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170 lines
6.9 KiB
170 lines
6.9 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import base64
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from typing import Union
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from fastapi import APIRouter
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from fastapi import WebSocket
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import soundfile
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import io
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from fastapi import WebSocketDisconnect
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from starlette.websockets import WebSocketState as WebSocketState
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from paddlespeech.cli.log import logger
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from paddlespeech.server.engine.asr.online.asr_engine import PaddleASRConnectionHanddler
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from paddlespeech.server.engine.engine_pool import get_engine_pool
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from paddlespeech.server.restful.response import ASRResponse
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from paddlespeech.server.restful.response import ErrorResponse
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from paddlespeech.server.restful.request import ASRRequest
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from paddlespeech.server.utils.exception import ServerBaseException
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from paddlespeech.server.utils.errors import failed_response
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from paddlespeech.server.utils.errors import ErrorCode
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router = APIRouter()
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@router.websocket('/paddlespeech/asr/streaming')
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async def websocket_endpoint(websocket: WebSocket):
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"""PaddleSpeech Online ASR Server api
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Args:
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websocket (WebSocket): the websocket instance
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"""
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#1. the interface wait to accept the websocket protocal header
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# and only we receive the header, it establish the connection with specific thread
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await websocket.accept()
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#2. if we accept the websocket headers, we will get the online asr engine instance
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engine_pool = get_engine_pool()
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asr_engine = engine_pool['asr']
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#3. each websocket connection, we will create an PaddleASRConnectionHanddler to process such audio
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# and each connection has its own connection instance to process the request
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# and only if client send the start signal, we create the PaddleASRConnectionHanddler instance
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connection_handler = None
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try:
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#4. we do a loop to process the audio package by package according the protocal
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# and only if the client send finished signal, we will break the loop
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while True:
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# careful here, changed the source code from starlette.websockets
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# 4.1 we wait for the client signal for the specific action
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assert websocket.application_state == WebSocketState.CONNECTED
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message = await websocket.receive()
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websocket._raise_on_disconnect(message)
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#4.2 text for the action command and bytes for pcm data
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if "text" in message:
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# we first parse the specific command
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message = json.loads(message["text"])
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if 'signal' not in message:
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resp = {"status": "ok", "message": "no valid json data"}
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await websocket.send_json(resp)
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# start command, we create the PaddleASRConnectionHanddler instance to process the audio data
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# end command, we process the all the last audio pcm and return the final result
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# and we break the loop
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if message['signal'] == 'start':
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resp = {"status": "ok", "signal": "server_ready"}
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# do something at begining here
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# create the instance to process the audio
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connection_handler = PaddleASRConnectionHanddler(asr_engine)
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await websocket.send_json(resp)
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elif message['signal'] == 'end':
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# reset single engine for an new connection
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# and we will destroy the connection
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connection_handler.decode(is_finished=True)
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connection_handler.rescoring()
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asr_results = connection_handler.get_result()
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word_time_stamp = connection_handler.get_word_time_stamp()
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connection_handler.reset()
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resp = {
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"status": "ok",
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"signal": "finished",
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'result': asr_results,
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'times': word_time_stamp
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}
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await websocket.send_json(resp)
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break
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else:
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resp = {"status": "ok", "message": "no valid json data"}
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await websocket.send_json(resp)
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elif "bytes" in message:
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# bytes for the pcm data
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message = message["bytes"]
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# we extract the remained audio pcm
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# and decode for the result in this package data
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connection_handler.extract_feat(message)
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connection_handler.decode(is_finished=False)
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asr_results = connection_handler.get_result()
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# return the current period result
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# if the engine create the vad instance, this connection will have many period results
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resp = {'result': asr_results}
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await websocket.send_json(resp)
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except WebSocketDisconnect as e:
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logger.error(e)
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# @router.post(
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# "/paddlespeech/asr/search/", response_model=Union[ASRResponse, ErrorResponse])
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# def asr(request_body: ASRRequest):
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# """asr api
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# Args:
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# request_body (ASRRequest): [description]
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# Returns:
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# json: [description]
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# """
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# try:
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# audio_data = base64.b64decode(request_body.audio)
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# # get single engine from engine pool
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# engine_pool = get_engine_pool()
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# asr_engine = engine_pool['asr']
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# samples, sample_rate = soundfile.read(io.BytesIO(audio_data), dtype='int16')
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# # print(samples.shape)
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# # print(sample_rate)
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# connection_handler = PaddleASRConnectionHanddler(asr_engine)
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# connection_handler.extract_feat(samples)
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# connection_handler.decode(is_finished=True)
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# asr_results = connection_handler.rescoring()
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# asr_results = connection_handler.get_result()
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# word_time_stamp = connection_handler.get_word_time_stamp()
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# response = {
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# "success": True,
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# "code": 200,
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# "message": {
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# "description": "success"
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# },
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# "result": {
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# "transcription": asr_results,
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# "times": word_time_stamp
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# }
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# }
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# except ServerBaseException as e:
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# response = failed_response(e.error_code, e.msg)
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# except BaseException as e:
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# response = failed_response(ErrorCode.SERVER_UNKOWN_ERR)
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# print(e)
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# return response |