121 lines
4.6 KiB
Python
121 lines
4.6 KiB
Python
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import pandas as pd
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import json
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import utils
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from config import MYSQL_HOST,MYSQL_USER,MYSQL_PASSWORD,MYSQL_DB
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import mysql.connector
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# 读取 Excel 文件
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df = pd.read_excel('/Users/zhengfei/Desktop/ttt.xlsx', header=0)
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# 将 DataFrame 转换为字典列表
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data_list = df.to_dict(orient='records')
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period_exra_arr =['当期:本期,本报告期,报告期,报告期内,本年度,本期发生额,2023年,2023年全年,2023年金额','上年同期:上期,上年度,2022年,2022年全年,2022年金额','前年同期:2021年,2021年全年,2021年金额','同比变动:同比增减,同比上升,同比下降,变化幅度,变动比例,本期比上年同期增减,本年比上年增减','报告期末:本报告期末,期末,期末数,期末金额,2023年年末,2023年12月31日','年初至报告期末:上年年末,上年末,2022年年末,2022年12月31日','报告期初:期初,期初数,期初金额,2023年1月1日','当期第一季度:第一季度,1-3月,第一季度（1-3月）,2023年第一季度','当期第二季度:第二季度,4-6月,第二季度（4-6月）,2023年第二季度','当期第三季度:第三季度,7-9月,第三季度（7-9月）,2023年第三季度','当期第四季度:第四季度,10-12月,第四季度（10-12月）,2023年第四季度']
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year = 2023
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conn = mysql.connector.connect(
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host = MYSQL_HOST,
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user = MYSQL_USER,
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password = MYSQL_PASSWORD,
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database = MYSQL_DB
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)
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# 创建一个cursor对象来执行SQL语句
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cursor = conn.cursor()
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# insert_query = '''
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# INSERT INTO measure_create_config
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# (config_id, meta_measure, same_mean_measure, measure_period, change_type, black_list)
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# VALUES (%s, %s, %s, %s, %s, %s)
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# '''
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# for data in data_list:
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# show_measure = str(data['指标'])
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# same_mean_measure = str(data['同义表述'])
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# period_measure = str(data['周期'])
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# change_measure = str(data['变动'])
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# black_list = str(data['黑名单词'])
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# config_id = utils.get_md5(show_measure)
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# insert_query_data = (config_id, show_measure, same_mean_measure, period_measure, change_measure, black_list)
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# cursor.execute(insert_query, insert_query_data)
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# conn.commit()
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# 读取 Excel 文件
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# df_period = pd.read_excel('/Users/zhengfei/Desktop/period.xlsx', header=0)
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# # 将 DataFrame 转换为字典列表
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# period_list = df_period.to_dict(orient='records')
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# period_insert_query = '''
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# INSERT INTO measure_create_period
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# (period_name, same_mean_period)
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# VALUES (%s, %s)
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# '''
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# for data in period_list:
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# period_name = str(data['标准表述'])
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# same_mean_period = str(data['同义表述'])
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# insert_query_data = (period_name, same_mean_period)
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# cursor.execute(period_insert_query, insert_query_data)
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# conn.commit()
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data_query = '''
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SELECT * FROM measure_create_config where delete_status = 0
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'''
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period_query = '''
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SELECT * FROM measure_create_period
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'''
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cursor.execute(data_query)
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data_list = cursor.fetchall()
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cursor.execute(period_query)
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period_list = cursor.fetchall()
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for data in data_list:
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config_id = data[0]
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show_measure = data[1]
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same_mean_measure = data[2]
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period_measure = data[3]
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change_measure = data[4]
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same_mean_measure_arr = []
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period_measure_arr = []
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change_measure_arr = []
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if same_mean_measure != 'nan' :
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same_mean_measure_arr = same_mean_measure.split(',')
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if period_measure != 'nan' :
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period_measure_arr = period_measure.split(',')
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if change_measure != 'nan' :
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change_measure_arr = change_measure.split(',')
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for c in change_measure_arr:
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period_measure_arr.append(c)
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for x in period_measure_arr:
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if x in change_measure_arr:
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show_name = show_measure+x
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else:
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show_name = x+show_measure
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for y in same_mean_measure_arr:
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if x in change_measure:
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parser_name = y+x
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else:
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parser_name = x+y
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print(f'{show_name},{parser_name}')
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for p in period_list:
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period_exra_name = p[0]
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period_exra_value = p[1]
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if x.find(period_exra_name) != -1:
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for v in period_exra_value.split(','):
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if x in change_measure:
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parser_name = y + x.replace(period_exra_name, v)
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else:
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parser_name = x.replace(period_exra_name, v) + y
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print(f'{show_name},{parser_name}')
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cursor.close()
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conn.close()
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