pyr0ball
7e14f9135e
FastAPI backend (port 8522):
- Session lifecycle: POST /session/start, DELETE /session/{id}/end, GET /session/{id}
- SSE stream: GET /session/{id}/stream — per-subscriber asyncio.Queue fan-out, 15s heartbeat
- History: GET /session/{id}/history with min_confidence + limit filters
- Audio: WS /session/{id}/audio — binary PCM ingestion stub (real inference in v0.2.x)
- Export: GET /session/{id}/export — downloadable JSON session log
- ContextClassifier background task per session (CF_VOICE_MOCK=1 in dev)
- ToneEvent SSE wire format per cf-core#40 (locked field names)
- Tier gate: CFG-LNNT- prefix check, 402 for paid features
Vue 3 frontend (port 8521, Vite + UnoCSS + Pinia):
- NowPanel: affect-aware border tint, subtext, prosody flags, shift indicator
- HistoryStrip: horizontal scroll, last 8 events with affect color
- ComposeBar: start/stop session, SSE connection lifecycle
- useToneStream: EventSource composable
- useAudioCapture: AudioWorklet → Int16 PCM → WebSocket (v0.1.x stub)
- audio-processor.js: 100ms chunk accumulator in AudioWorklet thread
- Respects prefers-reduced-motion globally
26 tests passing, manage.sh, Dockerfile, compose.yml included.
47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
# app/api/history.py — session history endpoint
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from __future__ import annotations
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from fastapi import APIRouter, HTTPException
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from app.services import session_store
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router = APIRouter(prefix="/session", tags=["history"])
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@router.get("/{session_id}/history")
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def get_history(
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session_id: str,
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min_confidence: float = 0.0,
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limit: int = 50,
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) -> dict:
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"""
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Return the annotation history for a session.
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min_confidence filters out low-confidence events.
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limit caps the response (most recent first).
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"""
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session = session_store.get_session(session_id)
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if session is None:
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raise HTTPException(status_code=404, detail=f"Session {session_id} not found")
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events = [
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e for e in session.history
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if e.confidence >= min_confidence
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]
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events = events[-limit:] # most recent
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return {
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"session_id": session_id,
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"count": len(events),
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"events": [
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{
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"label": e.label,
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"confidence": e.confidence,
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"speaker_id": e.speaker_id,
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"shift_magnitude": e.shift_magnitude,
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"timestamp": e.timestamp,
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"subtext": e.subtext,
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"affect": e.affect,
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}
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for e in events
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],
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}
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