# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. #!flask/bin/python # pylint: disable=doc-string-missing from flask import Flask, request, abort from multiprocessing import Pool, Process from paddle_serving_server import OpMaker, OpSeqMaker, Server from paddle_serving_client import Client class WebService(object): def __init__(self, name="default_service"): self.name = name def load_model_config(self, model_config): self.model_config = model_config def _launch_rpc_service(self): op_maker = OpMaker() read_op = op_maker.create('general_reader') general_infer_op = op_maker.create('general_infer') general_response_op = op_maker.create('general_response') op_seq_maker = OpSeqMaker() op_seq_maker.add_op(read_op) op_seq_maker.add_op(general_infer_op) op_seq_maker.add_op(general_response_op) server = Server() server.set_op_sequence(op_seq_maker.get_op_sequence()) server.set_num_threads(16) server.load_model_config(self.model_config) server.prepare_server( workdir=self.workdir, port=self.port + 1, device=self.device) server.run_server() def prepare_server(self, workdir="", port=9393, device="cpu"): self.workdir = workdir self.port = port self.device = device def _launch_web_service(self): app_instance = Flask(__name__) client_service = Client() client_service.load_client_config( "{}/serving_server_conf.prototxt".format(self.model_config)) client_service.connect(["0.0.0.0:{}".format(self.port + 1)]) service_name = "/" + self.name + "/prediction" @app_instance.route(service_name, methods=['POST']) def get_prediction(): if not request.json: abort(400) if "fetch" not in request.json: abort(400) try: feed, fetch = self.preprocess(request.json, request.json["fetch"]) if isinstance(feed, list): fetch_map_batch = client_service.predict( feed_batch=feed, fetch=fetch) fetch_map_batch = self.postprocess( feed=request.json, fetch=fetch, fetch_map=fetch_map_batch) result = {"result": fetch_map_batch} elif isinstance(feed, dict): if "fetch" in feed: del feed["fetch"] fetch_map = client_service.predict(feed=feed, fetch=fetch) result = self.postprocess( feed=request.json, fetch=fetch, fetch_map=fetch_map) except ValueError: result = {"result": "Request Value Error"} return result app_instance.run(host="0.0.0.0", port=self.port, threaded=False, processes=1) def run_server(self): import socket localIP = socket.gethostbyname(socket.gethostname()) print("web service address:") print("http://{}:{}/{}/prediction".format(localIP, self.port, self.name)) p_rpc = Process(target=self._launch_rpc_service) p_web = Process(target=self._launch_web_service) p_rpc.start() p_web.start() p_web.join() p_rpc.join() def preprocess(self, feed={}, fetch=[]): return feed, fetch def postprocess(self, feed={}, fetch=[], fetch_map=None): return fetch_map