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89 lines
2.7 KiB
89 lines
2.7 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 argparse
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from typing import List
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import uvicorn
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from fastapi import FastAPI
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from ..executor import BaseExecutor
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from ..util import cli_server_register
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from ..util import stats_wrapper
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from paddlespeech.server.engine.engine_pool import init_engine_pool
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from paddlespeech.server.restful.api import setup_router
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from paddlespeech.server.utils.config import get_config
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__all__ = ['ServerExecutor']
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app = FastAPI(
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title="PaddleSpeech Serving API", description="Api", version="0.0.1")
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@cli_server_register(
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name='paddlespeech_server.start', description='Start the service')
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class ServerExecutor(BaseExecutor):
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def __init__(self):
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super(ServerExecutor, self).__init__()
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self.parser = argparse.ArgumentParser(
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prog='paddlespeech_server.start', add_help=True)
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self.parser.add_argument(
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"--config_file",
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action="store",
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help="yaml file of the app",
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default=None,
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required=True)
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self.parser.add_argument(
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"--log_file",
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action="store",
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help="log file",
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default="./log/paddlespeech.log")
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def init(self, config) -> bool:
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"""system initialization
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Args:
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config (CfgNode): config object
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Returns:
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bool:
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"""
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# init api
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api_list = list(config.engine_backend)
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api_router = setup_router(api_list)
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app.include_router(api_router)
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if not init_engine_pool(config):
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return False
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return True
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def execute(self, argv: List[str]) -> bool:
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args = self.parser.parse_args(argv)
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config = get_config(args.config_file)
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if self.init(config):
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uvicorn.run(app, host=config.host, port=config.port, debug=True)
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@stats_wrapper
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def __call__(self,
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config_file: str="./conf/application.yaml",
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log_file: str="./log/paddlespeech.log"):
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"""
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Python API to call an executor.
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"""
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config = get_config(config_file)
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if self.init(config):
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uvicorn.run(app, host=config.host, port=config.port, debug=True)
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