Logan
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
from fastapi import APIRouter, BackgroundTasks, HTTPException, Query
|
|
from typing import Optional
|
|
from app.internal import firestore as fstore
|
|
|
|
router = APIRouter(prefix="/calls", tags=["calls"])
|
|
|
|
|
|
@router.get("")
|
|
async def list_calls(
|
|
node_id: Optional[str] = Query(None),
|
|
status: Optional[str] = Query(None),
|
|
system_id: Optional[str] = Query(None),
|
|
):
|
|
filters = {}
|
|
if node_id:
|
|
filters["node_id"] = node_id
|
|
if status:
|
|
filters["status"] = status
|
|
if system_id:
|
|
filters["system_id"] = system_id
|
|
return await fstore.collection_list("calls", **filters)
|
|
|
|
|
|
@router.get("/{call_id}")
|
|
async def get_call(call_id: str):
|
|
call = await fstore.doc_get("calls", call_id)
|
|
if not call:
|
|
raise HTTPException(404, f"Call '{call_id}' not found.")
|
|
return call
|
|
|
|
|
|
@router.post("/{call_id}/reprocess")
|
|
async def reprocess_call(call_id: str, background_tasks: BackgroundTasks):
|
|
"""Re-run the full intelligence pipeline (transcription → extraction → correlation) for a call."""
|
|
call = await fstore.doc_get("calls", call_id)
|
|
if not call:
|
|
raise HTTPException(404, f"Call '{call_id}' not found.")
|
|
|
|
from app.routers.upload import _run_intelligence_pipeline, _public_url_to_gcs_uri
|
|
|
|
audio_url = call.get("audio_url")
|
|
gcs_uri = _public_url_to_gcs_uri(audio_url) if audio_url else None
|
|
|
|
background_tasks.add_task(
|
|
_run_intelligence_pipeline,
|
|
call_id=call_id,
|
|
node_id=call.get("node_id"),
|
|
system_id=call.get("system_id"),
|
|
talkgroup_id=call.get("talkgroup_id"),
|
|
talkgroup_name=call.get("talkgroup_name"),
|
|
gcs_uri=gcs_uri,
|
|
)
|
|
return {"ok": True, "call_id": call_id}
|