241 lines
8.1 KiB
Python
241 lines
8.1 KiB
Python
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import pandas as pd
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import requests
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import json
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import logging
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import time
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from datetime import datetime
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from sqlalchemy import create_engine
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from urllib.parse import quote_plus
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# 配置日志
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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# 数据库连接配置
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DB_CONFIG = {
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'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
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'port': 3306,
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'user': 'international_tsp_eu_r',
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'password': 'ZXhBgo1TB2XbF3kP',
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'database': 'chery_international_tsp_eu'
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}
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# 飞书多维表格配置
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FEISHU_APP_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh" # 应用Token
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FEISHU_TABLE_ID = "tbloPJHLc05MHIAY" # 表格ID
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VIN_FIELD_NAME = "车架号" # VIN字段名称
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ACTIVE_FIELD_NAME = "激活状态" # 激活状态字段名称
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def get_access_token():
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"""获取飞书访问令牌"""
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api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
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api_post_data = {"app_id": "cli_a8b50ec0eed1500d", "app_secret": "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"}
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try:
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response = requests.post(api_token_url, json=api_post_data, timeout=10)
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response.raise_for_status()
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resp_data = response.json()
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if resp_data.get("code") == 0:
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return resp_data["tenant_access_token"]
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else:
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raise Exception(f"获取Token失败: {resp_data.get('msg')}")
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except Exception as e:
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logging.error(f"获取飞书Token异常: {str(e)}")
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raise
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def read_feishu_records(app_token, table_id, retry=3):
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"""从飞书多维表格读取车辆记录"""
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access_token = get_access_token()
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headers = {
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"Authorization": f"Bearer {access_token}",
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"Content-Type": "application/json; charset=utf-8",
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}
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url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records"
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params = {"page_size": 500} # 单次请求最大记录数
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all_records = []
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page_token = None
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while True:
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if page_token:
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params["page_token"] = page_token
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records_fetched = False
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for attempt in range(retry):
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try:
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response = requests.get(url, headers=headers, params=params, timeout=30)
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response.raise_for_status()
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resp_data = response.json()
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if resp_data.get("code") != 0:
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raise Exception(f"API错误: {resp_data.get('msg')}")
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records = resp_data["data"]["items"]
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all_records.extend(records)
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# 检查是否有下一页
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if "page_token" in resp_data["data"] and resp_data["data"]["has_more"]:
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page_token = resp_data["data"]["page_token"]
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else:
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page_token = None
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records_fetched = True
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break
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except Exception as e:
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logging.warning(f"读取多维表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
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if attempt < retry - 1:
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time.sleep(2 ** attempt)
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if not records_fetched:
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raise Exception("无法读取多维表格数据")
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if not page_token:
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break
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return all_records
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def fetch_activation_data():
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"""从数据库查询车辆激活状态"""
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try:
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# 创建SQLAlchemy引擎
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safe_password = quote_plus(DB_CONFIG['password'])
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engine = create_engine(
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f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
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pool_recycle=3600
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)
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sql_query = """
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SELECT
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v_vehicle_info.VIN AS car_vins,
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CASE v_sim_info.STATE
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WHEN 2 THEN 'active'
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ELSE 'no_active'
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END AS active_status
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FROM v_vehicle_info
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JOIN v_tbox_info USING (VIN)
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JOIN v_sim_info USING (SN);
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"""
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# 执行查询并转换为DataFrame
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df = pd.read_sql(sql_query, engine)
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return df.set_index('car_vins')['active_status'].to_dict()
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except Exception as e:
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logging.error(f"数据库查询失败: {str(e)}")
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raise
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def compare_and_update_records(app_token, table_id, activation_data):
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"""比较并更新飞书多维表格记录"""
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access_token = get_access_token()
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headers = {
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"Authorization": f"Bearer {access_token}",
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"Content-Type": "application/json; charset=utf-8",
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}
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# 1. 读取多维表格所有记录
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feishu_records = read_feishu_records(app_token, table_id)
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logging.info(f"成功读取{len(feishu_records)}条多维表格记录")
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# 2. 准备需要更新的记录
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records_to_update = []
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for record in feishu_records:
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try:
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record_id = record["record_id"]
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fields = record.get("fields", {})
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# 获取车架号(VIN)
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vin = fields.get(VIN_FIELD_NAME)
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if not vin:
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logging.warning(f"记录 {record_id} 缺少VIN字段")
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continue
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# 获取多维表格中的激活状态
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current_status = fields.get(ACTIVE_FIELD_NAME, "").lower()
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# 获取数据库中的激活状态
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db_status = activation_data.get(vin)
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if not db_status:
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logging.warning(f"VIN {vin} 在数据库中未找到")
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continue
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# 比较状态是否需要更新
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if db_status != current_status:
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records_to_update.append({
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"record_id": record_id,
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"fields": {
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ACTIVE_FIELD_NAME: db_status
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}
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})
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logging.info(f"VIN {vin} 状态需更新: {current_status} → {db_status}")
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except Exception as e:
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logging.error(f"处理记录异常: {record} - {str(e)}")
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logging.info(f"需要更新{len(records_to_update)}条记录")
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# 3. 批量更新记录 (每批次50条)
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if not records_to_update:
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logging.info("没有需要更新的记录")
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return
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batch_size = 50
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success_count = 0
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for i in range(0, len(records_to_update), batch_size):
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batch = records_to_update[i:i + batch_size]
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batch_payload = {"records": batch}
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update_url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records/batch_update"
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for attempt in range(3): # 最多重试3次
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try:
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response = requests.post(update_url, headers=headers, json=batch_payload, timeout=30)
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resp_data = response.json()
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if response.status_code == 200 and resp_data.get("code") == 0:
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success_count += len(batch)
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logging.info(f"成功更新批次 {i // batch_size + 1}: {len(batch)}条记录")
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break
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else:
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error_msg = resp_data.get('msg', '未知错误')
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logging.warning(f"更新失败(尝试 {attempt + 1}/3): {error_msg}")
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time.sleep(2 ** attempt)
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except Exception as e:
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logging.warning(f"网络错误(尝试 {attempt + 1}/3): {str(e)}")
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time.sleep(2 ** attempt)
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logging.info(f"总计更新成功{success_count}条记录")
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return success_count
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def main():
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try:
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start_time = time.time()
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logging.info("开始车辆激活状态同步流程...")
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# 1. 从数据库获取激活状态数据
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activation_data = fetch_activation_data()
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logging.info(f"从数据库获取{len(activation_data)}条激活状态记录")
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# 2. 与飞书多维表格数据比对并更新
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update_count = compare_and_update_records(FEISHU_APP_TOKEN, FEISHU_TABLE_ID, activation_data)
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# 3. 完成日志
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elapsed_time = time.time() - start_time
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logging.info(f"流程完成! 耗时: {elapsed_time:.2f}秒, 更新记录数: {update_count}")
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except Exception as e:
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logging.error(f"流程执行异常: {str(e)}")
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logging.exception("详细错误信息")
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if __name__ == '__main__':
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main()
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