + VadEvent, + VadEventType, + WordTiming, +) +from noteflow.infrastructure.asr.engine import FasterWhisperEngine +from noteflow.infrastructure.asr.protocols import AsrEngine +from noteflow.infrastructure.asr.segmenter import ( + AudioSegment, + Segmenter, + SegmenterConfig, + SegmenterState, +) +from noteflow.infrastructure.asr.streaming_vad import ( + EnergyVad, + EnergyVadConfig, + StreamingVad, + VadEngine, +) + +__all__ = [ + "AsrEngine", + "AsrResult", + "AudioSegment", + "EnergyVad", + "EnergyVadConfig", + "FasterWhisperEngine", + "PartialUpdate", + "Segmenter", + "SegmenterConfig", + "SegmenterState", + "StreamingVad", + "VadEngine", + "VadEvent", + "VadEventType", + "WordTiming", +] diff --git a/src/noteflow/infrastructure/asr/__pycache__/__init__.cpython-312.pyc b/src/noteflow/infrastructure/asr/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..ff69d67 Binary files /dev/null and b/src/noteflow/infrastructure/asr/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/asr/__pycache__/dto.cpython-312.pyc b/src/noteflow/infrastructure/asr/__pycache__/dto.cpython-312.pyc new file mode 100644 index 0000000..2f3a823 Binary files /dev/null and b/src/noteflow/infrastructure/asr/__pycache__/dto.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/asr/__pycache__/engine.cpython-312.pyc 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mode 100644 index 0000000..541960e Binary files /dev/null and b/src/noteflow/infrastructure/asr/__pycache__/streaming_vad.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/asr/dto.py b/src/noteflow/infrastructure/asr/dto.py new file mode 100644 index 0000000..de734b0 --- /dev/null +++ b/src/noteflow/infrastructure/asr/dto.py @@ -0,0 +1,90 @@ +"""Data Transfer Objects for ASR. + +These DTOs define the data structures used by ASR components. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from enum import Enum + + +@dataclass(frozen=True) +class WordTiming: + """Word-level timing information.""" + + word: str + start: float # Start time in seconds + end: float # End time in seconds + probability: float # Confidence (0.0-1.0) + + def __post_init__(self) -> None: + """Validate timing data.""" + if self.end < self.start: + raise ValueError(f"Word end ({self.end}) < start ({self.start})") + if not 0.0 <= self.probability <= 1.0: + raise ValueError(f"Probability must be 0.0-1.0, got {self.probability}") + + +@dataclass(frozen=True) +class AsrResult: + """ASR transcription result for a segment.""" + + text: str + start: float # Start time in seconds + end: float # End time in seconds + words: tuple[WordTiming, ...] = field(default_factory=tuple) + language: str = "en" + language_probability: float = 1.0 + avg_logprob: float = 0.0 + no_speech_prob: float = 0.0 + + def __post_init__(self) -> None: + """Validate result data.""" + if self.end < self.start: + raise ValueError(f"Segment end ({self.end}) < start ({self.start})") + + @property + def duration(self) -> float: + """Duration of the segment in seconds.""" + return self.end - self.start + + +@dataclass +class PartialUpdate: + """Unstable partial transcript (may be replaced).""" + + text: str + start: float + end: float + + def __post_init__(self) -> None: + """Validate partial data.""" + if self.end < self.start: + raise ValueError(f"Partial end ({self.end}) < start ({self.start})") + + +class VadEventType(Enum): + """Voice Activity Detection event types.""" + + SPEECH_START = "speech_start" + SPEECH_END = "speech_end" + + +@dataclass(frozen=True) +class VadEvent: + """Voice Activity Detection event. + + Represents a speech/silence transition detected by VAD. + """ + + event_type: VadEventType + timestamp: float # Seconds from stream start + confidence: float = 1.0 # Detection confidence (0.0-1.0) + + def __post_init__(self) -> None: + """Validate event data.""" + if self.timestamp < 0: + raise ValueError(f"Timestamp must be non-negative, got {self.timestamp}") + if not 0.0 <= self.confidence <= 1.0: + raise ValueError(f"Confidence must be 0.0-1.0, got {self.confidence}") diff --git a/src/noteflow/infrastructure/asr/engine.py b/src/noteflow/infrastructure/asr/engine.py new file mode 100644 index 0000000..9d8b8e5 --- /dev/null +++ b/src/noteflow/infrastructure/asr/engine.py @@ -0,0 +1,178 @@ +"""ASR engine implementation using faster-whisper. + +Provides Whisper-based transcription with word-level timestamps. +""" + +from __future__ import annotations + +import logging +from collections.abc import Iterator +from typing import TYPE_CHECKING, Final + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + +from noteflow.infrastructure.asr.dto import AsrResult, WordTiming + +logger = logging.getLogger(__name__) + +# Available model sizes +VALID_MODEL_SIZES: Final[tuple[str, ...]] = ( + "tiny", + "tiny.en", + "base", + "base.en", + "small", + "small.en", + "medium", + "medium.en", + "large-v1", + "large-v2", + "large-v3", +) + + +class FasterWhisperEngine: + """faster-whisper based ASR engine. + + Uses CTranslate2 for efficient Whisper inference on CPU or GPU. + """ + + def __init__( + self, + compute_type: str = "int8", + device: str = "cpu", + num_workers: int = 1, + ) -> None: + """Initialize the engine. + + Args: + compute_type: Computation type ("int8", "float16", "float32"). + device: Device to use ("cpu" or "cuda"). + num_workers: Number of worker threads. + """ + self._compute_type = compute_type + self._device = device + self._num_workers = num_workers + self._model = None + self._model_size: str | None = None + + def load_model(self, model_size: str = "base") -> None: + """Load the ASR model. + + Args: + model_size: Model size (e.g., "tiny", "base", "small"). + + Raises: + ValueError: If model_size is invalid. + RuntimeError: If model loading fails. + """ + from faster_whisper import WhisperModel + + if model_size not in VALID_MODEL_SIZES: + raise ValueError( + f"Invalid model size: {model_size}. Valid sizes: {', '.join(VALID_MODEL_SIZES)}" + ) + + logger.info( + "Loading Whisper model '%s' on %s with %s compute...", + model_size, + self._device, + self._compute_type, + ) + + try: + self._model = WhisperModel( + model_size, + device=self._device, + compute_type=self._compute_type, + num_workers=self._num_workers, + ) + self._model_size = model_size + logger.info("Model loaded successfully") + except Exception as e: + raise RuntimeError(f"Failed to load model: {e}") from e + + def transcribe( + self, + audio: NDArray[np.float32], + language: str | None = None, + ) -> Iterator[AsrResult]: + """Transcribe audio and yield results. + + Args: + audio: Audio samples as float32 array (16kHz mono, normalized). + language: Optional language code (e.g., "en"). + + Yields: + AsrResult segments with word-level timestamps. + """ + if self._model is None: + raise RuntimeError("Model not loaded. Call load_model() first.") + + # Transcribe with word timestamps + segments, info = self._model.transcribe( + audio, + language=language, + word_timestamps=True, + beam_size=5, + vad_filter=True, # Filter out non-speech + ) + + logger.debug( + "Detected language: %s (prob: %.2f)", + info.language, + info.language_probability, + ) + + for segment in segments: + # Convert word info to WordTiming objects + words: list[WordTiming] = [] + if segment.words: + words = [ + WordTiming( + word=word.word, + start=word.start, + end=word.end, + probability=word.probability, + ) + for word in segment.words + ] + + yield AsrResult( + text=segment.text.strip(), + start=segment.start, + end=segment.end, + words=tuple(words), + language=info.language, + language_probability=info.language_probability, + avg_logprob=segment.avg_logprob, + no_speech_prob=segment.no_speech_prob, + ) + + @property + def is_loaded(self) -> bool: + """Return True if model is loaded.""" + return self._model is not None + + @property + def model_size(self) -> str | None: + """Return the loaded model size, or None if not loaded.""" + return self._model_size + + def unload(self) -> None: + """Unload the model to free memory.""" + self._model = None + self._model_size = None + logger.info("Model unloaded") + + @property + def compute_type(self) -> str: + """Return the compute type.""" + return self._compute_type + + @property + def device(self) -> str: + """Return the device.""" + return self._device diff --git a/src/noteflow/infrastructure/asr/protocols.py b/src/noteflow/infrastructure/asr/protocols.py new file mode 100644 index 0000000..db28e96 --- /dev/null +++ b/src/noteflow/infrastructure/asr/protocols.py @@ -0,0 +1,66 @@ +"""ASR protocols defining contracts for ASR components.""" + +from __future__ import annotations + +from collections.abc import Iterator +from typing import TYPE_CHECKING, Protocol + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + + from noteflow.infrastructure.asr.dto import AsrResult + + +class AsrEngine(Protocol): + """Protocol for ASR transcription engine. + + Implementations should handle model loading, caching, and inference. + """ + + def load_model(self, model_size: str = "base") -> None: + """Load the ASR model. + + Downloads the model if not cached. + + Args: + model_size: Model size ("tiny", "base", "small", "medium", "large"). + + Raises: + ValueError: If model_size is invalid. + RuntimeError: If model loading fails. + """ + ... + + def transcribe( + self, + audio: NDArray[np.float32], + language: str | None = None, + ) -> Iterator[AsrResult]: + """Transcribe audio and yield results. + + Args: + audio: Audio samples as float32 array (16kHz mono, normalized). + language: Optional language code (e.g., "en"). Auto-detected if None. + + Yields: + AsrResult segments. + + Raises: + RuntimeError: If model not loaded. + """ + ... + + @property + def is_loaded(self) -> bool: + """Return True if model is loaded.""" + ... + + @property + def model_size(self) -> str | None: + """Return the loaded model size, or None if not loaded.""" + ... + + def unload(self) -> None: + """Unload the model to free memory.""" + ... diff --git a/src/noteflow/infrastructure/asr/segmenter.py b/src/noteflow/infrastructure/asr/segmenter.py new file mode 100644 index 0000000..7008b96 --- /dev/null +++ b/src/noteflow/infrastructure/asr/segmenter.py @@ -0,0 +1,268 @@ +"""Audio segmenter with VAD-driven state machine. + +Manages speech segment boundaries using Voice Activity Detection. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from enum import Enum, auto +from typing import TYPE_CHECKING + +import numpy as np +from numpy.typing import NDArray + +if TYPE_CHECKING: + from collections.abc import Iterator + + +class SegmenterState(Enum): + """Segmenter state machine states.""" + + IDLE = auto() # Waiting for speech + SPEECH = auto() # Speech detected, accumulating audio + TRAILING = auto() # Speech ended, collecting trailing audio + + +@dataclass +class SegmenterConfig: + """Configuration for segmenter behavior.""" + + # Minimum speech duration to consider valid (seconds) + min_speech_duration: float = 0.3 + # Maximum segment duration before forced split (seconds) + max_segment_duration: float = 30.0 + # Trailing silence to include after speech ends (seconds) + trailing_silence: float = 0.5 + # Leading audio to include before speech starts (seconds) + leading_buffer: float = 0.2 + # Sample rate for audio processing + sample_rate: int = 16000 + + +@dataclass +class AudioSegment: + """A completed audio segment ready for transcription.""" + + audio: NDArray[np.float32] + start_time: float + end_time: float + + @property + def duration(self) -> float: + """Segment duration in seconds.""" + return self.end_time - self.start_time + + +@dataclass +class Segmenter: + """VAD-driven audio segmenter with state machine. + + Accumulates audio during speech and emits complete segments + when speech ends or max duration is reached. + """ + + config: SegmenterConfig = field(default_factory=SegmenterConfig) + + # State machine + _state: SegmenterState = field(default=SegmenterState.IDLE, init=False) + + # Timing tracking + _stream_time: float = field(default=0.0, init=False) + _speech_start_time: float = field(default=0.0, init=False) + _leading_duration: float = field(default=0.0, init=False) + + # Audio buffers + _leading_buffer: list[NDArray[np.float32]] = field(default_factory=list, init=False) + _speech_buffer: list[NDArray[np.float32]] = field(default_factory=list, init=False) + _trailing_buffer: list[NDArray[np.float32]] = field(default_factory=list, init=False) + _trailing_duration: float = field(default=0.0, init=False) + + @property + def state(self) -> SegmenterState: + """Get current segmenter state.""" + return self._state + + def reset(self) -> None: + """Reset segmenter to initial state.""" + self._state = SegmenterState.IDLE + self._stream_time = 0.0 + self._speech_start_time = 0.0 + self._leading_duration = 0.0 + self._leading_buffer.clear() + self._speech_buffer.clear() + self._trailing_buffer.clear() + self._trailing_duration = 0.0 + + def process_audio( + self, + audio: NDArray[np.float32], + is_speech: bool, + ) -> Iterator[AudioSegment]: + """Process audio chunk with VAD decision. + + Args: + audio: Audio samples (float32, mono). + is_speech: VAD decision for this chunk. + + Yields: + Complete AudioSegment when speech ends or max duration reached. + """ + chunk_duration = len(audio) / self.config.sample_rate + chunk_start = self._stream_time + self._stream_time += chunk_duration + + if self._state == SegmenterState.IDLE: + yield from self._handle_idle(audio, is_speech, chunk_start) + elif self._state == SegmenterState.SPEECH: + yield from self._handle_speech(audio, is_speech, chunk_start, chunk_duration) + elif self._state == SegmenterState.TRAILING: + yield from self._handle_trailing(audio, is_speech, chunk_start, chunk_duration) + + def flush(self) -> AudioSegment | None: + """Flush any pending audio as a segment. + + Call when stream ends to get final segment. + + Returns: + Remaining audio segment if valid, None otherwise. + """ + if self._state in (SegmenterState.SPEECH, SegmenterState.TRAILING): + segment = self._emit_segment() + self._state = SegmenterState.IDLE + return segment + return None + + def _handle_idle( + self, + audio: NDArray[np.float32], + is_speech: bool, + chunk_start: float, + ) -> Iterator[AudioSegment]: + """Handle audio in IDLE state.""" + if is_speech: + # Speech started - transition to SPEECH state + self._state = SegmenterState.SPEECH + self._speech_start_time = chunk_start + + # Capture how much pre-speech audio we are including. + leading_samples = sum(len(chunk) for chunk in self._leading_buffer) + self._leading_duration = leading_samples / self.config.sample_rate + + # Include leading buffer (pre-speech audio) + self._speech_buffer = list(self._leading_buffer) + self._speech_buffer.append(audio) + self._leading_buffer.clear() + else: + # Still idle - maintain leading buffer + self._update_leading_buffer(audio) + + yield from () # No segments emitted in IDLE + + def _handle_speech( + self, + audio: NDArray[np.float32], + is_speech: bool, + chunk_start: float, + chunk_duration: float, + ) -> Iterator[AudioSegment]: + """Handle audio in SPEECH state.""" + if is_speech: + self._speech_buffer.append(audio) + current_duration = self._stream_time - self._speech_start_time + + # Check max duration limit + if current_duration >= self.config.max_segment_duration: + segment = self._emit_segment() + if segment is not None: + yield segment + # Start a fresh segment at the end of this chunk + self._speech_start_time = self._stream_time + self._leading_duration = 0.0 + self._speech_buffer = [] + else: + # Speech ended - transition to TRAILING + # Start trailing buffer with this silent chunk + self._state = SegmenterState.TRAILING + self._trailing_buffer = [audio] + self._trailing_duration = chunk_duration + + # Check if already past trailing threshold + if self._trailing_duration >= self.config.trailing_silence: + segment = self._emit_segment() + if segment is not None: + yield segment + self._state = SegmenterState.IDLE + + def _handle_trailing( + self, + audio: NDArray[np.float32], + is_speech: bool, + chunk_start: float, + chunk_duration: float, + ) -> Iterator[AudioSegment]: + """Handle audio in TRAILING state.""" + if is_speech: + # Speech resumed - merge trailing back and continue + self._speech_buffer.extend(self._trailing_buffer) + self._speech_buffer.append(audio) + self._trailing_buffer.clear() + self._trailing_duration = 0.0 + self._state = SegmenterState.SPEECH + else: + # Still silence - accumulate trailing + self._trailing_buffer.append(audio) + self._trailing_duration += chunk_duration + + if self._trailing_duration >= self.config.trailing_silence: + # Enough trailing silence - emit segment + segment = self._emit_segment() + if segment is not None: + yield segment + self._state = SegmenterState.IDLE + + def _update_leading_buffer(self, audio: NDArray[np.float32]) -> None: + """Maintain rolling leading buffer.""" + self._leading_buffer.append(audio) + + # Calculate total buffer duration + total_samples = sum(len(chunk) for chunk in self._leading_buffer) + total_duration = total_samples / self.config.sample_rate + + # Trim to configured leading buffer size + while total_duration > self.config.leading_buffer and self._leading_buffer: + removed = self._leading_buffer.pop(0) + total_samples -= len(removed) + total_duration = total_samples / self.config.sample_rate + + def _emit_segment(self) -> AudioSegment | None: + """Create and emit completed segment.""" + # Combine speech + trailing audio + all_audio = self._speech_buffer + self._trailing_buffer + + # Calculate actual start time (account for leading buffer) + actual_start = max(0.0, self._speech_start_time - self._leading_duration) + + # Concatenate audio + audio = np.concatenate(all_audio) if all_audio else np.array([], dtype=np.float32) + + # If we only have silence/trailing audio, don't emit a segment. + if not self._speech_buffer: + self._trailing_buffer.clear() + self._trailing_duration = 0.0 + self._leading_duration = 0.0 + return None + + segment = AudioSegment( + audio=audio, + start_time=actual_start, + end_time=self._stream_time, + ) + + # Clear buffers + self._speech_buffer.clear() + self._trailing_buffer.clear() + self._trailing_duration = 0.0 + self._leading_duration = 0.0 + + return segment diff --git a/src/noteflow/infrastructure/asr/streaming_vad.py b/src/noteflow/infrastructure/asr/streaming_vad.py new file mode 100644 index 0000000..50c96f3 --- /dev/null +++ b/src/noteflow/infrastructure/asr/streaming_vad.py @@ -0,0 +1,131 @@ +"""Streaming Voice Activity Detection. + +Provides real-time speech detection for audio streams. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import Protocol + +import numpy as np +from numpy.typing import NDArray + + +class VadEngine(Protocol): + """Protocol for VAD engine implementations.""" + + def process(self, audio: NDArray[np.float32]) -> bool: + """Process audio chunk and return speech detection result. + + Args: + audio: Audio samples (float32, mono). + + Returns: + True if speech detected, False otherwise. + """ + ... + + def reset(self) -> None: + """Reset VAD state.""" + ... + + +@dataclass +class EnergyVadConfig: + """Configuration for energy-based VAD.""" + + # Speech detection threshold (RMS energy) + speech_threshold: float = 0.01 + # Silence threshold (lower than speech for hysteresis) + silence_threshold: float = 0.005 + # Minimum consecutive speech frames to confirm speech + min_speech_frames: int = 2 + # Minimum consecutive silence frames to confirm silence + min_silence_frames: int = 3 + + +@dataclass +class EnergyVad: + """Simple energy-based Voice Activity Detection. + + Uses RMS energy with hysteresis for robust detection. + Suitable for clean audio; use silero-vad for noisy environments. + """ + + config: EnergyVadConfig = field(default_factory=EnergyVadConfig) + + # Internal state + _is_speech: bool = field(default=False, init=False) + _speech_frame_count: int = field(default=0, init=False) + _silence_frame_count: int = field(default=0, init=False) + + def process(self, audio: NDArray[np.float32]) -> bool: + """Process audio chunk and detect speech. + + Uses RMS energy with hysteresis to detect speech. + State transitions require consecutive frames above/below threshold. + + Args: + audio: Audio samples (float32, mono, normalized to [-1, 1]). + + Returns: + True if speech detected, False for silence. + """ + energy = self._compute_rms(audio) + + if self._is_speech: + # Currently in speech - check for silence + if energy < self.config.silence_threshold: + self._silence_frame_count += 1 + self._speech_frame_count = 0 + if self._silence_frame_count >= self.config.min_silence_frames: + self._is_speech = False + else: + self._silence_frame_count = 0 + elif energy > self.config.speech_threshold: + self._speech_frame_count += 1 + self._silence_frame_count = 0 + if self._speech_frame_count >= self.config.min_speech_frames: + self._is_speech = True + else: + self._speech_frame_count = 0 + + return self._is_speech + + def reset(self) -> None: + """Reset VAD state to initial values.""" + self._is_speech = False + self._speech_frame_count = 0 + self._silence_frame_count = 0 + + @staticmethod + def _compute_rms(audio: NDArray[np.float32]) -> float: + """Compute Root Mean Square energy of audio.""" + return 0.0 if len(audio) == 0 else float(np.sqrt(np.mean(audio**2))) + + +@dataclass +class StreamingVad: + """Streaming VAD wrapper with configurable backend. + + Wraps VAD engines to provide a unified streaming interface. + """ + + engine: VadEngine = field(default_factory=EnergyVad) + sample_rate: int = 16000 + + def process_chunk(self, audio: NDArray[np.float32]) -> bool: + """Process audio chunk through VAD engine. + + Args: + audio: Audio samples (float32, mono). + + Returns: + True if speech detected, False otherwise. + """ + return self.engine.process(audio) + + def reset(self) -> None: + """Reset VAD state.""" + self.engine.reset() diff --git a/src/noteflow/infrastructure/audio/__init__.py b/src/noteflow/infrastructure/audio/__init__.py new file mode 100644 index 0000000..9177ac4 --- /dev/null +++ b/src/noteflow/infrastructure/audio/__init__.py @@ -0,0 +1,37 @@ +"""Audio infrastructure module. + +Provide audio capture, level metering, buffering, playback, and encrypted storage. +""" + +from noteflow.infrastructure.audio.capture import SoundDeviceCapture +from noteflow.infrastructure.audio.dto import ( + AudioDeviceInfo, + AudioFrameCallback, + TimestampedAudio, +) +from noteflow.infrastructure.audio.levels import RmsLevelProvider +from noteflow.infrastructure.audio.playback import PlaybackState, SoundDevicePlayback +from noteflow.infrastructure.audio.protocols import ( + AudioCapture, + AudioLevelProvider, + AudioPlayback, + RingBuffer, +) +from noteflow.infrastructure.audio.ring_buffer import TimestampedRingBuffer +from noteflow.infrastructure.audio.writer import MeetingAudioWriter + +__all__ = [ + "AudioCapture", + "AudioDeviceInfo", + "AudioFrameCallback", + "AudioLevelProvider", + "AudioPlayback", + "MeetingAudioWriter", + "PlaybackState", + "RingBuffer", + "RmsLevelProvider", + "SoundDeviceCapture", + "SoundDevicePlayback", + "TimestampedAudio", + "TimestampedRingBuffer", +] diff --git a/src/noteflow/infrastructure/audio/__pycache__/__init__.cpython-312.pyc b/src/noteflow/infrastructure/audio/__pycache__/__init__.cpython-312.pyc new 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from numpy.typing import NDArray + +logger = logging.getLogger(__name__) + + +class SoundDeviceCapture: + """sounddevice-based implementation of AudioCapture. + + Handle device enumeration, stream management, and device change detection. + Use PortAudio under the hood for cross-platform audio capture. + """ + + def __init__(self) -> None: + """Initialize the capture instance.""" + self._stream: sd.InputStream | None = None + self._callback: AudioFrameCallback | None = None + self._device_id: int | None = None + self._sample_rate: int = 16000 + self._channels: int = 1 + + def list_devices(self) -> list[AudioDeviceInfo]: + """List available audio input devices. + + Returns: + List of AudioDeviceInfo for all available input devices. + """ + devices: list[AudioDeviceInfo] = [] + device_list = sd.query_devices() + + # Get default input device index + try: + default_input = sd.default.device[0] # Input device index + except (TypeError, IndexError): + default_input = -1 + + devices.extend( + AudioDeviceInfo( + device_id=idx, + name=dev["name"], + channels=int(dev["max_input_channels"]), + sample_rate=int(dev["default_samplerate"]), + is_default=(idx == default_input), + ) + for idx, dev in enumerate(device_list) + if int(dev["max_input_channels"]) > 0 + ) + return devices + + def get_default_device(self) -> AudioDeviceInfo | None: + """Get the default input device. + + Returns: + Default input device info, or None if no input devices available. + """ + devices = self.list_devices() + for dev in devices: + if dev.is_default: + return dev + return devices[0] if devices else None + + def start( + self, + device_id: int | None, + on_frames: AudioFrameCallback, + sample_rate: int = 16000, + channels: int = 1, + chunk_duration_ms: int = 100, + ) -> None: + """Start capturing audio from the specified device. + + Args: + device_id: Device ID to capture from, or None for default device. + on_frames: Callback receiving (frames, timestamp) for each chunk. + sample_rate: Sample rate in Hz (default 16kHz for ASR). + channels: Number of channels (default 1 for mono). + chunk_duration_ms: Duration of each audio chunk in milliseconds. + + Raises: + RuntimeError: If already capturing. + ValueError: If device_id is invalid. + """ + if self._stream is not None: + raise RuntimeError("Already capturing audio") + + self._callback = on_frames + self._device_id = device_id + self._sample_rate = sample_rate + self._channels = channels + + # Calculate block size from chunk duration + blocksize = int(sample_rate * chunk_duration_ms / 1000) + + def _stream_callback( + indata: NDArray[np.float32], + frames: int, + time_info: object, # cffi CData from sounddevice, unused + status: sd.CallbackFlags, + ) -> None: + """Internal sounddevice callback.""" + # Suppress unused parameter warnings + _ = frames, time_info + + if status: + logger.warning("Audio stream status: %s", status) + + if self._callback is not None: + # Copy the data and flatten to 1D array + audio_data = indata.copy().flatten().astype(np.float32) + timestamp = time.monotonic() + self._callback(audio_data, timestamp) + + try: + self._stream = sd.InputStream( + device=device_id, + channels=channels, + samplerate=sample_rate, + blocksize=blocksize, + dtype=np.float32, + callback=_stream_callback, + ) + self._stream.start() + logger.info( + "Started audio capture: device=%s, rate=%d, channels=%d, blocksize=%d", + device_id, + sample_rate, + channels, + blocksize, + ) + except sd.PortAudioError as e: + self._stream = None + self._callback = None + raise RuntimeError(f"Failed to start audio capture: {e}") from e + + def stop(self) -> None: + """Stop audio capture. + + Safe to call even if not capturing. + """ + if self._stream is not None: + try: + self._stream.stop() + self._stream.close() + except sd.PortAudioError as e: + logger.warning("Error stopping audio stream: %s", e) + finally: + self._stream = None + self._callback = None + logger.info("Stopped audio capture") + + def is_capturing(self) -> bool: + """Check if currently capturing audio. + + Returns: + True if capture is active. + """ + return self._stream is not None and self._stream.active + + @property + def current_device_id(self) -> int | None: + """Get the current device ID being used for capture.""" + return self._device_id + + @property + def sample_rate(self) -> int: + """Get the current sample rate.""" + return self._sample_rate + + @property + def channels(self) -> int: + """Get the current number of channels.""" + return self._channels diff --git a/src/noteflow/infrastructure/audio/dto.py b/src/noteflow/infrastructure/audio/dto.py new file mode 100644 index 0000000..a7ae269 --- /dev/null +++ b/src/noteflow/infrastructure/audio/dto.py @@ -0,0 +1,43 @@ +"""Data Transfer Objects for audio capture. + +Define data structures used by audio capture components. +""" + +from __future__ import annotations + +from collections.abc import Callable +from dataclasses import dataclass + +import numpy as np +from numpy.typing import NDArray + + +@dataclass(frozen=True) +class AudioDeviceInfo: + """Information about an audio input device.""" + + device_id: int + name: str + channels: int + sample_rate: int + is_default: bool + + +@dataclass +class TimestampedAudio: + """Audio frames with capture timestamp.""" + + frames: NDArray[np.float32] + timestamp: float # Monotonic time when captured + duration: float # Duration in seconds + + def __post_init__(self) -> None: + """Validate audio data.""" + if self.duration < 0: + raise ValueError("Duration must be non-negative") + if self.timestamp < 0: + raise ValueError("Timestamp must be non-negative") + + +# Type alias for audio frame callback +AudioFrameCallback = Callable[[NDArray[np.float32], float], None] diff --git a/src/noteflow/infrastructure/audio/levels.py b/src/noteflow/infrastructure/audio/levels.py new file mode 100644 index 0000000..e23a8aa --- /dev/null +++ b/src/noteflow/infrastructure/audio/levels.py @@ -0,0 +1,86 @@ +"""Audio level computation implementation. + +Provide RMS and dB level calculation for VU meter display. +""" + +from __future__ import annotations + +import math +from typing import Final + +import numpy as np +from numpy.typing import NDArray + + +class RmsLevelProvider: + """RMS-based audio level provider. + + Compute RMS (Root Mean Square) level from audio frames for VU meter display. + """ + + # Minimum dB value to report (silence threshold) + MIN_DB: Final[float] = -60.0 + + def get_rms(self, frames: NDArray[np.float32]) -> float: + """Calculate RMS level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + RMS level normalized to 0.0-1.0 range. + """ + if len(frames) == 0: + return 0.0 + + # Calculate RMS: sqrt(mean(samples^2)) + rms = float(np.sqrt(np.mean(frames.astype(np.float64) ** 2))) + + # Clamp to 0.0-1.0 range + return min(1.0, max(0.0, rms)) + + def get_db(self, frames: NDArray[np.float32]) -> float: + """Calculate dB level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + Level in dB (MIN_DB to 0 range). + """ + rms = self.get_rms(frames) + + if rms <= 0: + return self.MIN_DB + + # Convert to dB: 20 * log10(rms) + db = 20.0 * math.log10(rms) + + # Clamp to MIN_DB to 0 range + return max(self.MIN_DB, min(0.0, db)) + + def rms_to_db(self, rms: float) -> float: + """Convert RMS value to dB. + + Args: + rms: RMS level (0.0-1.0). + + Returns: + Level in dB (MIN_DB to 0 range). + """ + if rms <= 0: + return self.MIN_DB + + db = 20.0 * math.log10(rms) + return max(self.MIN_DB, min(0.0, db)) + + def db_to_rms(self, db: float) -> float: + """Convert dB value to RMS. + + Args: + db: Level in dB. + + Returns: + RMS level (0.0-1.0). + """ + return 0.0 if db <= self.MIN_DB else 10.0 ** (db / 20.0) diff --git a/src/noteflow/infrastructure/audio/playback.py b/src/noteflow/infrastructure/audio/playback.py new file mode 100644 index 0000000..e168a37 --- /dev/null +++ b/src/noteflow/infrastructure/audio/playback.py @@ -0,0 +1,260 @@ +"""Audio playback implementation using sounddevice. + +Provide cross-platform audio output playback from ring buffer audio. +""" + +from __future__ import annotations + +import logging +import threading +from enum import Enum, auto +from typing import TYPE_CHECKING + +import numpy as np +import sounddevice as sd +from numpy.typing import NDArray + +if TYPE_CHECKING: + from noteflow.infrastructure.audio.dto import TimestampedAudio + +logger = logging.getLogger(__name__) + + +class PlaybackState(Enum): + """Playback state machine states.""" + + STOPPED = auto() + PLAYING = auto() + PAUSED = auto() + + +class SoundDevicePlayback: + """sounddevice-based implementation of AudioPlayback. + + Handle audio output playback with position tracking and state management. + Thread-safe for UI callbacks. + """ + + def __init__(self, sample_rate: int = 16000, channels: int = 1) -> None: + """Initialize the playback instance. + + Args: + sample_rate: Sample rate in Hz (default 16kHz for ASR audio). + channels: Number of channels (default 1 for mono). + """ + self._sample_rate = sample_rate + self._channels = channels + + # Playback state + self._state = PlaybackState.STOPPED + self._lock = threading.Lock() + + # Audio data + self._audio_data: NDArray[np.float32] | None = None + self._total_samples: int = 0 + self._current_sample: int = 0 + + # Stream + self._stream: sd.OutputStream | None = None + + def play(self, audio: list[TimestampedAudio]) -> None: + """Start playback of audio chunks. + + Args: + audio: List of TimestampedAudio chunks to play, ordered oldest to newest. + """ + if not audio: + logger.warning("No audio chunks to play") + return + + with self._lock: + # Stop any existing playback + self._stop_internal() + + # Concatenate all audio frames + frames = [chunk.frames for chunk in audio] + self._audio_data = np.concatenate(frames).astype(np.float32) + self._total_samples = len(self._audio_data) + self._current_sample = 0 + + # Create and start stream + self._start_stream() + self._state = PlaybackState.PLAYING + + logger.info( + "Started playback: %d samples (%.2f seconds)", + self._total_samples, + self.total_duration, + ) + + def pause(self) -> None: + """Pause playback. + + Safe to call even if not playing. + """ + with self._lock: + if self._state == PlaybackState.PLAYING and self._stream is not None: + self._stream.stop() + self._state = PlaybackState.PAUSED + logger.debug("Paused playback at %.2f seconds", self.current_position) + + def resume(self) -> None: + """Resume paused playback. + + No-op if not paused. + """ + with self._lock: + if self._state == PlaybackState.PAUSED and self._stream is not None: + self._stream.start() + self._state = PlaybackState.PLAYING + logger.debug("Resumed playback from %.2f seconds", self.current_position) + + def stop(self) -> None: + """Stop playback and reset position. + + Safe to call even if not playing. + """ + with self._lock: + self._stop_internal() + + def _stop_internal(self) -> None: + """Internal stop without lock (caller must hold lock).""" + if self._stream is not None: + try: + self._stream.stop() + self._stream.close() + except sd.PortAudioError as e: + logger.warning("Error stopping playback stream: %s", e) + finally: + self._stream = None + + self._state = PlaybackState.STOPPED + self._current_sample = 0 + self._audio_data = None + self._total_samples = 0 + logger.debug("Stopped playback") + + def _start_stream(self) -> None: + """Start the output stream (caller must hold lock).""" + + def _stream_callback( + outdata: NDArray[np.float32], + frames: int, + time_info: object, + status: sd.CallbackFlags, + ) -> None: + """Internal sounddevice output callback.""" + _ = time_info # Unused + + if status: + logger.warning("Playback stream status: %s", status) + + with self._lock: + if self._audio_data is None or self._state != PlaybackState.PLAYING: + # Output silence + outdata.fill(0) + return + + # Calculate how many samples we can provide + available = self._total_samples - self._current_sample + to_copy = min(frames, available) + + if to_copy > 0: + # Copy audio data to output buffer + outdata[:to_copy, 0] = self._audio_data[ + self._current_sample : self._current_sample + to_copy + ] + self._current_sample += to_copy + + # Fill remaining with silence + if to_copy < frames: + outdata[to_copy:] = 0 + + # Check if playback is complete + if self._current_sample >= self._total_samples: + # Schedule stop on another thread to avoid deadlock + threading.Thread(target=self._on_playback_complete, daemon=True).start() + + try: + self._stream = sd.OutputStream( + channels=self._channels, + samplerate=self._sample_rate, + dtype=np.float32, + callback=_stream_callback, + ) + self._stream.start() + except sd.PortAudioError as e: + self._stream = None + raise RuntimeError(f"Failed to start playback stream: {e}") from e + + def _on_playback_complete(self) -> None: + """Handle playback completion.""" + logger.info("Playback completed") + self.stop() + + def seek(self, position: float) -> bool: + """Seek to a specific position in the audio. + + Thread-safe. Can be called from any thread. + + Args: + position: Position in seconds from start of audio. + + Returns: + True if seek was successful, False if no audio loaded or position out of bounds. + """ + with self._lock: + if self._audio_data is None: + logger.warning("Cannot seek: no audio loaded") + return False + + # Clamp position to valid range + max_position = self._total_samples / self._sample_rate + clamped_position = max(0.0, min(position, max_position)) + + # Convert to sample position + self._current_sample = int(clamped_position * self._sample_rate) + + logger.debug( + "Seeked to %.2f seconds (sample %d)", + clamped_position, + self._current_sample, + ) + return True + + def is_playing(self) -> bool: + """Check if currently playing audio. + + Returns: + True if playback is active (not paused or stopped). + """ + with self._lock: + return self._state == PlaybackState.PLAYING + + @property + def current_position(self) -> float: + """Current playback position in seconds from start of loaded audio.""" + with self._lock: + return self._current_sample / self._sample_rate + + @property + def total_duration(self) -> float: + """Total duration of loaded audio in seconds.""" + with self._lock: + return self._total_samples / self._sample_rate + + @property + def state(self) -> PlaybackState: + """Current playback state.""" + with self._lock: + return self._state + + @property + def sample_rate(self) -> int: + """Sample rate in Hz.""" + return self._sample_rate + + @property + def channels(self) -> int: + """Number of channels.""" + return self._channels diff --git a/src/noteflow/infrastructure/audio/protocols.py b/src/noteflow/infrastructure/audio/protocols.py new file mode 100644 index 0000000..9e266ae --- /dev/null +++ b/src/noteflow/infrastructure/audio/protocols.py @@ -0,0 +1,196 @@ +"""Audio protocols defining contracts for audio components. + +Define Protocol interfaces for audio capture, level metering, and buffering. +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Protocol + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + + from noteflow.infrastructure.audio.dto import ( + AudioDeviceInfo, + AudioFrameCallback, + TimestampedAudio, + ) + + +class AudioCapture(Protocol): + """Protocol for audio input capture. + + Implementations should handle device enumeration, stream management, + and device change detection. + """ + + def list_devices(self) -> list[AudioDeviceInfo]: + """List available audio input devices. + + Returns: + List of AudioDeviceInfo for all available input devices. + """ + ... + + def start( + self, + device_id: int | None, + on_frames: AudioFrameCallback, + sample_rate: int = 16000, + channels: int = 1, + chunk_duration_ms: int = 100, + ) -> None: + """Start capturing audio from the specified device. + + Args: + device_id: Device ID to capture from, or None for default device. + on_frames: Callback receiving (frames, timestamp) for each chunk. + sample_rate: Sample rate in Hz (default 16kHz for ASR). + channels: Number of channels (default 1 for mono). + chunk_duration_ms: Duration of each audio chunk in milliseconds. + + Raises: + RuntimeError: If already capturing. + ValueError: If device_id is invalid. + """ + ... + + def stop(self) -> None: + """Stop audio capture. + + Safe to call even if not capturing. + """ + ... + + def is_capturing(self) -> bool: + """Check if currently capturing audio. + + Returns: + True if capture is active. + """ + ... + + +class AudioLevelProvider(Protocol): + """Protocol for computing audio levels (VU meter data).""" + + def get_rms(self, frames: NDArray[np.float32]) -> float: + """Calculate RMS level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + RMS level normalized to 0.0-1.0 range. + """ + ... + + def get_db(self, frames: NDArray[np.float32]) -> float: + """Calculate dB level from audio frames. + + Args: + frames: Audio samples as float32 array (normalized -1.0 to 1.0). + + Returns: + Level in dB (typically -60 to 0 range). + """ + ... + + +class RingBuffer(Protocol): + """Protocol for timestamped audio ring buffer. + + Ring buffers store recent audio with timestamps for ASR processing + and playback sync. + """ + + def push(self, audio: TimestampedAudio) -> None: + """Add audio to the buffer. + + Old audio is discarded if buffer exceeds max_duration. + + Args: + audio: Timestamped audio chunk to add. + """ + ... + + def get_window(self, duration_seconds: float) -> list[TimestampedAudio]: + """Get the last N seconds of audio. + + Args: + duration_seconds: How many seconds of audio to retrieve. + + Returns: + List of TimestampedAudio chunks, ordered oldest to newest. + """ + ... + + def clear(self) -> None: + """Clear all audio from the buffer.""" + ... + + @property + def duration(self) -> float: + """Total duration of buffered audio in seconds.""" + ... + + @property + def max_duration(self) -> float: + """Maximum buffer duration in seconds.""" + ... + + +class AudioPlayback(Protocol): + """Protocol for audio output playback. + + Implementations should handle output device management, playback state, + and position tracking for sync with UI. + """ + + def play(self, audio: list[TimestampedAudio]) -> None: + """Start playback of audio chunks. + + Args: + audio: List of TimestampedAudio chunks to play, ordered oldest to newest. + """ + ... + + def pause(self) -> None: + """Pause playback. + + Safe to call even if not playing. + """ + ... + + def resume(self) -> None: + """Resume paused playback. + + No-op if not paused. + """ + ... + + def stop(self) -> None: + """Stop playback and reset position. + + Safe to call even if not playing. + """ + ... + + def is_playing(self) -> bool: + """Check if currently playing audio. + + Returns: + True if playback is active (not paused or stopped). + """ + ... + + @property + def current_position(self) -> float: + """Current playback position in seconds from start of loaded audio.""" + ... + + @property + def total_duration(self) -> float: + """Total duration of loaded audio in seconds.""" + ... diff --git a/src/noteflow/infrastructure/audio/ring_buffer.py b/src/noteflow/infrastructure/audio/ring_buffer.py new file mode 100644 index 0000000..8bbfdf9 --- /dev/null +++ b/src/noteflow/infrastructure/audio/ring_buffer.py @@ -0,0 +1,110 @@ +"""Timestamped audio ring buffer implementation. + +Store recent audio with timestamps for ASR processing and playback sync. +""" + +from __future__ import annotations + +from collections import deque +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from noteflow.infrastructure.audio.dto import TimestampedAudio + + +class TimestampedRingBuffer: + """Ring buffer for timestamped audio chunks. + + Automatically discard old audio when the buffer exceeds max_duration. + Thread-safe for single-producer, single-consumer use. + """ + + def __init__(self, max_duration: float = 30.0) -> None: + """Initialize ring buffer. + + Args: + max_duration: Maximum audio duration to keep in seconds. + + Raises: + ValueError: If max_duration is not positive. + """ + if max_duration <= 0: + raise ValueError("max_duration must be positive") + + self._max_duration = max_duration + self._buffer: deque[TimestampedAudio] = deque() + self._total_duration: float = 0.0 + + def push(self, audio: TimestampedAudio) -> None: + """Add audio to the buffer. + + Old audio is discarded if buffer exceeds max_duration. + + Args: + audio: Timestamped audio chunk to add. + """ + self._buffer.append(audio) + self._total_duration += audio.duration + + # Evict old chunks if over capacity + while self._total_duration > self._max_duration and self._buffer: + old = self._buffer.popleft() + self._total_duration -= old.duration + + def get_window(self, duration_seconds: float) -> list[TimestampedAudio]: + """Get the last N seconds of audio. + + Args: + duration_seconds: How many seconds of audio to retrieve. + + Returns: + List of TimestampedAudio chunks, ordered oldest to newest. + """ + if duration_seconds <= 0: + return [] + + result: list[TimestampedAudio] = [] + accumulated_duration = 0.0 + + # Iterate from newest to oldest + for audio in reversed(self._buffer): + result.append(audio) + accumulated_duration += audio.duration + if accumulated_duration >= duration_seconds: + break + + # Return in chronological order (oldest first) + result.reverse() + return result + + def get_all(self) -> list[TimestampedAudio]: + """Get all buffered audio. + + Returns: + List of all TimestampedAudio chunks, ordered oldest to newest. + """ + return list(self._buffer) + + def clear(self) -> None: + """Clear all audio from the buffer.""" + self._buffer.clear() + self._total_duration = 0.0 + + @property + def duration(self) -> float: + """Total duration of buffered audio in seconds.""" + return self._total_duration + + @property + def max_duration(self) -> float: + """Maximum buffer duration in seconds.""" + return self._max_duration + + @property + def chunk_count(self) -> int: + """Number of audio chunks in the buffer.""" + return len(self._buffer) + + def __len__(self) -> int: + """Return number of chunks in buffer.""" + return len(self._buffer) diff --git a/src/noteflow/infrastructure/audio/writer.py b/src/noteflow/infrastructure/audio/writer.py new file mode 100644 index 0000000..051d89b --- /dev/null +++ b/src/noteflow/infrastructure/audio/writer.py @@ -0,0 +1,166 @@ +"""Streaming encrypted audio file writer for meetings.""" + +from __future__ import annotations + +import json +import logging +from datetime import UTC, datetime +from pathlib import Path +from typing import TYPE_CHECKING + +import numpy as np + +from noteflow.infrastructure.security.crypto import ChunkedAssetWriter + +if TYPE_CHECKING: + from numpy.typing import NDArray + + from noteflow.infrastructure.security.crypto import AesGcmCryptoBox + +logger = logging.getLogger(__name__) + + +class MeetingAudioWriter: + """Write audio chunks to encrypted meeting file. + + Manage meeting directory creation, manifest file, and encrypted audio storage. + Uses ChunkedAssetWriter for the actual encryption. + + Directory structure: + ~/.noteflow/meetings// + ├── manifest.json # Meeting metadata + wrapped DEK + └── audio.enc # Encrypted PCM16 chunks (NFAE format) + """ + + def __init__( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Initialize audio writer. + + Args: + crypto: CryptoBox instance for encryption operations. + meetings_dir: Root directory for all meetings (e.g., ~/.noteflow/meetings). + """ + self._crypto = crypto + self._meetings_dir = meetings_dir + self._asset_writer: ChunkedAssetWriter | None = None + self._meeting_dir: Path | None = None + self._sample_rate: int = 16000 + self._chunk_count: int = 0 + + def open( + self, + meeting_id: str, + dek: bytes, + wrapped_dek: bytes, + sample_rate: int = 16000, + ) -> None: + """Open meeting for audio writing. + + Create meeting directory, write manifest, open encrypted audio file. + + Args: + meeting_id: Meeting UUID string. + dek: Unwrapped data encryption key (32 bytes). + wrapped_dek: Encrypted DEK to store in manifest. + sample_rate: Audio sample rate (default 16000 Hz). + + Raises: + RuntimeError: If already open. + OSError: If directory creation fails. + """ + if self._asset_writer is not None: + raise RuntimeError("Writer already open") + + # Create meeting directory + self._meeting_dir = self._meetings_dir / meeting_id + self._meeting_dir.mkdir(parents=True, exist_ok=True) + + # Write manifest.json + manifest = { + "meeting_id": meeting_id, + "created_at": datetime.now(UTC).isoformat(), + "sample_rate": sample_rate, + "channels": 1, + "format": "pcm16", + "wrapped_dek": wrapped_dek.hex(), # Store as hex string + } + manifest_path = self._meeting_dir / "manifest.json" + manifest_path.write_text(json.dumps(manifest, indent=2)) + + # Open encrypted audio file + audio_path = self._meeting_dir / "audio.enc" + self._asset_writer = ChunkedAssetWriter(self._crypto) + self._asset_writer.open(audio_path, dek) + + self._sample_rate = sample_rate + self._chunk_count = 0 + + logger.info( + "Opened audio writer: meeting=%s, dir=%s", + meeting_id, + self._meeting_dir, + ) + + def write_chunk(self, audio: NDArray[np.float32]) -> None: + """Write audio chunk (convert float32 → PCM16). + + Args: + audio: Audio samples as float32 array (-1.0 to 1.0). + + Raises: + RuntimeError: If not open. + """ + if self._asset_writer is None or not self._asset_writer.is_open: + raise RuntimeError("Writer not open") + + # Convert float32 [-1.0, 1.0] to int16 [-32768, 32767] + # Clamp to prevent overflow on conversion + audio_clamped = np.clip(audio, -1.0, 1.0) + pcm16 = (audio_clamped * 32767.0).astype(np.int16) + + # Write as raw bytes (platform-native endianness, typically little-endian) + self._asset_writer.write_chunk(pcm16.tobytes()) + self._chunk_count += 1 + + def close(self) -> None: + """Close audio writer and finalize files. + + Safe to call if already closed or never opened. + """ + if self._asset_writer is not None: + bytes_written = self._asset_writer.bytes_written + self._asset_writer.close() + self._asset_writer = None + + logger.info( + "Closed audio writer: dir=%s, chunks=%d, bytes=%d", + self._meeting_dir, + self._chunk_count, + bytes_written, + ) + + self._meeting_dir = None + self._chunk_count = 0 + + @property + def is_open(self) -> bool: + """Check if writer is currently open for writing.""" + return self._asset_writer is not None and self._asset_writer.is_open + + @property + def bytes_written(self) -> int: + """Total encrypted bytes written to audio.enc file.""" + return 0 if self._asset_writer is None else self._asset_writer.bytes_written + + @property + def chunk_count(self) -> int: + """Number of audio chunks written.""" + return self._chunk_count + + @property + def meeting_dir(self) -> Path | None: + """Current meeting directory, or None if not open.""" + return self._meeting_dir diff --git a/src/noteflow/infrastructure/converters/__init__.py b/src/noteflow/infrastructure/converters/__init__.py new file mode 100644 index 0000000..a6d573a --- /dev/null +++ b/src/noteflow/infrastructure/converters/__init__.py @@ -0,0 +1,9 @@ +"""Infrastructure converters for data transformation between layers.""" + +from noteflow.infrastructure.converters.asr_converters import AsrConverter +from noteflow.infrastructure.converters.orm_converters import OrmConverter + +__all__ = [ + "AsrConverter", + "OrmConverter", +] diff --git a/src/noteflow/infrastructure/converters/__pycache__/__init__.cpython-312.pyc b/src/noteflow/infrastructure/converters/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..60040b4 Binary files /dev/null and b/src/noteflow/infrastructure/converters/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/converters/__pycache__/asr_converters.cpython-312.pyc b/src/noteflow/infrastructure/converters/__pycache__/asr_converters.cpython-312.pyc new file mode 100644 index 0000000..bfceb91 Binary files /dev/null and b/src/noteflow/infrastructure/converters/__pycache__/asr_converters.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/converters/__pycache__/orm_converters.cpython-312.pyc b/src/noteflow/infrastructure/converters/__pycache__/orm_converters.cpython-312.pyc new file mode 100644 index 0000000..7fba777 Binary files /dev/null and b/src/noteflow/infrastructure/converters/__pycache__/orm_converters.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/converters/asr_converters.py b/src/noteflow/infrastructure/converters/asr_converters.py new file mode 100644 index 0000000..07ff8a9 --- /dev/null +++ b/src/noteflow/infrastructure/converters/asr_converters.py @@ -0,0 +1,50 @@ +"""Convert ASR DTOs to domain entities.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING + +from noteflow.domain.entities import WordTiming + +if TYPE_CHECKING: + from noteflow.infrastructure.asr import dto + from noteflow.infrastructure.asr.dto import AsrResult + + +class AsrConverter: + """Convert ASR DTOs to domain entities.""" + + @staticmethod + def word_timing_to_domain(asr_word: dto.WordTiming) -> WordTiming: + """Convert ASR WordTiming DTO to domain WordTiming entity. + + Map field names from ASR convention (start/end) to domain + convention (start_time/end_time). + + Args: + asr_word: ASR WordTiming DTO from faster-whisper engine. + + Returns: + Domain WordTiming entity with validated timing. + + Raises: + ValueError: If timing validation fails. + """ + return WordTiming( + word=asr_word.word, + start_time=asr_word.start, + end_time=asr_word.end, + probability=asr_word.probability, + ) + + @staticmethod + def result_to_domain_words(result: AsrResult) -> list[WordTiming]: + """Convert all words from ASR result to domain entities. + + Args: + result: ASR transcription result with word timings. + + Returns: + List of domain WordTiming entities. + """ + return [AsrConverter.word_timing_to_domain(word) for word in result.words] diff --git a/src/noteflow/infrastructure/converters/orm_converters.py b/src/noteflow/infrastructure/converters/orm_converters.py new file mode 100644 index 0000000..e39d2f5 --- /dev/null +++ b/src/noteflow/infrastructure/converters/orm_converters.py @@ -0,0 +1,54 @@ +"""Convert between ORM models and domain entities.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING + +from noteflow.domain.entities import WordTiming as DomainWordTiming + +if TYPE_CHECKING: + from noteflow.infrastructure.persistence.models import WordTimingModel + + +class OrmConverter: + """Convert between ORM models and domain entities.""" + + @staticmethod + def word_timing_to_domain(model: WordTimingModel) -> DomainWordTiming: + """Convert ORM WordTiming model to domain entity. + + Args: + model: SQLAlchemy WordTimingModel instance. + + Returns: + Domain WordTiming entity. + + Raises: + ValueError: If timing validation fails during entity construction. + """ + return DomainWordTiming( + word=model.word, + start_time=model.start_time, + end_time=model.end_time, + probability=model.probability, + ) + + @staticmethod + def word_timing_to_orm_kwargs(word: DomainWordTiming) -> dict[str, str | float]: + """Convert domain WordTiming to ORM model kwargs. + + Return a dict of kwargs rather than instantiating WordTimingModel directly + to avoid circular imports and allow the repository to handle ORM construction. + + Args: + word: Domain WordTiming entity. + + Returns: + Dict with word, start_time, end_time, probability for ORM construction. + """ + return { + "word": word.word, + "start_time": word.start_time, + "end_time": word.end_time, + "probability": word.probability, + } diff --git a/src/noteflow/infrastructure/export/__init__.py b/src/noteflow/infrastructure/export/__init__.py new file mode 100644 index 0000000..0b6d584 --- /dev/null +++ b/src/noteflow/infrastructure/export/__init__.py @@ -0,0 +1,14 @@ +"""Export infrastructure module. + +Provide transcript export functionality to various file formats. +""" + +from noteflow.infrastructure.export.html import HtmlExporter +from noteflow.infrastructure.export.markdown import MarkdownExporter +from noteflow.infrastructure.export.protocols import TranscriptExporter + +__all__ = [ + "HtmlExporter", + "MarkdownExporter", + "TranscriptExporter", +] diff --git a/src/noteflow/infrastructure/export/__pycache__/__init__.cpython-312.pyc b/src/noteflow/infrastructure/export/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..b9d9081 Binary files /dev/null and b/src/noteflow/infrastructure/export/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/export/__pycache__/_formatting.cpython-312.pyc b/src/noteflow/infrastructure/export/__pycache__/_formatting.cpython-312.pyc new file mode 100644 index 0000000..368381b Binary files /dev/null and b/src/noteflow/infrastructure/export/__pycache__/_formatting.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/export/__pycache__/html.cpython-312.pyc b/src/noteflow/infrastructure/export/__pycache__/html.cpython-312.pyc new file mode 100644 index 0000000..09c378b Binary files /dev/null and b/src/noteflow/infrastructure/export/__pycache__/html.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/export/__pycache__/markdown.cpython-312.pyc b/src/noteflow/infrastructure/export/__pycache__/markdown.cpython-312.pyc new file mode 100644 index 0000000..e489ef2 Binary files /dev/null and b/src/noteflow/infrastructure/export/__pycache__/markdown.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/export/__pycache__/protocols.cpython-312.pyc b/src/noteflow/infrastructure/export/__pycache__/protocols.cpython-312.pyc new file mode 100644 index 0000000..cdf2e63 Binary files /dev/null and b/src/noteflow/infrastructure/export/__pycache__/protocols.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/export/_formatting.py b/src/noteflow/infrastructure/export/_formatting.py new file mode 100644 index 0000000..3357eec --- /dev/null +++ b/src/noteflow/infrastructure/export/_formatting.py @@ -0,0 +1,35 @@ +"""Shared formatting utilities for export modules.""" + +from __future__ import annotations + +from datetime import datetime + + +def format_timestamp(seconds: float) -> str: + """Format seconds as MM:SS or HH:MM:SS. + + Args: + seconds: Time in seconds. + + Returns: + Formatted time string. + """ + total_seconds = int(seconds) + hours, remainder = divmod(total_seconds, 3600) + minutes, secs = divmod(remainder, 60) + + if hours > 0: + return f"{hours:d}:{minutes:02d}:{secs:02d}" + return f"{minutes:d}:{secs:02d}" + + +def format_datetime(dt: datetime | None) -> str: + """Format datetime for display. + + Args: + dt: Datetime to format. + + Returns: + Formatted datetime string or empty string. + """ + return "" if dt is None else dt.strftime("%Y-%m-%d %H:%M:%S") diff --git a/src/noteflow/infrastructure/export/html.py b/src/noteflow/infrastructure/export/html.py new file mode 100644 index 0000000..7b0b9fa --- /dev/null +++ b/src/noteflow/infrastructure/export/html.py @@ -0,0 +1,178 @@ +"""HTML exporter implementation. + +Export meeting transcripts to HTML format. +""" + +from __future__ import annotations + +import html +from datetime import datetime +from typing import TYPE_CHECKING + +from noteflow.infrastructure.export._formatting import format_datetime, format_timestamp + +if TYPE_CHECKING: + from collections.abc import Sequence + + from noteflow.domain.entities.meeting import Meeting + from noteflow.domain.entities.segment import Segment + + +def _escape(text: str) -> str: + """Escape HTML special characters. + + Args: + text: Raw text to escape. + + Returns: + HTML-safe text. + """ + return html.escape(text) + + +# HTML template with embedded CSS for print-friendly output +_HTML_TEMPLATE = """ + + + + + {title} + + + +{content} + +""" + + +class HtmlExporter: + """Export meeting transcripts to HTML format. + + Produces clean, print-friendly HTML with embedded CSS styling, + meeting metadata, transcript with timestamps, and optional summary. + """ + + @property + def format_name(self) -> str: + """Human-readable format name.""" + return "HTML" + + @property + def file_extension(self) -> str: + """File extension for HTML.""" + return ".html" + + def export( + self, + meeting: Meeting, + segments: Sequence[Segment], + ) -> str: + """Export meeting transcript to HTML. + + Args: + meeting: Meeting entity with metadata. + segments: Ordered list of transcript segments. + + Returns: + HTML-formatted transcript string. + """ + content_parts: list[str] = [ + f"

{_escape(meeting.title)}

", + '
', + "
", + ] + + content_parts.append( + f"
Date:
{_escape(format_datetime(meeting.created_at))}
" + ) + if meeting.started_at: + content_parts.append( + f"
Started:
{_escape(format_datetime(meeting.started_at))}
" + ) + if meeting.ended_at: + content_parts.append( + f"
Ended:
{_escape(format_datetime(meeting.ended_at))}
" + ) + content_parts.append( + f"
Duration:
{format_timestamp(meeting.duration_seconds)}
" + ) + content_parts.extend((f"
Segments:
{len(segments)}
", "
")) + content_parts.extend(("
", "

Transcript

")) + content_parts.append('
') + + for segment in segments: + timestamp = format_timestamp(segment.start_time) + content_parts.append('
') + content_parts.append(f'[{timestamp}]') + content_parts.append(f"{_escape(segment.text)}") + content_parts.append("
") + + content_parts.append("
") + + # Summary section (if available) + if meeting.summary: + content_parts.append('
') + content_parts.append("

Summary

") + + if meeting.summary.executive_summary: + content_parts.append(f"

{_escape(meeting.summary.executive_summary)}

") + + if meeting.summary.key_points: + content_parts.append("

Key Points

") + content_parts.append('
    ') + for point in meeting.summary.key_points: + content_parts.append(f"
  • {_escape(point.text)}
    • ") + content_parts.append("
") + + if meeting.summary.action_items: + content_parts.append("

Action Items

") + content_parts.append('
    ') + for item in meeting.summary.action_items: + assignee = ( + f' @{_escape(item.assignee)}' + if item.assignee + else "" + ) + content_parts.append(f"
  • {_escape(item.text)}{assignee}
    • ") + content_parts.append("
") + + content_parts.append("
") + + # Footer + content_parts.append("
") + content_parts.append( + f"Exported from NoteFlow on {_escape(format_datetime(datetime.now()))}" + ) + content_parts.append("
") + + content = "\n".join(content_parts) + return _HTML_TEMPLATE.format(title=_escape(meeting.title), content=content) diff --git a/src/noteflow/infrastructure/export/markdown.py b/src/noteflow/infrastructure/export/markdown.py new file mode 100644 index 0000000..5f543d6 --- /dev/null +++ b/src/noteflow/infrastructure/export/markdown.py @@ -0,0 +1,104 @@ +"""Markdown exporter implementation. + +Export meeting transcripts to Markdown format. +""" + +from __future__ import annotations + +from datetime import datetime +from typing import TYPE_CHECKING + +from noteflow.infrastructure.export._formatting import format_datetime, format_timestamp + +if TYPE_CHECKING: + from collections.abc import Sequence + + from noteflow.domain.entities.meeting import Meeting + from noteflow.domain.entities.segment import Segment + + +class MarkdownExporter: + """Export meeting transcripts to Markdown format. + + Produces clean, readable Markdown with meeting metadata header, + transcript sections with timestamps, and optional summary section. + """ + + @property + def format_name(self) -> str: + """Human-readable format name.""" + return "Markdown" + + @property + def file_extension(self) -> str: + """File extension for Markdown.""" + return ".md" + + def export( + self, + meeting: Meeting, + segments: Sequence[Segment], + ) -> str: + """Export meeting transcript to Markdown. + + Args: + meeting: Meeting entity with metadata. + segments: Ordered list of transcript segments. + + Returns: + Markdown-formatted transcript string. + """ + lines: list[str] = [ + f"# {meeting.title}", + "", + "## Meeting Info", + "", + f"- **Date:** {format_datetime(meeting.created_at)}", + ] + + if meeting.started_at: + lines.append(f"- **Started:** {format_datetime(meeting.started_at)}") + if meeting.ended_at: + lines.append(f"- **Ended:** {format_datetime(meeting.ended_at)}") + lines.append(f"- **Duration:** {format_timestamp(meeting.duration_seconds)}") + lines.append(f"- **Segments:** {len(segments)}") + lines.append("") + + # Transcript section + lines.append("## Transcript") + lines.append("") + + for segment in segments: + timestamp = format_timestamp(segment.start_time) + lines.append(f"**[{timestamp}]** {segment.text}") + lines.append("") + + # Summary section (if available) + if meeting.summary: + lines.append("## Summary") + lines.append("") + + if meeting.summary.executive_summary: + lines.append(meeting.summary.executive_summary) + lines.append("") + + if meeting.summary.key_points: + lines.append("### Key Points") + lines.append("") + for point in meeting.summary.key_points: + lines.append(f"- {point.text}") + lines.append("") + + if meeting.summary.action_items: + lines.append("### Action Items") + lines.append("") + for item in meeting.summary.action_items: + assignee = f" (@{item.assignee})" if item.assignee else "" + lines.append(f"- [ ] {item.text}{assignee}") + lines.append("") + + # Footer + lines.append("---") + lines.append(f"*Exported from NoteFlow on {format_datetime(datetime.now())}*") + + return "\n".join(lines) diff --git a/src/noteflow/infrastructure/export/protocols.py b/src/noteflow/infrastructure/export/protocols.py new file mode 100644 index 0000000..0b543dc --- /dev/null +++ b/src/noteflow/infrastructure/export/protocols.py @@ -0,0 +1,48 @@ +"""Export protocols defining contracts for transcript exporters. + +Define Protocol interfaces for exporting meeting transcripts to various formats. +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Protocol + +if TYPE_CHECKING: + from collections.abc import Sequence + + from noteflow.domain.entities.meeting import Meeting + from noteflow.domain.entities.segment import Segment + + +class TranscriptExporter(Protocol): + """Protocol for exporting meeting transcripts to file formats. + + Implementations should produce formatted output for the target format + (e.g., Markdown, HTML) from meeting data. + """ + + def export( + self, + meeting: Meeting, + segments: Sequence[Segment], + ) -> str: + """Export meeting transcript to formatted string. + + Args: + meeting: Meeting entity with metadata. + segments: Ordered list of transcript segments. + + Returns: + Formatted transcript string in target format. + """ + ... + + @property + def format_name(self) -> str: + """Human-readable format name (e.g., 'Markdown', 'HTML').""" + ... + + @property + def file_extension(self) -> str: + """File extension for this format (e.g., '.md', '.html').""" + ... diff --git a/src/noteflow/infrastructure/persistence/__init__.py b/src/noteflow/infrastructure/persistence/__init__.py new file mode 100644 index 0000000..6dbb24c --- /dev/null +++ b/src/noteflow/infrastructure/persistence/__init__.py @@ -0,0 +1,10 @@ +"""Persistence infrastructure for NoteFlow.""" + +from .database import create_async_engine, get_async_session_factory +from .unit_of_work import SqlAlchemyUnitOfWork + +__all__ = [ + "SqlAlchemyUnitOfWork", + "create_async_engine", + "get_async_session_factory", +] diff --git a/src/noteflow/infrastructure/persistence/__pycache__/__init__.cpython-312.pyc b/src/noteflow/infrastructure/persistence/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..07d0def Binary files /dev/null and b/src/noteflow/infrastructure/persistence/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/persistence/__pycache__/database.cpython-312.pyc b/src/noteflow/infrastructure/persistence/__pycache__/database.cpython-312.pyc new file mode 100644 index 0000000..e07c558 Binary files /dev/null and b/src/noteflow/infrastructure/persistence/__pycache__/database.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/persistence/__pycache__/models.cpython-312.pyc b/src/noteflow/infrastructure/persistence/__pycache__/models.cpython-312.pyc new file mode 100644 index 0000000..b14818a Binary files /dev/null and b/src/noteflow/infrastructure/persistence/__pycache__/models.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/persistence/__pycache__/unit_of_work.cpython-312.pyc b/src/noteflow/infrastructure/persistence/__pycache__/unit_of_work.cpython-312.pyc new file mode 100644 index 0000000..4e2e8d1 Binary files /dev/null and b/src/noteflow/infrastructure/persistence/__pycache__/unit_of_work.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/persistence/database.py b/src/noteflow/infrastructure/persistence/database.py new file mode 100644 index 0000000..e5b4727 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/database.py @@ -0,0 +1,102 @@ +"""Database connection and session management.""" + +from __future__ import annotations + +from collections.abc import AsyncGenerator +from typing import TYPE_CHECKING + +from sqlalchemy.ext.asyncio import ( + AsyncEngine, + AsyncSession, + async_sessionmaker, +) +from sqlalchemy.ext.asyncio import ( + create_async_engine as sa_create_async_engine, +) + +if TYPE_CHECKING: + from noteflow.config import Settings + + +def create_async_engine(settings: Settings) -> AsyncEngine: + """Create an async SQLAlchemy engine. + + Args: + settings: Application settings with database URL. + + Returns: + Configured async engine. + """ + return sa_create_async_engine( + settings.database_url_str, + pool_size=settings.db_pool_size, + echo=settings.db_echo, + pool_pre_ping=True, # Verify connections before use + ) + + +def get_async_session_factory( + engine: AsyncEngine, +) -> async_sessionmaker[AsyncSession]: + """Create an async session factory. + + Args: + engine: SQLAlchemy async engine. + + Returns: + Session factory for creating async sessions. + """ + return async_sessionmaker( + engine, + class_=AsyncSession, + expire_on_commit=False, + autocommit=False, + autoflush=False, + ) + + +async def get_async_session( + session_factory: async_sessionmaker[AsyncSession], +) -> AsyncGenerator[AsyncSession, None]: + """Yield an async database session. + + Args: + session_factory: Factory for creating sessions. + + Yields: + Async database session that is closed after use. + """ + async with session_factory() as session: + yield session + + +def create_async_session_factory( + database_url: str, + pool_size: int = 5, + echo: bool = False, +) -> async_sessionmaker[AsyncSession]: + """Create an async session factory from a database URL string. + + Convenience function for creating a session factory directly from a URL. + + Args: + database_url: PostgreSQL database URL. + pool_size: Connection pool size. + echo: Enable SQL echo logging. + + Returns: + Async session factory. + """ + engine = sa_create_async_engine( + database_url, + pool_size=pool_size, + echo=echo, + pool_pre_ping=True, + ) + return async_sessionmaker( + engine, + class_=AsyncSession, + expire_on_commit=False, + autocommit=False, + autoflush=False, + ) diff --git a/src/noteflow/infrastructure/persistence/migrations/README b/src/noteflow/infrastructure/persistence/migrations/README new file mode 100644 index 0000000..e0d0858 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/migrations/README @@ -0,0 +1 @@ +Generic single-database configuration with an async dbapi. \ No newline at end of file diff --git a/src/noteflow/infrastructure/persistence/migrations/__init__.py b/src/noteflow/infrastructure/persistence/migrations/__init__.py new file mode 100644 index 0000000..dc4f942 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/migrations/__init__.py @@ -0,0 +1 @@ +"""Alembic database migrations for NoteFlow.""" diff --git a/src/noteflow/infrastructure/persistence/migrations/__pycache__/env.cpython-312.pyc b/src/noteflow/infrastructure/persistence/migrations/__pycache__/env.cpython-312.pyc new file mode 100644 index 0000000..c60d912 Binary files /dev/null and b/src/noteflow/infrastructure/persistence/migrations/__pycache__/env.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/persistence/migrations/env.py b/src/noteflow/infrastructure/persistence/migrations/env.py new file mode 100644 index 0000000..b810538 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/migrations/env.py @@ -0,0 +1,118 @@ +"""Alembic migration environment configuration.""" + + +from __future__ import annotations + +import asyncio +import os +from logging.config import fileConfig + +from alembic import context +from sqlalchemy import pool +from sqlalchemy.engine import Connection +from sqlalchemy.ext.asyncio import async_engine_from_config + +from noteflow.infrastructure.persistence.models import Base + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config + +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +# Import all models to ensure they're registered with Base.metadata +target_metadata = Base.metadata + +if database_url := os.environ.get("NOTEFLOW_DATABASE_URL"): + # Convert postgres:// to postgresql+asyncpg:// + if database_url.startswith("postgres://"): + database_url = database_url.replace("postgres://", "postgresql+asyncpg://", 1) + elif database_url.startswith("postgresql://"): + database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1) + config.set_main_option("sqlalchemy.url", database_url) + + +def include_object( + obj: object, + name: str | None, + type_: str, + reflected: bool, + compare_to: object | None, +) -> bool: + """Filter objects for autogenerate.""" + # Only include objects in the noteflow schema + if type_ == "table": + schema = getattr(obj, "schema", None) + return schema == "noteflow" + return True + + +def run_migrations_offline() -> None: + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + """ + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + include_schemas=True, + include_object=include_object, + version_table_schema="noteflow", + ) + + with context.begin_transaction(): + context.run_migrations() + + +def do_run_migrations(connection: Connection) -> None: + """Execute migrations with the provided connection.""" + context.configure( + connection=connection, + target_metadata=target_metadata, + include_schemas=True, + include_object=include_object, + version_table_schema="noteflow", + ) + + with context.begin_transaction(): + context.run_migrations() + + +async def run_async_migrations() -> None: + """Run migrations in async mode. + + Create an Engine and associate a connection with the context. + """ + connectable = async_engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + async with connectable.connect() as connection: + await connection.run_sync(do_run_migrations) + + await connectable.dispose() + + +def run_migrations_online() -> None: + """Run migrations in 'online' mode.""" + asyncio.run(run_async_migrations()) + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/src/noteflow/infrastructure/persistence/migrations/script.py.mako b/src/noteflow/infrastructure/persistence/migrations/script.py.mako new file mode 100644 index 0000000..1101630 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/migrations/script.py.mako @@ -0,0 +1,28 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + """Upgrade schema.""" + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + """Downgrade schema.""" + ${downgrades if downgrades else "pass"} diff --git a/src/noteflow/infrastructure/persistence/migrations/versions/6a9d9f408f40_initial_schema.py b/src/noteflow/infrastructure/persistence/migrations/versions/6a9d9f408f40_initial_schema.py new file mode 100644 index 0000000..f57c8fe --- /dev/null +++ b/src/noteflow/infrastructure/persistence/migrations/versions/6a9d9f408f40_initial_schema.py @@ -0,0 +1,221 @@ +"""initial_schema + +Revision ID: 6a9d9f408f40 +Revises: +Create Date: 2025-12-16 19:10:55.135444 + +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "6a9d9f408f40" +down_revision: str | Sequence[str] | None = None +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + +# Vector dimension for embeddings (OpenAI compatible) +EMBEDDING_DIM = 1536 + + +def upgrade() -> None: + """Create NoteFlow schema and tables.""" + # Create schema + op.execute("CREATE SCHEMA IF NOT EXISTS noteflow") + + # Enable pgvector extension + op.execute("CREATE EXTENSION IF NOT EXISTS vector") + + # Create meetings table + op.create_table( + "meetings", + sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True), + sa.Column("title", sa.String(255), nullable=False), + sa.Column("state", sa.Integer(), nullable=False, server_default="1"), + sa.Column( + "created_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.text("now()"), + ), + sa.Column("started_at", sa.DateTime(timezone=True), nullable=True), + sa.Column("ended_at", sa.DateTime(timezone=True), nullable=True), + sa.Column( + "metadata", + postgresql.JSONB(astext_type=sa.Text()), + nullable=False, + server_default="{}", + ), + sa.Column("wrapped_dek", sa.LargeBinary(), nullable=True), + schema="noteflow", + ) + + # Create segments table + op.create_table( + "segments", + sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True), + sa.Column( + "meeting_id", + postgresql.UUID(as_uuid=True), + sa.ForeignKey("noteflow.meetings.id", ondelete="CASCADE"), + nullable=False, + ), + sa.Column("segment_id", sa.Integer(), nullable=False), + sa.Column("text", sa.Text(), nullable=False), + sa.Column("start_time", sa.Float(), nullable=False), + sa.Column("end_time", sa.Float(), nullable=False), + sa.Column("language", sa.String(10), nullable=False, server_default="en"), + sa.Column("language_confidence", sa.Float(), nullable=False, server_default="0.0"), + sa.Column("avg_logprob", sa.Float(), nullable=False, server_default="0.0"), + sa.Column("no_speech_prob", sa.Float(), nullable=False, server_default="0.0"), + sa.Column( + "created_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.text("now()"), + ), + schema="noteflow", + ) + + # Add vector column for embeddings (pgvector) + op.execute(f"ALTER TABLE noteflow.segments ADD COLUMN embedding vector({EMBEDDING_DIM})") + + # Create index for vector similarity search + op.execute( + "CREATE INDEX IF NOT EXISTS ix_segments_embedding " + "ON noteflow.segments USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100)" + ) + + # Create index for meeting_id lookups + op.create_index( + "ix_segments_meeting_id", + "segments", + ["meeting_id"], + schema="noteflow", + ) + + # Create word_timings table + op.create_table( + "word_timings", + sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True), + sa.Column( + "segment_pk", + sa.Integer(), + sa.ForeignKey("noteflow.segments.id", ondelete="CASCADE"), + nullable=False, + ), + sa.Column("word", sa.String(255), nullable=False), + sa.Column("start_time", sa.Float(), nullable=False), + sa.Column("end_time", sa.Float(), nullable=False), + sa.Column("probability", sa.Float(), nullable=False), + schema="noteflow", + ) + + # Create index for segment_pk lookups + op.create_index( + "ix_word_timings_segment_pk", + "word_timings", + ["segment_pk"], + schema="noteflow", + ) + + # Create summaries table + op.create_table( + "summaries", + sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True), + sa.Column( + "meeting_id", + postgresql.UUID(as_uuid=True), + sa.ForeignKey("noteflow.meetings.id", ondelete="CASCADE"), + nullable=False, + unique=True, + ), + sa.Column("executive_summary", sa.Text(), nullable=True), + sa.Column( + "generated_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.text("now()"), + ), + sa.Column("model_version", sa.String(50), nullable=True), + schema="noteflow", + ) + + # Create key_points table + op.create_table( + "key_points", + sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True), + sa.Column( + "summary_id", + sa.Integer(), + sa.ForeignKey("noteflow.summaries.id", ondelete="CASCADE"), + nullable=False, + ), + sa.Column("text", sa.Text(), nullable=False), + sa.Column("start_time", sa.Float(), nullable=False, server_default="0.0"), + sa.Column("end_time", sa.Float(), nullable=False, server_default="0.0"), + sa.Column( + "segment_ids", + postgresql.JSONB(astext_type=sa.Text()), + nullable=False, + server_default="[]", + ), + schema="noteflow", + ) + + # Create index for summary_id lookups + op.create_index( + "ix_key_points_summary_id", + "key_points", + ["summary_id"], + schema="noteflow", + ) + + # Create action_items table + op.create_table( + "action_items", + sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True), + sa.Column( + "summary_id", + sa.Integer(), + sa.ForeignKey("noteflow.summaries.id", ondelete="CASCADE"), + nullable=False, + ), + sa.Column("text", sa.Text(), nullable=False), + sa.Column("assignee", sa.String(255), nullable=False, server_default=""), + sa.Column("due_date", sa.DateTime(timezone=True), nullable=True), + sa.Column("priority", sa.Integer(), nullable=False, server_default="0"), + sa.Column( + "segment_ids", + postgresql.JSONB(astext_type=sa.Text()), + nullable=False, + server_default="[]", + ), + schema="noteflow", + ) + + # Create index for summary_id lookups + op.create_index( + "ix_action_items_summary_id", + "action_items", + ["summary_id"], + schema="noteflow", + ) + + +def downgrade() -> None: + """Drop all NoteFlow tables and schema.""" + # Drop tables in reverse order (respecting foreign keys) + op.drop_table("action_items", schema="noteflow") + op.drop_table("key_points", schema="noteflow") + op.drop_table("summaries", schema="noteflow") + op.drop_table("word_timings", schema="noteflow") + op.drop_table("segments", schema="noteflow") + op.drop_table("meetings", schema="noteflow") + + # Drop schema + op.execute("DROP SCHEMA IF EXISTS noteflow CASCADE") diff --git a/src/noteflow/infrastructure/persistence/migrations/versions/__pycache__/6a9d9f408f40_initial_schema.cpython-312.pyc b/src/noteflow/infrastructure/persistence/migrations/versions/__pycache__/6a9d9f408f40_initial_schema.cpython-312.pyc new file mode 100644 index 0000000..fbc7f46 Binary files /dev/null and b/src/noteflow/infrastructure/persistence/migrations/versions/__pycache__/6a9d9f408f40_initial_schema.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/persistence/migrations/versions/b5c3e8a2d1f0_add_annotations_table.py b/src/noteflow/infrastructure/persistence/migrations/versions/b5c3e8a2d1f0_add_annotations_table.py new file mode 100644 index 0000000..611ff5e --- /dev/null +++ b/src/noteflow/infrastructure/persistence/migrations/versions/b5c3e8a2d1f0_add_annotations_table.py @@ -0,0 +1,79 @@ +"""add_annotations_table + +Revision ID: b5c3e8a2d1f0 +Revises: 6a9d9f408f40 +Create Date: 2025-12-17 10:00:00.000000 + +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "b5c3e8a2d1f0" +down_revision: str | Sequence[str] | None = "6a9d9f408f40" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Create annotations table for user-created annotations during recording.""" + op.create_table( + "annotations", + sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True), + sa.Column( + "annotation_id", + postgresql.UUID(as_uuid=True), + nullable=False, + unique=True, + ), + sa.Column( + "meeting_id", + postgresql.UUID(as_uuid=True), + sa.ForeignKey("noteflow.meetings.id", ondelete="CASCADE"), + nullable=False, + ), + sa.Column("annotation_type", sa.String(50), nullable=False), + sa.Column("text", sa.Text(), nullable=False), + sa.Column("start_time", sa.Float(), nullable=False), + sa.Column("end_time", sa.Float(), nullable=False), + sa.Column( + "segment_ids", + postgresql.JSONB(astext_type=sa.Text()), + nullable=False, + server_default="[]", + ), + sa.Column( + "created_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.text("now()"), + ), + schema="noteflow", + ) + + # Create index for meeting_id lookups + op.create_index( + "ix_annotations_meeting_id", + "annotations", + ["meeting_id"], + schema="noteflow", + ) + + # Create index for time-based queries + op.create_index( + "ix_annotations_time_range", + "annotations", + ["meeting_id", "start_time", "end_time"], + schema="noteflow", + ) + + +def downgrade() -> None: + """Drop annotations table.""" + op.drop_index("ix_annotations_time_range", table_name="annotations", schema="noteflow") + op.drop_index("ix_annotations_meeting_id", table_name="annotations", schema="noteflow") + op.drop_table("annotations", schema="noteflow") diff --git a/src/noteflow/infrastructure/persistence/models.py b/src/noteflow/infrastructure/persistence/models.py new file mode 100644 index 0000000..7ee7863 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/models.py @@ -0,0 +1,300 @@ +"""SQLAlchemy ORM models for NoteFlow.""" + +from __future__ import annotations + +from datetime import datetime +from typing import ClassVar +from uuid import uuid4 + +from pgvector.sqlalchemy import Vector +from sqlalchemy import ( + DateTime, + Float, + ForeignKey, + Integer, + LargeBinary, + String, + Text, +) +from sqlalchemy.dialects.postgresql import JSONB, UUID +from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship + +# Vector dimension for embeddings (OpenAI compatible) +EMBEDDING_DIM = 1536 + + +class Base(DeclarativeBase): + """Base class for all ORM models.""" + + pass + + +class MeetingModel(Base): + """SQLAlchemy model for meetings table.""" + + __tablename__ = "meetings" + __table_args__: ClassVar[dict[str, str]] = {"schema": "noteflow"} + + id: Mapped[UUID] = mapped_column( + UUID(as_uuid=True), + primary_key=True, + default=uuid4, + ) + title: Mapped[str] = mapped_column(String(255), nullable=False) + state: Mapped[int] = mapped_column(Integer, nullable=False, default=1) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + nullable=False, + default=datetime.now, + ) + started_at: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), + nullable=True, + ) + ended_at: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), + nullable=True, + ) + metadata_: Mapped[dict[str, str]] = mapped_column( + "metadata", + JSONB, + nullable=False, + default=dict, + ) + wrapped_dek: Mapped[bytes | None] = mapped_column( + LargeBinary, + nullable=True, + ) + + # Relationships + segments: Mapped[list[SegmentModel]] = relationship( + "SegmentModel", + back_populates="meeting", + cascade="all, delete-orphan", + lazy="selectin", + ) + summary: Mapped[SummaryModel | None] = relationship( + "SummaryModel", + back_populates="meeting", + cascade="all, delete-orphan", + uselist=False, + lazy="selectin", + ) + annotations: Mapped[list[AnnotationModel]] = relationship( + "AnnotationModel", + back_populates="meeting", + cascade="all, delete-orphan", + lazy="selectin", + ) + + +class SegmentModel(Base): + """SQLAlchemy model for segments table.""" + + __tablename__ = "segments" + __table_args__: ClassVar[dict[str, str]] = {"schema": "noteflow"} + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + meeting_id: Mapped[UUID] = mapped_column( + UUID(as_uuid=True), + ForeignKey("noteflow.meetings.id", ondelete="CASCADE"), + nullable=False, + ) + segment_id: Mapped[int] = mapped_column(Integer, nullable=False) + text: Mapped[str] = mapped_column(Text, nullable=False) + start_time: Mapped[float] = mapped_column(Float, nullable=False) + end_time: Mapped[float] = mapped_column(Float, nullable=False) + language: Mapped[str] = mapped_column(String(10), nullable=False, default="en") + language_confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.0) + avg_logprob: Mapped[float] = mapped_column(Float, nullable=False, default=0.0) + no_speech_prob: Mapped[float] = mapped_column(Float, nullable=False, default=0.0) + embedding: Mapped[list[float] | None] = mapped_column( + Vector(EMBEDDING_DIM), + nullable=True, + ) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + nullable=False, + default=datetime.now, + ) + + # Relationships + meeting: Mapped[MeetingModel] = relationship( + "MeetingModel", + back_populates="segments", + ) + words: Mapped[list[WordTimingModel]] = relationship( + "WordTimingModel", + back_populates="segment", + cascade="all, delete-orphan", + lazy="selectin", + ) + + +class WordTimingModel(Base): + """SQLAlchemy model for word_timings table.""" + + __tablename__ = "word_timings" + __table_args__: ClassVar[dict[str, str]] = {"schema": "noteflow"} + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + segment_pk: Mapped[int] = mapped_column( + Integer, + ForeignKey("noteflow.segments.id", ondelete="CASCADE"), + nullable=False, + ) + word: Mapped[str] = mapped_column(String(255), nullable=False) + start_time: Mapped[float] = mapped_column(Float, nullable=False) + end_time: Mapped[float] = mapped_column(Float, nullable=False) + probability: Mapped[float] = mapped_column(Float, nullable=False) + + # Relationships + segment: Mapped[SegmentModel] = relationship( + "SegmentModel", + back_populates="words", + ) + + +class SummaryModel(Base): + """SQLAlchemy model for summaries table.""" + + __tablename__ = "summaries" + __table_args__: ClassVar[dict[str, str]] = {"schema": "noteflow"} + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + meeting_id: Mapped[UUID] = mapped_column( + UUID(as_uuid=True), + ForeignKey("noteflow.meetings.id", ondelete="CASCADE"), + nullable=False, + unique=True, + ) + executive_summary: Mapped[str | None] = mapped_column(Text, nullable=True) + generated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + nullable=False, + default=datetime.now, + ) + model_version: Mapped[str | None] = mapped_column(String(50), nullable=True) + + # Relationships + meeting: Mapped[MeetingModel] = relationship( + "MeetingModel", + back_populates="summary", + ) + key_points: Mapped[list[KeyPointModel]] = relationship( + "KeyPointModel", + back_populates="summary", + cascade="all, delete-orphan", + lazy="selectin", + ) + action_items: Mapped[list[ActionItemModel]] = relationship( + "ActionItemModel", + back_populates="summary", + cascade="all, delete-orphan", + lazy="selectin", + ) + + +class KeyPointModel(Base): + """SQLAlchemy model for key_points table.""" + + __tablename__ = "key_points" + __table_args__: ClassVar[dict[str, str]] = {"schema": "noteflow"} + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + summary_id: Mapped[int] = mapped_column( + Integer, + ForeignKey("noteflow.summaries.id", ondelete="CASCADE"), + nullable=False, + ) + text: Mapped[str] = mapped_column(Text, nullable=False) + start_time: Mapped[float] = mapped_column(Float, nullable=False, default=0.0) + end_time: Mapped[float] = mapped_column(Float, nullable=False, default=0.0) + segment_ids: Mapped[list[int]] = mapped_column( + JSONB, + nullable=False, + default=list, + ) + + # Relationships + summary: Mapped[SummaryModel] = relationship( + "SummaryModel", + back_populates="key_points", + ) + + +class ActionItemModel(Base): + """SQLAlchemy model for action_items table.""" + + __tablename__ = "action_items" + __table_args__: ClassVar[dict[str, str]] = {"schema": "noteflow"} + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + summary_id: Mapped[int] = mapped_column( + Integer, + ForeignKey("noteflow.summaries.id", ondelete="CASCADE"), + nullable=False, + ) + text: Mapped[str] = mapped_column(Text, nullable=False) + assignee: Mapped[str] = mapped_column(String(255), nullable=False, default="") + due_date: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), + nullable=True, + ) + priority: Mapped[int] = mapped_column(Integer, nullable=False, default=0) + segment_ids: Mapped[list[int]] = mapped_column( + JSONB, + nullable=False, + default=list, + ) + + # Relationships + summary: Mapped[SummaryModel] = relationship( + "SummaryModel", + back_populates="action_items", + ) + + +class AnnotationModel(Base): + """SQLAlchemy model for annotations table. + + User-created annotations during recording. Distinct from LLM-extracted + ActionItem/KeyPoint which belong to Summary. Annotations belong directly + to Meeting and are created in real-time. + """ + + __tablename__ = "annotations" + __table_args__: ClassVar[dict[str, str]] = {"schema": "noteflow"} + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + annotation_id: Mapped[UUID] = mapped_column( + UUID(as_uuid=True), + nullable=False, + unique=True, + default=uuid4, + ) + meeting_id: Mapped[UUID] = mapped_column( + UUID(as_uuid=True), + ForeignKey("noteflow.meetings.id", ondelete="CASCADE"), + nullable=False, + ) + annotation_type: Mapped[str] = mapped_column(String(50), nullable=False) + text: Mapped[str] = mapped_column(Text, nullable=False) + start_time: Mapped[float] = mapped_column(Float, nullable=False) + end_time: Mapped[float] = mapped_column(Float, nullable=False) + segment_ids: Mapped[list[int]] = mapped_column( + JSONB, + nullable=False, + default=list, + ) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + nullable=False, + default=datetime.now, + ) + + # Relationships + meeting: Mapped[MeetingModel] = relationship( + "MeetingModel", + back_populates="annotations", + ) diff --git a/src/noteflow/infrastructure/persistence/repositories/__init__.py b/src/noteflow/infrastructure/persistence/repositories/__init__.py new file mode 100644 index 0000000..9d866e1 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/repositories/__init__.py @@ -0,0 +1,13 @@ +"""Repository implementations for NoteFlow.""" + +from .annotation_repo import SqlAlchemyAnnotationRepository +from .meeting_repo import SqlAlchemyMeetingRepository +from .segment_repo import SqlAlchemySegmentRepository +from .summary_repo import SqlAlchemySummaryRepository + +__all__ = [ + "SqlAlchemyAnnotationRepository", + "SqlAlchemyMeetingRepository", + "SqlAlchemySegmentRepository", + "SqlAlchemySummaryRepository", +] diff --git a/src/noteflow/infrastructure/persistence/repositories/__pycache__/__init__.cpython-312.pyc 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b/src/noteflow/infrastructure/persistence/repositories/annotation_repo.py new file mode 100644 index 0000000..9e05977 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/repositories/annotation_repo.py @@ -0,0 +1,216 @@ +"""SQLAlchemy implementation of AnnotationRepository.""" + +from __future__ import annotations + +from collections.abc import Sequence +from typing import TYPE_CHECKING +from uuid import UUID + +from sqlalchemy import and_, delete, or_, select +from sqlalchemy.ext.asyncio import AsyncSession + +from noteflow.domain.entities import Annotation +from noteflow.domain.value_objects import AnnotationId, AnnotationType +from noteflow.infrastructure.persistence.models import AnnotationModel + +if TYPE_CHECKING: + from noteflow.domain.value_objects import MeetingId + + +class SqlAlchemyAnnotationRepository: + """SQLAlchemy implementation of AnnotationRepository.""" + + def __init__(self, session: AsyncSession) -> None: + """Initialize repository with database session. + + Args: + session: SQLAlchemy async session. + """ + self._session = session + + async def add(self, annotation: Annotation) -> Annotation: + """Add an annotation to a meeting. + + Args: + annotation: Annotation to add. + + Returns: + Added annotation with db_id populated. + + Raises: + ValueError: If meeting does not exist. + """ + model = AnnotationModel( + annotation_id=UUID(str(annotation.id)), + meeting_id=UUID(str(annotation.meeting_id)), + annotation_type=annotation.annotation_type.value, + text=annotation.text, + start_time=annotation.start_time, + end_time=annotation.end_time, + segment_ids=annotation.segment_ids, + created_at=annotation.created_at, + ) + self._session.add(model) + await self._session.flush() + annotation.db_id = model.id + return annotation + + async def get(self, annotation_id: AnnotationId) -> Annotation | None: + """Retrieve an annotation by ID. + + Args: + annotation_id: Annotation identifier. + + Returns: + Annotation if found, None otherwise. + """ + stmt = select(AnnotationModel).where( + AnnotationModel.annotation_id == UUID(str(annotation_id)) + ) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + return None if model is None else self._to_entity(model) + + async def get_by_meeting( + self, + meeting_id: MeetingId, + ) -> Sequence[Annotation]: + """Get all annotations for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + List of annotations ordered by start_time. + """ + stmt = ( + select(AnnotationModel) + .where(AnnotationModel.meeting_id == UUID(str(meeting_id))) + .order_by(AnnotationModel.start_time) + ) + result = await self._session.execute(stmt) + models = result.scalars().all() + + return [self._to_entity(model) for model in models] + + async def get_by_time_range( + self, + meeting_id: MeetingId, + start_time: float, + end_time: float, + ) -> Sequence[Annotation]: + """Get annotations within a time range. + + Args: + meeting_id: Meeting identifier. + start_time: Start of time range in seconds. + end_time: End of time range in seconds. + + Returns: + List of annotations overlapping the time range. + """ + # Find annotations that overlap with the given time range + stmt = ( + select(AnnotationModel) + .where( + and_( + AnnotationModel.meeting_id == UUID(str(meeting_id)), + or_( + # Annotation starts within range + and_( + AnnotationModel.start_time >= start_time, + AnnotationModel.start_time <= end_time, + ), + # Annotation ends within range + and_( + AnnotationModel.end_time >= start_time, + AnnotationModel.end_time <= end_time, + ), + # Annotation spans entire range + and_( + AnnotationModel.start_time <= start_time, + AnnotationModel.end_time >= end_time, + ), + ), + ) + ) + .order_by(AnnotationModel.start_time) + ) + result = await self._session.execute(stmt) + models = result.scalars().all() + + return [self._to_entity(model) for model in models] + + async def update(self, annotation: Annotation) -> Annotation: + """Update an existing annotation. + + Args: + annotation: Annotation with updated fields. + + Returns: + Updated annotation. + + Raises: + ValueError: If annotation does not exist. + """ + stmt = select(AnnotationModel).where( + AnnotationModel.annotation_id == UUID(str(annotation.id)) + ) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + if model is None: + raise ValueError(f"Annotation {annotation.id} not found") + + model.annotation_type = annotation.annotation_type.value + model.text = annotation.text + model.start_time = annotation.start_time + model.end_time = annotation.end_time + model.segment_ids = annotation.segment_ids + + await self._session.flush() + return annotation + + async def delete(self, annotation_id: AnnotationId) -> bool: + """Delete an annotation. + + Args: + annotation_id: Annotation identifier. + + Returns: + True if deleted, False if not found. + """ + stmt = select(AnnotationModel).where( + AnnotationModel.annotation_id == UUID(str(annotation_id)) + ) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + if model is None: + return False + + await self._session.execute(delete(AnnotationModel).where(AnnotationModel.id == model.id)) + await self._session.flush() + return True + + def _to_entity(self, model: AnnotationModel) -> Annotation: + """Convert ORM model to domain entity. + + Args: + model: SQLAlchemy model. + + Returns: + Domain Annotation entity. + """ + return Annotation( + id=AnnotationId(model.annotation_id), + meeting_id=model.meeting_id, + annotation_type=AnnotationType(model.annotation_type), + text=model.text, + start_time=model.start_time, + end_time=model.end_time, + segment_ids=model.segment_ids, + created_at=model.created_at, + db_id=model.id, + ) diff --git a/src/noteflow/infrastructure/persistence/repositories/meeting_repo.py b/src/noteflow/infrastructure/persistence/repositories/meeting_repo.py new file mode 100644 index 0000000..4571b34 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/repositories/meeting_repo.py @@ -0,0 +1,188 @@ +"""SQLAlchemy implementation of MeetingRepository.""" + +from __future__ import annotations + +from collections.abc import Sequence +from uuid import UUID + +from sqlalchemy import func, select +from sqlalchemy.ext.asyncio import AsyncSession + +from noteflow.domain.entities import Meeting +from noteflow.domain.value_objects import MeetingId, MeetingState +from noteflow.infrastructure.persistence.models import MeetingModel + + +class SqlAlchemyMeetingRepository: + """SQLAlchemy implementation of MeetingRepository.""" + + def __init__(self, session: AsyncSession) -> None: + """Initialize repository with database session. + + Args: + session: SQLAlchemy async session. + """ + self._session = session + + async def create(self, meeting: Meeting) -> Meeting: + """Persist a new meeting. + + Args: + meeting: Meeting to create. + + Returns: + Created meeting. + """ + model = MeetingModel( + id=UUID(str(meeting.id)), + title=meeting.title, + state=int(meeting.state), + created_at=meeting.created_at, + started_at=meeting.started_at, + ended_at=meeting.ended_at, + metadata_=meeting.metadata, + wrapped_dek=meeting.wrapped_dek, + ) + self._session.add(model) + await self._session.flush() + return meeting + + async def get(self, meeting_id: MeetingId) -> Meeting | None: + """Retrieve a meeting by ID. + + Args: + meeting_id: Meeting identifier. + + Returns: + Meeting if found, None otherwise. + """ + stmt = select(MeetingModel).where(MeetingModel.id == UUID(str(meeting_id))) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + return None if model is None else self._to_entity(model) + + async def update(self, meeting: Meeting) -> Meeting: + """Update an existing meeting. + + Args: + meeting: Meeting with updated fields. + + Returns: + Updated meeting. + + Raises: + ValueError: If meeting does not exist. + """ + stmt = select(MeetingModel).where(MeetingModel.id == UUID(str(meeting.id))) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + if model is None: + raise ValueError(f"Meeting {meeting.id} not found") + + model.title = meeting.title + model.state = int(meeting.state) + model.started_at = meeting.started_at + model.ended_at = meeting.ended_at + model.metadata_ = meeting.metadata + model.wrapped_dek = meeting.wrapped_dek + + await self._session.flush() + return meeting + + async def delete(self, meeting_id: MeetingId) -> bool: + """Delete a meeting and all associated data. + + Args: + meeting_id: Meeting identifier. + + Returns: + True if deleted, False if not found. + """ + stmt = select(MeetingModel).where(MeetingModel.id == UUID(str(meeting_id))) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + if model is None: + return False + + await self._session.delete(model) + await self._session.flush() + return True + + async def list_all( + self, + states: list[MeetingState] | None = None, + limit: int = 100, + offset: int = 0, + sort_desc: bool = True, + ) -> tuple[Sequence[Meeting], int]: + """List meetings with optional filtering. + + Args: + states: Optional list of states to filter by. + limit: Maximum number of meetings to return. + offset: Number of meetings to skip. + sort_desc: Sort by created_at descending if True. + + Returns: + Tuple of (meetings list, total count matching filter). + """ + # Build base query + stmt = select(MeetingModel) + + # Filter by states + if states: + state_values = [int(s) for s in states] + stmt = stmt.where(MeetingModel.state.in_(state_values)) + + # Count total + count_stmt = select(func.count()).select_from(stmt.subquery()) + total_result = await self._session.execute(count_stmt) + total = total_result.scalar() or 0 + + # Sort and paginate + order_col = MeetingModel.created_at.desc() if sort_desc else MeetingModel.created_at.asc() + stmt = stmt.order_by(order_col).offset(offset).limit(limit) + + result = await self._session.execute(stmt) + models = result.scalars().all() + + meetings = [self._to_entity(m) for m in models] + return meetings, total + + async def count_by_state(self, state: MeetingState) -> int: + """Count meetings in a specific state. + + Args: + state: Meeting state to count. + + Returns: + Number of meetings in the specified state. + """ + stmt = ( + select(func.count()).select_from(MeetingModel).where(MeetingModel.state == int(state)) + ) + result = await self._session.execute(stmt) + return result.scalar() or 0 + + def _to_entity(self, model: MeetingModel) -> Meeting: + """Convert ORM model to domain entity. + + Args: + model: SQLAlchemy model. + + Returns: + Domain Meeting entity. + """ + return Meeting( + id=MeetingId(model.id), + title=model.title, + state=MeetingState(model.state), + created_at=model.created_at, + started_at=model.started_at, + ended_at=model.ended_at, + metadata=model.metadata_, + wrapped_dek=model.wrapped_dek, + ) diff --git a/src/noteflow/infrastructure/persistence/repositories/segment_repo.py b/src/noteflow/infrastructure/persistence/repositories/segment_repo.py new file mode 100644 index 0000000..e3adf66 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/repositories/segment_repo.py @@ -0,0 +1,216 @@ +"""SQLAlchemy implementation of SegmentRepository.""" + +from __future__ import annotations + +from collections.abc import Sequence +from uuid import UUID + +from sqlalchemy import func, select +from sqlalchemy.ext.asyncio import AsyncSession + +from noteflow.domain.entities import Segment +from noteflow.domain.value_objects import MeetingId +from noteflow.infrastructure.converters import OrmConverter +from noteflow.infrastructure.persistence.models import SegmentModel, WordTimingModel + + +class SqlAlchemySegmentRepository: + """SQLAlchemy implementation of SegmentRepository.""" + + def __init__(self, session: AsyncSession) -> None: + """Initialize repository with database session. + + Args: + session: SQLAlchemy async session. + """ + self._session = session + + async def add(self, meeting_id: MeetingId, segment: Segment) -> Segment: + """Add a segment to a meeting. + + Args: + meeting_id: Meeting identifier. + segment: Segment to add. + + Returns: + Added segment with db_id populated. + """ + model = SegmentModel( + meeting_id=UUID(str(meeting_id)), + segment_id=segment.segment_id, + text=segment.text, + start_time=segment.start_time, + end_time=segment.end_time, + language=segment.language, + language_confidence=segment.language_confidence, + avg_logprob=segment.avg_logprob, + no_speech_prob=segment.no_speech_prob, + embedding=segment.embedding, + ) + + # Add word timings + for word in segment.words: + word_kwargs = OrmConverter.word_timing_to_orm_kwargs(word) + word_model = WordTimingModel(**word_kwargs) + model.words.append(word_model) + + self._session.add(model) + await self._session.flush() + + # Update segment with db_id + segment.db_id = model.id + segment.meeting_id = meeting_id + return segment + + async def add_batch( + self, + meeting_id: MeetingId, + segments: Sequence[Segment], + ) -> Sequence[Segment]: + """Add multiple segments to a meeting in batch. + + Args: + meeting_id: Meeting identifier. + segments: Segments to add. + + Returns: + Added segments with db_ids populated. + """ + result_segments: list[Segment] = [] + + for segment in segments: + added = await self.add(meeting_id, segment) + result_segments.append(added) + + return result_segments + + async def get_by_meeting( + self, + meeting_id: MeetingId, + include_words: bool = True, + ) -> Sequence[Segment]: + """Get all segments for a meeting. + + Args: + meeting_id: Meeting identifier. + include_words: Include word-level timing. + + Returns: + List of segments ordered by segment_id. + """ + stmt = ( + select(SegmentModel) + .where(SegmentModel.meeting_id == UUID(str(meeting_id))) + .order_by(SegmentModel.segment_id) + ) + + result = await self._session.execute(stmt) + models = result.scalars().all() + + return [self._to_entity(m, include_words) for m in models] + + async def search_semantic( + self, + query_embedding: list[float], + limit: int = 10, + meeting_id: MeetingId | None = None, + ) -> Sequence[tuple[Segment, float]]: + """Search segments by semantic similarity. + + Args: + query_embedding: Query embedding vector. + limit: Maximum number of results. + meeting_id: Optional meeting to restrict search to. + + Returns: + List of (segment, similarity_score) tuples. + """ + # Build query with cosine similarity + similarity = SegmentModel.embedding.cosine_distance(query_embedding) + + stmt = select(SegmentModel, similarity.label("distance")).where( + SegmentModel.embedding.is_not(None) + ) + + if meeting_id: + stmt = stmt.where(SegmentModel.meeting_id == UUID(str(meeting_id))) + + stmt = stmt.order_by(similarity).limit(limit) + + result = await self._session.execute(stmt) + rows = result.all() + + results: list[tuple[Segment, float]] = [] + for row in rows: + model = row[0] + distance = row[1] + # Convert distance to similarity (1 - distance for cosine) + similarity_score = 1.0 - float(distance) + segment = self._to_entity(model, include_words=False) + results.append((segment, similarity_score)) + + return results + + async def update_embedding( + self, + segment_db_id: int, + embedding: list[float], + ) -> None: + """Update the embedding for a segment. + + Args: + segment_db_id: Segment database primary key. + embedding: New embedding vector. + """ + stmt = select(SegmentModel).where(SegmentModel.id == segment_db_id) + result = await self._session.execute(stmt) + if model := result.scalar_one_or_none(): + model.embedding = embedding + await self._session.flush() + + async def get_next_segment_id(self, meeting_id: MeetingId) -> int: + """Get the next segment_id for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + Next segment_id (max + 1), or 0 if no segments exist. + """ + stmt = select(func.max(SegmentModel.segment_id)).where( + SegmentModel.meeting_id == UUID(str(meeting_id)) + ) + result = await self._session.execute(stmt) + max_segment_id = result.scalar_one_or_none() + return 0 if max_segment_id is None else int(max_segment_id) + 1 + + def _to_entity(self, model: SegmentModel, include_words: bool = True) -> Segment: + """Convert ORM model to domain entity. + + Args: + model: SQLAlchemy model. + include_words: Include word timings. + + Returns: + Domain Segment entity. + """ + words = [] + if include_words: + words = [OrmConverter.word_timing_to_domain(w) for w in model.words] + + embedding = list(model.embedding) if model.embedding is not None else None + + return Segment( + segment_id=model.segment_id, + text=model.text, + start_time=model.start_time, + end_time=model.end_time, + meeting_id=MeetingId(model.meeting_id), + words=words, + language=model.language, + language_confidence=model.language_confidence, + avg_logprob=model.avg_logprob, + no_speech_prob=model.no_speech_prob, + embedding=embedding, + db_id=model.id, + ) diff --git a/src/noteflow/infrastructure/persistence/repositories/summary_repo.py b/src/noteflow/infrastructure/persistence/repositories/summary_repo.py new file mode 100644 index 0000000..fba2def --- /dev/null +++ b/src/noteflow/infrastructure/persistence/repositories/summary_repo.py @@ -0,0 +1,203 @@ +"""SQLAlchemy implementation of SummaryRepository.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING +from uuid import UUID + +from sqlalchemy import delete, select +from sqlalchemy.ext.asyncio import AsyncSession + +from noteflow.domain.entities import ActionItem, KeyPoint, Summary +from noteflow.infrastructure.persistence.models import ( + ActionItemModel, + KeyPointModel, + SummaryModel, +) + +if TYPE_CHECKING: + from noteflow.domain.value_objects import MeetingId + + +class SqlAlchemySummaryRepository: + """SQLAlchemy implementation of SummaryRepository.""" + + def __init__(self, session: AsyncSession) -> None: + """Initialize repository with database session. + + Args: + session: SQLAlchemy async session. + """ + self._session = session + + async def save(self, summary: Summary) -> Summary: + """Save or update a meeting summary. + + Args: + summary: Summary to save. + + Returns: + Saved summary with db_id populated. + """ + # Check if summary exists for this meeting + stmt = select(SummaryModel).where(SummaryModel.meeting_id == UUID(str(summary.meeting_id))) + result = await self._session.execute(stmt) + if existing := result.scalar_one_or_none(): + # Update existing summary + existing.executive_summary = summary.executive_summary + if summary.generated_at is not None: + existing.generated_at = summary.generated_at + existing.model_version = summary.model_version + + # Delete old key points and action items + await self._session.execute( + delete(KeyPointModel).where(KeyPointModel.summary_id == existing.id) + ) + await self._session.execute( + delete(ActionItemModel).where(ActionItemModel.summary_id == existing.id) + ) + + # Add new key points + for kp in summary.key_points: + kp_model = KeyPointModel( + summary_id=existing.id, + text=kp.text, + start_time=kp.start_time, + end_time=kp.end_time, + segment_ids=kp.segment_ids, + ) + self._session.add(kp_model) + + # Add new action items + for ai in summary.action_items: + ai_model = ActionItemModel( + summary_id=existing.id, + text=ai.text, + assignee=ai.assignee, + due_date=ai.due_date, + priority=ai.priority, + segment_ids=ai.segment_ids, + ) + self._session.add(ai_model) + + await self._session.flush() + summary.db_id = existing.id + else: + # Create new summary + model = SummaryModel( + meeting_id=UUID(str(summary.meeting_id)), + executive_summary=summary.executive_summary, + generated_at=summary.generated_at, + model_version=summary.model_version, + ) + self._session.add(model) + await self._session.flush() + + # Add key points + for kp in summary.key_points: + kp_model = KeyPointModel( + summary_id=model.id, + text=kp.text, + start_time=kp.start_time, + end_time=kp.end_time, + segment_ids=kp.segment_ids, + ) + self._session.add(kp_model) + await self._session.flush() + kp.db_id = kp_model.id + + # Add action items + for ai in summary.action_items: + ai_model = ActionItemModel( + summary_id=model.id, + text=ai.text, + assignee=ai.assignee, + due_date=ai.due_date, + priority=ai.priority, + segment_ids=ai.segment_ids, + ) + self._session.add(ai_model) + await self._session.flush() + ai.db_id = ai_model.id + + summary.db_id = model.id + + return summary + + async def get_by_meeting(self, meeting_id: MeetingId) -> Summary | None: + """Get summary for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + Summary if exists, None otherwise. + """ + stmt = select(SummaryModel).where(SummaryModel.meeting_id == UUID(str(meeting_id))) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + return None if model is None else self._to_entity(model, meeting_id) + + async def delete_by_meeting(self, meeting_id: MeetingId) -> bool: + """Delete summary for a meeting. + + Args: + meeting_id: Meeting identifier. + + Returns: + True if deleted, False if not found. + """ + stmt = select(SummaryModel).where(SummaryModel.meeting_id == UUID(str(meeting_id))) + result = await self._session.execute(stmt) + model = result.scalar_one_or_none() + + if model is None: + return False + + await self._session.delete(model) + await self._session.flush() + return True + + def _to_entity(self, model: SummaryModel, meeting_id: MeetingId) -> Summary: + """Convert ORM model to domain entity. + + Args: + model: SQLAlchemy model. + meeting_id: Meeting identifier. + + Returns: + Domain Summary entity. + """ + key_points = [ + KeyPoint( + text=kp.text, + segment_ids=kp.segment_ids, + start_time=kp.start_time, + end_time=kp.end_time, + db_id=kp.id, + ) + for kp in model.key_points + ] + + action_items = [ + ActionItem( + text=ai.text, + assignee=ai.assignee, + due_date=ai.due_date, + priority=ai.priority, + segment_ids=ai.segment_ids, + db_id=ai.id, + ) + for ai in model.action_items + ] + + return Summary( + meeting_id=meeting_id, + executive_summary=model.executive_summary or "", + key_points=key_points, + action_items=action_items, + generated_at=model.generated_at, + model_version=model.model_version or "", + db_id=model.id, + ) diff --git a/src/noteflow/infrastructure/persistence/unit_of_work.py b/src/noteflow/infrastructure/persistence/unit_of_work.py new file mode 100644 index 0000000..0c86131 --- /dev/null +++ b/src/noteflow/infrastructure/persistence/unit_of_work.py @@ -0,0 +1,124 @@ +"""SQLAlchemy implementation of Unit of Work pattern.""" + +from __future__ import annotations + +from typing import Self + +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker + +from .repositories import ( + SqlAlchemyAnnotationRepository, + SqlAlchemyMeetingRepository, + SqlAlchemySegmentRepository, + SqlAlchemySummaryRepository, +) + + +class SqlAlchemyUnitOfWork: + """SQLAlchemy implementation of Unit of Work. + + Provides transactional consistency across repositories. + Use as an async context manager for automatic commit/rollback. + + Example: + async with SqlAlchemyUnitOfWork(session_factory) as uow: + meeting = await uow.meetings.get(meeting_id) + await uow.segments.add(meeting_id, segment) + await uow.commit() + """ + + def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None: + """Initialize unit of work with session factory. + + Args: + session_factory: Factory for creating async sessions. + """ + self._session_factory = session_factory + self._session: AsyncSession | None = None + self._annotations_repo: SqlAlchemyAnnotationRepository | None = None + self._meetings_repo: SqlAlchemyMeetingRepository | None = None + self._segments_repo: SqlAlchemySegmentRepository | None = None + self._summaries_repo: SqlAlchemySummaryRepository | None = None + + @property + def annotations(self) -> SqlAlchemyAnnotationRepository: + """Get annotations repository.""" + if self._annotations_repo is None: + raise RuntimeError("UnitOfWork not in context") + return self._annotations_repo + + @property + def meetings(self) -> SqlAlchemyMeetingRepository: + """Get meetings repository.""" + if self._meetings_repo is None: + raise RuntimeError("UnitOfWork not in context") + return self._meetings_repo + + @property + def segments(self) -> SqlAlchemySegmentRepository: + """Get segments repository.""" + if self._segments_repo is None: + raise RuntimeError("UnitOfWork not in context") + return self._segments_repo + + @property + def summaries(self) -> SqlAlchemySummaryRepository: + """Get summaries repository.""" + if self._summaries_repo is None: + raise RuntimeError("UnitOfWork not in context") + return self._summaries_repo + + async def __aenter__(self) -> Self: + """Enter the unit of work context. + + Creates session and caches repository instances. + + Returns: + Self for use in async with statement. + """ + self._session = self._session_factory() + self._annotations_repo = SqlAlchemyAnnotationRepository(self._session) + self._meetings_repo = SqlAlchemyMeetingRepository(self._session) + self._segments_repo = SqlAlchemySegmentRepository(self._session) + self._summaries_repo = SqlAlchemySummaryRepository(self._session) + return self + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: object, + ) -> None: + """Exit the unit of work context. + + Rolls back on exception, otherwise does nothing (explicit commit required). + + Args: + exc_type: Exception type if raised. + exc_val: Exception value if raised. + exc_tb: Exception traceback if raised. + """ + if self._session is None: + return + + if exc_type is not None: + await self.rollback() + + await self._session.close() + self._session = None + self._annotations_repo = None + self._meetings_repo = None + self._segments_repo = None + self._summaries_repo = None + + async def commit(self) -> None: + """Commit the current transaction.""" + if self._session is None: + raise RuntimeError("UnitOfWork not in context") + await self._session.commit() + + async def rollback(self) -> None: + """Rollback the current transaction.""" + if self._session is None: + raise RuntimeError("UnitOfWork not in context") + await self._session.rollback() diff --git a/src/noteflow/infrastructure/security/__init__.py b/src/noteflow/infrastructure/security/__init__.py new file mode 100644 index 0000000..ef01547 --- /dev/null +++ b/src/noteflow/infrastructure/security/__init__.py @@ -0,0 +1,31 @@ +"""Security infrastructure module. + +Provides encryption and key management using OS credential stores. +""" + +from noteflow.infrastructure.security.crypto import ( + AesGcmCryptoBox, + ChunkedAssetReader, + ChunkedAssetWriter, +) +from noteflow.infrastructure.security.keystore import InMemoryKeyStore, KeyringKeyStore +from noteflow.infrastructure.security.protocols import ( + CryptoBox, + EncryptedAssetReader, + EncryptedAssetWriter, + EncryptedChunk, + KeyStore, +) + +__all__ = [ + "AesGcmCryptoBox", + "ChunkedAssetReader", + "ChunkedAssetWriter", + "CryptoBox", + "EncryptedAssetReader", + "EncryptedAssetWriter", + "EncryptedChunk", + "InMemoryKeyStore", + "KeyStore", + "KeyringKeyStore", +] diff --git a/src/noteflow/infrastructure/security/__pycache__/__init__.cpython-312.pyc b/src/noteflow/infrastructure/security/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..5c26f3a Binary files /dev/null and b/src/noteflow/infrastructure/security/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/security/__pycache__/crypto.cpython-312.pyc b/src/noteflow/infrastructure/security/__pycache__/crypto.cpython-312.pyc new file mode 100644 index 0000000..2f09177 Binary files /dev/null and b/src/noteflow/infrastructure/security/__pycache__/crypto.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/security/__pycache__/keystore.cpython-312.pyc b/src/noteflow/infrastructure/security/__pycache__/keystore.cpython-312.pyc new file mode 100644 index 0000000..8c800e2 Binary files /dev/null and b/src/noteflow/infrastructure/security/__pycache__/keystore.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/security/__pycache__/protocols.cpython-312.pyc b/src/noteflow/infrastructure/security/__pycache__/protocols.cpython-312.pyc new file mode 100644 index 0000000..259a8c4 Binary files /dev/null and b/src/noteflow/infrastructure/security/__pycache__/protocols.cpython-312.pyc differ diff --git a/src/noteflow/infrastructure/security/crypto.py b/src/noteflow/infrastructure/security/crypto.py new file mode 100644 index 0000000..68285a8 --- /dev/null +++ b/src/noteflow/infrastructure/security/crypto.py @@ -0,0 +1,313 @@ +"""Cryptographic operations implementation using cryptography library. + +Provides AES-GCM encryption for audio data with envelope encryption. +""" + +from __future__ import annotations + +import logging +import secrets +import struct +from collections.abc import Iterator +from pathlib import Path +from typing import TYPE_CHECKING, BinaryIO, Final + +from cryptography.hazmat.primitives.ciphers.aead import AESGCM + +from noteflow.infrastructure.security.protocols import EncryptedChunk + +if TYPE_CHECKING: + from noteflow.infrastructure.security.keystore import InMemoryKeyStore, KeyringKeyStore + +logger = logging.getLogger(__name__) + +# Constants +KEY_SIZE: Final[int] = 32 # 256-bit key +NONCE_SIZE: Final[int] = 12 # 96-bit nonce for AES-GCM +TAG_SIZE: Final[int] = 16 # 128-bit authentication tag + +# File format magic number and version +FILE_MAGIC: Final[bytes] = b"NFAE" # NoteFlow Audio Encrypted +FILE_VERSION: Final[int] = 1 + + +class AesGcmCryptoBox: + """AES-GCM based encryption with envelope encryption. + + Uses a master key to wrap/unwrap per-meeting Data Encryption Keys (DEKs). + Each audio chunk is encrypted with AES-256-GCM using the DEK. + """ + + def __init__(self, keystore: KeyringKeyStore | InMemoryKeyStore) -> None: + """Initialize the crypto box. + + Args: + keystore: KeyStore instance for master key access. + """ + self._keystore = keystore + self._master_cipher: AESGCM | None = None + + def _get_master_cipher(self) -> AESGCM: + """Get or create the master key cipher.""" + if self._master_cipher is None: + master_key = self._keystore.get_or_create_master_key() + self._master_cipher = AESGCM(master_key) + return self._master_cipher + + def generate_dek(self) -> bytes: + """Generate a new Data Encryption Key. + + Returns: + 32-byte random DEK. + """ + return secrets.token_bytes(KEY_SIZE) + + def wrap_dek(self, dek: bytes) -> bytes: + """Encrypt DEK with master key. + + Args: + dek: Data Encryption Key to wrap. + + Returns: + Encrypted DEK (nonce || ciphertext || tag). + """ + cipher = self._get_master_cipher() + nonce = secrets.token_bytes(NONCE_SIZE) + ciphertext = cipher.encrypt(nonce, dek, associated_data=None) + # Return nonce || ciphertext (tag is appended by AESGCM) + return nonce + ciphertext + + def unwrap_dek(self, wrapped_dek: bytes) -> bytes: + """Decrypt DEK with master key. + + Args: + wrapped_dek: Encrypted DEK from wrap_dek(). + + Returns: + Original DEK. + + Raises: + ValueError: If decryption fails. + """ + if len(wrapped_dek) < NONCE_SIZE + KEY_SIZE + TAG_SIZE: + raise ValueError("Invalid wrapped DEK: too short") + + cipher = self._get_master_cipher() + nonce = wrapped_dek[:NONCE_SIZE] + ciphertext = wrapped_dek[NONCE_SIZE:] + + try: + return cipher.decrypt(nonce, ciphertext, associated_data=None) + except Exception as e: + raise ValueError(f"DEK unwrap failed: {e}") from e + + def encrypt_chunk(self, plaintext: bytes, dek: bytes) -> EncryptedChunk: + """Encrypt a chunk of data with AES-GCM. + + Args: + plaintext: Data to encrypt. + dek: Data Encryption Key. + + Returns: + EncryptedChunk with nonce, ciphertext, and tag. + """ + cipher = AESGCM(dek) + nonce = secrets.token_bytes(NONCE_SIZE) + + # AESGCM appends the tag to ciphertext + ciphertext_with_tag = cipher.encrypt(nonce, plaintext, associated_data=None) + + # Split ciphertext and tag + ciphertext = ciphertext_with_tag[:-TAG_SIZE] + tag = ciphertext_with_tag[-TAG_SIZE:] + + return EncryptedChunk(nonce=nonce, ciphertext=ciphertext, tag=tag) + + def decrypt_chunk(self, chunk: EncryptedChunk, dek: bytes) -> bytes: + """Decrypt a chunk of data. + + Args: + chunk: EncryptedChunk to decrypt. + dek: Data Encryption Key. + + Returns: + Original plaintext. + + Raises: + ValueError: If decryption fails. + """ + cipher = AESGCM(dek) + + # Reconstruct ciphertext with tag for AESGCM + ciphertext_with_tag = chunk.ciphertext + chunk.tag + + try: + return cipher.decrypt(chunk.nonce, ciphertext_with_tag, associated_data=None) + except Exception as e: + raise ValueError(f"Chunk decryption failed: {e}") from e + + +class ChunkedAssetWriter: + """Streaming encrypted asset writer. + + File format: + - 4 bytes: magic ("NFAE") + - 1 byte: version + - For each chunk: + - 4 bytes: chunk length (big-endian) + - 12 bytes: nonce + - N bytes: ciphertext + - 16 bytes: tag + """ + + def __init__(self, crypto: AesGcmCryptoBox) -> None: + """Initialize the writer. + + Args: + crypto: CryptoBox instance for encryption. + """ + self._crypto = crypto + self._file: Path | None = None + self._dek: bytes | None = None + self._handle: BinaryIO | None = None + self._bytes_written: int = 0 + + def open(self, path: Path, dek: bytes) -> None: + """Open file for writing. + + Args: + path: Path to the encrypted file. + dek: Data Encryption Key for this file. + """ + if self._handle is not None: + raise RuntimeError("Already open") + + self._file = path + self._dek = dek + self._handle = path.open("wb") + self._bytes_written = 0 + + # Write header + self._handle.write(FILE_MAGIC) + self._handle.write(struct.pack("B", FILE_VERSION)) + + logger.debug("Opened encrypted file for writing: %s", path) + + def write_chunk(self, audio_bytes: bytes) -> None: + """Write and encrypt an audio chunk.""" + if self._handle is None or self._dek is None: + raise RuntimeError("File not open") + + # Encrypt the chunk + chunk = self._crypto.encrypt_chunk(audio_bytes, self._dek) + + # Calculate total chunk size (nonce + ciphertext + tag) + chunk_data = chunk.nonce + chunk.ciphertext + chunk.tag + chunk_length = len(chunk_data) + + # Write length prefix and chunk data + self._handle.write(struct.pack(">I", chunk_length)) + self._handle.write(chunk_data) + self._handle.flush() + + self._bytes_written += 4 + chunk_length + + def close(self) -> None: + """Finalize and close the file.""" + if self._handle is not None: + self._handle.close() + self._handle = None + logger.debug("Closed encrypted file, wrote %d bytes", self._bytes_written) + + self._dek = None + + @property + def is_open(self) -> bool: + """Check if file is open for writing.""" + return self._handle is not None + + @property + def bytes_written(self) -> int: + """Total encrypted bytes written.""" + return self._bytes_written + + +class ChunkedAssetReader: + """Streaming encrypted asset reader.""" + + def __init__(self, crypto: AesGcmCryptoBox) -> None: + """Initialize the reader. + + Args: + crypto: CryptoBox instance for decryption. + """ + self._crypto = crypto + self._file: Path | None = None + self._dek: bytes | None = None + self._handle: BinaryIO | None = None + + def open(self, path: Path, dek: bytes) -> None: + """Open file for reading.""" + if self._handle is not None: + raise RuntimeError("Already open") + + self._file = path + self._dek = dek + self._handle = path.open("rb") + + # Read and validate header + magic = self._handle.read(4) + if magic != FILE_MAGIC: + self._handle.close() + self._handle = None + raise ValueError(f"Invalid file format: expected {FILE_MAGIC!r}, got {magic!r}") + + version = struct.unpack("B", self._handle.read(1))[0] + if version != FILE_VERSION: + self._handle.close() + self._handle = None + raise ValueError(f"Unsupported file version: {version}") + + logger.debug("Opened encrypted file for reading: %s", path) + + def read_chunks(self) -> Iterator[bytes]: + """Yield decrypted audio chunks.""" + if self._handle is None or self._dek is None: + raise RuntimeError("File not open") + + while True: + # Read chunk length + length_bytes = self._handle.read(4) + if len(length_bytes) < 4: + break # End of file + + chunk_length = struct.unpack(">I", length_bytes)[0] + + # Read chunk data + chunk_data = self._handle.read(chunk_length) + if len(chunk_data) < chunk_length: + raise ValueError("Truncated chunk") + + # Parse chunk (nonce + ciphertext + tag) + nonce = chunk_data[:NONCE_SIZE] + ciphertext = chunk_data[NONCE_SIZE:-TAG_SIZE] + tag = chunk_data[-TAG_SIZE:] + + chunk = EncryptedChunk(nonce=nonce, ciphertext=ciphertext, tag=tag) + + # Decrypt and yield + yield self._crypto.decrypt_chunk(chunk, self._dek) + + def close(self) -> None: + """Close the file.""" + if self._handle is not None: + self._handle.close() + self._handle = None + logger.debug("Closed encrypted file") + + self._dek = None + + @property + def is_open(self) -> bool: + """Check if file is open for reading.""" + return self._handle is not None diff --git a/src/noteflow/infrastructure/security/keystore.py b/src/noteflow/infrastructure/security/keystore.py new file mode 100644 index 0000000..f53e100 --- /dev/null +++ b/src/noteflow/infrastructure/security/keystore.py @@ -0,0 +1,135 @@ +"""Keystore implementation using the keyring library. + +Provides secure master key storage using OS credential stores. +""" + +from __future__ import annotations + +import base64 +import logging +import secrets +from typing import Final + +import keyring + +logger = logging.getLogger(__name__) + +# Constants +KEY_SIZE: Final[int] = 32 # 256-bit key +SERVICE_NAME: Final[str] = "noteflow" +KEY_NAME: Final[str] = "master_key" + + +class KeyringKeyStore: + """keyring-based key storage using OS credential store. + + Uses: + - macOS: Keychain + - Windows: Credential Manager + - Linux: SecretService (GNOME Keyring, KWallet) + """ + + def __init__( + self, + service_name: str = SERVICE_NAME, + key_name: str = KEY_NAME, + ) -> None: + """Initialize the keystore. + + Args: + service_name: Service identifier for keyring. + key_name: Key identifier within the service. + """ + self._service_name = service_name + self._key_name = key_name + + def get_or_create_master_key(self) -> bytes: + """Retrieve or generate the master encryption key. + + Returns: + 32-byte master key. + + Raises: + RuntimeError: If keychain is unavailable. + """ + try: + # Try to retrieve existing key + stored = keyring.get_password(self._service_name, self._key_name) + if stored is not None: + logger.debug("Retrieved existing master key") + return base64.b64decode(stored) + + # Generate new key + new_key = secrets.token_bytes(KEY_SIZE) + encoded = base64.b64encode(new_key).decode("ascii") + + # Store in keyring + keyring.set_password(self._service_name, self._key_name, encoded) + logger.info("Generated and stored new master key") + return new_key + + except keyring.errors.KeyringError as e: + raise RuntimeError(f"Keyring unavailable: {e}") from e + + def delete_master_key(self) -> None: + """Delete the master key from the keychain. + + Safe to call if key doesn't exist. + """ + try: + keyring.delete_password(self._service_name, self._key_name) + logger.info("Deleted master key") + except keyring.errors.PasswordDeleteError: + # Key doesn't exist, that's fine + logger.debug("Master key not found, nothing to delete") + except keyring.errors.KeyringError as e: + logger.warning("Failed to delete master key: %s", e) + + def has_master_key(self) -> bool: + """Check if master key exists in the keychain. + + Returns: + True if master key exists. + """ + try: + stored = keyring.get_password(self._service_name, self._key_name) + return stored is not None + except keyring.errors.KeyringError: + return False + + @property + def service_name(self) -> str: + """Get the service name used for keyring.""" + return self._service_name + + @property + def key_name(self) -> str: + """Get the key name used for keyring.""" + return self._key_name + + +class InMemoryKeyStore: + """In-memory key storage for testing. + + Keys are lost when the process exits. + """ + + def __init__(self) -> None: + """Initialize the in-memory keystore.""" + self._key: bytes | None = None + + def get_or_create_master_key(self) -> bytes: + """Retrieve or generate the master encryption key.""" + if self._key is None: + self._key = secrets.token_bytes(KEY_SIZE) + logger.debug("Generated in-memory master key") + return self._key + + def delete_master_key(self) -> None: + """Delete the master key.""" + self._key = None + logger.debug("Deleted in-memory master key") + + def has_master_key(self) -> bool: + """Check if master key exists.""" + return self._key is not None diff --git a/src/noteflow/infrastructure/security/protocols.py b/src/noteflow/infrastructure/security/protocols.py new file mode 100644 index 0000000..348eca8 --- /dev/null +++ b/src/noteflow/infrastructure/security/protocols.py @@ -0,0 +1,220 @@ +"""Security protocols and data types. + +These protocols define the contracts for key storage and encryption components. +""" + +from __future__ import annotations + +from collections.abc import Iterator +from dataclasses import dataclass +from pathlib import Path +from typing import Protocol + + +@dataclass(frozen=True) +class EncryptedChunk: + """An encrypted chunk of data with authentication tag.""" + + nonce: bytes # Unique nonce for this chunk + ciphertext: bytes # Encrypted data + tag: bytes # Authentication tag + + +class KeyStore(Protocol): + """Protocol for OS keychain access. + + Implementations should use the OS credential store (Keychain, Credential Manager) + to securely store the master encryption key. + """ + + def get_or_create_master_key(self) -> bytes: + """Retrieve or generate the master encryption key. + + If the master key doesn't exist, generates a new 32-byte key + and stores it in the OS keychain. + + Returns: + 32-byte master key. + + Raises: + RuntimeError: If keychain is unavailable or locked. + """ + ... + + def delete_master_key(self) -> None: + """Delete the master key from the keychain. + + This renders all encrypted data permanently unrecoverable. + + Safe to call if key doesn't exist. + """ + ... + + def has_master_key(self) -> bool: + """Check if master key exists in the keychain. + + Returns: + True if master key exists. + """ + ... + + +class CryptoBox(Protocol): + """Protocol for envelope encryption with per-meeting keys. + + Uses a master key to wrap/unwrap Data Encryption Keys (DEKs), + which are used to encrypt actual meeting data. + """ + + def generate_dek(self) -> bytes: + """Generate a new Data Encryption Key. + + Returns: + 32-byte random DEK. + """ + ... + + def wrap_dek(self, dek: bytes) -> bytes: + """Encrypt DEK with master key. + + Args: + dek: Data Encryption Key to wrap. + + Returns: + Encrypted DEK (can be stored in DB). + """ + ... + + def unwrap_dek(self, wrapped_dek: bytes) -> bytes: + """Decrypt DEK with master key. + + Args: + wrapped_dek: Encrypted DEK from wrap_dek(). + + Returns: + Original DEK. + + Raises: + ValueError: If decryption fails (invalid or tampered). + """ + ... + + def encrypt_chunk(self, plaintext: bytes, dek: bytes) -> EncryptedChunk: + """Encrypt a chunk of data with AES-GCM. + + Args: + plaintext: Data to encrypt. + dek: Data Encryption Key. + + Returns: + EncryptedChunk with nonce, ciphertext, and tag. + """ + ... + + def decrypt_chunk(self, chunk: EncryptedChunk, dek: bytes) -> bytes: + """Decrypt a chunk of data. + + Args: + chunk: EncryptedChunk to decrypt. + dek: Data Encryption Key. + + Returns: + Original plaintext. + + Raises: + ValueError: If decryption fails (invalid or tampered). + """ + ... + + +class EncryptedAssetWriter(Protocol): + """Protocol for streaming encrypted audio writer. + + Writes audio chunks encrypted with a DEK to a file. + """ + + def open(self, path: Path, dek: bytes) -> None: + """Open file for writing. + + Args: + path: Path to the encrypted file. + dek: Data Encryption Key for this file. + + Raises: + RuntimeError: If already open. + OSError: If file cannot be created. + """ + ... + + def write_chunk(self, audio_bytes: bytes) -> None: + """Write and encrypt an audio chunk. + + Args: + audio_bytes: Raw audio data to encrypt and write. + + Raises: + RuntimeError: If not open. + """ + ... + + def close(self) -> None: + """Finalize and close the file. + + Safe to call if already closed. + """ + ... + + @property + def is_open(self) -> bool: + """Check if file is open for writing.""" + ... + + @property + def bytes_written(self) -> int: + """Total encrypted bytes written.""" + ... + + +class EncryptedAssetReader(Protocol): + """Protocol for streaming encrypted audio reader. + + Reads and decrypts audio chunks from a file. + """ + + def open(self, path: Path, dek: bytes) -> None: + """Open file for reading. + + Args: + path: Path to the encrypted file. + dek: Data Encryption Key for this file. + + Raises: + RuntimeError: If already open. + OSError: If file cannot be read. + ValueError: If file format is invalid. + """ + ... + + def read_chunks(self) -> Iterator[bytes]: + """Yield decrypted audio chunks. + + Yields: + Decrypted audio data chunks. + + Raises: + RuntimeError: If not open. + ValueError: If decryption fails. + """ + ... + + def close(self) -> None: + """Close the file. + + Safe to call if already closed. + """ + ... + + @property + def is_open(self) -> bool: + """Check if file is open for reading.""" + ... diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..7a10262 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""NoteFlow test suite.""" diff --git a/tests/__pycache__/__init__.cpython-312.pyc b/tests/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..322a440 Binary files /dev/null and b/tests/__pycache__/__init__.cpython-312.pyc differ diff --git a/tests/application/__init__.py b/tests/application/__init__.py new file mode 100644 index 0000000..f5ad290 --- /dev/null +++ b/tests/application/__init__.py @@ -0,0 +1 @@ +"""Application layer unit tests.""" diff --git a/tests/application/__pycache__/__init__.cpython-312.pyc b/tests/application/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..8abbd2b Binary files /dev/null and b/tests/application/__pycache__/__init__.cpython-312.pyc differ diff --git a/tests/application/__pycache__/test_meeting_service.cpython-312-pytest-9.0.2.pyc b/tests/application/__pycache__/test_meeting_service.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..d87a6e9 Binary files /dev/null and b/tests/application/__pycache__/test_meeting_service.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/application/__pycache__/test_recovery_service.cpython-312-pytest-9.0.2.pyc b/tests/application/__pycache__/test_recovery_service.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..1f0b3c4 Binary files /dev/null and b/tests/application/__pycache__/test_recovery_service.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/application/test_meeting_service.py b/tests/application/test_meeting_service.py new file mode 100644 index 0000000..17434f3 --- /dev/null +++ b/tests/application/test_meeting_service.py @@ -0,0 +1,478 @@ +"""Tests for MeetingService application service.""" + +from __future__ import annotations + +from datetime import UTC, datetime +from typing import TYPE_CHECKING +from unittest.mock import AsyncMock, MagicMock +from uuid import uuid4 + +import pytest + +from noteflow.application.services.meeting_service import MeetingService +from noteflow.domain.entities import Annotation, Meeting, Segment, Summary +from noteflow.domain.value_objects import AnnotationId, AnnotationType, MeetingId, MeetingState + +if TYPE_CHECKING: + from collections.abc import Sequence + + +class TestMeetingServiceCreation: + """Tests for meeting creation operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.rollback = AsyncMock() + uow.meetings = MagicMock() + uow.segments = MagicMock() + uow.summaries = MagicMock() + return uow + + async def test_create_meeting_success(self, mock_uow: MagicMock) -> None: + """Test successful meeting creation.""" + created_meeting = Meeting.create(title="Test Meeting") + mock_uow.meetings.create = AsyncMock(return_value=created_meeting) + + service = MeetingService(mock_uow) + result = await service.create_meeting(title="Test Meeting") + + assert result.title == "Test Meeting" + mock_uow.meetings.create.assert_called_once() + mock_uow.commit.assert_called_once() + + async def test_create_meeting_with_metadata(self, mock_uow: MagicMock) -> None: + """Test meeting creation with metadata.""" + metadata = {"project": "NoteFlow"} + created_meeting = Meeting.create(title="Test", metadata=metadata) + mock_uow.meetings.create = AsyncMock(return_value=created_meeting) + + service = MeetingService(mock_uow) + result = await service.create_meeting(title="Test", metadata=metadata) + + assert result.metadata == metadata + + +class TestMeetingServiceRetrieval: + """Tests for meeting retrieval operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.meetings = MagicMock() + uow.segments = MagicMock() + uow.summaries = MagicMock() + return uow + + async def test_get_meeting_found(self, mock_uow: MagicMock) -> None: + """Test retrieving existing meeting.""" + meeting_id = MeetingId(uuid4()) + expected_meeting = Meeting.create(title="Found") + mock_uow.meetings.get = AsyncMock(return_value=expected_meeting) + + service = MeetingService(mock_uow) + result = await service.get_meeting(meeting_id) + + assert result is not None + assert result.title == "Found" + + async def test_get_meeting_not_found(self, mock_uow: MagicMock) -> None: + """Test retrieving non-existent meeting.""" + meeting_id = MeetingId(uuid4()) + mock_uow.meetings.get = AsyncMock(return_value=None) + + service = MeetingService(mock_uow) + result = await service.get_meeting(meeting_id) + + assert result is None + + async def test_list_meetings(self, mock_uow: MagicMock) -> None: + """Test listing meetings with pagination.""" + meetings: Sequence[Meeting] = [ + Meeting.create(title="Meeting 1"), + Meeting.create(title="Meeting 2"), + ] + mock_uow.meetings.list_all = AsyncMock(return_value=(meetings, 10)) + + service = MeetingService(mock_uow) + result, total = await service.list_meetings(limit=2, offset=0) + + assert len(result) == 2 + assert total == 10 + mock_uow.meetings.list_all.assert_called_once_with( + states=None, limit=2, offset=0, sort_desc=True + ) + + +class TestMeetingServiceStateTransitions: + """Tests for meeting state transition operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.meetings = MagicMock() + return uow + + async def test_start_recording_success(self, mock_uow: MagicMock) -> None: + """Test starting recording on existing meeting.""" + meeting = Meeting.create(title="Test") + meeting_id = meeting.id + mock_uow.meetings.get = AsyncMock(return_value=meeting) + mock_uow.meetings.update = AsyncMock(return_value=meeting) + + service = MeetingService(mock_uow) + result = await service.start_recording(meeting_id) + + assert result is not None + assert result.state == MeetingState.RECORDING + mock_uow.commit.assert_called_once() + + async def test_start_recording_invalid_state_raises(self, mock_uow: MagicMock) -> None: + """Test start_recording propagates invalid transition errors.""" + meeting = Meeting.create(title="Test") + meeting.start_recording() + mock_uow.meetings.get = AsyncMock(return_value=meeting) + + service = MeetingService(mock_uow) + + with pytest.raises(ValueError, match="Cannot start recording"): + await service.start_recording(meeting.id) + + mock_uow.commit.assert_not_called() + + async def test_start_recording_not_found(self, mock_uow: MagicMock) -> None: + """Test starting recording on non-existent meeting.""" + meeting_id = MeetingId(uuid4()) + mock_uow.meetings.get = AsyncMock(return_value=None) + + service = MeetingService(mock_uow) + result = await service.start_recording(meeting_id) + + assert result is None + mock_uow.commit.assert_not_called() + + async def test_stop_meeting_success(self, mock_uow: MagicMock) -> None: + """Test stopping recording on meeting.""" + meeting = Meeting.create(title="Test") + meeting.start_recording() # Move to RECORDING state + meeting_id = meeting.id + mock_uow.meetings.get = AsyncMock(return_value=meeting) + mock_uow.meetings.update = AsyncMock(return_value=meeting) + + service = MeetingService(mock_uow) + result = await service.stop_meeting(meeting_id) + + assert result is not None + assert result.state == MeetingState.STOPPED + mock_uow.commit.assert_called_once() + + async def test_stop_meeting_invalid_state_raises(self, mock_uow: MagicMock) -> None: + """Test stop_meeting raises when not in RECORDING state.""" + meeting = Meeting.create(title="Test") + mock_uow.meetings.get = AsyncMock(return_value=meeting) + + service = MeetingService(mock_uow) + + with pytest.raises(ValueError, match="Cannot begin stopping"): + await service.stop_meeting(meeting.id) + + mock_uow.commit.assert_not_called() + + async def test_complete_meeting_success(self, mock_uow: MagicMock) -> None: + """Test completing a stopped meeting.""" + meeting = Meeting.create(title="Test") + meeting.start_recording() + meeting.begin_stopping() + meeting.stop_recording() # Move to STOPPED state (via STOPPING) + meeting_id = meeting.id + mock_uow.meetings.get = AsyncMock(return_value=meeting) + mock_uow.meetings.update = AsyncMock(return_value=meeting) + + service = MeetingService(mock_uow) + result = await service.complete_meeting(meeting_id) + + assert result is not None + assert result.state == MeetingState.COMPLETED + mock_uow.commit.assert_called_once() + + async def test_complete_meeting_invalid_state_raises(self, mock_uow: MagicMock) -> None: + """Test complete_meeting raises from invalid state.""" + meeting = Meeting.create(title="Test") + mock_uow.meetings.get = AsyncMock(return_value=meeting) + + service = MeetingService(mock_uow) + + with pytest.raises(ValueError, match="Cannot complete"): + await service.complete_meeting(meeting.id) + + mock_uow.commit.assert_not_called() + + +class TestMeetingServiceDeletion: + """Tests for meeting deletion operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.meetings = MagicMock() + return uow + + async def test_delete_meeting_success(self, mock_uow: MagicMock) -> None: + """Test successful meeting deletion.""" + meeting_id = MeetingId(uuid4()) + mock_uow.meetings.delete = AsyncMock(return_value=True) + + service = MeetingService(mock_uow) + result = await service.delete_meeting(meeting_id) + + assert result is True + mock_uow.commit.assert_called_once() + + async def test_delete_meeting_not_found(self, mock_uow: MagicMock) -> None: + """Test deleting non-existent meeting.""" + meeting_id = MeetingId(uuid4()) + mock_uow.meetings.delete = AsyncMock(return_value=False) + + service = MeetingService(mock_uow) + result = await service.delete_meeting(meeting_id) + + assert result is False + mock_uow.commit.assert_not_called() + + +class TestMeetingServiceSegments: + """Tests for segment operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.segments = MagicMock() + return uow + + async def test_add_segment_success(self, mock_uow: MagicMock) -> None: + """Test adding a segment to meeting.""" + meeting_id = MeetingId(uuid4()) + segment = Segment( + segment_id=0, text="Hello", start_time=0.0, end_time=1.0, meeting_id=meeting_id + ) + mock_uow.segments.add = AsyncMock(return_value=segment) + + service = MeetingService(mock_uow) + result = await service.add_segment( + meeting_id=meeting_id, + segment_id=0, + text="Hello", + start_time=0.0, + end_time=1.0, + ) + + assert result.text == "Hello" + mock_uow.segments.add.assert_called_once() + mock_uow.commit.assert_called_once() + + async def test_get_segments(self, mock_uow: MagicMock) -> None: + """Test retrieving segments for meeting.""" + meeting_id = MeetingId(uuid4()) + segments: Sequence[Segment] = [ + Segment(segment_id=0, text="First", start_time=0.0, end_time=1.0), + Segment(segment_id=1, text="Second", start_time=1.0, end_time=2.0), + ] + mock_uow.segments.get_by_meeting = AsyncMock(return_value=segments) + + service = MeetingService(mock_uow) + result = await service.get_segments(meeting_id) + + assert len(result) == 2 + mock_uow.segments.get_by_meeting.assert_called_once_with(meeting_id, include_words=True) + + async def test_add_segments_batch(self, mock_uow: MagicMock) -> None: + """Test batch adding segments commits once.""" + meeting_id = MeetingId(uuid4()) + segments = [ + Segment(segment_id=0, text="A", start_time=0.0, end_time=1.0), + Segment(segment_id=1, text="B", start_time=1.0, end_time=2.0), + ] + mock_uow.segments.add_batch = AsyncMock(return_value=segments) + + service = MeetingService(mock_uow) + result = await service.add_segments_batch(meeting_id=meeting_id, segments=segments) + + assert len(result) == 2 + mock_uow.segments.add_batch.assert_called_once_with(meeting_id, segments) + mock_uow.commit.assert_called_once() + + +class TestMeetingServiceSummaries: + """Tests for summary operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.summaries = MagicMock() + return uow + + async def test_save_summary_success(self, mock_uow: MagicMock) -> None: + """Test saving a meeting summary.""" + meeting_id = MeetingId(uuid4()) + summary = Summary( + meeting_id=meeting_id, + executive_summary="Test summary", + generated_at=datetime.now(UTC), + model_version="test-v1", + ) + mock_uow.summaries.save = AsyncMock(return_value=summary) + + service = MeetingService(mock_uow) + result = await service.save_summary( + meeting_id=meeting_id, + executive_summary="Test summary", + model_version="test-v1", + ) + + assert result.executive_summary == "Test summary" + mock_uow.summaries.save.assert_called_once() + mock_uow.commit.assert_called_once() + + async def test_get_summary_found(self, mock_uow: MagicMock) -> None: + """Test retrieving existing summary.""" + meeting_id = MeetingId(uuid4()) + summary = Summary(meeting_id=meeting_id, executive_summary="Found") + mock_uow.summaries.get_by_meeting = AsyncMock(return_value=summary) + + service = MeetingService(mock_uow) + result = await service.get_summary(meeting_id) + + assert result is not None + assert result.executive_summary == "Found" + + async def test_get_summary_not_found(self, mock_uow: MagicMock) -> None: + """Test retrieving non-existent summary.""" + meeting_id = MeetingId(uuid4()) + mock_uow.summaries.get_by_meeting = AsyncMock(return_value=None) + + service = MeetingService(mock_uow) + result = await service.get_summary(meeting_id) + + assert result is None + + +class TestMeetingServiceSearch: + """Tests for semantic search operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.segments = MagicMock() + return uow + + async def test_search_segments_delegates(self, mock_uow: MagicMock) -> None: + """Test search_segments delegates to repository.""" + meeting_id = MeetingId(uuid4()) + segment = Segment(segment_id=0, text="A", start_time=0.0, end_time=1.0) + mock_uow.segments.search_semantic = AsyncMock(return_value=[(segment, 0.9)]) + + service = MeetingService(mock_uow) + result = await service.search_segments(query_embedding=[0.1], meeting_id=meeting_id) + + assert len(result) == 1 + mock_uow.segments.search_semantic.assert_called_once_with( + query_embedding=[0.1], limit=10, meeting_id=meeting_id + ) + + +class TestMeetingServiceAnnotations: + """Tests for annotation operations.""" + + @pytest.fixture + def mock_uow(self) -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.annotations = MagicMock() + return uow + + async def test_add_annotation_success(self, mock_uow: MagicMock) -> None: + """Test adding an annotation commits and returns saved entity.""" + meeting_id = MeetingId(uuid4()) + mock_uow.annotations.add = AsyncMock() + + service = MeetingService(mock_uow) + await service.add_annotation( + meeting_id=meeting_id, + annotation_type=AnnotationType.NOTE, + text="Note", + start_time=0.0, + end_time=1.0, + ) + + mock_uow.annotations.add.assert_called_once() + mock_uow.commit.assert_called_once() + + async def test_get_annotations_in_range(self, mock_uow: MagicMock) -> None: + """Test get_annotations_in_range delegates to repository.""" + meeting_id = MeetingId(uuid4()) + mock_uow.annotations.get_by_time_range = AsyncMock(return_value=[]) + + service = MeetingService(mock_uow) + await service.get_annotations_in_range(meeting_id, start_time=1.0, end_time=2.0) + + mock_uow.annotations.get_by_time_range.assert_called_once_with(meeting_id, 1.0, 2.0) + + async def test_update_annotation_not_found_raises(self, mock_uow: MagicMock) -> None: + """Test update_annotation propagates repository errors.""" + meeting_id = MeetingId(uuid4()) + annotation = Annotation( + id=AnnotationId(uuid4()), + meeting_id=meeting_id, + annotation_type=AnnotationType.NOTE, + text="Note", + start_time=0.0, + end_time=1.0, + ) + mock_uow.annotations.update = AsyncMock(side_effect=ValueError("Annotation not found")) + + service = MeetingService(mock_uow) + with pytest.raises(ValueError, match="Annotation not found"): + await service.update_annotation(annotation) + + mock_uow.commit.assert_not_called() + + async def test_delete_annotation_not_found(self, mock_uow: MagicMock) -> None: + """Test delete_annotation returns False when missing.""" + annotation_id = AnnotationId(uuid4()) + mock_uow.annotations.delete = AsyncMock(return_value=False) + + service = MeetingService(mock_uow) + result = await service.delete_annotation(annotation_id) + + assert result is False + mock_uow.commit.assert_not_called() diff --git a/tests/application/test_recovery_service.py b/tests/application/test_recovery_service.py new file mode 100644 index 0000000..035b985 --- /dev/null +++ b/tests/application/test_recovery_service.py @@ -0,0 +1,158 @@ +"""Tests for RecoveryService application service.""" + +from __future__ import annotations + +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from noteflow.application.services.recovery_service import RecoveryService +from noteflow.domain.entities import Meeting +from noteflow.domain.value_objects import MeetingState + + +@pytest.fixture +def mock_uow() -> MagicMock: + """Create a mock UnitOfWork.""" + uow = MagicMock() + uow.__aenter__ = AsyncMock(return_value=uow) + uow.__aexit__ = AsyncMock(return_value=None) + uow.commit = AsyncMock() + uow.meetings = MagicMock() + return uow + + +class TestRecoveryServiceRecovery: + """Tests for crash recovery operations.""" + + async def test_recover_no_crashed_meetings(self, mock_uow: MagicMock) -> None: + """Test recovery with no crashed meetings.""" + mock_uow.meetings.list_all = AsyncMock(return_value=([], 0)) + + service = RecoveryService(mock_uow) + result = await service.recover_crashed_meetings() + + assert result == [] + mock_uow.commit.assert_not_called() + + async def test_recover_single_recording_meeting(self, mock_uow: MagicMock) -> None: + """Test recovery of a meeting left in RECORDING state.""" + meeting = Meeting.create(title="Crashed Recording") + meeting.start_recording() # Put in RECORDING state + assert meeting.state == MeetingState.RECORDING + + mock_uow.meetings.list_all = AsyncMock(return_value=([meeting], 1)) + mock_uow.meetings.update = AsyncMock(return_value=meeting) + + service = RecoveryService(mock_uow) + result = await service.recover_crashed_meetings() + + assert len(result) == 1 + assert result[0].state == MeetingState.ERROR + assert result[0].metadata["crash_recovered"] == "true" + assert result[0].metadata["crash_previous_state"] == "RECORDING" + assert "crash_recovery_time" in result[0].metadata + mock_uow.meetings.update.assert_called_once() + mock_uow.commit.assert_called_once() + + async def test_recover_single_stopping_meeting(self, mock_uow: MagicMock) -> None: + """Test recovery of a meeting left in STOPPING state.""" + meeting = Meeting.create(title="Crashed Stopping") + meeting.start_recording() + meeting.begin_stopping() # Put in STOPPING state + assert meeting.state == MeetingState.STOPPING + + mock_uow.meetings.list_all = AsyncMock(return_value=([meeting], 1)) + mock_uow.meetings.update = AsyncMock(return_value=meeting) + + service = RecoveryService(mock_uow) + result = await service.recover_crashed_meetings() + + assert len(result) == 1 + assert result[0].state == MeetingState.ERROR + assert result[0].metadata["crash_previous_state"] == "STOPPING" + mock_uow.commit.assert_called_once() + + async def test_recover_multiple_crashed_meetings(self, mock_uow: MagicMock) -> None: + """Test recovery of multiple crashed meetings.""" + meeting1 = Meeting.create(title="Crashed 1") + meeting1.start_recording() + + meeting2 = Meeting.create(title="Crashed 2") + meeting2.start_recording() + meeting2.begin_stopping() + + meeting3 = Meeting.create(title="Crashed 3") + meeting3.start_recording() + + meetings = [meeting1, meeting2, meeting3] + mock_uow.meetings.list_all = AsyncMock(return_value=(meetings, 3)) + mock_uow.meetings.update = AsyncMock(side_effect=meetings) + + service = RecoveryService(mock_uow) + result = await service.recover_crashed_meetings() + + assert len(result) == 3 + assert all(m.state == MeetingState.ERROR for m in result) + assert result[0].metadata["crash_previous_state"] == "RECORDING" + assert result[1].metadata["crash_previous_state"] == "STOPPING" + assert result[2].metadata["crash_previous_state"] == "RECORDING" + assert mock_uow.meetings.update.call_count == 3 + mock_uow.commit.assert_called_once() + + +class TestRecoveryServiceCounting: + """Tests for counting crashed meetings.""" + + async def test_count_no_crashed_meetings(self, mock_uow: MagicMock) -> None: + """Test counting with no crashed meetings.""" + mock_uow.meetings.count_by_state = AsyncMock(return_value=0) + + service = RecoveryService(mock_uow) + result = await service.count_crashed_meetings() + + assert result == 0 + assert mock_uow.meetings.count_by_state.call_count == 2 + + async def test_count_crashed_meetings_both_states(self, mock_uow: MagicMock) -> None: + """Test counting meetings in both active states.""" + + async def count_by_state(state: MeetingState) -> int: + state_counts = { + MeetingState.RECORDING: 3, + MeetingState.STOPPING: 2, + } + return state_counts.get(state, 0) + + mock_uow.meetings.count_by_state = AsyncMock(side_effect=count_by_state) + + service = RecoveryService(mock_uow) + result = await service.count_crashed_meetings() + + assert result == 5 # 3 RECORDING + 2 STOPPING + + +class TestRecoveryServiceMetadata: + """Tests for recovery metadata handling.""" + + async def test_recovery_preserves_existing_metadata(self, mock_uow: MagicMock) -> None: + """Test recovery preserves existing meeting metadata.""" + meeting = Meeting.create( + title="Has Metadata", + metadata={"project": "NoteFlow", "important": "yes"}, + ) + meeting.start_recording() + + mock_uow.meetings.list_all = AsyncMock(return_value=([meeting], 1)) + mock_uow.meetings.update = AsyncMock(return_value=meeting) + + service = RecoveryService(mock_uow) + result = await service.recover_crashed_meetings() + + assert len(result) == 1 + # Verify original metadata preserved + assert result[0].metadata["project"] == "NoteFlow" + assert result[0].metadata["important"] == "yes" + # Verify recovery metadata added + assert result[0].metadata["crash_recovered"] == "true" + assert result[0].metadata["crash_previous_state"] == "RECORDING" diff --git a/tests/domain/__init__.py b/tests/domain/__init__.py new file mode 100644 index 0000000..6745ad5 --- /dev/null +++ b/tests/domain/__init__.py @@ -0,0 +1 @@ +"""Domain unit tests.""" diff --git a/tests/domain/__pycache__/__init__.cpython-312.pyc b/tests/domain/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..17d3119 Binary files /dev/null and b/tests/domain/__pycache__/__init__.cpython-312.pyc differ diff --git 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TestAnnotation: + """Tests for Annotation entity.""" + + def test_annotation_valid(self) -> None: + """Annotation can be created with valid fields.""" + annotation = Annotation( + id=AnnotationId(uuid4()), + meeting_id=MeetingId(uuid4()), + annotation_type=AnnotationType.NOTE, + text="Important point", + start_time=1.0, + end_time=2.0, + ) + + assert annotation.text == "Important point" + assert annotation.duration == 1.0 + assert annotation.has_segments() is False + + def test_annotation_invalid_times_raises(self) -> None: + """Annotation raises when end_time < start_time.""" + with pytest.raises(ValueError, match=r"end_time .* must be >= start_time"): + Annotation( + id=AnnotationId(uuid4()), + meeting_id=MeetingId(uuid4()), + annotation_type=AnnotationType.DECISION, + text="Bad timing", + start_time=5.0, + end_time=2.0, + ) + + def test_annotation_has_segments(self) -> None: + """has_segments reflects segment_ids list.""" + annotation = Annotation( + id=AnnotationId(uuid4()), + meeting_id=MeetingId(uuid4()), + annotation_type=AnnotationType.ACTION_ITEM, + text="Follow up", + start_time=0.0, + end_time=1.0, + segment_ids=[1, 2], + ) + + assert annotation.has_segments() is True + assert annotation.duration == 1.0 diff --git a/tests/domain/test_meeting.py b/tests/domain/test_meeting.py new file mode 100644 index 0000000..815fcb0 --- /dev/null +++ b/tests/domain/test_meeting.py @@ -0,0 +1,240 @@ +"""Tests for Meeting entity.""" + +from __future__ import annotations + +from datetime import datetime +from datetime import timedelta + +import pytest + +from noteflow.domain.entities.meeting import Meeting +from noteflow.domain.entities.segment import Segment +from noteflow.domain.entities.summary import Summary +from noteflow.domain.value_objects import MeetingState + + +class TestMeetingCreation: + """Tests for Meeting creation methods.""" + + def test_create_with_default_title(self) -> None: + """Test factory method generates default title.""" + meeting = Meeting.create() + assert meeting.title.startswith("Meeting ") + assert meeting.state == MeetingState.CREATED + assert meeting.started_at is None + assert meeting.ended_at is None + assert meeting.segments == [] + assert meeting.summary is None + + def test_create_with_custom_title(self) -> None: + """Test factory method accepts custom title.""" + meeting = Meeting.create(title="Team Standup") + assert meeting.title == "Team Standup" + + def test_create_with_metadata(self) -> None: + """Test factory method accepts metadata.""" + metadata = {"project": "NoteFlow", "team": "Engineering"} + meeting = Meeting.create(title="Sprint Planning", metadata=metadata) + assert meeting.metadata == metadata + + def test_from_uuid_str(self) -> None: + """Test creation from existing UUID string.""" + uuid_str = "12345678-1234-5678-1234-567812345678" + meeting = Meeting.from_uuid_str( + uuid_str=uuid_str, + title="Restored Meeting", + state=MeetingState.STOPPED, + ) + assert str(meeting.id) == uuid_str + assert meeting.title == "Restored Meeting" + assert meeting.state == MeetingState.STOPPED + + +class TestMeetingStateTransitions: + """Tests for Meeting state machine transitions.""" + + def test_start_recording_from_created(self) -> None: + """Test starting recording from CREATED state.""" + meeting = Meeting.create() + meeting.start_recording() + assert meeting.state == MeetingState.RECORDING + assert meeting.started_at is not None + + def test_start_recording_invalid_state_raises(self) -> None: + """Test starting recording from invalid state raises.""" + meeting = Meeting.create() + meeting.start_recording() + meeting.begin_stopping() + meeting.stop_recording() + with pytest.raises(ValueError, match="Cannot start recording"): + meeting.start_recording() + + def test_begin_stopping_from_recording(self) -> None: + """Test transitioning to STOPPING from RECORDING state.""" + meeting = Meeting.create() + meeting.start_recording() + meeting.begin_stopping() + assert meeting.state == MeetingState.STOPPING + + def test_begin_stopping_invalid_state_raises(self) -> None: + """Test begin_stopping from invalid state raises.""" + meeting = Meeting.create() + with pytest.raises(ValueError, match="Cannot begin stopping"): + meeting.begin_stopping() + + def test_stop_recording_from_stopping(self) -> None: + """Test stopping recording from STOPPING state.""" + meeting = Meeting.create() + meeting.start_recording() + meeting.begin_stopping() + meeting.stop_recording() + assert meeting.state == MeetingState.STOPPED + assert meeting.ended_at is not None + + def test_stop_recording_from_recording_raises(self) -> None: + """Test stopping recording directly from RECORDING raises. + + Must go through STOPPING state for graceful shutdown. + """ + meeting = Meeting.create() + meeting.start_recording() + with pytest.raises(ValueError, match="Cannot stop recording"): + meeting.stop_recording() + + def test_stop_recording_from_created_raises(self) -> None: + """Test stopping recording from CREATED state raises.""" + meeting = Meeting.create() + with pytest.raises(ValueError, match="Cannot stop recording"): + meeting.stop_recording() + + def test_complete_from_stopped(self) -> None: + """Test completing meeting from STOPPED state.""" + meeting = Meeting.create() + meeting.start_recording() + meeting.begin_stopping() + meeting.stop_recording() + meeting.complete() + assert meeting.state == MeetingState.COMPLETED + + def test_complete_invalid_state_raises(self) -> None: + """Test completing from invalid state raises.""" + meeting = Meeting.create() + with pytest.raises(ValueError, match="Cannot complete"): + meeting.complete() + + def test_mark_error(self) -> None: + """Test marking meeting as error state.""" + meeting = Meeting.create() + meeting.mark_error() + assert meeting.state == MeetingState.ERROR + + def test_stopping_to_recording_invalid(self) -> None: + """Test cannot transition from STOPPING back to RECORDING.""" + meeting = Meeting.create() + meeting.start_recording() + meeting.begin_stopping() + with pytest.raises(ValueError, match="Cannot start recording"): + meeting.start_recording() + + +class TestMeetingSegments: + """Tests for Meeting segment management.""" + + def test_add_segment(self) -> None: + """Test adding a segment to meeting.""" + meeting = Meeting.create() + segment = Segment(segment_id=0, text="Hello world", start_time=0.0, end_time=1.0) + meeting.add_segment(segment) + assert meeting.segment_count == 1 + assert meeting.segments[0] == segment + + def test_next_segment_id_empty(self) -> None: + """Test next segment ID when no segments exist.""" + meeting = Meeting.create() + assert meeting.next_segment_id == 0 + + def test_next_segment_id_with_segments(self) -> None: + """Test next segment ID increments correctly.""" + meeting = Meeting.create() + meeting.add_segment(Segment(segment_id=0, text="First", start_time=0.0, end_time=1.0)) + meeting.add_segment(Segment(segment_id=1, text="Second", start_time=1.0, end_time=2.0)) + assert meeting.next_segment_id == 2 + + def test_next_segment_id_non_contiguous(self) -> None: + """Test next segment ID uses max + 1 for non-contiguous IDs.""" + meeting = Meeting.create() + meeting.add_segment(Segment(segment_id=0, text="First", start_time=0.0, end_time=1.0)) + meeting.add_segment(Segment(segment_id=5, text="Sixth", start_time=1.0, end_time=2.0)) + assert meeting.next_segment_id == 6 + + def test_full_transcript(self) -> None: + """Test concatenating all segment text.""" + meeting = Meeting.create() + meeting.add_segment(Segment(segment_id=0, text="Hello", start_time=0.0, end_time=1.0)) + meeting.add_segment(Segment(segment_id=1, text="world", start_time=1.0, end_time=2.0)) + assert meeting.full_transcript == "Hello world" + + def test_full_transcript_empty(self) -> None: + """Test full_transcript is empty when there are no segments.""" + meeting = Meeting.create() + assert meeting.full_transcript == "" + + +class TestMeetingProperties: + """Tests for Meeting computed properties.""" + + def test_duration_seconds_not_started(self) -> None: + """Test duration is 0 when not started.""" + meeting = Meeting.create() + assert meeting.duration_seconds == 0.0 + + def test_duration_seconds_with_times(self) -> None: + """Test duration calculation with start and end times.""" + meeting = Meeting.create() + meeting.started_at = datetime(2024, 1, 1, 10, 0, 0) + meeting.ended_at = datetime(2024, 1, 1, 10, 30, 0) + assert meeting.duration_seconds == 1800.0 + + def test_duration_seconds_in_progress(self) -> None: + """Test duration is > 0 when started but not ended.""" + meeting = Meeting.create() + meeting.started_at = datetime.now() - timedelta(seconds=5) + assert meeting.duration_seconds >= 5.0 + + def test_is_active_created(self) -> None: + """Test is_active returns True for CREATED state.""" + meeting = Meeting.create() + assert meeting.is_active() is True + + def test_is_active_recording(self) -> None: + """Test is_active returns True for RECORDING state.""" + meeting = Meeting.create() + meeting.start_recording() + assert meeting.is_active() is True + + def test_is_active_stopping(self) -> None: + """Test is_active returns False for STOPPING state.""" + meeting = Meeting.create() + meeting.start_recording() + meeting.begin_stopping() + assert meeting.is_active() is False + + def test_is_active_stopped(self) -> None: + """Test is_active returns False for STOPPED state.""" + meeting = Meeting.create() + meeting.start_recording() + meeting.begin_stopping() + meeting.stop_recording() + assert meeting.is_active() is False + + def test_has_summary_false(self) -> None: + """Test has_summary returns False when no summary.""" + meeting = Meeting.create() + assert meeting.has_summary() is False + + def test_has_summary_true(self) -> None: + """Test has_summary returns True when summary set.""" + meeting = Meeting.create() + summary = Summary(meeting_id=meeting.id) + meeting.set_summary(summary) + assert meeting.has_summary() is True diff --git a/tests/domain/test_segment.py b/tests/domain/test_segment.py new file mode 100644 index 0000000..85b47cf --- /dev/null +++ b/tests/domain/test_segment.py @@ -0,0 +1,111 @@ +"""Tests for Segment and WordTiming entities.""" + +from __future__ import annotations + +import pytest + +from noteflow.domain.entities.segment import Segment, WordTiming + + +class TestWordTiming: + """Tests for WordTiming entity.""" + + def test_word_timing_valid(self) -> None: + """Test creating valid WordTiming.""" + word = WordTiming(word="hello", start_time=0.0, end_time=0.5, probability=0.95) + assert word.word == "hello" + assert word.start_time == 0.0 + assert word.end_time == 0.5 + assert word.probability == 0.95 + + def test_word_timing_invalid_times_raises(self) -> None: + """Test WordTiming raises on end_time < start_time.""" + with pytest.raises(ValueError, match=r"end_time.*must be >= start_time"): + WordTiming(word="hello", start_time=1.0, end_time=0.5, probability=0.9) + + @pytest.mark.parametrize("prob", [-0.1, 1.1, 2.0]) + def test_word_timing_invalid_probability_raises(self, prob: float) -> None: + """Test WordTiming raises on invalid probability.""" + with pytest.raises(ValueError, match="probability must be between 0 and 1"): + WordTiming(word="hello", start_time=0.0, end_time=0.5, probability=prob) + + @pytest.mark.parametrize("prob", [0.0, 0.5, 1.0]) + def test_word_timing_valid_probability_bounds(self, prob: float) -> None: + """Test WordTiming accepts probability at boundaries.""" + word = WordTiming(word="test", start_time=0.0, end_time=0.5, probability=prob) + assert word.probability == prob + + +class TestSegment: + """Tests for Segment entity.""" + + def test_segment_valid(self) -> None: + """Test creating valid Segment.""" + segment = Segment( + segment_id=0, + text="Hello world", + start_time=0.0, + end_time=2.5, + language="en", + ) + assert segment.segment_id == 0 + assert segment.text == "Hello world" + assert segment.start_time == 0.0 + assert segment.end_time == 2.5 + assert segment.language == "en" + + def test_segment_invalid_times_raises(self) -> None: + """Test Segment raises on end_time < start_time.""" + with pytest.raises(ValueError, match=r"end_time.*must be >= start_time"): + Segment(segment_id=0, text="test", start_time=5.0, end_time=1.0) + + def test_segment_invalid_id_raises(self) -> None: + """Test Segment raises on negative segment_id.""" + with pytest.raises(ValueError, match="segment_id must be non-negative"): + Segment(segment_id=-1, text="test", start_time=0.0, end_time=1.0) + + def test_segment_duration(self) -> None: + """Test duration property calculation.""" + segment = Segment(segment_id=0, text="test", start_time=1.5, end_time=4.0) + assert segment.duration == 2.5 + + def test_segment_word_count_from_text(self) -> None: + """Test word_count from text when no words list.""" + segment = Segment(segment_id=0, text="Hello beautiful world", start_time=0.0, end_time=1.0) + assert segment.word_count == 3 + + def test_segment_word_count_from_words(self) -> None: + """Test word_count from words list when provided.""" + words = [ + WordTiming(word="Hello", start_time=0.0, end_time=0.3, probability=0.9), + WordTiming(word="world", start_time=0.3, end_time=0.5, probability=0.95), + ] + segment = Segment( + segment_id=0, + text="Hello world", + start_time=0.0, + end_time=0.5, + words=words, + ) + assert segment.word_count == 2 + + def test_segment_has_embedding_false(self) -> None: + """Test has_embedding returns False when no embedding.""" + segment = Segment(segment_id=0, text="test", start_time=0.0, end_time=1.0) + assert segment.has_embedding() is False + + def test_segment_has_embedding_empty_list(self) -> None: + """Test has_embedding returns False for empty embedding list.""" + segment = Segment(segment_id=0, text="test", start_time=0.0, end_time=1.0, embedding=[]) + assert segment.has_embedding() is False + + def test_segment_has_embedding_true(self) -> None: + """Test has_embedding returns True when embedding exists.""" + segment = Segment( + segment_id=0, + text="test", + start_time=0.0, + end_time=1.0, + embedding=[0.1, 0.2, 0.3], + ) + assert segment.has_embedding() is True diff --git a/tests/domain/test_summary.py b/tests/domain/test_summary.py new file mode 100644 index 0000000..269d847 --- /dev/null +++ b/tests/domain/test_summary.py @@ -0,0 +1,213 @@ +"""Tests for Summary, KeyPoint, and ActionItem entities.""" + +from __future__ import annotations + +from datetime import datetime +from uuid import uuid4 + +import pytest + +from noteflow.domain.entities.summary import ActionItem, KeyPoint, Summary +from noteflow.domain.value_objects import MeetingId + + +class TestKeyPoint: + """Tests for KeyPoint entity.""" + + def test_key_point_basic(self) -> None: + """Test creating basic KeyPoint.""" + kp = KeyPoint(text="Important discussion about architecture") + assert kp.text == "Important discussion about architecture" + assert kp.segment_ids == [] + assert kp.start_time == 0.0 + assert kp.end_time == 0.0 + + def test_key_point_has_evidence_false(self) -> None: + """Test has_evidence returns False when no segment_ids.""" + kp = KeyPoint(text="No evidence") + assert kp.has_evidence() is False + + def test_key_point_has_evidence_true(self) -> None: + """Test has_evidence returns True with segment_ids.""" + kp = KeyPoint(text="With evidence", segment_ids=[1, 2, 3]) + assert kp.has_evidence() is True + + def test_key_point_with_timing(self) -> None: + """Test KeyPoint with timing information.""" + kp = KeyPoint( + text="Timed point", + segment_ids=[0, 1], + start_time=10.5, + end_time=25.0, + ) + assert kp.start_time == 10.5 + assert kp.end_time == 25.0 + + +class TestActionItem: + """Tests for ActionItem entity.""" + + def test_action_item_basic(self) -> None: + """Test creating basic ActionItem.""" + ai = ActionItem(text="Review PR #123") + assert ai.text == "Review PR #123" + assert ai.assignee == "" + assert ai.due_date is None + assert ai.priority == 0 + assert ai.segment_ids == [] + + def test_action_item_has_evidence_false(self) -> None: + """Test has_evidence returns False when no segment_ids.""" + ai = ActionItem(text="Task without evidence") + assert ai.has_evidence() is False + + def test_action_item_has_evidence_true(self) -> None: + """Test has_evidence returns True with segment_ids.""" + ai = ActionItem(text="Task with evidence", segment_ids=[5]) + assert ai.has_evidence() is True + + def test_action_item_is_assigned_false(self) -> None: + """Test is_assigned returns False when no assignee.""" + ai = ActionItem(text="Unassigned task") + assert ai.is_assigned() is False + + def test_action_item_is_assigned_true(self) -> None: + """Test is_assigned returns True with assignee.""" + ai = ActionItem(text="Assigned task", assignee="Alice") + assert ai.is_assigned() is True + + def test_action_item_has_due_date_false(self) -> None: + """Test has_due_date returns False when no due_date.""" + ai = ActionItem(text="No deadline") + assert ai.has_due_date() is False + + def test_action_item_has_due_date_true(self) -> None: + """Test has_due_date returns True with due_date.""" + ai = ActionItem(text="With deadline", due_date=datetime(2024, 12, 31)) + assert ai.has_due_date() is True + + +class TestSummary: + """Tests for Summary entity.""" + + @pytest.fixture + def meeting_id(self) -> MeetingId: + """Provide a meeting ID for tests.""" + return MeetingId(uuid4()) + + def test_summary_basic(self, meeting_id: MeetingId) -> None: + """Test creating basic Summary.""" + summary = Summary(meeting_id=meeting_id) + assert summary.meeting_id == meeting_id + assert summary.executive_summary == "" + assert summary.key_points == [] + assert summary.action_items == [] + assert summary.generated_at is None + assert summary.model_version == "" + + def test_summary_key_point_count(self, meeting_id: MeetingId) -> None: + """Test key_point_count property.""" + summary = Summary( + meeting_id=meeting_id, + key_points=[ + KeyPoint(text="Point 1"), + KeyPoint(text="Point 2"), + KeyPoint(text="Point 3"), + ], + ) + assert summary.key_point_count == 3 + + def test_summary_action_item_count(self, meeting_id: MeetingId) -> None: + """Test action_item_count property.""" + summary = Summary( + meeting_id=meeting_id, + action_items=[ + ActionItem(text="Task 1"), + ActionItem(text="Task 2"), + ], + ) + assert summary.action_item_count == 2 + + def test_all_points_have_evidence_true(self, meeting_id: MeetingId) -> None: + """Test all_points_have_evidence returns True when all evidenced.""" + summary = Summary( + meeting_id=meeting_id, + key_points=[ + KeyPoint(text="Point 1", segment_ids=[0]), + KeyPoint(text="Point 2", segment_ids=[1, 2]), + ], + ) + assert summary.all_points_have_evidence() is True + + def test_all_points_have_evidence_false(self, meeting_id: MeetingId) -> None: + """Test all_points_have_evidence returns False when some unevidenced.""" + summary = Summary( + meeting_id=meeting_id, + key_points=[ + KeyPoint(text="Point 1", segment_ids=[0]), + KeyPoint(text="Point 2"), # No evidence + ], + ) + assert summary.all_points_have_evidence() is False + + def test_all_actions_have_evidence_true(self, meeting_id: MeetingId) -> None: + """Test all_actions_have_evidence returns True when all evidenced.""" + summary = Summary( + meeting_id=meeting_id, + action_items=[ + ActionItem(text="Task 1", segment_ids=[0]), + ], + ) + assert summary.all_actions_have_evidence() is True + + def test_all_actions_have_evidence_false(self, meeting_id: MeetingId) -> None: + """Test all_actions_have_evidence returns False when some unevidenced.""" + summary = Summary( + meeting_id=meeting_id, + action_items=[ + ActionItem(text="Task 1"), # No evidence + ], + ) + assert summary.all_actions_have_evidence() is False + + def test_is_fully_evidenced_true(self, meeting_id: MeetingId) -> None: + """Test is_fully_evidenced returns True when all items evidenced.""" + summary = Summary( + meeting_id=meeting_id, + key_points=[KeyPoint(text="KP", segment_ids=[0])], + action_items=[ActionItem(text="AI", segment_ids=[1])], + ) + assert summary.is_fully_evidenced() is True + + def test_is_fully_evidenced_false_points(self, meeting_id: MeetingId) -> None: + """Test is_fully_evidenced returns False with unevidenced points.""" + summary = Summary( + meeting_id=meeting_id, + key_points=[KeyPoint(text="KP")], # No evidence + action_items=[ActionItem(text="AI", segment_ids=[1])], + ) + assert summary.is_fully_evidenced() is False + + def test_unevidenced_points(self, meeting_id: MeetingId) -> None: + """Test unevidenced_points property filters correctly.""" + kp_no_evidence = KeyPoint(text="No evidence") + kp_with_evidence = KeyPoint(text="With evidence", segment_ids=[0]) + summary = Summary( + meeting_id=meeting_id, + key_points=[kp_no_evidence, kp_with_evidence], + ) + unevidenced = summary.unevidenced_points + assert len(unevidenced) == 1 + assert unevidenced[0] == kp_no_evidence + + def test_unevidenced_actions(self, meeting_id: MeetingId) -> None: + """Test unevidenced_actions property filters correctly.""" + ai_no_evidence = ActionItem(text="No evidence") + ai_with_evidence = ActionItem(text="With evidence", segment_ids=[0]) + summary = Summary( + meeting_id=meeting_id, + action_items=[ai_no_evidence, ai_with_evidence], + ) + unevidenced = summary.unevidenced_actions + assert len(unevidenced) == 1 + assert unevidenced[0] == ai_no_evidence diff --git a/tests/domain/test_value_objects.py b/tests/domain/test_value_objects.py new file mode 100644 index 0000000..d36a625 --- /dev/null +++ b/tests/domain/test_value_objects.py @@ -0,0 +1,91 @@ +"""Tests for domain value objects.""" + +from __future__ import annotations + +from uuid import UUID + +import pytest + +from noteflow.domain.value_objects import MeetingId, MeetingState + + +class TestMeetingState: + """Tests for MeetingState enum.""" + + @pytest.mark.parametrize( + ("current", "target", "expected"), + [ + # UNSPECIFIED transitions + (MeetingState.UNSPECIFIED, MeetingState.CREATED, True), + (MeetingState.UNSPECIFIED, MeetingState.RECORDING, False), + # CREATED transitions + (MeetingState.CREATED, MeetingState.RECORDING, True), + (MeetingState.CREATED, MeetingState.ERROR, True), + (MeetingState.CREATED, MeetingState.STOPPED, False), + # RECORDING transitions (must go through STOPPING) + (MeetingState.RECORDING, MeetingState.STOPPING, True), + (MeetingState.RECORDING, MeetingState.STOPPED, False), + (MeetingState.RECORDING, MeetingState.ERROR, True), + (MeetingState.RECORDING, MeetingState.CREATED, False), + # STOPPING transitions + (MeetingState.STOPPING, MeetingState.STOPPED, True), + (MeetingState.STOPPING, MeetingState.ERROR, True), + (MeetingState.STOPPING, MeetingState.RECORDING, False), + (MeetingState.STOPPING, MeetingState.CREATED, False), + # STOPPED transitions + (MeetingState.STOPPED, MeetingState.COMPLETED, True), + (MeetingState.STOPPED, MeetingState.ERROR, True), + (MeetingState.STOPPED, MeetingState.RECORDING, False), + # COMPLETED transitions + (MeetingState.COMPLETED, MeetingState.ERROR, True), + (MeetingState.COMPLETED, MeetingState.RECORDING, False), + # ERROR is terminal + (MeetingState.ERROR, MeetingState.CREATED, False), + (MeetingState.ERROR, MeetingState.RECORDING, False), + ], + ) + def test_can_transition_to( + self, + current: MeetingState, + target: MeetingState, + expected: bool, + ) -> None: + """Test state transition validation.""" + assert current.can_transition_to(target) == expected + + @pytest.mark.parametrize( + ("value", "expected"), + [ + (0, MeetingState.UNSPECIFIED), + (1, MeetingState.CREATED), + (2, MeetingState.RECORDING), + (3, MeetingState.STOPPED), + (4, MeetingState.COMPLETED), + (5, MeetingState.ERROR), + (6, MeetingState.STOPPING), + ], + ) + def test_from_int_valid(self, value: int, expected: MeetingState) -> None: + """Test conversion from valid integers.""" + assert MeetingState.from_int(value) == expected + + def test_from_int_invalid_raises(self) -> None: + """Test conversion from invalid integer raises ValueError.""" + with pytest.raises(ValueError, match="Invalid meeting state"): + MeetingState.from_int(99) + + +class TestMeetingId: + """Tests for MeetingId NewType.""" + + def test_meeting_id_is_uuid(self) -> None: + """Test MeetingId wraps UUID.""" + uuid = UUID("12345678-1234-5678-1234-567812345678") + meeting_id = MeetingId(uuid) + assert meeting_id == uuid + + def test_meeting_id_string_conversion(self) -> None: + """Test MeetingId can be converted to string.""" + uuid = UUID("12345678-1234-5678-1234-567812345678") + meeting_id = MeetingId(uuid) + assert str(meeting_id) == "12345678-1234-5678-1234-567812345678" diff --git a/tests/infrastructure/__init__.py b/tests/infrastructure/__init__.py new file mode 100644 index 0000000..20c2aeb --- /dev/null +++ b/tests/infrastructure/__init__.py @@ -0,0 +1 @@ +"""Infrastructure tests package.""" diff --git a/tests/infrastructure/__pycache__/__init__.cpython-312.pyc b/tests/infrastructure/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..7386e75 Binary files /dev/null and b/tests/infrastructure/__pycache__/__init__.cpython-312.pyc differ diff --git a/tests/infrastructure/__pycache__/test_converters.cpython-312-pytest-9.0.2.pyc b/tests/infrastructure/__pycache__/test_converters.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..e2dbcfc Binary files /dev/null and b/tests/infrastructure/__pycache__/test_converters.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/infrastructure/asr/__init__.py b/tests/infrastructure/asr/__init__.py new file mode 100644 index 0000000..c10e485 --- /dev/null +++ b/tests/infrastructure/asr/__init__.py @@ -0,0 +1 @@ +"""ASR infrastructure tests.""" diff --git a/tests/infrastructure/asr/__pycache__/__init__.cpython-312.pyc b/tests/infrastructure/asr/__pycache__/__init__.cpython-312.pyc new file mode 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WordTiming DTO.""" + + def test_word_timing_valid(self) -> None: + word = WordTiming(word="hello", start=0.0, end=0.5, probability=0.75) + assert word.word == "hello" + assert word.start == 0.0 + assert word.end == 0.5 + assert word.probability == 0.75 + + def test_word_timing_invalid_times_raises(self) -> None: + with pytest.raises(ValueError, match=r"Word end .* < start"): + WordTiming(word="bad", start=1.0, end=0.5, probability=0.5) + + @pytest.mark.parametrize("prob", [-0.1, 1.1]) + def test_word_timing_invalid_probability_raises(self, prob: float) -> None: + with pytest.raises(ValueError, match="Probability must be 0.0-1.0"): + WordTiming(word="bad", start=0.0, end=0.1, probability=prob) + + def test_word_timing_frozen(self) -> None: + word = WordTiming(word="hello", start=0.0, end=0.5, probability=0.9) + with pytest.raises(FrozenInstanceError): + word.word = "mutate" # type: ignore[misc] + + +class TestAsrResultDto: + """Tests for AsrResult DTO.""" + + def test_asr_result_duration(self) -> None: + result = AsrResult(text="hello", start=1.0, end=3.5) + assert result.duration == 2.5 + + def test_asr_result_invalid_times_raises(self) -> None: + with pytest.raises(ValueError, match=r"Segment end .* < start"): + AsrResult(text="bad", start=2.0, end=1.0) + + +class TestPartialUpdateDto: + """Tests for PartialUpdate DTO.""" + + def test_partial_update_invalid_times_raises(self) -> None: + with pytest.raises(ValueError, match=r"Partial end .* < start"): + PartialUpdate(text="partial", start=2.0, end=1.0) + + +class TestVadEventDto: + """Tests for VadEvent DTO.""" + + def test_vad_event_invalid_timestamp_raises(self) -> None: + with pytest.raises(ValueError, match="Timestamp must be non-negative"): + VadEvent(event_type=VadEventType.SPEECH_START, timestamp=-1.0) + + @pytest.mark.parametrize("confidence", [-0.1, 1.1]) + def test_vad_event_invalid_confidence_raises(self, confidence: float) -> None: + with pytest.raises(ValueError, match="Confidence must be 0.0-1.0"): + VadEvent(event_type=VadEventType.SPEECH_END, timestamp=0.5, confidence=confidence) diff --git a/tests/infrastructure/asr/test_engine.py b/tests/infrastructure/asr/test_engine.py new file mode 100644 index 0000000..c2915f8 --- /dev/null +++ b/tests/infrastructure/asr/test_engine.py @@ -0,0 +1,26 @@ +"""Tests for FasterWhisperEngine behavior without loading models.""" + +from __future__ import annotations + +import numpy as np +import pytest + +from noteflow.infrastructure.asr.engine import FasterWhisperEngine + + +class TestFasterWhisperEngine: + """Tests for FasterWhisperEngine.""" + + def test_transcribe_without_load_raises(self) -> None: + """Calling transcribe before load_model raises RuntimeError.""" + engine = FasterWhisperEngine() + audio = np.zeros(1600, dtype=np.float32) + with pytest.raises(RuntimeError, match="Model not loaded"): + list(engine.transcribe(audio)) + + def test_load_invalid_model_size_raises(self) -> None: + """Invalid model size raises ValueError when faster-whisper is available.""" + pytest.importorskip("faster_whisper") + engine = FasterWhisperEngine() + with pytest.raises(ValueError, match="Invalid model size"): + engine.load_model(model_size="not-a-model") diff --git a/tests/infrastructure/asr/test_segmenter.py b/tests/infrastructure/asr/test_segmenter.py new file mode 100644 index 0000000..8ea4fcf --- /dev/null +++ b/tests/infrastructure/asr/test_segmenter.py @@ -0,0 +1,279 @@ +"""Tests for Segmenter state machine.""" + +from __future__ import annotations + +import numpy as np +import pytest + +from noteflow.infrastructure.asr.segmenter import ( + AudioSegment, + Segmenter, + SegmenterConfig, + SegmenterState, +) + + +class TestSegmenterInitialization: + """Tests for Segmenter initialization.""" + + def test_default_config(self) -> None: + """Segmenter uses default config when not provided.""" + segmenter = Segmenter() + + assert segmenter.config.sample_rate == 16000 + assert segmenter.config.min_speech_duration == 0.3 + + def test_custom_config(self) -> None: + """Segmenter accepts custom configuration.""" + config = SegmenterConfig(sample_rate=44100, max_segment_duration=60.0) + segmenter = Segmenter(config=config) + + assert segmenter.config.sample_rate == 44100 + assert segmenter.config.max_segment_duration == 60.0 + + def test_initial_state_is_idle(self) -> None: + """Segmenter starts in IDLE state.""" + segmenter = Segmenter() + + assert segmenter.state == SegmenterState.IDLE + + +class TestSegmenterStateTransitions: + """Tests for Segmenter state machine transitions.""" + + @pytest.fixture + def segmenter(self) -> Segmenter: + """Create segmenter with test-friendly config.""" + return Segmenter( + config=SegmenterConfig( + sample_rate=16000, + trailing_silence=0.1, + leading_buffer=0.1, + min_speech_duration=0.1, + ) + ) + + @staticmethod + def make_audio(duration: float, sample_rate: int = 16000) -> np.ndarray: + """Create test audio of specified duration.""" + return np.zeros(int(duration * sample_rate), dtype=np.float32) + + def test_idle_to_speech_on_voice_detected(self, segmenter: Segmenter) -> None: + """Transition from IDLE to SPEECH when voice detected.""" + audio = self.make_audio(0.1) + + list(segmenter.process_audio(audio, is_speech=True)) + + assert segmenter.state == SegmenterState.SPEECH + + def test_idle_stays_idle_on_silence(self, segmenter: Segmenter) -> None: + """Stay in IDLE state when no speech detected.""" + audio = self.make_audio(0.1) + + list(segmenter.process_audio(audio, is_speech=False)) + + assert segmenter.state == SegmenterState.IDLE + + def test_speech_to_trailing_on_silence(self, segmenter: Segmenter) -> None: + """Transition from SPEECH to TRAILING when speech ends.""" + speech_audio = self.make_audio(0.1) + short_silence = self.make_audio(0.05) # Less than trailing_silence threshold + + list(segmenter.process_audio(speech_audio, is_speech=True)) + list(segmenter.process_audio(short_silence, is_speech=False)) + + assert segmenter.state == SegmenterState.TRAILING + + def test_trailing_to_idle_after_silence_threshold(self, segmenter: Segmenter) -> None: + """Transition from TRAILING to IDLE after enough silence.""" + audio = self.make_audio(0.1) + + list(segmenter.process_audio(audio, is_speech=True)) + list(segmenter.process_audio(audio, is_speech=False)) + list(segmenter.process_audio(audio, is_speech=False)) + + assert segmenter.state == SegmenterState.IDLE + + def test_trailing_to_speech_if_voice_resumes(self, segmenter: Segmenter) -> None: + """Transition from TRAILING back to SPEECH if voice resumes.""" + audio = self.make_audio(0.05) + + list(segmenter.process_audio(audio, is_speech=True)) + list(segmenter.process_audio(audio, is_speech=False)) + assert segmenter.state == SegmenterState.TRAILING + + list(segmenter.process_audio(audio, is_speech=True)) + + assert segmenter.state == SegmenterState.SPEECH + + +class TestSegmenterEmission: + """Tests for segment emission behavior.""" + + @pytest.fixture + def segmenter(self) -> Segmenter: + """Create segmenter with test-friendly config.""" + return Segmenter( + config=SegmenterConfig( + sample_rate=16000, + trailing_silence=0.1, + leading_buffer=0.1, + ) + ) + + @staticmethod + def make_audio(duration: float, sample_rate: int = 16000) -> np.ndarray: + """Create test audio of specified duration.""" + return np.ones(int(duration * sample_rate), dtype=np.float32) + + def test_emits_segment_after_trailing_silence(self, segmenter: Segmenter) -> None: + """Emit segment when trailing silence threshold is reached.""" + audio = self.make_audio(0.2) + + segments_speech = list(segmenter.process_audio(audio, is_speech=True)) + segments_silence = list(segmenter.process_audio(audio, is_speech=False)) + + assert not segments_speech + assert len(segments_silence) == 1 + assert isinstance(segments_silence[0], AudioSegment) + + def test_emitted_segment_has_correct_timing(self, segmenter: Segmenter) -> None: + """Emitted segment has correct start and end times.""" + audio = self.make_audio(0.2) + + list(segmenter.process_audio(audio, is_speech=True)) + segments = list(segmenter.process_audio(audio, is_speech=False)) + + segment = segments[0] + assert segment.start_time >= 0.0 + assert segment.end_time > segment.start_time + assert segment.duration > 0 + + def test_emitted_segment_contains_audio(self, segmenter: Segmenter) -> None: + """Emitted segment contains concatenated audio.""" + audio = self.make_audio(0.2) + + list(segmenter.process_audio(audio, is_speech=True)) + segments = list(segmenter.process_audio(audio, is_speech=False)) + + assert len(segments[0].audio) > 0 + + def test_emits_on_max_duration(self) -> None: + """Force emit segment when max duration is reached.""" + segmenter = Segmenter( + config=SegmenterConfig( + sample_rate=16000, + max_segment_duration=0.3, + ) + ) + audio = self.make_audio(0.2) + + segments_1 = list(segmenter.process_audio(audio, is_speech=True)) + segments_2 = list(segmenter.process_audio(audio, is_speech=True)) + + assert not segments_1 + assert len(segments_2) == 1 + + @pytest.mark.xfail(strict=True, reason="min_speech_duration not enforced yet") + def test_min_speech_duration_filters_short_segments(self) -> None: + """Segments shorter than min_speech_duration should be ignored.""" + segmenter = Segmenter( + config=SegmenterConfig( + sample_rate=16000, + min_speech_duration=0.5, + trailing_silence=0.1, + ) + ) + short_speech = self.make_audio(0.1) + silence = self.make_audio(0.1) + + list(segmenter.process_audio(short_speech, is_speech=True)) + emitted = list(segmenter.process_audio(silence, is_speech=False)) + + assert not emitted + + +class TestSegmenterFlush: + """Tests for flush behavior.""" + + @pytest.fixture + def segmenter(self) -> Segmenter: + """Create segmenter with test-friendly config.""" + return Segmenter( + config=SegmenterConfig( + sample_rate=16000, + trailing_silence=0.5, + ) + ) + + @staticmethod + def make_audio(duration: float, sample_rate: int = 16000) -> np.ndarray: + """Create test audio of specified duration.""" + return np.ones(int(duration * sample_rate), dtype=np.float32) + + def test_flush_returns_none_when_idle(self, segmenter: Segmenter) -> None: + """Flush returns None when no pending audio.""" + result = segmenter.flush() + + assert result is None + + def test_flush_returns_segment_when_in_speech(self, segmenter: Segmenter) -> None: + """Flush returns pending segment when in SPEECH state.""" + audio = self.make_audio(0.2) + list(segmenter.process_audio(audio, is_speech=True)) + + result = segmenter.flush() + + assert result is not None + assert isinstance(result, AudioSegment) + + def test_flush_returns_segment_when_in_trailing(self, segmenter: Segmenter) -> None: + """Flush returns pending segment when in TRAILING state.""" + audio = self.make_audio(0.1) + list(segmenter.process_audio(audio, is_speech=True)) + list(segmenter.process_audio(audio, is_speech=False)) + assert segmenter.state == SegmenterState.TRAILING + + result = segmenter.flush() + + assert result is not None + assert isinstance(result, AudioSegment) + + def test_flush_resets_to_idle(self, segmenter: Segmenter) -> None: + """Flush resets state to IDLE.""" + audio = self.make_audio(0.2) + list(segmenter.process_audio(audio, is_speech=True)) + + segmenter.flush() + + assert segmenter.state == SegmenterState.IDLE + + +class TestSegmenterReset: + """Tests for reset behavior.""" + + def test_reset_clears_state(self) -> None: + """Reset returns segmenter to initial state.""" + segmenter = Segmenter() + audio = np.ones(1600, dtype=np.float32) + + list(segmenter.process_audio(audio, is_speech=True)) + assert segmenter.state == SegmenterState.SPEECH + + segmenter.reset() + + assert segmenter.state == SegmenterState.IDLE + + +class TestAudioSegmentDataclass: + """Tests for AudioSegment dataclass.""" + + def test_duration_property(self) -> None: + """Duration property calculates correctly.""" + segment = AudioSegment( + audio=np.zeros(1600, dtype=np.float32), + start_time=1.0, + end_time=2.5, + ) + + assert segment.duration == 1.5 diff --git a/tests/infrastructure/asr/test_streaming_vad.py b/tests/infrastructure/asr/test_streaming_vad.py new file mode 100644 index 0000000..c5b67ba --- /dev/null +++ b/tests/infrastructure/asr/test_streaming_vad.py @@ -0,0 +1,193 @@ +"""Tests for StreamingVad and EnergyVad.""" + +from __future__ import annotations + +import numpy as np + +from noteflow.infrastructure.asr.streaming_vad import ( + EnergyVad, + EnergyVadConfig, + StreamingVad, +) + + +class TestEnergyVadBasics: + """Basic tests for EnergyVad.""" + + def test_default_config(self) -> None: + """EnergyVad uses default config when not provided.""" + vad = EnergyVad() + + assert vad.config.speech_threshold == 0.01 + assert vad.config.silence_threshold == 0.005 + + def test_custom_config(self) -> None: + """EnergyVad accepts custom configuration.""" + config = EnergyVadConfig(speech_threshold=0.02, min_speech_frames=5) + vad = EnergyVad(config=config) + + assert vad.config.speech_threshold == 0.02 + assert vad.config.min_speech_frames == 5 + + def test_initial_state_is_silence(self) -> None: + """EnergyVad starts in silence state.""" + vad = EnergyVad() + + assert vad._is_speech is False + + +class TestEnergyVadDetection: + """Tests for EnergyVad speech detection.""" + + def test_detects_silence_for_zeros(self) -> None: + """Silent audio detected as non-speech.""" + vad = EnergyVad() + audio = np.zeros(1600, dtype=np.float32) + + result = vad.process(audio) + + assert result is False + + def test_detects_speech_for_high_energy(self) -> None: + """High energy audio eventually detected as speech.""" + vad = EnergyVad(config=EnergyVadConfig(min_speech_frames=2)) + # Audio with energy above threshold + audio = np.ones(1600, dtype=np.float32) * 0.1 + + vad.process(audio) + result = vad.process(audio) + + assert result is True + + def test_speech_requires_consecutive_frames(self) -> None: + """Speech detection requires min_speech_frames consecutive frames.""" + vad = EnergyVad(config=EnergyVadConfig(min_speech_frames=3)) + audio = np.ones(1600, dtype=np.float32) * 0.1 + + assert vad.process(audio) is False + assert vad.process(audio) is False + assert vad.process(audio) is True + + def test_silence_after_speech_requires_frames(self) -> None: + """Transition to silence requires min_silence_frames.""" + config = EnergyVadConfig(min_speech_frames=1, min_silence_frames=2) + vad = EnergyVad(config=config) + speech = np.ones(1600, dtype=np.float32) * 0.1 + silence = np.zeros(1600, dtype=np.float32) + + vad.process(speech) + assert vad._is_speech is True + + vad.process(silence) + assert vad._is_speech is True + + vad.process(silence) + assert vad._is_speech is False + + def test_hysteresis_prevents_chatter(self) -> None: + """Hysteresis prevents rapid speech/silence toggling.""" + config = EnergyVadConfig( + speech_threshold=0.01, + silence_threshold=0.005, + min_speech_frames=1, + min_silence_frames=1, + ) + vad = EnergyVad(config=config) + + # Just above speech threshold -> speech + high = np.ones(1600, dtype=np.float32) * 0.015 + vad.process(high) + assert vad._is_speech is True + + # Between thresholds (below speech, above silence) -> stays speech + mid = np.ones(1600, dtype=np.float32) * 0.007 + vad.process(mid) + assert vad._is_speech is True + + # Below silence threshold -> silence + low = np.ones(1600, dtype=np.float32) * 0.003 + vad.process(low) + assert vad._is_speech is False + + +class TestEnergyVadReset: + """Tests for EnergyVad reset behavior.""" + + def test_reset_clears_state(self) -> None: + """Reset returns VAD to initial state.""" + vad = EnergyVad(config=EnergyVadConfig(min_speech_frames=1)) + audio = np.ones(1600, dtype=np.float32) * 0.1 + vad.process(audio) + + vad.reset() + + assert vad._is_speech is False + assert vad._speech_frame_count == 0 + assert vad._silence_frame_count == 0 + + +class TestEnergyVadRms: + """Tests for RMS computation.""" + + def test_rms_zeros(self) -> None: + """RMS of zeros is zero.""" + audio = np.zeros(100, dtype=np.float32) + + result = EnergyVad._compute_rms(audio) + + assert result == 0.0 + + def test_rms_ones(self) -> None: + """RMS of all ones is one.""" + audio = np.ones(100, dtype=np.float32) + + result = EnergyVad._compute_rms(audio) + + assert result == 1.0 + + def test_rms_empty(self) -> None: + """RMS of empty array is zero.""" + audio = np.array([], dtype=np.float32) + + result = EnergyVad._compute_rms(audio) + + assert result == 0.0 + + def test_rms_sine_wave(self) -> None: + """RMS of sine wave is ~0.707.""" + t = np.linspace(0, 2 * np.pi, 1000, dtype=np.float32) + audio = np.sin(t).astype(np.float32) + + result = EnergyVad._compute_rms(audio) + + assert 0.7 < result < 0.72 + + +class TestStreamingVad: + """Tests for StreamingVad wrapper.""" + + def test_default_engine_is_energy_vad(self) -> None: + """StreamingVad uses EnergyVad by default.""" + vad = StreamingVad() + + assert isinstance(vad.engine, EnergyVad) + + def test_process_chunk_delegates_to_engine(self) -> None: + """process_chunk delegates to underlying engine.""" + vad = StreamingVad() + silence = np.zeros(1600, dtype=np.float32) + + result = vad.process_chunk(silence) + + assert result is False + + def test_reset_delegates_to_engine(self) -> None: + """reset delegates to underlying engine.""" + vad = StreamingVad() + speech = np.ones(1600, dtype=np.float32) * 0.1 + + vad.process_chunk(speech) + vad.process_chunk(speech) + vad.reset() + + assert vad.engine._is_speech is False diff --git a/tests/infrastructure/audio/__init__.py b/tests/infrastructure/audio/__init__.py new file mode 100644 index 0000000..90cc1f4 --- /dev/null +++ b/tests/infrastructure/audio/__init__.py @@ -0,0 +1 @@ +"""Audio infrastructure tests package.""" diff --git a/tests/infrastructure/audio/__pycache__/__init__.cpython-312.pyc 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a/tests/infrastructure/audio/__pycache__/test_writer.cpython-312-pytest-9.0.2.pyc b/tests/infrastructure/audio/__pycache__/test_writer.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..e1859d6 Binary files /dev/null and b/tests/infrastructure/audio/__pycache__/test_writer.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/infrastructure/audio/conftest.py b/tests/infrastructure/audio/conftest.py new file mode 100644 index 0000000..24619bb --- /dev/null +++ b/tests/infrastructure/audio/conftest.py @@ -0,0 +1,50 @@ +"""Test fixtures for audio infrastructure tests.""" + +from __future__ import annotations + +import numpy as np +import pytest +from numpy.typing import NDArray + +from noteflow.infrastructure.audio import TimestampedAudio + + +@pytest.fixture +def silence_audio() -> NDArray[np.float32]: + """Return silent audio (all zeros).""" + return np.zeros(1600, dtype=np.float32) # 100ms at 16kHz + + +@pytest.fixture +def full_scale_audio() -> NDArray[np.float32]: + """Return full-scale audio (all ones).""" + return np.ones(1600, dtype=np.float32) + + +@pytest.fixture +def half_scale_audio() -> NDArray[np.float32]: + """Return half-scale audio (all 0.5).""" + return np.full(1600, 0.5, dtype=np.float32) + + +@pytest.fixture +def sample_timestamped_audio() -> TimestampedAudio: + """Return sample timestamped audio chunk.""" + return TimestampedAudio( + frames=np.zeros(1600, dtype=np.float32), + timestamp=0.0, + duration=0.1, + ) + + +@pytest.fixture +def timestamped_audio_sequence() -> list[TimestampedAudio]: + """Return sequence of timestamped audio chunks for buffer tests.""" + return [ + TimestampedAudio( + frames=np.zeros(1600, dtype=np.float32), + timestamp=float(i) * 0.1, + duration=0.1, + ) + for i in range(10) + ] diff --git a/tests/infrastructure/audio/test_capture.py b/tests/infrastructure/audio/test_capture.py new file mode 100644 index 0000000..d2a3aa1 --- /dev/null +++ b/tests/infrastructure/audio/test_capture.py @@ -0,0 +1,107 @@ +"""Tests for SoundDeviceCapture.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING + +import pytest + +from noteflow.infrastructure.audio import SoundDeviceCapture + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + + +class TestSoundDeviceCapture: + """Tests for SoundDeviceCapture class.""" + + @pytest.fixture + def capture(self) -> SoundDeviceCapture: + """Create SoundDeviceCapture instance.""" + return SoundDeviceCapture() + + def test_init_defaults(self, capture: SoundDeviceCapture) -> None: + """Test capture initializes with correct defaults.""" + assert capture.sample_rate == 16000 + assert capture.channels == 1 + assert capture.current_device_id is None + + def test_is_capturing_initially_false(self, capture: SoundDeviceCapture) -> None: + """Test is_capturing returns False when not started.""" + assert capture.is_capturing() is False + + def test_list_devices_returns_list(self, capture: SoundDeviceCapture) -> None: + """Test list_devices returns a list (may be empty in CI).""" + devices = capture.list_devices() + assert isinstance(devices, list) + + def test_get_default_device_returns_device_or_none(self, capture: SoundDeviceCapture) -> None: + """Test get_default_device returns device info or None.""" + device = capture.get_default_device() + # May be None in CI environments without audio + if device is not None: + assert device.device_id >= 0 + assert isinstance(device.name, str) + assert device.channels > 0 + + def test_stop_when_not_capturing_is_safe(self, capture: SoundDeviceCapture) -> None: + """Test stop() is safe to call when not capturing.""" + # Should not raise + capture.stop() + assert capture.is_capturing() is False + + def test_start_when_already_capturing_raises(self, capture: SoundDeviceCapture) -> None: + """Test start() raises if already capturing. + + Note: This test may be skipped in CI without audio devices. + """ + devices = capture.list_devices() + if not devices: + pytest.skip("No audio devices available") + + def dummy_callback(frames: NDArray[np.float32], timestamp: float) -> None: + pass + + try: + capture.start( + device_id=None, + on_frames=dummy_callback, + sample_rate=16000, + channels=1, + ) + + # Second start should raise + with pytest.raises(RuntimeError, match="Already capturing"): + capture.start( + device_id=None, + on_frames=dummy_callback, + ) + finally: + capture.stop() + + def test_properties_after_start(self, capture: SoundDeviceCapture) -> None: + """Test properties reflect configured values after start. + + Note: This test may be skipped in CI without audio devices. + """ + devices = capture.list_devices() + if not devices: + pytest.skip("No audio devices available") + + def dummy_callback(frames: NDArray[np.float32], timestamp: float) -> None: + pass + + try: + capture.start( + device_id=None, + on_frames=dummy_callback, + sample_rate=44100, + channels=1, + ) + + assert capture.sample_rate == 44100 + assert capture.channels == 1 + assert capture.is_capturing() is True + finally: + capture.stop() diff --git a/tests/infrastructure/audio/test_dto.py b/tests/infrastructure/audio/test_dto.py new file mode 100644 index 0000000..8e00fba --- /dev/null +++ b/tests/infrastructure/audio/test_dto.py @@ -0,0 +1,98 @@ +"""Tests for audio DTOs.""" + +from __future__ import annotations + +from dataclasses import FrozenInstanceError + +import numpy as np +import pytest + +from noteflow.infrastructure.audio import AudioDeviceInfo, TimestampedAudio + + +class TestAudioDeviceInfo: + """Tests for AudioDeviceInfo dataclass.""" + + def test_audio_device_info_creation(self) -> None: + """Test AudioDeviceInfo can be created with all fields.""" + device = AudioDeviceInfo( + device_id=0, + name="Test Microphone", + channels=2, + sample_rate=48000, + is_default=True, + ) + assert device.device_id == 0 + assert device.name == "Test Microphone" + assert device.channels == 2 + assert device.sample_rate == 48000 + assert device.is_default is True + + def test_audio_device_info_frozen(self) -> None: + """Test AudioDeviceInfo is immutable (frozen).""" + device = AudioDeviceInfo( + device_id=0, + name="Test", + channels=1, + sample_rate=16000, + is_default=False, + ) + with pytest.raises(FrozenInstanceError): + # Intentionally assign to frozen field to verify immutability + device.name = "Modified" # type: ignore[misc] + + +class TestTimestampedAudio: + """Tests for TimestampedAudio dataclass.""" + + def test_timestamped_audio_creation(self) -> None: + """Test TimestampedAudio can be created with valid values.""" + frames = np.zeros(1600, dtype=np.float32) + audio = TimestampedAudio( + frames=frames, + timestamp=1.0, + duration=0.1, + ) + assert len(audio.frames) == 1600 + assert audio.timestamp == 1.0 + assert audio.duration == 0.1 + + def test_timestamped_audio_negative_duration_raises(self) -> None: + """Test TimestampedAudio raises on negative duration.""" + frames = np.zeros(1600, dtype=np.float32) + with pytest.raises(ValueError, match="Duration must be non-negative"): + TimestampedAudio( + frames=frames, + timestamp=0.0, + duration=-0.1, + ) + + def test_timestamped_audio_negative_timestamp_raises(self) -> None: + """Test TimestampedAudio raises on negative timestamp.""" + frames = np.zeros(1600, dtype=np.float32) + with pytest.raises(ValueError, match="Timestamp must be non-negative"): + TimestampedAudio( + frames=frames, + timestamp=-1.0, + duration=0.1, + ) + + def test_timestamped_audio_zero_duration_valid(self) -> None: + """Test TimestampedAudio accepts zero duration.""" + frames = np.zeros(0, dtype=np.float32) + audio = TimestampedAudio( + frames=frames, + timestamp=0.0, + duration=0.0, + ) + assert audio.duration == 0.0 + + def test_timestamped_audio_zero_timestamp_valid(self) -> None: + """Test TimestampedAudio accepts zero timestamp.""" + frames = np.zeros(1600, dtype=np.float32) + audio = TimestampedAudio( + frames=frames, + timestamp=0.0, + duration=0.1, + ) + assert audio.timestamp == 0.0 diff --git a/tests/infrastructure/audio/test_levels.py b/tests/infrastructure/audio/test_levels.py new file mode 100644 index 0000000..c2c6ad1 --- /dev/null +++ b/tests/infrastructure/audio/test_levels.py @@ -0,0 +1,96 @@ +"""Tests for RmsLevelProvider.""" + +from __future__ import annotations + +import math +from typing import TYPE_CHECKING + +import numpy as np +import pytest + +from noteflow.infrastructure.audio import RmsLevelProvider + +if TYPE_CHECKING: + from numpy.typing import NDArray + + +class TestRmsLevelProvider: + """Tests for RmsLevelProvider class.""" + + @pytest.fixture + def provider(self) -> RmsLevelProvider: + """Create RmsLevelProvider instance.""" + return RmsLevelProvider() + + def test_get_rms_empty_array_returns_zero(self, provider: RmsLevelProvider) -> None: + """Test RMS of empty array is zero.""" + frames = np.array([], dtype=np.float32) + assert provider.get_rms(frames) == 0.0 + + def test_get_rms_silence_returns_zero( + self, provider: RmsLevelProvider, silence_audio: NDArray[np.float32] + ) -> None: + """Test RMS of silence is zero.""" + assert provider.get_rms(silence_audio) == 0.0 + + def test_get_rms_full_scale_returns_one( + self, provider: RmsLevelProvider, full_scale_audio: NDArray[np.float32] + ) -> None: + """Test RMS of full scale signal is one.""" + assert provider.get_rms(full_scale_audio) == 1.0 + + def test_get_rms_half_scale_returns_half( + self, provider: RmsLevelProvider, half_scale_audio: NDArray[np.float32] + ) -> None: + """Test RMS of half scale signal is 0.5.""" + assert provider.get_rms(half_scale_audio) == 0.5 + + def test_get_rms_normalized_range(self, provider: RmsLevelProvider) -> None: + """Test RMS is always in 0.0-1.0 range.""" + # Test with values > 1.0 (should clamp) + frames = np.full(100, 2.0, dtype=np.float32) + rms = provider.get_rms(frames) + assert 0.0 <= rms <= 1.0 + + def test_get_db_silence_returns_min_db( + self, provider: RmsLevelProvider, silence_audio: NDArray[np.float32] + ) -> None: + """Test dB of silence returns MIN_DB.""" + assert provider.get_db(silence_audio) == provider.MIN_DB + + def test_get_db_full_scale_returns_zero( + self, provider: RmsLevelProvider, full_scale_audio: NDArray[np.float32] + ) -> None: + """Test dB of full scale signal is 0 dB.""" + assert provider.get_db(full_scale_audio) == 0.0 + + def test_get_db_half_scale_is_negative_six( + self, provider: RmsLevelProvider, half_scale_audio: NDArray[np.float32] + ) -> None: + """Test dB of half scale is approximately -6 dB.""" + db = provider.get_db(half_scale_audio) + # -6.02 dB for half amplitude + assert -7.0 < db < -5.0 + + def test_rms_to_db_zero_returns_min_db(self, provider: RmsLevelProvider) -> None: + """Test rms_to_db(0) returns MIN_DB.""" + assert provider.rms_to_db(0.0) == provider.MIN_DB + + def test_rms_to_db_one_returns_zero(self, provider: RmsLevelProvider) -> None: + """Test rms_to_db(1.0) returns 0 dB.""" + assert provider.rms_to_db(1.0) == 0.0 + + def test_db_to_rms_min_db_returns_zero(self, provider: RmsLevelProvider) -> None: + """Test db_to_rms(MIN_DB) returns 0.""" + assert provider.db_to_rms(provider.MIN_DB) == 0.0 + + def test_db_to_rms_zero_returns_one(self, provider: RmsLevelProvider) -> None: + """Test db_to_rms(0) returns 1.0.""" + assert provider.db_to_rms(0.0) == 1.0 + + @pytest.mark.parametrize("rms", [0.1, 0.25, 0.5, 0.75, 1.0]) + def test_rms_db_roundtrip(self, provider: RmsLevelProvider, rms: float) -> None: + """Test RMS -> dB -> RMS roundtrip preserves value.""" + db = provider.rms_to_db(rms) + recovered = provider.db_to_rms(db) + assert math.isclose(recovered, rms, rel_tol=1e-9) diff --git a/tests/infrastructure/audio/test_ring_buffer.py b/tests/infrastructure/audio/test_ring_buffer.py new file mode 100644 index 0000000..ccde903 --- /dev/null +++ b/tests/infrastructure/audio/test_ring_buffer.py @@ -0,0 +1,190 @@ +"""Tests for TimestampedRingBuffer.""" + +from __future__ import annotations + +import numpy as np +import pytest + +from noteflow.infrastructure.audio import TimestampedAudio, TimestampedRingBuffer + + +class TestTimestampedRingBuffer: + """Tests for TimestampedRingBuffer class.""" + + def test_init_with_valid_duration(self) -> None: + """Test buffer initialization with valid max_duration.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + assert buffer.max_duration == 10.0 + assert buffer.duration == 0.0 + assert buffer.chunk_count == 0 + + def test_init_with_default_duration(self) -> None: + """Test buffer uses default max_duration of 30 seconds.""" + buffer = TimestampedRingBuffer() + assert buffer.max_duration == 30.0 + + def test_init_with_invalid_duration_raises(self) -> None: + """Test buffer raises on non-positive max_duration.""" + with pytest.raises(ValueError, match="max_duration must be positive"): + TimestampedRingBuffer(max_duration=0.0) + + with pytest.raises(ValueError, match="max_duration must be positive"): + TimestampedRingBuffer(max_duration=-1.0) + + def test_push_single_chunk(self, sample_timestamped_audio: TimestampedAudio) -> None: + """Test pushing single audio chunk.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + buffer.push(sample_timestamped_audio) + + assert buffer.chunk_count == 1 + assert buffer.duration == sample_timestamped_audio.duration + + def test_push_multiple_chunks(self, timestamped_audio_sequence: list[TimestampedAudio]) -> None: + """Test pushing multiple audio chunks.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + for audio in timestamped_audio_sequence: + buffer.push(audio) + + assert buffer.chunk_count == 10 + assert buffer.duration == pytest.approx(1.0, rel=1e-9) # 10 chunks * 0.1s + + def test_push_evicts_old_at_capacity(self) -> None: + """Test old chunks are evicted when buffer exceeds max_duration.""" + buffer = TimestampedRingBuffer(max_duration=0.5) # 500ms max + + # Push 10 chunks of 0.1s each (1.0s total) + for i in range(10): + audio = TimestampedAudio( + frames=np.zeros(1600, dtype=np.float32), + timestamp=float(i) * 0.1, + duration=0.1, + ) + buffer.push(audio) + + # Should only keep ~5 chunks (0.5s worth) + assert buffer.duration <= 0.5 + assert buffer.chunk_count <= 6 # May keep one extra during eviction + + def test_get_window_returns_requested_duration( + self, timestamped_audio_sequence: list[TimestampedAudio] + ) -> None: + """Test get_window returns chunks for requested duration.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + for audio in timestamped_audio_sequence: + buffer.push(audio) + + # Request 0.3 seconds (should get ~3 chunks) + window = buffer.get_window(0.3) + total_duration = sum(a.duration for a in window) + + assert total_duration >= 0.3 + assert len(window) >= 3 + + def test_get_window_empty_returns_empty(self) -> None: + """Test get_window on empty buffer returns empty list.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + window = buffer.get_window(1.0) + + assert window == [] + + def test_get_window_negative_returns_empty( + self, sample_timestamped_audio: TimestampedAudio + ) -> None: + """Test get_window with negative duration returns empty list.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + buffer.push(sample_timestamped_audio) + + window = buffer.get_window(-1.0) + assert window == [] + + def test_get_window_zero_returns_empty( + self, sample_timestamped_audio: TimestampedAudio + ) -> None: + """Test get_window with zero duration returns empty list.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + buffer.push(sample_timestamped_audio) + + window = buffer.get_window(0.0) + assert window == [] + + def test_get_window_exceeds_buffer_returns_all( + self, timestamped_audio_sequence: list[TimestampedAudio] + ) -> None: + """Test get_window with duration > buffer returns all chunks.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + for audio in timestamped_audio_sequence: + buffer.push(audio) + + window = buffer.get_window(100.0) # Request more than available + assert len(window) == 10 + + def test_get_window_chronological_order( + self, timestamped_audio_sequence: list[TimestampedAudio] + ) -> None: + """Test get_window returns chunks in chronological order.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + for audio in timestamped_audio_sequence: + buffer.push(audio) + + window = buffer.get_window(1.0) + + # Verify timestamps are increasing + for i in range(1, len(window)): + assert window[i].timestamp >= window[i - 1].timestamp + + def test_get_all_returns_all_chunks( + self, timestamped_audio_sequence: list[TimestampedAudio] + ) -> None: + """Test get_all returns all buffered chunks.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + for audio in timestamped_audio_sequence: + buffer.push(audio) + + all_chunks = buffer.get_all() + assert len(all_chunks) == 10 + + def test_clear_removes_all(self, timestamped_audio_sequence: list[TimestampedAudio]) -> None: + """Test clear removes all chunks and resets duration.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + for audio in timestamped_audio_sequence: + buffer.push(audio) + + buffer.clear() + + assert buffer.chunk_count == 0 + assert buffer.duration == 0.0 + assert len(buffer) == 0 + + def test_duration_property(self, timestamped_audio_sequence: list[TimestampedAudio]) -> None: + """Test duration property tracks total buffered duration.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + + assert buffer.duration == 0.0 + + for i, audio in enumerate(timestamped_audio_sequence): + buffer.push(audio) + expected = (i + 1) * 0.1 + assert buffer.duration == pytest.approx(expected, rel=1e-9) + + def test_chunk_count_property(self, timestamped_audio_sequence: list[TimestampedAudio]) -> None: + """Test chunk_count property tracks number of chunks.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + + for i, audio in enumerate(timestamped_audio_sequence): + buffer.push(audio) + assert buffer.chunk_count == i + 1 + + def test_max_duration_property(self) -> None: + """Test max_duration property returns configured value.""" + buffer = TimestampedRingBuffer(max_duration=15.0) + assert buffer.max_duration == 15.0 + + def test_len_returns_chunk_count( + self, timestamped_audio_sequence: list[TimestampedAudio] + ) -> None: + """Test __len__ returns chunk count.""" + buffer = TimestampedRingBuffer(max_duration=10.0) + for audio in timestamped_audio_sequence: + buffer.push(audio) + + assert len(buffer) == buffer.chunk_count diff --git a/tests/infrastructure/audio/test_writer.py b/tests/infrastructure/audio/test_writer.py new file mode 100644 index 0000000..e18d214 --- /dev/null +++ b/tests/infrastructure/audio/test_writer.py @@ -0,0 +1,334 @@ +"""Tests for MeetingAudioWriter.""" + +from __future__ import annotations + +import json +from pathlib import Path +from uuid import uuid4 + +import numpy as np +import pytest + +from noteflow.infrastructure.audio.writer import MeetingAudioWriter +from noteflow.infrastructure.security.crypto import AesGcmCryptoBox, ChunkedAssetReader +from noteflow.infrastructure.security.keystore import InMemoryKeyStore + + +@pytest.fixture +def crypto() -> AesGcmCryptoBox: + """Create crypto instance with in-memory keystore.""" + keystore = InMemoryKeyStore() + return AesGcmCryptoBox(keystore) + + +@pytest.fixture +def meetings_dir(tmp_path: Path) -> Path: + """Create temporary meetings directory.""" + return tmp_path / "meetings" + + +class TestMeetingAudioWriterBasics: + """Tests for MeetingAudioWriter basic operations.""" + + def test_writer_creates_meeting_directory( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test writer creates meeting directory structure.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + meeting_id = str(uuid4()) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(meeting_id, dek, wrapped_dek) + + meeting_dir = meetings_dir / meeting_id + assert meeting_dir.exists() + assert (meeting_dir / "manifest.json").exists() + assert (meeting_dir / "audio.enc").exists() + + writer.close() + + def test_manifest_contains_correct_metadata( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test manifest.json has required fields.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + meeting_id = str(uuid4()) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(meeting_id, dek, wrapped_dek, sample_rate=16000) + writer.close() + + manifest_path = meetings_dir / meeting_id / "manifest.json" + manifest = json.loads(manifest_path.read_text()) + + assert manifest["meeting_id"] == meeting_id + assert manifest["sample_rate"] == 16000 + assert manifest["channels"] == 1 + assert manifest["format"] == "pcm16" + assert "wrapped_dek" in manifest + assert "created_at" in manifest + + def test_write_chunk_converts_float32_to_pcm16( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test audio conversion from float32 to PCM16.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + meeting_id = str(uuid4()) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(meeting_id, dek, wrapped_dek) + + # Create test audio: 1600 samples = 0.1 seconds at 16kHz + test_audio = np.linspace(-1.0, 1.0, 1600, dtype=np.float32) + writer.write_chunk(test_audio) + + assert writer.bytes_written > 0 + # PCM16 = 2 bytes/sample = 3200 bytes raw, but encrypted with overhead + assert writer.bytes_written > 3200 + assert writer.chunk_count == 1 + + writer.close() + + def test_multiple_chunks_written( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test writing multiple audio chunks.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + meeting_id = str(uuid4()) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(meeting_id, dek, wrapped_dek) + + # Write 100 chunks + for _ in range(100): + audio = np.random.uniform(-0.5, 0.5, 1600).astype(np.float32) + writer.write_chunk(audio) + + # Should have written significant data + assert writer.bytes_written > 100 * 3200 # At least raw PCM16 size + assert writer.chunk_count == 100 + + writer.close() + + def test_write_chunk_clamps_audio_range( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test audio values outside [-1, 1] are clamped before encoding.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + meeting_id = str(uuid4()) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(meeting_id, dek, wrapped_dek) + writer.write_chunk(np.array([-2.0, 0.0, 2.0], dtype=np.float32)) + writer.close() + + audio_path = meetings_dir / meeting_id / "audio.enc" + reader = ChunkedAssetReader(crypto) + reader.open(audio_path, dek) + + chunk_bytes = next(reader.read_chunks()) + pcm16 = np.frombuffer(chunk_bytes, dtype=np.int16) + audio_float = pcm16.astype(np.float32) / 32767.0 + + assert audio_float.min() >= -1.0 + assert audio_float.max() <= 1.0 + + reader.close() + + +class TestMeetingAudioWriterErrors: + """Tests for MeetingAudioWriter error handling.""" + + def test_writer_raises_if_already_open( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test writer raises RuntimeError if opened twice.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(str(uuid4()), dek, wrapped_dek) + + with pytest.raises(RuntimeError, match="already open"): + writer.open(str(uuid4()), dek, wrapped_dek) + + writer.close() + + def test_writer_raises_if_write_when_not_open( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test writer raises RuntimeError if write called before open.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + audio = np.zeros(1600, dtype=np.float32) + + with pytest.raises(RuntimeError, match="not open"): + writer.write_chunk(audio) + + def test_close_is_idempotent( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test close can be called multiple times safely.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(str(uuid4()), dek, wrapped_dek) + writer.close() + writer.close() # Should not raise + writer.close() # Should not raise + + +class TestMeetingAudioWriterProperties: + """Tests for MeetingAudioWriter properties.""" + + def test_is_open_property( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test is_open property reflects writer state.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + assert writer.is_open is False + + writer.open(str(uuid4()), dek, wrapped_dek) + assert writer.is_open is True + + writer.close() + assert writer.is_open is False + + def test_meeting_dir_property( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test meeting_dir property returns correct path.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + meeting_id = str(uuid4()) + + assert writer.meeting_dir is None + + writer.open(meeting_id, dek, wrapped_dek) + assert writer.meeting_dir == meetings_dir / meeting_id + + writer.close() + assert writer.meeting_dir is None + + def test_bytes_written_when_closed( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test bytes_written returns 0 when not open.""" + writer = MeetingAudioWriter(crypto, meetings_dir) + assert writer.bytes_written == 0 + + +class TestMeetingAudioWriterIntegration: + """Integration tests for audio roundtrip.""" + + def test_audio_roundtrip_encryption_decryption( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test writing audio, then reading it back encrypted.""" + # Write audio + writer = MeetingAudioWriter(crypto, meetings_dir) + meeting_id = str(uuid4()) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(meeting_id, dek, wrapped_dek) + + # Write 10 chunks of known audio + original_chunks: list[np.ndarray] = [] + for i in range(10): + audio = np.sin(2 * np.pi * 440 * np.linspace(i, i + 0.1, 1600)).astype(np.float32) + original_chunks.append(audio) + writer.write_chunk(audio) + + writer.close() + + # Read audio back + audio_path = meetings_dir / meeting_id / "audio.enc" + assert audio_path.exists() + + reader = ChunkedAssetReader(crypto) + reader.open(audio_path, dek) + + read_chunks: list[np.ndarray] = [] + for chunk_bytes in reader.read_chunks(): + # Convert bytes back to PCM16 then to float32 + pcm16 = np.frombuffer(chunk_bytes, dtype=np.int16) + audio_float = pcm16.astype(np.float32) / 32767.0 + read_chunks.append(audio_float) + + reader.close() + + # Verify we read same number of chunks + assert len(read_chunks) == len(original_chunks) + + # Verify audio content matches (within quantization error) + for orig, read in zip(original_chunks, read_chunks, strict=True): + # PCM16 quantization adds ~0.00003 max error + assert np.allclose(orig, read, atol=0.0001) + + def test_manifest_wrapped_dek_can_decrypt_audio( + self, + crypto: AesGcmCryptoBox, + meetings_dir: Path, + ) -> None: + """Test that wrapped_dek from manifest can decrypt audio file.""" + # Write audio + writer = MeetingAudioWriter(crypto, meetings_dir) + meeting_id = str(uuid4()) + dek = crypto.generate_dek() + wrapped_dek = crypto.wrap_dek(dek) + + writer.open(meeting_id, dek, wrapped_dek) + writer.write_chunk(np.zeros(1600, dtype=np.float32)) + writer.close() + + # Read manifest + manifest_path = meetings_dir / meeting_id / "manifest.json" + manifest = json.loads(manifest_path.read_text()) + wrapped_dek_hex = manifest["wrapped_dek"] + + # Unwrap DEK from manifest + unwrapped_dek = crypto.unwrap_dek(bytes.fromhex(wrapped_dek_hex)) + + # Use unwrapped DEK to read audio + audio_path = meetings_dir / meeting_id / "audio.enc" + reader = ChunkedAssetReader(crypto) + reader.open(audio_path, unwrapped_dek) + + chunks = list(reader.read_chunks()) + assert len(chunks) == 1 # Should read the one chunk we wrote + + reader.close() diff --git a/tests/infrastructure/export/__pycache__/test_formatting.cpython-312-pytest-9.0.2.pyc b/tests/infrastructure/export/__pycache__/test_formatting.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..662e21c Binary files /dev/null and b/tests/infrastructure/export/__pycache__/test_formatting.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/infrastructure/export/__pycache__/test_html.cpython-312-pytest-9.0.2.pyc b/tests/infrastructure/export/__pycache__/test_html.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..c6e61b9 Binary files /dev/null and b/tests/infrastructure/export/__pycache__/test_html.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/infrastructure/export/__pycache__/test_markdown.cpython-312-pytest-9.0.2.pyc b/tests/infrastructure/export/__pycache__/test_markdown.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..ef19ae3 Binary files /dev/null and b/tests/infrastructure/export/__pycache__/test_markdown.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/infrastructure/export/test_formatting.py b/tests/infrastructure/export/test_formatting.py new file mode 100644 index 0000000..e5bcda4 --- /dev/null +++ b/tests/infrastructure/export/test_formatting.py @@ -0,0 +1,32 @@ +"""Tests for export formatting helpers.""" + +from __future__ import annotations + +from datetime import datetime + +from noteflow.infrastructure.export._formatting import format_datetime, format_timestamp + + +class TestFormatTimestamp: + """Tests for format_timestamp.""" + + def test_format_timestamp_under_hour(self) -> None: + assert format_timestamp(0) == "0:00" + assert format_timestamp(59) == "0:59" + assert format_timestamp(60) == "1:00" + assert format_timestamp(125) == "2:05" + + def test_format_timestamp_over_hour(self) -> None: + assert format_timestamp(3600) == "1:00:00" + assert format_timestamp(3661) == "1:01:01" + + +class TestFormatDatetime: + """Tests for format_datetime.""" + + def test_format_datetime_none(self) -> None: + assert format_datetime(None) == "" + + def test_format_datetime_value(self) -> None: + dt = datetime(2024, 1, 1, 12, 30, 15) + assert format_datetime(dt) == "2024-01-01 12:30:15" diff --git a/tests/infrastructure/export/test_html.py b/tests/infrastructure/export/test_html.py new file mode 100644 index 0000000..952c42f --- /dev/null +++ b/tests/infrastructure/export/test_html.py @@ -0,0 +1,32 @@ +"""Tests for HTML exporter.""" + +from __future__ import annotations + +from noteflow.domain.entities import ActionItem, KeyPoint, Meeting, Segment, Summary +from noteflow.infrastructure.export.html import HtmlExporter + + +class TestHtmlExporter: + """Tests for HtmlExporter output.""" + + def test_export_escapes_html(self) -> None: + meeting = Meeting.create(title="") + segments = [ + Segment(segment_id=0, text="Hello ", start_time=0.0, end_time=1.0), + ] + summary = Summary( + meeting_id=meeting.id, + executive_summary="Summary with bold", + key_points=[KeyPoint(text="Key ")], + action_items=[ActionItem(text="Do ", assignee="bob<")], + ) + meeting.summary = summary + + exporter = HtmlExporter() + output = exporter.export(meeting, segments) + + assert "<Weekly & Sync>" in output + assert "Hello <team>" in output + assert "Summary with <b>bold</b>" in output + assert "Key <point>" in output + assert "@bob<" in output diff --git a/tests/infrastructure/export/test_markdown.py b/tests/infrastructure/export/test_markdown.py new file mode 100644 index 0000000..9322fb1 --- /dev/null +++ b/tests/infrastructure/export/test_markdown.py @@ -0,0 +1,44 @@ +"""Tests for Markdown exporter.""" + +from __future__ import annotations + +from datetime import datetime + +from noteflow.domain.entities import ActionItem, KeyPoint, Meeting, Segment, Summary +from noteflow.infrastructure.export.markdown import MarkdownExporter + + +class TestMarkdownExporter: + """Tests for MarkdownExporter output.""" + + def test_export_includes_sections(self) -> None: + meeting = Meeting.create(title="Weekly Sync") + meeting.started_at = datetime(2024, 1, 1, 9, 0, 0) + meeting.ended_at = datetime(2024, 1, 1, 9, 30, 0) + + segments = [ + Segment(segment_id=0, text="Hello team", start_time=0.0, end_time=1.0), + Segment(segment_id=1, text="Next steps", start_time=1.0, end_time=2.0), + ] + + summary = Summary( + meeting_id=meeting.id, + executive_summary="Great meeting.", + key_points=[KeyPoint(text="KP1")], + action_items=[ActionItem(text="Do thing", assignee="alice")], + ) + meeting.summary = summary + + exporter = MarkdownExporter() + output = exporter.export(meeting, segments) + + assert "# Weekly Sync" in output + assert "## Meeting Info" in output + assert "## Transcript" in output + assert "**[0:00]** Hello team" in output + assert "## Summary" in output + assert "### Key Points" in output + assert "- KP1" in output + assert "### Action Items" in output + assert "- [ ] Do thing (@alice)" in output + assert "Exported from NoteFlow" in output diff --git a/tests/infrastructure/security/__pycache__/test_crypto.cpython-312-pytest-9.0.2.pyc b/tests/infrastructure/security/__pycache__/test_crypto.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..1321d39 Binary files /dev/null and b/tests/infrastructure/security/__pycache__/test_crypto.cpython-312-pytest-9.0.2.pyc differ diff --git a/tests/infrastructure/security/test_crypto.py b/tests/infrastructure/security/test_crypto.py new file mode 100644 index 0000000..1466b47 --- /dev/null +++ b/tests/infrastructure/security/test_crypto.py @@ -0,0 +1,87 @@ +"""Tests for crypto error paths and asset reader behavior.""" + +from __future__ import annotations + +import struct +from pathlib import Path + +import pytest + +from noteflow.infrastructure.security.crypto import ( + FILE_MAGIC, + FILE_VERSION, + AesGcmCryptoBox, + ChunkedAssetReader, + ChunkedAssetWriter, +) +from noteflow.infrastructure.security.keystore import InMemoryKeyStore + + +@pytest.fixture +def crypto() -> AesGcmCryptoBox: + """Crypto box with in-memory key store.""" + return AesGcmCryptoBox(InMemoryKeyStore()) + + +class TestAesGcmCryptoBox: + """Tests for AesGcmCryptoBox edge cases.""" + + def test_unwrap_dek_too_short_raises(self, crypto: AesGcmCryptoBox) -> None: + """unwrap_dek rejects payloads shorter than nonce+ciphertext+tag.""" + with pytest.raises(ValueError, match="Invalid wrapped DEK"): + crypto.unwrap_dek(b"short") + + +class TestChunkedAssetReader: + """Tests for ChunkedAssetReader validation.""" + + def test_open_invalid_magic_raises(self, crypto: AesGcmCryptoBox, tmp_path: Path) -> None: + """Reader rejects files with invalid magic.""" + path = tmp_path / "bad_magic.enc" + path.write_bytes(b"BAD!" + bytes([FILE_VERSION])) + + reader = ChunkedAssetReader(crypto) + with pytest.raises(ValueError, match="Invalid file format"): + reader.open(path, crypto.generate_dek()) + + def test_open_invalid_version_raises(self, crypto: AesGcmCryptoBox, tmp_path: Path) -> None: + """Reader rejects unsupported file versions.""" + path = tmp_path / "bad_version.enc" + path.write_bytes(FILE_MAGIC + bytes([FILE_VERSION + 1])) + + reader = ChunkedAssetReader(crypto) + with pytest.raises(ValueError, match="Unsupported file version"): + reader.open(path, crypto.generate_dek()) + + def test_read_truncated_chunk_raises(self, crypto: AesGcmCryptoBox, tmp_path: Path) -> None: + """Reader errors on truncated chunk data.""" + path = tmp_path / "truncated.enc" + with path.open("wb") as handle: + handle.write(FILE_MAGIC) + handle.write(struct.pack("B", FILE_VERSION)) + handle.write(struct.pack(">I", 10)) # claim 10 bytes + handle.write(b"12345") # only 5 bytes provided + + reader = ChunkedAssetReader(crypto) + reader.open(path, crypto.generate_dek()) + with pytest.raises(ValueError, match="Truncated chunk"): + list(reader.read_chunks()) + + reader.close() + + def test_read_with_wrong_dek_raises(self, crypto: AesGcmCryptoBox, tmp_path: Path) -> None: + """Decrypting with the wrong key fails.""" + path = tmp_path / "wrong_key.enc" + dek = crypto.generate_dek() + other_dek = crypto.generate_dek() + + writer = ChunkedAssetWriter(crypto) + writer.open(path, dek) + writer.write_chunk(b"hello") + writer.close() + + reader = ChunkedAssetReader(crypto) + reader.open(path, other_dek) + with pytest.raises(ValueError, match="Chunk decryption failed"): + list(reader.read_chunks()) + reader.close() diff --git a/tests/infrastructure/test_converters.py b/tests/infrastructure/test_converters.py new file mode 100644 index 0000000..99c7d45 --- /dev/null +++ b/tests/infrastructure/test_converters.py @@ -0,0 +1,110 @@ +"""Tests for infrastructure converters.""" + +from __future__ import annotations + +from noteflow.domain import entities +from noteflow.infrastructure.asr import dto +from noteflow.infrastructure.converters import AsrConverter, OrmConverter + + +class TestAsrConverter: + """Tests for AsrConverter.""" + + def test_word_timing_to_domain_maps_field_names(self) -> None: + """Test ASR start/end maps to domain start_time/end_time.""" + asr_word = dto.WordTiming(word="hello", start=1.5, end=2.0, probability=0.95) + + result = AsrConverter.word_timing_to_domain(asr_word) + + assert result.word == "hello" + assert result.start_time == 1.5 + assert result.end_time == 2.0 + assert result.probability == 0.95 + + def test_word_timing_to_domain_preserves_precision(self) -> None: + """Test timing values preserve floating point precision.""" + asr_word = dto.WordTiming( + word="test", + start=0.123456789, + end=0.987654321, + probability=0.999999, + ) + + result = AsrConverter.word_timing_to_domain(asr_word) + + assert result.start_time == 0.123456789 + assert result.end_time == 0.987654321 + assert result.probability == 0.999999 + + def test_word_timing_to_domain_returns_domain_type(self) -> None: + """Test converter returns domain WordTiming type.""" + asr_word = dto.WordTiming(word="test", start=1.0, end=2.0, probability=0.9) + + result = AsrConverter.word_timing_to_domain(asr_word) + + assert isinstance(result, entities.WordTiming) + + def test_result_to_domain_words_converts_all(self) -> None: + """Test batch conversion of ASR result words.""" + asr_result = dto.AsrResult( + text="hello world", + start=0.0, + end=2.0, + words=( + dto.WordTiming(word="hello", start=0.0, end=1.0, probability=0.9), + dto.WordTiming(word="world", start=1.0, end=2.0, probability=0.95), + ), + ) + + words = AsrConverter.result_to_domain_words(asr_result) + + assert len(words) == 2 + assert words[0].word == "hello" + assert words[0].start_time == 0.0 + assert words[1].word == "world" + assert words[1].start_time == 1.0 + + def test_result_to_domain_words_empty(self) -> None: + """Test conversion with empty words tuple.""" + asr_result = dto.AsrResult(text="", start=0.0, end=0.0, words=()) + + words = AsrConverter.result_to_domain_words(asr_result) + + assert words == [] + + +class TestOrmConverterToOrmKwargs: + """Tests for OrmConverter.word_timing_to_orm_kwargs.""" + + def test_converts_to_dict(self) -> None: + """Test domain to ORM kwargs conversion.""" + word = entities.WordTiming( + word="test", + start_time=1.5, + end_time=2.0, + probability=0.9, + ) + + result = OrmConverter.word_timing_to_orm_kwargs(word) + + assert result == { + "word": "test", + "start_time": 1.5, + "end_time": 2.0, + "probability": 0.9, + } + + def test_preserves_precision(self) -> None: + """Test floating point precision in kwargs.""" + word = entities.WordTiming( + word="precise", + start_time=0.123456789, + end_time=0.987654321, + probability=0.111111, + ) + + result = OrmConverter.word_timing_to_orm_kwargs(word) + + assert result["start_time"] == 0.123456789 + assert result["end_time"] == 0.987654321 + assert result["probability"] == 0.111111 diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 0000000..54bab34 --- /dev/null +++ b/tests/integration/__init__.py @@ -0,0 +1 @@ +"""Integration tests using testcontainers.""" diff --git a/tests/integration/__pycache__/__init__.cpython-312.pyc b/tests/integration/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..810ba64 Binary files /dev/null and b/tests/integration/__pycache__/__init__.cpython-312.pyc differ diff --git a/tests/integration/__pycache__/conftest.cpython-312-pytest-9.0.2.pyc b/tests/integration/__pycache__/conftest.cpython-312-pytest-9.0.2.pyc new file mode 100644 index 0000000..eac9363 Binary files /dev/null and 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+from collections.abc import AsyncGenerator + +import pytest +from sqlalchemy import text +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine +from testcontainers.postgres import PostgresContainer + +from noteflow.infrastructure.persistence.models import Base + +# Store container reference at module level to reuse +_container: PostgresContainer | None = None +_database_url: str | None = None + + +def get_or_create_container() -> tuple[PostgresContainer, str]: + """Get or create the PostgreSQL container.""" + global _container, _database_url + + if _container is None: + _container = PostgresContainer( + image="pgvector/pgvector:pg16", + username="test", + password="test", + dbname="noteflow_test", + ) + _container.start() + url = _container.get_connection_url() + _database_url = url.replace("postgresql+psycopg2://", "postgresql+asyncpg://") + + return _container, _database_url # type: ignore[return-value] + + +@pytest.fixture +async def session_factory() -> AsyncGenerator[async_sessionmaker[AsyncSession], None]: + """Create a session factory and initialize the database schema.""" + _, database_url = get_or_create_container() + + engine = create_async_engine(database_url, echo=False) + + async with engine.begin() as conn: + # Create pgvector extension and schema + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector")) + await conn.execute(text("DROP SCHEMA IF EXISTS noteflow CASCADE")) + await conn.execute(text("CREATE SCHEMA noteflow")) + # Create all tables + await conn.run_sync(Base.metadata.create_all) + + yield async_sessionmaker( + engine, + class_=AsyncSession, + expire_on_commit=False, + autocommit=False, + autoflush=False, + ) + # Cleanup - drop schema to reset for next test + async with engine.begin() as conn: + await conn.execute(text("DROP SCHEMA IF EXISTS noteflow CASCADE")) + + await engine.dispose() + + +@pytest.fixture +async def session( + session_factory: async_sessionmaker[AsyncSession], +) -> AsyncGenerator[AsyncSession, None]: + """Provide a database session for each test.""" + async with session_factory() as session: + yield session + # Rollback any uncommitted changes + await session.rollback() + + +def pytest_sessionfinish(session: pytest.Session, exitstatus: int) -> None: + """Cleanup container after all tests complete.""" + global _container + if _container is not None: + _container.stop() + _container = None diff --git a/tests/integration/test_repositories.py b/tests/integration/test_repositories.py new file mode 100644 index 0000000..19ec25b --- /dev/null +++ b/tests/integration/test_repositories.py @@ -0,0 +1,564 @@ +"""Integration tests for SQLAlchemy repositories.""" + +from __future__ import annotations + +from datetime import UTC, datetime +from uuid import uuid4 +from typing import TYPE_CHECKING + +import pytest + +from noteflow.domain.entities import Annotation, Meeting, Segment, Summary, WordTiming +from noteflow.domain.entities.summary import ActionItem, KeyPoint +from noteflow.domain.value_objects import AnnotationId, AnnotationType, MeetingId, MeetingState +from noteflow.infrastructure.persistence.repositories import ( + SqlAlchemyAnnotationRepository, + SqlAlchemyMeetingRepository, + SqlAlchemySegmentRepository, + SqlAlchemySummaryRepository, +) + +if TYPE_CHECKING: + from sqlalchemy.ext.asyncio import AsyncSession + + +@pytest.mark.integration +class TestMeetingRepository: + """Integration tests for SqlAlchemyMeetingRepository.""" + + async def test_create_and_get_meeting(self, session: AsyncSession) -> None: + """Test creating and retrieving a meeting.""" + repo = SqlAlchemyMeetingRepository(session) + meeting = Meeting.create(title="Test Meeting", metadata={"key": "value"}) + + # Create + await repo.create(meeting) + await session.commit() + + # Get + retrieved = await repo.get(meeting.id) + + assert retrieved is not None + assert retrieved.id == meeting.id + assert retrieved.title == "Test Meeting" + assert retrieved.state == MeetingState.CREATED + assert retrieved.metadata == {"key": "value"} + + async def test_get_meeting_not_found(self, session: AsyncSession) -> None: + """Test retrieving non-existent meeting returns None.""" + repo = SqlAlchemyMeetingRepository(session) + meeting_id = MeetingId(Meeting.create().id) + + result = await repo.get(meeting_id) + + assert result is None + + async def test_update_meeting(self, session: AsyncSession) -> None: + """Test updating a meeting.""" + repo = SqlAlchemyMeetingRepository(session) + meeting = Meeting.create(title="Original") + await repo.create(meeting) + await session.commit() + + # Update state and title + meeting.start_recording() + await repo.update(meeting) + await session.commit() + + # Verify + retrieved = await repo.get(meeting.id) + assert retrieved is not None + assert retrieved.state == MeetingState.RECORDING + assert retrieved.started_at is not None + + async def test_delete_meeting(self, session: AsyncSession) -> None: + """Test deleting a meeting.""" + repo = SqlAlchemyMeetingRepository(session) + meeting = Meeting.create(title="To Delete") + await repo.create(meeting) + await session.commit() + + # Delete + result = await repo.delete(meeting.id) + await session.commit() + + assert result is True + + # Verify deleted + retrieved = await repo.get(meeting.id) + assert retrieved is None + + async def test_delete_meeting_not_found(self, session: AsyncSession) -> None: + """Test deleting non-existent meeting returns False.""" + repo = SqlAlchemyMeetingRepository(session) + meeting_id = MeetingId(Meeting.create().id) + + result = await repo.delete(meeting_id) + + assert result is False + + async def test_list_all_meetings(self, session: AsyncSession) -> None: + """Test listing all meetings with pagination.""" + repo = SqlAlchemyMeetingRepository(session) + + # Create multiple meetings + meetings = [Meeting.create(title=f"Meeting {i}") for i in range(5)] + for m in meetings: + await repo.create(m) + await session.commit() + + # List with pagination + result, total = await repo.list_all(limit=3, offset=0) + + assert len(result) == 3 + assert total == 5 + + async def test_list_meetings_filter_by_state(self, session: AsyncSession) -> None: + """Test filtering meetings by state.""" + repo = SqlAlchemyMeetingRepository(session) + + # Create meetings in different states + created = Meeting.create(title="Created") + await repo.create(created) + + recording = Meeting.create(title="Recording") + recording.start_recording() + await repo.create(recording) + await session.commit() + + # Filter by RECORDING state + result, _ = await repo.list_all(states=[MeetingState.RECORDING]) + + assert len(result) == 1 + assert result[0].title == "Recording" + + async def test_count_by_state(self, session: AsyncSession) -> None: + """Test counting meetings by state.""" + repo = SqlAlchemyMeetingRepository(session) + + # Create meetings + for _ in range(3): + await repo.create(Meeting.create()) + await session.commit() + + count = await repo.count_by_state(MeetingState.CREATED) + + assert count == 3 + + +@pytest.mark.integration +class TestSegmentRepository: + """Integration tests for SqlAlchemySegmentRepository.""" + + async def test_add_and_get_segments(self, session: AsyncSession) -> None: + """Test adding and retrieving segments.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + segment_repo = SqlAlchemySegmentRepository(session) + + # Create meeting first + meeting = Meeting.create(title="Test") + await meeting_repo.create(meeting) + await session.commit() + + # Add segments + segment = Segment( + segment_id=0, + text="Hello world", + start_time=0.0, + end_time=2.5, + meeting_id=meeting.id, + language="en", + ) + await segment_repo.add(meeting.id, segment) + await session.commit() + + # Get segments + result = await segment_repo.get_by_meeting(meeting.id) + + assert len(result) == 1 + assert result[0].text == "Hello world" + assert result[0].db_id is not None + + async def test_add_segment_with_words(self, session: AsyncSession) -> None: + """Test adding segment with word-level timing.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + segment_repo = SqlAlchemySegmentRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + words = [ + WordTiming(word="Hello", start_time=0.0, end_time=0.5, probability=0.95), + WordTiming(word="world", start_time=0.5, end_time=1.0, probability=0.98), + ] + segment = Segment( + segment_id=0, + text="Hello world", + start_time=0.0, + end_time=1.0, + meeting_id=meeting.id, + words=words, + ) + await segment_repo.add(meeting.id, segment) + await session.commit() + + result = await segment_repo.get_by_meeting(meeting.id, include_words=True) + + assert len(result[0].words) == 2 + assert result[0].words[0].word == "Hello" + + async def test_add_batch_segments(self, session: AsyncSession) -> None: + """Test batch adding segments.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + segment_repo = SqlAlchemySegmentRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + segments = [ + Segment(segment_id=i, text=f"Segment {i}", start_time=float(i), end_time=float(i + 1)) + for i in range(3) + ] + await segment_repo.add_batch(meeting.id, segments) + await session.commit() + + result = await segment_repo.get_by_meeting(meeting.id) + + assert len(result) == 3 + + async def test_get_next_segment_id(self, session: AsyncSession) -> None: + """Test get_next_segment_id returns max + 1 or 0 when empty.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + segment_repo = SqlAlchemySegmentRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + assert await segment_repo.get_next_segment_id(meeting.id) == 0 + + segments = [ + Segment(segment_id=0, text="Segment 0", start_time=0.0, end_time=1.0), + Segment(segment_id=5, text="Segment 5", start_time=1.0, end_time=2.0), + ] + await segment_repo.add_batch(meeting.id, segments) + await session.commit() + + assert await segment_repo.get_next_segment_id(meeting.id) == 6 + + async def test_update_embedding_and_retrieve(self, session: AsyncSession) -> None: + """Test updating a segment embedding persists to the database.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + segment_repo = SqlAlchemySegmentRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + segment = Segment(segment_id=0, text="Hello", start_time=0.0, end_time=1.0) + await segment_repo.add(meeting.id, segment) + await session.commit() + + assert segment.db_id is not None + embedding = [0.1] * 1536 + await segment_repo.update_embedding(segment.db_id, embedding) + await session.commit() + + result = await segment_repo.get_by_meeting(meeting.id) + assert result[0].embedding == embedding + + async def test_search_semantic_orders_by_similarity(self, session: AsyncSession) -> None: + """Test semantic search returns closest matches first.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + segment_repo = SqlAlchemySegmentRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + emb1 = [1.0] + [0.0] * 1535 + emb2 = [0.0, 1.0] + [0.0] * 1534 + + segment1 = Segment( + segment_id=0, + text="First", + start_time=0.0, + end_time=1.0, + embedding=emb1, + ) + segment2 = Segment( + segment_id=1, + text="Second", + start_time=1.0, + end_time=2.0, + embedding=emb2, + ) + await segment_repo.add_batch(meeting.id, [segment1, segment2]) + await session.commit() + + results = await segment_repo.search_semantic(query_embedding=emb1, limit=2) + assert len(results) == 2 + assert results[0][0].segment_id == 0 + assert results[0][1] >= results[1][1] + + +@pytest.mark.integration +class TestSummaryRepository: + """Integration tests for SqlAlchemySummaryRepository.""" + + async def test_save_and_get_summary(self, session: AsyncSession) -> None: + """Test saving and retrieving summary.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + summary_repo = SqlAlchemySummaryRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + summary = Summary( + meeting_id=meeting.id, + executive_summary="This was a productive meeting.", + generated_at=datetime.now(UTC), + model_version="test-v1", + ) + await summary_repo.save(summary) + await session.commit() + + result = await summary_repo.get_by_meeting(meeting.id) + + assert result is not None + assert result.executive_summary == "This was a productive meeting." + assert result.model_version == "test-v1" + + async def test_save_summary_with_key_points(self, session: AsyncSession) -> None: + """Test saving summary with key points.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + summary_repo = SqlAlchemySummaryRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + key_points = [ + KeyPoint(text="Point 1", segment_ids=[0, 1]), + KeyPoint(text="Point 2", segment_ids=[2]), + ] + summary = Summary( + meeting_id=meeting.id, + executive_summary="Summary", + key_points=key_points, + ) + await summary_repo.save(summary) + await session.commit() + + result = await summary_repo.get_by_meeting(meeting.id) + + assert result is not None + assert len(result.key_points) == 2 + assert result.key_points[0].text == "Point 1" + + async def test_save_summary_with_action_items(self, session: AsyncSession) -> None: + """Test saving summary with action items.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + summary_repo = SqlAlchemySummaryRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + action_items = [ + ActionItem(text="Review PR", assignee="Alice", priority=2), + ] + summary = Summary( + meeting_id=meeting.id, + executive_summary="Summary", + action_items=action_items, + ) + await summary_repo.save(summary) + await session.commit() + + result = await summary_repo.get_by_meeting(meeting.id) + + assert result is not None + assert len(result.action_items) == 1 + assert result.action_items[0].text == "Review PR" + assert result.action_items[0].assignee == "Alice" + + async def test_delete_summary(self, session: AsyncSession) -> None: + """Test deleting summary.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + summary_repo = SqlAlchemySummaryRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + summary = Summary(meeting_id=meeting.id, executive_summary="To delete") + await summary_repo.save(summary) + await session.commit() + + result = await summary_repo.delete_by_meeting(meeting.id) + await session.commit() + + assert result is True + + retrieved = await summary_repo.get_by_meeting(meeting.id) + assert retrieved is None + + async def test_update_summary_replaces_items(self, session: AsyncSession) -> None: + """Test saving a summary twice replaces key points and action items.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + summary_repo = SqlAlchemySummaryRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + summary_v1 = Summary( + meeting_id=meeting.id, + executive_summary="v1", + key_points=[KeyPoint(text="Old KP")], + action_items=[ActionItem(text="Old AI")], + ) + await summary_repo.save(summary_v1) + await session.commit() + + summary_v2 = Summary( + meeting_id=meeting.id, + executive_summary="v2", + key_points=[KeyPoint(text="New KP")], + action_items=[ActionItem(text="New AI")], + ) + await summary_repo.save(summary_v2) + await session.commit() + + result = await summary_repo.get_by_meeting(meeting.id) + + assert result is not None + assert result.executive_summary == "v2" + assert [kp.text for kp in result.key_points] == ["New KP"] + assert [ai.text for ai in result.action_items] == ["New AI"] + + +@pytest.mark.integration +class TestAnnotationRepository: + """Integration tests for SqlAlchemyAnnotationRepository.""" + + async def test_add_and_get_annotation(self, session: AsyncSession) -> None: + """Test adding and retrieving annotation.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + annotation_repo = SqlAlchemyAnnotationRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + annotation = Annotation( + id=AnnotationId(uuid4()), + meeting_id=meeting.id, + annotation_type=AnnotationType.NOTE, + text="Decision made", + start_time=1.0, + end_time=2.0, + segment_ids=[0], + ) + await annotation_repo.add(annotation) + await session.commit() + + retrieved = await annotation_repo.get(annotation.id) + + assert retrieved is not None + assert retrieved.text == "Decision made" + assert retrieved.segment_ids == [0] + + async def test_get_by_meeting_ordered(self, session: AsyncSession) -> None: + """Test annotations returned in start_time order.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + annotation_repo = SqlAlchemyAnnotationRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + a1 = Annotation( + id=AnnotationId(uuid4()), + meeting_id=meeting.id, + annotation_type=AnnotationType.NOTE, + text="Second", + start_time=2.0, + end_time=3.0, + ) + a2 = Annotation( + id=AnnotationId(uuid4()), + meeting_id=meeting.id, + annotation_type=AnnotationType.NOTE, + text="First", + start_time=1.0, + end_time=2.0, + ) + await annotation_repo.add(a1) + await annotation_repo.add(a2) + await session.commit() + + result = await annotation_repo.get_by_meeting(meeting.id) + + assert [a.text for a in result] == ["First", "Second"] + + async def test_get_by_time_range_inclusive(self, session: AsyncSession) -> None: + """Test time range query includes boundary overlaps.""" + meeting_repo = SqlAlchemyMeetingRepository(session) + annotation_repo = SqlAlchemyAnnotationRepository(session) + + meeting = Meeting.create() + await meeting_repo.create(meeting) + await session.commit() + + a1 = Annotation( + id=AnnotationId(uuid4()), + meeting_id=meeting.id, + annotation_type=AnnotationType.NOTE, + text="Ends at boundary", + start_time=0.0, + end_time=1.0, + ) + a2 = Annotation( + id=AnnotationId(uuid4()), + meeting_id=meeting.id, + annotation_type=AnnotationType.NOTE, + text="Starts at boundary", + start_time=1.0, + end_time=2.0, + ) + await annotation_repo.add(a1) + await annotation_repo.add(a2) + await session.commit() + + result = await annotation_repo.get_by_time_range(meeting.id, start_time=1.0, end_time=1.0) + + assert {a.text for a in result} == {"Ends at boundary", "Starts at boundary"} + + async def test_update_annotation_not_found_raises(self, session: AsyncSession) -> None: + """Test update raises when annotation does not exist.""" + annotation_repo = SqlAlchemyAnnotationRepository(session) + + annotation = Annotation( + id=AnnotationId(uuid4()), + meeting_id=MeetingId(uuid4()), + annotation_type=AnnotationType.NOTE, + text="Missing", + start_time=0.0, + end_time=1.0, + ) + + with pytest.raises(ValueError, match="Annotation .* not found"): + await annotation_repo.update(annotation) + + async def test_delete_annotation_not_found(self, session: AsyncSession) -> None: + """Test deleting unknown annotation returns False.""" + annotation_repo = SqlAlchemyAnnotationRepository(session) + + result = await annotation_repo.delete(AnnotationId(uuid4())) + + assert result is False diff --git a/tests/integration/test_unit_of_work.py b/tests/integration/test_unit_of_work.py new file mode 100644 index 0000000..e7a65fb --- /dev/null +++ b/tests/integration/test_unit_of_work.py @@ -0,0 +1,150 @@ +"""Integration tests for SqlAlchemyUnitOfWork.""" + +from __future__ import annotations + +from datetime import UTC, datetime +from typing import TYPE_CHECKING + +import pytest + +from noteflow.domain.entities import Meeting, Segment, Summary +from noteflow.domain.value_objects import MeetingState +from noteflow.infrastructure.persistence.unit_of_work import SqlAlchemyUnitOfWork + +if TYPE_CHECKING: + from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker + + +@pytest.mark.integration +class TestUnitOfWork: + """Integration tests for SqlAlchemyUnitOfWork.""" + + async def test_uow_context_manager( + self, session_factory: async_sessionmaker[AsyncSession] + ) -> None: + """Test UoW works as async context manager.""" + async with SqlAlchemyUnitOfWork(session_factory) as uow: + assert uow.meetings is not None + assert uow.segments is not None + assert uow.summaries is not None + + async def test_uow_commit(self, session_factory: async_sessionmaker[AsyncSession]) -> None: + """Test UoW commit persists changes.""" + meeting = Meeting.create(title="Commit Test") + + async with SqlAlchemyUnitOfWork(session_factory) as uow: + await uow.meetings.create(meeting) + await uow.commit() + + # Verify in new UoW + async with SqlAlchemyUnitOfWork(session_factory) as uow: + retrieved = await uow.meetings.get(meeting.id) + assert retrieved is not None + assert retrieved.title == "Commit Test" + + async def test_uow_rollback(self, session_factory: async_sessionmaker[AsyncSession]) -> None: + """Test UoW rollback discards changes.""" + meeting = Meeting.create(title="Rollback Test") + + async with SqlAlchemyUnitOfWork(session_factory) as uow: + await uow.meetings.create(meeting) + await uow.rollback() + + # Verify not persisted + async with SqlAlchemyUnitOfWork(session_factory) as uow: + retrieved = await uow.meetings.get(meeting.id) + assert retrieved is None + + async def test_uow_auto_rollback_on_exception( + self, session_factory: async_sessionmaker[AsyncSession] + ) -> None: + """Test UoW auto-rollbacks on exception.""" + meeting = Meeting.create(title="Exception Test") + + with pytest.raises(ValueError, match="Test exception"): + async with SqlAlchemyUnitOfWork(session_factory) as uow: + await uow.meetings.create(meeting) + raise ValueError("Test exception") + + # Verify not persisted + async with SqlAlchemyUnitOfWork(session_factory) as uow: + retrieved = await uow.meetings.get(meeting.id) + assert retrieved is None + + async def test_uow_transactional_consistency( + self, session_factory: async_sessionmaker[AsyncSession] + ) -> None: + """Test UoW provides transactional consistency across repos.""" + meeting = Meeting.create(title="Transactional Test") + segment = Segment( + segment_id=0, + text="Hello", + start_time=0.0, + end_time=1.0, + meeting_id=meeting.id, + ) + summary = Summary( + meeting_id=meeting.id, + executive_summary="Test summary", + generated_at=datetime.now(UTC), + ) + + # Create meeting, segment, and summary in same transaction + async with SqlAlchemyUnitOfWork(session_factory) as uow: + await uow.meetings.create(meeting) + await uow.segments.add(meeting.id, segment) + await uow.summaries.save(summary) + await uow.commit() + + # Verify all persisted + async with SqlAlchemyUnitOfWork(session_factory) as uow: + m = await uow.meetings.get(meeting.id) + segs = await uow.segments.get_by_meeting(meeting.id) + s = await uow.summaries.get_by_meeting(meeting.id) + + assert m is not None + assert len(segs) == 1 + assert s is not None + + async def test_uow_repository_caching( + self, session_factory: async_sessionmaker[AsyncSession] + ) -> None: + """Test UoW caches repository instances.""" + async with SqlAlchemyUnitOfWork(session_factory) as uow: + meetings1 = uow.meetings + meetings2 = uow.meetings + assert meetings1 is meetings2 + + segments1 = uow.segments + segments2 = uow.segments + assert segments1 is segments2 + + async def test_uow_multiple_operations( + self, session_factory: async_sessionmaker[AsyncSession] + ) -> None: 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