Files
ai-video-fullstack/backend/services/pipecat/transports.py

113 lines
3.5 KiB
Python

"""Transport 工厂——管线与"输出方式"解耦的关键。
同一条 STT→LLM→TTS 管线,可以挂在不同 transport 上:
- WebRTC:浏览器,低延迟,带 NAT 穿透 -> build_webrtc_transport
- WS: 裸音频流,服务端/话务/自定义客户端,简单 -> build_ws_transport
未来加电话(Twilio/Vonage)只是再加一个 build_xxx_transport + 对应 serializer。
对应 dograh 的 transport_setup.py(WebRTC)+ 各 telephony provider 的 transport.py(WS)。
"""
from fastapi import WebSocket
from pipecat.transports.base_transport import TransportParams
# WebRTC
from pipecat.transports.smallwebrtc.connection import SmallWebRTCConnection
from pipecat.transports.smallwebrtc.transport import (
SmallWebRTCOutputTransport,
SmallWebRTCTransport,
)
# 裸 WS 音频流
from pipecat.transports.websocket.fastapi import (
FastAPIWebsocketOutputTransport,
FastAPIWebsocketTransport,
FastAPIWebsocketParams,
)
from pipecat.serializers.protobuf import ProtobufFrameSerializer
from services.pipecat.call_lifecycle import FixedSpeechPlaybackMarkerFrame
class _PlaybackMarkerOutputMixin:
"""Resolve fixed-speech markers after preceding audio has been sent."""
async def write_transport_frame(self, frame):
if isinstance(frame, FixedSpeechPlaybackMarkerFrame):
await frame.completion.mark_played()
return
await super().write_transport_frame(frame)
class _WebRTCOutputTransport(
_PlaybackMarkerOutputMixin,
SmallWebRTCOutputTransport,
):
pass
class _WebRTCTransport(SmallWebRTCTransport):
def output(self) -> SmallWebRTCOutputTransport:
if not self._output:
self._output = _WebRTCOutputTransport(
self._client,
self._params,
name=self._input_name,
)
return self._output
class _WebsocketOutputTransport(
_PlaybackMarkerOutputMixin,
FastAPIWebsocketOutputTransport,
):
pass
class _WebsocketTransport(FastAPIWebsocketTransport):
def __init__(self, websocket: WebSocket, params: FastAPIWebsocketParams):
super().__init__(websocket=websocket, params=params)
self._output = _WebsocketOutputTransport(
self,
self._client,
self._params,
name=self._output_name,
)
def _base_params(*, video_in_enabled: bool = False) -> dict:
"""两种 transport 共享的音频参数。"""
return dict(
audio_in_enabled=True,
audio_out_enabled=True,
video_in_enabled=video_in_enabled,
# EndFrame 后默认补 2s 静音(防止收尾被截断)。我们的挂断已等到机器人
# 说完才触发,这段静音纯属空等,置 0 让结束语播完立即挂断。
audio_out_end_silence_secs=0,
)
def build_webrtc_transport(
connection: SmallWebRTCConnection,
*,
video_in_enabled: bool = False,
) -> SmallWebRTCTransport:
return _WebRTCTransport(
webrtc_connection=connection,
params=TransportParams(**_base_params(video_in_enabled=video_in_enabled)),
)
def build_ws_transport(websocket: WebSocket) -> FastAPIWebsocketTransport:
"""裸 WS 输出。序列化用 protobuf(自定义客户端用同款解码);
若对接电话商,把 serializer 换成对应的 TwilioFrameSerializer 等即可。
"""
return _WebsocketTransport(
websocket=websocket,
params=FastAPIWebsocketParams(
serializer=ProtobufFrameSerializer(),
**_base_params(),
),
)