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}