247 lines
10 KiB
Python
247 lines
10 KiB
Python
import pandas as pd
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import mysql.connector
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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 re
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import redis
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def process_excel_and_db(input_excel_path1, input_excel_path2, output_file_path):
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# 读取第一个 Excel 文件
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df = pd.read_excel(input_excel_path1, sheet_name='Sheet2', header=0)#对应ttt表
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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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# 连接到 MySQL 数据库
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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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cursor = conn.cursor()
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# 插入数据到 measure_create_config 表
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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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# 读取第二个 Excel 文件
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df_period = pd.read_excel(input_excel_path2, sheet_name='Sheet2', header=0)#对应周期表
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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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# 插入数据到 measure_create_period 表
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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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# 查询数据库
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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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# 输出到文件
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with open(output_file_path, 'w', encoding='utf-8') as file:
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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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same_mean_measure_arr.append(show_measure)
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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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file.write(f'{show_name},{parser_name}\n')
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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 period_exra_name in x:
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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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file.write(f'{show_name},{parser_name}\n')
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cursor.close()
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conn.close()
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# 根据老指标配置表生成新指标配置表
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def create_new_config(conn, cursor, table_name,old_year,new_year):
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select_query = f'''
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SELECT measure_id, measure_name,ori_measure_id,ori_measure_name,delete_status,measure_vector,distance,year
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FROM {table_name}
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WHERE year = '{old_year}'
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'''
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cursor.execute(select_query)
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data_list = cursor.fetchall()
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insert_query = f'''
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INSERT INTO {table_name}
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(measure_id, measure_name,ori_measure_id,ori_measure_name,delete_status,measure_vector,distance, year)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
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'''
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for data in data_list:
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ori_measure_name = data[3]
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if re.match(r'^\d{4}',ori_measure_name):
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year = int(re.match(r'^\d{4}',ori_measure_name).group(0))
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year += 1
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ori_measure_name = str(year) + ori_measure_name[4:]
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insert_data = (data[0],data[1],data[2],ori_measure_name,data[4],data[5],data[6],new_year)
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cursor.execute(insert_query, insert_data)
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conn.commit()
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def measure_config_to_db(conn, cursor, table_name):
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year_list = ["2021","2022","2023","2024","2025"]
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for year in year_list:
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insert_query = f'''
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INSERT INTO {table_name}
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(measure_id, measure_name, ori_measure_id, ori_measure_name,delete_status,distance,year)
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VALUES (%s, %s, %s, %s,%s,%s,%s)
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'''
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check_query = f'''
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SELECT ori_measure_id FROM {table_name}
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WHERE year = '{year}'
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'''
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# 新增指标
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lines = [
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f"当期营业收入,{year}年第一季度营业收入",
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f"当期归母净利润,{year}年第一季度归母净利润",
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f"当期扣非净利润,{year}年第一季度扣非净利润",
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f"当期经营活动现金流净额,{year}年第一季度经营活动现金流净额",
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f"当期筹资活动现金流净额,{year}年第一季度筹资活动现金流净额",
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f"当期投资活动现金流净额,{year}年第一季度投资活动现金流净额",
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f"当期非经常性损益,{year}年第一季度非经常性损益",
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f"当期基本每股收益,{year}年第一季度基本每股收益",
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f"当期稀释每股收益,{year}年第一季度稀释每股收益",
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f"当期加权平均净资产收益率,{year}年第一季度加权平均净资产收益率",
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f"当期扣非加权平均净资产收益率,{year}年第一季度扣非加权平均净资产收益率",
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f"当期营业成本 ,{year}年第一季度营业成本",
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f"当期销售费用,{year}年第一季度销售费用",
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f"当期管理费用,{year}年第一季度管理费用",
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f"当期财务费用,{year}年第一季度财务费用",
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f"当期研发费用,{year}年第一季度研发费用"]
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# 打印每一行
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for line in lines:
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config_list = line.strip().split(',')
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measure = config_list[0]
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ori_measure = config_list[1]
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ori_measure_id = utils.get_md5(ori_measure)
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# 判断数据库中是否有数据
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cursor.execute(check_query)
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check_records = cursor.fetchall()
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if any(record[0] == ori_measure_id for record in check_records):
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continue
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data_to_insert = (utils.get_md5(measure), measure, ori_measure_id, ori_measure,0,0.94,year)
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cursor.execute(insert_query, data_to_insert)
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conn.commit()
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def insert_measure_vector(conn,cursor,table_name):
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from config import REDIS_HOST,REDIS_PASSWORD,REDIS_PORT
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redis_client = redis.Redis(host=REDIS_HOST, port=REDIS_PORT, password=REDIS_PASSWORD, db=6)# 192.168.0.172 #测试123.60.153.169
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# 执行SQL语句，更新数据
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select_query = f'''
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SELECT ori_measure_id,ori_measure_name FROM {table_name}
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'''
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cursor.execute(select_query)
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records = cursor.fetchall()
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print(f"总计{len(records)}条数据")
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for record in records:
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if redis_client.hexists('measure_config', record[0]):
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measure_vector = redis_client.hget('measure_config', record[0])
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else:
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print('新增指标',record[1])
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vector_obj = utils.embed_with_str(record[1])
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measure_vector = str(vector_obj.output["embeddings"][0]["embedding"])
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redis_client.hset('measure_config', record[0], measure_vector)
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redis_client.close()
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conn.close()
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#from config import MYSQL_HOST, MYSQL_USER, MYSQL_PASSWORD, MYSQL_DB
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if __name__ == "__main__":
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#需要先清空本地数据库的 measure_create_config 和 measure_create_period 表
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# process_excel_and_db(
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# 'F:\\11_pdf\\ttt_1.xlsx',#ttt文件
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# 'F:\\11_pdf\\period_1.xlsx',#period文件
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# 'F:\\11_pdf\\out_2022_new_year.txt'#输出文件
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# )
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from config import MYSQL_HOST_APP, MYSQL_USER_APP, MYSQL_PASSWORD_APP, MYSQL_DB_APP
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conn = mysql.connector.connect(
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host=MYSQL_HOST_APP,
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user=MYSQL_USER_APP,
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password=MYSQL_PASSWORD_APP,
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database=MYSQL_DB_APP
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)
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cursor = conn.cursor()
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#file_path = r'F:\\11_pdf\\out_2022_new_year.txt'
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# 更新第一季度的measure_vector
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table_name = 'measure_config'
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# 写入mysql
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# measure_config_to_db(conn, cursor, table_name)
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create_new_config(conn, cursor, table_name,'2023','2024')
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# 插入redies
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insert_measure_vector(conn,cursor,table_name)
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