diff --git a/.claude/hooks/hookify.block-any-type.local.md b/.claude/hookify.block-any-type.local.md similarity index 100% rename from .claude/hooks/hookify.block-any-type.local.md rename to .claude/hookify.block-any-type.local.md diff --git a/.claude/hooks/hookify.block-assertion-roulette.local.md b/.claude/hookify.block-assertion-roulette.local.md similarity index 100% rename from .claude/hooks/hookify.block-assertion-roulette.local.md rename to .claude/hookify.block-assertion-roulette.local.md diff --git a/.claude/hooks/hookify.block-code-quality-test-bash.local.md b/.claude/hookify.block-code-quality-test-bash.local.md similarity index 100% rename from .claude/hooks/hookify.block-code-quality-test-bash.local.md rename to .claude/hookify.block-code-quality-test-bash.local.md diff --git a/.claude/hooks/hookify.block-code-quality-test-edits.local.md b/.claude/hookify.block-code-quality-test-edits.local.md similarity index 100% rename from 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similarity index 100% rename from .claude/hooks/hookify.warn-baselines-edit.local.md rename to .claude/hookify.warn-baselines-edit.local.md diff --git a/.claude/hooks/hookify.warn-large-file.local.md b/.claude/hookify.warn-large-file.local.md similarity index 100% rename from .claude/hooks/hookify.warn-large-file.local.md rename to .claude/hookify.warn-large-file.local.md diff --git a/.claude/hooks/hookify.warn-new-file-search.local.md b/.claude/hookify.warn-new-file-search.local.md similarity index 100% rename from .claude/hooks/hookify.warn-new-file-search.local.md rename to .claude/hookify.warn-new-file-search.local.md diff --git a/client/src-tauri/src/commands/calendar.rs b/client/src-tauri/src/commands/calendar.rs index 8d7d30d..541100c 100644 --- a/client/src-tauri/src/commands/calendar.rs +++ b/client/src-tauri/src/commands/calendar.rs @@ -10,7 +10,8 @@ use tracing::{error, info}; use crate::error::{Error, Result}; use crate::grpc::types::calendar::{ CompleteOAuthResult, DisconnectOAuthResult, GetCalendarProvidersResult, - GetOAuthConnectionStatusResult, InitiateOAuthResult, ListCalendarEventsResult, + GetOAuthClientConfigResult, GetOAuthConnectionStatusResult, InitiateOAuthResult, + ListCalendarEventsResult, OAuthClientConfig, SetOAuthClientConfigResult, }; use crate::oauth_loopback::OAuthLoopbackServer; use crate::state::AppState; @@ -194,6 +195,44 @@ pub async fn get_oauth_connection_status( .await } +/// Get OAuth client override configuration for a provider. +#[tauri::command(rename_all = "snake_case")] +pub async fn get_oauth_client_config( + state: State<'_, Arc>, + provider: String, + workspace_id: Option, + integration_type: Option, +) -> Result { + state + .grpc_client + .get_oauth_client_config( + &provider, + integration_type.as_deref(), + workspace_id.as_deref(), + ) + .await +} + +/// Set OAuth client override configuration for a provider. +#[tauri::command(rename_all = "snake_case")] +pub async fn set_oauth_client_config( + state: State<'_, Arc>, + provider: String, + workspace_id: Option, + integration_type: Option, + config: OAuthClientConfig, +) -> Result { + state + .grpc_client + .set_oauth_client_config( + &provider, + integration_type.as_deref(), + workspace_id.as_deref(), + config, + ) + .await +} + /// Disconnect OAuth integration. #[tauri::command(rename_all = "snake_case")] pub async fn disconnect_oauth( diff --git a/client/src-tauri/src/commands/identity.rs b/client/src-tauri/src/commands/identity.rs index 3539eab..0a42f33 100644 --- a/client/src-tauri/src/commands/identity.rs +++ b/client/src-tauri/src/commands/identity.rs @@ -85,15 +85,36 @@ pub async fn list_workspaces(_state: State<'_, Arc>) -> Result>, + state: State<'_, Arc>, workspace_id: String, ) -> Result { let workspace = default_workspaces() .into_iter() .find(|workspace| workspace.id == workspace_id); + let success = if let Some(ws) = &workspace { + // Update the stored identity so subsequent gRPC calls use the correct workspace_id + state.identity.store().switch_workspace( + ws.id.clone(), + ws.name.clone(), + // Map generic WorkspaceRole to string for storage + match ws.role { + WorkspaceRole::Owner => "owner".to_string(), + WorkspaceRole::Admin => "admin".to_string(), + WorkspaceRole::Member => "member".to_string(), + WorkspaceRole::Viewer => "viewer".to_string(), + WorkspaceRole::Guest => "guest".to_string(), + WorkspaceRole::System => "system".to_string(), + WorkspaceRole::Unspecified => "unspecified".to_string(), + }, + )?; + true + } else { + false + }; + Ok(SwitchWorkspaceResult { - success: workspace.is_some(), + success, workspace, }) } diff --git a/client/src-tauri/src/grpc/client/calendar.rs b/client/src-tauri/src/grpc/client/calendar.rs index 783aa3a..88f7389 100644 --- a/client/src-tauri/src/grpc/client/calendar.rs +++ b/client/src-tauri/src/grpc/client/calendar.rs @@ -4,7 +4,8 @@ use crate::error::Result; use crate::grpc::noteflow as pb; use crate::grpc::types::calendar::{ CompleteOAuthResult, DisconnectOAuthResult, GetCalendarProvidersResult, - GetOAuthConnectionStatusResult, InitiateOAuthResult, ListCalendarEventsResult, OAuthConnection, + GetOAuthClientConfigResult, GetOAuthConnectionStatusResult, InitiateOAuthResult, + ListCalendarEventsResult, OAuthClientConfig, OAuthConnection, SetOAuthClientConfigResult, }; use super::converters::{convert_calendar_event, convert_calendar_provider}; @@ -131,6 +132,36 @@ impl GrpcClient { }) } + /// Get OAuth client override configuration. + pub async fn get_oauth_client_config( + &self, + provider: &str, + integration_type: Option<&str>, + workspace_id: Option<&str>, + ) -> Result { + let mut client = self.get_client()?; + let response = client + .get_o_auth_client_config(pb::GetOAuthClientConfigRequest { + provider: provider.to_string(), + integration_type: integration_type.unwrap_or_default().to_string(), + workspace_id: workspace_id.unwrap_or_default().to_string(), + }) + .await? + .into_inner(); + + let config = response.config.unwrap_or_default(); + Ok(GetOAuthClientConfigResult { + config: OAuthClientConfig { + client_id: config.client_id, + client_secret: config.client_secret, + redirect_uri: config.redirect_uri, + scopes: config.scopes, + override_enabled: config.override_enabled, + has_client_secret: config.has_client_secret, + }, + }) + } + /// Disconnect OAuth integration. pub async fn disconnect_oauth( &self, @@ -151,4 +182,35 @@ impl GrpcClient { error_message: response.error_message, }) } + + /// Set OAuth client override configuration. + pub async fn set_oauth_client_config( + &self, + provider: &str, + integration_type: Option<&str>, + workspace_id: Option<&str>, + config: OAuthClientConfig, + ) -> Result { + let mut client = self.get_client()?; + let response = client + .set_o_auth_client_config(pb::SetOAuthClientConfigRequest { + provider: provider.to_string(), + integration_type: integration_type.unwrap_or_default().to_string(), + workspace_id: workspace_id.unwrap_or_default().to_string(), + config: Some(pb::OAuthClientConfig { + client_id: config.client_id, + client_secret: config.client_secret, + redirect_uri: config.redirect_uri, + scopes: config.scopes, + override_enabled: config.override_enabled, + has_client_secret: config.has_client_secret, + }), + }) + .await? + .into_inner(); + + Ok(SetOAuthClientConfigResult { + success: response.success, + }) + } } diff --git a/client/src-tauri/src/grpc/noteflow.rs b/client/src-tauri/src/grpc/noteflow.rs index 5071567..d27efa7 100644 --- a/client/src-tauri/src/grpc/noteflow.rs +++ b/client/src-tauri/src/grpc/noteflow.rs @@ -526,6 +526,12 @@ pub struct AsrConfiguration { /// Available compute types for current device #[prost(enumeration = "AsrComputeType", repeated, tag = "7")] pub available_compute_types: ::prost::alloc::vec::Vec, + /// Whether ROCm is available on this server + #[prost(bool, tag = "8")] + pub rocm_available: bool, + /// Current GPU backend (none, cuda, rocm, mps) + #[prost(string, tag = "9")] + pub gpu_backend: ::prost::alloc::string::String, } #[derive(Clone, Copy, PartialEq, ::prost::Message)] pub struct GetAsrConfigurationRequest {} @@ -1148,6 +1154,65 @@ pub struct DisconnectOAuthResponse { #[prost(string, tag = "2")] pub error_message: ::prost::alloc::string::String, } +/// OAuth client override configuration +#[derive(Clone, PartialEq, ::prost::Message)] +pub struct OAuthClientConfig { + /// OAuth client ID + #[prost(string, tag = "1")] + pub client_id: ::prost::alloc::string::String, + /// Optional client secret (request only) + #[prost(string, optional, tag = "2")] + pub client_secret: ::core::option::Option<::prost::alloc::string::String>, + /// Redirect URI for OAuth callback + #[prost(string, tag = "3")] + pub redirect_uri: ::prost::alloc::string::String, + /// OAuth scopes to request + #[prost(string, repeated, tag = "4")] + pub scopes: ::prost::alloc::vec::Vec<::prost::alloc::string::String>, + /// Whether override should be used + #[prost(bool, tag = "5")] + pub override_enabled: bool, + /// Whether a client secret is stored (response only) + #[prost(bool, tag = "6")] + pub has_client_secret: bool, +} +#[derive(Clone, PartialEq, ::prost::Message)] +pub struct GetOAuthClientConfigRequest { + /// Provider to configure: google, outlook + #[prost(string, tag = "1")] + pub provider: ::prost::alloc::string::String, + /// Optional integration type + #[prost(string, tag = "2")] + pub integration_type: ::prost::alloc::string::String, + /// Optional workspace ID override + #[prost(string, tag = "3")] + pub workspace_id: ::prost::alloc::string::String, +} +#[derive(Clone, PartialEq, ::prost::Message)] +pub struct GetOAuthClientConfigResponse { + #[prost(message, optional, tag = "1")] + pub config: ::core::option::Option, +} +#[derive(Clone, PartialEq, ::prost::Message)] +pub struct SetOAuthClientConfigRequest { + /// Provider to configure: google, outlook + #[prost(string, tag = "1")] + pub provider: ::prost::alloc::string::String, + /// Optional integration type + #[prost(string, tag = "2")] + pub integration_type: ::prost::alloc::string::String, + /// Optional workspace ID override + #[prost(string, tag = "3")] + pub workspace_id: ::prost::alloc::string::String, + /// OAuth client configuration + #[prost(message, optional, tag = "4")] + pub config: ::core::option::Option, +} +#[derive(Clone, Copy, PartialEq, ::prost::Message)] +pub struct SetOAuthClientConfigResponse { + #[prost(bool, tag = "1")] + pub success: bool, +} #[derive(Clone, PartialEq, ::prost::Message)] pub struct RegisterWebhookRequest { /// Workspace this webhook belongs to @@ -2464,6 +2529,7 @@ pub enum AsrDevice { Unspecified = 0, Cpu = 1, Cuda = 2, + Rocm = 3, } impl AsrDevice { /// String value of the enum field names used in the ProtoBuf definition. @@ -2475,6 +2541,7 @@ impl AsrDevice { Self::Unspecified => "ASR_DEVICE_UNSPECIFIED", Self::Cpu => "ASR_DEVICE_CPU", Self::Cuda => "ASR_DEVICE_CUDA", + Self::Rocm => "ASR_DEVICE_ROCM", } } /// Creates an enum from field names used in the ProtoBuf definition. @@ -2483,6 +2550,7 @@ impl AsrDevice { "ASR_DEVICE_UNSPECIFIED" => Some(Self::Unspecified), "ASR_DEVICE_CPU" => Some(Self::Cpu), "ASR_DEVICE_CUDA" => Some(Self::Cuda), + "ASR_DEVICE_ROCM" => Some(Self::Rocm), _ => None, } } @@ -3832,6 +3900,58 @@ pub mod note_flow_service_client { .insert(GrpcMethod::new("noteflow.NoteFlowService", "DisconnectOAuth")); self.inner.unary(req, path, codec).await } + pub async fn get_o_auth_client_config( + &mut self, + request: impl tonic::IntoRequest, + ) -> std::result::Result< + tonic::Response, + tonic::Status, + > { + self.inner + .ready() + .await + .map_err(|e| { + tonic::Status::unknown( + format!("Service was not ready: {}", e.into()), + ) + })?; + let codec = tonic::codec::ProstCodec::default(); + let path = http::uri::PathAndQuery::from_static( + "/noteflow.NoteFlowService/GetOAuthClientConfig", + ); + let mut req = request.into_request(); + req.extensions_mut() + .insert( + GrpcMethod::new("noteflow.NoteFlowService", "GetOAuthClientConfig"), + ); + self.inner.unary(req, path, codec).await + } + pub async fn set_o_auth_client_config( + &mut self, + request: impl tonic::IntoRequest, + ) -> std::result::Result< + tonic::Response, + tonic::Status, + > { + self.inner + .ready() + .await + .map_err(|e| { + tonic::Status::unknown( + format!("Service was not ready: {}", e.into()), + ) + })?; + let codec = tonic::codec::ProstCodec::default(); + let path = http::uri::PathAndQuery::from_static( + "/noteflow.NoteFlowService/SetOAuthClientConfig", + ); + let mut req = request.into_request(); + req.extensions_mut() + .insert( + GrpcMethod::new("noteflow.NoteFlowService", "SetOAuthClientConfig"), + ); + self.inner.unary(req, path, codec).await + } /// Webhook management (Sprint 6) pub async fn register_webhook( &mut self, diff --git a/client/src-tauri/src/grpc/types/calendar.rs b/client/src-tauri/src/grpc/types/calendar.rs index fb69ecc..589a9bb 100644 --- a/client/src-tauri/src/grpc/types/calendar.rs +++ b/client/src-tauri/src/grpc/types/calendar.rs @@ -75,15 +75,39 @@ pub struct OAuthConnection { pub integration_type: String, } +/// OAuth client configuration (matches proto OAuthClientConfig) +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct OAuthClientConfig { + pub client_id: String, + pub client_secret: Option, + pub redirect_uri: String, + pub scopes: Vec, + pub override_enabled: bool, + #[serde(default)] + pub has_client_secret: bool, +} + /// Get OAuth connection status result #[derive(Debug, Clone, Serialize, Deserialize)] pub struct GetOAuthConnectionStatusResult { pub connection: OAuthConnection, } +/// Get OAuth client config result +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct GetOAuthClientConfigResult { + pub config: OAuthClientConfig, +} + /// Disconnect OAuth result (matches proto DisconnectOAuthResponse) #[derive(Debug, Clone, Serialize, Deserialize)] pub struct DisconnectOAuthResult { pub success: bool, pub error_message: String, } + +/// Set OAuth client config result (matches proto SetOAuthClientConfigResponse) +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SetOAuthClientConfigResult { + pub success: bool, +} diff --git a/client/src-tauri/src/lib.rs b/client/src-tauri/src/lib.rs index a2aaca3..9d89515 100644 --- a/client/src-tauri/src/lib.rs +++ b/client/src-tauri/src/lib.rs @@ -149,6 +149,8 @@ macro_rules! app_invoke_handler { commands::initiate_oauth_loopback, commands::complete_oauth, commands::get_oauth_connection_status, + commands::get_oauth_client_config, + commands::set_oauth_client_config, commands::disconnect_oauth, // Webhooks (5 commands) commands::register_webhook, diff --git a/client/src/api/cached/calendar.ts b/client/src/api/cached/calendar.ts index 9fdbdab..78d00e2 100644 --- a/client/src/api/cached/calendar.ts +++ b/client/src/api/cached/calendar.ts @@ -1,10 +1,14 @@ import type { NoteFlowAPI } from '../interface'; import type { CompleteCalendarAuthResponse, + GetOAuthClientConfigRequest, + GetOAuthClientConfigResponse, GetCalendarProvidersResponse, GetOAuthConnectionStatusResponse, InitiateCalendarAuthResponse, ListCalendarEventsResponse, + SetOAuthClientConfigRequest, + SetOAuthClientConfigResponse, } from '../types'; import { rejectReadOnly } from './readonly'; @@ -15,6 +19,8 @@ export const cachedCalendarAPI: Pick< | 'initiateCalendarAuth' | 'completeCalendarAuth' | 'getOAuthConnectionStatus' + | 'getOAuthClientConfig' + | 'setOAuthClientConfig' | 'disconnectCalendar' > = { async listCalendarEvents( @@ -52,6 +58,24 @@ export const cachedCalendarAPI: Pick< }, }; }, + async getOAuthClientConfig( + _request: GetOAuthClientConfigRequest + ): Promise { + return { + config: { + client_id: '', + redirect_uri: '', + scopes: [], + override_enabled: false, + has_client_secret: false, + }, + }; + }, + async setOAuthClientConfig( + _request: SetOAuthClientConfigRequest + ): Promise { + return rejectReadOnly(); + }, async disconnectCalendar(_provider: string) { return rejectReadOnly(); }, diff --git a/client/src/api/interface.ts b/client/src/api/interface.ts index b3611e7..8333422 100644 --- a/client/src/api/interface.ts +++ b/client/src/api/interface.ts @@ -50,6 +50,8 @@ import type { GetWorkspaceSettingsRequest, GetWorkspaceSettingsResponse, GetMeetingRequest, + GetOAuthClientConfigRequest, + GetOAuthClientConfigResponse, GetOAuthConnectionStatusResponse, GetProjectBySlugRequest, GetProjectRequest, @@ -100,6 +102,8 @@ import type { SummarizationTemplateMutationResponse, SwitchWorkspaceResponse, Summary, + SetOAuthClientConfigRequest, + SetOAuthClientConfigResponse, TriggerStatus, UpdateASRConfigurationRequest, UpdateASRConfigurationResult, @@ -769,6 +773,22 @@ export interface NoteFlowAPI { */ getOAuthConnectionStatus(provider: string): Promise; + /** + * Get OAuth client override configuration. + * @see gRPC endpoint: GetOAuthClientConfig (unary) + */ + getOAuthClientConfig( + request: GetOAuthClientConfigRequest + ): Promise; + + /** + * Set OAuth client override configuration. + * @see gRPC endpoint: SetOAuthClientConfig (unary) + */ + setOAuthClientConfig( + request: SetOAuthClientConfigRequest + ): Promise; + /** * Disconnect OAuth integration. * @see gRPC endpoint: DisconnectOAuth (unary) diff --git a/client/src/api/mock-adapter.ts b/client/src/api/mock-adapter.ts index 26c7030..a687091 100644 --- a/client/src/api/mock-adapter.ts +++ b/client/src/api/mock-adapter.ts @@ -42,6 +42,8 @@ import type { GetCalendarProvidersResponse, GetCurrentUserResponse, GetMeetingRequest, + GetOAuthClientConfigRequest, + GetOAuthClientConfigResponse, GetOAuthConnectionStatusResponse, GetProjectBySlugRequest, GetProjectRequest, @@ -95,6 +97,8 @@ import type { RestoreSummarizationTemplateVersionRequest, ServerInfo, StartIntegrationSyncResponse, + SetOAuthClientConfigRequest, + SetOAuthClientConfigResponse, SwitchWorkspaceResponse, SummarizationTemplate, SummarizationTemplateMutationResponse, @@ -1620,6 +1624,28 @@ export const mockAPI: NoteFlowAPI = { }; }, + async getOAuthClientConfig( + _request: GetOAuthClientConfigRequest + ): Promise { + await delay(50); + return { + config: { + client_id: '', + redirect_uri: '', + scopes: [], + override_enabled: false, + has_client_secret: false, + }, + }; + }, + + async setOAuthClientConfig( + _request: SetOAuthClientConfigRequest + ): Promise { + await delay(50); + return { success: true }; + }, + async disconnectCalendar(_provider: string): Promise { await delay(100); return { success: true }; diff --git a/client/src/api/tauri-adapter.ts b/client/src/api/tauri-adapter.ts index aa77af8..f2a6847 100644 --- a/client/src/api/tauri-adapter.ts +++ b/client/src/api/tauri-adapter.ts @@ -70,6 +70,8 @@ import type { GetActiveProjectRequest, GetActiveProjectResponse, GetMeetingRequest, + GetOAuthClientConfigRequest, + GetOAuthClientConfigResponse, GetOAuthConnectionStatusResponse, GetProjectBySlugRequest, GetProjectRequest, @@ -122,6 +124,8 @@ import type { SetActiveProjectRequest, SetHuggingFaceTokenRequest, SetHuggingFaceTokenResult, + SetOAuthClientConfigRequest, + SetOAuthClientConfigResponse, StartIntegrationSyncResponse, SwitchWorkspaceResponse, SummarizationOptions, @@ -1278,6 +1282,25 @@ export function createTauriAPI(invoke: TauriInvoke, listen: TauriListen): NoteFl provider, }); }, + async getOAuthClientConfig( + request: GetOAuthClientConfigRequest + ): Promise { + return invoke(TauriCommands.GET_OAUTH_CLIENT_CONFIG, { + provider: request.provider, + workspace_id: request.workspace_id, + integration_type: request.integration_type, + }); + }, + async setOAuthClientConfig( + request: SetOAuthClientConfigRequest + ): Promise { + return invoke(TauriCommands.SET_OAUTH_CLIENT_CONFIG, { + provider: request.provider, + workspace_id: request.workspace_id, + integration_type: request.integration_type, + config: request.config, + }); + }, async disconnectCalendar(provider: string): Promise { const response = await invoke(TauriCommands.DISCONNECT_OAUTH, { provider, diff --git a/client/src/api/tauri-constants.ts b/client/src/api/tauri-constants.ts index c629f0e..42afc50 100644 --- a/client/src/api/tauri-constants.ts +++ b/client/src/api/tauri-constants.ts @@ -99,6 +99,8 @@ export const TauriCommands = { INITIATE_OAUTH_LOOPBACK: 'initiate_oauth_loopback', COMPLETE_OAUTH: 'complete_oauth', GET_OAUTH_CONNECTION_STATUS: 'get_oauth_connection_status', + GET_OAUTH_CLIENT_CONFIG: 'get_oauth_client_config', + SET_OAUTH_CLIENT_CONFIG: 'set_oauth_client_config', DISCONNECT_OAUTH: 'disconnect_oauth', REGISTER_WEBHOOK: 'register_webhook', LIST_WEBHOOKS: 'list_webhooks', diff --git a/client/src/api/types/features/calendar.ts b/client/src/api/types/features/calendar.ts index fe8baae..0ec0d41 100644 --- a/client/src/api/types/features/calendar.ts +++ b/client/src/api/types/features/calendar.ts @@ -118,3 +118,35 @@ export interface DisconnectOAuthRequest { export interface DisconnectOAuthResponse { success: boolean; } + +// --- OAuth Client Configuration --- + +export interface OAuthClientConfig { + client_id: string; + client_secret?: string; + redirect_uri: string; + scopes: string[]; + override_enabled: boolean; + has_client_secret?: boolean; +} + +export interface GetOAuthClientConfigRequest { + provider: string; + integration_type?: string; + workspace_id?: string; +} + +export interface GetOAuthClientConfigResponse { + config: OAuthClientConfig; +} + +export interface SetOAuthClientConfigRequest { + provider: string; + integration_type?: string; + workspace_id?: string; + config: OAuthClientConfig; +} + +export interface SetOAuthClientConfigResponse { + success: boolean; +} diff --git a/client/src/api/types/requests.ts b/client/src/api/types/requests.ts index 2712e48..2701ff9 100644 --- a/client/src/api/types/requests.ts +++ b/client/src/api/types/requests.ts @@ -78,6 +78,10 @@ export type { SyncHistoryEvent, SyncNotificationPreferences, WebhookConfig, + GetOAuthClientConfigRequest, + GetOAuthClientConfigResponse, + SetOAuthClientConfigRequest, + SetOAuthClientConfigResponse, } from './requests/integrations'; export type { ProjectScope, diff --git a/client/src/api/types/requests/integrations.ts b/client/src/api/types/requests/integrations.ts index ad3fec1..3b502c8 100644 --- a/client/src/api/types/requests/integrations.ts +++ b/client/src/api/types/requests/integrations.ts @@ -76,6 +76,10 @@ export interface Integration { status: IntegrationStatus; last_sync?: number; error_message?: string; + /** Whether OAuth override credentials should be used (calendar only). */ + oauth_override_enabled?: boolean; + /** Whether server has a stored OAuth override secret (calendar only). */ + oauth_override_has_secret?: boolean; // Type-specific configs oauth_config?: OAuthConfig; email_config?: EmailProviderConfig; @@ -109,3 +113,24 @@ export interface SyncHistoryEvent { duration: number; // milliseconds error?: string; } + +export interface GetOAuthClientConfigRequest { + workspace_id?: string; + provider: string; + integration_type?: Integration['type']; +} + +export interface GetOAuthClientConfigResponse { + config?: OAuthConfig; +} + +export interface SetOAuthClientConfigRequest { + workspace_id?: string; + provider: string; + integration_type?: Integration['type']; + config: OAuthConfig; +} + +export interface SetOAuthClientConfigResponse { + success: boolean; +} diff --git a/client/src/components/integration-config-panel/calendar-config.tsx b/client/src/components/integration-config-panel/calendar-config.tsx index 5a3b189..2396a31 100644 --- a/client/src/components/integration-config-panel/calendar-config.tsx +++ b/client/src/components/integration-config-panel/calendar-config.tsx @@ -16,6 +16,8 @@ import { SelectValue, } from '@/components/ui/select'; import { Separator } from '@/components/ui/separator'; +import { Switch } from '@/components/ui/switch'; +import { useWorkspace } from '@/contexts/workspace-state'; import { configPanelContentStyles, Field, SecretInput } from './shared'; interface CalendarConfigProps { @@ -31,6 +33,7 @@ export function CalendarConfig({ showSecrets, toggleSecret, }: CalendarConfigProps) { + const { currentWorkspace } = useWorkspace(); const calConfig = integration.calendar_config || { sync_interval_minutes: 15, calendar_ids: [], @@ -41,6 +44,11 @@ export function CalendarConfig({ redirect_uri: '', scopes: [], }; + const overrideEnabled = integration.oauth_override_enabled ?? false; + const overrideHasSecret = integration.oauth_override_has_secret ?? false; + const canOverride = + currentWorkspace?.role === 'owner' || currentWorkspace?.role === 'admin'; + const oauthFieldsDisabled = !overrideEnabled || !canOverride; return (
@@ -48,6 +56,24 @@ export function CalendarConfig({ OAuth 2.0 Requires OAuth authentication
+
+
+ +

+ {overrideEnabled + ? 'Using custom credentials for this workspace' + : 'Using server-provided credentials'} +

+ {!canOverride ? ( +

Admin access required

+ ) : null} +
+ onUpdate({ oauth_override_enabled: value })} + disabled={!canOverride} + /> +
}> onUpdate({ oauth_config: { ...oauthConfig, client_secret: value } })} - placeholder="Enter client secret" + placeholder={overrideHasSecret ? 'Stored on server' : 'Enter client secret'} showSecret={showSecrets.calendar_client_secret ?? false} onToggleSecret={() => toggleSecret('calendar_client_secret')} icon={} + disabled={oauthFieldsDisabled} />
}> @@ -79,6 +107,7 @@ export function CalendarConfig({ }) } placeholder="https://your-app.com/calendar/callback" + disabled={oauthFieldsDisabled} /> diff --git a/client/src/components/integration-config-panel/shared.tsx b/client/src/components/integration-config-panel/shared.tsx index afaffd0..7e1e364 100644 --- a/client/src/components/integration-config-panel/shared.tsx +++ b/client/src/components/integration-config-panel/shared.tsx @@ -47,6 +47,7 @@ export function SecretInput({ showSecret, onToggleSecret, icon, + disabled = false, }: { label: string; value: string; @@ -55,6 +56,7 @@ export function SecretInput({ showSecret: boolean; onToggleSecret: () => void; icon?: ReactNode; + disabled?: boolean; }) { return ( @@ -65,6 +67,7 @@ export function SecretInput({ onChange={(e) => onChange(e.target.value)} placeholder={placeholder} className="pr-10" + disabled={disabled} /> diff --git a/client/src/components/settings/integrations-section/use-integration-handlers.test.tsx b/client/src/components/settings/integrations-section/use-integration-handlers.test.tsx index 6c6544a..dfa320d 100644 --- a/client/src/components/settings/integrations-section/use-integration-handlers.test.tsx +++ b/client/src/components/settings/integrations-section/use-integration-handlers.test.tsx @@ -68,6 +68,8 @@ const oidcProvidersState = vi.hoisted(() => ({ const apiState = vi.hoisted(() => ({ testOidcConnection: vi.fn(), + getOAuthClientConfig: vi.fn(), + setOAuthClientConfig: vi.fn(), })); vi.mock('@/lib/preferences', () => ({ @@ -103,7 +105,7 @@ vi.mock('@/lib/error-reporting', () => ({ })); vi.mock('@/contexts/workspace-state', () => ({ - useWorkspace: () => ({ currentWorkspace: { id: 'workspace-1' } }), + useWorkspace: () => ({ currentWorkspace: { id: 'workspace-1', role: 'member' } }), })); function createIntegration(overrides: Partial): Integration { @@ -126,6 +128,18 @@ describe('useIntegrationHandlers', () => { oidcProvidersState.createProvider.mockReset(); oidcProvidersState.updateProvider.mockReset(); apiState.testOidcConnection.mockReset(); + apiState.getOAuthClientConfig.mockReset(); + apiState.setOAuthClientConfig.mockReset(); + apiState.getOAuthClientConfig.mockResolvedValue({ + config: { + client_id: '', + redirect_uri: '', + scopes: [], + override_enabled: false, + has_client_secret: false, + }, + }); + apiState.setOAuthClientConfig.mockResolvedValue({ success: true }); vi.mocked(preferences.getIntegrations).mockClear(); vi.mocked(preferences.updateIntegration).mockClear(); vi.mocked(preferences.addCustomIntegration).mockClear(); @@ -137,8 +151,15 @@ describe('useIntegrationHandlers', () => { const integration = createIntegration({ type: 'calendar', name: 'Google Calendar', - oauth_config: undefined, + oauth_override_enabled: true, + oauth_config: { + client_id: '', + client_secret: '', + redirect_uri: '', + scopes: [], + }, }); + apiState.getOAuthClientConfig.mockRejectedValue(new Error('skip')); integrationState.integrations = [integration]; const setIntegrations = vi.fn(); diff --git a/client/src/components/settings/integrations-section/use-integration-handlers.ts b/client/src/components/settings/integrations-section/use-integration-handlers.ts index 17b1045..a078823 100644 --- a/client/src/components/settings/integrations-section/use-integration-handlers.ts +++ b/client/src/components/settings/integrations-section/use-integration-handlers.ts @@ -42,8 +42,9 @@ export function useIntegrationHandlers({ const { createProvider: createOidcProvider, updateProvider: updateOidcProvider } = useOidcProviders(); const workspaceId = currentWorkspace?.id ?? IdentityDefaults.DEFAULT_WORKSPACE_ID; + const isWorkspaceAdmin = + currentWorkspace?.role === 'owner' || currentWorkspace?.role === 'admin'; const pendingOAuthIntegrationIdRef = useRef(null); - // Handle OAuth completion useEffect(() => { if ( @@ -66,6 +67,121 @@ export function useIntegrationHandlers({ } }, [oauthState.integrationId, oauthState.status, setIntegrations]); + useEffect(() => { + let cancelled = false; + + const syncCalendarOverrides = async () => { + const calendarIntegrations = preferences + .getIntegrations() + .filter((integration) => integration.type === 'calendar'); + + if (calendarIntegrations.length === 0) { + return; + } + + try { + const api = getAPI(); + for (const integration of calendarIntegrations) { + const provider = getCalendarProvider(integration); + if (!provider) { + continue; + } + const response = await api.getOAuthClientConfig({ + provider, + workspace_id: workspaceId, + integration_type: 'calendar', + }); + const config = response.config; + const existing = preferences + .getIntegrations() + .find((item) => item.id === integration.id); + if (!existing) { + continue; + } + const mergedOAuthConfig = { + ...existing.oauth_config, + client_id: config.client_id || existing.oauth_config?.client_id || '', + redirect_uri: config.redirect_uri || existing.oauth_config?.redirect_uri || '', + scopes: + config.scopes?.length && config.scopes.length > 0 + ? config.scopes + : existing.oauth_config?.scopes || [], + client_secret: existing.oauth_config?.client_secret ?? '', + }; + + preferences.updateIntegration(existing.id, { + oauth_config: mergedOAuthConfig, + oauth_override_enabled: config.override_enabled, + oauth_override_has_secret: + config.has_client_secret ?? existing.oauth_override_has_secret, + }); + } + } catch { + return; + } + + if (!cancelled) { + setIntegrations(preferences.getIntegrations()); + } + }; + + void syncCalendarOverrides(); + + return () => { + cancelled = true; + }; + }, [setIntegrations, workspaceId]); + + const syncCalendarOAuthConfig = useCallback( + async (integration: Integration) => { + if (!isWorkspaceAdmin) { + return; + } + const provider = getCalendarProvider(integration); + if (!provider) { + return; + } + const oauthConfig = integration.oauth_config || { + client_id: '', + client_secret: '', + redirect_uri: '', + scopes: [], + }; + + const clientSecret = oauthConfig.client_secret?.trim(); + + try { + const api = getAPI(); + const response = await api.setOAuthClientConfig({ + provider, + workspace_id: workspaceId, + integration_type: 'calendar', + config: { + client_id: oauthConfig.client_id, + client_secret: clientSecret || undefined, + redirect_uri: oauthConfig.redirect_uri, + scopes: oauthConfig.scopes, + override_enabled: Boolean(integration.oauth_override_enabled), + has_client_secret: integration.oauth_override_has_secret, + }, + }); + + if (response.success && clientSecret) { + preferences.updateIntegration(integration.id, { + oauth_override_has_secret: true, + }); + } + } catch (error) { + toastError({ + title: 'OAuth config update failed', + error, + fallback: 'Failed to update OAuth credentials', + }); + } + }, + [isWorkspaceAdmin, workspaceId] + ); + const handleIntegrationToggle = useCallback( (integration: Integration) => { if ( @@ -106,10 +222,14 @@ export function useIntegrationHandlers({ return; } + if (integration.oauth_override_enabled) { + await syncCalendarOAuthConfig(integration); + } + pendingOAuthIntegrationIdRef.current = integration.id; await initiateAuth(provider); }, - [initiateAuth] + [initiateAuth, syncCalendarOAuthConfig] ); const handleCalendarDisconnect = useCallback( @@ -176,6 +296,14 @@ export function useIntegrationHandlers({ await saveSecrets(updatedIntegration); } + if ( + updatedIntegration?.type === 'calendar' && + (config.oauth_config !== undefined || config.oauth_override_enabled !== undefined) + ) { + await syncCalendarOAuthConfig(updatedIntegration); + updatedIntegrations = preferences.getIntegrations(); + } + // For OIDC integrations with complete config, register with backend if ( updatedIntegration?.type === 'oidc' && @@ -228,6 +356,7 @@ export function useIntegrationHandlers({ encryptionAvailable, saveSecrets, setIntegrations, + syncCalendarOAuthConfig, updateOidcProvider, workspaceId, ] diff --git a/client/src/lib/integration-utils.test.ts b/client/src/lib/integration-utils.test.ts index 35c28dd..addec53 100644 --- a/client/src/lib/integration-utils.test.ts +++ b/client/src/lib/integration-utils.test.ts @@ -67,9 +67,10 @@ describe('integration-utils', () => { }); it('validates required fields for calendar integrations', () => { - const invalidCalendar: Integration = { + const overrideMissingSecret: Integration = { ...baseIntegration, type: 'calendar', + oauth_override_enabled: true, oauth_config: { client_id: 'id', client_secret: '', @@ -77,9 +78,10 @@ describe('integration-utils', () => { scopes: [], }, }; - const validCalendar: Integration = { + const overrideWithSecret: Integration = { ...baseIntegration, type: 'calendar', + oauth_override_enabled: true, oauth_config: { client_id: 'id', client_secret: 'secret', @@ -87,9 +89,28 @@ describe('integration-utils', () => { scopes: [], }, }; + const overrideWithServerSecret: Integration = { + ...baseIntegration, + type: 'calendar', + oauth_override_enabled: true, + oauth_override_has_secret: true, + oauth_config: { + client_id: 'id', + client_secret: '', + redirect_uri: 'http://localhost', + scopes: [], + }, + }; + const defaultCalendar: Integration = { + ...baseIntegration, + type: 'calendar', + oauth_override_enabled: false, + }; - expect(hasRequiredIntegrationFields(invalidCalendar)).toBe(false); - expect(hasRequiredIntegrationFields(validCalendar)).toBe(true); + expect(hasRequiredIntegrationFields(overrideMissingSecret)).toBe(false); + expect(hasRequiredIntegrationFields(overrideWithSecret)).toBe(true); + expect(hasRequiredIntegrationFields(overrideWithServerSecret)).toBe(true); + expect(hasRequiredIntegrationFields(defaultCalendar)).toBe(true); }); it('validates required fields for pkm integrations', () => { diff --git a/client/src/lib/integration-utils.ts b/client/src/lib/integration-utils.ts index ac6448c..b053f13 100644 --- a/client/src/lib/integration-utils.ts +++ b/client/src/lib/integration-utils.ts @@ -33,7 +33,14 @@ export function hasRequiredIntegrationFields(integration: Integration): boolean ? !!integration.email_config?.api_key : !!(integration.email_config?.smtp_host && integration.email_config?.smtp_username); case 'calendar': - return !!(integration.oauth_config?.client_id && integration.oauth_config?.client_secret); + if (integration.oauth_override_enabled) { + const hasClientId = Boolean(integration.oauth_config?.client_id); + const hasSecret = + Boolean(integration.oauth_config?.client_secret) || + Boolean(integration.oauth_override_has_secret); + return hasClientId && hasSecret; + } + return true; case 'pkm': return !!(integration.pkm_config?.api_key || integration.pkm_config?.vault_path); case 'custom': diff --git a/docker/Dockerfile.rocm b/docker/Dockerfile.rocm new file mode 100644 index 0000000..e3caebf --- /dev/null +++ b/docker/Dockerfile.rocm @@ -0,0 +1,72 @@ +# NoteFlow ROCm Docker Image +# For AMD GPU support using PyTorch ROCm +# +# Build: +# docker build -f docker/Dockerfile.rocm -t noteflow:rocm . +# +# Run (with GPU access): +# docker run --device=/dev/kfd --device=/dev/dri --group-add video \ +# --security-opt seccomp=unconfined \ +# -v /path/to/models:/app/models \ +# noteflow:rocm + +ARG ROCM_VERSION=6.2 +FROM rocm/pytorch:rocm${ROCM_VERSION}_ubuntu22.04_py3.10_pytorch_release_2.3.0 + +LABEL maintainer="NoteFlow Team" +LABEL description="NoteFlow with ROCm GPU support for AMD GPUs" + +# Set working directory +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + pkg-config \ + portaudio19-dev \ + libsndfile1 \ + ffmpeg \ + git \ + && rm -rf /var/lib/apt/lists/* + +# Upgrade pip +RUN pip install --no-cache-dir --upgrade pip uv + +# Copy project files +COPY pyproject.toml ./ +COPY src ./src/ + +# Install NoteFlow with ROCm extras +RUN uv pip install --system -e ".[rocm]" + +# Install openai-whisper for PyTorch Whisper fallback +RUN uv pip install --system openai-whisper + +# Optionally install CTranslate2-ROCm fork for faster inference +# Uncomment the following line if you have access to the fork: +# RUN pip install --no-cache-dir git+https://github.com/arlo-phoenix/CTranslate2-rocm.git +# RUN pip install --no-cache-dir faster-whisper + +# Create models directory +RUN mkdir -p /app/models + +# Environment variables for ROCm +ENV ROCM_PATH=/opt/rocm +ENV HIP_VISIBLE_DEVICES=0 +ENV HSA_OVERRIDE_GFX_VERSION="" + +# Environment variables for NoteFlow +ENV NOTEFLOW_ASR_DEVICE=rocm +ENV NOTEFLOW_ASR_MODEL_SIZE=base +ENV NOTEFLOW_ASR_COMPUTE_TYPE=float16 +ENV NOTEFLOW_FEATURE_ROCM_ENABLED=true + +# gRPC server port +EXPOSE 50051 + +# Health check +HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ + CMD python -c "import grpc; channel = grpc.insecure_channel('localhost:50051'); grpc.channel_ready_future(channel).result(timeout=5)" || exit 1 + +# Run gRPC server +CMD ["python", "-m", "noteflow.grpc.server"] diff --git a/docs/guides/rocm-setup.md b/docs/guides/rocm-setup.md new file mode 100644 index 0000000..1065a5c --- /dev/null +++ b/docs/guides/rocm-setup.md @@ -0,0 +1,247 @@ +# ROCm GPU Support for AMD GPUs + +NoteFlow supports GPU-accelerated ASR (Automatic Speech Recognition) on AMD GPUs using ROCm (Radeon Open Compute). This guide covers installation, configuration, and troubleshooting. + +## Overview + +ROCm support provides: +- GPU-accelerated Whisper transcription on AMD GPUs +- Automatic fallback to PyTorch Whisper when CTranslate2-ROCm unavailable +- Similar performance to CUDA on supported AMD architectures + +## Supported Hardware + +### Officially Supported AMD GPUs + +**CDNA (Instinct Datacenter)** +- MI50 (gfx906) +- MI100 (gfx908) +- MI210, MI250, MI250X (gfx90a) +- MI300X, MI300A (gfx942) + +**RDNA 2 (Consumer/Workstation)** +- RX 6800, 6800 XT, 6900 XT (gfx1030) +- RX 6700 XT (gfx1031) +- RX 6600, 6600 XT (gfx1032) + +**RDNA 3 (Consumer/Workstation)** +- RX 7900 XTX, 7900 XT (gfx1100) +- RX 7800 XT, 7700 XT (gfx1101) +- RX 7600 (gfx1102) + +### Using Unsupported GPUs + +For unsupported GPUs, you can use `HSA_OVERRIDE_GFX_VERSION` to force compatibility: + +```bash +# Example: Force gfx1030 compatibility for an unsupported RDNA2 GPU +export HSA_OVERRIDE_GFX_VERSION=10.3.0 +``` + +**Warning**: Using unsupported GPUs may cause instability or incorrect results. + +## Installation + +### Prerequisites + +1. **AMD GPU** with ROCm support +2. **Linux** (Ubuntu 22.04 recommended) +3. **Python 3.10+** +4. **ROCm 6.0+** installed + +### Step 1: Install ROCm + +Follow AMD's official ROCm installation guide: +https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html + +```bash +# Ubuntu 22.04 quick install +sudo apt update +sudo apt install rocm-hip-runtime rocm-dev + +# Add user to video and render groups +sudo usermod -a -G video,render $USER + +# Verify installation +rocminfo +``` + +### Step 2: Install PyTorch with ROCm + +```bash +# Install PyTorch with ROCm 6.2 support +pip install torch --index-url https://download.pytorch.org/whl/rocm6.2 +``` + +Verify PyTorch ROCm: +```python +import torch +print(f"CUDA available: {torch.cuda.is_available()}") +print(f"HIP version: {torch.version.hip}") +print(f"Device: {torch.cuda.get_device_name(0)}") +``` + +### Step 3: Install NoteFlow with ROCm Extras + +```bash +# Install NoteFlow with ROCm support +pip install -e ".[rocm]" +``` + +### Step 4 (Optional): Install CTranslate2-ROCm + +For faster inference, install the CTranslate2-ROCm fork: + +```bash +# Install CTranslate2-ROCm fork +pip install git+https://github.com/arlo-phoenix/CTranslate2-rocm.git + +# Install faster-whisper +pip install faster-whisper +``` + +**Note**: Without CTranslate2-ROCm, NoteFlow uses PyTorch Whisper which is slower but universally compatible. + +## Configuration + +### Environment Variables + +```bash +# Enable ROCm device +export NOTEFLOW_ASR_DEVICE=rocm + +# Set model size +export NOTEFLOW_ASR_MODEL_SIZE=base # tiny, base, small, medium, large-v3 + +# Set compute precision +export NOTEFLOW_ASR_COMPUTE_TYPE=float16 # float16, float32 + +# Feature flag (enabled by default) +export NOTEFLOW_FEATURE_ROCM_ENABLED=true +``` + +### ROCm-Specific Environment Variables + +```bash +# Visible GPU devices (comma-separated indices) +export HIP_VISIBLE_DEVICES=0 + +# Override GPU architecture (for unsupported GPUs) +export HSA_OVERRIDE_GFX_VERSION=10.3.0 + +# Debugging +export AMD_LOG_LEVEL=1 # 0=off, 1=errors, 2=warnings, 3=info +``` + +## Docker Usage + +### Build ROCm Image + +```bash +docker build -f docker/Dockerfile.rocm -t noteflow:rocm . +``` + +### Run with GPU Access + +```bash +docker run \ + --device=/dev/kfd \ + --device=/dev/dri \ + --group-add video \ + --security-opt seccomp=unconfined \ + -p 50051:50051 \ + noteflow:rocm +``` + +## Troubleshooting + +### "ROCm/CUDA not available" Error + +1. Verify ROCm installation: + ```bash + rocminfo + ``` + +2. Check PyTorch sees the GPU: + ```python + import torch + print(torch.cuda.is_available()) + ``` + +3. Ensure user is in video group: + ```bash + groups + # Should include: video, render + ``` + +### "Architecture not supported" Warning + +NoteFlow falls back to CPU if your GPU architecture isn't officially supported. + +**Solutions**: +1. Use `HSA_OVERRIDE_GFX_VERSION` (risky) +2. Use CPU mode with `NOTEFLOW_ASR_DEVICE=cpu` +3. Use the PyTorch Whisper fallback (automatic) + +### CTranslate2-ROCm Build Failures + +The CTranslate2-ROCm fork requires: +- ROCm 5.4+ (6.0+ recommended) +- CMake 3.18+ +- GCC/G++ 10+ + +If build fails, use PyTorch Whisper instead (automatic fallback). + +### Memory Issues + +Large models require significant VRAM: + +| Model | VRAM (float16) | VRAM (float32) | +|-------|---------------|----------------| +| tiny | ~1 GB | ~2 GB | +| base | ~1 GB | ~2 GB | +| small | ~2 GB | ~4 GB | +| medium| ~5 GB | ~10 GB | +| large | ~10 GB | ~20 GB | + +If you run out of VRAM: +1. Use a smaller model +2. Use `float16` compute type +3. Close other GPU applications + +### Performance Comparison + +Approximate performance (relative to CPU): + +| Backend | Speedup | +|---------|---------| +| CPU (int8) | 1x (baseline) | +| ROCm PyTorch (float16) | 3-5x | +| ROCm CTranslate2 (float16) | 8-12x | +| CUDA CTranslate2 (float16) | 10-15x | + +*Results vary by GPU model and audio length.* + +## Verifying ROCm Support + +Run the following to check ROCm detection: + +```python +from noteflow.infrastructure.gpu import detect_gpu_backend, get_gpu_info + +backend = detect_gpu_backend() +print(f"GPU Backend: {backend}") + +info = get_gpu_info() +if info: + print(f"Device: {info.device_name}") + print(f"VRAM: {info.vram_total_mb} MB") + print(f"Architecture: {info.architecture}") +``` + +## Additional Resources + +- [AMD ROCm Documentation](https://rocm.docs.amd.com/) +- [PyTorch ROCm](https://pytorch.org/get-started/locally/) +- [CTranslate2-ROCm Fork](https://github.com/arlo-phoenix/CTranslate2-rocm) +- [faster-whisper](https://github.com/SYSTRAN/faster-whisper) diff --git a/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/IMPLEMENTATION_CHECKLIST.md b/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/IMPLEMENTATION_CHECKLIST.md index 89beb82..953bb88 100644 --- a/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/IMPLEMENTATION_CHECKLIST.md +++ b/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/IMPLEMENTATION_CHECKLIST.md @@ -2,66 +2,68 @@ This checklist tracks the implementation progress for Sprint 18.5. +**Status: ✅ COMPLETE** (Verified 2025-01-18) + --- ## Phase 1: Device Abstraction Layer ### 1.1 GPU Detection Module -- [ ] Create `src/noteflow/infrastructure/gpu/__init__.py` -- [ ] Create `src/noteflow/infrastructure/gpu/detection.py` - - [ ] Implement `GpuBackend` enum (NONE, CUDA, ROCM, MPS) - - [ ] Implement `GpuInfo` dataclass - - [ ] Implement `detect_gpu_backend()` function - - [ ] Implement `get_gpu_info()` function - - [ ] Add ROCm version detection via `torch.version.hip` -- [ ] Create `tests/infrastructure/gpu/test_detection.py` - - [ ] Test no-torch case - - [ ] Test CUDA detection - - [ ] Test ROCm detection (HIP check) - - [ ] Test MPS detection - - [ ] Test CPU fallback +- [x] Create `src/noteflow/infrastructure/gpu/__init__.py` +- [x] Create `src/noteflow/infrastructure/gpu/detection.py` + - [x] Implement `GpuBackend` enum (NONE, CUDA, ROCM, MPS) + - [x] Implement `GpuInfo` dataclass + - [x] Implement `detect_gpu_backend()` function + - [x] Implement `get_gpu_info()` function + - [x] Add ROCm version detection via `torch.version.hip` +- [x] Create `tests/infrastructure/gpu/test_detection.py` + - [x] Test no-torch case + - [x] Test CUDA detection + - [x] Test ROCm detection (HIP check) + - [x] Test MPS detection + - [x] Test CPU fallback ### 1.2 Domain Types -- [ ] Create `src/noteflow/domain/ports/gpu.py` - - [ ] Export `GpuBackend` enum - - [ ] Export `GpuInfo` type - - [ ] Define `GpuDetectionProtocol` +- [x] Create `src/noteflow/domain/ports/gpu.py` + - [x] Export `GpuBackend` enum + - [x] Export `GpuInfo` type + - [x] Define `GpuDetectionProtocol` ### 1.3 ASR Device Types -- [ ] Update `src/noteflow/application/services/asr_config/types.py` - - [ ] Add `ROCM = "rocm"` to `AsrDevice` enum - - [ ] Add ROCm entry to `DEVICE_COMPUTE_TYPES` mapping - - [ ] Update `AsrCapabilities` dataclass with `rocm_available` and `gpu_backend` fields +- [x] Update `src/noteflow/application/services/asr_config/types.py` + - [x] Add `ROCM = "rocm"` to `AsrDevice` enum + - [x] Add ROCm entry to `DEVICE_COMPUTE_TYPES` mapping + - [x] Update `AsrCapabilities` dataclass with `rocm_available` and `gpu_backend` fields ### 1.4 Diarization Device Mixin -- [ ] Update `src/noteflow/infrastructure/diarization/engine/_device_mixin.py` - - [ ] Add ROCm detection in `_detect_available_device()` - - [ ] Maintain backward compatibility with "cuda" device string +- [x] Update `src/noteflow/infrastructure/diarization/engine/_device_mixin.py` + - [x] Add ROCm detection in `_detect_available_device()` + - [x] Maintain backward compatibility with "cuda" device string ### 1.5 System Metrics -- [ ] Update `src/noteflow/infrastructure/metrics/system_resources.py` - - [ ] Handle ROCm VRAM queries (same API as CUDA via HIP) - - [ ] Add `gpu_backend` field to metrics +- [x] Update `src/noteflow/infrastructure/metrics/system_resources.py` + - [x] Handle ROCm VRAM queries (same API as CUDA via HIP) + - [x] Add `gpu_backend` field to metrics ### 1.6 gRPC Proto -- [ ] Update `src/noteflow/grpc/proto/noteflow.proto` - - [ ] Add `ASR_DEVICE_ROCM = 3` to `AsrDevice` enum - - [ ] Add `rocm_available` field to `AsrConfiguration` - - [ ] Add `gpu_backend` field to `AsrConfiguration` -- [ ] Regenerate Python stubs -- [ ] Run `scripts/patch_grpc_stubs.py` +- [x] Update `src/noteflow/grpc/proto/noteflow.proto` + - [x] Add `ASR_DEVICE_ROCM = 3` to `AsrDevice` enum + - [x] Add `rocm_available` field to `AsrConfiguration` + - [x] Add `gpu_backend` field to `AsrConfiguration` +- [x] Regenerate Python stubs +- [x] Run `scripts/patch_grpc_stubs.py` ### 1.7 Phase 1 Tests -- [ ] Run `pytest tests/infrastructure/gpu/` -- [ ] Run `make quality-py` -- [ ] Verify no regressions in CUDA detection +- [x] Run `pytest tests/infrastructure/gpu/` +- [x] Run `make quality-py` +- [x] Verify no regressions in CUDA detection --- @@ -69,65 +71,65 @@ This checklist tracks the implementation progress for Sprint 18.5. ### 2.1 Engine Protocol Definition -- [ ] Extend `src/noteflow/infrastructure/asr/protocols.py` (or relocate to `domain/ports`) - - [ ] Reuse `AsrResult` / `WordTiming` from `infrastructure/asr/dto.py` - - [ ] Add `device` property (logical device: cpu/cuda/rocm) - - [ ] Add `compute_type` property - - [ ] Confirm `model_size` + `is_loaded` already covered - - [ ] Add optional `transcribe_file()` helper (if needed) +- [x] Extend `src/noteflow/infrastructure/asr/protocols.py` (or relocate to `domain/ports`) + - [x] Reuse `AsrResult` / `WordTiming` from `infrastructure/asr/dto.py` + - [x] Add `device` property (logical device: cpu/cuda/rocm) + - [x] Add `compute_type` property + - [x] Confirm `model_size` + `is_loaded` already covered + - [x] Add optional `transcribe_file()` helper (if needed) ### 2.2 Refactor FasterWhisperEngine -- [ ] Update `src/noteflow/infrastructure/asr/engine.py` - - [ ] Ensure compliance with `AsrEngine` - - [ ] Add explicit type annotations - - [ ] Document as CUDA/CPU backend -- [ ] Create `tests/infrastructure/asr/test_protocol_compliance.py` - - [ ] Verify `FasterWhisperEngine` implements protocol +- [x] Update `src/noteflow/infrastructure/asr/engine.py` + - [x] Ensure compliance with `AsrEngine` + - [x] Add explicit type annotations + - [x] Document as CUDA/CPU backend +- [x] Create `tests/infrastructure/asr/test_protocol_compliance.py` + - [x] Verify `FasterWhisperEngine` implements protocol ### 2.3 PyTorch Whisper Engine (Fallback) -- [ ] Create `src/noteflow/infrastructure/asr/pytorch_engine.py` - - [ ] Implement `WhisperPyTorchEngine` class - - [ ] Implement all protocol methods - - [ ] Handle device placement (cuda/rocm/cpu) - - [ ] Support all compute types -- [ ] Create `tests/infrastructure/asr/test_pytorch_engine.py` - - [ ] Test model loading - - [ ] Test transcription - - [ ] Test device handling +- [x] Create `src/noteflow/infrastructure/asr/pytorch_engine.py` + - [x] Implement `WhisperPyTorchEngine` class + - [x] Implement all protocol methods + - [x] Handle device placement (cuda/rocm/cpu) + - [x] Support all compute types +- [x] Create `tests/infrastructure/asr/test_pytorch_engine.py` + - [x] Test model loading + - [x] Test transcription + - [x] Test device handling ### 2.4 Engine Factory -- [ ] Create `src/noteflow/infrastructure/asr/factory.py` - - [ ] Implement `create_asr_engine()` function - - [ ] Implement `_resolve_device()` helper - - [ ] Implement `_create_cpu_engine()` helper - - [ ] Implement `_create_cuda_engine()` helper - - [ ] Implement `_create_rocm_engine()` helper - - [ ] Define `EngineCreationError` exception -- [ ] Create `tests/infrastructure/asr/test_factory.py` - - [ ] Test auto device resolution - - [ ] Test explicit device selection - - [ ] Test fallback behavior - - [ ] Test error cases +- [x] Create `src/noteflow/infrastructure/asr/factory.py` + - [x] Implement `create_asr_engine()` function + - [x] Implement `_resolve_device()` helper + - [x] Implement `_create_cpu_engine()` helper + - [x] Implement `_create_cuda_engine()` helper + - [x] Implement `_create_rocm_engine()` helper + - [x] Define `EngineCreationError` exception +- [x] Create `tests/infrastructure/asr/test_factory.py` + - [x] Test auto device resolution + - [x] Test explicit device selection + - [x] Test fallback behavior + - [x] Test error cases ### 2.5 Update Engine Manager -- [ ] Update `src/noteflow/application/services/asr_config/_engine_manager.py` - - [ ] Add `detect_rocm_available()` method - - [ ] Update `build_capabilities()` for ROCm - - [ ] Update `check_configuration()` for ROCm validation - - [ ] Use factory for engine creation in `build_engine_for_job()` -- [ ] Update `tests/application/test_asr_config_service.py` - - [ ] Add ROCm detection tests - - [ ] Add ROCm validation tests +- [x] Update `src/noteflow/application/services/asr_config/_engine_manager.py` + - [x] Add `detect_rocm_available()` method + - [x] Update `build_capabilities()` for ROCm + - [x] Update `check_configuration()` for ROCm validation + - [x] Use factory for engine creation in `build_engine_for_job()` +- [x] Update `tests/application/test_asr_config_service.py` + - [x] Add ROCm detection tests + - [x] Add ROCm validation tests ### 2.6 Phase 2 Tests -- [ ] Run full ASR test suite -- [ ] Run `make quality-py` -- [ ] Verify CUDA path unchanged +- [x] Run full ASR test suite +- [x] Run `make quality-py` +- [x] Verify CUDA path unchanged --- @@ -135,34 +137,34 @@ This checklist tracks the implementation progress for Sprint 18.5. ### 3.1 ROCm Engine Implementation -- [ ] Create `src/noteflow/infrastructure/asr/rocm_engine.py` - - [ ] Implement `FasterWhisperRocmEngine` class - - [ ] Handle CTranslate2-ROCm import with fallback - - [ ] Implement all protocol methods - - [ ] Add ROCm-specific optimizations -- [ ] Create `tests/infrastructure/asr/test_rocm_engine.py` - - [ ] Test import fallback behavior - - [ ] Test engine creation (mock) - - [ ] Test protocol compliance +- [x] Create `src/noteflow/infrastructure/asr/rocm_engine.py` + - [x] Implement `FasterWhisperRocmEngine` class + - [x] Handle CTranslate2-ROCm import with fallback + - [x] Implement all protocol methods + - [x] Add ROCm-specific optimizations +- [x] Create `tests/infrastructure/asr/test_rocm_engine.py` + - [x] Test import fallback behavior + - [x] Test engine creation (mock) + - [x] Test protocol compliance ### 3.2 Update Factory for ROCm -- [ ] Update `src/noteflow/infrastructure/asr/factory.py` - - [ ] Add ROCm engine import with graceful fallback - - [ ] Log warning when falling back to PyTorch -- [ ] Update factory tests for ROCm path +- [x] Update `src/noteflow/infrastructure/asr/factory.py` + - [x] Add ROCm engine import with graceful fallback + - [x] Log warning when falling back to PyTorch +- [x] Update factory tests for ROCm path ### 3.3 ROCm Installation Detection -- [ ] Update `src/noteflow/infrastructure/gpu/detection.py` - - [ ] Add `is_ctranslate2_rocm_available()` function - - [ ] Add `get_rocm_version()` function -- [ ] Add corresponding tests +- [x] Update `src/noteflow/infrastructure/gpu/detection.py` + - [x] Add `is_ctranslate2_rocm_available()` function + - [x] Add `get_rocm_version()` function +- [x] Add corresponding tests ### 3.4 Phase 3 Tests -- [ ] Run ROCm-specific tests (skip if no ROCm) -- [ ] Run `make quality-py` +- [x] Run ROCm-specific tests (skip if no ROCm) +- [x] Run `make quality-py` - [ ] Test on AMD hardware (if available) --- @@ -171,52 +173,52 @@ This checklist tracks the implementation progress for Sprint 18.5. ### 4.1 Feature Flag -- [ ] Update `src/noteflow/config/settings/_features.py` - - [ ] Add `NOTEFLOW_FEATURE_ROCM_ENABLED` flag - - [ ] Document in settings -- [ ] Update any feature flag guards +- [x] Update `src/noteflow/config/settings/_features.py` + - [x] Add `NOTEFLOW_FEATURE_ROCM_ENABLED` flag + - [x] Document in settings +- [x] Update any feature flag guards ### 4.2 gRPC Config Handlers -- [ ] Update `src/noteflow/grpc/mixins/asr_config.py` - - [ ] Handle ROCm device in `GetAsrConfiguration()` - - [ ] Handle ROCm device in `UpdateAsrConfiguration()` - - [ ] Add ROCm to capabilities response -- [ ] Update tests in `tests/grpc/test_asr_config.py` +- [x] Update `src/noteflow/grpc/mixins/asr_config.py` + - [x] Handle ROCm device in `GetAsrConfiguration()` + - [x] Handle ROCm device in `UpdateAsrConfiguration()` + - [x] Add ROCm to capabilities response +- [x] Update tests in `tests/grpc/test_asr_config.py` ### 4.3 Dependencies -- [ ] Update `pyproject.toml` - - [ ] Add `rocm` extras group - - [ ] Add `openai-whisper` as optional dependency - - [ ] Document ROCm installation in comments -- [ ] Create `requirements-rocm.txt` (optional) +- [x] Update `pyproject.toml` + - [x] Add `rocm` extras group + - [x] Add `openai-whisper` as optional dependency + - [x] Document ROCm installation in comments +- [x] Create `requirements-rocm.txt` (optional) ### 4.4 Docker ROCm Image -- [ ] Create `docker/Dockerfile.rocm` - - [ ] Base on `rocm/pytorch` image - - [ ] Install NoteFlow with ROCm extras - - [ ] Configure for GPU access -- [ ] Update `compose.yaml` (and/or add `compose.rocm.yaml`) with ROCm profile -- [ ] Test Docker image build +- [x] Create `docker/Dockerfile.rocm` + - [x] Base on `rocm/pytorch` image + - [x] Install NoteFlow with ROCm extras + - [x] Configure for GPU access +- [x] Update `compose.yaml` (and/or add `compose.rocm.yaml`) with ROCm profile +- [x] Test Docker image build ### 4.5 Documentation -- [ ] Create `docs/installation/rocm.md` - - [ ] System requirements - - [ ] PyTorch ROCm installation - - [ ] CTranslate2-ROCm installation (optional) - - [ ] Docker usage - - [ ] Troubleshooting -- [ ] Update main README with ROCm section -- [ ] Update `CLAUDE.md` with ROCm notes +- [x] Create `docs/guides/rocm-setup.md` + - [x] System requirements + - [x] PyTorch ROCm installation + - [x] CTranslate2-ROCm installation (optional) + - [x] Docker usage + - [x] Troubleshooting +- [x] Update main README with ROCm section +- [x] Update `CLAUDE.md` with ROCm notes ### 4.6 Phase 4 Tests -- [ ] Run full test suite -- [ ] Run `make quality` -- [ ] Build ROCm Docker image +- [x] Run full test suite +- [x] Run `make quality` +- [x] Build ROCm Docker image - [ ] Test on AMD hardware --- @@ -225,28 +227,28 @@ This checklist tracks the implementation progress for Sprint 18.5. ### Quality Gates -- [ ] `pytest tests/quality/` passes -- [ ] `make quality-py` passes -- [ ] `make quality` passes (full stack) -- [ ] Proto regenerated correctly -- [ ] No type errors (`basedpyright`) -- [ ] No lint errors (`ruff`) +- [x] `pytest tests/quality/` passes (90 tests) +- [x] `make quality-py` passes +- [x] `make quality` passes (full stack) +- [x] Proto regenerated correctly +- [x] No type errors (`basedpyright`) +- [x] No lint errors (`ruff`) ### Functional Validation -- [ ] CUDA path works (no regression) -- [ ] CPU path works (no regression) -- [ ] ROCm detection works -- [ ] PyTorch fallback works -- [ ] gRPC configuration works -- [ ] Device switching works +- [x] CUDA path works (no regression) +- [x] CPU path works (no regression) +- [x] ROCm detection works +- [x] PyTorch fallback works +- [x] gRPC configuration works +- [x] Device switching works ### Documentation -- [ ] Sprint README complete -- [ ] Implementation checklist complete -- [ ] Installation guide complete -- [ ] API documentation updated +- [x] Sprint README complete +- [x] Implementation checklist complete +- [x] Installation guide complete +- [x] API documentation updated --- @@ -256,27 +258,44 @@ This checklist tracks the implementation progress for Sprint 18.5. | File | Status | |------|--------| -| `src/noteflow/domain/ports/gpu.py` | ❌ | -| `src/noteflow/domain/ports/asr.py` | optional (only if relocating protocol) | -| `src/noteflow/infrastructure/gpu/__init__.py` | ❌ | -| `src/noteflow/infrastructure/gpu/detection.py` | ❌ | -| `src/noteflow/infrastructure/asr/pytorch_engine.py` | ❌ | -| `src/noteflow/infrastructure/asr/rocm_engine.py` | ❌ | -| `src/noteflow/infrastructure/asr/factory.py` | ❌ | -| `docker/Dockerfile.rocm` | ❌ | -| `docs/installation/rocm.md` | ❌ | +| `src/noteflow/domain/ports/gpu.py` | ✅ | +| `src/noteflow/domain/ports/asr.py` | N/A (using existing protocols.py) | +| `src/noteflow/infrastructure/gpu/__init__.py` | ✅ | +| `src/noteflow/infrastructure/gpu/detection.py` | ✅ | +| `src/noteflow/infrastructure/asr/pytorch_engine.py` | ✅ | +| `src/noteflow/infrastructure/asr/rocm_engine.py` | ✅ | +| `src/noteflow/infrastructure/asr/factory.py` | ✅ | +| `docker/Dockerfile.rocm` | ✅ | +| `docs/guides/rocm-setup.md` | ✅ | ### Files Modified | File | Status | |------|--------| -| `application/services/asr_config/types.py` | ❌ | -| `application/services/asr_config/_engine_manager.py` | ❌ | -| `infrastructure/diarization/engine/_device_mixin.py` | ❌ | -| `infrastructure/metrics/system_resources.py` | ❌ | -| `infrastructure/asr/engine.py` | ❌ | -| `infrastructure/asr/protocols.py` | ❌ | -| `grpc/proto/noteflow.proto` | ❌ | -| `grpc/mixins/asr_config.py` | ❌ | -| `config/settings/_features.py` | ❌ | -| `pyproject.toml` | ❌ | +| `application/services/asr_config/types.py` | ✅ | +| `application/services/asr_config/_engine_manager.py` | ✅ | +| `infrastructure/diarization/engine/_device_mixin.py` | ✅ | +| `infrastructure/metrics/system_resources.py` | ✅ | +| `infrastructure/asr/engine.py` | ✅ | +| `infrastructure/asr/protocols.py` | ✅ | +| `grpc/proto/noteflow.proto` | ✅ | +| `grpc/mixins/asr_config.py` | ✅ | +| `config/settings/_features.py` | ✅ | +| `pyproject.toml` | ✅ | + +### Test Results (2025-01-18) + +- **GPU Detection Tests**: 40 passed +- **ASR Factory Tests**: 14 passed +- **Quality Tests**: 90 passed +- **Total ROCm-related Tests**: 54 passed +- **Type Checking**: 0 errors, 0 warnings, 0 notes + +### Remaining Hardware Validation + +The implementation is complete and tested with mocks. Full validation on actual AMD hardware is recommended when available: + +- [ ] Test on AMD Instinct (MI series) datacenter GPU +- [ ] Test on AMD Radeon RX 7000 series (RDNA3) +- [ ] Test on AMD Radeon RX 6000 series (RDNA2) +- [ ] Benchmark ROCm vs CUDA performance diff --git a/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/README.md b/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/README.md index 4ffb776..b7a779c 100644 --- a/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/README.md +++ b/docs/sprints/phase-5-evolution/sprint-18.5-rocm-support/README.md @@ -5,39 +5,45 @@ --- -## Validation Status (2025-01-17) +## Validation Status (2025-01-18) -### Research Complete — Implementation Ready +### ✅ Implementation Complete -Note: Hardware/driver compatibility and ROCm wheel availability are time-sensitive. -Re-verify against AMD ROCm compatibility matrices and PyTorch ROCm install guidance -before implementation. +All components have been implemented and tested. Hardware validation on AMD GPUs +is recommended when available. -### Repo Alignment Notes (current tree) +### Repo Alignment Notes -- ASR protocol already exists at `src/noteflow/infrastructure/asr/protocols.py` and - returns `AsrResult` from `src/noteflow/infrastructure/asr/dto.py`. Extend these - instead of adding parallel `domain/ports/asr.py` types unless we plan a broader - layering refactor. -- gRPC mixins live under `src/noteflow/grpc/mixins/` (not `_mixins`). -- Tests live under `tests/infrastructure/` and `tests/application/` (no `tests/unit/`). +- ASR protocol exists at `src/noteflow/infrastructure/asr/protocols.py` and + returns `AsrResult` from `src/noteflow/infrastructure/asr/dto.py`. +- gRPC mixins live under `src/noteflow/grpc/mixins/`. +- Tests live under `tests/infrastructure/` and `tests/application/`. | Prerequisite | Status | Impact | |--------------|--------|--------| | PyTorch ROCm support | ✅ Available | PyTorch HIP layer works with existing `torch.cuda` API | -| CTranslate2 ROCm support | ⚠️ Community fork | No official support; requires alternative engine strategy | +| CTranslate2 ROCm support | ⚠️ Community fork | Using CTranslate2-ROCm fork with PyTorch fallback | | pyannote.audio ROCm support | ✅ Available | Pure PyTorch, works out of box | | diart ROCm support | ✅ Available | Pure PyTorch, works out of box | -| Component | Status | Notes | -|-----------|--------|-------| -| Device abstraction layer | ❌ Not implemented | Need `GpuBackend` enum | -| ASR engine protocol | ⚠️ Partial | AsrEngine exists; extend with device/compute metadata | -| ROCm detection | ❌ Not implemented | Need `torch.version.hip` check | -| gRPC proto updates | ❌ Not implemented | Need `ASR_DEVICE_ROCM` | -| PyTorch Whisper fallback | ❌ Not implemented | Fallback for universal compatibility | +| Component | Status | Location | +|-----------|--------|----------| +| Device abstraction layer | ✅ Implemented | `domain/ports/gpu.py`, `infrastructure/gpu/detection.py` | +| ASR engine protocol | ✅ Implemented | `infrastructure/asr/protocols.py` with device/compute metadata | +| ROCm detection | ✅ Implemented | `infrastructure/gpu/detection.py` via `torch.version.hip` | +| gRPC proto updates | ✅ Implemented | `ASR_DEVICE_ROCM`, `rocm_available`, `gpu_backend` fields | +| PyTorch Whisper fallback | ✅ Implemented | `infrastructure/asr/pytorch_engine.py` | +| ROCm-specific engine | ✅ Implemented | `infrastructure/asr/rocm_engine.py` | +| Engine factory | ✅ Implemented | `infrastructure/asr/factory.py` with auto-detection | +| Docker ROCm image | ✅ Implemented | `docker/Dockerfile.rocm` | +| Documentation | ✅ Implemented | `docs/guides/rocm-setup.md` | -**Action required**: Implement device abstraction layer and engine protocol pattern. +### Test Results (2025-01-18) + +- GPU Detection Tests: 40 passed +- ASR Factory Tests: 14 passed +- Quality Tests: 90 passed +- Type Checking: 0 errors, 0 warnings, 0 notes --- diff --git a/pyproject.toml b/pyproject.toml index 58859a7..37ad4df 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,6 +33,7 @@ dependencies = [ "structlog>=24.0", "sounddevice>=0.5.3", "spacy>=3.8.11", + "openai-whisper>=20250625", ] [project.optional-dependencies] @@ -76,6 +77,16 @@ calendar = [ "google-auth>=2.23", "google-auth-oauthlib>=1.1", ] +rocm = [ + # ROCm GPU support for AMD GPUs + # Requires PyTorch with ROCm support (install separately) + # pip install torch --index-url https://download.pytorch.org/whl/rocm6.2 +] +rocm-ctranslate2 = [ + # Optional: CTranslate2-ROCm for faster inference + # Install manually: pip install git+https://github.com/arlo-phoenix/CTranslate2-rocm.git + "faster-whisper>=1.0", +] observability = [ "opentelemetry-api>=1.28", "opentelemetry-sdk>=1.28", diff --git a/src/noteflow/application/services/asr_config/_engine_manager.py b/src/noteflow/application/services/asr_config/_engine_manager.py index 208308e..7622291 100644 --- a/src/noteflow/application/services/asr_config/_engine_manager.py +++ b/src/noteflow/application/services/asr_config/_engine_manager.py @@ -6,11 +6,14 @@ import asyncio from collections.abc import Awaitable, Callable from typing import TYPE_CHECKING +from noteflow.domain.ports.gpu import GpuBackend from noteflow.infrastructure.asr import VALID_MODEL_SIZES +from noteflow.infrastructure.gpu import detect_gpu_backend from noteflow.infrastructure.logging import get_logger from .types import ( DEVICE_COMPUTE_TYPES, + INVALID_MODEL_SIZE_PREFIX, AsrCapabilities, AsrComputeType, AsrConfigJob, @@ -18,22 +21,42 @@ from .types import ( ) if TYPE_CHECKING: - from noteflow.infrastructure.asr import FasterWhisperEngine + from noteflow.infrastructure.asr.protocols import AsrEngine logger = get_logger(__name__) +def _extract_engine_config( + engine: AsrEngine | None, +) -> tuple[AsrDevice, AsrComputeType]: + """Extract device and compute type from engine. + + Args: + engine: The ASR engine to extract config from, or None. + + Returns: + Tuple of (device, compute_type). + """ + if engine is None: + return AsrDevice.CPU, AsrComputeType.INT8 + + device_map = {AsrDevice.ROCM.value: AsrDevice.ROCM, AsrDevice.CUDA.value: AsrDevice.CUDA} + device = device_map.get(engine.device, AsrDevice.CPU) + return device, AsrComputeType(engine.compute_type) + + class AsrEngineManager: """Manage ASR engine lifecycle and capabilities. Handles engine creation, model loading, and capability detection. + Supports CUDA, ROCm, and CPU backends. """ def __init__( self, - asr_engine: FasterWhisperEngine | None, + asr_engine: AsrEngine | None, *, - on_engine_update: Callable[[FasterWhisperEngine], None] | None = None, + on_engine_update: Callable[[AsrEngine], None] | None = None, on_config_persist: Callable[[AsrCapabilities], Awaitable[None]] | None = None, ) -> None: """Initialize engine manager. @@ -49,7 +72,7 @@ class AsrEngineManager: self._reload_lock = asyncio.Lock() @property - def engine(self) -> FasterWhisperEngine | None: + def engine(self) -> AsrEngine | None: """Return the current ASR engine.""" return self._asr_engine @@ -64,12 +87,25 @@ class AsrEngineManager: Returns: True if CUDA is available, False otherwise. """ - try: - import torch + backend = detect_gpu_backend() + return backend == GpuBackend.CUDA - return torch.cuda.is_available() - except ImportError: - return False + def detect_rocm_available(self) -> bool: + """Detect if ROCm is available for ASR. + + Returns: + True if ROCm is available, False otherwise. + """ + backend = detect_gpu_backend() + return backend == GpuBackend.ROCM + + def detect_gpu_backend(self) -> GpuBackend: + """Detect the current GPU backend. + + Returns: + GpuBackend enum indicating the available backend. + """ + return detect_gpu_backend() def build_capabilities(self) -> AsrCapabilities: """Get current ASR configuration and capabilities. @@ -77,24 +113,20 @@ class AsrEngineManager: Returns: Current ASR configuration including available options. """ - cuda_available = self.detect_cuda_available() - current_device = AsrDevice.CPU - current_compute_type = AsrComputeType.INT8 - - # Capture engine reference to avoid race between null check and attribute access + backend = detect_gpu_backend() engine = self._asr_engine - if engine is not None: - current_device = AsrDevice(engine.device) - current_compute_type = AsrComputeType(engine.compute_type) + current_device, current_compute_type = _extract_engine_config(engine) return AsrCapabilities( model_size=engine.model_size if engine else None, device=current_device, compute_type=current_compute_type, is_ready=engine.is_loaded if engine else False, - cuda_available=cuda_available, + cuda_available=backend == GpuBackend.CUDA, available_model_sizes=VALID_MODEL_SIZES, available_compute_types=DEVICE_COMPUTE_TYPES[current_device], + rocm_available=backend == GpuBackend.ROCM, + gpu_backend=backend.value, ) def check_configuration( @@ -115,11 +147,14 @@ class AsrEngineManager: """ if model_size is not None and model_size not in VALID_MODEL_SIZES: valid_sizes = ", ".join(VALID_MODEL_SIZES) - return f"Invalid model size: {model_size}. Valid: {valid_sizes}" + return f"{INVALID_MODEL_SIZE_PREFIX}{model_size}. Valid: {valid_sizes}" if device == AsrDevice.CUDA and not self.detect_cuda_available(): return "CUDA requested but not available on this server" + if device == AsrDevice.ROCM and not self.detect_rocm_available(): + return "ROCm requested but not available on this server" + if device is not None and compute_type is not None: valid_types = DEVICE_COMPUTE_TYPES[device] if compute_type not in valid_types: @@ -130,9 +165,11 @@ class AsrEngineManager: def build_engine_for_job( self, job: AsrConfigJob, - ) -> tuple[FasterWhisperEngine, bool]: + ) -> tuple[AsrEngine, bool]: """Build or reuse engine based on job configuration. + Uses the factory to create appropriate engine based on device. + Args: job: The configuration job with target settings. @@ -147,21 +184,21 @@ class AsrEngineManager: ): return current_engine, False - # Import here to avoid circular imports - from noteflow.infrastructure.asr import FasterWhisperEngine + # Use factory to create appropriate engine + from noteflow.infrastructure.asr.factory import create_asr_engine return ( - FasterWhisperEngine( - compute_type=job.target_compute_type.value, + create_asr_engine( device=job.target_device.value, + compute_type=job.target_compute_type.value, ), True, ) def set_active_engine( self, - engine: FasterWhisperEngine, - old_engine: FasterWhisperEngine | None = None, + engine: AsrEngine, + old_engine: AsrEngine | None = None, ) -> None: """Replace the active engine, unloading the old one. @@ -179,7 +216,7 @@ class AsrEngineManager: async def load_model( self, - engine: FasterWhisperEngine, + engine: AsrEngine, model_size: str, ) -> None: """Load a model into the engine asynchronously. diff --git a/src/noteflow/application/services/asr_config/types.py b/src/noteflow/application/services/asr_config/types.py index 43bea0c..696cbe5 100644 --- a/src/noteflow/application/services/asr_config/types.py +++ b/src/noteflow/application/services/asr_config/types.py @@ -8,6 +8,15 @@ from enum import Enum from typing import Final from uuid import UUID +from noteflow.domain.ports.gpu import GpuBackend + +# ASR error message constants +INVALID_MODEL_SIZE_PREFIX: Final[str] = "Invalid model size: " +VALID_SIZES_SUFFIX: Final[str] = ". Valid sizes: " + +# GPU backend value constants (for consistency with GpuBackend enum) +_GPU_BACKEND_NONE: Final[str] = GpuBackend.NONE.value + class AsrConfigPhase(str, Enum): """Phases of ASR reconfiguration.""" @@ -23,7 +32,8 @@ class AsrDevice(str, Enum): """Supported ASR devices.""" CPU = "cpu" - CUDA = "cuda" + CUDA = GpuBackend.CUDA.value + ROCM = GpuBackend.ROCM.value class AsrComputeType(str, Enum): @@ -41,6 +51,11 @@ DEVICE_COMPUTE_TYPES: Final[dict[AsrDevice, tuple[AsrComputeType, ...]]] = { AsrComputeType.FLOAT16, AsrComputeType.FLOAT32, ), + AsrDevice.ROCM: ( + AsrComputeType.INT8, + AsrComputeType.FLOAT16, + AsrComputeType.FLOAT32, + ), } @@ -70,3 +85,5 @@ class AsrCapabilities: cuda_available: bool available_model_sizes: tuple[str, ...] available_compute_types: tuple[AsrComputeType, ...] + rocm_available: bool = False + gpu_backend: str = _GPU_BACKEND_NONE diff --git a/src/noteflow/application/services/calendar/_connection_mixin.py b/src/noteflow/application/services/calendar/_connection_mixin.py index f2bd534..e6313aa 100644 --- a/src/noteflow/application/services/calendar/_connection_mixin.py +++ b/src/noteflow/application/services/calendar/_connection_mixin.py @@ -3,6 +3,7 @@ from __future__ import annotations from typing import TYPE_CHECKING +from uuid import UUID from noteflow.config.constants import OAUTH_FIELD_ACCESS_TOKEN from noteflow.domain.entities.integration import Integration, IntegrationStatus @@ -30,10 +31,14 @@ class CalendarServiceConnectionMixin: _resolve_connection_status: Callable[..., tuple[str, datetime | None]] _fetch_calendar_integration: Callable[..., Awaitable[Integration | None]] - async def get_connection_status(self, provider: str) -> OAuthConnectionInfo: + async def get_connection_status( + self, + provider: str, + workspace_id: UUID | None = None, + ) -> OAuthConnectionInfo: """Get OAuth connection status for a provider.""" async with self._uow_factory() as uow: - integration = await self._fetch_calendar_integration(uow, provider) + integration = await self._fetch_calendar_integration(uow, provider, workspace_id) if integration is None: return OAuthConnectionInfo( @@ -52,12 +57,12 @@ class CalendarServiceConnectionMixin: error_message=integration.error_message, ) - async def disconnect(self, provider: str) -> bool: + async def disconnect(self, provider: str, workspace_id: UUID | None = None) -> bool: """Disconnect OAuth integration and revoke tokens.""" oauth_provider = self._parse_calendar_provider(provider) async with self._uow_factory() as uow: - integration = await self._fetch_calendar_integration(uow, provider) + integration = await self._fetch_calendar_integration(uow, provider, workspace_id) if integration is None: return False diff --git a/src/noteflow/application/services/calendar/_events_mixin.py b/src/noteflow/application/services/calendar/_events_mixin.py index 3d1a4eb..978b236 100644 --- a/src/noteflow/application/services/calendar/_events_mixin.py +++ b/src/noteflow/application/services/calendar/_events_mixin.py @@ -3,6 +3,7 @@ from __future__ import annotations from typing import TYPE_CHECKING +from uuid import UUID from noteflow.config.constants import ERR_TOKEN_REFRESH_PREFIX from noteflow.domain.entities.integration import Integration @@ -24,6 +25,7 @@ if TYPE_CHECKING: from noteflow.config.settings import CalendarIntegrationSettings from noteflow.domain.ports.unit_of_work import UnitOfWork + from noteflow.domain.value_objects import OAuthClientConfig @@ -37,12 +39,14 @@ class CalendarServiceEventsMixin: _outlook_adapter: OutlookCalendarAdapter _parse_calendar_provider: Callable[..., OAuthProvider] _fetch_calendar_integration: Callable[..., Awaitable[Integration | None]] + _build_override_config: Callable[..., OAuthClientConfig | None] async def list_calendar_events( self, provider: str | None = None, hours_ahead: int | None = None, limit: int | None = None, + workspace_id: UUID | None = None, ) -> list[CalendarEventInfo]: """Fetch calendar events from connected providers.""" effective_hours = hours_ahead or self._settings.sync_hours_ahead @@ -53,9 +57,14 @@ class CalendarServiceEventsMixin: provider=provider, hours_ahead=effective_hours, limit=effective_limit, + workspace_id=workspace_id, ) else: - events = await self._fetch_all_provider_events(effective_hours, effective_limit) + events = await self._fetch_all_provider_events( + effective_hours, + effective_limit, + workspace_id, + ) events.sort(key=lambda e: e.start_time) return events @@ -64,11 +73,17 @@ class CalendarServiceEventsMixin: self, hours_ahead: int, limit: int, + workspace_id: UUID | None, ) -> list[CalendarEventInfo]: """Fetch events from all configured providers, ignoring errors.""" events: list[CalendarEventInfo] = [] for p in [OAuthProvider.GOOGLE.value, OAuthProvider.OUTLOOK.value]: - provider_events = await self._try_fetch_provider_events(p, hours_ahead, limit) + provider_events = await self._try_fetch_provider_events( + p, + hours_ahead, + limit, + workspace_id, + ) events.extend(provider_events) return events @@ -77,6 +92,7 @@ class CalendarServiceEventsMixin: provider: str, hours_ahead: int, limit: int, + workspace_id: UUID | None, ) -> list[CalendarEventInfo]: """Attempt to fetch events from a provider, returning empty list on error.""" try: @@ -84,6 +100,7 @@ class CalendarServiceEventsMixin: provider=provider, hours_ahead=hours_ahead, limit=limit, + workspace_id=workspace_id, ) except CalendarServiceError: return [] @@ -93,12 +110,13 @@ class CalendarServiceEventsMixin: provider: str, hours_ahead: int, limit: int, + workspace_id: UUID | None, ) -> list[CalendarEventInfo]: """Fetch events from a specific provider with token refresh.""" oauth_provider = self._parse_calendar_provider(provider) async with self._uow_factory() as uow: - integration = await self._fetch_calendar_integration(uow, provider) + integration = await self._fetch_calendar_integration(uow, provider, workspace_id) if integration is None or not integration.is_connected: raise CalendarServiceError(f"Provider {provider} not connected") tokens = await self._load_tokens_for_provider(uow, provider, integration) @@ -144,13 +162,19 @@ class CalendarServiceEventsMixin: return tokens try: + secrets = await uow.integrations.get_secrets(integration.id) or {} + override_config = self._build_override_config( + oauth_provider, integration, secrets + ) refreshed = await self._oauth_manager.refresh_tokens( provider=oauth_provider, refresh_token=tokens.refresh_token, + client_config=override_config, ) + merged_secrets = {**secrets, **refreshed.to_secrets_dict()} await uow.integrations.set_secrets( integration_id=integration.id, - secrets=refreshed.to_secrets_dict(), + secrets=merged_secrets, ) await uow.commit() return refreshed diff --git a/src/noteflow/application/services/calendar/_oauth_config_mixin.py b/src/noteflow/application/services/calendar/_oauth_config_mixin.py new file mode 100644 index 0000000..ffa605f --- /dev/null +++ b/src/noteflow/application/services/calendar/_oauth_config_mixin.py @@ -0,0 +1,141 @@ +"""OAuth configuration mixin for calendar service.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING +from uuid import UUID + +from noteflow.domain.constants.fields import ( + OAUTH_OVERRIDE_CLIENT_ID, + OAUTH_OVERRIDE_CLIENT_SECRET, + OAUTH_OVERRIDE_ENABLED, + OAUTH_OVERRIDE_REDIRECT_URI, + OAUTH_OVERRIDE_SCOPES, + PROVIDER, +) +from noteflow.domain.entities.integration import Integration, IntegrationType +from noteflow.domain.value_objects import OAuthClientConfig, OAuthProvider + +from ._errors import CalendarServiceError + +if TYPE_CHECKING: + from collections.abc import Awaitable, Callable + + from noteflow.config.settings import CalendarIntegrationSettings + from noteflow.domain.ports.unit_of_work import UnitOfWork + + +class CalendarServiceOAuthConfigMixin: + """Mixin for managing OAuth override configuration.""" + + _settings: CalendarIntegrationSettings + _uow_factory: Callable[[], UnitOfWork] + _parse_calendar_provider: Callable[..., OAuthProvider] + _fetch_calendar_integration: Callable[..., Awaitable[Integration | None]] + _default_scopes_for_provider: Callable[..., tuple[str, ...]] + _build_override_view: Callable[..., tuple[OAuthClientConfig, bool, bool]] + _resolve_workspace_id: Callable[..., UUID] + + async def get_oauth_client_config( + self, + provider: str, + workspace_id: UUID | None = None, + ) -> tuple[OAuthClientConfig, bool, bool]: + """Get stored OAuth override configuration for a provider.""" + oauth_provider = self._parse_calendar_provider(provider) + + async with self._uow_factory() as uow: + integration = await self._fetch_calendar_integration( + uow, provider, workspace_id + ) + if integration is None: + config = OAuthClientConfig( + client_id="", + client_secret="", + redirect_uri=self._settings.redirect_uri, + scopes=self._default_scopes_for_provider(oauth_provider), + ) + return config, False, False + + secrets = await uow.integrations.get_secrets(integration.id) or {} + return self._build_override_view(oauth_provider, integration, secrets) + + async def _get_or_create_calendar_integration( + self, + uow: UnitOfWork, + provider: str, + workspace_id: UUID | None, + ) -> Integration: + integration = await self._fetch_calendar_integration(uow, provider, workspace_id) + if integration is None: + integration = Integration.create( + workspace_id=self._resolve_workspace_id(workspace_id), + name=f"{provider.title()} Calendar", + integration_type=IntegrationType.CALENDAR, + config={PROVIDER: provider}, + ) + await uow.integrations.create(integration) + return integration + + @staticmethod + def _apply_override_config( + integration: Integration, + provider: str, + override_enabled: bool, + client_config: OAuthClientConfig, + ) -> None: + config = dict(integration.config or {}) + config[PROVIDER] = provider + config[OAUTH_OVERRIDE_ENABLED] = override_enabled + config[OAUTH_OVERRIDE_CLIENT_ID] = client_config.client_id + config[OAUTH_OVERRIDE_REDIRECT_URI] = client_config.redirect_uri + config[OAUTH_OVERRIDE_SCOPES] = list(client_config.scopes) + integration.config = config + + @staticmethod + def _ensure_override_secret_present( + override_enabled: bool, + secrets: dict[str, str], + ) -> None: + if override_enabled and not secrets.get(OAUTH_OVERRIDE_CLIENT_SECRET): + raise CalendarServiceError( + "OAuth override enabled but client secret is missing" + ) + + async def set_oauth_client_config( + self, + provider: str, + client_config: OAuthClientConfig, + override_enabled: bool, + workspace_id: UUID | None = None, + ) -> None: + """Persist OAuth override configuration for a provider.""" + self._parse_calendar_provider(provider) + if override_enabled and not client_config.client_id: + raise CalendarServiceError("OAuth override enabled but client ID is missing") + client_secret = client_config.client_secret.strip() + + async with self._uow_factory() as uow: + integration = await self._get_or_create_calendar_integration( + uow, + provider, + workspace_id, + ) + self._apply_override_config( + integration, + provider, + override_enabled, + client_config, + ) + await uow.integrations.update(integration) + + existing_secrets = await uow.integrations.get_secrets(integration.id) or {} + if client_secret: + existing_secrets[OAUTH_OVERRIDE_CLIENT_SECRET] = client_secret + self._ensure_override_secret_present(override_enabled, existing_secrets) + + await uow.integrations.set_secrets( + integration_id=integration.id, + secrets=existing_secrets, + ) + await uow.commit() diff --git a/src/noteflow/application/services/calendar/_oauth_mixin.py b/src/noteflow/application/services/calendar/_oauth_mixin.py index 9dbbef5..060a1e8 100644 --- a/src/noteflow/application/services/calendar/_oauth_mixin.py +++ b/src/noteflow/application/services/calendar/_oauth_mixin.py @@ -2,12 +2,20 @@ from __future__ import annotations -from typing import TYPE_CHECKING +from collections.abc import Sequence +from typing import TYPE_CHECKING, TypeGuard, cast from uuid import UUID -from noteflow.domain.constants.fields import PROVIDER +from noteflow.domain.constants.fields import ( + OAUTH_OVERRIDE_CLIENT_ID, + OAUTH_OVERRIDE_CLIENT_SECRET, + OAUTH_OVERRIDE_ENABLED, + OAUTH_OVERRIDE_REDIRECT_URI, + OAUTH_OVERRIDE_SCOPES, + PROVIDER, +) from noteflow.domain.entities.integration import Integration, IntegrationType -from noteflow.domain.value_objects import OAuthProvider, OAuthTokens +from noteflow.domain.value_objects import OAuthClientConfig, OAuthProvider, OAuthTokens from noteflow.infrastructure.calendar import OAuthManager from noteflow.infrastructure.calendar.google_adapter import GoogleCalendarError from noteflow.infrastructure.calendar.oauth import OAuthError @@ -25,6 +33,17 @@ if TYPE_CHECKING: logger = get_logger(__name__) +def _is_str_sequence(value: object) -> TypeGuard[Sequence[str]]: + """Check whether a value is a non-string sequence of strings.""" + if isinstance(value, str): + return False + if not isinstance(value, Sequence): + return False + # Cast to satisfy type checker when iterating unknown Sequence contents. + sequence = cast(Sequence[object], value) + return all(isinstance(item, str) for item in sequence) + + class CalendarServiceOAuthMixin: """Mixin for OAuth flow operations.""" @@ -36,19 +55,140 @@ class CalendarServiceOAuthMixin: _fetch_calendar_integration: Callable[..., Awaitable[Integration | None]] _fetch_account_email: Callable[[OAuthProvider, str], Awaitable[str]] + def _resolve_workspace_id(self, workspace_id: UUID | None) -> UUID: + """Resolve workspace ID with fallback for single-user mode.""" + return workspace_id or self.DEFAULT_WORKSPACE_ID + + def _default_scopes_for_provider(self, provider: OAuthProvider) -> tuple[str, ...]: + """Return default OAuth scopes for provider.""" + scopes = ( + self._oauth_manager.GOOGLE_SCOPES + if provider == OAuthProvider.GOOGLE + else self._oauth_manager.OUTLOOK_SCOPES + ) + return tuple(scopes) + + def _parse_override_scopes( + self, + provider: OAuthProvider, + scopes: object, + ) -> tuple[str, ...]: + """Normalize override scopes, falling back to defaults.""" + if _is_str_sequence(scopes): + normalized = tuple(scopes) + if normalized: + return normalized + return self._default_scopes_for_provider(provider) + + def _extract_override_fields( + self, + provider: OAuthProvider, + integration: Integration, + ) -> tuple[bool, str, str, tuple[str, ...]]: + config = integration.config or {} + override_enabled = bool(config.get(OAUTH_OVERRIDE_ENABLED)) + client_id_raw = config.get(OAUTH_OVERRIDE_CLIENT_ID) + redirect_raw = config.get(OAUTH_OVERRIDE_REDIRECT_URI) + client_id = client_id_raw if isinstance(client_id_raw, str) else "" + redirect_uri = ( + redirect_raw if isinstance(redirect_raw, str) else self._settings.redirect_uri + ) + scopes = self._parse_override_scopes(provider, config.get(OAUTH_OVERRIDE_SCOPES)) + return override_enabled, client_id, redirect_uri, scopes + + def _build_override_config( + self, + provider: OAuthProvider, + integration: Integration, + secrets: dict[str, str] | None, + ) -> OAuthClientConfig | None: + override_enabled, client_id, redirect_uri, scopes = self._extract_override_fields( + provider, integration + ) + if not override_enabled: + return None + client_secret = secrets.get(OAUTH_OVERRIDE_CLIENT_SECRET, "") if secrets else "" + if not (client_id and client_secret): + raise CalendarServiceError( + "OAuth override enabled but client credentials are missing" + ) + override_config = OAuthClientConfig( + client_id=client_id, + client_secret=client_secret, + redirect_uri=redirect_uri or self._settings.redirect_uri, + scopes=scopes, + ) + return override_config + + def _build_override_view( + self, + provider: OAuthProvider, + integration: Integration, + secrets: dict[str, str] | None, + ) -> tuple[OAuthClientConfig, bool, bool]: + override_enabled, client_id, redirect_uri, scopes = self._extract_override_fields( + provider, integration + ) + has_secret = bool(secrets.get(OAUTH_OVERRIDE_CLIENT_SECRET)) if secrets else False + return ( + OAuthClientConfig( + client_id=client_id, + client_secret="", + redirect_uri=redirect_uri or self._settings.redirect_uri, + scopes=scopes, + ), + override_enabled, + has_secret, + ) + + async def _load_override_config( + self, + provider: str, + oauth_provider: OAuthProvider, + workspace_id: UUID | None, + ) -> OAuthClientConfig | None: + async with self._uow_factory() as uow: + integration = await self._fetch_calendar_integration(uow, provider, workspace_id) + if not integration: + return None + secrets = await uow.integrations.get_secrets(integration.id) + return self._build_override_config(oauth_provider, integration, secrets) + + async def _resolve_override_config_and_redirect( + self, + provider: str, + oauth_provider: OAuthProvider, + redirect_uri: str | None, + workspace_id: UUID | None, + ) -> tuple[OAuthClientConfig | None, str]: + override_config = await self._load_override_config( + provider, oauth_provider, workspace_id + ) + effective_redirect = redirect_uri or self._settings.redirect_uri + if override_config and not redirect_uri: + effective_redirect = override_config.redirect_uri + return override_config, effective_redirect + async def initiate_oauth( self, provider: str, redirect_uri: str | None = None, + workspace_id: UUID | None = None, ) -> tuple[str, str]: """Start OAuth flow for a calendar provider.""" oauth_provider = self._parse_calendar_provider(provider) - effective_redirect = redirect_uri or self._settings.redirect_uri + override_config, effective_redirect = await self._resolve_override_config_and_redirect( + provider, + oauth_provider, + redirect_uri, + workspace_id, + ) try: auth_url, state = self._oauth_manager.initiate_auth( provider=oauth_provider, redirect_uri=effective_redirect, + client_config=override_config, ) logger.info("Initiated OAuth flow for provider=%s", provider) return auth_url, state @@ -60,13 +200,21 @@ class CalendarServiceOAuthMixin: provider: str, code: str, state: str, + workspace_id: UUID | None = None, ) -> UUID: """Complete OAuth flow and store tokens.""" oauth_provider = self._parse_calendar_provider(provider) + override_config = await self._load_override_config( + provider, + oauth_provider, + workspace_id, + ) - tokens = await self._exchange_tokens(oauth_provider, code, state) + tokens = await self._exchange_tokens(oauth_provider, code, state, override_config) email = await self._fetch_provider_email(oauth_provider, tokens.access_token) - integration_id = await self._store_calendar_integration(provider, email, tokens) + integration_id = await self._store_calendar_integration( + provider, email, tokens, workspace_id + ) logger.info("Completed OAuth for provider=%s, email=%s", provider, email) return integration_id @@ -76,6 +224,7 @@ class CalendarServiceOAuthMixin: oauth_provider: OAuthProvider, code: str, state: str, + client_config: OAuthClientConfig | None = None, ) -> OAuthTokens: """Exchange authorization code for tokens.""" try: @@ -83,6 +232,7 @@ class CalendarServiceOAuthMixin: provider=oauth_provider, code=code, state=state, + client_config=client_config, ) except OAuthError as e: raise CalendarServiceError(f"OAuth failed: {e}") from e @@ -103,14 +253,18 @@ class CalendarServiceOAuthMixin: provider: str, email: str, tokens: OAuthTokens, + workspace_id: UUID | None = None, ) -> UUID: """Persist calendar integration and encrypted tokens.""" + effective_workspace_id = self._resolve_workspace_id(workspace_id) async with self._uow_factory() as uow: - integration = await self._fetch_calendar_integration(uow, provider) + integration = await self._fetch_calendar_integration( + uow, provider, workspace_id + ) if integration is None: integration = Integration.create( - workspace_id=self.DEFAULT_WORKSPACE_ID, + workspace_id=effective_workspace_id, name=f"{provider.title()} Calendar", integration_type=IntegrationType.CALENDAR, config={PROVIDER: provider}, @@ -122,9 +276,11 @@ class CalendarServiceOAuthMixin: integration.connect(provider_email=email) await uow.integrations.update(integration) + existing_secrets = await uow.integrations.get_secrets(integration.id) or {} + merged_secrets = {**existing_secrets, **tokens.to_secrets_dict()} await uow.integrations.set_secrets( integration_id=integration.id, - secrets=tokens.to_secrets_dict(), + secrets=merged_secrets, ) await uow.commit() diff --git a/src/noteflow/application/services/calendar/_service_mixin.py b/src/noteflow/application/services/calendar/_service_mixin.py index 98d5daa..a5ae93c 100644 --- a/src/noteflow/application/services/calendar/_service_mixin.py +++ b/src/noteflow/application/services/calendar/_service_mixin.py @@ -3,6 +3,7 @@ from __future__ import annotations from datetime import datetime +from uuid import UUID from typing import TYPE_CHECKING from noteflow.domain.entities.integration import Integration, IntegrationStatus, IntegrationType @@ -65,9 +66,11 @@ class CalendarServiceSupportMixin: self, uow: UnitOfWork, provider: str, + workspace_id: UUID | None = None, ) -> Integration | None: """Fetch calendar integration for provider, or None if not found.""" return await uow.integrations.get_by_provider( provider=provider, integration_type=IntegrationType.CALENDAR.value, + workspace_id=workspace_id, ) diff --git a/src/noteflow/application/services/calendar/calendar_service.py b/src/noteflow/application/services/calendar/calendar_service.py index e952c9e..cdf178c 100644 --- a/src/noteflow/application/services/calendar/calendar_service.py +++ b/src/noteflow/application/services/calendar/calendar_service.py @@ -17,6 +17,7 @@ from noteflow.infrastructure.calendar import ( from ._connection_mixin import CalendarServiceConnectionMixin from ._events_mixin import CalendarServiceEventsMixin +from ._oauth_config_mixin import CalendarServiceOAuthConfigMixin from ._oauth_mixin import CalendarServiceOAuthMixin from ._service_mixin import CalendarServiceSupportMixin @@ -38,6 +39,7 @@ if TYPE_CHECKING: class CalendarService( CalendarServiceOAuthMixin, + CalendarServiceOAuthConfigMixin, CalendarServiceConnectionMixin, CalendarServiceEventsMixin, CalendarServiceSupportMixin, diff --git a/src/noteflow/application/services/streaming_config/persistence.py b/src/noteflow/application/services/streaming_config/persistence.py index 141fcf4..7f4b40e 100644 --- a/src/noteflow/application/services/streaming_config/persistence.py +++ b/src/noteflow/application/services/streaming_config/persistence.py @@ -108,7 +108,7 @@ def resolve_streaming_config_preference( fallback: StreamingConfig, ) -> StreamingConfigResolution | None: """Resolve a stored streaming config preference into safe runtime values.""" - parsed = _parse_preference(raw_value) + parsed = _parse_streaming_preference(raw_value) if parsed is None: return None @@ -120,7 +120,7 @@ def resolve_streaming_config_preference( ) -def _parse_preference(raw_value: object) -> StreamingConfigPreference | None: +def _parse_streaming_preference(raw_value: object) -> StreamingConfigPreference | None: if not isinstance(raw_value, dict): return None diff --git a/src/noteflow/application/services/summarization/template_service.py b/src/noteflow/application/services/summarization/template_service.py index 22ab001..6ea446f 100644 --- a/src/noteflow/application/services/summarization/template_service.py +++ b/src/noteflow/application/services/summarization/template_service.py @@ -6,7 +6,10 @@ from collections.abc import Sequence from typing import TYPE_CHECKING from uuid import UUID -from noteflow.config.constants.errors import ERROR_WORKSPACE_SCOPE_MISMATCH +from noteflow.config.constants.errors import ( + ERROR_WORKSPACE_ADMIN_REQUIRED, + ERROR_WORKSPACE_SCOPE_MISMATCH, +) from noteflow.domain.entities import SummarizationTemplate, SummarizationTemplateVersion from noteflow.domain.identity.context import OperationContext from noteflow.domain.utils.time import utc_now @@ -50,8 +53,7 @@ class SummarizationTemplateService: @staticmethod def _require_admin(context: OperationContext) -> None: if not context.is_admin(): - msg = "Workspace admin role required" - raise PermissionError(msg) + raise PermissionError(ERROR_WORKSPACE_ADMIN_REQUIRED) @staticmethod def _ensure_workspace_scope(context: OperationContext, workspace_id: UUID) -> None: diff --git a/src/noteflow/config/constants/errors.py b/src/noteflow/config/constants/errors.py index 690b296..067dea1 100644 --- a/src/noteflow/config/constants/errors.py +++ b/src/noteflow/config/constants/errors.py @@ -24,6 +24,9 @@ ERR_API_PREFIX: Final[str] = "API error: " ERR_TOKEN_REFRESH_PREFIX: Final[str] = "Token refresh failed: " """Prefix for token refresh error messages.""" +ERROR_WORKSPACE_ADMIN_REQUIRED: Final[str] = "Workspace admin role required" +"""Error message when workspace admin access is required.""" + # ============================================================================= # Validation Message Fragments # ============================================================================= diff --git a/src/noteflow/config/settings/_features.py b/src/noteflow/config/settings/_features.py index 99a17ab..9eb8d8a 100644 --- a/src/noteflow/config/settings/_features.py +++ b/src/noteflow/config/settings/_features.py @@ -17,6 +17,7 @@ class FeatureFlags(BaseSettings): NOTEFLOW_FEATURE_NER_ENABLED: Enable named entity recognition (default: False) NOTEFLOW_FEATURE_CALENDAR_ENABLED: Enable calendar integration (default: False) NOTEFLOW_FEATURE_WEBHOOKS_ENABLED: Enable webhook notifications (default: True) + NOTEFLOW_FEATURE_ROCM_ENABLED: Enable ROCm GPU support (default: True) """ model_config = SettingsConfigDict( @@ -46,3 +47,10 @@ class FeatureFlags(BaseSettings): bool, Field(default=True, description="Enable webhook notifications"), ] + rocm_enabled: Annotated[ + bool, + Field( + default=True, + description="Enable ROCm GPU support for AMD GPUs (requires PyTorch ROCm)", + ), + ] diff --git a/src/noteflow/domain/constants/fields.py b/src/noteflow/domain/constants/fields.py index c849e86..62b179f 100644 --- a/src/noteflow/domain/constants/fields.py +++ b/src/noteflow/domain/constants/fields.py @@ -66,6 +66,11 @@ USER_PREFERENCES: Final[str] = "user_preferences" DIARIZATION_JOBS: Final[str] = "diarization_jobs" MEETING_TAGS: Final[str] = "meeting_tags" SORT_DESC: Final[str] = "sort_desc" +OAUTH_OVERRIDE_ENABLED: Final[str] = "oauth_override_enabled" +OAUTH_OVERRIDE_CLIENT_ID: Final[str] = "oauth_override_client_id" +OAUTH_OVERRIDE_CLIENT_SECRET: Final[str] = "oauth_override_client_secret" +OAUTH_OVERRIDE_REDIRECT_URI: Final[str] = "oauth_override_redirect_uri" +OAUTH_OVERRIDE_SCOPES: Final[str] = "oauth_override_scopes" # Observability metrics fields TOKENS_INPUT: Final[str] = "tokens_input" diff --git a/src/noteflow/domain/ports/calendar.py b/src/noteflow/domain/ports/calendar.py index df2ec68..1788fab 100644 --- a/src/noteflow/domain/ports/calendar.py +++ b/src/noteflow/domain/ports/calendar.py @@ -13,7 +13,7 @@ from typing import TYPE_CHECKING, Protocol from noteflow.config.constants.core import HOURS_PER_DAY if TYPE_CHECKING: - from noteflow.domain.value_objects import OAuthProvider, OAuthTokens + from noteflow.domain.value_objects import OAuthClientConfig, OAuthProvider, OAuthTokens @dataclass(frozen=True, slots=True) @@ -59,12 +59,14 @@ class OAuthPort(Protocol): self, provider: OAuthProvider, redirect_uri: str, + client_config: OAuthClientConfig | None = None, ) -> tuple[str, str]: """Generate OAuth authorization URL with PKCE. Args: provider: OAuth provider (google or outlook). redirect_uri: Callback URL after authorization. + client_config: Optional client configuration override. Returns: Tuple of (authorization_url, state_token). @@ -76,6 +78,7 @@ class OAuthPort(Protocol): provider: OAuthProvider, code: str, state: str, + client_config: OAuthClientConfig | None = None, ) -> OAuthTokens: """Exchange authorization code for tokens. @@ -83,6 +86,7 @@ class OAuthPort(Protocol): provider: OAuth provider. code: Authorization code from callback. state: State parameter from callback. + client_config: Optional client configuration override. Returns: OAuth tokens. @@ -96,12 +100,14 @@ class OAuthPort(Protocol): self, provider: OAuthProvider, refresh_token: str, + client_config: OAuthClientConfig | None = None, ) -> OAuthTokens: """Refresh expired access token. Args: provider: OAuth provider. refresh_token: Refresh token from previous exchange. + client_config: Optional client configuration override. Returns: New OAuth tokens. diff --git a/src/noteflow/domain/ports/gpu.py b/src/noteflow/domain/ports/gpu.py new file mode 100644 index 0000000..783a643 --- /dev/null +++ b/src/noteflow/domain/ports/gpu.py @@ -0,0 +1,70 @@ +"""GPU backend types and detection protocol.""" + +from __future__ import annotations + +from dataclasses import dataclass +from enum import Enum +from typing import Protocol + + +class GpuBackend(str, Enum): + """Detected GPU backend type. + + Used to identify which GPU runtime is available on the system. + ROCm appears as CUDA at the PyTorch level but uses HIP internally. + """ + + NONE = "none" + CUDA = "cuda" + ROCM = "rocm" + MPS = "mps" + + +@dataclass(frozen=True) +class GpuInfo: + """Information about detected GPU. + + Attributes: + backend: The GPU backend type (CUDA, ROCm, MPS, or NONE). + device_name: Human-readable GPU name (e.g., "NVIDIA GeForce RTX 4090"). + vram_total_mb: Total VRAM in megabytes (0 for MPS which doesn't expose this). + driver_version: Driver version string (CUDA version or HIP version). + architecture: GPU architecture identifier (e.g., "sm_89" for CUDA, "gfx1100" for ROCm). + """ + + backend: GpuBackend + device_name: str + vram_total_mb: int + driver_version: str + architecture: str | None = None + + +class GpuDetectionProtocol(Protocol): + """Protocol for GPU detection implementations. + + Allows for testing and alternative detection strategies. + """ + + def detect_backend(self) -> GpuBackend: + """Detect the available GPU backend. + + Returns: + GpuBackend enum indicating the detected backend. + """ + ... + + def get_info(self) -> GpuInfo | None: + """Get detailed GPU information. + + Returns: + GpuInfo if a GPU is available, None otherwise. + """ + ... + + def is_supported_for_asr(self) -> bool: + """Check if GPU is supported for ASR workloads. + + Returns: + True if the GPU can run ASR models, False otherwise. + """ + ... diff --git a/src/noteflow/domain/ports/repositories/external/_integration.py b/src/noteflow/domain/ports/repositories/external/_integration.py index 4aebb33..ac3438e 100644 --- a/src/noteflow/domain/ports/repositories/external/_integration.py +++ b/src/noteflow/domain/ports/repositories/external/_integration.py @@ -32,12 +32,14 @@ class IntegrationRepository(Protocol): self, provider: str, integration_type: str | None = None, + workspace_id: UUID | None = None, ) -> Integration | None: """Retrieve an integration by provider name. Args: provider: Provider name (e.g., 'google', 'outlook'). integration_type: Optional type filter. + workspace_id: Optional workspace filter. Returns: Integration if found, None otherwise. diff --git a/src/noteflow/domain/value_objects.py b/src/noteflow/domain/value_objects.py index 262708b..728aa19 100644 --- a/src/noteflow/domain/value_objects.py +++ b/src/noteflow/domain/value_objects.py @@ -93,7 +93,11 @@ class MeetingState(IntEnum): """ valid_transitions: dict[MeetingState, set[MeetingState]] = { MeetingState.UNSPECIFIED: {MeetingState.CREATED}, - MeetingState.CREATED: {MeetingState.RECORDING, MeetingState.STOPPED, MeetingState.ERROR}, + MeetingState.CREATED: { + MeetingState.RECORDING, + MeetingState.STOPPED, + MeetingState.ERROR, + }, MeetingState.RECORDING: {MeetingState.STOPPING, MeetingState.ERROR}, MeetingState.STOPPING: {MeetingState.STOPPED, MeetingState.ERROR}, MeetingState.STOPPED: {MeetingState.COMPLETED, MeetingState.ERROR}, @@ -153,6 +157,15 @@ class OAuthState: return datetime.now(self.created_at.tzinfo) > self.expires_at +@dataclass(frozen=True, slots=True) +class OAuthClientConfig: + """OAuth client configuration overrides.""" + + client_id: str + client_secret: str + redirect_uri: str + scopes: tuple[str, ...] = () + @dataclass(frozen=True, slots=True) class OAuthTokens: """OAuth tokens returned from provider. diff --git a/src/noteflow/grpc/mixins/__init__.py b/src/noteflow/grpc/mixins/__init__.py index 77699ab..6f318f7 100644 --- a/src/noteflow/grpc/mixins/__init__.py +++ b/src/noteflow/grpc/mixins/__init__.py @@ -5,6 +5,7 @@ from .annotation import AnnotationMixin from .asr_config import AsrConfigMixin from .streaming_config import StreamingConfigMixin from .calendar import CalendarMixin +from .calendar_oauth_config import CalendarOAuthConfigMixin from .diarization import DiarizationMixin from .diarization_job import DiarizationJobMixin from .entities import EntitiesMixin @@ -30,6 +31,7 @@ __all__ = [ "AsrConfigMixin", "StreamingConfigMixin", "CalendarMixin", + "CalendarOAuthConfigMixin", "DiarizationJobMixin", "DiarizationMixin", "EntitiesMixin", diff --git a/src/noteflow/grpc/mixins/asr_config.py b/src/noteflow/grpc/mixins/asr_config.py index ef8e730..c36a87f 100644 --- a/src/noteflow/grpc/mixins/asr_config.py +++ b/src/noteflow/grpc/mixins/asr_config.py @@ -14,13 +14,14 @@ from noteflow.application.services.asr_config import ( AsrConfigService, AsrDevice, ) -from noteflow.domain.constants.fields import DEVICE from noteflow.domain.constants.fields import ( + DEVICE, JOB_STATUS_COMPLETED, JOB_STATUS_FAILED, JOB_STATUS_QUEUED, JOB_STATUS_RUNNING, ) +from noteflow.domain.ports.gpu import GpuBackend from noteflow.infrastructure.logging import get_logger from ..proto import noteflow_pb2 @@ -39,11 +40,13 @@ logger = get_logger(__name__) _DEVICE_TO_PROTO: dict[AsrDevice, int] = { AsrDevice.CPU: noteflow_pb2.ASR_DEVICE_CPU, AsrDevice.CUDA: noteflow_pb2.ASR_DEVICE_CUDA, + AsrDevice.ROCM: noteflow_pb2.ASR_DEVICE_ROCM, } _PROTO_TO_DEVICE: dict[int, AsrDevice] = { noteflow_pb2.ASR_DEVICE_CPU: AsrDevice.CPU, noteflow_pb2.ASR_DEVICE_CUDA: AsrDevice.CUDA, + noteflow_pb2.ASR_DEVICE_ROCM: AsrDevice.ROCM, } _COMPUTE_TYPE_TO_PROTO: dict[AsrComputeType, int] = { @@ -102,6 +105,8 @@ def _build_configuration_proto( cuda_available=caps.cuda_available, available_model_sizes=list(caps.available_model_sizes), available_compute_types=available_compute_types, + rocm_available=caps.rocm_available, + gpu_backend=caps.gpu_backend, ) @@ -188,6 +193,8 @@ class AsrConfigMixin: cuda_available=False, available_model_sizes=[], available_compute_types=[], + rocm_available=False, + gpu_backend=GpuBackend.NONE.value, ) ) diff --git a/src/noteflow/grpc/mixins/calendar.py b/src/noteflow/grpc/mixins/calendar.py index 05fb777..7bc5445 100644 --- a/src/noteflow/grpc/mixins/calendar.py +++ b/src/noteflow/grpc/mixins/calendar.py @@ -12,15 +12,17 @@ from noteflow.domain.value_objects import OAuthProvider from noteflow.infrastructure.logging import get_logger from ..proto import noteflow_pb2 -from .errors import abort_internal, abort_invalid_argument, abort_unavailable +from .errors import ( + abort_internal, + abort_invalid_argument, + abort_unavailable, +) logger = get_logger(__name__) _ERR_CALENDAR_NOT_ENABLED = "Calendar integration not enabled" if TYPE_CHECKING: - from noteflow.domain.ports.calendar import OAuthConnectionInfo - from ._types import GrpcContext from .protocols import ServicerHost @@ -62,7 +64,7 @@ def _build_oauth_connection( ) -async def _require_calendar_service( +async def require_calendar_service( host: ServicerHost, context: GrpcContext, operation: str, @@ -91,7 +93,7 @@ class CalendarMixin: context: GrpcContext, ) -> noteflow_pb2.ListCalendarEventsResponse: """List upcoming calendar events from connected providers.""" - service = await _require_calendar_service(self, context, "calendar_list_events") + service = await require_calendar_service(self, context, "calendar_list_events") provider = request.provider or None hours_ahead = request.hours_ahead if request.hours_ahead > 0 else None @@ -103,12 +105,14 @@ class CalendarMixin: hours_ahead=hours_ahead, limit=limit, ) + workspace_id = self.get_operation_context(context).workspace_id try: events = await service.list_calendar_events( provider=provider, hours_ahead=hours_ahead, limit=limit, + workspace_id=workspace_id, ) except CalendarServiceError as e: logger.error("calendar_list_events_failed", error=str(e), provider=provider) @@ -134,7 +138,7 @@ class CalendarMixin: context: GrpcContext, ) -> noteflow_pb2.GetCalendarProvidersResponse: """Get available calendar providers with authentication status.""" - service = await _require_calendar_service(self, context, "calendar_providers") + service = await require_calendar_service(self, context, "calendar_providers") logger.debug("calendar_get_providers_request") @@ -143,7 +147,10 @@ class CalendarMixin: (OAuthProvider.GOOGLE.value, "Google Calendar"), (OAuthProvider.OUTLOOK.value, "Microsoft Outlook"), ]: - status: OAuthConnectionInfo = await service.get_connection_status(provider_name) + status: OAuthConnectionInfo = await service.get_connection_status( + provider_name, + workspace_id=self.get_operation_context(context).workspace_id, + ) is_authenticated = status.status == IntegrationStatus.CONNECTED.value providers.append( noteflow_pb2.CalendarProvider( @@ -159,8 +166,9 @@ class CalendarMixin: status=status.status, ) - authenticated_count = sum(bool(p.is_authenticated) - for p in providers) + authenticated_count = sum( + bool(provider.is_authenticated) for provider in providers + ) logger.info( "calendar_get_providers_success", total_providers=len(providers), @@ -175,18 +183,20 @@ class CalendarMixin: context: GrpcContext, ) -> noteflow_pb2.InitiateOAuthResponse: """Start OAuth flow for a calendar provider.""" - service = await _require_calendar_service(self, context, "oauth_initiate") + service = await require_calendar_service(self, context, "oauth_initiate") logger.debug( "oauth_initiate_request", provider=request.provider, has_redirect_uri=bool(request.redirect_uri), ) + workspace_id = self.get_operation_context(context).workspace_id try: auth_url, state = await service.initiate_oauth( provider=request.provider, redirect_uri=request.redirect_uri or None, + workspace_id=workspace_id, ) except CalendarServiceError as e: logger.error( @@ -214,19 +224,21 @@ class CalendarMixin: context: GrpcContext, ) -> noteflow_pb2.CompleteOAuthResponse: """Complete OAuth flow with authorization code.""" - service = await _require_calendar_service(self, context, "oauth_complete") + service = await require_calendar_service(self, context, "oauth_complete") logger.debug( "oauth_complete_request", provider=request.provider, state=request.state, ) + workspace_id = self.get_operation_context(context).workspace_id try: integration_id = await service.complete_oauth( provider=request.provider, code=request.code, state=request.state, + workspace_id=workspace_id, ) except CalendarServiceError as e: logger.warning( @@ -239,7 +251,7 @@ class CalendarMixin: error_message=str(e), ) - status = await service.get_connection_status(request.provider) + status = await service.get_connection_status(request.provider, workspace_id=workspace_id) logger.info( "oauth_complete_success", @@ -260,7 +272,7 @@ class CalendarMixin: context: GrpcContext, ) -> noteflow_pb2.GetOAuthConnectionStatusResponse: """Get OAuth connection status for a provider.""" - service = await _require_calendar_service(self, context, "oauth_status") + service = await require_calendar_service(self, context, "oauth_status") logger.debug( "oauth_status_request", @@ -268,7 +280,10 @@ class CalendarMixin: integration_type=request.integration_type or CALENDAR, ) - info = await service.get_connection_status(request.provider) + info = await service.get_connection_status( + request.provider, + workspace_id=self.get_operation_context(context).workspace_id, + ) logger.info( "oauth_status_retrieved", @@ -288,11 +303,14 @@ class CalendarMixin: context: GrpcContext, ) -> noteflow_pb2.DisconnectOAuthResponse: """Disconnect OAuth integration and revoke tokens.""" - service = await _require_calendar_service(self, context, "oauth_disconnect") + service = await require_calendar_service(self, context, "oauth_disconnect") logger.debug("oauth_disconnect_request", provider=request.provider) - success = await service.disconnect(request.provider) + success = await service.disconnect( + request.provider, + workspace_id=self.get_operation_context(context).workspace_id, + ) if success: logger.info("oauth_disconnect_success", provider=request.provider) diff --git a/src/noteflow/grpc/mixins/calendar_oauth_config.py b/src/noteflow/grpc/mixins/calendar_oauth_config.py new file mode 100644 index 0000000..ab69ce4 --- /dev/null +++ b/src/noteflow/grpc/mixins/calendar_oauth_config.py @@ -0,0 +1,134 @@ +"""OAuth client config mixin for calendar integrations.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING +from uuid import UUID + +from noteflow.application.services.calendar import CalendarServiceError +from noteflow.config.constants.errors import ERROR_WORKSPACE_ADMIN_REQUIRED +from noteflow.domain.constants.fields import ENTITY_WORKSPACE +from noteflow.domain.value_objects import OAuthClientConfig + +from ..proto import noteflow_pb2 +from .calendar import require_calendar_service +from .errors import ( + abort_invalid_argument, + abort_not_found, + abort_permission_denied, + parse_workspace_id, +) + +if TYPE_CHECKING: + from ._types import GrpcContext + from .protocols import ServicerHost + +def _build_oauth_client_config( + config: noteflow_pb2.OAuthClientConfig, +) -> OAuthClientConfig: + client_secret = config.client_secret if config.HasField("client_secret") else "" + return OAuthClientConfig( + client_id=config.client_id, + client_secret=client_secret, + redirect_uri=config.redirect_uri, + scopes=tuple(config.scopes), + ) + + +async def _resolve_workspace_id( + host: ServicerHost, + context: GrpcContext, + request_workspace_id: str, +) -> UUID: + if request_workspace_id: + return await parse_workspace_id(request_workspace_id, context) + return host.get_operation_context(context).workspace_id + + +async def _require_admin_access( + host: ServicerHost, + context: GrpcContext, + workspace_id: UUID, +) -> None: + async with host.create_repository_provider() as uow: + if not uow.supports_workspaces: + return + + user_ctx = await host.identity_service.get_or_create_default_user(uow) + workspace = await uow.workspaces.get(workspace_id) + if not workspace: + await abort_not_found(context, ENTITY_WORKSPACE, str(workspace_id)) + raise AssertionError("unreachable") from None + + membership = await uow.workspaces.get_membership(workspace_id, user_ctx.user_id) + if not membership: + await abort_not_found(context, "Workspace membership", str(workspace_id)) + raise AssertionError("unreachable") from None + + if not membership.role.can_admin(): + await abort_permission_denied(context, ERROR_WORKSPACE_ADMIN_REQUIRED) + raise AssertionError("unreachable") from None + + +class CalendarOAuthConfigMixin: + """Mixin providing OAuth client config endpoints.""" + + async def GetOAuthClientConfig( + self: ServicerHost, + request: noteflow_pb2.GetOAuthClientConfigRequest, + context: GrpcContext, + ) -> noteflow_pb2.GetOAuthClientConfigResponse: + """Get OAuth override config for a calendar provider.""" + service = await require_calendar_service(self, context, "oauth_client_config_get") + workspace_id = await _resolve_workspace_id(self, context, request.workspace_id) + + try: + config, override_enabled, has_secret = await service.get_oauth_client_config( + request.provider, + workspace_id=workspace_id, + ) + except CalendarServiceError as e: + await abort_invalid_argument(context, str(e)) + raise AssertionError("unreachable") from None + + return noteflow_pb2.GetOAuthClientConfigResponse( + config=noteflow_pb2.OAuthClientConfig( + client_id=config.client_id, + redirect_uri=config.redirect_uri, + scopes=list(config.scopes), + override_enabled=override_enabled, + has_client_secret=has_secret, + ) + ) + + async def SetOAuthClientConfig( + self: ServicerHost, + request: noteflow_pb2.SetOAuthClientConfigRequest, + context: GrpcContext, + ) -> noteflow_pb2.SetOAuthClientConfigResponse: + """Set OAuth override config for a calendar provider.""" + service = await require_calendar_service(self, context, "oauth_client_config_set") + workspace_id = await _resolve_workspace_id(self, context, request.workspace_id) + await _require_admin_access(self, context, workspace_id) + + if not request.provider: + await abort_invalid_argument(context, "Provider is required") + raise AssertionError("unreachable") from None + if not request.HasField("config"): + await abort_invalid_argument(context, "OAuth config is required") + raise AssertionError("unreachable") from None + + client_config = _build_oauth_client_config(request.config) + + try: + await service.set_oauth_client_config( + provider=request.provider, + client_config=client_config, + override_enabled=request.config.override_enabled, + workspace_id=workspace_id, + ) + except CalendarServiceError as e: + await abort_invalid_argument(context, str(e)) + raise AssertionError("unreachable") from None + + return noteflow_pb2.SetOAuthClientConfigResponse(success=True) diff --git a/src/noteflow/grpc/mixins/identity.py b/src/noteflow/grpc/mixins/identity.py index 4f9571e..954f910 100644 --- a/src/noteflow/grpc/mixins/identity.py +++ b/src/noteflow/grpc/mixins/identity.py @@ -5,7 +5,10 @@ from __future__ import annotations from dataclasses import replace from typing import TYPE_CHECKING, cast -from noteflow.config.constants.errors import ERROR_WORKSPACE_ID_REQUIRED +from noteflow.config.constants.errors import ( + ERROR_WORKSPACE_ADMIN_REQUIRED, + ERROR_WORKSPACE_ID_REQUIRED, +) from noteflow.domain.constants.fields import ENTITY_WORKSPACE from noteflow.domain.entities.integration import IntegrationType from noteflow.domain.ports.unit_of_work import UnitOfWork @@ -274,7 +277,7 @@ class IdentityMixin: ) if not membership.role.can_admin(): - await abort_permission_denied(context, "Workspace admin role required") + await abort_permission_denied(context, ERROR_WORKSPACE_ADMIN_REQUIRED) raise # Unreachable but helps type checker updates = proto_to_workspace_settings(request.settings) diff --git a/src/noteflow/grpc/proto/noteflow.proto b/src/noteflow/grpc/proto/noteflow.proto index 60ae3f9..ed6656d 100644 --- a/src/noteflow/grpc/proto/noteflow.proto +++ b/src/noteflow/grpc/proto/noteflow.proto @@ -75,6 +75,8 @@ service NoteFlowService { rpc CompleteOAuth(CompleteOAuthRequest) returns (CompleteOAuthResponse); rpc GetOAuthConnectionStatus(GetOAuthConnectionStatusRequest) returns (GetOAuthConnectionStatusResponse); rpc DisconnectOAuth(DisconnectOAuthRequest) returns (DisconnectOAuthResponse); + rpc GetOAuthClientConfig(GetOAuthClientConfigRequest) returns (GetOAuthClientConfigResponse); + rpc SetOAuthClientConfig(SetOAuthClientConfigRequest) returns (SetOAuthClientConfigResponse); // Webhook management (Sprint 6) rpc RegisterWebhook(RegisterWebhookRequest) returns (WebhookConfigProto); @@ -649,6 +651,7 @@ enum AsrDevice { ASR_DEVICE_UNSPECIFIED = 0; ASR_DEVICE_CPU = 1; ASR_DEVICE_CUDA = 2; + ASR_DEVICE_ROCM = 3; } // Valid ASR compute types @@ -681,6 +684,12 @@ message AsrConfiguration { // Available compute types for current device repeated AsrComputeType available_compute_types = 7; + + // Whether ROCm is available on this server + bool rocm_available = 8; + + // Current GPU backend (none, cuda, rocm, mps) + string gpu_backend = 9; } message GetAsrConfigurationRequest {} @@ -1319,6 +1328,60 @@ message DisconnectOAuthResponse { string error_message = 2; } +// OAuth client override configuration +message OAuthClientConfig { + // OAuth client ID + string client_id = 1; + + // Optional client secret (request only) + optional string client_secret = 2; + + // Redirect URI for OAuth callback + string redirect_uri = 3; + + // OAuth scopes to request + repeated string scopes = 4; + + // Whether override should be used + bool override_enabled = 5; + + // Whether a client secret is stored (response only) + bool has_client_secret = 6; +} + +message GetOAuthClientConfigRequest { + // Provider to configure: google, outlook + string provider = 1; + + // Optional integration type + string integration_type = 2; + + // Optional workspace ID override + string workspace_id = 3; +} + +message GetOAuthClientConfigResponse { + OAuthClientConfig config = 1; +} + +message SetOAuthClientConfigRequest { + // Provider to configure: google, outlook + string provider = 1; + + // Optional integration type + string integration_type = 2; + + // Optional workspace ID override + string workspace_id = 3; + + // OAuth client configuration + OAuthClientConfig config = 4; +} + +message SetOAuthClientConfigResponse { + bool success = 1; +} + // 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.noteflow.ListOidcPresetsRequest\x1a!.noteflow.ListOidcPresetsResponse\x12G\n\rCreateProject\x12\x1e.noteflow.CreateProjectRequest\x1a\x16.noteflow.ProjectProto\x12\x41\n\nGetProject\x12\x1b.noteflow.GetProjectRequest\x1a\x16.noteflow.ProjectProto\x12M\n\x10GetProjectBySlug\x12!.noteflow.GetProjectBySlugRequest\x1a\x16.noteflow.ProjectProto\x12M\n\x0cListProjects\x12\x1d.noteflow.ListProjectsRequest\x1a\x1e.noteflow.ListProjectsResponse\x12G\n\rUpdateProject\x12\x1e.noteflow.UpdateProjectRequest\x1a\x16.noteflow.ProjectProto\x12I\n\x0e\x41rchiveProject\x12\x1f.noteflow.ArchiveProjectRequest\x1a\x16.noteflow.ProjectProto\x12I\n\x0eRestoreProject\x12\x1f.noteflow.RestoreProjectRequest\x1a\x16.noteflow.ProjectProto\x12P\n\rDeleteProject\x12\x1e.noteflow.DeleteProjectRequest\x1a\x1f.noteflow.DeleteProjectResponse\x12Y\n\x10SetActiveProject\x12!.noteflow.SetActiveProjectRequest\x1a\".noteflow.SetActiveProjectResponse\x12Y\n\x10GetActiveProject\x12!.noteflow.GetActiveProjectRequest\x1a\".noteflow.GetActiveProjectResponse\x12W\n\x10\x41\x64\x64ProjectMember\x12!.noteflow.AddProjectMemberRequest\x1a .noteflow.ProjectMembershipProto\x12\x65\n\x17UpdateProjectMemberRole\x12(.noteflow.UpdateProjectMemberRoleRequest\x1a .noteflow.ProjectMembershipProto\x12\x62\n\x13RemoveProjectMember\x12$.noteflow.RemoveProjectMemberRequest\x1a%.noteflow.RemoveProjectMemberResponse\x12_\n\x12ListProjectMembers\x12#.noteflow.ListProjectMembersRequest\x1a$.noteflow.ListProjectMembersResponse\x12S\n\x0eGetCurrentUser\x12\x1f.noteflow.GetCurrentUserRequest\x1a .noteflow.GetCurrentUserResponse\x12S\n\x0eListWorkspaces\x12\x1f.noteflow.ListWorkspacesRequest\x1a .noteflow.ListWorkspacesResponse\x12V\n\x0fSwitchWorkspace\x12 .noteflow.SwitchWorkspaceRequest\x1a!.noteflow.SwitchWorkspaceResponse\x12_\n\x14GetWorkspaceSettings\x12%.noteflow.GetWorkspaceSettingsRequest\x1a .noteflow.WorkspaceSettingsProto\x12\x65\n\x17UpdateWorkspaceSettings\x12(.noteflow.UpdateWorkspaceSettingsRequest\x1a .noteflow.WorkspaceSettingsProtob\x06proto3') _globals = globals() _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) @@ -45,28 +45,28 @@ if not _descriptor._USE_C_DESCRIPTORS: _globals['_LOGENTRYPROTO_DETAILSENTRY']._serialized_options = b'8\001' _globals['_REFRESHOIDCDISCOVERYRESPONSE_RESULTSENTRY']._loaded_options = None _globals['_REFRESHOIDCDISCOVERYRESPONSE_RESULTSENTRY']._serialized_options = b'8\001' - _globals['_UPDATETYPE']._serialized_start=22314 - _globals['_UPDATETYPE']._serialized_end=22455 - _globals['_MEETINGSTATE']._serialized_start=22458 - _globals['_MEETINGSTATE']._serialized_end=22640 - _globals['_SORTORDER']._serialized_start=22642 - _globals['_SORTORDER']._serialized_end=22738 - _globals['_PRIORITY']._serialized_start=22740 - _globals['_PRIORITY']._serialized_end=22834 - _globals['_ASRDEVICE']._serialized_start=22836 - _globals['_ASRDEVICE']._serialized_end=22916 - _globals['_ASRCOMPUTETYPE']._serialized_start=22919 - _globals['_ASRCOMPUTETYPE']._serialized_end=23056 - _globals['_ANNOTATIONTYPE']._serialized_start=23059 - _globals['_ANNOTATIONTYPE']._serialized_end=23223 - _globals['_EXPORTFORMAT']._serialized_start=23225 - _globals['_EXPORTFORMAT']._serialized_end=23345 - _globals['_JOBSTATUS']._serialized_start=23348 - _globals['_JOBSTATUS']._serialized_end=23509 - _globals['_PROCESSINGSTEPSTATUS']._serialized_start=23512 - _globals['_PROCESSINGSTEPSTATUS']._serialized_end=23713 - _globals['_PROJECTROLEPROTO']._serialized_start=23715 - _globals['_PROJECTROLEPROTO']._serialized_end=23837 + _globals['_UPDATETYPE']._serialized_start=22903 + _globals['_UPDATETYPE']._serialized_end=23044 + _globals['_MEETINGSTATE']._serialized_start=23047 + _globals['_MEETINGSTATE']._serialized_end=23229 + _globals['_SORTORDER']._serialized_start=23231 + _globals['_SORTORDER']._serialized_end=23327 + _globals['_PRIORITY']._serialized_start=23329 + _globals['_PRIORITY']._serialized_end=23423 + _globals['_ASRDEVICE']._serialized_start=23425 + _globals['_ASRDEVICE']._serialized_end=23526 + _globals['_ASRCOMPUTETYPE']._serialized_start=23529 + _globals['_ASRCOMPUTETYPE']._serialized_end=23666 + _globals['_ANNOTATIONTYPE']._serialized_start=23669 + _globals['_ANNOTATIONTYPE']._serialized_end=23833 + _globals['_EXPORTFORMAT']._serialized_start=23835 + _globals['_EXPORTFORMAT']._serialized_end=23955 + _globals['_JOBSTATUS']._serialized_start=23958 + _globals['_JOBSTATUS']._serialized_end=24119 + _globals['_PROCESSINGSTEPSTATUS']._serialized_start=24122 + _globals['_PROCESSINGSTEPSTATUS']._serialized_end=24323 + _globals['_PROJECTROLEPROTO']._serialized_start=24325 + _globals['_PROJECTROLEPROTO']._serialized_end=24447 _globals['_AUDIOCHUNK']._serialized_start=29 _globals['_AUDIOCHUNK']._serialized_end=163 _globals['_CONGESTIONINFO']._serialized_start=165 @@ -138,315 +138,325 @@ if not _descriptor._USE_C_DESCRIPTORS: _globals['_SERVERINFO']._serialized_start=4697 _globals['_SERVERINFO']._serialized_end=5212 _globals['_ASRCONFIGURATION']._serialized_start=5215 - _globals['_ASRCONFIGURATION']._serialized_end=5470 - _globals['_GETASRCONFIGURATIONREQUEST']._serialized_start=5472 - _globals['_GETASRCONFIGURATIONREQUEST']._serialized_end=5500 - _globals['_GETASRCONFIGURATIONRESPONSE']._serialized_start=5502 - _globals['_GETASRCONFIGURATIONRESPONSE']._serialized_end=5582 - _globals['_UPDATEASRCONFIGURATIONREQUEST']._serialized_start=5585 - _globals['_UPDATEASRCONFIGURATIONREQUEST']._serialized_end=5779 - _globals['_UPDATEASRCONFIGURATIONRESPONSE']._serialized_start=5781 - _globals['_UPDATEASRCONFIGURATIONRESPONSE']._serialized_end=5907 - _globals['_GETASRCONFIGURATIONJOBSTATUSREQUEST']._serialized_start=5909 - _globals['_GETASRCONFIGURATIONJOBSTATUSREQUEST']._serialized_end=5962 - _globals['_ASRCONFIGURATIONJOBSTATUS']._serialized_start=5965 - _globals['_ASRCONFIGURATIONJOBSTATUS']._serialized_end=6191 - _globals['_STREAMINGCONFIGURATION']._serialized_start=6194 - _globals['_STREAMINGCONFIGURATION']._serialized_end=6427 - _globals['_GETSTREAMINGCONFIGURATIONREQUEST']._serialized_start=6429 - _globals['_GETSTREAMINGCONFIGURATIONREQUEST']._serialized_end=6463 - _globals['_GETSTREAMINGCONFIGURATIONRESPONSE']._serialized_start=6465 - _globals['_GETSTREAMINGCONFIGURATIONRESPONSE']._serialized_end=6557 - _globals['_UPDATESTREAMINGCONFIGURATIONREQUEST']._serialized_start=6560 - _globals['_UPDATESTREAMINGCONFIGURATIONREQUEST']._serialized_end=7015 - _globals['_UPDATESTREAMINGCONFIGURATIONRESPONSE']._serialized_start=7017 - _globals['_UPDATESTREAMINGCONFIGURATIONRESPONSE']._serialized_end=7112 - _globals['_ANNOTATION']._serialized_start=7115 - _globals['_ANNOTATION']._serialized_end=7303 - _globals['_ADDANNOTATIONREQUEST']._serialized_start=7306 - _globals['_ADDANNOTATIONREQUEST']._serialized_end=7472 - _globals['_GETANNOTATIONREQUEST']._serialized_start=7474 - _globals['_GETANNOTATIONREQUEST']._serialized_end=7519 - _globals['_LISTANNOTATIONSREQUEST']._serialized_start=7521 - _globals['_LISTANNOTATIONSREQUEST']._serialized_end=7603 - _globals['_LISTANNOTATIONSRESPONSE']._serialized_start=7605 - _globals['_LISTANNOTATIONSRESPONSE']._serialized_end=7673 - _globals['_UPDATEANNOTATIONREQUEST']._serialized_start=7676 - _globals['_UPDATEANNOTATIONREQUEST']._serialized_end=7848 - _globals['_DELETEANNOTATIONREQUEST']._serialized_start=7850 - _globals['_DELETEANNOTATIONREQUEST']._serialized_end=7898 - _globals['_DELETEANNOTATIONRESPONSE']._serialized_start=7900 - _globals['_DELETEANNOTATIONRESPONSE']._serialized_end=7943 - _globals['_PROCESSINGSTEPSTATE']._serialized_start=7946 - _globals['_PROCESSINGSTEPSTATE']._serialized_end=8080 - _globals['_PROCESSINGSTATUS']._serialized_start=8083 - _globals['_PROCESSINGSTATUS']._serialized_end=8250 - _globals['_EXPORTTRANSCRIPTREQUEST']._serialized_start=8252 - _globals['_EXPORTTRANSCRIPTREQUEST']._serialized_end=8337 - _globals['_EXPORTTRANSCRIPTRESPONSE']._serialized_start=8339 - _globals['_EXPORTTRANSCRIPTRESPONSE']._serialized_end=8427 - _globals['_REFINESPEAKERDIARIZATIONREQUEST']._serialized_start=8429 - _globals['_REFINESPEAKERDIARIZATIONREQUEST']._serialized_end=8504 - _globals['_REFINESPEAKERDIARIZATIONRESPONSE']._serialized_start=8507 - _globals['_REFINESPEAKERDIARIZATIONRESPONSE']._serialized_end=8664 - _globals['_RENAMESPEAKERREQUEST']._serialized_start=8666 - _globals['_RENAMESPEAKERREQUEST']._serialized_end=8758 - _globals['_RENAMESPEAKERRESPONSE']._serialized_start=8760 - _globals['_RENAMESPEAKERRESPONSE']._serialized_end=8826 - _globals['_GETDIARIZATIONJOBSTATUSREQUEST']._serialized_start=8828 - _globals['_GETDIARIZATIONJOBSTATUSREQUEST']._serialized_end=8876 - _globals['_DIARIZATIONJOBSTATUS']._serialized_start=8879 - _globals['_DIARIZATIONJOBSTATUS']._serialized_end=9050 - _globals['_CANCELDIARIZATIONJOBREQUEST']._serialized_start=9052 - _globals['_CANCELDIARIZATIONJOBREQUEST']._serialized_end=9097 - 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_globals['_LISTWORKSPACESRESPONSE']._serialized_start=22488 + _globals['_LISTWORKSPACESRESPONSE']._serialized_end=22579 + _globals['_SWITCHWORKSPACEREQUEST']._serialized_start=22581 + _globals['_SWITCHWORKSPACEREQUEST']._serialized_end=22627 + _globals['_SWITCHWORKSPACERESPONSE']._serialized_start=22629 + _globals['_SWITCHWORKSPACERESPONSE']._serialized_end=22739 + _globals['_GETWORKSPACESETTINGSREQUEST']._serialized_start=22741 + _globals['_GETWORKSPACESETTINGSREQUEST']._serialized_end=22792 + _globals['_UPDATEWORKSPACESETTINGSREQUEST']._serialized_start=22794 + _globals['_UPDATEWORKSPACESETTINGSREQUEST']._serialized_end=22900 + _globals['_NOTEFLOWSERVICE']._serialized_start=24450 + _globals['_NOTEFLOWSERVICE']._serialized_end=32685 # @@protoc_insertion_point(module_scope) diff --git a/src/noteflow/grpc/proto/noteflow_pb2.pyi b/src/noteflow/grpc/proto/noteflow_pb2.pyi index fabc8fd..a0f8963 100644 --- a/src/noteflow/grpc/proto/noteflow_pb2.pyi +++ b/src/noteflow/grpc/proto/noteflow_pb2.pyi @@ -42,6 +42,7 @@ class AsrDevice(int, metaclass=_enum_type_wrapper.EnumTypeWrapper): ASR_DEVICE_UNSPECIFIED: _ClassVar[AsrDevice] ASR_DEVICE_CPU: _ClassVar[AsrDevice] ASR_DEVICE_CUDA: _ClassVar[AsrDevice] + ASR_DEVICE_ROCM: _ClassVar[AsrDevice] class AsrComputeType(int, metaclass=_enum_type_wrapper.EnumTypeWrapper): __slots__ = () @@ -110,6 +111,7 @@ PRIORITY_HIGH: Priority ASR_DEVICE_UNSPECIFIED: AsrDevice ASR_DEVICE_CPU: AsrDevice ASR_DEVICE_CUDA: AsrDevice +ASR_DEVICE_ROCM: AsrDevice ASR_COMPUTE_TYPE_UNSPECIFIED: AsrComputeType ASR_COMPUTE_TYPE_INT8: AsrComputeType ASR_COMPUTE_TYPE_FLOAT16: AsrComputeType @@ -577,7 +579,7 @@ class ServerInfo(_message.Message): 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] = ..., diarization_enabled: bool = ..., diarization_ready: bool = ..., state_version: _Optional[int] = ..., system_ram_total_bytes: _Optional[int] = ..., system_ram_available_bytes: _Optional[int] = ..., gpu_vram_total_bytes: _Optional[int] = ..., gpu_vram_available_bytes: _Optional[int] = ...) -> None: ... class AsrConfiguration(_message.Message): - __slots__ = ("model_size", "device", "compute_type", "is_ready", "cuda_available", "available_model_sizes", "available_compute_types") + __slots__ = ("model_size", "device", "compute_type", "is_ready", "cuda_available", "available_model_sizes", "available_compute_types", "rocm_available", "gpu_backend") MODEL_SIZE_FIELD_NUMBER: _ClassVar[int] DEVICE_FIELD_NUMBER: _ClassVar[int] COMPUTE_TYPE_FIELD_NUMBER: _ClassVar[int] @@ -585,6 +587,8 @@ class AsrConfiguration(_message.Message): CUDA_AVAILABLE_FIELD_NUMBER: _ClassVar[int] AVAILABLE_MODEL_SIZES_FIELD_NUMBER: _ClassVar[int] AVAILABLE_COMPUTE_TYPES_FIELD_NUMBER: _ClassVar[int] + ROCM_AVAILABLE_FIELD_NUMBER: _ClassVar[int] + GPU_BACKEND_FIELD_NUMBER: _ClassVar[int] model_size: str device: AsrDevice compute_type: AsrComputeType @@ -592,7 +596,9 @@ class AsrConfiguration(_message.Message): cuda_available: bool available_model_sizes: _containers.RepeatedScalarFieldContainer[str] available_compute_types: _containers.RepeatedScalarFieldContainer[AsrComputeType] - def __init__(self, model_size: _Optional[str] = ..., device: _Optional[_Union[AsrDevice, str]] = ..., compute_type: _Optional[_Union[AsrComputeType, str]] = ..., is_ready: bool = ..., cuda_available: bool = ..., available_model_sizes: _Optional[_Iterable[str]] = ..., available_compute_types: _Optional[_Iterable[_Union[AsrComputeType, str]]] = ...) -> None: ... + rocm_available: bool + gpu_backend: str + def __init__(self, model_size: _Optional[str] = ..., device: _Optional[_Union[AsrDevice, str]] = ..., compute_type: _Optional[_Union[AsrComputeType, str]] = ..., is_ready: bool = ..., cuda_available: bool = ..., available_model_sizes: _Optional[_Iterable[str]] = ..., available_compute_types: _Optional[_Iterable[_Union[AsrComputeType, str]]] = ..., rocm_available: bool = ..., gpu_backend: _Optional[str] = ...) -> None: ... class GetAsrConfigurationRequest(_message.Message): __slots__ = () @@ -1124,6 +1130,56 @@ class DisconnectOAuthResponse(_message.Message): error_message: str def __init__(self, success: bool = ..., error_message: _Optional[str] = ...) -> None: ... +class OAuthClientConfig(_message.Message): + __slots__ = ("client_id", "client_secret", "redirect_uri", "scopes", "override_enabled", "has_client_secret") + CLIENT_ID_FIELD_NUMBER: _ClassVar[int] + CLIENT_SECRET_FIELD_NUMBER: _ClassVar[int] + REDIRECT_URI_FIELD_NUMBER: _ClassVar[int] + SCOPES_FIELD_NUMBER: _ClassVar[int] + OVERRIDE_ENABLED_FIELD_NUMBER: _ClassVar[int] + HAS_CLIENT_SECRET_FIELD_NUMBER: _ClassVar[int] + client_id: str + client_secret: str + redirect_uri: str + scopes: _containers.RepeatedScalarFieldContainer[str] + override_enabled: bool + has_client_secret: bool + def __init__(self, client_id: _Optional[str] = ..., client_secret: _Optional[str] = ..., redirect_uri: _Optional[str] = ..., scopes: _Optional[_Iterable[str]] = ..., override_enabled: bool = ..., has_client_secret: bool = ...) -> None: ... + +class GetOAuthClientConfigRequest(_message.Message): + __slots__ = ("provider", "integration_type", "workspace_id") + PROVIDER_FIELD_NUMBER: _ClassVar[int] + INTEGRATION_TYPE_FIELD_NUMBER: _ClassVar[int] + WORKSPACE_ID_FIELD_NUMBER: _ClassVar[int] + provider: str + integration_type: str + workspace_id: str + def __init__(self, provider: _Optional[str] = ..., integration_type: _Optional[str] = ..., workspace_id: _Optional[str] = ...) -> None: ... + +class GetOAuthClientConfigResponse(_message.Message): + __slots__ = ("config",) + CONFIG_FIELD_NUMBER: _ClassVar[int] + config: OAuthClientConfig + def __init__(self, config: _Optional[_Union[OAuthClientConfig, _Mapping]] = ...) -> None: ... + +class SetOAuthClientConfigRequest(_message.Message): + __slots__ = ("provider", "integration_type", "workspace_id", "config") + PROVIDER_FIELD_NUMBER: _ClassVar[int] + INTEGRATION_TYPE_FIELD_NUMBER: _ClassVar[int] + WORKSPACE_ID_FIELD_NUMBER: _ClassVar[int] + CONFIG_FIELD_NUMBER: _ClassVar[int] + provider: str + integration_type: str + workspace_id: str + config: OAuthClientConfig + def __init__(self, provider: _Optional[str] = ..., integration_type: _Optional[str] = ..., workspace_id: _Optional[str] = ..., config: _Optional[_Union[OAuthClientConfig, _Mapping]] = ...) -> None: ... + +class SetOAuthClientConfigResponse(_message.Message): + __slots__ = ("success",) + SUCCESS_FIELD_NUMBER: _ClassVar[int] + success: bool + def __init__(self, success: bool = ...) -> None: ... + class RegisterWebhookRequest(_message.Message): __slots__ = ("workspace_id", "url", "events", "name", "secret", "timeout_ms", "max_retries") WORKSPACE_ID_FIELD_NUMBER: _ClassVar[int] diff --git a/src/noteflow/grpc/proto/noteflow_pb2_grpc.py b/src/noteflow/grpc/proto/noteflow_pb2_grpc.py index 8e85da5..8922add 100644 --- a/src/noteflow/grpc/proto/noteflow_pb2_grpc.py +++ b/src/noteflow/grpc/proto/noteflow_pb2_grpc.py @@ -1,15 +1,14 @@ # 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 +import noteflow_pb2 as noteflow__pb2 +GRPC_GENERATED_VERSION = '1.76.0' 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) @@ -18,7 +17,8 @@ except ImportError: 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'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}.' @@ -238,6 +238,16 @@ class NoteFlowServiceStub(object): request_serializer=noteflow__pb2.DisconnectOAuthRequest.SerializeToString, response_deserializer=noteflow__pb2.DisconnectOAuthResponse.FromString, _registered_method=True) + self.GetOAuthClientConfig = channel.unary_unary( + '/noteflow.NoteFlowService/GetOAuthClientConfig', + request_serializer=noteflow__pb2.GetOAuthClientConfigRequest.SerializeToString, + response_deserializer=noteflow__pb2.GetOAuthClientConfigResponse.FromString, + _registered_method=True) + self.SetOAuthClientConfig = channel.unary_unary( + '/noteflow.NoteFlowService/SetOAuthClientConfig', + request_serializer=noteflow__pb2.SetOAuthClientConfigRequest.SerializeToString, + response_deserializer=noteflow__pb2.SetOAuthClientConfigResponse.FromString, + _registered_method=True) self.RegisterWebhook = channel.unary_unary( '/noteflow.NoteFlowService/RegisterWebhook', request_serializer=noteflow__pb2.RegisterWebhookRequest.SerializeToString, @@ -730,6 +740,18 @@ class NoteFlowServiceServicer(object): context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') + def GetOAuthClientConfig(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 SetOAuthClientConfig(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 RegisterWebhook(self, request, context): """Webhook management (Sprint 6) """ @@ -1221,6 +1243,16 @@ def add_NoteFlowServiceServicer_to_server(servicer, server): request_deserializer=noteflow__pb2.DisconnectOAuthRequest.FromString, response_serializer=noteflow__pb2.DisconnectOAuthResponse.SerializeToString, ), + 'GetOAuthClientConfig': grpc.unary_unary_rpc_method_handler( + servicer.GetOAuthClientConfig, + request_deserializer=noteflow__pb2.GetOAuthClientConfigRequest.FromString, + response_serializer=noteflow__pb2.GetOAuthClientConfigResponse.SerializeToString, + ), + 'SetOAuthClientConfig': grpc.unary_unary_rpc_method_handler( + servicer.SetOAuthClientConfig, + request_deserializer=noteflow__pb2.SetOAuthClientConfigRequest.FromString, + response_serializer=noteflow__pb2.SetOAuthClientConfigResponse.SerializeToString, + ), 'RegisterWebhook': grpc.unary_unary_rpc_method_handler( servicer.RegisterWebhook, request_deserializer=noteflow__pb2.RegisterWebhookRequest.FromString, @@ -2546,6 +2578,60 @@ class NoteFlowService(object): metadata, _registered_method=True) + @staticmethod + def GetOAuthClientConfig(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/GetOAuthClientConfig', + noteflow__pb2.GetOAuthClientConfigRequest.SerializeToString, + noteflow__pb2.GetOAuthClientConfigResponse.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + + @staticmethod + def SetOAuthClientConfig(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/SetOAuthClientConfig', + noteflow__pb2.SetOAuthClientConfigRequest.SerializeToString, + noteflow__pb2.SetOAuthClientConfigResponse.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + _registered_method=True) + @staticmethod def RegisterWebhook(request, target, diff --git a/src/noteflow/grpc/service.py b/src/noteflow/grpc/service.py index e90da5a..c8d6bff 100644 --- a/src/noteflow/grpc/service.py +++ b/src/noteflow/grpc/service.py @@ -31,6 +31,7 @@ from .identity.singleton import default_identity_service from .mixins import ( AnnotationMixin, AsrConfigMixin, + CalendarOAuthConfigMixin, CalendarMixin, DiarizationJobMixin, DiarizationMixin, @@ -93,6 +94,7 @@ class NoteFlowServicer( ExportMixin, EntitiesMixin, CalendarMixin, + CalendarOAuthConfigMixin, WebhooksMixin, SyncMixin, ObservabilityMixin, diff --git a/src/noteflow/infrastructure/asr/engine.py b/src/noteflow/infrastructure/asr/engine.py index 3dac9fd..1dcc85d 100644 --- a/src/noteflow/infrastructure/asr/engine.py +++ b/src/noteflow/infrastructure/asr/engine.py @@ -9,6 +9,10 @@ import asyncio from collections.abc import Iterable, Iterator from typing import TYPE_CHECKING, Final, Protocol, TypedDict, Unpack, cast +from noteflow.application.services.asr_config.types import ( + INVALID_MODEL_SIZE_PREFIX, + VALID_SIZES_SUFFIX, +) from noteflow.infrastructure.asr.dto import AsrResult, WordTiming from noteflow.infrastructure.logging import get_logger, log_timing @@ -116,7 +120,7 @@ class FasterWhisperEngine: if model_size not in VALID_MODEL_SIZES: raise ValueError( - f"Invalid model size: {model_size}. Valid sizes: {', '.join(VALID_MODEL_SIZES)}" + f"{INVALID_MODEL_SIZE_PREFIX}{model_size}{VALID_SIZES_SUFFIX}{', '.join(VALID_MODEL_SIZES)}" ) with log_timing( diff --git a/src/noteflow/infrastructure/asr/factory.py b/src/noteflow/infrastructure/asr/factory.py new file mode 100644 index 0000000..773ce24 --- /dev/null +++ b/src/noteflow/infrastructure/asr/factory.py @@ -0,0 +1,207 @@ +"""ASR engine factory for backend selection. + +Provides factory functions to create ASR engines based on available +GPU backends and user preferences. Handles automatic device detection +and fallback logic. +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING + +from noteflow.application.services.asr_config.types import AsrComputeType +from noteflow.domain.ports.gpu import GpuBackend +from noteflow.infrastructure.gpu.detection import ( + detect_gpu_backend, + get_gpu_info, + is_ctranslate2_rocm_available, + is_rocm_architecture_supported, +) +from noteflow.infrastructure.logging import get_logger + +if TYPE_CHECKING: + from noteflow.infrastructure.asr.protocols import AsrEngine + +logger = get_logger(__name__) + + +class EngineCreationError(Exception): + """Raised when ASR engine creation fails.""" + + +def create_asr_engine( + device: str = "auto", + compute_type: str = "int8", + *, + prefer_faster_whisper: bool = True, +) -> AsrEngine: + """Create an ASR engine for the specified device. + + Auto-detects GPU backends and selects appropriate implementation. + Falls back to PyTorch Whisper when faster-whisper is unavailable. + + Args: + device: Target device ("auto", "cpu", "cuda", "rocm"). + compute_type: Compute precision ("int8", "float16", "float32"). + prefer_faster_whisper: Prefer CTranslate2-based faster-whisper. + + Returns: + An ASR engine implementing AsrEngine. + + Raises: + EngineCreationError: If engine creation fails. + """ + resolved_device = resolve_device(device) + + logger.info( + "Creating ASR engine", + requested_device=device, + resolved_device=resolved_device, + compute_type=compute_type, + prefer_faster_whisper=prefer_faster_whisper, + ) + + if resolved_device == "cpu": + return _create_cpu_engine(compute_type) + + if resolved_device == GpuBackend.CUDA.value: + return _create_cuda_engine(compute_type, prefer_faster_whisper) + + if resolved_device == GpuBackend.ROCM.value: + return _create_rocm_engine(compute_type, prefer_faster_whisper) + + msg = f"Unsupported device: {resolved_device}" + raise EngineCreationError(msg) + + +def resolve_device(device: str) -> str: + """Resolve 'auto' device to actual backend. + + Args: + device: Requested device string. + + Returns: + Resolved device string ("cpu", "cuda", or "rocm"). + """ + if device != "auto": + return device + + backend = detect_gpu_backend() + + if backend == GpuBackend.CUDA: + return GpuBackend.CUDA.value + + if backend == GpuBackend.ROCM: + # Check if ROCm architecture is supported for ASR + gpu_info = get_gpu_info() + if gpu_info and is_rocm_architecture_supported(gpu_info.architecture): + return GpuBackend.ROCM.value + logger.warning( + "ROCm detected but architecture may not be supported, falling back to CPU", + architecture=gpu_info.architecture if gpu_info else None, + ) + return "cpu" + + # MPS not supported by faster-whisper; PyTorch Whisper may work but is untested + if backend == GpuBackend.MPS: + logger.info("MPS detected but not supported for ASR, using CPU") + + return "cpu" + + +def _create_cpu_engine(compute_type: str) -> AsrEngine: + """Create CPU engine (always uses faster-whisper). + + Args: + compute_type: Requested compute type. + + Returns: + ASR engine for CPU. + """ + from noteflow.infrastructure.asr.engine import FasterWhisperEngine + + # CPU only supports int8 and float32 + if compute_type == AsrComputeType.FLOAT16.value: + logger.debug("float16 not supported on CPU, using float32") + compute_type = AsrComputeType.FLOAT32.value + + return FasterWhisperEngine(device="cpu", compute_type=compute_type) + + +def _create_cuda_engine( + compute_type: str, + prefer_faster_whisper: bool, +) -> AsrEngine: + """Create CUDA engine. + + Args: + compute_type: Compute precision. + prefer_faster_whisper: Whether to prefer faster-whisper. + + Returns: + ASR engine for CUDA. + """ + if prefer_faster_whisper: + from noteflow.infrastructure.asr.engine import FasterWhisperEngine + + return FasterWhisperEngine(device="cuda", compute_type=compute_type) + + return _create_pytorch_engine("cuda", compute_type) + + +def _create_rocm_engine( + compute_type: str, + prefer_faster_whisper: bool, +) -> AsrEngine: + """Create ROCm engine. + + Attempts to use CTranslate2-ROCm fork if available, + falls back to PyTorch Whisper otherwise. + + Args: + compute_type: Compute precision. + prefer_faster_whisper: Whether to prefer faster-whisper. + + Returns: + ASR engine for ROCm. + """ + if prefer_faster_whisper and is_ctranslate2_rocm_available(): + try: + from noteflow.infrastructure.asr.rocm_engine import FasterWhisperRocmEngine + + logger.info("Using CTranslate2-ROCm for ASR") + return FasterWhisperRocmEngine(compute_type=compute_type) + except ImportError as e: + logger.warning( + "CTranslate2-ROCm import failed, falling back to PyTorch Whisper", + error=str(e), + ) + + logger.info("Using PyTorch Whisper for ROCm ASR") + # ROCm uses "cuda" device string internally via HIP + return _create_pytorch_engine("cuda", compute_type) + + +def _create_pytorch_engine(device: str, compute_type: str) -> AsrEngine: + """Create PyTorch Whisper engine (universal fallback). + + Args: + device: Target device. + compute_type: Compute precision. + + Returns: + PyTorch-based Whisper engine. + + Raises: + EngineCreationError: If openai-whisper is not installed. + """ + try: + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + return WhisperPyTorchEngine(device=device, compute_type=compute_type) + except ImportError as e: + msg = ( + "Neither CTranslate2 nor openai-whisper is available. " + "Install one of: pip install faster-whisper OR pip install openai-whisper" + ) + raise EngineCreationError(msg) from e diff --git a/src/noteflow/infrastructure/asr/protocols.py b/src/noteflow/infrastructure/asr/protocols.py index db28e96..c917632 100644 --- a/src/noteflow/infrastructure/asr/protocols.py +++ b/src/noteflow/infrastructure/asr/protocols.py @@ -61,6 +61,16 @@ class AsrEngine(Protocol): """Return the loaded model size, or None if not loaded.""" ... + @property + def device(self) -> str: + """Return the device this engine runs on (cpu, cuda, rocm).""" + ... + + @property + def compute_type(self) -> str: + """Return the compute precision (int8, float16, float32).""" + ... + def unload(self) -> None: """Unload the model to free memory.""" ... diff --git a/src/noteflow/infrastructure/asr/pytorch_engine.py b/src/noteflow/infrastructure/asr/pytorch_engine.py new file mode 100644 index 0000000..dba507f --- /dev/null +++ b/src/noteflow/infrastructure/asr/pytorch_engine.py @@ -0,0 +1,302 @@ +"""PyTorch-based Whisper engine (universal fallback). + +Provides a pure PyTorch implementation using the official openai-whisper +package. Works on any PyTorch-supported device (CPU, CUDA, ROCm via HIP). + +This engine is slower than CTranslate2-based engines but provides +universal compatibility across all GPU backends. +""" + +from __future__ import annotations + +import gc +from collections.abc import Iterator +from pathlib import Path +from typing import TYPE_CHECKING, Protocol, TypedDict, cast + +from noteflow.application.services.asr_config.types import ( + INVALID_MODEL_SIZE_PREFIX, + VALID_SIZES_SUFFIX, + AsrComputeType, +) +from noteflow.domain.constants.fields import START +from noteflow.infrastructure.asr.dto import AsrResult, WordTiming +from noteflow.infrastructure.logging import get_logger + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + + +logger = get_logger(__name__) + + +class _WordDict(TypedDict, total=False): + """TypedDict for whisper word timing.""" + + word: str + start: float + end: float + probability: float + + +class _SegmentDict(TypedDict, total=False): + """TypedDict for whisper segment.""" + + text: str + start: float + end: float + words: list[_WordDict] + avg_logprob: float + no_speech_prob: float + + +class _TranscriptionResult(TypedDict, total=False): + """TypedDict for whisper transcription result.""" + + segments: list[_SegmentDict] + language: str + + +class _WhisperModel(Protocol): + """Protocol for openai-whisper Whisper model type.""" + + def transcribe( + self, + audio: object, + **kwargs: object, + ) -> _TranscriptionResult: + """Transcribe audio.""" + ... + + def half(self) -> "_WhisperModel": + """Convert model to half precision.""" + ... + +# Valid model sizes for openai-whisper +PYTORCH_VALID_MODEL_SIZES: tuple[str, ...] = ( + "tiny", + "tiny.en", + "base", + "base.en", + "small", + "small.en", + "medium", + "medium.en", + "large", + "large-v1", + "large-v2", + "large-v3", + "turbo", +) + + +class WhisperPyTorchEngine: + """Pure PyTorch Whisper implementation. + + Uses the official openai-whisper package for transcription. + Works on any PyTorch-supported device (CPU, CUDA, ROCm via HIP). + + This engine is slower than CTranslate2-based engines but provides + universal compatibility across all GPU backends. + """ + + def __init__( + self, + device: str = "cpu", + compute_type: str = "float32", + ) -> None: + """Initialize PyTorch Whisper engine. + + Args: + device: Target device ("cpu" or "cuda"). + For ROCm, use "cuda" - HIP handles the translation. + compute_type: Compute precision. Only "float16" and "float32" + are supported. "int8" will be treated as "float32". + """ + self._device = device + self._compute_type = self._normalize_compute_type(compute_type) + self._model_size: str | None = None + self._model: _WhisperModel | None = None + + @staticmethod + def _normalize_compute_type(compute_type: str) -> str: + """Normalize compute type for PyTorch. + + PyTorch Whisper doesn't support int8, map to float32. + """ + if compute_type == "int8": + logger.debug("int8 not supported in PyTorch Whisper, using float32") + return "float32" + return compute_type + + @property + def device(self) -> str: + """Return the device this engine runs on.""" + return self._device + + @property + def compute_type(self) -> str: + """Return the compute precision.""" + return self._compute_type + + @property + def model_size(self) -> str | None: + """Return the loaded model size.""" + return self._model_size + + @property + def is_loaded(self) -> bool: + """Return True if model is loaded.""" + return self._model is not None + + def load_model(self, model_size: str = "base") -> None: + """Load the specified Whisper model. + + Args: + model_size: Whisper model size (e.g., "base", "small", "large-v3"). + + Raises: + ValueError: If model_size is invalid. + RuntimeError: If model loading fails. + """ + import whisper + + if model_size not in PYTORCH_VALID_MODEL_SIZES: + valid_sizes = ", ".join(PYTORCH_VALID_MODEL_SIZES) + msg = f"{INVALID_MODEL_SIZE_PREFIX}{model_size}{VALID_SIZES_SUFFIX}{valid_sizes}" + raise ValueError(msg) + + logger.info( + "Loading PyTorch Whisper model", + model_size=model_size, + device=self._device, + compute_type=self._compute_type, + ) + + try: + # Load model - cast untyped whisper.load_model return + load_fn = getattr(whisper, "load_model") + model = cast(_WhisperModel, load_fn(model_size, device=self._device)) + + # Apply compute type (half precision for GPU) + if self._compute_type == AsrComputeType.FLOAT16.value and self._device != "cpu": + model = model.half() + + self._model = model + self._model_size = model_size + + logger.info("PyTorch Whisper model loaded successfully") + except (RuntimeError, OSError, ValueError) as e: + msg = f"Failed to load model: {e}" + raise RuntimeError(msg) from e + + def unload(self) -> None: + """Unload the model and free resources.""" + if self._model is not None: + import torch + + del self._model + self._model = None + self._model_size = None + + # Force garbage collection and clear GPU cache + gc.collect() + if self._device != "cpu" and torch.cuda.is_available(): + torch.cuda.empty_cache() + + logger.debug("PyTorch Whisper model unloaded") + + def transcribe( + self, + audio: NDArray[np.float32], + language: str | None = None, + ) -> Iterator[AsrResult]: + """Transcribe audio samples. + + Args: + audio: Audio samples as float32 array, 16kHz mono. + language: Optional language code. + + Yields: + AsrResult for each detected segment. + """ + if self._model is None: + msg = "Model not loaded. Call load_model() first." + raise RuntimeError(msg) + + # Build transcription options + options: dict[str, object] = { + "word_timestamps": True, + "fp16": self._compute_type == AsrComputeType.FLOAT16.value and self._device != "cpu", + } + + if language is not None: + options["language"] = language + + # Transcribe + result = self._model.transcribe(audio, **options) + + # Convert to our segment format + segments = result.get("segments", []) + detected_language = result.get("language", "en") + + for segment in segments: + words = self._extract_word_timings(segment) + + yield AsrResult( + text=segment.get("text", "").strip(), + start=segment.get(START, 0.0), + end=segment.get("end", 0.0), + words=tuple(words), + language=detected_language, + language_probability=1.0, # Not available in base whisper + avg_logprob=segment.get("avg_logprob", 0.0), + no_speech_prob=segment.get("no_speech_prob", 0.0), + ) + + def _extract_word_timings(self, segment: _SegmentDict) -> list[WordTiming]: + """Extract word timings from a segment. + + Args: + segment: Whisper segment dictionary. + + Returns: + List of WordTiming objects. + """ + words_data = segment.get("words", []) + if not words_data: + return [] + + return [ + WordTiming( + word=w.get("word", ""), + start=w.get(START, 0.0), + end=w.get("end", 0.0), + probability=w.get("probability", 0.0), + ) + for w in words_data + ] + + def transcribe_file( + self, + audio_path: Path, + *, + language: str | None = None, + ) -> Iterator[AsrResult]: + """Transcribe audio file. + + Args: + audio_path: Path to audio file. + language: Optional language code. + + Yields: + AsrResult for each detected segment. + """ + import whisper + + # Load audio using whisper's utility - cast untyped return + load_audio_fn = getattr(whisper, "load_audio") + audio: NDArray[np.float32] = load_audio_fn(str(audio_path)) + + yield from self.transcribe(audio, language=language) diff --git a/src/noteflow/infrastructure/asr/rocm_engine.py b/src/noteflow/infrastructure/asr/rocm_engine.py new file mode 100644 index 0000000..c1d7672 --- /dev/null +++ b/src/noteflow/infrastructure/asr/rocm_engine.py @@ -0,0 +1,246 @@ +"""ROCm-specific faster-whisper engine. + +Provides a faster-whisper engine optimized for AMD GPUs using the +CTranslate2-ROCm community fork. Falls back to the standard FasterWhisperEngine +when CTranslate2-ROCm is not available. + +Requirements: + - PyTorch with ROCm support + - CTranslate2-ROCm fork: pip install git+https://github.com/arlo-phoenix/CTranslate2-rocm.git + - faster-whisper: pip install faster-whisper +""" + +from __future__ import annotations + +from collections.abc import Iterable, Iterator +from typing import TYPE_CHECKING, Protocol + +from noteflow.application.services.asr_config.types import ( + INVALID_MODEL_SIZE_PREFIX, + VALID_SIZES_SUFFIX, + AsrComputeType, +) +from noteflow.infrastructure.asr.dto import AsrResult, WordTiming +from noteflow.infrastructure.asr.pytorch_engine import ( + PYTORCH_VALID_MODEL_SIZES, +) +from noteflow.infrastructure.logging import get_logger + +if TYPE_CHECKING: + import numpy as np + from numpy.typing import NDArray + + +logger = get_logger(__name__) + + +# Protocol classes for faster-whisper types (untyped library) +class _WhisperWord(Protocol): + """Protocol for faster-whisper Word type.""" + + word: str + start: float + end: float + probability: float + + +class _WhisperSegment(Protocol): + """Protocol for faster-whisper Segment type.""" + + text: str + start: float + end: float + words: Iterable[_WhisperWord] | None + avg_logprob: float + no_speech_prob: float + + +class _WhisperInfo(Protocol): + """Protocol for faster-whisper TranscriptionInfo type.""" + + language: str + language_probability: float + + + +class FasterWhisperRocmEngine: + """ROCm-specific faster-whisper engine. + + Uses the CTranslate2-ROCm fork for AMD GPU acceleration. + Provides the same interface as FasterWhisperEngine but with + ROCm-specific optimizations. + """ + + def __init__( + self, + compute_type: str = AsrComputeType.FLOAT16.value, + num_workers: int = 1, + ) -> None: + """Initialize ROCm engine. + + Args: + compute_type: Computation type ("int8", "float16", "float32"). + num_workers: Number of worker threads. + """ + self._compute_type = compute_type + self._num_workers = num_workers + self._model: object | None = None + self._model_size: str | None = None + + # Verify ROCm is available + self._verify_rocm_available() + + def _verify_rocm_available(self) -> None: + """Verify ROCm/HIP is available.""" + import torch + + if not torch.cuda.is_available(): + msg = "ROCm/CUDA not available" + raise RuntimeError(msg) + + if not (hasattr(torch.version, "hip") and torch.version.hip): + logger.warning( + "Running on CUDA instead of ROCm. " + "For optimal performance on AMD GPUs, use PyTorch with ROCm support." + ) + + @property + def device(self) -> str: + """Return the device (always 'rocm' for this engine).""" + return "rocm" + + @property + def compute_type(self) -> str: + """Return the compute type.""" + return self._compute_type + + @property + def model_size(self) -> str | None: + """Return the loaded model size.""" + return self._model_size + + @property + def is_loaded(self) -> bool: + """Return True if model is loaded.""" + return self._model is not 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 PYTORCH_VALID_MODEL_SIZES: + valid_sizes = ", ".join(PYTORCH_VALID_MODEL_SIZES) + msg = f"{INVALID_MODEL_SIZE_PREFIX}{model_size}{VALID_SIZES_SUFFIX}{valid_sizes}" + raise ValueError(msg) + + logger.info( + "Loading faster-whisper model for ROCm", + model_size=model_size, + compute_type=self._compute_type, + ) + + try: + # Use "cuda" device string - HIP maps this to ROCm + self._model = WhisperModel( + model_size, + device="cuda", # HIP uses CUDA device string + compute_type=self._compute_type, + num_workers=self._num_workers, + ) + self._model_size = model_size + + logger.info("ROCm faster-whisper model loaded successfully") + except (RuntimeError, OSError, ValueError) as e: + msg = f"Failed to load model on ROCm: {e}" + raise RuntimeError(msg) from e + + def unload(self) -> None: + """Unload the model to free memory.""" + import gc + + import torch + + self._model = None + self._model_size = None + + # Force garbage collection and clear GPU cache + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + + logger.info("ROCm model unloaded") + + 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: + msg = "Model not loaded. Call load_model() first." + raise RuntimeError(msg) + + # Call transcribe on untyped faster-whisper model + transcribe_fn = getattr(self._model, "transcribe") + result = transcribe_fn( + audio, + language=language, + word_timestamps=True, + beam_size=5, + vad_filter=True, + ) + segments: Iterable[_WhisperSegment] = result[0] + info: _WhisperInfo = result[1] + + logger.debug( + "Detected language: %s (prob: %.2f)", + info.language, + info.language_probability, + ) + + for segment in segments: + words = self._extract_word_timings(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, + ) + + def _extract_word_timings( + self, + words: Iterable[_WhisperWord] | None, + ) -> list[WordTiming]: + """Extract word timings from segment words.""" + if not words: + return [] + + return [ + WordTiming( + word=word.word, + start=word.start, + end=word.end, + probability=word.probability, + ) + for word in words + ] diff --git a/src/noteflow/infrastructure/calendar/oauth/_flow_mixin.py b/src/noteflow/infrastructure/calendar/oauth/_flow_mixin.py index 5941884..7da0a10 100644 --- a/src/noteflow/infrastructure/calendar/oauth/_flow_mixin.py +++ b/src/noteflow/infrastructure/calendar/oauth/_flow_mixin.py @@ -2,7 +2,7 @@ from __future__ import annotations -from noteflow.domain.value_objects import OAuthProvider, OAuthState, OAuthTokens +from noteflow.domain.value_objects import OAuthClientConfig, OAuthProvider, OAuthState, OAuthTokens from noteflow.infrastructure.calendar.oauth_flow import ( OAuthFlowConfig, get_scopes, @@ -28,12 +28,12 @@ class OAuthManagerFlowMixin(OAuthManagerBase): self, provider: OAuthProvider, redirect_uri: str, + client_config: OAuthClientConfig | None = None, ) -> tuple[str, str]: """Generate OAuth authorization URL with PKCE.""" self._cleanup_expired_states() - self._validate_provider_config(provider) + self._validate_provider_config(provider, client_config) self._check_rate_limit(provider) - with self._state_lock: if len(self._pending_states) >= self.MAX_PENDING_STATES: logger.warning( @@ -45,11 +45,15 @@ class OAuthManagerFlowMixin(OAuthManagerBase): raise OAuthError("Too many pending OAuth flows. Please try again later.") - client_id, _ = self._get_credentials(provider) - scopes = get_scopes( - provider, - google_scopes=self.GOOGLE_SCOPES, - outlook_scopes=self.OUTLOOK_SCOPES, + client_id, _ = self._get_credentials(provider, client_config) + scopes = ( + list(client_config.scopes) + if client_config and client_config.scopes + else get_scopes( + provider, + google_scopes=self.GOOGLE_SCOPES, + outlook_scopes=self.OUTLOOK_SCOPES, + ) ) state_token, oauth_state, auth_url = prepare_oauth_flow( OAuthFlowConfig( @@ -63,7 +67,6 @@ class OAuthManagerFlowMixin(OAuthManagerBase): ) ) self._pending_states[state_token] = oauth_state - logger.info( "oauth_initiated", provider=provider.value, @@ -77,6 +80,7 @@ class OAuthManagerFlowMixin(OAuthManagerBase): provider: OAuthProvider, code: str, state: str, + client_config: OAuthClientConfig | None = None, ) -> OAuthTokens: """Exchange authorization code for tokens.""" with self._state_lock: @@ -98,8 +102,8 @@ class OAuthManagerFlowMixin(OAuthManagerBase): tokens = await self._exchange_code( provider=provider, code=code, - redirect_uri=oauth_state.redirect_uri, - code_verifier=oauth_state.code_verifier, + oauth_state=oauth_state, + client_config=client_config, ) logger.info("Completed OAuth flow for provider=%s", provider.value) diff --git a/src/noteflow/infrastructure/calendar/oauth/_manager_mixin.py b/src/noteflow/infrastructure/calendar/oauth/_manager_mixin.py index 7e887b1..918d731 100644 --- a/src/noteflow/infrastructure/calendar/oauth/_manager_mixin.py +++ b/src/noteflow/infrastructure/calendar/oauth/_manager_mixin.py @@ -9,7 +9,12 @@ import httpx from noteflow.config.constants import HTTP_STATUS_OK from noteflow.domain.constants.fields import CODE -from noteflow.domain.value_objects import OAuthProvider, OAuthTokens +from noteflow.domain.value_objects import ( + OAuthClientConfig, + OAuthProvider, + OAuthState, + OAuthTokens, +) from noteflow.infrastructure.calendar.oauth_flow import ( get_token_url, parse_token_response, @@ -30,9 +35,13 @@ class OAuthManagerHelpersMixin(OAuthManagerBase): _settings: CalendarIntegrationSettings _auth_attempts: dict[str, list[datetime]] - def _validate_provider_config(self, provider: OAuthProvider) -> None: + def _validate_provider_config( + self, + provider: OAuthProvider, + client_config: OAuthClientConfig | None = None, + ) -> None: """Validate that provider credentials are configured.""" - client_id, client_secret = self._get_credentials(provider) + client_id, client_secret = self._get_credentials(provider, client_config) if not client_id or not client_secret: from .oauth_manager import OAuthError @@ -40,8 +49,14 @@ class OAuthManagerHelpersMixin(OAuthManagerBase): f"OAuth credentials not configured for {provider.value}" ) - def _get_credentials(self, provider: OAuthProvider) -> tuple[str, str]: + def _get_credentials( + self, + provider: OAuthProvider, + client_config: OAuthClientConfig | None = None, + ) -> tuple[str, str]: """Get client credentials for provider.""" + if client_config is not None: + return client_config.client_id, client_config.client_secret if provider == OAuthProvider.GOOGLE: return ( self._settings.google_client_id, @@ -56,8 +71,8 @@ class OAuthManagerHelpersMixin(OAuthManagerBase): self, provider: OAuthProvider, code: str, - redirect_uri: str, - code_verifier: str, + oauth_state: OAuthState, + client_config: OAuthClientConfig | None = None, ) -> OAuthTokens: """Exchange authorization code for tokens.""" token_url = get_token_url( @@ -65,14 +80,14 @@ class OAuthManagerHelpersMixin(OAuthManagerBase): google_url=self.GOOGLE_TOKEN_URL, outlook_url=self.OUTLOOK_TOKEN_URL, ) - client_id, client_secret = self._get_credentials(provider) + client_id, client_secret = self._get_credentials(provider, client_config) data = { "grant_type": "authorization_code", CODE: code, - "redirect_uri": redirect_uri, + "redirect_uri": oauth_state.redirect_uri, "client_id": client_id, - "code_verifier": code_verifier, + "code_verifier": oauth_state.code_verifier, } if provider == OAuthProvider.GOOGLE: diff --git a/src/noteflow/infrastructure/calendar/oauth/_token_mixin.py b/src/noteflow/infrastructure/calendar/oauth/_token_mixin.py index 33deeb7..d9c0236 100644 --- a/src/noteflow/infrastructure/calendar/oauth/_token_mixin.py +++ b/src/noteflow/infrastructure/calendar/oauth/_token_mixin.py @@ -10,7 +10,7 @@ from noteflow.config.constants import ( HTTP_STATUS_OK, OAUTH_FIELD_REFRESH_TOKEN, ) -from noteflow.domain.value_objects import OAuthProvider, OAuthTokens +from noteflow.domain.value_objects import OAuthClientConfig, OAuthProvider, OAuthTokens from noteflow.infrastructure.calendar.oauth_flow import ( get_revoke_url, get_token_url, @@ -30,6 +30,7 @@ class OAuthManagerTokenMixin(OAuthManagerBase): self, provider: OAuthProvider, refresh_token: str, + client_config: OAuthClientConfig | None = None, ) -> OAuthTokens: """Refresh expired access token.""" token_url = get_token_url( @@ -37,8 +38,7 @@ class OAuthManagerTokenMixin(OAuthManagerBase): google_url=self.GOOGLE_TOKEN_URL, outlook_url=self.OUTLOOK_TOKEN_URL, ) - client_id, client_secret = self._get_credentials(provider) - + client_id, client_secret = self._get_credentials(provider, client_config) data = { "grant_type": OAUTH_FIELD_REFRESH_TOKEN, OAUTH_FIELD_REFRESH_TOKEN: refresh_token, diff --git a/src/noteflow/infrastructure/diarization/engine/_device_mixin.py b/src/noteflow/infrastructure/diarization/engine/_device_mixin.py index 0538634..532f28c 100644 --- a/src/noteflow/infrastructure/diarization/engine/_device_mixin.py +++ b/src/noteflow/infrastructure/diarization/engine/_device_mixin.py @@ -32,5 +32,8 @@ class DiarizationEngineDeviceMixin(DiarizationEngineBase): import torch if torch.cuda.is_available(): + # Explicitly log ROCm detection for debugging clarity + if hasattr(torch.version, "hip") and torch.version.hip: + logger.info("Detected ROCm environment (using cuda backend)") return "cuda" return "mps" if torch.backends.mps.is_available() else "cpu" diff --git a/src/noteflow/infrastructure/gpu/__init__.py b/src/noteflow/infrastructure/gpu/__init__.py new file mode 100644 index 0000000..176626b --- /dev/null +++ b/src/noteflow/infrastructure/gpu/__init__.py @@ -0,0 +1,25 @@ +"""GPU detection and utilities for multi-backend support. + +This module provides GPU backend detection (CUDA, ROCm, MPS) and utilities +for determining the best compute device for ASR and diarization workloads. +""" + +from noteflow.infrastructure.gpu.detection import ( + SUPPORTED_AMD_ARCHITECTURES, + GpuDetectionError, + detect_gpu_backend, + get_gpu_info, + get_rocm_environment_info, + is_ctranslate2_rocm_available, + is_rocm_architecture_supported, +) + +__all__ = [ + "SUPPORTED_AMD_ARCHITECTURES", + "GpuDetectionError", + "detect_gpu_backend", + "get_gpu_info", + "get_rocm_environment_info", + "is_ctranslate2_rocm_available", + "is_rocm_architecture_supported", +] diff --git a/src/noteflow/infrastructure/gpu/detection.py b/src/noteflow/infrastructure/gpu/detection.py new file mode 100644 index 0000000..de46384 --- /dev/null +++ b/src/noteflow/infrastructure/gpu/detection.py @@ -0,0 +1,237 @@ +"""GPU backend detection utilities. + +Provides functions to detect available GPU backends (CUDA, ROCm, MPS) +and gather hardware information for compute device selection. +""" + +from __future__ import annotations + +import os +from functools import cache +from typing import Final, Protocol, cast + +from noteflow.domain.constants.fields import UNKNOWN +from noteflow.domain.ports.gpu import GpuBackend, GpuInfo +from noteflow.infrastructure.logging import get_logger + + +logger = get_logger(__name__) + + +class _DeviceProperties(Protocol): + """Protocol for torch.cuda.get_device_properties return type.""" + + name: str + total_memory: int + major: int + minor: int + + +# Officially supported AMD GPU architectures for ROCm. +# Keep in sync with AMD ROCm compatibility matrix. +# See: https://rocm.docs.amd.com/en/latest/compatibility/compatibility-matrix.html +SUPPORTED_AMD_ARCHITECTURES: Final[frozenset[str]] = frozenset({ + # CDNA (Instinct datacenter GPUs) + "gfx906", # MI50 + "gfx908", # MI100 + "gfx90a", # MI210, MI250, MI250X + "gfx942", # MI300X, MI300A + # RDNA 2 (Consumer/Workstation) + "gfx1030", # RX 6800, 6800 XT, 6900 XT + "gfx1031", # RX 6700 XT + "gfx1032", # RX 6600, 6600 XT + # RDNA 3 (Consumer/Workstation) + "gfx1100", # RX 7900 XTX, 7900 XT + "gfx1101", # RX 7800 XT, 7700 XT + "gfx1102", # RX 7600 +}) + + +@cache +def detect_gpu_backend() -> GpuBackend: + """Detect the available GPU backend. + + Results are cached for performance. The cache is cleared when + the module is reloaded. + + Returns: + GpuBackend enum indicating the detected backend. + """ + try: + import torch + except ImportError: + logger.debug("PyTorch not installed, no GPU backend available") + return GpuBackend.NONE + + # Check CUDA/ROCm availability + if torch.cuda.is_available(): + # Distinguish between CUDA and ROCm via HIP version + if hasattr(torch.version, "hip") and torch.version.hip: + logger.info("ROCm/HIP backend detected", version=torch.version.hip) + return GpuBackend.ROCM + + cuda_version = torch.version.cuda or UNKNOWN + logger.info("CUDA backend detected", version=cuda_version) + return GpuBackend.CUDA + + # Check Apple Metal Performance Shaders + if hasattr(torch.backends, "mps") and torch.backends.mps.is_available(): + logger.info("MPS backend detected") + return GpuBackend.MPS + + logger.debug("No GPU backend available, using CPU") + return GpuBackend.NONE + + +class GpuDetectionError(RuntimeError): + """Raised when GPU detection fails.""" + + +def _get_cuda_rocm_info(backend: GpuBackend) -> GpuInfo: + """Get GPU info for CUDA or ROCm backend.""" + import torch + + get_props = getattr(torch.cuda, "get_device_properties") + props = cast(_DeviceProperties, get_props(0)) + vram_mb = props.total_memory // (1024 * 1024) + + if backend == GpuBackend.ROCM: + hip_version = getattr(torch.version, "hip", None) + driver = str(hip_version) if hip_version else UNKNOWN + arch = _extract_rocm_architecture(props) + else: + cuda_version = getattr(torch.version, "cuda", None) + driver = str(cuda_version) if cuda_version else UNKNOWN + arch = f"sm_{props.major}{props.minor}" + + return GpuInfo( + backend=backend, + device_name=str(props.name), + vram_total_mb=vram_mb, + driver_version=driver, + architecture=arch, + ) + + +def get_gpu_info() -> GpuInfo | None: + """Get detailed GPU information. + + Returns: + GpuInfo if a GPU is available, None otherwise. + + Raises: + GpuDetectionError: If GPU is detected but properties cannot be retrieved. + """ + backend = detect_gpu_backend() + + if backend == GpuBackend.NONE: + return None + + if backend in (GpuBackend.CUDA, GpuBackend.ROCM): + try: + return _get_cuda_rocm_info(backend) + except RuntimeError as e: + msg = f"Failed to get GPU properties for {backend.value} device" + raise GpuDetectionError(msg) from e + + if backend == GpuBackend.MPS: + return GpuInfo( + backend=backend, + device_name="Apple Metal", + vram_total_mb=0, + driver_version="mps", + architecture=None, + ) + + return None + + +def _extract_rocm_architecture(props: _DeviceProperties) -> str | None: + """Extract ROCm GPU architecture from device properties. + + Args: + props: PyTorch device properties object. + + Returns: + Architecture string (e.g., "gfx1100") or None. + """ + # Try gcnArchName attribute first (available in newer PyTorch ROCm builds) + gcn_arch = getattr(props, "gcnArchName", None) + if gcn_arch is not None: + return str(gcn_arch) + + # Fall back to parsing device name if it contains gfx ID + device_name = props.name + if device_name.startswith("gfx"): + return device_name.split()[0] + + return None + + +def is_rocm_architecture_supported(architecture: str | None) -> bool: + """Check if AMD GPU architecture is officially supported for ROCm. + + Args: + architecture: GPU architecture string (e.g., "gfx1100"). + + Returns: + True if supported, False otherwise. + """ + if architecture is None: + return False + + # Check for user override (allows unofficial GPUs) + if os.environ.get("HSA_OVERRIDE_GFX_VERSION"): + return True + + return architecture in SUPPORTED_AMD_ARCHITECTURES + + +def is_ctranslate2_rocm_available() -> bool: + """Check if CTranslate2-ROCm fork is installed. + + The CTranslate2-ROCm fork is required for faster-whisper ROCm support. + If not available, the system falls back to PyTorch Whisper. + + Returns: + True if the ROCm fork is available. + """ + if detect_gpu_backend() != GpuBackend.ROCM: + return False + + try: + import ctranslate2 + + # The ROCm fork should work with HIP + # Verify by checking if we can query compute types + if not hasattr(ctranslate2, "get_supported_compute_types"): + return False + + # Try to get compute types for cuda (which maps to HIP on ROCm) + get_types = getattr(ctranslate2, "get_supported_compute_types") + try: + get_types("cuda") + return True + except (ValueError, RuntimeError): + return False + except ImportError: + return False + + +def get_rocm_environment_info() -> dict[str, str]: + """Get ROCm-related environment variables for debugging. + + Returns: + Dictionary of relevant environment variables and their values. + """ + rocm_vars = [ + "HSA_OVERRIDE_GFX_VERSION", + "HIP_VISIBLE_DEVICES", + "ROCM_PATH", + "MIOPEN_USER_DB_PATH", + "MIOPEN_FIND_MODE", + "AMD_LOG_LEVEL", + "GPU_MAX_HW_QUEUES", + ] + + return {var: os.environ[var] for var in rocm_vars if var in os.environ} diff --git a/src/noteflow/infrastructure/persistence/memory/repositories/integration.py b/src/noteflow/infrastructure/persistence/memory/repositories/integration.py index 0500eea..5ea1d4c 100644 --- a/src/noteflow/infrastructure/persistence/memory/repositories/integration.py +++ b/src/noteflow/infrastructure/persistence/memory/repositories/integration.py @@ -30,6 +30,7 @@ class InMemoryIntegrationRepository: self, provider: str, integration_type: str | None = None, + workspace_id: UUID | None = None, ) -> Integration | None: """Retrieve an integration by provider name.""" for integration in self._integrations.values(): @@ -38,7 +39,8 @@ class InMemoryIntegrationRepository: or provider.lower() in integration.name.lower() ) type_match = integration_type is None or integration.type.value == integration_type - if provider_match and type_match: + workspace_match = workspace_id is None or integration.workspace_id == workspace_id + if provider_match and type_match and workspace_match: return integration return None diff --git a/src/noteflow/infrastructure/persistence/repositories/integration/_queries.py b/src/noteflow/infrastructure/persistence/repositories/integration/_queries.py index 53c2737..69d7061 100644 --- a/src/noteflow/infrastructure/persistence/repositories/integration/_queries.py +++ b/src/noteflow/infrastructure/persistence/repositories/integration/_queries.py @@ -3,9 +3,9 @@ from __future__ import annotations from collections.abc import Awaitable, Callable, Sequence +from uuid import UUID from sqlalchemy import select -from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.sql import Select from noteflow.domain.constants.fields import PROVIDER @@ -15,18 +15,20 @@ from noteflow.infrastructure.persistence.models.integrations import IntegrationM async def get_by_provider( - session: AsyncSession, - execute_scalar_func: Callable[[Select[tuple[IntegrationModel]]], Awaitable[IntegrationModel | None]], + execute_scalar_func: Callable[ + [Select[tuple[IntegrationModel]]], Awaitable[IntegrationModel | None] + ], provider: str, integration_type: str | None = None, + workspace_id: UUID | None = None, ) -> Integration | None: """Retrieve an integration by provider name. Args: - session: Database session. execute_scalar_func: Function to execute scalar query. provider: Provider name (stored in config['provider'] or name). integration_type: Optional type filter. + workspace_id: Optional workspace filter. Returns: Integration if found, None otherwise. @@ -36,6 +38,8 @@ async def get_by_provider( ) if integration_type: stmt = stmt.where(IntegrationModel.type == integration_type) + if workspace_id: + stmt = stmt.where(IntegrationModel.workspace_id == workspace_id) model = await execute_scalar_func(stmt) if model: @@ -47,20 +51,22 @@ async def get_by_provider( ) if integration_type: fallback_stmt = fallback_stmt.where(IntegrationModel.type == integration_type) + if workspace_id: + fallback_stmt = fallback_stmt.where(IntegrationModel.workspace_id == workspace_id) fallback_model = await execute_scalar_func(fallback_stmt) return IntegrationConverter.orm_to_domain(fallback_model) if fallback_model else None async def list_by_type( - session: AsyncSession, - execute_scalars_func: Callable[[Select[tuple[IntegrationModel]]], Awaitable[list[IntegrationModel]]], + execute_scalars_func: Callable[ + [Select[tuple[IntegrationModel]]], Awaitable[list[IntegrationModel]] + ], integration_type: str, ) -> Sequence[Integration]: """List integrations by type. Args: - session: Database session. execute_scalars_func: Function to execute scalars query. integration_type: Integration type (e.g., 'calendar', 'email'). @@ -77,13 +83,13 @@ async def list_by_type( async def list_all( - session: AsyncSession, - execute_scalars_func: Callable[[Select[tuple[IntegrationModel]]], Awaitable[list[IntegrationModel]]], + execute_scalars_func: Callable[ + [Select[tuple[IntegrationModel]]], Awaitable[list[IntegrationModel]] + ], ) -> Sequence[Integration]: """List all integrations for the current workspace context. Args: - session: Database session. execute_scalars_func: Function to execute scalars query. Returns: diff --git a/src/noteflow/infrastructure/persistence/repositories/integration/integration_repo.py b/src/noteflow/infrastructure/persistence/repositories/integration/integration_repo.py index 2c52163..144e517 100644 --- a/src/noteflow/infrastructure/persistence/repositories/integration/integration_repo.py +++ b/src/noteflow/infrastructure/persistence/repositories/integration/integration_repo.py @@ -62,18 +62,23 @@ class SqlAlchemyIntegrationRepository( self, provider: str, integration_type: str | None = None, + workspace_id: UUID | None = None, ) -> Integration | None: """Retrieve an integration by provider name. Args: provider: Provider name (stored in config['provider'] or name). integration_type: Optional type filter. + workspace_id: Optional workspace filter. Returns: Integration if found, None otherwise. """ return await get_by_provider( - self._session, self._execute_scalar, provider, integration_type + self._execute_scalar, + provider, + integration_type, + workspace_id, ) async def create(self, integration: Integration) -> Integration: @@ -181,7 +186,7 @@ class SqlAlchemyIntegrationRepository( Returns: List of integrations of the specified type. """ - return await list_by_type(self._session, self._execute_scalars, integration_type) + return await list_by_type(self._execute_scalars, integration_type) async def list_all(self) -> Sequence[Integration]: """List all integrations for the current workspace context. @@ -189,7 +194,7 @@ class SqlAlchemyIntegrationRepository( Returns: All integrations the user has access to. """ - return await list_all(self._session, self._execute_scalars) + return await list_all(self._execute_scalars) # Sync run operations diff --git a/tests/application/test_calendar_service.py b/tests/application/test_calendar_service.py index 45be21c..9178efb 100644 --- a/tests/application/test_calendar_service.py +++ b/tests/application/test_calendar_service.py @@ -10,15 +10,25 @@ import pytest from noteflow.application.services.calendar import CalendarService, CalendarServiceError from noteflow.config.settings import CalendarIntegrationSettings +from noteflow.domain.constants.fields import ( + OAUTH_OVERRIDE_CLIENT_ID, + OAUTH_OVERRIDE_CLIENT_SECRET, + OAUTH_OVERRIDE_ENABLED, + OAUTH_OVERRIDE_REDIRECT_URI, + OAUTH_OVERRIDE_SCOPES, + PROVIDER, +) from noteflow.domain.entities import Integration, IntegrationStatus, IntegrationType from noteflow.domain.ports.calendar import CalendarEventInfo -from noteflow.domain.value_objects import OAuthTokens +from noteflow.domain.value_objects import OAuthClientConfig, OAuthTokens @pytest.fixture def mock_calendar_oauth_manager() -> MagicMock: """Create mock OAuth manager.""" manager = MagicMock() + manager.GOOGLE_SCOPES = ["calendar.read"] + manager.OUTLOOK_SCOPES = ["Calendars.Read"] manager.initiate_auth.return_value = ("https://auth.example.com", "state-123") manager.complete_auth = AsyncMock( return_value=OAuthTokens( @@ -75,6 +85,7 @@ def mock_outlook_adapter() -> MagicMock: def calendar_mock_uow(mock_uow: MagicMock) -> MagicMock: """Configure mock_uow with calendar service integrations behavior.""" mock_uow.integrations.get_by_type_and_provider = AsyncMock(return_value=None) + mock_uow.integrations.get_by_provider = AsyncMock(return_value=None) mock_uow.integrations.add = AsyncMock() mock_uow.integrations.get_secrets = AsyncMock(return_value=None) mock_uow.integrations.set_secrets = AsyncMock() @@ -335,3 +346,158 @@ class TestCalendarServiceListEvents: with pytest.raises(CalendarServiceError, match="not connected"): await calendar_service.list_calendar_events(provider="google") + + +class TestCalendarServiceOAuthOverrideConfig: + """CalendarService OAuth override config tests.""" + + @pytest.mark.asyncio + async def test_get_oauth_client_config_defaults_when_missing( + self, + calendar_service: CalendarService, + calendar_settings: CalendarIntegrationSettings, + mock_calendar_oauth_manager: MagicMock, + ) -> None: + """get_oauth_client_config should return defaults when no integration exists.""" + config, override_enabled, has_secret = await calendar_service.get_oauth_client_config( + "google" + ) + + assert config.client_id == "", "Client ID should default to empty string" + assert ( + config.redirect_uri == calendar_settings.redirect_uri + ), "Redirect URI should use settings default" + assert config.scopes == tuple( + mock_calendar_oauth_manager.GOOGLE_SCOPES + ), "Scopes should fall back to default provider scopes" + assert override_enabled is False, "Override should be disabled by default" + assert has_secret is False, "Stored secret flag should be false by default" + + @pytest.mark.asyncio + async def test_get_oauth_client_config_returns_override_values( + self, + calendar_service: CalendarService, + calendar_mock_uow: MagicMock, + ) -> None: + """get_oauth_client_config should return stored override values.""" + integration = Integration.create( + workspace_id=uuid4(), + name="Google Calendar", + integration_type=IntegrationType.CALENDAR, + config={ + PROVIDER: "google", + OAUTH_OVERRIDE_ENABLED: True, + OAUTH_OVERRIDE_CLIENT_ID: "client-123", + OAUTH_OVERRIDE_REDIRECT_URI: "http://localhost/callback", + OAUTH_OVERRIDE_SCOPES: ["scope-a"], + }, + ) + calendar_mock_uow.integrations.get_by_provider = AsyncMock(return_value=integration) + calendar_mock_uow.integrations.get_secrets = AsyncMock( + return_value={OAUTH_OVERRIDE_CLIENT_SECRET: "secret-xyz"} + ) + + config, override_enabled, has_secret = await calendar_service.get_oauth_client_config( + "google" + ) + + assert config.client_id == "client-123", "Client ID should match stored override" + assert ( + config.redirect_uri == "http://localhost/callback" + ), "Redirect URI should match stored override" + assert config.scopes == ("scope-a",), "Scopes should match stored override" + assert override_enabled is True, "Override should be enabled when stored" + assert has_secret is True, "Stored secret flag should reflect stored secret" + + @pytest.mark.asyncio + async def test_set_oauth_client_config_persists_config( + self, + calendar_service: CalendarService, + calendar_mock_uow: MagicMock, + ) -> None: + """set_oauth_client_config should persist config.""" + calendar_mock_uow.integrations.get_by_provider = AsyncMock(return_value=None) + calendar_mock_uow.integrations.create = AsyncMock() + calendar_mock_uow.integrations.update = AsyncMock() + calendar_mock_uow.integrations.get_secrets = AsyncMock(return_value={}) + client_config = OAuthClientConfig( + client_id="client-456", + client_secret="secret-abc", + redirect_uri="http://localhost/custom", + scopes=("scope-b",), + ) + await calendar_service.set_oauth_client_config( + provider="google", + client_config=client_config, + override_enabled=True, + ) + calendar_mock_uow.integrations.update.assert_called_once() + update_call = calendar_mock_uow.integrations.update.call_args[0][0] + assert update_call.config[OAUTH_OVERRIDE_ENABLED] is True, ( + "Override enabled flag should be stored" + ) + assert update_call.config[OAUTH_OVERRIDE_CLIENT_ID] == "client-456", ( + "Client ID should be stored in config" + ) + assert update_call.config[OAUTH_OVERRIDE_REDIRECT_URI] == "http://localhost/custom", ( + "Redirect URI should be stored in config" + ) + assert update_call.config[OAUTH_OVERRIDE_SCOPES] == ["scope-b"], ( + "Scopes should be stored in config" + ) + + @pytest.mark.asyncio + async def test_set_oauth_client_config_persists_secret( + self, + calendar_service: CalendarService, + calendar_mock_uow: MagicMock, + ) -> None: + """set_oauth_client_config should persist secret.""" + calendar_mock_uow.integrations.get_by_provider = AsyncMock(return_value=None) + calendar_mock_uow.integrations.create = AsyncMock() + calendar_mock_uow.integrations.update = AsyncMock() + calendar_mock_uow.integrations.get_secrets = AsyncMock(return_value={}) + + client_config = OAuthClientConfig( + client_id="client-456", + client_secret="secret-abc", + redirect_uri="http://localhost/custom", + scopes=("scope-b",), + ) + await calendar_service.set_oauth_client_config( + provider="google", + client_config=client_config, + override_enabled=True, + ) + + secrets_call = calendar_mock_uow.integrations.set_secrets.call_args.kwargs + assert ( + secrets_call["secrets"][OAUTH_OVERRIDE_CLIENT_SECRET] == "secret-abc" + ), "Client secret should be persisted in secrets store" + + @pytest.mark.asyncio + async def test_set_oauth_client_config_requires_secret_when_enabled( + self, + calendar_service: CalendarService, + calendar_mock_uow: MagicMock, + ) -> None: + """set_oauth_client_config should require secret when override enabled.""" + calendar_mock_uow.integrations.get_by_provider = AsyncMock(return_value=None) + calendar_mock_uow.integrations.create = AsyncMock() + calendar_mock_uow.integrations.update = AsyncMock() + calendar_mock_uow.integrations.get_secrets = AsyncMock(return_value={}) + + with pytest.raises( + CalendarServiceError, + match="client secret is missing", + ): + await calendar_service.set_oauth_client_config( + provider="google", + client_config=OAuthClientConfig( + client_id="client-789", + client_secret="", + redirect_uri="http://localhost/override", + scopes=("scope-c",), + ), + override_enabled=True, + ) diff --git a/tests/grpc/test_oauth.py b/tests/grpc/test_oauth.py index 63ff352..a171f59 100644 --- a/tests/grpc/test_oauth.py +++ b/tests/grpc/test_oauth.py @@ -17,6 +17,7 @@ import pytest from noteflow.application.services.calendar import CalendarServiceError from noteflow.domain.entities.integration import IntegrationStatus +from noteflow.domain.identity import DEFAULT_WORKSPACE_ID from noteflow.grpc.config.config import ServicesConfig from noteflow.grpc.proto import noteflow_pb2 from noteflow.grpc.service import NoteFlowServicer @@ -219,12 +220,17 @@ def _create_mockcalendar_service( service = MagicMock() - async def get_connection_status(provider: str) -> OAuthConnectionInfo: + async def get_connection_status( + provider: str, + workspace_id: UUID | None = None, + ) -> OAuthConnectionInfo: is_connected = providers_connected.get(provider, False) email = provider_emails.get(provider) return _create_mock_connection_info( provider=provider, - status=IntegrationStatus.CONNECTED.value if is_connected else IntegrationStatus.DISCONNECTED.value, + status=IntegrationStatus.CONNECTED.value + if is_connected + else IntegrationStatus.DISCONNECTED.value, email=email, expires_at=datetime.now(UTC) + timedelta(hours=1) if is_connected else None, ) @@ -232,7 +238,7 @@ def _create_mockcalendar_service( service.get_connection_status = AsyncMock(side_effect=get_connection_status) service.initiate_oauth = AsyncMock() service.complete_oauth = AsyncMock() - service.disconnect = AsyncMock() + service.disconnect = AsyncMock(return_value=True) return service @@ -293,7 +299,9 @@ class TestGetCalendarProviders: outlook = next(p for p in response.providers if p.name == "outlook") assert google.display_name == "Google Calendar", "google should have correct display name" - assert outlook.display_name == "Microsoft Outlook", "outlook should have correct display name" + assert outlook.display_name == "Microsoft Outlook", ( + "outlook should have correct display name" + ) @pytest.mark.asyncio async def test_aborts_whencalendar_service_not_configured(self) -> None: @@ -349,6 +357,7 @@ class TestInitiateOAuth: service.initiate_oauth.assert_awaited_once_with( provider="outlook", redirect_uri=None, + workspace_id=DEFAULT_WORKSPACE_ID, ) @pytest.mark.asyncio @@ -370,6 +379,7 @@ class TestInitiateOAuth: service.initiate_oauth.assert_awaited_once_with( provider="google", redirect_uri="noteflow://oauth/callback", + workspace_id=DEFAULT_WORKSPACE_ID, ) @pytest.mark.asyncio @@ -454,15 +464,14 @@ class TestCompleteOAuth: provider="google", code="my-auth-code", state="my-state-token", + workspace_id=DEFAULT_WORKSPACE_ID, ) @pytest.mark.asyncio async def test_returns_error_on_invalid_state(self) -> None: """Returns success=False with error message for invalid state.""" service = _create_mockcalendar_service() - service.complete_oauth.side_effect = CalendarServiceError( - "Invalid or expired state token" - ) + service.complete_oauth.side_effect = CalendarServiceError("Invalid or expired state token") servicer = NoteFlowServicer(services=ServicesConfig(calendar_service=service)) response = await _call_complete_oauth( @@ -476,7 +485,9 @@ class TestCompleteOAuth: ) assert response.success is False, "should fail on invalid state" - assert "Invalid or expired state" in response.error_message, "error should mention invalid state" + assert "Invalid or expired state" in response.error_message, ( + "error should mention invalid state" + ) @pytest.mark.asyncio async def test_returns_error_on_invalid_code(self) -> None: @@ -498,7 +509,9 @@ class TestCompleteOAuth: ) assert response.success is False, "should fail on invalid code" - assert "Token exchange failed" in response.error_message, "error should mention token exchange failure" + assert "Token exchange failed" in response.error_message, ( + "error should mention token exchange failure" + ) @pytest.mark.asyncio async def test_aborts_when_complete_service_unavailable(self) -> None: @@ -539,15 +552,15 @@ class TestGetOAuthConnectionStatus: ) assert response.connection.provider == "google", "should return correct provider" - assert response.connection.status == IntegrationStatus.CONNECTED.value, "status should be connected" + assert response.connection.status == IntegrationStatus.CONNECTED.value, ( + "status should be connected" + ) assert response.connection.email == "user@gmail.com", "should return connected email" @pytest.mark.asyncio async def test_returns_disconnected_status(self) -> None: """Returns disconnected status when provider not connected.""" - service = _create_mockcalendar_service( - providers_connected={"google": False} - ) + service = _create_mockcalendar_service(providers_connected={"google": False}) servicer = NoteFlowServicer(services=ServicesConfig(calendar_service=service)) response = await _call_get_oauth_status( @@ -556,7 +569,9 @@ class TestGetOAuthConnectionStatus: _DummyContext(), ) - assert response.connection.status == IntegrationStatus.DISCONNECTED.value, "status should be disconnected" + assert response.connection.status == IntegrationStatus.DISCONNECTED.value, ( + "status should be disconnected" + ) @pytest.mark.asyncio async def test_returns_integration_type(self) -> None: @@ -573,7 +588,9 @@ class TestGetOAuthConnectionStatus: _DummyContext(), ) - assert response.connection.integration_type == "calendar", "should return calendar integration type" + assert response.connection.integration_type == "calendar", ( + "should return calendar integration type" + ) @pytest.mark.asyncio async def test_aborts_when_status_service_unavailable(self) -> None: @@ -597,9 +614,7 @@ class TestDisconnectOAuth: @pytest.mark.asyncio async def test_returns_success_on_disconnect(self) -> None: """Returns success=True when disconnection succeeds.""" - service = _create_mockcalendar_service( - providers_connected={"google": True} - ) + service = _create_mockcalendar_service(providers_connected={"google": True}) service.disconnect.return_value = True servicer = NoteFlowServicer(services=ServicesConfig(calendar_service=service)) @@ -624,14 +639,12 @@ class TestDisconnectOAuth: _DummyContext(), ) - service.disconnect.assert_awaited_once_with("outlook") + service.disconnect.assert_awaited_once_with("outlook", workspace_id=DEFAULT_WORKSPACE_ID) @pytest.mark.asyncio async def test_returns_false_when_not_connected(self) -> None: """Returns success=False when provider was not connected.""" - service = _create_mockcalendar_service( - providers_connected={"google": False} - ) + service = _create_mockcalendar_service(providers_connected={"google": False}) service.disconnect.return_value = False servicer = NoteFlowServicer(services=ServicesConfig(calendar_service=service)) @@ -674,7 +687,9 @@ class TestOAuthRoundTrip: "state-123", ) - async def complete_oauth(provider: str, code: str, state: str) -> UUID: + async def complete_oauth( + provider: str, code: str, state: str, workspace_id: UUID | None = None + ) -> UUID: if state != "state-123": raise CalendarServiceError("Invalid state") connected_state[provider] = True @@ -683,17 +698,21 @@ class TestOAuthRoundTrip: service.complete_oauth.side_effect = complete_oauth - async def get_status(provider: str) -> OAuthConnectionInfo: + async def get_status( + provider: str, workspace_id: UUID | None = None + ) -> OAuthConnectionInfo: is_connected = connected_state.get(provider, False) return _create_mock_connection_info( provider=provider, - status=IntegrationStatus.CONNECTED.value if is_connected else IntegrationStatus.DISCONNECTED.value, + status=IntegrationStatus.CONNECTED.value + if is_connected + else IntegrationStatus.DISCONNECTED.value, email=email_state.get(provider), ) service.get_connection_status.side_effect = get_status - async def disconnect(provider: str) -> bool: + async def disconnect(provider: str, workspace_id: UUID | None = None) -> bool: if connected_state.get(provider, False): connected_state[provider] = False email_state.pop(provider, None) @@ -770,9 +789,7 @@ class TestOAuthRoundTrip: """Completing OAuth with wrong state token fails gracefully.""" service = _create_mockcalendar_service() service.initiate_oauth.return_value = ("https://auth.url", "correct-state") - service.complete_oauth.side_effect = CalendarServiceError( - "Invalid or expired state token" - ) + service.complete_oauth.side_effect = CalendarServiceError("Invalid or expired state token") servicer = NoteFlowServicer(services=ServicesConfig(calendar_service=service)) response = await _call_complete_oauth( @@ -786,7 +803,9 @@ class TestOAuthRoundTrip: ) assert response.success is False, "should fail with wrong state" - assert "Invalid or expired state" in response.error_message, "error should mention invalid state" + assert "Invalid or expired state" in response.error_message, ( + "error should mention invalid state" + ) @pytest.mark.asyncio async def test_multiple_providers_independent(self) -> None: @@ -809,8 +828,12 @@ class TestOAuthRoundTrip: ctx, ) - assert google_status.connection.status == IntegrationStatus.CONNECTED.value, "google should be connected" - assert outlook_status.connection.status == IntegrationStatus.DISCONNECTED.value, "outlook should be disconnected" + assert google_status.connection.status == IntegrationStatus.CONNECTED.value, ( + "google should be connected" + ) + assert outlook_status.connection.status == IntegrationStatus.DISCONNECTED.value, ( + "outlook should be disconnected" + ) class TestOAuthSecurityBehavior: @@ -839,9 +862,7 @@ class TestOAuthSecurityBehavior: @pytest.mark.asyncio async def test_tokens_revoked_on_disconnect(self) -> None: """Disconnect should call service to revoke tokens.""" - service = _create_mockcalendar_service( - providers_connected={"google": True} - ) + service = _create_mockcalendar_service(providers_connected={"google": True}) service.disconnect.return_value = True servicer = NoteFlowServicer(services=ServicesConfig(calendar_service=service)) @@ -851,7 +872,7 @@ class TestOAuthSecurityBehavior: _DummyContext(), ) - service.disconnect.assert_awaited_once_with("google") + service.disconnect.assert_awaited_once_with("google", workspace_id=DEFAULT_WORKSPACE_ID) @pytest.mark.asyncio async def test_no_sensitive_data_in_error_responses(self) -> None: diff --git a/tests/infrastructure/asr/test_factory.py b/tests/infrastructure/asr/test_factory.py new file mode 100644 index 0000000..aca3668 --- /dev/null +++ b/tests/infrastructure/asr/test_factory.py @@ -0,0 +1,214 @@ +"""Tests for ASR engine factory.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING +from unittest.mock import MagicMock, patch + +import pytest + +from noteflow.domain.ports.gpu import GpuBackend +from noteflow.infrastructure.asr.factory import ( + EngineCreationError, + create_asr_engine, +) + +if TYPE_CHECKING: + pass + + +class TestCreateAsrEngine: + """Test ASR engine factory.""" + + def test_cpu_engine_creation(self) -> None: + """Test CPU engine is created for cpu device.""" + with patch( + "noteflow.infrastructure.asr.factory.resolve_device", + return_value="cpu", + ): + engine = create_asr_engine(device="cpu", compute_type="int8") + assert engine.device == "cpu" + + def test_cpu_forces_float32_for_float16(self) -> None: + """Test CPU engine converts float16 to float32.""" + with patch( + "noteflow.infrastructure.asr.factory.resolve_device", + return_value="cpu", + ): + engine = create_asr_engine(device="cpu", compute_type="float16") + # CPU doesn't support float16, should use float32 + assert engine.compute_type in ("float32", "float16") + + def test_auto_device_resolution(self) -> None: + """Test auto device resolution.""" + # Mock GPU detection to return CUDA + with ( + patch( + "noteflow.infrastructure.asr.factory.detect_gpu_backend", + return_value=GpuBackend.CUDA, + ), + patch( + "noteflow.infrastructure.asr.factory._create_cuda_engine", + ) as mock_cuda, + ): + mock_cuda.return_value = MagicMock() + create_asr_engine(device="auto", compute_type="float16") + mock_cuda.assert_called_once() + + def test_unsupported_device_raises(self) -> None: + """Test unsupported device raises EngineCreationError.""" + with patch( + "noteflow.infrastructure.asr.factory.resolve_device", + return_value="invalid_device", + ): + with pytest.raises(EngineCreationError, match="Unsupported device"): + create_asr_engine(device="invalid_device") + + +class TestDeviceResolution: + """Test device resolution logic.""" + + @pytest.mark.parametrize( + "device", + ["cpu", "cuda", "rocm"], + ) + def test_explicit_device_not_changed(self, device: str) -> None: + """Test explicit device string is not changed.""" + from noteflow.infrastructure.asr.factory import resolve_device + + assert resolve_device(device) == device, f"Device {device} should remain unchanged" + + def test_auto_with_cuda(self) -> None: + """Test auto resolves to cuda when CUDA is available.""" + from noteflow.infrastructure.asr.factory import resolve_device + + with patch( + "noteflow.infrastructure.asr.factory.detect_gpu_backend", + return_value=GpuBackend.CUDA, + ): + assert resolve_device("auto") == "cuda" + + def test_auto_with_rocm_supported(self) -> None: + """Test auto resolves to rocm when ROCm is available and supported.""" + from noteflow.infrastructure.asr.factory import resolve_device + + mock_gpu_info = MagicMock() + mock_gpu_info.architecture = "gfx1100" + + with ( + patch( + "noteflow.infrastructure.asr.factory.detect_gpu_backend", + return_value=GpuBackend.ROCM, + ), + patch( + "noteflow.infrastructure.asr.factory.get_gpu_info", + return_value=mock_gpu_info, + ), + patch( + "noteflow.infrastructure.asr.factory.is_rocm_architecture_supported", + return_value=True, + ), + ): + assert resolve_device("auto") == "rocm" + + def test_auto_with_rocm_unsupported_falls_to_cpu(self) -> None: + """Test auto falls back to CPU when ROCm arch is unsupported.""" + from noteflow.infrastructure.asr.factory import resolve_device + + mock_gpu_info = MagicMock() + mock_gpu_info.architecture = "gfx803" + + with ( + patch( + "noteflow.infrastructure.asr.factory.detect_gpu_backend", + return_value=GpuBackend.ROCM, + ), + patch( + "noteflow.infrastructure.asr.factory.get_gpu_info", + return_value=mock_gpu_info, + ), + patch( + "noteflow.infrastructure.asr.factory.is_rocm_architecture_supported", + return_value=False, + ), + ): + assert resolve_device("auto") == "cpu" + + def test_auto_with_mps_falls_to_cpu(self) -> None: + """Test auto falls back to CPU for MPS (not supported for ASR).""" + from noteflow.infrastructure.asr.factory import resolve_device + + with patch( + "noteflow.infrastructure.asr.factory.detect_gpu_backend", + return_value=GpuBackend.MPS, + ): + assert resolve_device("auto") == "cpu" + + +class TestRocmEngineCreation: + """Test ROCm engine creation.""" + + def test_rocm_with_ctranslate2_available(self) -> None: + """Test ROCm uses CTranslate2 when available.""" + mock_engine = MagicMock() + + with ( + patch( + "noteflow.infrastructure.asr.factory.resolve_device", + return_value="rocm", + ), + patch( + "noteflow.infrastructure.asr.factory.is_ctranslate2_rocm_available", + return_value=True, + ), + patch( + "noteflow.infrastructure.asr.rocm_engine.FasterWhisperRocmEngine", + return_value=mock_engine, + ), + ): + engine = create_asr_engine(device="rocm", compute_type="float16") + assert engine == mock_engine + + def test_rocm_falls_back_to_pytorch(self) -> None: + """Test ROCm falls back to PyTorch Whisper when CTranslate2 unavailable.""" + mock_engine = MagicMock() + + with ( + patch( + "noteflow.infrastructure.asr.factory.resolve_device", + return_value="rocm", + ), + patch( + "noteflow.infrastructure.asr.factory.is_ctranslate2_rocm_available", + return_value=False, + ), + patch( + "noteflow.infrastructure.asr.pytorch_engine.WhisperPyTorchEngine", + return_value=mock_engine, + ), + ): + engine = create_asr_engine(device="rocm", compute_type="float16") + assert engine == mock_engine + + +class TestPytorchEngineFallback: + """Test PyTorch engine fallback.""" + + def test_pytorch_engine_import_error(self) -> None: + """Test import error raises EngineCreationError.""" + with ( + patch( + "noteflow.infrastructure.asr.factory.resolve_device", + return_value="rocm", + ), + patch( + "noteflow.infrastructure.asr.factory.is_ctranslate2_rocm_available", + return_value=False, + ), + patch( + "noteflow.infrastructure.asr.pytorch_engine.WhisperPyTorchEngine", + side_effect=ImportError("No module"), + ), + pytest.raises(EngineCreationError, match="Neither CTranslate2"), + ): + create_asr_engine(device="rocm", compute_type="float16") diff --git a/tests/infrastructure/gpu/__init__.py b/tests/infrastructure/gpu/__init__.py new file mode 100644 index 0000000..2509315 --- /dev/null +++ b/tests/infrastructure/gpu/__init__.py @@ -0,0 +1 @@ +"""GPU detection tests.""" diff --git a/tests/infrastructure/gpu/test_detection.py b/tests/infrastructure/gpu/test_detection.py new file mode 100644 index 0000000..63d463e --- /dev/null +++ b/tests/infrastructure/gpu/test_detection.py @@ -0,0 +1,345 @@ +"""Tests for GPU backend detection.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Final +from unittest.mock import MagicMock, patch + +import pytest + +from noteflow.domain.ports.gpu import GpuBackend, GpuInfo +from noteflow.infrastructure.gpu.detection import ( + SUPPORTED_AMD_ARCHITECTURES, + GpuDetectionError, + detect_gpu_backend, + get_gpu_info, + get_rocm_environment_info, + is_ctranslate2_rocm_available, + is_rocm_architecture_supported, +) + +if TYPE_CHECKING: + pass + +# Test constants +VRAM_24GB_BYTES: Final[int] = 24 * 1024 * 1024 * 1024 +VRAM_24GB_MB: Final[int] = 24 * 1024 +VRAM_RX7900_MB: Final[int] = 24576 + + +class TestDetectGpuBackend: + """Test GPU backend detection.""" + + def test_no_pytorch_returns_none(self) -> None: + """Test that missing PyTorch returns NONE backend.""" + # Clear cache first + detect_gpu_backend.cache_clear() + + # Create a mock that only raises ImportError for 'torch' + original_import = __builtins__["__import__"] + + def mock_import(name: str, *args: object, **kwargs: object) -> object: + if name == "torch": + raise ImportError("No module named 'torch'") + return original_import(name, *args, **kwargs) + + with patch.dict("sys.modules", {"torch": None}): + with patch("builtins.__import__", side_effect=mock_import): + result = detect_gpu_backend() + assert result == GpuBackend.NONE, "Missing PyTorch should return NONE" + + # Clear cache after test + detect_gpu_backend.cache_clear() + + def test_cuda_detected(self) -> None: + """Test CUDA backend detection.""" + detect_gpu_backend.cache_clear() + + mock_torch = MagicMock() + mock_torch.cuda.is_available.return_value = True + mock_torch.version.hip = None + mock_torch.version.cuda = "12.1" + + with patch.dict("sys.modules", {"torch": mock_torch}): + # Need to reimport to use mocked torch + from noteflow.infrastructure.gpu import detection + + # Clear the function's cache + detection.detect_gpu_backend.cache_clear() + + result = detection.detect_gpu_backend() + assert result == GpuBackend.CUDA, "CUDA should be detected when available" + + detect_gpu_backend.cache_clear() + + def test_rocm_detected(self) -> None: + """Test ROCm backend detection via HIP.""" + detect_gpu_backend.cache_clear() + + mock_torch = MagicMock() + mock_torch.cuda.is_available.return_value = True + mock_torch.version.hip = "6.0" + mock_torch.version.cuda = None + + with patch.dict("sys.modules", {"torch": mock_torch}): + from noteflow.infrastructure.gpu import detection + + detection.detect_gpu_backend.cache_clear() + + result = detection.detect_gpu_backend() + assert result == GpuBackend.ROCM, "ROCm should be detected when HIP available" + + detect_gpu_backend.cache_clear() + + def test_mps_detected(self) -> None: + """Test MPS backend detection.""" + detect_gpu_backend.cache_clear() + + mock_torch = MagicMock() + mock_torch.cuda.is_available.return_value = False + mock_torch.backends.mps.is_available.return_value = True + + with patch.dict("sys.modules", {"torch": mock_torch}): + from noteflow.infrastructure.gpu import detection + + detection.detect_gpu_backend.cache_clear() + + result = detection.detect_gpu_backend() + assert result == GpuBackend.MPS, "MPS should be detected on Apple Silicon" + + detect_gpu_backend.cache_clear() + + +class TestSupportedArchitectures: + """Test supported AMD architecture list.""" + + @pytest.mark.parametrize( + "architecture", + ["gfx906", "gfx908", "gfx90a", "gfx942"], + ids=["MI50", "MI100", "MI210", "MI300X"], + ) + def test_cdna_architectures_included(self, architecture: str) -> None: + """Test that CDNA datacenter architectures are supported.""" + assert architecture in SUPPORTED_AMD_ARCHITECTURES, f"{architecture} should be supported" + + @pytest.mark.parametrize( + "architecture", + ["gfx1030", "gfx1031", "gfx1032"], + ids=["RX6800", "RX6700XT", "RX6600"], + ) + def test_rdna2_architectures_included(self, architecture: str) -> None: + """Test that RDNA 2 consumer architectures are supported.""" + assert architecture in SUPPORTED_AMD_ARCHITECTURES, f"{architecture} should be supported" + + @pytest.mark.parametrize( + "architecture", + ["gfx1100", "gfx1101", "gfx1102"], + ids=["RX7900XTX", "RX7800XT", "RX7600"], + ) + def test_rdna3_architectures_included(self, architecture: str) -> None: + """Test that RDNA 3 consumer architectures are supported.""" + assert architecture in SUPPORTED_AMD_ARCHITECTURES, f"{architecture} should be supported" + + +class TestIsRocmArchitectureSupported: + """Test ROCm architecture support checking.""" + + @pytest.mark.parametrize( + "architecture", + ["gfx1100", "gfx1030", "gfx90a", "gfx942"], + ) + def test_supported_architectures(self, architecture: str) -> None: + """Test officially supported architectures.""" + assert is_rocm_architecture_supported(architecture) is True + + @pytest.mark.parametrize( + "architecture", + ["gfx803", "gfx900", "gfx1010", "unknown"], + ) + def test_unsupported_architectures(self, architecture: str) -> None: + """Test unsupported architectures.""" + assert is_rocm_architecture_supported(architecture) is False + + def test_none_architecture(self) -> None: + """Test None architecture returns False.""" + assert is_rocm_architecture_supported(None) is False + + def test_override_env_var(self) -> None: + """Test HSA_OVERRIDE_GFX_VERSION allows any architecture.""" + with patch.dict("os.environ", {"HSA_OVERRIDE_GFX_VERSION": "10.3.0"}): + # Even unsupported architecture should work + assert is_rocm_architecture_supported("gfx803") is True + + +class TestGetGpuInfo: + """Test GPU info retrieval.""" + + def test_no_gpu_returns_none(self) -> None: + """Test no GPU returns None.""" + detect_gpu_backend.cache_clear() + + with patch( + "noteflow.infrastructure.gpu.detection.detect_gpu_backend", + return_value=GpuBackend.NONE, + ): + result = get_gpu_info() + assert result is None, "No GPU should return None" + + def test_cuda_gpu_info(self) -> None: + """Test CUDA GPU info retrieval.""" + mock_props = MagicMock() + mock_props.name = "NVIDIA GeForce RTX 4090" + mock_props.total_memory = VRAM_24GB_BYTES + mock_props.major = 8 + mock_props.minor = 9 + + mock_torch = MagicMock() + mock_torch.cuda.get_device_properties.return_value = mock_props + mock_torch.version.cuda = "12.1" + mock_torch.version.hip = None + + with ( + patch( + "noteflow.infrastructure.gpu.detection.detect_gpu_backend", + return_value=GpuBackend.CUDA, + ), + patch.dict("sys.modules", {"torch": mock_torch}), + ): + result = get_gpu_info() + assert result is not None, "CUDA GPU info should not be None" + assert result.backend == GpuBackend.CUDA, "Backend should be CUDA" + assert result.device_name == "NVIDIA GeForce RTX 4090", "Device name mismatch" + assert result.vram_total_mb == VRAM_24GB_MB, "VRAM should be 24GB in MB" + assert result.architecture == "sm_89", "Architecture should be sm_89" + + def test_mps_gpu_info(self) -> None: + """Test MPS GPU info retrieval.""" + with patch( + "noteflow.infrastructure.gpu.detection.detect_gpu_backend", + return_value=GpuBackend.MPS, + ): + result = get_gpu_info() + assert result is not None, "MPS GPU info should not be None" + assert result.backend == GpuBackend.MPS, "Backend should be MPS" + assert result.device_name == "Apple Metal", "Device should be Apple Metal" + # MPS doesn't expose VRAM + assert result.vram_total_mb == 0, "MPS doesn't expose VRAM" + + def test_gpu_properties_error_raises(self) -> None: + """Test GPU properties retrieval error raises GpuDetectionError.""" + mock_torch = MagicMock() + mock_torch.cuda.get_device_properties.side_effect = RuntimeError("Device not found") + + with ( + patch( + "noteflow.infrastructure.gpu.detection.detect_gpu_backend", + return_value=GpuBackend.CUDA, + ), + patch.dict("sys.modules", {"torch": mock_torch}), + pytest.raises(GpuDetectionError, match="Failed to get GPU properties"), + ): + get_gpu_info() + + +class TestIsCtranslate2RocmAvailable: + """Test CTranslate2-ROCm availability checking.""" + + def test_not_rocm_returns_false(self) -> None: + """Test non-ROCm backend returns False.""" + detect_gpu_backend.cache_clear() + + with patch( + "noteflow.infrastructure.gpu.detection.detect_gpu_backend", + return_value=GpuBackend.CUDA, + ): + assert is_ctranslate2_rocm_available() is False + + def test_no_ctranslate2_returns_false(self) -> None: + """Test missing CTranslate2 returns False.""" + with ( + patch( + "noteflow.infrastructure.gpu.detection.detect_gpu_backend", + return_value=GpuBackend.ROCM, + ), + patch("builtins.__import__", side_effect=ImportError), + ): + assert is_ctranslate2_rocm_available() is False + + +class TestGetRocmEnvironmentInfo: + """Test ROCm environment info retrieval.""" + + def test_empty_env(self) -> None: + """Test empty environment returns empty dict.""" + with patch.dict("os.environ", {}, clear=True): + result = get_rocm_environment_info() + assert result == {}, "Empty env should return empty dict" + + def test_rocm_vars_captured(self) -> None: + """Test ROCm environment variables are captured.""" + env_vars = { + "HSA_OVERRIDE_GFX_VERSION": "10.3.0", + "HIP_VISIBLE_DEVICES": "0,1", + "ROCM_PATH": "/opt/rocm", + } + with patch.dict("os.environ", env_vars, clear=True): + result = get_rocm_environment_info() + assert result == env_vars, "ROCm env vars should be captured" + + +class TestGpuBackendEnum: + """Test GpuBackend enum.""" + + @pytest.mark.parametrize( + ("backend", "expected_value"), + [ + (GpuBackend.NONE, "none"), + (GpuBackend.CUDA, "cuda"), + (GpuBackend.ROCM, "rocm"), + (GpuBackend.MPS, "mps"), + ], + ) + def test_enum_values(self, backend: GpuBackend, expected_value: str) -> None: + """Test GpuBackend enum has expected values.""" + assert backend.value == expected_value, f"{backend} should have value {expected_value}" + + @pytest.mark.parametrize( + ("backend", "string_value"), + [ + (GpuBackend.CUDA, "cuda"), + (GpuBackend.ROCM, "rocm"), + ], + ) + def test_string_comparison(self, backend: GpuBackend, string_value: str) -> None: + """Test GpuBackend can be compared as string.""" + assert backend == string_value, f"{backend} should equal {string_value}" + + +class TestGpuInfo: + """Test GpuInfo dataclass.""" + + def test_creation(self) -> None: + """Test GpuInfo creation.""" + info = GpuInfo( + backend=GpuBackend.ROCM, + device_name="AMD Radeon RX 7900 XTX", + vram_total_mb=VRAM_RX7900_MB, + driver_version="6.0", + architecture="gfx1100", + ) + assert info.backend == GpuBackend.ROCM, "Backend should be ROCM" + assert info.device_name == "AMD Radeon RX 7900 XTX", "Device name mismatch" + assert info.vram_total_mb == VRAM_RX7900_MB, "VRAM mismatch" + assert info.driver_version == "6.0", "Driver version mismatch" + assert info.architecture == "gfx1100", "Architecture mismatch" + + def test_frozen(self) -> None: + """Test GpuInfo is immutable.""" + info = GpuInfo( + backend=GpuBackend.CUDA, + device_name="GPU", + vram_total_mb=1024, + driver_version="12.0", + ) + with pytest.raises(AttributeError, match="cannot assign"): + info.device_name = "New Name" # type: ignore[misc] diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py index bdadadf..1acb0e3 100644 --- a/tests/integration/conftest.py +++ b/tests/integration/conftest.py @@ -4,7 +4,9 @@ from __future__ import annotations from collections.abc import AsyncGenerator from pathlib import Path +from typing import TYPE_CHECKING, Final +import numpy as np import pytest from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker @@ -20,6 +22,17 @@ from support.db_utils import ( stop_container, ) +if TYPE_CHECKING: + from numpy.typing import NDArray + +# ============================================================================ +# Audio Fixture Constants +# ============================================================================ + +SAMPLE_RATE: Final[int] = 16000 +MAX_AUDIO_SECONDS: Final[float] = 10.0 +MAX_AUDIO_SAMPLES: Final[int] = int(MAX_AUDIO_SECONDS * SAMPLE_RATE) + @pytest.fixture async def session_factory() -> AsyncGenerator[async_sessionmaker[AsyncSession], None]: @@ -104,3 +117,44 @@ async def stopped_meeting_with_segments( await uow.segments.add(meeting.id, segment_1) await uow.commit() return meeting.id + + +# ============================================================================ +# Audio Fixtures (for ASR integration tests) +# ============================================================================ + + +@pytest.fixture +def audio_fixture_path() -> Path: + """Path to the test audio fixture. + + Returns path to tests/fixtures/sample_discord.wav (16kHz mono PCM). + Skips test if fixture file is not found. + """ + path = Path(__file__).parent.parent / "fixtures" / "sample_discord.wav" + if not path.exists(): + pytest.skip(f"Test audio fixture not found: {path}") + return path + + +@pytest.fixture +def audio_samples(audio_fixture_path: Path) -> NDArray[np.float32]: + """Load audio samples from fixture file. + + Returns first 10 seconds as float32 array normalized to [-1, 1]. + """ + import wave + + with wave.open(str(audio_fixture_path), "rb") as wav: + assert wav.getsampwidth() == 2, "Expected 16-bit audio" + assert wav.getnchannels() == 1, "Expected mono audio" + assert wav.getframerate() == SAMPLE_RATE, f"Expected {SAMPLE_RATE}Hz" + + # Read limited samples for faster testing + n_frames = min(wav.getnframes(), MAX_AUDIO_SAMPLES) + raw_data = wav.readframes(n_frames) + + # Convert to float32 normalized + samples = np.frombuffer(raw_data, dtype=np.int16).astype(np.float32) + samples /= 32768.0 # Normalize int16 to [-1, 1] + return samples diff --git a/tests/integration/test_asr_pytorch_engine.py b/tests/integration/test_asr_pytorch_engine.py new file mode 100644 index 0000000..e64a1a7 --- /dev/null +++ b/tests/integration/test_asr_pytorch_engine.py @@ -0,0 +1,639 @@ +"""Integration tests for WhisperPyTorchEngine. + +These tests verify that the PyTorch-based Whisper engine can actually +load models and transcribe audio. Unlike mock-based unit tests, these +tests exercise the real transcription pipeline. + +Requirements: + - openai-whisper package installed + - CPU-only (no GPU required) + - Internet connection for first model download + +Test audio fixture: + Uses tests/fixtures/sample_discord.wav (16kHz mono PCM) + Fixtures defined in conftest.py: audio_fixture_path, audio_samples +""" + +from __future__ import annotations + +from pathlib import Path +from typing import TYPE_CHECKING, Final + +import numpy as np +import pytest + +from .conftest import MAX_AUDIO_SECONDS, SAMPLE_RATE + +if TYPE_CHECKING: + from numpy.typing import NDArray + +# ============================================================================ +# Test Constants +# ============================================================================ + +MODEL_SIZE_TINY: Final[str] = "tiny" +DEVICE_CPU: Final[str] = "cpu" +COMPUTE_TYPE_FLOAT32: Final[str] = "float32" + + +def _check_whisper_available() -> bool: + """Check if openai-whisper is available. + + Note: There's a package conflict with graphite's 'whisper' database package. + We check for 'load_model' attribute to verify it's the correct whisper. + """ + try: + import whisper + + # Verify it's OpenAI's whisper, not graphite's whisper database + return hasattr(whisper, "load_model") + except ImportError: + return False + + +# Provide informative skip message +_WHISPER_SKIP_REASON = ( + "openai-whisper not installed (note: 'whisper' package exists but is " + "graphite's database, not OpenAI's speech recognition)" +) + + +# ============================================================================ +# Integration Tests - Core Functionality +# ============================================================================ + + +@pytest.mark.slow +@pytest.mark.integration +@pytest.mark.skipif(not _check_whisper_available(), reason=_WHISPER_SKIP_REASON) +class TestWhisperPyTorchEngineIntegration: + """Integration tests for WhisperPyTorchEngine with real model loading.""" + + def test_engine_creation(self) -> None: + """Test engine can be created with CPU device.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine( + device=DEVICE_CPU, + compute_type=COMPUTE_TYPE_FLOAT32, + ) + + assert engine.device == DEVICE_CPU, "Expected CPU device" + assert engine.compute_type == COMPUTE_TYPE_FLOAT32, "Expected float32 compute type" + assert engine.model_size is None, "Expected model size to be unset before load_model" + assert engine.is_loaded is False, "Expected engine to be unloaded initially" + + def test_model_loading(self) -> None: + """Test tiny model can be loaded on CPU.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine( + device=DEVICE_CPU, + compute_type=COMPUTE_TYPE_FLOAT32, + ) + + # Load model with size + engine.load_model(MODEL_SIZE_TINY) + assert engine.is_loaded is True, "Expected model to be loaded" + assert engine.model_size == MODEL_SIZE_TINY, "Expected model size to match" + + # Unload model + engine.unload() + assert engine.is_loaded is False, "Expected engine to be unloaded" + + def test_transcription_produces_text( + self, + audio_samples: NDArray[np.float32], + ) -> None: + """Test transcription produces non-empty text from real audio.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + results = list(engine.transcribe(audio_samples)) + assert len(results) > 0, "Expected at least one transcription segment" + + first_result = results[0] + assert hasattr(first_result, "text"), "Expected text attribute on result" + assert hasattr(first_result, "start"), "Expected start attribute on result" + assert hasattr(first_result, "end"), "Expected end attribute on result" + assert hasattr(first_result, "language"), "Expected language attribute on result" + assert ( + len(first_result.text.strip()) > 0 + ), "Expected non-empty transcription text" + assert first_result.start >= 0.0, "Expected non-negative start time" + assert first_result.end > first_result.start, "Expected end > start" + assert ( + first_result.end <= MAX_AUDIO_SECONDS + 1.0 + ), "Expected end time within audio duration buffer" + finally: + engine.unload() + + def test_transcription_with_word_timings( + self, + audio_samples: NDArray[np.float32], + ) -> None: + """Test transcription produces word-level timings.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine( + device=DEVICE_CPU, + compute_type=COMPUTE_TYPE_FLOAT32, + ) + engine.load_model(MODEL_SIZE_TINY) + + try: + results = list(engine.transcribe(audio_samples)) + assert len(results) > 0 + + # Get first result with word timings + first_result = results[0] + assert hasattr(first_result, "words"), "Expected words attribute in result" + assert len(first_result.words) > 0, "Expected word-level timings in first result" + + # Verify first word timing structure + first_word = first_result.words[0] + assert hasattr(first_word, "word"), "Expected word attribute" + assert hasattr(first_word, "start"), "Expected start attribute" + assert hasattr(first_word, "end"), "Expected end attribute" + assert first_word.end >= first_word.start, "Expected end >= start" + + finally: + engine.unload() + + def test_transcribe_file_helper( + self, + audio_fixture_path: Path, + ) -> None: + """Test transcribe_file helper method works.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine( + device=DEVICE_CPU, + compute_type=COMPUTE_TYPE_FLOAT32, + ) + engine.load_model(MODEL_SIZE_TINY) + + try: + # Use transcribe_file helper + results = list(engine.transcribe_file(audio_fixture_path)) + + # Verify we got results + assert len(results) > 0, "Expected transcription results from file" + + # Verify text was produced in first result + first_result = results[0] + assert len(first_result.text.strip()) > 0, "Expected non-empty transcription text" + + finally: + engine.unload() + + def test_language_detection( + self, + audio_samples: NDArray[np.float32], + ) -> None: + """Test language is detected from audio.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine( + device=DEVICE_CPU, + compute_type=COMPUTE_TYPE_FLOAT32, + ) + engine.load_model(MODEL_SIZE_TINY) + + try: + results = list(engine.transcribe(audio_samples)) + assert len(results) > 0, "Expected at least one transcription segment" + + # Verify language was detected + first_result = results[0] + assert first_result.language is not None, "Expected detected language" + assert len(first_result.language) == 2, "Expected 2-letter language code" + + finally: + engine.unload() + + def test_transcribe_without_model_raises(self) -> None: + """Test transcribing without loading model raises RuntimeError.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine( + device=DEVICE_CPU, + compute_type=COMPUTE_TYPE_FLOAT32, + ) + + # Don't load model + assert engine.is_loaded is False + + # Attempt to transcribe should raise + dummy_audio = np.zeros(SAMPLE_RATE, dtype=np.float32) + with pytest.raises(RuntimeError, match="Model not loaded"): + list(engine.transcribe(dummy_audio)) + + +# ============================================================================ +# Edge Case Tests +# ============================================================================ + + +@pytest.mark.slow +@pytest.mark.integration +@pytest.mark.skipif(not _check_whisper_available(), reason=_WHISPER_SKIP_REASON) +class TestWhisperPyTorchEngineEdgeCases: + """Edge case tests for WhisperPyTorchEngine.""" + + def test_empty_audio_returns_empty_list(self) -> None: + """Test transcribing empty audio returns empty list.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + empty_audio = np.array([], dtype=np.float32) + + # Whisper handles empty audio gracefully by returning empty results + results = list(engine.transcribe(empty_audio)) + assert results == [], "Expected empty list for empty audio" + + engine.unload() + + def test_very_short_audio_handled(self) -> None: + """Test transcribing very short audio (< 1 second) is handled.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + # 0.5 seconds of silence + short_audio = np.zeros(SAMPLE_RATE // 2, dtype=np.float32) + results = list(engine.transcribe(short_audio)) + + # Should handle without crashing + assert isinstance(results, list) + finally: + engine.unload() + + def test_silent_audio_produces_minimal_output(self) -> None: + """Test transcribing silent audio produces minimal/no speech output.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + # 3 seconds of silence + silent_audio = np.zeros(SAMPLE_RATE * 3, dtype=np.float32) + results = list(engine.transcribe(silent_audio)) + + # Silent audio should produce a valid (possibly empty) result list + assert isinstance(results, list) + finally: + engine.unload() + + def test_audio_with_clipping_handled(self) -> None: + """Test audio with extreme values (clipping) is handled.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + # Create clipped audio (values at ±1.0) + clipped_audio = np.ones(SAMPLE_RATE * 2, dtype=np.float32) + clipped_audio[::2] = -1.0 # Alternating +1/-1 (harsh noise) + + results = list(engine.transcribe(clipped_audio)) + + # Should handle without crashing + assert isinstance(results, list) + finally: + engine.unload() + + def test_audio_outside_normal_range_handled(self) -> None: + """Test audio with values outside [-1, 1] range is handled.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + # Audio with values outside normal range + rng = np.random.default_rng(42) + loud_audio = rng.uniform(-5.0, 5.0, SAMPLE_RATE * 2).astype(np.float32) + + results = list(engine.transcribe(loud_audio)) + + # Should handle without crashing (whisper normalizes internally) + assert isinstance(results, list) + finally: + engine.unload() + + def test_nan_values_in_audio_raises_error(self) -> None: + """Test audio containing NaN values raises ValueError during decoding.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + # Audio with NaN values causes invalid logits in whisper decoding + audio_with_nan = np.zeros(SAMPLE_RATE, dtype=np.float32) + audio_with_nan[100:200] = np.nan + + with pytest.raises(ValueError, match="invalid values"): + list(engine.transcribe(audio_with_nan)) + + engine.unload() + + +# ============================================================================ +# Functional Scenario Tests +# ============================================================================ + + +@pytest.mark.slow +@pytest.mark.integration +@pytest.mark.skipif(not _check_whisper_available(), reason=_WHISPER_SKIP_REASON) +class TestWhisperPyTorchEngineFunctionalScenarios: + """Functional scenario tests for WhisperPyTorchEngine.""" + + def test_multiple_sequential_transcriptions( + self, + audio_samples: NDArray[np.float32], + ) -> None: + """Test multiple transcriptions with same engine instance.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + # First transcription + results1 = list(engine.transcribe(audio_samples)) + assert len(results1) > 0, "Expected results from first transcription" + text1 = results1[0].text + + # Second transcription (should produce consistent results) + results2 = list(engine.transcribe(audio_samples)) + assert len(results2) > 0, "Expected results from second transcription" + text2 = results2[0].text + + # First result text should be identical for same input + assert text1 == text2, "Same audio should produce same transcription" + + # Third transcription with shorter audio (first 3 seconds) + short_audio = audio_samples[: SAMPLE_RATE * 3] + results3 = list(engine.transcribe(short_audio)) + + assert isinstance(results3, list), "Expected list result from short audio" + finally: + engine.unload() + + def test_transcription_with_language_hint( + self, + audio_samples: NDArray[np.float32], + ) -> None: + """Test transcription with explicit language specification.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + # Transcribe with English hint + results = list(engine.transcribe(audio_samples, language="en")) + + assert len(results) > 0, "Expected transcription results with language hint" + # Language should match hint + assert results[0].language == "en", "Expected language to match hint" + finally: + engine.unload() + + def test_model_reload_behavior(self) -> None: + """Test loading different model sizes sequentially.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + + # Load tiny + engine.load_model("tiny") + assert engine.model_size == "tiny", "Expected tiny model size" + assert engine.is_loaded is True, "Expected model to be loaded" + + # Unload + engine.unload() + assert engine.is_loaded is False, "Expected model to be unloaded" + + # Load base (different size) + engine.load_model("base") + assert engine.model_size == "base", "Expected base model size" + assert engine.is_loaded is True, "Expected model to be loaded" + + engine.unload() + + def test_multiple_load_unload_cycles(self) -> None: + """Test multiple load/unload cycles don't cause issues.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + + # Cycle 1 + engine.load_model(MODEL_SIZE_TINY) + assert engine.is_loaded is True, "Expected model to be loaded (cycle 1)" + engine.unload() + assert engine.is_loaded is False, "Expected model to be unloaded (cycle 1)" + + # Cycle 2 + engine.load_model(MODEL_SIZE_TINY) + assert engine.is_loaded is True, "Expected model to be loaded (cycle 2)" + engine.unload() + assert engine.is_loaded is False, "Expected model to be unloaded (cycle 2)" + + # Cycle 3 + engine.load_model(MODEL_SIZE_TINY) + assert engine.is_loaded is True, "Expected model to be loaded (cycle 3)" + engine.unload() + assert engine.is_loaded is False, "Expected model to be unloaded (cycle 3)" + + def test_unload_without_load_is_safe(self) -> None: + """Test calling unload without loading is safe.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + + # Should not raise + engine.unload() + engine.unload() # Multiple unloads should be safe + + assert engine.is_loaded is False + + def test_transcription_timing_accuracy( + self, + audio_samples: NDArray[np.float32], + ) -> None: + """Test that segment timings are accurate and non-overlapping.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + results = list(engine.transcribe(audio_samples)) + + # Verify at least one result + assert len(results) >= 1, "Expected at least one transcription segment" + + # Verify first segment has valid timing + first_segment = results[0] + assert first_segment.start >= 0.0, "Expected non-negative start time" + assert first_segment.end > first_segment.start, "Expected end > start" + assert first_segment.end <= MAX_AUDIO_SECONDS + 1.0, "Expected reasonable end time" + finally: + engine.unload() + + +# ============================================================================ +# Error Handling Tests +# ============================================================================ + + +@pytest.mark.slow +@pytest.mark.integration +@pytest.mark.skipif(not _check_whisper_available(), reason=_WHISPER_SKIP_REASON) +class TestWhisperPyTorchEngineErrorHandling: + """Error handling tests for WhisperPyTorchEngine.""" + + def test_invalid_model_size_raises(self) -> None: + """Test loading invalid model size raises ValueError.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + + with pytest.raises(ValueError, match="Invalid model size"): + engine.load_model("nonexistent_model") + + def test_transcribe_file_nonexistent_raises(self) -> None: + """Test transcribing nonexistent file raises appropriate error.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + nonexistent_path = Path("/nonexistent/path/audio.wav") + + with pytest.raises((FileNotFoundError, RuntimeError, OSError), match=".*"): + list(engine.transcribe_file(nonexistent_path)) + finally: + engine.unload() + + def test_double_load_overwrites_model(self) -> None: + """Test loading model twice overwrites previous model.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + + engine.load_model("tiny") + assert engine.model_size == "tiny", "Expected tiny model size" + + # Load again without unload + engine.load_model("base") + assert engine.model_size == "base", "Expected base model size" + assert engine.is_loaded is True, "Expected model to be loaded" + + engine.unload() + + +# ============================================================================ +# Compute Type Tests +# ============================================================================ + + +@pytest.mark.slow +@pytest.mark.integration +@pytest.mark.skipif(not _check_whisper_available(), reason=_WHISPER_SKIP_REASON) +class TestWhisperPyTorchEngineComputeTypes: + """Test different compute type configurations.""" + + def test_float32_compute_type(self) -> None: + """Test float32 compute type works on CPU.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type="float32") + engine.load_model(MODEL_SIZE_TINY) + + assert engine.compute_type == "float32", "Expected float32 compute type" + assert engine.is_loaded is True, "Expected model to be loaded" + + engine.unload() + + def test_int8_normalized_to_float32_on_cpu(self) -> None: + """Test int8 is normalized to float32 on CPU.""" + from noteflow.infrastructure.asr.pytorch_engine import WhisperPyTorchEngine + + engine = WhisperPyTorchEngine(device=DEVICE_CPU, compute_type="int8") + + # int8 not supported on CPU, should normalize to float32 + assert engine.compute_type == "float32" + + +# ============================================================================ +# Factory Integration Tests +# ============================================================================ + + +@pytest.mark.slow +@pytest.mark.integration +@pytest.mark.skipif(not _check_whisper_available(), reason=_WHISPER_SKIP_REASON) +class TestAsrFactoryIntegration: + """Integration tests for ASR factory with real engine creation.""" + + def test_factory_creates_cpu_engine(self) -> None: + """Test factory creates working CPU engine.""" + from noteflow.infrastructure.asr.factory import create_asr_engine + + engine = create_asr_engine( + device=DEVICE_CPU, + compute_type=COMPUTE_TYPE_FLOAT32, + ) + + # Factory should return a working engine + assert engine is not None, "Expected engine instance" + assert engine.device == DEVICE_CPU, "Expected CPU device" + # model_size is None until load_model is called + assert engine.model_size is None, "Expected model size to be unset before load_model" + + def test_factory_auto_device_resolves_to_cpu(self) -> None: + """Test auto device resolves to CPU when no GPU available.""" + from noteflow.infrastructure.asr.factory import create_asr_engine + + # In CI/test environment without GPU, should fall back to CPU + engine = create_asr_engine( + device="auto", + compute_type=COMPUTE_TYPE_FLOAT32, + ) + + assert engine is not None, "Expected engine instance" + # Device should be resolved (not "auto") + assert engine.device in ("cpu", "cuda", "rocm", "mps"), "Expected resolved device" + + def test_factory_engine_can_transcribe( + self, + audio_samples: NDArray[np.float32], + ) -> None: + """Test factory-created engine can actually transcribe.""" + from noteflow.infrastructure.asr.factory import create_asr_engine + + engine = create_asr_engine(device=DEVICE_CPU, compute_type=COMPUTE_TYPE_FLOAT32) + engine.load_model(MODEL_SIZE_TINY) + + try: + results = list(engine.transcribe(audio_samples)) + + assert len(results) > 0, "Expected transcription results" + first_result = results[0] + assert len(first_result.text.strip()) > 0, "Expected non-empty transcription" + finally: + engine.unload() diff --git a/uv.lock b/uv.lock index 2c1b95d..7714510 100644 --- a/uv.lock +++ b/uv.lock @@ -1859,6 +1859,26 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/de/73/3d757cb3fc16f0f9794dd289bcd0c4a031d9cf54d8137d6b984b2d02edf3/lightning_utilities-0.15.2-py3-none-any.whl", hash = "sha256:ad3ab1703775044bbf880dbf7ddaaac899396c96315f3aa1779cec9d618a9841", size = 29431, upload-time = "2025-08-06T13:57:38.046Z" }, ] +[[package]] +name = "llvmlite" +version = "0.46.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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