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- # -*- coding: utf-8 -*-
- """
- Created on Fri Jun 1 18:03:03 2018
- @author: DONG
- """
- import sys
- import os
- from flask import Flask, jsonify
- from flask import abort
- from flask import request
- sys.path.append(os.path.dirname(__file__)+"/..")
- os.environ["KERAS_BACKEND"] = "tensorflow"
- app = Flask(__name__)
- app.config['JSON_AS_ASCII'] = False
- limit_num = "4"
- os.environ["OMP_NUM_THREADS"] = limit_num # 1为一个核,设置为5的时候,系统显示用了10个核,不太清楚之间的具体数量关系
- os.environ["OMP_NUM_THREADS"] = limit_num # export OMP_NUM_THREADS=1
- os.environ["OPENBLAS_NUM_THREADS"] = limit_num # export OPENBLAS_NUM_THREADS=1
- os.environ["MKL_NUM_THREADS"] = limit_num # export MKL_NUM_THREADS=1
- os.environ["VECLIB_MAXIMUM_THREADS"] = limit_num # export VECLIB_MAXIMUM_THREADS=1
- os.environ["NUMEXPR_NUM_THREADS"] = limit_num # export NUMEXPR_NUM_THREADS=1
- import time
- import uuid
- import numpy as np
- import ctypes
- import inspect
- from threading import Thread
- import traceback
- import json
- os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
- os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
- sys.path.append(os.path.abspath("."))
- from nltk.address.district_extractor import DistrictExtractor
- dist_extractr = DistrictExtractor()
- #自定义jsonEncoder
- class MyEncoder(json.JSONEncoder):
- def default(self, obj):
- if isinstance(obj, np.ndarray):
- return obj.tolist()
- elif isinstance(obj, bytes):
- return str(obj, encoding='utf-8')
- elif isinstance(obj, (np.float_, np.float16, np.float32,
- np.float64)):
- return float(obj)
- return json.JSONEncoder.default(self, obj)
- def _async_raise(tid, exctype):
- """raises the exception, performs cleanup if needed"""
- tid = ctypes.c_long(tid)
- if not inspect.isclass(exctype):
- exctype = type(exctype)
- res = ctypes.pythonapi.PyThreadState_SetAsyncExc(tid, ctypes.py_object(exctype))
- if res == 0:
- raise ValueError("invalid thread id")
- elif res != 1:
- ctypes.pythonapi.PyThreadState_SetAsyncExc(tid, None)
- raise SystemError("PyThreadState_SetAsyncExc failed")
- def stop_thread(thread):
- _async_raise(thread.ident, SystemExit)
- @app.route("/address_extractor",methods=['POST'])
- def address_extractor():
- text = '浙江省杭州市余杭区崇贤街道运河路5-4号13幢312室'
- _time = time.time()
- content = request.form.get("content")
- _result = dist_extractr.predict(content)
- return json.dumps(_result,ensure_ascii=False),201
- def getPort(argv):
- port = 15030
- print(argv)
- for item in argv:
- _l = str(item).split("port=")
- if len(_l)>1:
- port = int(_l[-1])
- break
- return port
- def getWorkers(argv):
- worker = 15
- for item in argv:
- _l = str(item).split("worker=")
- if len(_l)>1:
- worker = int(_l[-1])
- break
- return worker
- def start_with_tornado(port,process_num):
- from tornado.wsgi import WSGIContainer
- from tornado.httpserver import HTTPServer
- from tornado.ioloop import IOLoop
- print("import ")
- http_server = HTTPServer(WSGIContainer(app))
- # http_server.listen(port) #shortcut for bind and start
- http_server.bind(port)
- http_server.start(process_num)
- IOLoop.instance().start()
- def start_with_flask():
- port = getPort(argv=sys.argv)
- app.run(host='0.0.0.0', port=port, threaded=True, debug=False)
- print("ContentExtractor running")
- # app.run()
- if __name__ == '__main__':
- # port = getPort(argv=sys.argv)
- # workers = getWorkers(argv=sys.argv)
- # start_with_tornado(port,workers)
- # pass
- start_with_flask()
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