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https://github.com/dograh-hq/dograh.git
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77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
from typing import Dict
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from fastapi import APIRouter, BackgroundTasks, Depends
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from loguru import logger
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from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
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from pipecat.utils.context import set_current_run_id
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from pydantic import BaseModel
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from api.db.models import UserModel
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from api.services.auth.depends import get_user
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from api.services.pipecat.run_pipeline import run_pipeline_smallwebrtc
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router = APIRouter(prefix="/pipecat")
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pcs_map: Dict[str, SmallWebRTCConnection] = {}
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ice_servers = ["stun:stun.l.google.com:19302"]
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class RTCOfferRequest(BaseModel):
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pc_id: str | None
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sdp: str
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type: str
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workflow_id: int
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workflow_run_id: int
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restart_pc: bool = False
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call_context_vars: dict | None = None
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@router.post("/rtc-offer")
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async def offer(
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request: RTCOfferRequest,
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background_tasks: BackgroundTasks,
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user: UserModel = Depends(get_user),
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):
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pc_id = request.pc_id
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if pc_id and pc_id in pcs_map:
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# Ensure run_id context is available for logs even when reusing an existing PC.
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set_current_run_id(request.workflow_run_id)
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pipecat_connection = pcs_map[pc_id]
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logger.info(f"Reusing existing connection for pc_id: {pc_id}")
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await pipecat_connection.renegotiate(
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sdp=request.sdp,
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type=request.type,
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restart_pc=request.restart_pc,
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)
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else:
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# Set the run_id *before* creating the SmallWebRTCConnection so that all
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# async tasks and event-handler coroutines spawned inside the
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# constructor inherit the correct context variable value. Otherwise the
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# default ("NA") leaks into the log output produced by those tasks.
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set_current_run_id(request.workflow_run_id)
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pipecat_connection = SmallWebRTCConnection(ice_servers)
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await pipecat_connection.initialize(sdp=request.sdp, type=request.type)
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@pipecat_connection.event_handler("closed")
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async def handle_disconnected(webrtc_connection: SmallWebRTCConnection):
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logger.info(
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f"In pipecat connection closed handler. Popping peer connection pc_id: {webrtc_connection.pc_id} from pcs_map"
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)
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pcs_map.pop(webrtc_connection.pc_id, None)
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background_tasks.add_task(
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run_pipeline_smallwebrtc,
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pipecat_connection,
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request.workflow_id,
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request.workflow_run_id,
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user.id,
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request.call_context_vars or {},
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)
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answer = pipecat_connection.get_answer()
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pcs_map[answer["pc_id"]] = pipecat_connection
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return answer
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