algorithm_platform/data_processing/data_operation/data_join.py

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)
    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!")