linnet/app/services/session_store.py
pyr0ball 321abe0646 feat: test/demo/cloud profiles — middleware, compose files, nginx, manage.sh
app/config.py: centralized Settings (DEMO_MODE, CLOUD_MODE, ports, etc.)
app/middleware/demo.py: DemoModeMiddleware — caps sessions (429), blocks export (403), adds X-Linnet-Mode header
app/middleware/cloud.py: CloudAuthMiddleware — requires X-CF-Session on /session/* routes, 401 without it
app/services/session_store.py: active_session_count() for demo cap
app/main.py: wires middleware conditionally, extends CORS for cloud origins

compose.test.yml: hermetic pytest runner in Docker (CF_VOICE_MOCK=1)
compose.demo.yml: DEMO_MODE=true, ports 8523/8524, demo.circuitforge.tech/linnet
compose.cloud.yml: CLOUD_MODE=true, ports 8522/8527, menagerie.circuitforge.tech/linnet

docker/web/Dockerfile: two-stage build (node:20 → nginx:alpine), VITE_BASE_URL/VITE_API_BASE ARGs
docker/web/nginx.conf: SSE + WS proxy, SPA routing (dev/demo)
docker/web/nginx.cloud.conf: adds X-CF-Session forwarding, /linnet/ alias for path-strip Caddy routing

manage.sh: profile arg (dev|demo|cloud|test), start/stop/restart/status/test/logs/build/open per profile
tests/test_profiles.py: 8 tests — demo export block, session cap, cloud auth gate, mode headers
2026-04-06 18:39:07 -07:00

76 lines
2.4 KiB
Python

# app/services/session_store.py — session lifecycle and classifier management
from __future__ import annotations
import asyncio
import logging
from cf_voice.context import ContextClassifier
from app.models.session import Session
from app.models.tone_event import ToneEvent
from app.services.annotator import annotate
logger = logging.getLogger(__name__)
# Module-level singleton store — one per process
_sessions: dict[str, Session] = {}
_tasks: dict[str, asyncio.Task] = {}
def create_session(elcor: bool = False) -> Session:
"""Create a new session and start its ContextClassifier background task."""
session = Session(elcor=elcor)
_sessions[session.session_id] = 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)
return session
def get_session(session_id: str) -> Session | None:
return _sessions.get(session_id)
def active_session_count() -> int:
"""Return the number of currently running sessions."""
return sum(1 for s in _sessions.values() if s.state == "running")
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:
return False
session.state = "stopped"
task = _tasks.pop(session_id, None)
if task and not task.done():
task.cancel()
logger.info("Session %s ended", session_id)
return True
async def _run_classifier(session: Session) -> None:
"""
Background task: stream VoiceFrames from cf-voice 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.
"""
classifier = ContextClassifier.from_env()
try:
async for frame in classifier.stream():
if session.state == "stopped":
break
event = annotate(frame, session_id=session.session_id, elcor=session.elcor)
if event is not None:
session.broadcast(event)
except asyncio.CancelledError:
pass
finally:
await classifier.stop()
session.state = "stopped"
logger.info("Classifier stopped for session %s", session.session_id)