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- import pandas as pd
- from flask import Flask,request,jsonify
- import time
- import logging
- import traceback
- from functools import reduce
- from common.database_dml import get_df_list_from_mongo,insert_data_into_mongo
- app = Flask('data_join——service')
- @app.route('/hello', methods=['POST'])
- def hello():
- return jsonify(message='Hello, World!')
- #1.AGC/AVC信号判断限电(有的场站准 有的不准) 1种方法 数据库数据有问题 暂时用不了
- def data_merge(df_list, args):
- join_key,join_type,features = args['join_key'], args['join_type'], str_to_list(args['col_reserve'])
- result = reduce(lambda left, right: pd.merge(left, right, how=join_type, on=join_key), df_list)
- if len(features)==0:
- return result
- else:
- return result[features]
- @app.route('/data_join', methods=['POST'])
- def data_join():
- # 获取程序开始时间
- start_time = time.time()
- result = {}
- success = 0
- print("Program starts execution!")
- try:
- args = request.values.to_dict()
- print('args',args)
- logger.info(args)
- df_list = get_df_list_from_mongo(args)
- res_df = data_merge(df_list,args)
- insert_data_into_mongo(res_df,args)
- success = 1
- except Exception as e:
- my_exception = traceback.format_exc()
- my_exception.replace("\n","\t")
- result['msg'] = my_exception
- end_time = time.time()
- result['success'] = success
- result['args'] = args
- result['start_time'] = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(start_time))
- result['end_time'] = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(end_time))
- print("Program execution ends!")
- return result
- def str_to_list(arg):
- if arg == '':
- return []
- else:
- return arg.split(',')
- if __name__=="__main__":
- print("Program starts execution!")
- logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
- logger = logging.getLogger("data_join")
- from waitress import serve
- serve(app, host="0.0.0.0", port=10094)
- print("server start!")
-
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