Implement per-system AI flags
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@@ -16,6 +16,11 @@ class TenCodesBody(BaseModel):
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ten_codes: Dict[str, str]
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class AiFlagsBody(BaseModel):
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stt_enabled: Optional[bool] = None
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correlation_enabled: Optional[bool] = None
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@router.get("")
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async def list_systems():
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return await fstore.collection_list("systems")
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@@ -54,6 +59,30 @@ async def delete_system(system_id: str):
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await fstore.doc_delete("systems", system_id)
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# ── Per-system AI flag overrides ──────────────────────────────────────────────
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@router.put("/{system_id}/ai-flags")
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async def update_system_ai_flags(system_id: str, body: AiFlagsBody):
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"""
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Set per-system AI flag overrides. Only fields included in the body are
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written; omitted fields remain unchanged (or absent, meaning inherit global).
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Pass null to clear an override and fall back to the global flag.
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"""
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existing = await fstore.doc_get("systems", system_id)
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if not existing:
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raise HTTPException(404, f"System '{system_id}' not found.")
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current: dict = existing.get("ai_flags") or {}
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for field, value in body.model_dump(exclude_unset=False).items():
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if value is None:
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current.pop(field, None) # clear override → inherit global
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else:
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current[field] = value
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await fstore.doc_update("systems", system_id, {"ai_flags": current})
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return {"ok": True, "ai_flags": current}
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# ── Ten-codes endpoints ────────────────────────────────────────────────────────
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@router.get("/{system_id}/ten-codes")
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@@ -161,21 +161,34 @@ async def _run_intelligence_pipeline(
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flags = await get_flags()
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# Resolve per-system overrides: system flag=False beats global flag=True,
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# but global flag=False beats everything (master switch).
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system_ai_flags: dict = {}
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if system_id:
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sys_doc = await fstore.doc_get("systems", system_id)
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system_ai_flags = (sys_doc or {}).get("ai_flags") or {}
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def _flag(name: str) -> bool:
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if not flags[name]: # global master off
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return False
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return system_ai_flags.get(name, True) # system override, default inherit
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transcript: Optional[str] = None
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segments: list[dict] = []
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# Step 1: Transcription
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if gcs_uri:
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if flags["stt_enabled"]:
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if _flag("stt_enabled"):
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transcript, segments = await transcription.transcribe_call(
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call_id, gcs_uri, talkgroup_name, system_id=system_id
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)
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else:
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logger.info(f"STT disabled — skipping transcription for call {call_id}")
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scope = "globally" if not flags["stt_enabled"] else f"system {system_id}"
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logger.info(f"STT disabled ({scope}) — skipping transcription for call {call_id}")
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# Step 2: Scene detection + intelligence extraction
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scenes: list[dict] = []
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if flags["correlation_enabled"]:
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if _flag("correlation_enabled"):
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if transcript:
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scenes = await intelligence.extract_scenes(
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call_id, transcript, talkgroup_name,
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@@ -183,7 +196,8 @@ async def _run_intelligence_pipeline(
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node_id=node_id,
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)
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else:
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logger.info(f"Correlation disabled — skipping scene extraction and correlation for call {call_id}")
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scope = "globally" if not flags["correlation_enabled"] else f"system {system_id}"
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logger.info(f"Correlation disabled ({scope}) — skipping scene extraction and correlation for call {call_id}")
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# Step 3: Correlate each scene independently.
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# A single recording can produce multiple incidents on a busy channel.
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