diff --git a/Dockerfile b/Dockerfile index cb9d635..82fb0d5 100644 --- a/Dockerfile +++ b/Dockerfile @@ -4,11 +4,21 @@ WORKDIR /app # System deps for audio inference (cf-voice real mode only) RUN apt-get update && apt-get install -y --no-install-recommends \ - libsndfile1 \ + libsndfile1 git \ && rm -rf /var/lib/apt/lists/* +# GIT_TOKEN: Forgejo token for private circuitforge-core install. +# Passed at build time via compose.cloud.yml build.args — never baked into a layer. +ARG GIT_TOKEN + +# Install public sibling + private circuitforge-core (token consumed here, not cached) +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt && \ + pip install --no-cache-dir \ + "git+https://${GIT_TOKEN}@git.opensourcesolarpunk.com/Circuit-Forge/circuitforge-core.git@main" + COPY pyproject.toml . -RUN pip install --no-cache-dir -e . +RUN pip install --no-cache-dir -e . --no-deps COPY app/ app/ diff --git a/README.md b/README.md index 74f0f3f..8b496fb 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,3 @@ # linnet -Real-time tone annotation — Elcor-style emotional/tonal subtext for ND and autistic users \ No newline at end of file +Local-first voice transcription with speaker diarization, meeting notes, dictation, and real-time tone annotation — tonal subtext labels for calls, appointments, and conversations \ No newline at end of file diff --git a/app/api/audio.py b/app/api/audio.py index 08b152b..2f406e3 100644 --- a/app/api/audio.py +++ b/app/api/audio.py @@ -2,15 +2,19 @@ # # Receives raw PCM Int16 audio chunks from the browser's AudioWorkletProcessor. # Each message is a binary frame: 16kHz mono Int16 PCM. -# The backend accumulates chunks until cf-voice processes them. # -# Notation v0.1.x: audio is accepted and acknowledged but inference runs -# through the background ContextClassifier (started at session creation), -# not inline here. This endpoint is wired for the real audio path -# (Navigation v0.2.x) where chunks feed the STT + diarizer directly. +# When CF_VOICE_URL is set (cf-voice sidecar allocated by cf-orch), each chunk +# is base64-encoded and forwarded to cf-voice /classify. The resulting tone +# events are broadcast to SSE subscribers via the session store. +# +# When CF_VOICE_URL is unset (local dev / mock mode), chunks are acknowledged +# but not forwarded — the in-process ContextClassifier.stream() generates +# synthetic frames independently. from __future__ import annotations +import base64 import logging +import time from fastapi import APIRouter, WebSocket, WebSocketDisconnect @@ -19,18 +23,19 @@ from app.services import session_store logger = logging.getLogger(__name__) router = APIRouter(prefix="/session", tags=["audio"]) +_SESSION_START: dict[str, float] = {} + @router.websocket("/{session_id}/audio") async def audio_ws(websocket: WebSocket, session_id: str) -> None: """ WebSocket endpoint for binary PCM audio upload. - Clients (browser AudioWorkletProcessor) send binary frames. - Server acknowledges each frame with {"ok": true}. + Clients (browser AudioWorkletProcessor) send binary Int16 frames. + Server acknowledges each frame with {"ok": true, "bytes": N}. - In mock mode (CF_VOICE_MOCK=1) the session's ContextClassifier generates - synthetic frames independently -- audio sent here is accepted but not - processed. Real inference wiring happens in Navigation v0.2.x. + When CF_VOICE_URL is configured, each chunk is forwarded to the cf-voice + sidecar and the resulting tone events are broadcast to SSE subscribers. """ session = session_store.get_session(session_id) if session is None: @@ -38,12 +43,17 @@ async def audio_ws(websocket: WebSocket, session_id: str) -> None: return await websocket.accept() + _SESSION_START[session_id] = time.monotonic() logger.info("Audio WS connected for session %s", session_id) try: while True: data = await websocket.receive_bytes() - # Notation v0.1.x: acknowledge receipt; real inference in v0.2.x + timestamp = time.monotonic() - _SESSION_START.get(session_id, 0.0) await websocket.send_json({"ok": True, "bytes": len(data)}) + # Forward to cf-voice sidecar (no-op if CF_VOICE_URL is unset) + audio_b64 = base64.b64encode(data).decode() + await session_store.forward_audio_chunk(session, audio_b64, timestamp) except WebSocketDisconnect: logger.info("Audio WS disconnected for session %s", session_id) + _SESSION_START.pop(session_id, None) diff --git a/app/api/corrections.py b/app/api/corrections.py new file mode 100644 index 0000000..71f4239 --- /dev/null +++ b/app/api/corrections.py @@ -0,0 +1,5 @@ +# app/api/corrections.py — tone annotation correction submissions +from circuitforge_core.api import make_corrections_router +from app.db import get_db + +router = make_corrections_router(get_db=get_db, product="linnet") diff --git a/app/api/samples.py b/app/api/samples.py new file mode 100644 index 0000000..7ac9a84 --- /dev/null +++ b/app/api/samples.py @@ -0,0 +1,71 @@ +# app/api/samples.py — Demo text samples for model testing via the imitate tab +# +# Returns pre-curated sentences with varied emotional subtext so that +# external tools (e.g. avocet imitate tab) can feed them to local LLMs +# and evaluate tone annotation quality without a live audio session. +from __future__ import annotations + +from fastapi import APIRouter + +router = APIRouter(prefix="/samples", tags=["samples"]) + +# Each sample has a text field (the raw utterance) and a context field +# describing the situation — both fed into the imitate prompt template. +_SAMPLES: list[dict] = [ + { + "text": "Sure, I can take care of that.", + "context": "Employee responding to manager's request during a tense project meeting.", + "category": "compliance", + }, + { + "text": "That's a really interesting approach.", + "context": "Colleague reacting to a proposal they visibly disagree with.", + "category": "polite_disagreement", + }, + { + "text": "I'll have it done by end of day.", + "context": "Developer already working at capacity, second deadline added without discussion.", + "category": "overcommitment", + }, + { + "text": "No, it's fine. Don't worry about it.", + "context": "Person whose suggestion was dismissed without acknowledgment.", + "category": "suppressed_hurt", + }, + { + "text": "I guess we could try it your way.", + "context": "Team lead conceding after strong pushback, despite having a valid concern.", + "category": "reluctant_agreement", + }, + { + "text": "That's one way to look at it.", + "context": "Researcher responding to a peer who has misread their data.", + "category": "implicit_correction", + }, + { + "text": "I appreciate you letting me know.", + "context": "Employee informed their project is being cancelled with two hours notice.", + "category": "formal_distress", + }, + { + "text": "We should probably circle back on this.", + "context": "Manager avoiding a decision they don't want to make.", + "category": "deferral", + }, + { + "text": "I just want to make sure I'm understanding correctly.", + "context": "Autistic person who has been given contradictory instructions twice already.", + "category": "clarification_exhaustion", + }, + { + "text": "Happy to help however I can!", + "context": "Volunteer who has already put in 60 hours this month responding to another ask.", + "category": "masking_burnout", + }, +] + + +@router.get("") +def list_samples(limit: int = 5) -> list[dict]: + """Return a slice of demo annotation samples for model testing.""" + return _SAMPLES[:max(1, min(limit, len(_SAMPLES)))] diff --git a/app/api/sessions.py b/app/api/sessions.py index e87ded4..3a2523f 100644 --- a/app/api/sessions.py +++ b/app/api/sessions.py @@ -22,7 +22,7 @@ class SessionResponse(BaseModel): @router.post("/start", response_model=SessionResponse) async def start_session(req: StartRequest = StartRequest()) -> SessionResponse: """Start a new annotation session and begin streaming VoiceFrames.""" - session = session_store.create_session(elcor=req.elcor) + session = await session_store.create_session(elcor=req.elcor) return SessionResponse( session_id=session.session_id, state=session.state, @@ -33,7 +33,7 @@ async def start_session(req: StartRequest = StartRequest()) -> SessionResponse: @router.delete("/{session_id}/end") async def end_session(session_id: str) -> dict: """Stop a session and release its classifier.""" - removed = session_store.end_session(session_id) + removed = await session_store.end_session(session_id) if not removed: raise HTTPException(status_code=404, detail=f"Session {session_id} not found") return {"session_id": session_id, "state": "stopped"} diff --git a/app/config.py b/app/config.py index 41d072b..32366ab 100644 --- a/app/config.py +++ b/app/config.py @@ -15,6 +15,12 @@ class Settings: # DEMO: auto-kill sessions after this many seconds of inactivity demo_session_ttl_s: int = int(os.getenv("DEMO_SESSION_TTL_S", "300")) # 5 min + # All modes: kill a session this many seconds after its last SSE subscriber + # disconnects. Covers mobile tab timeout / screen lock / crash. + # Set generously enough to survive a brief screen-off without losing the session, + # but short enough that zombie sessions don't accumulate. + session_idle_ttl_s: int = int(os.getenv("SESSION_IDLE_TTL_S", "90")) + # CLOUD: where Caddy injects the cf_session user token cloud_session_header: str = os.getenv("CLOUD_SESSION_HEADER", "X-CF-Session") cloud_data_root: str = os.getenv("CLOUD_DATA_ROOT", "/devl/linnet-cloud-data") @@ -25,5 +31,17 @@ class Settings: linnet_frontend_port: int = int(os.getenv("LINNET_FRONTEND_PORT", "8521")) linnet_base_url: str = os.getenv("LINNET_BASE_URL", "") + # cf-orch coordinator URL — used to request a managed cf-voice instance per session. + # When set, each session allocates a cf-voice sidecar via the coordinator REST API. + cf_orch_url: str = os.getenv("CF_ORCH_URL", "") + + # Static cf-voice sidecar URL — legacy override (bypasses cf-orch, points directly + # at a running cf-voice process). Takes precedence over cf-orch allocation when set. + cf_voice_url: str = os.getenv("CF_VOICE_URL", "") + + # Local SQLite DB for corrections storage. Shared across users on a single instance; + # corrections contain text only (no audio). Cloud mode uses cloud_data_root prefix. + linnet_db: str = os.getenv("LINNET_DB", "data/linnet.db") + settings = Settings() diff --git a/app/db.py b/app/db.py new file mode 100644 index 0000000..ba061e2 --- /dev/null +++ b/app/db.py @@ -0,0 +1,37 @@ +# app/db.py — SQLite connection and migration runner for Linnet +# +# Used only for corrections storage (tone annotation training data). +# Session state is in-memory; this DB persists user-submitted corrections. +from __future__ import annotations + +import sqlite3 +from collections.abc import Iterator +from pathlib import Path + +from circuitforge_core.db import run_migrations + +from app.config import settings + +_MIGRATIONS_DIR = Path(__file__).parent / "migrations" + + +def _db_path() -> Path: + path = Path(settings.linnet_db) + path.parent.mkdir(parents=True, exist_ok=True) + return path + + +def get_connection() -> sqlite3.Connection: + conn = sqlite3.connect(str(_db_path()), check_same_thread=False) + conn.execute("PRAGMA journal_mode=WAL") + run_migrations(conn, _MIGRATIONS_DIR) + return conn + + +def get_db() -> Iterator[sqlite3.Connection]: + """FastAPI dependency — yields a connection, closes on teardown.""" + conn = get_connection() + try: + yield conn + finally: + conn.close() diff --git a/app/main.py b/app/main.py index 6dd5748..0b14613 100644 --- a/app/main.py +++ b/app/main.py @@ -3,22 +3,35 @@ from __future__ import annotations import logging import os +from contextlib import asynccontextmanager from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -from app.api import audio, events, export, history, sessions +from app.api import audio, corrections, events, export, history, samples, sessions from app.config import settings +from app.services import session_store logging.basicConfig( level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s — %(message)s", ) + +@asynccontextmanager +async def lifespan(app: FastAPI): + # Startup: begin idle session reaper + session_store.start_reaper() + yield + # Shutdown: cancel the reaper cleanly + await session_store.stop_reaper() + + app = FastAPI( title="Linnet", - description="Real-time tone annotation — Elcor-style subtext for ND/autistic users", + description="Real-time tone annotation — tonal subtext labels for ND/autistic users", version="0.1.0", + lifespan=lifespan, ) # ── Mode middleware (applied before CORS so headers are always present) ────── @@ -58,6 +71,8 @@ app.include_router(events.router) app.include_router(history.router) app.include_router(audio.router) app.include_router(export.router) +app.include_router(samples.router) +app.include_router(corrections.router, prefix="/corrections", tags=["corrections"]) @app.get("/health") diff --git a/app/migrations/001_corrections.sql b/app/migrations/001_corrections.sql new file mode 100644 index 0000000..ab2d308 --- /dev/null +++ b/app/migrations/001_corrections.sql @@ -0,0 +1,21 @@ +-- Migration 001: Corrections table for tone annotation training data. +-- Users can rate annotations (up/down) and submit corrected versions. +-- Only opted_in=1 rows are exported to the Avocet SFT pipeline. + +CREATE TABLE IF NOT EXISTS corrections ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + item_id TEXT NOT NULL DEFAULT '', -- session_id or event_id + product TEXT NOT NULL DEFAULT 'linnet', + correction_type TEXT NOT NULL DEFAULT 'annotation', + input_text TEXT NOT NULL, -- the utterance that was annotated + original_output TEXT NOT NULL, -- the LLM annotation produced + corrected_output TEXT NOT NULL DEFAULT '', -- user's correction (empty = thumbs up) + rating TEXT NOT NULL DEFAULT 'down', -- 'up' | 'down' + context TEXT NOT NULL DEFAULT '{}', -- JSON: session_id, model, elcor flag, etc. + opted_in INTEGER NOT NULL DEFAULT 0, -- 1 = user consented to share for training + created_at TEXT NOT NULL DEFAULT (datetime('now')) +); + +CREATE INDEX IF NOT EXISTS idx_corrections_product ON corrections (product); +CREATE INDEX IF NOT EXISTS idx_corrections_opted_in ON corrections (opted_in); +CREATE INDEX IF NOT EXISTS idx_corrections_item_id ON corrections (item_id); diff --git a/app/models/queue_event.py b/app/models/queue_event.py new file mode 100644 index 0000000..e34f230 --- /dev/null +++ b/app/models/queue_event.py @@ -0,0 +1,32 @@ +# app/models/queue_event.py — call queue state and environment events +from __future__ import annotations + +import json +from dataclasses import dataclass + + +@dataclass +class QueueEvent: + """ + Call queue state or environmental classification from cf-voice AST. + + event_type is either "queue" or "environ". + Broadcasts via SSE as `event: queue-event` or `event: environ-event`. + Not stored in session history. + """ + session_id: str + event_type: str # "queue" or "environ" + label: str # e.g. "hold_music", "ringback", "call_center", "quiet" + confidence: float + timestamp: float + + def to_sse(self) -> str: + payload = { + "event_type": self.event_type, + "session_id": self.session_id, + "label": self.label, + "confidence": self.confidence, + "timestamp": self.timestamp, + } + sse_name = "queue-event" if self.event_type == "queue" else "environ-event" + return f"event: {sse_name}\ndata: {json.dumps(payload)}\n\n" diff --git a/app/models/session.py b/app/models/session.py index a6f8e3b..7476cbf 100644 --- a/app/models/session.py +++ b/app/models/session.py @@ -5,13 +5,19 @@ import asyncio import time import uuid from dataclasses import dataclass, field -from typing import Literal +from typing import Literal, Protocol, runtime_checkable from app.models.tone_event import ToneEvent SessionState = Literal["starting", "running", "stopped"] +@runtime_checkable +class SessionEvent(Protocol): + """Any event that can be broadcast over SSE from a session.""" + def to_sse(self) -> str: ... + + @dataclass class Session: """ @@ -26,14 +32,30 @@ class Session: created_at: float = field(default_factory=time.monotonic) elcor: bool = False + # cf-voice sidecar — populated by session_store._allocate_voice() when cf-orch + # is configured. Empty string means in-process fallback is active. + cf_voice_url: str = "" + cf_voice_allocation_id: str = "" + # History: last 50 events retained for GET /session/{id}/history history: list[ToneEvent] = field(default_factory=list) _subscribers: list[asyncio.Queue] = field(default_factory=list, repr=False) + # Idle tracking: monotonic timestamp of when the last subscriber left. + # None means at least one subscriber is currently active, or the session + # has never had one yet (just started). The reaper uses this to detect + # abandoned sessions after a mobile tab timeout. + last_subscriber_left_at: float | None = field(default=None, repr=False) + + def subscriber_count(self) -> int: + return len(self._subscribers) + def subscribe(self) -> asyncio.Queue: """Add an SSE subscriber. Returns its dedicated queue.""" q: asyncio.Queue = asyncio.Queue(maxsize=100) self._subscribers.append(q) + # Reset idle clock — someone is watching again + self.last_subscriber_left_at = None return q def unsubscribe(self, q: asyncio.Queue) -> None: @@ -41,12 +63,16 @@ class Session: self._subscribers.remove(q) except ValueError: pass + # Start the idle clock when the last subscriber leaves + if not self._subscribers: + self.last_subscriber_left_at = time.monotonic() - def broadcast(self, event: ToneEvent) -> None: - """Fan out a ToneEvent to all current SSE subscribers.""" - if len(self.history) >= 50: - self.history.pop(0) - self.history.append(event) + def broadcast(self, event: SessionEvent) -> None: + """Fan out any SessionEvent (tone, speaker, etc.) to all SSE subscribers.""" + if isinstance(event, ToneEvent): + if len(self.history) >= 50: + self.history.pop(0) + self.history.append(event) dead: list[asyncio.Queue] = [] for q in self._subscribers: diff --git a/app/models/speaker_event.py b/app/models/speaker_event.py new file mode 100644 index 0000000..ca85914 --- /dev/null +++ b/app/models/speaker_event.py @@ -0,0 +1,29 @@ +# app/models/speaker_event.py — speaker classification event +from __future__ import annotations + +import json +from dataclasses import dataclass + + +@dataclass +class SpeakerEvent: + """ + Speaker/environment classification from cf-voice. + + Broadcasts via SSE as `event: speaker-event` alongside tone-events. + Not stored in session history (tone history only). + """ + session_id: str + label: str # e.g. "human", "no_speaker", "ivr_synth" + confidence: float + timestamp: float + + def to_sse(self) -> str: + payload = { + "event_type": "speaker", + "session_id": self.session_id, + "label": self.label, + "confidence": self.confidence, + "timestamp": self.timestamp, + } + return f"event: speaker-event\ndata: {json.dumps(payload)}\n\n" diff --git a/app/models/transcript_event.py b/app/models/transcript_event.py new file mode 100644 index 0000000..9aa239f --- /dev/null +++ b/app/models/transcript_event.py @@ -0,0 +1,29 @@ +# app/models/transcript_event.py — live STT transcript event +from __future__ import annotations + +import json +from dataclasses import dataclass + + +@dataclass +class TranscriptEvent: + """ + Live transcription segment from cf-voice Whisper STT. + + Broadcasts via SSE as `event: transcript-event`. Not stored in history. + The label field carries the raw transcript text. + """ + session_id: str + text: str + speaker_id: str # diarization label, e.g. "SPEAKER_00" or "speaker_a" + timestamp: float + + def to_sse(self) -> str: + payload = { + "event_type": "transcript", + "session_id": self.session_id, + "text": self.text, + "speaker_id": self.speaker_id, + "timestamp": self.timestamp, + } + return f"event: transcript-event\ndata: {json.dumps(payload)}\n\n" diff --git a/app/services/annotator.py b/app/services/annotator.py index c9b0063..9d0fef0 100644 --- a/app/services/annotator.py +++ b/app/services/annotator.py @@ -8,16 +8,22 @@ from cf_voice.models import VoiceFrame from app.models.tone_event import ToneEvent -def annotate(frame: VoiceFrame, session_id: str, elcor: bool = False) -> ToneEvent | None: +def annotate( + frame: VoiceFrame, + session_id: str, + elcor: bool = False, + threshold: float = 0.10, +) -> ToneEvent | None: """ Convert a VoiceFrame into a session ToneEvent. - Returns None if the frame is below the reliability threshold (confidence - too low to annotate confidently). Callers should skip None results. + Returns None if the frame is below the reliability threshold. The default + 0.25 is calibrated for real wav2vec2 SER inference, which routinely scores + 0.15-0.45 on conversational audio. The mock used 0.6 (mock confidence was + artificially inflated). - elcor=True switches subtext to Mass Effect Elcor prefix format. - This is an easter egg -- do not pass elcor=True by default. + elcor=True switches subtext to bracketed tone-prefix format (easter egg). """ - if not frame.is_reliable(): + if not frame.is_reliable(threshold=threshold): return None return ToneEvent.from_voice_frame(frame, session_id=session_id, elcor=elcor) diff --git a/app/services/session_store.py b/app/services/session_store.py index 34b0057..4be3ad7 100644 --- a/app/services/session_store.py +++ b/app/services/session_store.py @@ -3,9 +3,9 @@ from __future__ import annotations import asyncio import logging +import time -from cf_voice.context import ContextClassifier - +from app.config import settings from app.models.session import Session from app.models.tone_event import ToneEvent from app.services.annotator import annotate @@ -15,19 +15,37 @@ logger = logging.getLogger(__name__) # Module-level singleton store — one per process _sessions: dict[str, Session] = {} _tasks: dict[str, asyncio.Task] = {} +_reaper_task: asyncio.Task | None = None + +# Audio accumulation buffer per session. +# We accumulate 100ms PCM chunks until we have CLASSIFY_WINDOW_MS of audio, +# then fire a single /classify call. Real emotion models need ≥500ms context. +_CLASSIFY_WINDOW_MS = 1000 # ms of audio per classify call; wav2vec2 needs ≥1s context +_CHUNK_MS = 100 # AudioWorklet sends 1600 samples @ 16kHz = 100ms +_CHUNKS_PER_WINDOW = _CLASSIFY_WINDOW_MS // _CHUNK_MS # 10 chunks +_audio_buffers: dict[str, list[bytes]] = {} -def create_session(elcor: bool = False) -> Session: - """Create a new session and start its ContextClassifier background task.""" +async def create_session(elcor: bool = False) -> Session: + """Create a new session and start its ContextClassifier background task. + + If CF_ORCH_URL is configured, requests a managed cf-voice instance before + starting the classifier. Falls back to in-process mock if allocation fails. + """ session = Session(elcor=elcor) _sessions[session.session_id] = session + await _allocate_voice(session) task = asyncio.create_task( _run_classifier(session), name=f"classifier-{session.session_id}", ) _tasks[session.session_id] = task session.state = "running" - logger.info("Session %s started", session.session_id) + logger.info( + "Session %s started (voice=%s)", + session.session_id, + session.cf_voice_url or "in-process", + ) return session @@ -40,7 +58,7 @@ def active_session_count() -> int: return sum(1 for s in _sessions.values() if s.state == "running") -def end_session(session_id: str) -> bool: +async def end_session(session_id: str) -> bool: """Stop and remove a session. Returns True if it existed.""" session = _sessions.pop(session_id, None) if session is None: @@ -49,17 +67,83 @@ def end_session(session_id: str) -> bool: task = _tasks.pop(session_id, None) if task and not task.done(): task.cancel() + _audio_buffers.pop(session_id, None) + await _release_voice(session) logger.info("Session %s ended", session_id) return True +async def _allocate_voice(session: Session) -> None: + """Request a managed cf-voice instance from cf-orch. No-op if CF_ORCH_URL is unset.""" + # Static override takes precedence — skip cf-orch allocation + if settings.cf_voice_url: + session.cf_voice_url = settings.cf_voice_url + return + if not settings.cf_orch_url: + return + + import httpx + + url = settings.cf_orch_url.rstrip("/") + "/api/services/cf-voice/allocate" + try: + async with httpx.AsyncClient(timeout=30.0) as client: + resp = await client.post(url, json={"caller": "linnet", "ttl_s": 3600.0}) + resp.raise_for_status() + data = resp.json() + session.cf_voice_url = data["url"] + session.cf_voice_allocation_id = data["allocation_id"] + logger.info( + "cf-orch allocated cf-voice for session %s: %s (alloc=%s)", + session.session_id, data["url"], data["allocation_id"], + ) + except Exception as exc: + logger.warning( + "cf-orch allocation failed for session %s: %s — falling back to in-process", + session.session_id, exc, + ) + + +async def _release_voice(session: Session) -> None: + """Release a cf-voice allocation back to cf-orch. No-op if not orch-managed.""" + if not session.cf_voice_allocation_id or not settings.cf_orch_url: + return + + import httpx + + url = ( + settings.cf_orch_url.rstrip("/") + + f"/api/services/cf-voice/allocations/{session.cf_voice_allocation_id}" + ) + try: + async with httpx.AsyncClient(timeout=5.0) as client: + await client.delete(url) + logger.info("Released cf-voice allocation for session %s", session.session_id) + except Exception as exc: + logger.warning( + "cf-orch release failed for session %s: %s", session.session_id, exc + ) + + async def _run_classifier(session: Session) -> None: """ - Background task: stream VoiceFrames from cf-voice and broadcast ToneEvents. + Background task: stream VoiceFrames and broadcast ToneEvents. - Starts the ContextClassifier (mock or real depending on CF_VOICE_MOCK), - converts each frame via annotator.annotate(), and fans out to subscribers. + Two modes: + - Sidecar (cf-orch allocated or CF_VOICE_URL set): holds the session open + while audio chunks are forwarded to cf-voice via forward_audio_chunk(). + - In-process (no sidecar): runs ContextClassifier.from_env() directly. + Used for local dev and mock mode when CF_ORCH_URL is unset or allocation failed. """ + if session.cf_voice_url: + await _run_classifier_sidecar(session) + else: + await _run_classifier_inprocess(session) + + +async def _run_classifier_inprocess(session: Session) -> None: + """In-process path: ContextClassifier.stream() — used when CF_VOICE_URL is unset.""" + from cf_voice.context import ContextClassifier + classifier = ContextClassifier.from_env() try: async for frame in classifier.stream(): @@ -74,3 +158,199 @@ async def _run_classifier(session: Session) -> None: await classifier.stop() session.state = "stopped" logger.info("Classifier stopped for session %s", session.session_id) + + +async def _run_classifier_sidecar(session: Session) -> None: + """ + Sidecar path: wait for audio chunks forwarded via forward_audio_chunk(). + + The sidecar does not self-generate frames — audio arrives from the browser + WebSocket and is sent to cf-voice /classify. This task holds the session + open and handles cleanup. + """ + try: + while session.state == "running": + await asyncio.sleep(1.0) + except asyncio.CancelledError: + pass + finally: + session.state = "stopped" + logger.info("Sidecar session ended for session %s", session.session_id) + + +async def forward_audio_chunk( + session: Session, + audio_b64: str, + timestamp: float, +) -> None: + """ + Accumulate PCM chunks into 500ms windows, then forward to cf-voice /classify. + + The AudioWorklet sends 100ms chunks; we buffer 10 of them (_CHUNKS_PER_WINDOW) + before firing a classify call. This gives wav2vec2 a full second of context + and keeps the classify rate at 1/s instead of 10/s. + + No-op when no cf-voice sidecar is allocated (in-process path handles its own input). + """ + voice_url = session.cf_voice_url + if not voice_url: + return + + import base64 as _b64 + import httpx + + from app.models.speaker_event import SpeakerEvent + from cf_voice.models import VoiceFrame + + # Decode incoming chunk and append to per-session buffer + raw = _b64.b64decode(audio_b64) + buf = _audio_buffers.setdefault(session.session_id, []) + buf.append(raw) + + if len(buf) < _CHUNKS_PER_WINDOW: + return # not enough audio yet — wait for more chunks + + # Flush: concatenate window, reset buffer + window_bytes = b"".join(buf) + buf.clear() + window_b64 = _b64.b64encode(window_bytes).decode() + + url = voice_url.rstrip("/") + "/classify" + payload = { + "audio_chunk": window_b64, + "timestamp": timestamp, + "elcor": session.elcor, + "session_id": session.session_id, + } + try: + async with httpx.AsyncClient(timeout=5.0) as client: + resp = await client.post(url, json=payload) + resp.raise_for_status() + data = resp.json() + except Exception as exc: + logger.warning("cf-voice sidecar call failed for session %s: %s", session.session_id, exc) + return + + from app.models.queue_event import QueueEvent + from app.models.transcript_event import TranscriptEvent + + for ev in data.get("events", []): + etype = ev.get("event_type") + + if etype == "tone": + frame = VoiceFrame( + label=ev["label"], + confidence=ev["confidence"], + speaker_id=ev.get("speaker_id", ""), + shift_magnitude=ev.get("shift_magnitude", 0.0), + timestamp=ev["timestamp"], + ) + tone = annotate(frame, session_id=session.session_id, elcor=session.elcor) + if tone is not None: + session.broadcast(tone) + + elif etype == "speaker": + speaker = SpeakerEvent( + session_id=session.session_id, + label=ev["label"], + confidence=ev.get("confidence", 1.0), + timestamp=ev["timestamp"], + ) + session.broadcast(speaker) + + elif etype == "transcript": + transcript = TranscriptEvent( + session_id=session.session_id, + text=ev["label"], + speaker_id=ev.get("speaker_id", "speaker_a"), + timestamp=ev["timestamp"], + ) + session.broadcast(transcript) + + elif etype in ("queue", "environ"): + queue_ev = QueueEvent( + session_id=session.session_id, + event_type=etype, + label=ev["label"], + confidence=ev.get("confidence", 1.0), + timestamp=ev["timestamp"], + ) + session.broadcast(queue_ev) + + +# ── Idle session reaper ─────────────────────────────────────────────────────── + +async def _reaper_loop() -> None: + """ + Periodically kill sessions with no active SSE subscribers. + + A session becomes eligible for reaping when: + - Its last SSE subscriber disconnected more than SESSION_IDLE_TTL_S seconds ago + - It has not been explicitly ended (state != "stopped") + + This covers the common mobile pattern: screen locks → browser suspends tab → + EventSource closes → SSE subscriber count drops to zero. If the user doesn't + return within the TTL window, the session is cleaned up automatically. + + The reaper runs every REAP_INTERVAL_S seconds (half the TTL, so the worst-case + overshoot is TTL + REAP_INTERVAL_S). + """ + ttl = settings.session_idle_ttl_s + interval = max(15, ttl // 2) + logger.info("Session reaper started (TTL=%ds, check every %ds)", ttl, interval) + while True: + await asyncio.sleep(interval) + now = time.monotonic() + to_reap = [ + sid + for sid, session in list(_sessions.items()) + if ( + session.state == "running" + and session.subscriber_count() == 0 + and session.last_subscriber_left_at is not None + and (now - session.last_subscriber_left_at) > ttl + ) + ] + for sid in to_reap: + logger.info( + "Reaping idle session %s (no subscribers for >%ds)", sid, ttl + ) + await end_session(sid) + + +async def _reaper_loop_once() -> None: + """Single reaper pass — used by tests to avoid sleeping.""" + ttl = settings.session_idle_ttl_s + now = time.monotonic() + to_reap = [ + sid + for sid, session in list(_sessions.items()) + if ( + session.state == "running" + and session.subscriber_count() == 0 + and session.last_subscriber_left_at is not None + and (now - session.last_subscriber_left_at) > ttl + ) + ] + for sid in to_reap: + logger.info("Reaping idle session %s (no subscribers for >%ds)", sid, ttl) + await end_session(sid) + + +def start_reaper() -> None: + """Start the idle session reaper background task. Called from app lifespan.""" + global _reaper_task + if _reaper_task is None or _reaper_task.done(): + _reaper_task = asyncio.create_task(_reaper_loop(), name="session-reaper") + + +async def stop_reaper() -> None: + """Cancel the reaper task cleanly. Called from app lifespan shutdown.""" + global _reaper_task + if _reaper_task and not _reaper_task.done(): + _reaper_task.cancel() + try: + await _reaper_task + except asyncio.CancelledError: + pass + _reaper_task = None diff --git a/compose.cloud.yml b/compose.cloud.yml index 5e4194a..edcc6d6 100644 --- a/compose.cloud.yml +++ b/compose.cloud.yml @@ -17,6 +17,8 @@ services: build: context: . dockerfile: Dockerfile + args: + GIT_TOKEN: ${GIT_TOKEN:-} restart: unless-stopped env_file: .env environment: @@ -31,6 +33,8 @@ services: volumes: - /devl/linnet-cloud-data:/devl/linnet-cloud-data - ${HOME}/.config/circuitforge:/root/.config/circuitforge:ro + # Live-reload app code without rebuilding during active dev + - ./app:/app/app:ro networks: - linnet-cloud-net diff --git a/compose.yml b/compose.yml index d90daf9..62bb21a 100644 --- a/compose.yml +++ b/compose.yml @@ -1,12 +1,21 @@ services: linnet-api: - build: . + build: + context: . + dockerfile: Dockerfile + args: + GIT_TOKEN: ${GIT_TOKEN:-} ports: - "${LINNET_PORT:-8522}:8522" env_file: - .env environment: CF_VOICE_MOCK: "${CF_VOICE_MOCK:-1}" + volumes: + # Live-reload app code without rebuilding the image in dev + - ./app:/app/app:ro + extra_hosts: + - "host.docker.internal:host-gateway" restart: unless-stopped linnet-frontend: diff --git a/data/linnet.db b/data/linnet.db new file mode 100644 index 0000000..165d0f3 Binary files /dev/null and b/data/linnet.db differ diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..8ea2e9a --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,3148 @@ +{ + "name": "linnet-frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "linnet-frontend", + "version": "0.1.0", + "dependencies": { + "pinia": "^2.1.7", + "vue": "^3.4.0" + }, + "devDependencies": { + "@vitejs/plugin-vue": "^5.0.4", + "unocss": "^0.59.4", + "vite": "^5.2.0" + } + }, + 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b/frontend/src/components/ComposeBar.vue @@ -19,15 +19,27 @@ {{ store.sessionId?.slice(0, 8) }}… -