Travis Vasceannie
04fec933ac
- Introduced memory snapshot logging to track resource usage during summarization and diarization processes. - Added action item extraction capabilities from meeting segments, improving the summarization output. - Refactored summarization and diarization mixins to integrate new logging and extraction functionalities. - Implemented a bounded audio buffer for streaming diarization to manage memory efficiently. - Enhanced error handling and diagnostics in summarization and diarization workflows.
92 lines
3.2 KiB
Docker
92 lines
3.2 KiB
Docker
# syntax=docker/dockerfile:1
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FROM python:3.12-bookworm AS base
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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UV_COMPILE_BYTECODE=1 \
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UV_LINK_MODE=copy
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# Install uv
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
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# Core build/runtime deps for project packages (sounddevice, asyncpg, cryptography).
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends \
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build-essential \
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pkg-config \
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portaudio19-dev \
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libsndfile1 \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /workspace
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# Copy dependency files first for better layer caching
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COPY pyproject.toml uv.lock* ./
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# =============================================================================
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# Server Stage
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# =============================================================================
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FROM base AS server
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# Install dependencies (server needs dev deps for watchfiles)
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --no-install-project --group dev --all-extras
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# Copy source code
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COPY . .
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# Install the project itself
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --group dev --all-extras
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# Install spaCy small English model for NER (baked into image)
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl
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EXPOSE 50051
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CMD ["sh", "-c", "uv sync --frozen --group dev --all-extras && uv run python scripts/dev_watch_server.py"]
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# =============================================================================
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# Server Production Stage (all optional dependencies)
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# =============================================================================
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FROM base AS server-full
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# Install all dependencies including optional extras
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --no-install-project --group dev --all-extras
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# Copy source code
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COPY . .
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# Install the project itself
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --group dev --all-extras
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# Install spaCy small English model for NER (baked into image)
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl
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EXPOSE 50051
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CMD ["sh", "-c", "uv sync --frozen --group dev --all-extras && uv run python scripts/dev_watch_server.py"]
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# -----------------------------------------------------------------------------
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# NER stage: Add spaCy model for named entity recognition
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# -----------------------------------------------------------------------------
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FROM base AS with-ner
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# Install NER dependencies and download spaCy model
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RUN python -m pip install -e ".[ner]" \
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&& python -m spacy download en_core_web_sm
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# Verify model is available
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RUN python -c "import spacy; nlp = spacy.load('en_core_web_sm'); print('NER model loaded successfully')"
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# -----------------------------------------------------------------------------
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# Development target (default)
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# -----------------------------------------------------------------------------
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FROM base AS dev
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CMD ["sh", "-c", "uv sync --frozen --group dev --all-extras && uv run python scripts/dev_watch_server.py"]
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