欧洲分国家车辆激活数查询脚本

aa

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+config:
+  printCql: true
+  httpTimeout: 10000
+server:
+  port: 80
+  servlet:
+    context-path: /scls
+
+spring:
+  main:
+    allow-circular-references: true
+  application:
+    name: tsp-statistics-control-log-service
+  jackson:
+    default-property-inclusion: non_null
+  mvc:
+    throw-exception-if-no-handler-found: true
+    pathmatch:
+      matching-strategy: ant_path_matcher
+  datasource:
+    url: jdbc:mysql://eutsp-uat.mysql.germany.rds.aliyuncs.com:3306/CHERY_INTERNATIONAL_TSP_EU?useUnicode=true&characterEncoding=utf-8&rewriteBatchedStatements=true&allowMultiQueries=true
+    username: international_tsp_eu
+    password: p%geZgf$$n26Qpcn
+    driver-class-name: com.mysql.cj.jdbc.Driver
+    hikari:
+      minimum-idle: 5
+      idle-timeout: 180000
+      maximum-pool-size: 10
+      auto-commit: true
+      connection-timeout: 30000
+      connection-test-query: select 1
+  kafka:
+   bootstrap-servers: 10.95.3.204:9092,10.95.3.205:9092,10.95.3.206:9092
+   producer:
+     bootstrap-servers: 10.95.3.204:9092,10.95.3.205:9092,10.95.3.206:9092
+      # 以下序列方式请根据项目实际情况进行配置，如果和下面相同则项目中可以不用配置
+     key-serializer: org.apache.kafka.common.serialization.StringSerializer
+     value-serializer: org.apache.kafka.common.serialization.ByteArraySerializer
+      #发送失败，重试次数
+     retries: 3
+      # acks=0 ： 生产者在成功写入消息之前不会等待任何来自服务器的响应。
+      # acks=1 ： 只要集群的首领节点收到消息，生产者就会收到一个来自服务器成功响应。
+      # acks=all ：只有当所有参与复制的节点全部收到消息时，生产者才会收到一个来自服务器的成功响应。
+     acks: 1
+     properties:
+       linger:
+         ms: 1
+     batch-size: 16384
+     buffer-memory: 33554432
+   consumer:
+     bootstrap-servers: 10.95.3.204:9092,10.95.3.205:9092,10.95.3.206:9092
+     auto-offset-reset: earliest
+     group-id: ${spring.application.name}
+     enable-auto-commit: true
+     auto-commit-interval: 1000
+      # 以下序列方式请根据项目实际情况进行配置，如果和下面相同则项目中可以不用配置
+     key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
+     value-deserializer: org.apache.kafka.common.serialization.ByteArrayDeserializer
+   listener:
+     ack-mode:
+
+  cache:
+    type: redis
+  data:
+    cassandra:
+      keyspace-name: tsp_eu
+      contact-points:
+        - 10.95.3.201
+        - 10.95.3.202
+        - 10.95.3.203
+      port: 9042
+      username: tsp_eu_rw
+      password: awXKeq6cJIytuS4y
+      session-name: Test Cluster
+      local-datacenter: dc1 #默认的数据中心
+      request:
+        timeout: 30s
+
+
+mybatis-plus:
+  global-config:
+    sql-parser-cache: true
+
+logging:
+  level:
+    root: INFO
+
+remote-control-log-kafka-topic: tsp-remote-control-flow-data-eu
+
+threadPool:
+  main:
+    corePoolSize: 10
+    maximumPoolSize: 20
+    queueCapacity: 50
+    rejectedPolicy: 1

hang/0630.py

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+import requests
+import logging
+import time
+from datetime import datetime, timedelta, date
+
+# ====================== 配置区域 ======================
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 日统计表格配置
+DAILY_SPREADSHEET_ID = "MIqssvuB3h3XmgtkI26cBX7Angc"  # 日统计电子表格ID
+DAILY_SHEET_ID = "46ea20"  # 日统计工作表ID
+DAILY_URL = "https://my-ichery.feishu.cn/sheets/MIqssvuB3h3XmgtkI26cBX7Angc?sheet=46ea20"  # 日统计表格链接
+
+# 周统计表格配置
+WEEKLY_BASE_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 周统计多维表格ID
+WEEKLY_TABLE_ID = "tbloB11YuVOSdi9e"  # 周统计表ID
+WEEKLY_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?table=tbloB11YuVOSdi9e"  # 周统计表格链接
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/b9c810bd-a9b6-4b5a-8ff9-943b93cadaee"
+
+# ====================== 日志配置 ======================
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
+
+
+def get_access_token():
+    """获取飞书访问令牌[1,3](@ref)"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def read_daily_data(retry=3):
+    """从飞书电子表格读取日统计数据[1,3](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{DAILY_SPREADSHEET_ID}/values/{DAILY_SHEET_ID}"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.get(url, headers=headers, timeout=30)
+            response.raise_for_status()
+            resp_data = response.json()
+
+            if resp_data.get("code") != 0:
+                raise Exception(f"API错误: {resp_data.get('msg')}")
+
+            # 解析数据：跳过标题行，只取日期和激活数量
+            values = resp_data['data']['valueRange']['values'][1:]
+            daily_data = []
+            for row in values:
+                try:
+                    date_str = row[0]
+                    count = int(row[1])
+                    date_obj = datetime.strptime(date_str, "%Y-%m-%d").date()
+                    daily_data.append({"date": date_obj, "count": count})
+                except (IndexError, ValueError) as e:
+                    logging.warning(f"数据格式错误: {row} - {str(e)}")
+            return daily_data
+        except Exception as e:
+            logging.warning(f"读取飞书表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2 ** attempt)  # 指数退避重试
+    raise Exception(f"读取飞书表格失败，重试{retry}次后仍不成功")
+
+
+def clear_weekly_table(retry=3):
+    """清空周统计表（覆盖写入前的准备）[3,5](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 获取所有记录ID
+    record_ids = []
+    page_token = ""
+
+    while True:
+        params = {"page_size": 100}
+        if page_token:
+            params["page_token"] = page_token
+
+        response = requests.get(url, headers=headers, params=params, timeout=30)
+        resp_data = response.json()
+
+        if resp_data.get("code") != 0:
+            raise Exception(f"获取记录失败: {resp_data.get('msg')}")
+
+        # 收集所有记录的ID
+        for record in resp_data.get("data", {}).get("items", []):
+            record_ids.append(record["record_id"])
+
+        # 检查是否有更多数据
+        if resp_data["data"].get("has_more"):
+            page_token = resp_data["data"].get("page_token", "")
+        else:
+            break
+
+    if not record_ids:
+        logging.info("周统计表为空，无需清除")
+        return True
+
+    logging.info(f"获取到{len(record_ids)}条记录待删除")
+
+    # 批量删除所有记录
+    delete_url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records/batch_delete"
+
+    # 分批删除（每次最多100条）[3](@ref)
+    batch_size = 100
+    for i in range(0, len(record_ids), batch_size):
+        batch_ids = record_ids[i:i + batch_size]
+        payload = {"records": batch_ids}
+
+        for attempt in range(retry):
+            try:
+                response = requests.post(delete_url, json=payload, headers=headers, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    logging.info(f"成功删除批次 {i // batch_size + 1}: {len(batch_ids)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    logging.warning(f"删除记录失败(尝试 {attempt + 1}/{retry}): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"删除记录网络错误(尝试 {attempt + 1}/{retry}): {str(e)}")
+                time.sleep(2 ** attempt)
+
+    return True
+
+
+def write_weekly_data(records, retry=3):
+    """覆盖写入数据到飞书多维表格（周统计）[3,5](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records/batch_create"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 构建API请求体
+    payload = {"records": []}
+    for row in records:
+        try:
+            # 使用毫秒时间戳格式（飞书官方要求）[3](@ref)
+            start_dt = datetime.combine(row['week_start'], datetime.min.time())
+            end_dt = datetime.combine(row['week_end'], datetime.min.time())
+
+            start_timestamp = int(start_dt.timestamp() * 1000)
+            end_timestamp = int(end_dt.timestamp() * 1000)
+
+            payload["records"].append({
+                "fields": {
+                    "周数": str(row['week_number']),
+                    "周开始日期": start_timestamp,
+                    "周结束日期": end_timestamp,
+                    "激活数量": int(row['active_count'])
+                }
+            })
+        except Exception as e:
+            logging.error(f"记录格式错误: {row} - {str(e)}")
+
+    # 处理空记录情况
+    if not payload["records"]:
+        logging.warning("没有有效记录可写入多维表格")
+        return 0
+
+    # 分批写入（每次最多100条）[3](@ref)
+    batch_size = 100
+    success_count = 0
+    for i in range(0, len(payload["records"]), batch_size):
+        batch = payload["records"][i:i + batch_size]
+        batch_payload = {"records": batch}
+        batch_success = False
+
+        for attempt in range(retry):
+            try:
+                response = requests.post(url, json=batch_payload, headers=headers, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    if not batch_success:
+                        success_count += len(batch)
+                        batch_success = True
+                        logging.info(f"成功写入批次 {i // batch_size + 1}: {len(batch)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    error_code = resp_data.get("code", "")
+
+                    # 错误诊断[3](@ref)
+                    if error_code == "DatetimeFieldConvFail":
+                        logging.error("日期字段转换失败: 请检查多维表格中日期字段类型配置")
+                    elif error_code == "TextFieldConvFail":
+                        logging.error("文本字段转换失败: 请检查数字字段是否包含非数字字符")
+
+                    logging.warning(f"飞书API错误(尝试 {attempt + 1}/{retry}): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"网络错误(尝试 {attempt + 1}/{retry}): {str(e)}")
+                time.sleep(2 ** attempt)
+
+        if not batch_success:
+            logging.error(f"批次 {i // batch_size + 1} 写入失败")
+
+    return success_count
+
+
+def calculate_iso_week(date):
+    """计算ISO周数（处理跨年）"""
+    iso_year, iso_week, iso_day = date.isocalendar()
+    return f"{iso_year}-W{iso_week:02d}"
+
+
+def calculate_week_range(date):
+    """计算所在周的周一和周日日期（ISO标准）"""
+    start_date = date - timedelta(days=date.weekday())
+    end_date = start_date + timedelta(days=6)
+    return start_date, end_date
+
+
+def send_feishu_message(message, retry=2):
+    """发送飞书通知[6,7,8](@ref)"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看日统计", "tag": "plain_text"},
+                            "type": "default",
+                            "url": DAILY_URL
+                        },
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看周统计", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": WEEKLY_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "数据同步完成通知", "tag": "plain_text"},
+                "template": "green"
+            }
+        }
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            logging.warning(f"飞书消息发送失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2)  # 等待后重试
+    raise Exception(f"飞书消息发送失败，重试{retry}次后仍不成功")
+
+
+if __name__ == '__main__':
+    try:
+        logging.info("开始周统计计算流程...")
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+        # 1. 从飞书日统计表读取数据
+        daily_data = read_daily_data()
+        logging.info(f"成功读取{len(daily_data)}条日统计记录")
+
+        # 2. 计算周统计数据（处理跨年）
+        weekly_stats = {}
+        for entry in daily_data:
+            date = entry['date']
+            count = entry['count']
+            week_number = calculate_iso_week(date)
+            week_start, week_end = calculate_week_range(date)
+
+            if week_number not in weekly_stats:
+                weekly_stats[week_number] = {
+                    'week_number': week_number,
+                    'week_start': week_start,
+                    'week_end': week_end,
+                    'active_count': 0
+                }
+            weekly_stats[week_number]['active_count'] += count
+
+        # 转换为列表并排序
+        weekly_list = sorted(weekly_stats.values(), key=lambda x: x['week_start'])
+        logging.info(f"生成{len(weekly_list)}条周统计记录")
+
+        # 3. 覆盖写入周统计表
+        # 先清空表
+        if not clear_weekly_table():
+            raise Exception("清空周统计表失败")
+        logging.info("成功清空周统计表")
+
+        # 再写入新数据
+        success_count = write_weekly_data(weekly_list)
+        if success_count != len(weekly_list):
+            raise Exception(f"周统计写入失败: 成功写入{success_count}条，总记录{len(weekly_list)}条")
+        logging.info(f"成功覆盖写入{success_count}条周统计记录")
+
+        # 4. 构建通知消息
+        today = datetime.now().date()
+        current_week_number = calculate_iso_week(today)
+
+        stats_summary = f"• 本周({current_week_number})激活车辆: {weekly_stats.get(current_week_number, {}).get('active_count', 0)}\n"
+        stats_summary += f"• 累计激活车辆: {sum(week['active_count'] for week in weekly_list)}\n"
+
+        if weekly_list:
+            latest_week = weekly_list[-1]
+            stats_summary += f"• 最新一周({latest_week['week_number']}): {latest_week['week_start'].strftime('%Y-%m-%d')}至{latest_week['week_end'].strftime('%Y-%m-%d')}, 激活{latest_week['active_count']}辆"
+
+        message = f"📅 周统计计算完成 ✅\n"
+        message += f"⏰ 时间: {current_time}\n"
+        message += f"📊 统计摘要:\n{stats_summary}\n"
+        message += f"📝 处理结果: 成功处理{len(daily_data)}条日记录 → 生成{len(weekly_list)}条周记录"
+        # 5. 构建通知消息
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+        # 新增统计维度计算
+        today = datetime.now().date()
+        yesterday = today - timedelta(days=1)
+        current_week_start = today - timedelta(days=today.weekday())
+        current_week_end = current_week_start + timedelta(days=6)
+        last_week_start = current_week_start - timedelta(days=7)
+        last_week_end = last_week_start + timedelta(days=6)
+        three_months_ago = today - timedelta(days=90)
+
+        # 计算昨日数据
+        yesterday_count = next((d['count'] for d in daily_data if d['date'] == yesterday), 0)
+
+        # 计算今日数据
+        today_count = next((d['count'] for d in daily_data if d['date'] == today), 0)
+
+        # 计算本周数据（当前周）
+        current_week_number = calculate_iso_week(today)
+        current_week_total = weekly_stats.get(current_week_number, {}).get('active_count', 0)
+
+        # 计算上周数据
+        last_week_number = calculate_iso_week(last_week_start)
+        last_week_total = weekly_stats.get(last_week_number, {}).get('active_count', 0)
+
+        # 计算最近三个月数据
+        recent_three_months = sum(
+            d['count'] for d in daily_data
+            if three_months_ago <= d['date'] <= today
+        )
+
+        # 计算累计数据
+        total_count = sum(d['count'] for d in daily_data)
+
+        # 构建统计摘要
+        stats_summary = f"• 今日激活: {today_count}\n"
+        stats_summary += f"• 昨日激活: {yesterday_count}\n"
+        stats_summary += f"• 本周激活: {current_week_total}\n"
+        stats_summary += f"• 上周激活: {last_week_total}\n"
+        stats_summary += f"• 近三月激活: {recent_three_months}\n"
+        stats_summary += f"• 累计激活: {total_count}\n"
+
+        # # 添加最新周统计摘要
+        # if weekly_list:
+        #     latest_week = weekly_list[-1]
+        #     stats_summary += f"• 最新一周({latest_week['week_number']}): {latest_week['active_count']}辆"
+
+        message = f"📅欧盟O&J统计计算完成 ✅\n"
+        message += f"⏰ 时间: {current_time}\n"
+        message += f"📊 统计摘要:\n{stats_summary}\n"
+        message += f"📝 处理结果: 成功处理{len(daily_data)}条日记录 → 生成{len(weekly_list)}条周记录"
+        # 5. 发送通知
+        result = send_feishu_message(message)
+        logging.info(f"飞书消息发送成功: {result}")
+
+    except Exception as e:
+        error_message = f"❌ 周统计计算异常: {str(e)}"
+        logging.exception("程序执行异常")
+        send_feishu_message(error_message)

hang/Rewrite/active_number_daily.py

@@ -0,0 +1,411 @@
+import requests
+import logging
+import time
+from datetime import datetime, timedelta, date
+
+# ====================== 配置区域 ======================
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 日统计表格配置
+DAILY_SPREADSHEET_ID = "MIqssvuB3h3XmgtkI26cBX7Angc"  # 日统计电子表格ID
+DAILY_SHEET_ID = "46ea20"  # 日统计工作表ID
+DAILY_URL = "https://my-ichery.feishu.cn/sheets/MIqssvuB3h3XmgtkI26cBX7Angc?sheet=46ea20"  # 日统计表格链接
+
+# 周统计表格配置
+WEEKLY_BASE_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 周统计多维表格ID
+WEEKLY_TABLE_ID = "tbloB11YuVOSdi9e"  # 周统计表ID
+WEEKLY_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?table=tbloB11YuVOSdi9e"  # 周统计表格链接
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+
+# ====================== 日志配置 ======================
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
+
+
+def get_access_token():
+    """获取飞书访问令牌[1,3](@ref)"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def read_daily_data(retry=3):
+    """从飞书电子表格读取日统计数据[1,3](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{DAILY_SPREADSHEET_ID}/values/{DAILY_SHEET_ID}"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.get(url, headers=headers, timeout=30)
+            response.raise_for_status()
+            resp_data = response.json()
+
+            if resp_data.get("code") != 0:
+                raise Exception(f"API错误: {resp_data.get('msg')}")
+
+            # 解析数据：跳过标题行，只取日期和激活数量
+            values = resp_data['data']['valueRange']['values'][1:]
+            daily_data = []
+            for row in values:
+                try:
+                    date_str = row[0]
+                    count = int(row[1])
+                    date_obj = datetime.strptime(date_str, "%Y-%m-%d").date()
+                    daily_data.append({"date": date_obj, "count": count})
+                except (IndexError, ValueError) as e:
+                    logging.warning(f"数据格式错误: {row} - {str(e)}")
+            return daily_data
+        except Exception as e:
+            logging.warning(f"读取飞书表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2 ** attempt)  # 指数退避重试
+    raise Exception(f"读取飞书表格失败，重试{retry}次后仍不成功")
+
+
+def clear_weekly_table(retry=3):
+    """清空周统计表（覆盖写入前的准备）[3,5](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 获取所有记录ID
+    record_ids = []
+    page_token = ""
+
+    while True:
+        params = {"page_size": 100}
+        if page_token:
+            params["page_token"] = page_token
+
+        response = requests.get(url, headers=headers, params=params, timeout=30)
+        resp_data = response.json()
+
+        if resp_data.get("code") != 0:
+            raise Exception(f"获取记录失败: {resp_data.get('msg')}")
+
+        # 收集所有记录的ID
+        for record in resp_data.get("data", {}).get("items", []):
+            record_ids.append(record["record_id"])
+
+        # 检查是否有更多数据
+        if resp_data["data"].get("has_more"):
+            page_token = resp_data["data"].get("page_token", "")
+        else:
+            break
+
+    if not record_ids:
+        logging.info("周统计表为空，无需清除")
+        return True
+
+    logging.info(f"获取到{len(record_ids)}条记录待删除")
+
+    # 批量删除所有记录
+    delete_url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records/batch_delete"
+
+    # 分批删除（每次最多100条）[3](@ref)
+    batch_size = 100
+    for i in range(0, len(record_ids), batch_size):
+        batch_ids = record_ids[i:i + batch_size]
+        payload = {"records": batch_ids}
+
+        for attempt in range(retry):
+            try:
+                response = requests.post(delete_url, json=payload, headers=headers, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    logging.info(f"成功删除批次 {i // batch_size + 1}: {len(batch_ids)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    logging.warning(f"删除记录失败(尝试 {attempt + 1}/{retry}): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"删除记录网络错误(尝试 {attempt + 1}/{retry}): {str(e)}")
+                time.sleep(2 ** attempt)
+
+    return True
+
+
+def write_weekly_data(records, retry=3):
+    """覆盖写入数据到飞书多维表格（周统计）[3,5](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records/batch_create"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 构建API请求体
+    payload = {"records": []}
+    for row in records:
+        try:
+            # 使用毫秒时间戳格式（飞书官方要求）[3](@ref)
+            start_dt = datetime.combine(row['week_start'], datetime.min.time())
+            end_dt = datetime.combine(row['week_end'], datetime.min.time())
+
+            start_timestamp = int(start_dt.timestamp() * 1000)
+            end_timestamp = int(end_dt.timestamp() * 1000)
+
+            payload["records"].append({
+                "fields": {
+                    "周数": str(row['week_number']),
+                    "周开始日期": start_timestamp,
+                    "周结束日期": end_timestamp,
+                    "激活数量": int(row['active_count'])
+                }
+            })
+        except Exception as e:
+            logging.error(f"记录格式错误: {row} - {str(e)}")
+
+    # 处理空记录情况
+    if not payload["records"]:
+        logging.warning("没有有效记录可写入多维表格")
+        return 0
+
+    # 分批写入（每次最多100条）[3](@ref)
+    batch_size = 100
+    success_count = 0
+    for i in range(0, len(payload["records"]), batch_size):
+        batch = payload["records"][i:i + batch_size]
+        batch_payload = {"records": batch}
+        batch_success = False
+
+        for attempt in range(retry):
+            try:
+                response = requests.post(url, json=batch_payload, headers=headers, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    if not batch_success:
+                        success_count += len(batch)
+                        batch_success = True
+                        logging.info(f"成功写入批次 {i // batch_size + 1}: {len(batch)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    error_code = resp_data.get("code", "")
+
+                    # 错误诊断[3](@ref)
+                    if error_code == "DatetimeFieldConvFail":
+                        logging.error("日期字段转换失败: 请检查多维表格中日期字段类型配置")
+                    elif error_code == "TextFieldConvFail":
+                        logging.error("文本字段转换失败: 请检查数字字段是否包含非数字字符")
+
+                    logging.warning(f"飞书API错误(尝试 {attempt + 1}/{retry}): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"网络错误(尝试 {attempt + 1}/{retry}): {str(e)}")
+                time.sleep(2 ** attempt)
+
+        if not batch_success:
+            logging.error(f"批次 {i // batch_size + 1} 写入失败")
+
+    return success_count
+
+
+def calculate_iso_week(date):
+    """计算ISO周数（处理跨年）"""
+    iso_year, iso_week, iso_day = date.isocalendar()
+    return f"{iso_year}-W{iso_week:02d}"
+
+
+def calculate_week_range(date):
+    """计算所在周的周一和周日日期（ISO标准）"""
+    start_date = date - timedelta(days=date.weekday())
+    end_date = start_date + timedelta(days=6)
+    return start_date, end_date
+
+
+def send_feishu_message(message, retry=2):
+    """发送飞书通知[6,7,8](@ref)"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看日统计", "tag": "plain_text"},
+                            "type": "default",
+                            "url": DAILY_URL
+                        },
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看周统计", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": WEEKLY_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "数据同步完成通知", "tag": "plain_text"},
+                "template": "green"
+            }
+        }
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            logging.warning(f"飞书消息发送失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2)  # 等待后重试
+    raise Exception(f"飞书消息发送失败，重试{retry}次后仍不成功")
+
+
+if __name__ == '__main__':
+    try:
+        logging.info("开始周统计计算流程...")
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+        # 1. 从飞书日统计表读取数据
+        daily_data = read_daily_data()
+        logging.info(f"成功读取{len(daily_data)}条日统计记录")
+
+        # 2. 计算周统计数据（处理跨年）
+        weekly_stats = {}
+        for entry in daily_data:
+            date = entry['date']
+            count = entry['count']
+            week_number = calculate_iso_week(date)
+            week_start, week_end = calculate_week_range(date)
+
+            if week_number not in weekly_stats:
+                weekly_stats[week_number] = {
+                    'week_number': week_number,
+                    'week_start': week_start,
+                    'week_end': week_end,
+                    'active_count': 0
+                }
+            weekly_stats[week_number]['active_count'] += count
+
+        # 转换为列表并排序
+        weekly_list = sorted(weekly_stats.values(), key=lambda x: x['week_start'])
+        logging.info(f"生成{len(weekly_list)}条周统计记录")
+
+        # 3. 覆盖写入周统计表
+        # 先清空表
+        if not clear_weekly_table():
+            raise Exception("清空周统计表失败")
+        logging.info("成功清空周统计表")
+
+        # 再写入新数据
+        success_count = write_weekly_data(weekly_list)
+        if success_count != len(weekly_list):
+            raise Exception(f"周统计写入失败: 成功写入{success_count}条，总记录{len(weekly_list)}条")
+        logging.info(f"成功覆盖写入{success_count}条周统计记录")
+
+        # 4. 构建通知消息
+        today = datetime.now().date()
+        current_week_number = calculate_iso_week(today)
+
+        stats_summary = f"• 本周({current_week_number})激活车辆: {weekly_stats.get(current_week_number, {}).get('active_count', 0)}\n"
+        stats_summary += f"• 累计激活车辆: {sum(week['active_count'] for week in weekly_list)}\n"
+
+        if weekly_list:
+            latest_week = weekly_list[-1]
+            stats_summary += f"• 最新一周({latest_week['week_number']}): {latest_week['week_start'].strftime('%Y-%m-%d')}至{latest_week['week_end'].strftime('%Y-%m-%d')}, 激活{latest_week['active_count']}辆"
+
+        message = f"📅 周统计计算完成 ✅\n"
+        message += f"⏰ 时间: {current_time}\n"
+        message += f"📊 统计摘要:\n{stats_summary}\n"
+        message += f"📝 处理结果: 成功处理{len(daily_data)}条日记录 → 生成{len(weekly_list)}条周记录"
+        # 5. 构建通知消息
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+        # 新增统计维度计算
+        today = datetime.now().date()
+        yesterday = today - timedelta(days=1)
+        current_week_start = today - timedelta(days=today.weekday())
+        current_week_end = current_week_start + timedelta(days=6)
+        last_week_start = current_week_start - timedelta(days=7)
+        last_week_end = last_week_start + timedelta(days=6)
+        three_months_ago = today - timedelta(days=90)
+
+        # 计算昨日数据
+        yesterday_count = next((d['count'] for d in daily_data if d['date'] == yesterday), 0)
+
+        # 计算今日数据
+        today_count = next((d['count'] for d in daily_data if d['date'] == today), 0)
+
+        # 计算本周数据（当前周）
+        current_week_number = calculate_iso_week(today)
+        current_week_total = weekly_stats.get(current_week_number, {}).get('active_count', 0)
+
+        # 计算上周数据
+        last_week_number = calculate_iso_week(last_week_start)
+        last_week_total = weekly_stats.get(last_week_number, {}).get('active_count', 0)
+
+        # 计算最近三个月数据
+        recent_three_months = sum(
+            d['count'] for d in daily_data
+            if three_months_ago <= d['date'] <= today
+        )
+
+        # 计算累计数据
+        total_count = sum(d['count'] for d in daily_data)
+
+        # 构建统计摘要
+        stats_summary = f"• 今日激活: {today_count}\n"
+        stats_summary += f"• 昨日激活: {yesterday_count}\n"
+        stats_summary += f"• 本周激活: {current_week_total}\n"
+        stats_summary += f"• 上周激活: {last_week_total}\n"
+        stats_summary += f"• 近三月激活: {recent_three_months}\n"
+        stats_summary += f"• 累计激活: {total_count}\n"
+
+        # # 添加最新周统计摘要
+        # if weekly_list:
+        #     latest_week = weekly_list[-1]
+        #     stats_summary += f"• 最新一周({latest_week['week_number']}): {latest_week['active_count']}辆"
+
+        message = f"📅欧盟O&J统计计算完成 ✅\n"
+        message += f"⏰ 时间: {current_time}\n"
+        message += f"📊 统计摘要:\n{stats_summary}\n"
+        message += f"📝 处理结果: 成功处理{len(daily_data)}条日记录 → 生成{len(weekly_list)}条周记录"
+        # 5. 发送通知
+        result = send_feishu_message(message)
+        logging.info(f"飞书消息发送成功: {result}")
+
+    except Exception as e:
+        error_message = f"❌ 周统计计算异常: {str(e)}"
+        logging.exception("程序执行异常")
+        send_feishu_message(error_message)

hang/Rewrite/active_vin_check.py

@@ -0,0 +1,362 @@
+import pandas as pd
+import requests
+import logging
+import time
+import json
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+from datetime import datetime
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(essage)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
+
+# ====================== 全局配置 ======================
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# 飞书多维表格配置
+FEISHU_APP_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 应用Token
+FEISHU_TABLE_ID = "tbloPJHLc05MHIAY"  # 表格ID
+VIN_FIELD_NAME = "车架号"  # VIN字段名称
+ACTIVE_FIELD_NAME = "激活状态"  # 激活状态字段名称
+VEHICLE_NAME_FIELD = "车型"#  车型字段名称
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+MULTI_TABLE_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?from=from_copylink"
+
+
+# ====================== 通用函数 ======================
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def send_feishu_message(message):
+    """发送飞书通知[9,10](@ref)"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": MULTI_TABLE_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "车辆状态同步报告", "tag": "plain_text"},
+                "template": "blue"
+            }
+        }
+    }
+
+    try:
+        response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        logging.error(f"飞书消息发送失败: {str(e)}")
+        return None
+
+
+# ====================== 车辆激活状态同步 ======================
+def read_feishu_records(app_token, table_id, retry=3):
+    """从飞书多维表格读取车辆记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records"
+    params = {"page_size": 500}  # 单次请求最大记录数
+
+    all_records = []
+    page_token = None
+
+    while True:
+        if page_token:
+            params["page_token"] = page_token
+
+        records_fetched = False
+        for attempt in range(retry):
+            try:
+                response = requests.get(url, headers=headers, params=params, timeout=30)
+                response.raise_for_status()
+                resp_data = response.json()
+
+                if resp_data.get("code") != 0:
+                    raise Exception(f"API错误: {resp_data.get('msg')}")
+
+                records = resp_data["data"]["items"]
+                all_records.extend(records)
+
+                # 检查是否有下一页
+                if "page_token" in resp_data["data"] and resp_data["data"]["has_more"]:
+                    page_token = resp_data["data"]["page_token"]
+                else:
+                    page_token = None
+
+                records_fetched = True
+                break
+            except Exception as e:
+                logging.warning(f"读取多维表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+                if attempt < retry - 1:
+                    time.sleep(2 ** attempt)
+
+        if not records_fetched:
+            raise Exception("无法读取多维表格数据")
+
+        if not page_token:
+            break
+
+    return all_records
+
+
+def fetch_activation_data():
+    """从数据库查询车辆激活状态"""
+    try:
+        # 创建SQLAlchemy引擎
+        safe_password = quote_plus(DB_CONFIG['password'])
+        engine = create_engine(
+            f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+            pool_recycle=3600
+        )
+
+        sql_query = """
+SELECT
+            v.VIN AS car_vins,
+            CASE s.STATE
+                WHEN 2 THEN 'active'
+                ELSE 'no_active'
+            END AS active_status,
+            iv.`NAME` AS vehicle_name
+        FROM v_vehicle_info v
+        JOIN v_tbox_info t USING (VIN)
+        JOIN v_sim_info s USING (SN)
+        LEFT JOIN v_material_info m ON m.MATERIAL_ID = v.MATERIAL_ID
+        LEFT JOIN v_outside_vehicle_type ov ON ov.TYPE_CODE = m.OUTSIDE_TYPE_CODE
+        LEFT JOIN v_inside_vehicle_type iv ON iv.TYPE_CODE = ov.INSIDE_TYPE_CODE
+        """
+
+        # 执行查询并转换为DataFrame
+        df = pd.read_sql(sql_query, engine)
+        return df.set_index('car_vins')['active_status'].to_dict()
+
+    except Exception as e:
+        logging.error(f"数据库查询失败: {str(e)}")
+        raise
+
+
+def compare_and_update_records(app_token, table_id, activation_data):
+    """比较并更新飞书多维表格记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 1. 读取多维表格所有记录
+    feishu_records = read_feishu_records(app_token, table_id)
+    logging.info(f"成功读取{len(feishu_records)}条多维表格记录")
+
+    # 统计变量
+    total_updated = 0
+    activated_count = 0
+    not_activated_count = 0
+
+    # 2. 准备需要更新的记录
+    records_to_update = []
+
+    for record in feishu_records:
+        try:
+            record_id = record["record_id"]
+            fields = record.get("fields", {})
+
+            # 获取车架号(VIN)
+            vin = fields.get(VIN_FIELD_NAME)
+            if not vin:
+                logging.warning(f"记录 {record_id} 缺少VIN字段")
+                continue
+
+            # 获取多维表格中的激活状态
+            current_status = fields.get(ACTIVE_FIELD_NAME, "").lower()
+
+            # 获取数据库中的激活状态
+            db_status = activation_data.get(vin)
+            if not db_status:
+                logging.warning(f"VIN {vin} 在数据库中未找到")
+                continue
+
+            # 比较状态是否需要更新
+            if db_status != current_status:
+                records_to_update.append({
+                    "record_id": record_id,
+                    "fields": {
+                        ACTIVE_FIELD_NAME: db_status
+                    }
+                })
+                logging.info(f"VIN {vin} 状态需更新: {current_status} → {db_status}")
+
+                # 统计更新状态
+                if db_status == 'active':
+                    activated_count += 1
+                else:
+                    not_activated_count += 1
+
+        except Exception as e:
+            logging.error(f"处理记录异常: {record} - {str(e)}")
+
+    total_updated = len(records_to_update)
+    logging.info(f"需要更新{total_updated}条记录")
+    logging.info(f"更新统计: 激活车辆: {activated_count}台, 未激活车辆: {not_activated_count}台")
+
+    # 3. 批量更新记录 (每批次50条)
+    if not records_to_update:
+        logging.info("没有需要更新的记录")
+        return total_updated, activated_count, not_activated_count
+
+    batch_size = 50
+    success_count = 0
+
+    for i in range(0, len(records_to_update), batch_size):
+        batch = records_to_update[i:i + batch_size]
+        batch_payload = {"records": batch}
+
+        update_url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records/batch_update"
+
+        for attempt in range(3):  # 最多重试3次
+            try:
+                response = requests.post(update_url, headers=headers, json=batch_payload, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    success_count += len(batch)
+                    logging.info(f"成功更新批次 {i // batch_size + 1}: {len(batch)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    logging.warning(f"更新失败(尝试 {attempt + 1}/3): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"网络错误(尝试 {attempt + 1}/3): {str(e)}")
+                time.sleep(2 ** attempt)
+
+    logging.info(f"总计更新成功{success_count}条记录")
+    return total_updated, activated_count, not_activated_count
+
+
+def sync_vehicle_activation():
+    """执行车辆激活状态同步流程"""
+    try:
+        start_time = time.time()
+        logging.info("开始车辆激活状态同步流程...")
+
+        # 1. 从数据库获取激活状态数据
+        activation_data = fetch_activation_data()
+        logging.info(f"从数据库获取{len(activation_data)}条激活状态记录")
+
+        # 统计数据库中的激活状态
+        db_activated = sum(1 for status in activation_data.values() if status == 'active')
+        db_not_activated = sum(1 for status in activation_data.values() if status == 'no_active')
+        logging.info(f"数据库统计: 激活车辆: {db_activated}台, 未激活车辆: {db_not_activated}台")
+
+        # 2. 与飞书多维表格数据比对并更新
+        total_updated, activated_count, not_activated_count = compare_and_update_records(
+            FEISHU_APP_TOKEN, FEISHU_TABLE_ID, activation_data
+        )
+
+        # 3. 输出最终统计结果
+        logging.info("=" * 50)
+        logging.info(f"本次更新统计结果:")
+        logging.info(f"  - 更新车辆总数: {total_updated}台")
+        logging.info(f"  - 激活车辆数量: {activated_count}台")
+        logging.info(f"  - 未激活车辆数量: {not_activated_count}台")
+        logging.info("=" * 50)
+
+        # 4. 完成日志
+        elapsed_time = time.time() - start_time
+        logging.info(f"流程完成! 耗时: {elapsed_time:.2f}秒, 更新记录数: {total_updated}")
+
+        return {
+            "total_updated": total_updated,
+            "activated_count": activated_count,
+            "not_activated_count": not_activated_count,
+            "elapsed_time": elapsed_time
+        }
+
+    except Exception as e:
+        logging.error(f"流程执行异常: {str(e)}")
+        logging.exception("详细错误信息")
+        return None
+
+
+# ====================== 主执行流程 ======================
+if __name__ == '__main__':
+    # 执行车辆激活状态同步
+    sync_result = sync_vehicle_activation()
+
+    if sync_result:
+        # 构建飞书消息
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+        message = (
+            f"🚗 **车辆激活状态同步完成** ✅\n"
+            f"⏰ 同步时间: {current_time}\n"
+            f"⏱️ 处理耗时: {sync_result['elapsed_time']:.2f}秒\n\n"
+            f"📊 **同步统计结果:**\n"
+            f"• 更新车辆总数: {sync_result['total_updated']}台\n"
+            f"• ✅ 激活车辆数量: {sync_result['activated_count']}台\n"
+            f"• ❌ 未激活车辆数量: {sync_result['not_activated_count']}台\n\n"
+            f"🔗 查看多维表格: [点击访问]({MULTI_TABLE_URL})"
+        )
+
+        # 发送飞书通知
+        send_result = send_feishu_message(message)
+        if send_result:
+            logging.info(f"飞书消息发送成功: {send_result}")
+        else:
+            logging.error("飞书消息发送失败")
+    else:
+        error_message = "❌ 车辆激活状态同步失败，请检查日志"
+        send_feishu_message(error_message)
+        logging.error(error_message)

hang/Rewrite/add_vehicle_type.py

@@ -0,0 +1,322 @@
+import pandas as pd
+import requests
+import logging
+import time
+import json
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+from datetime import datetime
+
+# 配置日志
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(name)s %(message)s'
+    )
+
+# ====================== 全局配置 ======================
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# 飞书多维表格配置
+FEISHU_APP_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 应用Token
+FEISHU_TABLE_ID = "tbloPJHLc05MHIAY"  # 表格ID
+VIN_FIELD_NAME = "车架号"  # VIN字段名称
+ACTIVE_FIELD_NAME = "激活状态"  # 激活状态字段名称
+VEHICLE_NAME_FIELD = "车型"
+
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+MULTI_TABLE_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?from=from_copylink"
+
+# ====================== 通用函数 ======================
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {e}")
+        raise
+
+def send_feishu_message(message):
+    """发送飞书通知[9,10](@ref)"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": MULTI_TABLE_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "车辆状态同步报告", "tag": "plain_text"},
+                "template": "blue"
+            }
+        }
+    }
+
+    try:
+        response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        logging.error(f"飞书消息发送失败: {str(e)}")
+        return None
+def read_feishu_records(app_token, table_id, retry=3):
+    """从飞书多维表格读取车辆记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records"
+    params = {"page_size": 500}
+
+    all_records = []
+    page_token = None
+
+    while True:
+        if page_token:
+            params["page_token"] = page_token
+
+        for attempt in range(retry):
+            try:
+                response = requests.get(url, headers=headers, params=params, timeout=30)
+                response.raise_for_status()
+                resp_data = response.json()
+                if resp_data.get("code") != 0:
+                    raise Exception(f"API错误: {resp_data.get('msg')}")
+                records = resp_data["data"]["items"]
+                all_records.extend(records)
+                has_more = resp_data["data"].get("has_more")
+                page_token = resp_data["data"].get("page_token") if has_more else None
+                break
+            except Exception as e:
+                logging.warning(f"读取多维表格失败(尝试 {attempt+1}/{retry}): {e}")
+                time.sleep(2 ** attempt)
+        else:
+            raise Exception("无法读取多维表格数据")
+
+        if not page_token:
+            break
+
+    return all_records
+
+
+def fetch_activation_data():
+    """从数据库查询车辆激活状态和车型"""
+    try:
+        safe_password = quote_plus(DB_CONFIG['password'])
+        engine = create_engine(
+            f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+            pool_recycle=3600
+        )
+
+        sql_query = """
+        SELECT
+            v.VIN AS car_vins,
+            CASE s.STATE
+                WHEN 2 THEN 'active'
+                ELSE 'no_active'
+            END AS active_status,
+            iv.`NAME` AS `车型`
+        FROM v_vehicle_info v
+        JOIN v_tbox_info t USING (VIN)
+        JOIN v_sim_info s USING (SN)
+        LEFT JOIN v_material_info m ON m.MATERIAL_ID = v.MATERIAL_ID
+        LEFT JOIN v_outside_vehicle_type ov ON ov.TYPE_CODE = m.OUTSIDE_TYPE_CODE
+        LEFT JOIN v_inside_vehicle_type iv ON iv.TYPE_CODE = ov.INSIDE_TYPE_CODE
+        """
+
+        df = pd.read_sql(sql_query, engine)
+        # --- 新增：按 VIN 去重，保留第一条记录 ---
+        df = df.drop_duplicates(subset=['car_vins'], keep='first')
+        # 校验列是否都在
+        expected = ['car_vins', 'active_status', VEHICLE_NAME_FIELD]
+        missing = [c for c in expected if c not in df.columns]
+        if missing:
+            logging.error(f"查询结果缺少列: {missing}")
+            raise KeyError(f"Missing columns: {missing}")
+
+        # 设索引并返回字典
+        df2 = df.set_index('car_vins')[['active_status', VEHICLE_NAME_FIELD]]
+        return df2.to_dict(orient='index')
+
+    except Exception as e:
+        logging.error(f"数据库查询失败: {e}")
+        raise
+
+
+
+def compare_and_update_records(app_token, table_id, activation_data):
+    """比较并更新飞书多维表格记录：既更新激活状态，也写入车型"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    feishu_records = read_feishu_records(app_token, table_id)
+    logging.info(f"成功读取{len(feishu_records)}条多维表格记录")
+
+    records_to_update = []
+    activated_count = not_activated_count = 0
+
+    for record in feishu_records:
+        record_id = record.get("record_id")
+        fields = record.get("fields", {})
+        vin = fields.get(VIN_FIELD_NAME)
+        if not vin:
+            logging.warning(f"记录 {record_id} 缺少VIN字段")
+            continue
+
+        db = activation_data.get(vin)
+        if not db:
+            logging.warning(f"VIN {vin} 在数据库中未找到")
+            continue
+
+        db_status = db['active_status']
+        db_name   = db[VEHICLE_NAME_FIELD]
+
+        current_status = fields.get(ACTIVE_FIELD_NAME, "").lower()
+        current_name   = fields.get(VEHICLE_NAME_FIELD, "")
+
+        if db_status != current_status or db_name != current_name:
+            update_fields = {
+                ACTIVE_FIELD_NAME:  db_status,
+                VEHICLE_NAME_FIELD: db_name
+            }
+            records_to_update.append({
+                "record_id": record_id,
+                "fields": update_fields
+            })
+            logging.debug(f"VIN {vin} 需要更新: 状态 {current_status}→{db_status}, 车型 {current_name}→{db_name}")
+
+            if db_status == "active":
+                activated_count += 1
+            else:
+                not_activated_count += 1
+
+    total_updated = len(records_to_update)
+    logging.info(f"需要更新 {total_updated} 条记录（激活：{activated_count}，未激活：{not_activated_count}）")
+
+    # 批量更新
+    batch_size = 50
+    for i in range(0, total_updated, batch_size):
+        batch = records_to_update[i:i+batch_size]
+        payload = {"records": batch}
+        url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records/batch_update"
+        for attempt in range(3):
+            try:
+                r = requests.post(url, headers=headers, json=payload, timeout=30)
+                data = r.json()
+                if r.status_code == 200 and data.get("code") == 0:
+                    logging.info(f"第{i//batch_size+1}批更新成功，{len(batch)}条")
+                    break
+                else:
+                    logging.warning(f"第{i//batch_size+1}批更新失败(尝试{attempt+1}/3)：{data.get('msg')}")
+            except Exception as e:
+                logging.warning(f"网络异常(尝试{attempt+1}/3)：{e}")
+                time.sleep(2 ** attempt)
+
+    return total_updated, activated_count, not_activated_count
+
+
+def sync_vehicle_activation():
+    """执行车辆激活状态同步流程"""
+    try:
+        start_time = time.time()
+        logging.info("开始车辆激活状态同步流程...")
+
+        activation_data = fetch_activation_data()
+        logging.info(f"从数据库获取{len(activation_data)}条激活状态记录")
+
+        db_activated     = sum(1 for v in activation_data.values() if v['active_status']=='active')
+        db_not_activated = sum(1 for v in activation_data.values() if v['active_status']=='no_active')
+        logging.info(f"数据库统计: 激活车辆 {db_activated}台, 未激活车辆 {db_not_activated}台")
+
+        total_updated, activated_count, not_activated_count = compare_and_update_records(
+            FEISHU_APP_TOKEN, FEISHU_TABLE_ID, activation_data
+        )
+
+        logging.info("="*50)
+        logging.info(f"本次更新统计: 总更新 {total_updated}台, 激活 {activated_count}台, 未激活 {not_activated_count}台")
+        logging.info("="*50)
+
+        elapsed = time.time()-start_time
+        logging.info(f"流程完成! 耗时 {elapsed:.2f}秒")
+        return {
+            "total_updated": total_updated,
+            "activated_count": activated_count,
+            "not_activated_count": not_activated_count,
+            "elapsed_time": elapsed
+        }
+
+    except Exception as e:
+        logging.error(f"流程执行异常: {e}")
+        logging.exception("详细错误信息")
+        return None
+
+if __name__ == '__main__':
+    sync_result=sync_vehicle_activation()
+
+
+    if sync_result:
+        # 构建飞书消息
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+        message = (
+            f"🚗 **车辆激活状态同步完成** ✅\n"
+            f"⏰ 同步时间: {current_time}\n"
+            f"⏱️ 处理耗时: {sync_result['elapsed_time']:.2f}秒\n\n"
+            f"📊 **同步统计结果:**\n"
+            f"• 更新车辆总数: {sync_result['total_updated']}台\n"
+            f"• ✅ 激活车辆数量: {sync_result['activated_count']}台\n"
+            f"• ❌ 未激活车辆数量: {sync_result['not_activated_count']}台\n\n"
+            f"🔗 查看多维表格: [点击访问]({MULTI_TABLE_URL})"
+        )
+
+        # 发送飞书通知
+        send_result = send_feishu_message(message)
+        if send_result:
+            logging.info(f"飞书消息发送成功: {send_result}")
+        else:
+            logging.error("飞书消息发送失败")
+    else:
+        error_message = "❌ 车辆激活状态同步失败，请检查日志"
+        send_feishu_message(error_message)
+        logging.error(error_message)

hang/Rewrite/car_active_seek_UK.py

@@ -0,0 +1,347 @@
+import pandas as pd
+import requests
+import logging
+import time
+import json
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+from datetime import datetime
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(name)s %(message)s'
+)
+
+# ====================== 全局配置 ======================
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# 飞书多维表格配置 (多市场表格配置)
+FEISHU_APP_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 应用Token (恢复此关键变量)
+MARKET_TABLES = [
+    {"name": "英国", "table_id": "tblbfEHrsojQ4D5w", "view_id": "vewBvcYDAa"}
+]
+
+# 通用字段映射
+VIN_FIELD_NAME = "车架号"
+ACTIVE_FIELD_NAME = "激活状态"
+VEHICLE_NAME_FIELD = "车型"
+
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+MULTI_TABLE_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?from=from_copylink"
+
+
+# ====================== 通用函数 ======================
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {e}")
+        raise
+
+
+def send_feishu_message(message):
+    """发送飞书通知"""
+    headers = {'Content-Type': 'application/json'}
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": MULTI_TABLE_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "车辆状态同步报告", "tag": "plain_text"},
+                "template": "blue"
+            }
+        }
+    }
+
+    try:
+        response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        logging.error(f"飞书消息发送失败: {str(e)}")
+        return None
+
+
+def read_feishu_records(app_token, table_id, view_id, retry=3):
+    """从飞书多维表格读取车辆记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records"
+    params = {
+        "page_size": 500,
+        "view_id": view_id  # 添加视图ID参数
+    }
+
+    all_records = []
+    page_token = None
+
+    while True:
+        if page_token:
+            params["page_token"] = page_token
+
+        for attempt in range(retry):
+            try:
+                response = requests.get(url, headers=headers, params=params, timeout=30)
+                response.raise_for_status()
+                resp_data = response.json()
+                if resp_data.get("code") != 0:
+                    raise Exception(f"API错误: {resp_data.get('msg')}")
+                records = resp_data["data"]["items"]
+                all_records.extend(records)
+                has_more = resp_data["data"].get("has_more")
+                page_token = resp_data["data"].get("page_token") if has_more else None
+                break
+            except Exception as e:
+                logging.warning(f"读取多维表格失败(尝试 {attempt + 1}/{retry}): {e}")
+                time.sleep(2 ** attempt)
+        else:
+            raise Exception("无法读取多维表格数据")
+
+        if not page_token:
+            break
+
+    return all_records
+
+
+def fetch_activation_data():
+    """从数据库查询车辆激活状态和车型"""
+    try:
+        safe_password = quote_plus(DB_CONFIG['password'])
+        engine = create_engine(
+            f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+            pool_recycle=3600
+        )
+
+        sql_query = """
+        SELECT
+            v.VIN AS car_vins,
+            CASE s.STATE
+                WHEN 2 THEN 'active'
+                ELSE 'no_active'
+            END AS active_status,
+            iv.`NAME` AS `车型`
+        FROM v_vehicle_info v
+        JOIN v_tbox_info t USING (VIN)
+        JOIN v_sim_info s USING (SN)
+        LEFT JOIN v_material_info m ON m.MATERIAL_ID = v.MATERIAL_ID
+        LEFT JOIN v_outside_vehicle_type ov ON ov.TYPE_CODE = m.OUTSIDE_TYPE_CODE
+        LEFT JOIN v_inside_vehicle_type iv ON iv.TYPE_CODE = ov.INSIDE_TYPE_CODE
+        """
+
+        df = pd.read_sql(sql_query, engine)
+        df = df.drop_duplicates(subset=['car_vins'], keep='first')
+
+        expected = ['car_vins', 'active_status', VEHICLE_NAME_FIELD]
+        missing = [c for c in expected if c not in df.columns]
+        if missing:
+            logging.error(f"查询结果缺少列: {missing}")
+            raise KeyError(f"Missing columns: {missing}")
+
+        df2 = df.set_index('car_vins')[['active_status', VEHICLE_NAME_FIELD]]
+        return df2.to_dict(orient='index')
+
+    except Exception as e:
+        logging.error(f"数据库查询失败: {e}")
+        raise
+
+
+
+def compare_and_update_records(app_token, table_id, view_id, activation_data):
+    """比较并更新飞书多维表格记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    feishu_records = read_feishu_records(app_token, table_id, view_id)
+    logging.info(f"读取 {len(feishu_records)} 条多维表格记录完成")
+
+    # 初始化计数器和待更新列表
+    records_to_update = []
+    activated_count = 0
+    not_activated_count = 0
+
+    # Streamline record processing and validation upfront
+    valid_records = [
+        record for record in feishu_records
+        if record.get("fields", {}).get(VIN_FIELD_NAME)
+    ]
+    logging.info(f"有效记录数: {len(valid_records)} (过滤无效记录)")
+
+    for record in valid_records:
+        record_id = record["record_id"]
+        fields = record["fields"]
+        vin = fields[VIN_FIELD_NAME]
+
+        # 数据库信息匹配
+        db_data = activation_data.get(vin)
+        if not db_data:
+            continue  # 如果VIN不存在于数据库，则跳过
+        db_status = db_data['active_status']
+        db_name = db_data[VEHICLE_NAME_FIELD]
+
+        current_status = fields.get(ACTIVE_FIELD_NAME, "").lower()
+        current_name = fields.get(VEHICLE_NAME_FIELD, "")
+
+        # 需要更新的记录
+        if db_status != current_status or db_name != current_name:
+            records_to_update.append({
+                "record_id": record_id,
+                "fields": {
+                    ACTIVE_FIELD_NAME: db_status,
+                    VEHICLE_NAME_FIELD: db_name
+                }
+            })
+            if db_status == "active":
+                activated_count += 1
+            else:
+                not_activated_count += 1
+
+    total_updated = len(records_to_update)
+    logging.info(f"准备更新 {total_updated} 条记录 (激活: {activated_count}, 未激活: {not_activated_count})")
+
+    # 批量更新记录
+    batch_size = 100
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records/batch_update"
+
+    def batch_update(batch):
+        payload = {"records": batch}
+        for attempt in range(3):  # 网络重试机制
+            try:
+                response = requests.post(url, headers=headers, json=payload, timeout=30)
+                if response.status_code == 200 and response.json().get("code") == 0:
+                    return True  # 更新成功
+                else:
+                    logging.warning(f"更新失败，第{attempt + 1}次尝试: {response.json().get('msg')}")
+            except Exception as e:
+                logging.warning(f"网络异常，第{attempt + 1}次尝试: {e}")
+                time.sleep(2 ** attempt)  # 指数级等待
+        return False  # 所有尝试均失败
+
+    # 批次处理记录更新
+    for i in range(0, total_updated, batch_size):
+        batch = records_to_update[i:i + batch_size]
+        if batch_update(batch):
+            logging.info(f"批次 {i // batch_size + 1} 更新成功 ({len(batch)} 条记录)")
+        else:
+            logging.error(f"批次 {i // batch_size + 1} 更新失败 ({len(batch)} 条记录)")
+
+    return total_updated, activated_count, not_activated_count
+
+# ====================== 多表格处理流程 ======================
+def sync_all_markets():
+    """执行所有市场的车辆激活状态同步"""
+    start_time = time.time()
+    all_results = []
+
+    try:
+        # 一次性获取所有激活数据（避免多次查询数据库）
+        logging.info("开始获取数据库激活数据...")
+        activation_data = fetch_activation_data()
+        logging.info(f"获取到 {len(activation_data)} 条车辆激活数据")
+
+        # 按市场依次处理
+        for market in MARKET_TABLES:
+            market_name = market["name"]
+            table_id = market["table_id"]
+            view_id = market["view_id"]
+
+            logging.info(f"开始同步市场: {market_name} (表格ID: {table_id})")
+
+            try:
+                # 使用FEISHU_APP_TOKEN修复NameError问题 ⭐⭐关键修复
+                updated, activated, not_activated = compare_and_update_records(
+                    FEISHU_APP_TOKEN,
+                    table_id,
+                    view_id,
+                    activation_data
+                )
+
+                result = {
+                    "market": market_name,
+                    "table_id": table_id,
+                    "total_updated": updated,
+                    "activated_count": activated,
+                    "not_activated_count": not_activated,
+                    "success": True
+                }
+                logging.info(f"{market_name}同步完成: 更新{updated}台 (✅激活{activated}台，❌未激活{not_activated}台)")
+
+            except Exception as e:
+                result = {
+                    "market": market_name,
+                    "table_id": table_id,
+                    "error": str(e),
+                    "success": False
+                }
+                logging.error(f"{market_name}同步失败: {str(e)}", exc_info=True)
+
+            all_results.append(result)
+            time.sleep(1)  # 每个市场处理间隔
+
+        # 统计总体数据
+        total_elapsed = time.time() - start_time
+        return {
+            "success": True,
+            "results": all_results,
+            "elapsed_time": total_elapsed,
+            "start_time": start_time
+        }
+
+    except Exception as e:
+        logging.error(f"整体同步流程失败: {str(e)}", exc_info=True)
+        return {
+            "success": False,
+            "error": str(e),
+            "elapsed_time": time.time() - start_time
+        }
+
+
+if __name__ == '__main__':
+    # 执行多市场同步
+    sync_result = sync_all_markets()
+    current_time = datetime.now().strftime("%Y-%m-%d %H:%M")

hang/Rewrite/car_active_seek_by_area.py

@@ -0,0 +1,387 @@
+import pandas as pd
+import requests
+import logging
+import time
+import json
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+from datetime import datetime
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(name)s %(message)s'
+)
+
+# ====================== 全局配置 ======================
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# 飞书多维表格配置 (多市场表格配置)
+FEISHU_APP_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 应用Token (恢复此关键变量)
+MARKET_TABLES = [
+    {"name": "欧洲所有", "table_id": "tbloPJHLc05MHIAY", "view_id": "vewBvcYDAa"},
+    {"name": "意大利", "table_id": "tbl4ZXTTgcPvdZUD", "view_id": "vewBvcYDAa"},
+    {"name": "西班牙", "table_id": "tbl0KBWQT1ZqiT2g", "view_id": "vewBvcYDAa"},
+    {"name": "英国", "table_id": "tblbfEHrsojQ4D5w", "view_id": "vewBvcYDAa"},
+    {"name": "比利时", "table_id": "tblYN3eEEumBMlgB", "view_id": "vewBvcYDAa"}
+]
+
+# 通用字段映射
+VIN_FIELD_NAME = "车架号"
+ACTIVE_FIELD_NAME = "激活状态"
+VEHICLE_NAME_FIELD = "车型"
+
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+MULTI_TABLE_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?from=from_copylink"
+
+
+# ====================== 通用函数 ======================
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {e}")
+        raise
+
+
+def send_feishu_message(message):
+    """发送飞书通知"""
+    headers = {'Content-Type': 'application/json'}
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": MULTI_TABLE_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "车辆状态同步报告", "tag": "plain_text"},
+                "template": "blue"
+            }
+        }
+    }
+
+    try:
+        response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        logging.error(f"飞书消息发送失败: {str(e)}")
+        return None
+
+
+def read_feishu_records(app_token, table_id, view_id, retry=3):
+    """从飞书多维表格读取车辆记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records"
+    params = {
+        "page_size": 500,
+        "view_id": view_id  # 添加视图ID参数
+    }
+
+    all_records = []
+    page_token = None
+
+    while True:
+        if page_token:
+            params["page_token"] = page_token
+
+        for attempt in range(retry):
+            try:
+                response = requests.get(url, headers=headers, params=params, timeout=30)
+                response.raise_for_status()
+                resp_data = response.json()
+                if resp_data.get("code") != 0:
+                    raise Exception(f"API错误: {resp_data.get('msg')}")
+                records = resp_data["data"]["items"]
+                all_records.extend(records)
+                has_more = resp_data["data"].get("has_more")
+                page_token = resp_data["data"].get("page_token") if has_more else None
+                break
+            except Exception as e:
+                logging.warning(f"读取多维表格失败(尝试 {attempt + 1}/{retry}): {e}")
+                time.sleep(2 ** attempt)
+        else:
+            raise Exception("无法读取多维表格数据")
+
+        if not page_token:
+            break
+
+    return all_records
+
+
+def fetch_activation_data():
+    """从数据库查询车辆激活状态和车型"""
+    try:
+        safe_password = quote_plus(DB_CONFIG['password'])
+        engine = create_engine(
+            f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+            pool_recycle=3600
+        )
+
+        sql_query = """
+        SELECT
+            v.VIN AS car_vins,
+            CASE s.STATE
+                WHEN 2 THEN 'active'
+                ELSE 'no_active'
+            END AS active_status,
+            iv.`NAME` AS `车型`
+        FROM v_vehicle_info v
+        JOIN v_tbox_info t USING (VIN)
+        JOIN v_sim_info s USING (SN)
+        LEFT JOIN v_material_info m ON m.MATERIAL_ID = v.MATERIAL_ID
+        LEFT JOIN v_outside_vehicle_type ov ON ov.TYPE_CODE = m.OUTSIDE_TYPE_CODE
+        LEFT JOIN v_inside_vehicle_type iv ON iv.TYPE_CODE = ov.INSIDE_TYPE_CODE
+        """
+
+        df = pd.read_sql(sql_query, engine)
+        df = df.drop_duplicates(subset=['car_vins'], keep='first')
+
+        expected = ['car_vins', 'active_status', VEHICLE_NAME_FIELD]
+        missing = [c for c in expected if c not in df.columns]
+        if missing:
+            logging.error(f"查询结果缺少列: {missing}")
+            raise KeyError(f"Missing columns: {missing}")
+
+        df2 = df.set_index('car_vins')[['active_status', VEHICLE_NAME_FIELD]]
+        return df2.to_dict(orient='index')
+
+    except Exception as e:
+        logging.error(f"数据库查询失败: {e}")
+        raise
+
+
+def compare_and_update_records(app_token, table_id, view_id, activation_data):
+    """比较并更新飞书多维表格记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    feishu_records = read_feishu_records(app_token, table_id, view_id)
+    logging.info(f"成功读取{len(feishu_records)}条多维表格记录")
+
+    records_to_update = []
+    activated_count = not_activated_count = 0
+
+    for record in feishu_records:
+        record_id = record.get("record_id")
+        fields = record.get("fields", {})
+        vin = fields.get(VIN_FIELD_NAME)
+        if not vin:
+            logging.warning(f"记录 {record_id} 缺少VIN字段")
+            continue
+
+        db = activation_data.get(vin)
+        if not db:
+            logging.warning(f"VIN {vin} 在数据库中未找到")
+            continue
+
+        db_status = db['active_status']
+        db_name = db[VEHICLE_NAME_FIELD]
+
+        current_status = fields.get(ACTIVE_FIELD_NAME, "").lower()
+        current_name = fields.get(VEHICLE_NAME_FIELD, "")
+
+        if db_status != current_status or db_name != current_name:
+            update_fields = {
+                ACTIVE_FIELD_NAME: db_status,
+                VEHICLE_NAME_FIELD: db_name
+            }
+            records_to_update.append({
+                "record_id": record_id,
+                "fields": update_fields
+            })
+            logging.debug(f"VIN {vin} 需要更新: 状态 {current_status}→{db_status}, 车型 {current_name}→{db_name}")
+
+            if db_status == "active":
+                activated_count += 1
+            else:
+                not_activated_count += 1
+
+    total_updated = len(records_to_update)
+    logging.info(f"需要更新 {total_updated} 条记录（激活：{activated_count}，未激活：{not_activated_count}）")
+
+    # 批量更新
+    batch_size = 50
+    for i in range(0, total_updated, batch_size):
+        batch = records_to_update[i:i + batch_size]
+        payload = {"records": batch}
+        url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records/batch_update"
+        for attempt in range(3):
+            try:
+                r = requests.post(url, headers=headers, json=payload, timeout=30)
+                data = r.json()
+                if r.status_code == 200 and data.get("code") == 0:
+                    logging.info(f"第{i // batch_size + 1}批更新成功，{len(batch)}条")
+                    break
+                else:
+                    logging.warning(f"第{i // batch_size + 1}批更新失败(尝试{attempt + 1}/3)：{data.get('msg')}")
+            except Exception as e:
+                logging.warning(f"网络异常(尝试{attempt + 1}/3)：{e}")
+                time.sleep(2 ** attempt)
+
+    return total_updated, activated_count, not_activated_count
+
+
+# ====================== 多表格处理流程 ======================
+def sync_all_markets():
+    """执行所有市场的车辆激活状态同步"""
+    start_time = time.time()
+    all_results = []
+
+    try:
+        # 一次性获取所有激活数据（避免多次查询数据库）
+        logging.info("开始获取数据库激活数据...")
+        activation_data = fetch_activation_data()
+        logging.info(f"获取到 {len(activation_data)} 条车辆激活数据")
+
+        # 按市场依次处理
+        for market in MARKET_TABLES:
+            market_name = market["name"]
+            table_id = market["table_id"]
+            view_id = market["view_id"]
+
+            logging.info(f"开始同步市场: {market_name} (表格ID: {table_id})")
+
+            try:
+                # 使用FEISHU_APP_TOKEN修复NameError问题 ⭐⭐关键修复
+                updated, activated, not_activated = compare_and_update_records(
+                    FEISHU_APP_TOKEN,
+                    table_id,
+                    view_id,
+                    activation_data
+                )
+
+                result = {
+                    "market": market_name,
+                    "table_id": table_id,
+                    "total_updated": updated,
+                    "activated_count": activated,
+                    "not_activated_count": not_activated,
+                    "success": True
+                }
+                logging.info(f"{market_name}同步完成: 更新{updated}台 (✅激活{activated}台，❌未激活{not_activated}台)")
+
+            except Exception as e:
+                result = {
+                    "market": market_name,
+                    "table_id": table_id,
+                    "error": str(e),
+                    "success": False
+                }
+                logging.error(f"{market_name}同步失败: {str(e)}", exc_info=True)
+
+            all_results.append(result)
+            time.sleep(1)  # 每个市场处理间隔
+
+        # 统计总体数据
+        total_elapsed = time.time() - start_time
+        return {
+            "success": True,
+            "results": all_results,
+            "elapsed_time": total_elapsed,
+            "start_time": start_time
+        }
+
+    except Exception as e:
+        logging.error(f"整体同步流程失败: {str(e)}", exc_info=True)
+        return {
+            "success": False,
+            "error": str(e),
+            "elapsed_time": time.time() - start_time
+        }
+
+
+if __name__ == '__main__':
+    # 执行多市场同步
+    sync_result = sync_all_markets()
+    current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+    if sync_result.get("success"):
+        # 构建详细的飞书消息
+        message_header = f"🚗 **车辆激活状态同步完成** ✅\n" \
+                         f"⏰ 同步时间: {current_time}\n" \
+                         f"⏱️ 总耗时: {sync_result['elapsed_time']:.2f}秒\n\n" \
+                         f"📊 **各市场同步详情:**\n"
+
+        message_details = []
+        success_count = 0
+        for result in sync_result["results"]:
+            if result["success"]:
+                success_count += 1
+                detail = (
+                    f"• **{result['market']}**: "
+                    f"更新 {result['total_updated']}台 | "
+                    f"✅激活 {result['activated_count']}台 | "
+                    f"❌未激活 {result['not_activated_count']}台"
+                )
+            else:
+                detail = (
+                    f"• **{result['market']}**: ❌同步失败！错误信息: `{result['error']}`"
+                )
+            message_details.append(detail)
+
+        message_summary = f"\n✅ 成功处理 {success_count}/{len(MARKET_TABLES)} 个市场\n" \
+                          f"🔗 查看多维表格: [点击访问]({MULTI_TABLE_URL})"
+
+        full_message = message_header + "\n".join(message_details) + message_summary
+
+        # 发送飞书通知
+        send_result = send_feishu_message(full_message)
+        if send_result:
+            logging.info("飞书消息发送成功")
+        else:
+            logging.error("飞书消息发送失败")
+
+    else:
+        error_message = f"❌ **车辆激活状态同步失败**\n" \
+                        f"⏰ 时间: {current_time}\n" \
+                        f"⏱️ 耗时: {sync_result['elapsed_time']:.2f}秒\n" \
+                        f"错误信息: `{sync_result['error']}`\n\n" \
+                        f"请检查系统日志获取详细信息"
+
+        send_feishu_message(error_message)
+        logging.error(f"整体同步失败: {sync_result['error']}")

hang/active_time_analysis.py

@@ -0,0 +1,54 @@
+import pandas as pd
+from datetime import datetime
+import os
+
+# 配置参数
+CONFIG = {
+    'input_csv': r'C:\Users\Administrator\Desktop\European Local O&M\all-active-0522.csv.csv',
+    'output_dir': './output',
+    'required_columns': ['car_vins', 'active_status', 'MATERIAL', 'Area','active_date']
+}
+df=pd.read_csv(CONFIG['input_csv'])
+df['active_date'] = pd.to_datetime(df['active_date'], errors='coerce')
+active_df = df[df['active_status'] == 'active']
+daily_count = active_df.groupby(active_df['active_date'].dt.date).size().reset_index(name='active_count')
+print(daily_count)
+daily_count['active_date'] = pd.to_datetime(daily_count['active_date'])
+daily_count.set_index('active_date', inplace=True)
+weekly_count = daily_count.resample('W-MON').sum().reset_index()  # 每周从周一开始
+
+weekly_count.columns = ['week_start', 'weekly_active_count']
+weekly_count['week_number'] = pd.to_datetime(weekly_count['week_start']).dt.isocalendar().week
+weekly_count['year'] = pd.to_datetime(weekly_count['week_start']).dt.isocalendar().year
+# 转换为 datetime 类型
+weekly_count['week_start'] = pd.to_datetime(weekly_count['week_start'])
+
+# 提取年份后两位、月份
+weekly_count['year'] = weekly_count['week_start'].dt.year % 100
+weekly_count['month'] = weekly_count['week_start'].dt.month
+
+# 分组内生成「每月第几周」编号（用 cumcount）
+weekly_count['week_in_month'] = weekly_count.groupby(['year', 'month']).cumcount() + 1
+
+# 拼接成格式：25-1-4
+weekly_count['year_month_week'] = (
+    weekly_count['year'].astype(str) + '-' +
+    weekly_count['month'].astype(str) + '-' +
+    weekly_count['week_in_month'].astype(str)
+)
+
+print(weekly_count)
+
+# 获取输出目录路径
+output_dir = CONFIG['output_dir']
+os.makedirs(output_dir, exist_ok=True)  # 自动创建目录（如果不存在）
+
+# 拼接 Excel 文件路径
+output_path = os.path.join(output_dir, 'active_car_number.xlsx')
+
+# 导出
+with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
+    daily_count.reset_index().to_excel(writer, sheet_name='Daily', index=False)
+    weekly_count.to_excel(writer, sheet_name='Weekly', index=False)
+
+print(f"已成功导出至：{output_path}")

hang/chery_active_car.py

@@ -0,0 +1,97 @@
+import pandas as pd
+from datetime import datetime
+import os
+
+# 配置参数
+CONFIG = {
+    'input_csv': r'C:\Users\Administrator\Desktop\European Local O&M\all-active-0519.csv.csv',
+    'output_dir': './reports',
+    'required_columns': ['car_vins', 'active_status', 'MATERIAL', 'Area']
+}
+
+
+def validate_data(df):
+    """校验数据完整性"""
+    missing_cols = [col for col in CONFIG['required_columns'] if col not in df.columns]
+    if missing_cols:
+        raise ValueError(f"CSV文件中缺少必要字段: {','.join(missing_cols)}")
+
+
+def generate_report():
+    now = datetime.now()
+    today_str = now.strftime("%Y-%m-%d %H:%M:%S")
+    filename_date = now.strftime("%Y-%m-%d")
+
+    try:
+        print(f"\n📅 当前时间：{today_str}")
+        print("正在读取原始数据...")
+        df = pd.read_csv(CONFIG['input_csv'], encoding='utf-8-sig')
+
+        print("校验数据结构...")
+        validate_data(df)
+
+        # 拆分激活与未激活
+        active_df = df[df['active_status'] == 'active'].copy()
+        inactive_df = df[df['active_status'] != 'active'].copy()
+
+        print(f"✅ 已激活车辆总数：{len(active_df)}")
+        print(f"❗ 未激活车辆总数：{len(inactive_df)}")
+
+        if inactive_df.empty:
+            print("⚠️ 所有车辆均为激活状态，无需生成未激活清单")
+        else:
+            # 处理未激活车辆数据
+            inactive_df.insert(0, 'ReportDate', filename_date)
+            inactive_df.fillna({'Area': '未分配', 'MATERIAL': '未知物料'}, inplace=True)
+
+            # 保存未激活车辆清单
+            os.makedirs(CONFIG['output_dir'], exist_ok=True)
+            output_path = f"{CONFIG['output_dir']}/Inactive_Vehicles_{filename_date}.xlsx"
+            with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
+                inactive_df.to_excel(writer, index=False, sheet_name='InactiveVehicles')
+            print(f"\n📁 未激活车辆清单已生成：{os.path.abspath(output_path)}")
+
+        if active_df.empty:
+            print("⚠️ 无激活车辆，跳过分析")
+            return
+
+        # 分析激活车辆数据
+        active_df.fillna({'Area': '未分配', 'MATERIAL': '未知物料'}, inplace=True)
+
+        area_summary = (
+            active_df.groupby('Area')['car_vins']
+            .count()
+            .reset_index()
+            .rename(columns={'car_vins': 'ActiveCount'})
+            .sort_values(by='ActiveCount', ascending=False)
+        )
+
+        material_summary = (
+            active_df.groupby('MATERIAL')['car_vins']
+            .count()
+            .reset_index()
+            .rename(columns={'car_vins': 'ActiveCount'})
+            .sort_values(by='ActiveCount', ascending=False)
+        )
+
+        # 控制台输出分析结果
+        print("\n📊 区域分布统计（已激活车辆）：")
+        print(area_summary.to_string(index=False))
+
+        print("\n📦 销量前10的物料号（已激活车辆）：")
+        top10_materials = material_summary.head(10)
+        print(top10_materials.to_string(index=False))
+
+    except FileNotFoundError:
+        print(f"❌ 错误：未找到输入文件 {CONFIG['input_csv']}")
+    except Exception as e:
+        print(f"❌ 发生异常：{str(e)}")
+
+
+if __name__ == "__main__":
+    print("\n===== 奇瑞车辆日报生成器 =====")
+    input("请将最新csv放入daily_data文件夹后按回车键开始...")
+
+    generate_report()
+
+    input("\n处理完成！按任意键退出...")

hang/daily-active-check-eu-oj.py

@@ -0,0 +1,183 @@
+import pandas as pd
+import pymysql
+from sqlalchemy import create_engine
+import requests
+import json
+import pandas as pd
+from datetime import datetime
+import os
+
+
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": "cli_a8b50ec0eed1500d", "app_secret": "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"}
+    response = requests.post(api_token_url, json=api_post_data)
+    if response.status_code == 200 and response.json().get("code") == 0:
+        return response.json()["tenant_access_token"]
+    else:
+        raise Exception(f"获取 Token 失败: {response.text}")
+
+
+def overwrite_data(spreadsheet_token, values, access_token=None):
+    """覆盖写入数据到飞书多维表格"""
+    if not access_token:
+        access_token = get_access_token()
+
+    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{spreadsheet_token}/values"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    row_count = len(values) + 1
+    range_str = f"46ea20!A1:B{row_count}"
+
+    post_data = {
+        "valueRange": {
+            "range": range_str,
+            "values": values
+        }
+    }
+
+    response = requests.put(url, json=post_data, headers=headers)
+    return response  # 返回响应对象以便检查状态
+
+
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+
+def fetch_data_from_db():
+    """从数据库执行SQL查询获取数据"""
+    connection = pymysql.connect(**DB_CONFIG)
+    try:
+        sql_query = """
+        SELECT 
+            v_vehicle_info.VIN AS car_vins,
+            CASE v_sim_info.STATE 
+                WHEN 2 THEN 'active' 
+                ELSE 'no_active' 
+            END AS active_status,
+            v_vehicle_info.MATERIAL_ID as MATERIAL,
+            v_vehicle_info.SALES_TERRITORY as Area,
+            v_sim_info.ACTIVATION_DATE as active_date
+        FROM v_vehicle_info
+        JOIN v_tbox_info USING (VIN)
+        JOIN v_sim_info USING (SN);
+        """
+        return pd.read_sql(sql_query, connection)
+    finally:
+        connection.close()
+
+
+def send_feishu_message(webhook_url, message, spreadsheet_token=None):
+    """
+    通过Webhook发送飞书消息，支持添加多维表格链接
+    :param webhook_url: 机器人Webhook地址
+    :param message: 要发送的文本内容
+    :param spreadsheet_token: 多维表格ID（可选）
+    """
+    headers = {'Content-Type': 'application/json'}
+
+    # 如果有提供多维表格ID，添加表格链接按钮
+    if spreadsheet_token:
+        # 创建多维表格链接
+        spreadsheet_url = f"https://my-ichery.feishu.cn/sheets/{spreadsheet_token}"
+
+        # 使用交互式消息卡片格式
+        payload = {
+            "msg_type": "interactive",
+            "card": {
+                "config": {
+                    "wide_screen_mode": True
+                },
+                "elements": [{
+                    "tag": "div",
+                    "text": {
+                        "content": message,
+                        "tag": "lark_md"
+                    }
+                }, {
+                    "actions": [{
+                        "tag": "button",
+                        "text": {
+                            "content": "查看多维表格",
+                            "tag": "plain_text"
+                        },
+                        "type": "primary",
+                        "url": spreadsheet_url
+                    }],
+                    "tag": "action"
+                }],
+                "header": {
+                    "title": {
+                        "content": "数据同步完成通知",
+                        "tag": "plain_text"
+                    },
+                    "template": "green"
+                }
+            }
+        }
+    else:
+        # 普通文本消息
+        payload = {
+            "msg_type": "text",
+            "content": {"text": message}
+        }
+
+    response = requests.post(webhook_url, headers=headers, data=json.dumps(payload))
+    return response.json()
+
+
+if __name__ == '__main__':
+    # 配置参数
+    SPREADSHEET_ID = "MIqssvuB3h3XmgtkI26cBX7Angc"
+    WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/d82e4ada-8f78-40ae-b98e-75af0c448c95"
+
+    try:
+        # 1. 从数据库获取数据
+        df = fetch_data_from_db()
+
+        # 2. 处理数据
+        df['active_date'] = pd.to_datetime(df['active_date'], errors='coerce')
+        active_df = df[df['active_status'] == 'active']
+
+        # 3. 按天统计活跃数
+        daily_count = active_df.groupby(active_df['active_date'].dt.date).size().reset_index(name='active_count')
+        values = [[str(d), c] for d, c in daily_count.values.tolist()]
+
+        # 4. 覆盖写入多维表格
+        response = overwrite_data(SPREADSHEET_ID, values)
+
+        if response.status_code == 200:
+            # 5. 构建通知消息
+            current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+            stats_summary = f"• 今日活跃车辆: {daily_count['active_count'].iloc[-1] if len(daily_count) > 0 else 0}\n"
+            stats_summary += f"• 本周活跃车辆: {daily_count[daily_count['active_date'] >= (datetime.now() - pd.Timedelta(days=7)).date()]['active_count'].sum()}\n"
+            stats_summary += f"• 累计活跃车辆: {len(active_df)}"
+
+            message = f"🚗 车辆数据同步完成 ✅\n"
+            message += f"⏰ 时间: {current_time}\n"
+            message += f"📊 统计摘要:\n{stats_summary}\n"
+            message += "[安全关键词：告警]"
+
+            # 6. 发送包含多维表格链接的通知
+            result = send_feishu_message(WEBHOOK_URL, message, SPREADSHEET_ID)
+            print("飞书消息发送成功:", result)
+        else:
+            error_msg = f"表格写入失败: {response.status_code} - {response.text}"
+            error_message = f"❌ 数据同步失败\n{error_msg}\n[安全关键词：告警]"
+            send_feishu_message(WEBHOOK_URL, error_message)
+            print(error_msg)
+
+    except Exception as e:
+        error_message = f"❌ 数据同步异常: {str(e)}\n[安全关键词：告警]"
+        send_feishu_message(WEBHOOK_URL, error_message)
+        print("发生异常:", str(e))

hang/demo060904.py

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

hang/demo06092.py

@@ -0,0 +1,207 @@
+import pandas as pd
+import requests
+import json
+from datetime import datetime
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+import logging
+
+# 配置日志
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+
+def get_access_token():
+    """获取飞书访问令牌[1,7](@ref)"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": "cli_a8b50ec0eed1500d", "app_secret": "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        if response.json().get("code") == 0:
+            return response.json()["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {response.text}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def overwrite_data(spreadsheet_token, values, access_token=None):
+    """覆盖写入数据到飞书多维表格[1,6](@ref)"""
+    if not access_token:
+        access_token = get_access_token()
+
+    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{spreadsheet_token}/values"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    row_count = len(values) + 1
+    range_str = f"46ea20!A1:B{row_count}"
+
+    post_data = {
+        "valueRange": {
+            "range": range_str,
+            "values": values
+        }
+    }
+
+    try:
+        response = requests.put(url, json=post_data, headers=headers, timeout=15)
+        response.raise_for_status()
+        return response
+    except Exception as e:
+        logging.error(f"写入飞书表格失败: {str(e)}")
+        raise
+
+
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# 创建SQLAlchemy引擎（解决pandas警告问题）
+safe_password = quote_plus(DB_CONFIG['password'])
+engine = create_engine(
+    f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+    pool_recycle=3600,
+    pool_pre_ping=True,
+    pool_size=5,
+    max_overflow=10
+)
+
+
+def fetch_data_from_db():
+    """从数据库执行SQL查询获取数据（使用SQLAlchemy引擎）"""
+    try:
+        sql_query = """
+        SELECT 
+            v_vehicle_info.VIN AS car_vins,
+            CASE v_sim_info.STATE 
+                WHEN 2 THEN 'active' 
+                ELSE 'no_active' 
+            END AS active_status,
+            v_vehicle_info.MATERIAL_ID as MATERIAL,
+            v_vehicle_info.SALES_TERRITORY as Area,
+            v_sim_info.ACTIVATION_DATE as active_date
+        FROM v_vehicle_info
+        JOIN v_tbox_info USING (VIN)
+        JOIN v_sim_info USING (SN);
+        """
+        return pd.read_sql(sql_query, engine)
+    except Exception as e:
+        logging.error(f"数据库查询失败: {str(e)}")
+        raise
+
+
+def send_feishu_message(webhook_url, message, spreadsheet_token=None, retry=2):
+    """
+    通过Webhook发送飞书消息，支持添加多维表格链接[2,8](@ref)
+    :param webhook_url: 机器人Webhook地址
+    :param message: 要发送的文本内容
+    :param spreadsheet_token: 多维表格ID（可选）
+    :param retry: 重试次数
+    """
+    headers = {'Content-Type': 'application/json'}
+
+    # 如果有提供多维表格ID，添加表格链接按钮
+    if spreadsheet_token:
+        spreadsheet_url = f"https://my-ichery.feishu.cn/sheets/{spreadsheet_token}"
+        payload = {
+            "msg_type": "interactive",
+            "card": {
+                "config": {"wide_screen_mode": True},
+                "elements": [
+                    {
+                        "tag": "div",
+                        "text": {"content": message, "tag": "lark_md"}
+                    },
+                    {
+                        "actions": [{
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": spreadsheet_url
+                        }],
+                        "tag": "action"
+                    }
+                ],
+                "header": {
+                    "title": {"content": "数据同步完成通知", "tag": "plain_text"},
+                    "template": "green"
+                }
+            }
+        }
+    else:
+        payload = {"msg_type": "text", "content": {"text": message}}
+
+    for attempt in range(retry):
+        try:
+            response = requests.post(webhook_url, headers=headers, data=json.dumps(payload), timeout=10)
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            logging.warning(f"飞书消息发送失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2)  # 等待后重试
+    raise Exception(f"飞书消息发送失败，重试{retry}次后仍不成功")
+
+
+if __name__ == '__main__':
+    # 配置参数
+    SPREADSHEET_ID = "MIqssvuB3h3XmgtkI26cBX7Angc"
+    WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/d82e4ada-8f78-40ae-b98e-75af0c448c95"
+
+    try:
+        logging.info("开始数据同步流程...")
+
+        # 1. 从数据库获取数据
+        df = fetch_data_from_db()
+        logging.info(f"成功获取{len(df)}条车辆数据")
+
+        # 2. 处理数据
+        df['active_date'] = pd.to_datetime(df['active_date'], errors='coerce')
+        active_df = df[df['active_status'] == 'active']
+        logging.info(f"有效激活数据: {len(active_df)}条")
+
+        # 3. 按天统计激活数
+        daily_count = active_df.groupby(active_df['active_date'].dt.date).size().reset_index(name='active_count')
+        values = [[str(d), str(c)] for d, c in daily_count.values.tolist()]  # 确保值为字符串类型
+        logging.info(f"生成{len(values)}条日期统计记录")
+
+        # 4. 覆盖写入多维表格
+        response = overwrite_data(SPREADSHEET_ID, values)
+        if response.status_code == 200:
+            logging.info("数据成功写入飞书多维表格")
+
+            # 5. 构建通知消息
+            current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+            today_count = daily_count[daily_count['active_date'] == datetime.now().date()]
+            weekly_count = daily_count[daily_count['active_date'] >= (datetime.now() - pd.Timedelta(days=7)).date()]
+
+            stats_summary = f"• 今日激活车辆: {today_count['active_count'].values[0] if not today_count.empty else 0}\n"
+            stats_summary += f"• 本周激活车辆: {weekly_count['active_count'].sum()}\n"
+            stats_summary += f"• 累计激活车辆: {len(active_df)}"
+
+            message = f"🚗 车辆数据同步完成 ✅\n"
+            message += f"⏰ 时间: {current_time}\n"
+            message += f"📊 统计摘要:\n{stats_summary}\n"
+
+            # 6. 发送包含多维表格链接的通知
+            result = send_feishu_message(WEBHOOK_URL, message, SPREADSHEET_ID)
+            logging.info(f"飞书消息发送成功: {result}")
+        else:
+            error_msg = f"表格写入失败: {response.status_code} - {response.text}"
+            logging.error(error_msg)
+            error_message = f"❌ 数据同步失败\n{error_msg}"
+            send_feishu_message(WEBHOOK_URL, error_message)
+
+    except Exception as e:
+        error_message = f"❌ 数据同步异常: {str(e)}"
+        logging.exception("程序执行异常")
+        send_feishu_message(WEBHOOK_URL, error_message)

hang/demo06093.py

@@ -0,0 +1,336 @@
+import pandas as pd
+import requests
+import json
+import logging
+import time
+from datetime import datetime, timedelta, date
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
+
+
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": "cli_a8b50ec0eed1500d", "app_secret": "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def read_daily_data(spreadsheet_token, sheet_id, retry=3):
+    """从飞书电子表格读取日统计数据"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{spreadsheet_token}/values/{sheet_id}"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.get(url, headers=headers, timeout=30)
+            response.raise_for_status()
+            resp_data = response.json()
+
+            if resp_data.get("code") != 0:
+                raise Exception(f"API错误: {resp_data.get('msg')}")
+
+            # 解析数据：跳过标题行，只取日期和激活数量
+            values = resp_data['data']['valueRange']['values'][1:]
+            daily_data = []
+            for row in values:
+                try:
+                    date_str = row[0]
+                    count = int(row[1])
+                    # 转换日期格式
+                    date_obj = datetime.strptime(date_str, "%Y-%m-%d").date()
+                    daily_data.append({"date": date_obj, "count": count})
+                except (IndexError, ValueError) as e:
+                    logging.warning(f"数据格式错误: {row} - {str(e)}")
+            return daily_data
+        except Exception as e:
+            logging.warning(f"读取飞书表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2 ** attempt)  # 指数退避重试
+    raise Exception(f"读取飞书表格失败，重试{retry}次后仍不成功")
+
+
+def write_weekly_data(base_token, table_id, records, retry=3):
+    """写入数据到飞书多维表格（周统计）"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{base_token}/tables/{table_id}/records/batch_create"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 构建API请求体
+    payload = {"records": []}
+    for row in records:
+        try:
+            # === 关键修复：使用毫秒时间戳格式（飞书官方要求）[3,8](@ref) ===
+            # 注意：需要将date对象转换为datetime对象（设置时间为00:00:00）
+            start_dt = datetime.combine(row['week_start'], datetime.min.time())
+            end_dt = datetime.combine(row['week_end'], datetime.min.time())
+
+            start_timestamp = int(start_dt.timestamp() * 1000)
+            end_timestamp = int(end_dt.timestamp() * 1000)
+
+            payload["records"].append({
+                "fields": {
+                    "周数": str(row['week_number']),
+                    "周开始日期": start_timestamp,  # 时间戳格式[3,8](@ref)
+                    "周结束日期": end_timestamp,  # 时间戳格式[3,8](@ref)
+                    "激活数量": int(row['active_count'])
+                }
+            })
+        except Exception as e:
+            logging.error(f"记录格式错误: {row} - {str(e)}")
+
+    # 处理空记录情况
+    if not payload["records"]:
+        logging.warning("没有有效记录可写入多维表格")
+        return None
+
+    # 分批写入（每次最多100条）
+    batch_size = 100
+    success_count = 0
+    for i in range(0, len(payload["records"]), batch_size):
+        batch = payload["records"][i:i + batch_size]
+        batch_payload = {"records": batch}
+        batch_success = False  # 标记批次是否成功
+
+        for attempt in range(retry):
+            try:
+                response = requests.post(url, json=batch_payload, headers=headers, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    if not batch_success:  # 仅首次成功时计数
+                        success_count += len(batch)
+                        batch_success = True
+                        logging.info(f"成功写入批次 {i // batch_size + 1}: {len(batch)}条记录")
+                    break  # 成功则跳出重试循环
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    error_code = resp_data.get("code", "")
+
+                    # 添加详细的错误诊断[3,8](@ref)
+                    if error_code == "DatetimeFieldConvFail":
+                        logging.error(f"日期字段转换失败: 请检查多维表格中日期字段类型配置[3,8](@ref)")
+                        # 记录导致错误的字段值
+                        logging.error(f"问题记录示例: 周开始日期={start_timestamp}, 周结束日期={end_timestamp}")
+                    elif error_code == "TextFieldConvFail":
+                        logging.error(f"文本字段转换失败: 请检查数字字段是否包含非数字字符")
+                    elif error_code == "FieldNameNotFound":
+                        logging.error(f"字段未找到: 请检查字段名称是否与多维表格一致")
+
+                    # 添加详细错误日志
+                    if 'data' in resp_data and 'errors' in resp_data['data']:
+                        logging.error(f"详细错误信息: {resp_data['data']['errors']}")
+
+                    logging.warning(f"飞书多维表格API错误(尝试 {attempt + 1}/{retry}): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"网络错误(尝试 {attempt + 1}/{retry}): {str(e)}")
+                time.sleep(2 ** attempt)
+
+        if not batch_success:
+            logging.error(f"批次 {i // batch_size + 1} 写入失败")
+
+    return success_count
+
+
+def calculate_iso_week(date):
+    """计算ISO周数（处理跨年）"""
+    # 获取ISO年份和周数
+    iso_year, iso_week, iso_day = date.isocalendar()
+
+    # 处理跨年情况
+    if iso_week == 1 and date.month == 12:
+        return f"{iso_year}-W{iso_week:02d}"
+    elif iso_week >= 52 and date.month == 1:
+        return f"{date.year - 1}-W{iso_week:02d}"
+    else:
+        return f"{date.year}-W{iso_week:02d}"
+
+
+def calculate_week_range(date):
+    """计算所在周的周一和周日日期（ISO标准）"""
+    # 计算周一 (0=Monday, 6=Sunday)
+    start_date = date - timedelta(days=date.weekday())
+    end_date = start_date + timedelta(days=6)
+    return start_date, end_date
+
+
+def send_feishu_message(webhook_url, message, daily_url=None, weekly_url=None, retry=2):
+    """发送飞书通知"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    elements = [
+        {
+            "tag": "div",
+            "text": {"content": message, "tag": "lark_md"}
+        }
+    ]
+
+    actions = []
+
+    # 添加日统计表格按钮
+    if daily_url:
+        actions.append({
+            "tag": "button",
+            "text": {"content": "查看日统计", "tag": "plain_text"},
+            "type": "default",
+            "url": daily_url
+        })
+
+    # 添加周统计表格按钮
+    if weekly_url:
+        actions.append({
+            "tag": "button",
+            "text": {"content": "查看周统计", "tag": "plain_text"},
+            "type": "primary",
+            "url": weekly_url
+        })
+
+    if actions:
+        elements.append({
+            "tag": "action",
+            "actions": actions
+        })
+
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": elements,
+            "header": {
+                "title": {"content": "数据同步完成通知", "tag": "plain_text"},
+                "template": "green"
+            }
+        }
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.post(webhook_url, headers=headers, json=payload, timeout=10)
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            logging.warning(f"飞书消息发送失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2)  # 等待后重试
+    raise Exception(f"飞书消息发送失败，重试{retry}次后仍不成功")
+
+
+if __name__ == '__main__':
+    # 配置参数
+    DAILY_SPREADSHEET_ID = "MIqssvuB3h3XmgtkI26cBX7Angc"  # 日统计电子表格ID
+    DAILY_SHEET_ID = "46ea20"  # 日统计工作表ID
+    WEEKLY_BASE_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 周统计多维表格ID
+    WEEKLY_TABLE_ID = "tbloB11YuVOSdi9e"  # 周统计表ID
+    WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/d82e4ada-8f78-40ae-b98e-75af0c448c95"
+
+    # 表格链接
+    DAILY_URL = "https://my-ichery.feishu.cn/sheets/MIqssvuB3h3XmgtkI26cBX7Angc?sheet=46ea20&table=tblKYOLYYl1CFwn9&view=vews5Ash0A"
+    WEEKLY_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?table=tbloB11YuVOSdi9e&view=vewFl6lbpB"
+
+    try:
+        logging.info("开始周统计计算流程...")
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+        # 1. 从飞书日统计表读取数据
+        daily_data = read_daily_data(DAILY_SPREADSHEET_ID, DAILY_SHEET_ID)
+        logging.info(f"成功读取{len(daily_data)}条日统计记录")
+
+        # 2. 计算周统计数据（处理跨年）
+        weekly_stats = {}
+        for entry in daily_data:
+            date = entry['date']
+            count = entry['count']
+
+            # 计算ISO周数（处理跨年）
+            week_number = calculate_iso_week(date)
+
+            # 计算周范围
+            week_start, week_end = calculate_week_range(date)
+
+            # 初始化周统计
+            if week_number not in weekly_stats:
+                weekly_stats[week_number] = {
+                    'week_number': week_number,
+                    'week_start': week_start,
+                    'week_end': week_end,
+                    'active_count': 0
+                }
+
+            # 累加激活数量
+            weekly_stats[week_number]['active_count'] += count
+
+        # 转换为列表并排序
+        weekly_list = sorted(weekly_stats.values(), key=lambda x: x['week_start'])
+        logging.info(f"生成{len(weekly_list)}条周统计记录（含跨年处理）")
+
+        # 3. 准备写入数据
+        weekly_values = []
+        for week in weekly_list:
+            weekly_values.append({
+                'week_number': week['week_number'],
+                'week_start': week['week_start'],
+                'week_end': week['week_end'],
+                'active_count': week['active_count']
+            })
+
+        # 4. 写入周统计表（分批处理）
+        success_count = write_weekly_data(WEEKLY_BASE_TOKEN, WEEKLY_TABLE_ID, weekly_values)
+        if success_count != len(weekly_values):
+            raise Exception(f"周统计写入失败: 成功写入{success_count}条，总记录{len(weekly_values)}条")
+        logging.info(f"成功写入{success_count}条周统计记录到飞书多维表格")
+
+        # 5. 构建通知消息
+        today = datetime.now().date()
+        current_week_number = calculate_iso_week(today)
+
+        stats_summary = f"• 本周({current_week_number})激活车辆: {weekly_stats.get(current_week_number, {}).get('active_count', 0)}\n"
+        stats_summary += f"• 累计激活车辆: {sum(week['active_count'] for week in weekly_list)}\n"
+
+        # 添加最新周统计摘要
+        if weekly_list:
+            latest_week = weekly_list[-1]
+            stats_summary += f"• 最新一周({latest_week['week_number']}): {latest_week['week_start'].strftime('%Y-%m-%d')}至{latest_week['week_end'].strftime('%Y-%m-%d')}, 激活{latest_week['active_count']}辆"
+
+        message = f"📅 周统计计算完成 ✅\n"
+        message += f"⏰ 时间: {current_time}\n"
+        message += f"📊 统计摘要:\n{stats_summary}\n"
+        message += f"📝 处理结果: 成功处理{len(daily_data)}条日记录 → 生成{len(weekly_list)}条周记录"
+
+        # 6. 发送通知
+        result = send_feishu_message(
+            WEBHOOK_URL,
+            message,
+            daily_url=DAILY_URL,
+            weekly_url=WEEKLY_URL
+        )
+        logging.info(f"飞书消息发送成功: {result}")
+
+    except Exception as e:
+        error_message = f"❌ 周统计计算异常: {str(e)}"
+        logging.exception("程序执行异常")
+        send_feishu_message(WEBHOOK_URL, error_message)

hang/demo0610.py

@@ -0,0 +1,213 @@
+import pandas as pd
+import requests
+import json
+from datetime import datetime
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+import logging
+import time  # 新增用于消息重试延迟
+
+# ================== 飞书配置 ==================
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 飞书多维表格配置
+SPREADSHEET_ID = "MIqssvuB3h3XmgtkI26cBX7Angc"  # 表格ID
+SHEET_NAME = "46ea20"  # 工作表名称
+
+# 飞书机器人Webhook
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+
+# ================== 数据库配置 ==================
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# ================== 其他配置 ==================
+# 创建SQLAlchemy引擎（解决pandas警告问题）
+safe_password = quote_plus(DB_CONFIG['password'])
+engine = create_engine(
+    f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+    pool_recycle=3600,
+    pool_pre_ping=True,
+    pool_size=5,
+    max_overflow=10
+)
+
+# 配置日志
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+# ================== 功能函数 ==================
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        if response.json().get("code") == 0:
+            return response.json()["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {response.text}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+def overwrite_data(spreadsheet_token, values, access_token=None):
+    """覆盖写入数据到飞书多维表格"""
+    if not access_token:
+        access_token = get_access_token()
+
+    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{spreadsheet_token}/values"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    row_count = len(values) + 1
+    range_str = f"{SHEET_NAME}!A1:B{row_count}"  # 使用配置的工作表名称
+
+    post_data = {
+        "valueRange": {
+            "range": range_str,
+            "values": values
+        }
+    }
+
+    try:
+        response = requests.put(url, json=post_data, headers=headers, timeout=15)
+        response.raise_for_status()
+        return response
+    except Exception as e:
+        logging.error(f"写入飞书表格失败: {str(e)}")
+        raise
+
+def fetch_data_from_db():
+    """从数据库执行SQL查询获取数据"""
+    try:
+        sql_query = """
+        SELECT 
+            v_vehicle_info.VIN AS car_vins,
+            CASE v_sim_info.STATE 
+                WHEN 2 THEN 'active' 
+                ELSE 'no_active' 
+            END AS active_status,
+            v_vehicle_info.MATERIAL_ID as MATERIAL,
+            v_vehicle_info.SALES_TERRITORY as Area,
+            v_sim_info.ACTIVATION_DATE as active_date
+        FROM v_vehicle_info
+        JOIN v_tbox_info USING (VIN)
+        JOIN v_sim_info USING (SN);
+        """
+        return pd.read_sql(sql_query, engine)
+    except Exception as e:
+        logging.error(f"数据库查询失败: {str(e)}")
+        raise
+
+def send_feishu_message(webhook_url, message, spreadsheet_token=None, retry=2):
+    """
+    通过Webhook发送飞书消息，支持添加多维表格链接
+    :param webhook_url: 机器人Webhook地址
+    :param message: 要发送的文本内容
+    :param spreadsheet_token: 多维表格ID（可选）
+    :param retry: 重试次数
+    """
+    headers = {'Content-Type': 'application/json'}
+
+    # 如果有提供多维表格ID，添加表格链接按钮
+    if spreadsheet_token:
+        spreadsheet_url = f"https://my-ichery.feishu.cn/sheets/{spreadsheet_token}"
+        payload = {
+            "msg_type": "interactive",
+            "card": {
+                "config": {"wide_screen_mode": True},
+                "elements": [
+                    {
+                        "tag": "div",
+                        "text": {"content": message, "tag": "lark_md"}
+                    },
+                    {
+                        "actions": [{
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": spreadsheet_url
+                        }],
+                        "tag": "action"
+                    }
+                ],
+                "header": {
+                    "title": {"content": "数据同步完成通知", "tag": "plain_text"},
+                    "template": "green"
+                }
+            }
+        }
+    else:
+        payload = {"msg_type": "text", "content": {"text": message}}
+
+    for attempt in range(retry):
+        try:
+            response = requests.post(webhook_url, headers=headers, data=json.dumps(payload), timeout=10)
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            logging.warning(f"飞书消息发送失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2)  # 等待后重试
+    raise Exception(f"飞书消息发送失败，重试{retry}次后仍不成功")
+
+# ================== 主程序 ==================
+if __name__ == '__main__':
+    try:
+        logging.info("开始数据同步流程...")
+
+        # 1. 从数据库获取数据
+        df = fetch_data_from_db()
+        logging.info(f"成功获取{len(df)}条车辆数据")
+
+        # 2. 处理数据
+        df['active_date'] = pd.to_datetime(df['active_date'], errors='coerce')
+        active_df = df[df['active_status'] == 'active']
+        logging.info(f"有效激活数据: {len(active_df)}条")
+
+        # 3. 按天统计激活数
+        daily_count = active_df.groupby(active_df['active_date'].dt.date).size().reset_index(name='active_count')
+        values = [[str(d), str(c)] for d, c in daily_count.values.tolist()]  # 确保值为字符串类型
+        logging.info(f"生成{len(values)}条日期统计记录")
+
+        # 4. 覆盖写入多维表格
+        response = overwrite_data(SPREADSHEET_ID, values)
+        if response.status_code == 200:
+            logging.info("数据成功写入飞书多维表格")
+
+            # 5. 构建通知消息
+            current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+            today_count = daily_count[daily_count['active_date'] == datetime.now().date()]
+            weekly_count = daily_count[daily_count['active_date'] >= (datetime.now() - pd.Timedelta(days=7)).date()]
+
+            stats_summary = f"• 今日激活车辆: {today_count['active_count'].values[0] if not today_count.empty else 0}\n"
+            stats_summary += f"• 本周激活车辆: {weekly_count['active_count'].sum()}\n"
+            stats_summary += f"• 累计激活车辆: {len(active_df)}"
+
+            message = f"🚗 车辆数据同步完成 ✅\n"
+            message += f"⏰ 时间: {current_time}\n"
+            message += f"📊 统计摘要:\n{stats_summary}\n"
+
+            # 6. 发送包含多维表格链接的通知
+            result = send_feishu_message(WEBHOOK_URL, message, SPREADSHEET_ID)
+            logging.info(f"飞书消息发送成功: {result}")
+        else:
+            error_msg = f"表格写入失败: {response.status_code} - {response.text}"
+            logging.error(error_msg)
+            error_message = f"❌ 数据同步失败\n{error_msg}"
+            send_feishu_message(WEBHOOK_URL, error_message)
+
+    except Exception as e:
+        error_message = f"❌ 数据同步异常: {str(e)}"
+        logging.exception("程序执行异常")
+        send_feishu_message(WEBHOOK_URL, error_message)

hang/demo061002.py

@@ -0,0 +1,411 @@
+import requests
+import logging
+import time
+from datetime import datetime, timedelta, date
+
+# ====================== 配置区域 ======================
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 日统计表格配置
+DAILY_SPREADSHEET_ID = "MIqssvuB3h3XmgtkI26cBX7Angc"  # 日统计电子表格ID
+DAILY_SHEET_ID = "46ea20"  # 日统计工作表ID
+DAILY_URL = "https://my-ichery.feishu.cn/sheets/MIqssvuB3h3XmgtkI26cBX7Angc?sheet=46ea20"  # 日统计表格链接
+
+# 周统计表格配置
+WEEKLY_BASE_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 周统计多维表格ID
+WEEKLY_TABLE_ID = "tbloB11YuVOSdi9e"  # 周统计表ID
+WEEKLY_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?table=tbloB11YuVOSdi9e"  # 周统计表格链接
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+
+# ====================== 日志配置 ======================
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
+
+
+def get_access_token():
+    """获取飞书访问令牌[1,3](@ref)"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def read_daily_data(retry=3):
+    """从飞书电子表格读取日统计数据[1,3](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{DAILY_SPREADSHEET_ID}/values/{DAILY_SHEET_ID}"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.get(url, headers=headers, timeout=30)
+            response.raise_for_status()
+            resp_data = response.json()
+
+            if resp_data.get("code") != 0:
+                raise Exception(f"API错误: {resp_data.get('msg')}")
+
+            # 解析数据：跳过标题行，只取日期和激活数量
+            values = resp_data['data']['valueRange']['values'][1:]
+            daily_data = []
+            for row in values:
+                try:
+                    date_str = row[0]
+                    count = int(row[1])
+                    date_obj = datetime.strptime(date_str, "%Y-%m-%d").date()
+                    daily_data.append({"date": date_obj, "count": count})
+                except (IndexError, ValueError) as e:
+                    logging.warning(f"数据格式错误: {row} - {str(e)}")
+            return daily_data
+        except Exception as e:
+            logging.warning(f"读取飞书表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2 ** attempt)  # 指数退避重试
+    raise Exception(f"读取飞书表格失败，重试{retry}次后仍不成功")
+
+
+def clear_weekly_table(retry=3):
+    """清空周统计表（覆盖写入前的准备）[3,5](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 获取所有记录ID
+    record_ids = []
+    page_token = ""
+
+    while True:
+        params = {"page_size": 100}
+        if page_token:
+            params["page_token"] = page_token
+
+        response = requests.get(url, headers=headers, params=params, timeout=30)
+        resp_data = response.json()
+
+        if resp_data.get("code") != 0:
+            raise Exception(f"获取记录失败: {resp_data.get('msg')}")
+
+        # 收集所有记录的ID
+        for record in resp_data.get("data", {}).get("items", []):
+            record_ids.append(record["record_id"])
+
+        # 检查是否有更多数据
+        if resp_data["data"].get("has_more"):
+            page_token = resp_data["data"].get("page_token", "")
+        else:
+            break
+
+    if not record_ids:
+        logging.info("周统计表为空，无需清除")
+        return True
+
+    logging.info(f"获取到{len(record_ids)}条记录待删除")
+
+    # 批量删除所有记录
+    delete_url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records/batch_delete"
+
+    # 分批删除（每次最多100条）[3](@ref)
+    batch_size = 100
+    for i in range(0, len(record_ids), batch_size):
+        batch_ids = record_ids[i:i + batch_size]
+        payload = {"records": batch_ids}
+
+        for attempt in range(retry):
+            try:
+                response = requests.post(delete_url, json=payload, headers=headers, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    logging.info(f"成功删除批次 {i // batch_size + 1}: {len(batch_ids)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    logging.warning(f"删除记录失败(尝试 {attempt + 1}/{retry}): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"删除记录网络错误(尝试 {attempt + 1}/{retry}): {str(e)}")
+                time.sleep(2 ** attempt)
+
+    return True
+
+
+def write_weekly_data(records, retry=3):
+    """覆盖写入数据到飞书多维表格（周统计）[3,5](@ref)"""
+    access_token = get_access_token()
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{WEEKLY_BASE_TOKEN}/tables/{WEEKLY_TABLE_ID}/records/batch_create"
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 构建API请求体
+    payload = {"records": []}
+    for row in records:
+        try:
+            # 使用毫秒时间戳格式（飞书官方要求）[3](@ref)
+            start_dt = datetime.combine(row['week_start'], datetime.min.time())
+            end_dt = datetime.combine(row['week_end'], datetime.min.time())
+
+            start_timestamp = int(start_dt.timestamp() * 1000)
+            end_timestamp = int(end_dt.timestamp() * 1000)
+
+            payload["records"].append({
+                "fields": {
+                    "周数": str(row['week_number']),
+                    "周开始日期": start_timestamp,
+                    "周结束日期": end_timestamp,
+                    "激活数量": int(row['active_count'])
+                }
+            })
+        except Exception as e:
+            logging.error(f"记录格式错误: {row} - {str(e)}")
+
+    # 处理空记录情况
+    if not payload["records"]:
+        logging.warning("没有有效记录可写入多维表格")
+        return 0
+
+    # 分批写入（每次最多100条）[3](@ref)
+    batch_size = 100
+    success_count = 0
+    for i in range(0, len(payload["records"]), batch_size):
+        batch = payload["records"][i:i + batch_size]
+        batch_payload = {"records": batch}
+        batch_success = False
+
+        for attempt in range(retry):
+            try:
+                response = requests.post(url, json=batch_payload, headers=headers, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    if not batch_success:
+                        success_count += len(batch)
+                        batch_success = True
+                        logging.info(f"成功写入批次 {i // batch_size + 1}: {len(batch)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    error_code = resp_data.get("code", "")
+
+                    # 错误诊断[3](@ref)
+                    if error_code == "DatetimeFieldConvFail":
+                        logging.error("日期字段转换失败: 请检查多维表格中日期字段类型配置")
+                    elif error_code == "TextFieldConvFail":
+                        logging.error("文本字段转换失败: 请检查数字字段是否包含非数字字符")
+
+                    logging.warning(f"飞书API错误(尝试 {attempt + 1}/{retry}): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"网络错误(尝试 {attempt + 1}/{retry}): {str(e)}")
+                time.sleep(2 ** attempt)
+
+        if not batch_success:
+            logging.error(f"批次 {i // batch_size + 1} 写入失败")
+
+    return success_count
+
+
+def calculate_iso_week(date):
+    """计算ISO周数（处理跨年）"""
+    iso_year, iso_week, iso_day = date.isocalendar()
+    return f"{iso_year}-W{iso_week:02d}"
+
+
+def calculate_week_range(date):
+    """计算所在周的周一和周日日期（ISO标准）"""
+    start_date = date - timedelta(days=date.weekday())
+    end_date = start_date + timedelta(days=6)
+    return start_date, end_date
+
+
+def send_feishu_message(message, retry=2):
+    """发送飞书通知[6,7,8](@ref)"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看日统计", "tag": "plain_text"},
+                            "type": "default",
+                            "url": DAILY_URL
+                        },
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看周统计", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": WEEKLY_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "数据同步完成通知", "tag": "plain_text"},
+                "template": "green"
+            }
+        }
+    }
+
+    for attempt in range(retry):
+        try:
+            response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            logging.warning(f"飞书消息发送失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+            if attempt < retry - 1:
+                time.sleep(2)  # 等待后重试
+    raise Exception(f"飞书消息发送失败，重试{retry}次后仍不成功")
+
+
+if __name__ == '__main__':
+    try:
+        logging.info("开始周统计计算流程...")
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+        # 1. 从飞书日统计表读取数据
+        daily_data = read_daily_data()
+        logging.info(f"成功读取{len(daily_data)}条日统计记录")
+
+        # 2. 计算周统计数据（处理跨年）
+        weekly_stats = {}
+        for entry in daily_data:
+            date = entry['date']
+            count = entry['count']
+            week_number = calculate_iso_week(date)
+            week_start, week_end = calculate_week_range(date)
+
+            if week_number not in weekly_stats:
+                weekly_stats[week_number] = {
+                    'week_number': week_number,
+                    'week_start': week_start,
+                    'week_end': week_end,
+                    'active_count': 0
+                }
+            weekly_stats[week_number]['active_count'] += count
+
+        # 转换为列表并排序
+        weekly_list = sorted(weekly_stats.values(), key=lambda x: x['week_start'])
+        logging.info(f"生成{len(weekly_list)}条周统计记录")
+
+        # 3. 覆盖写入周统计表
+        # 先清空表
+        if not clear_weekly_table():
+            raise Exception("清空周统计表失败")
+        logging.info("成功清空周统计表")
+
+        # 再写入新数据
+        success_count = write_weekly_data(weekly_list)
+        if success_count != len(weekly_list):
+            raise Exception(f"周统计写入失败: 成功写入{success_count}条，总记录{len(weekly_list)}条")
+        logging.info(f"成功覆盖写入{success_count}条周统计记录")
+
+        # 4. 构建通知消息
+        today = datetime.now().date()
+        current_week_number = calculate_iso_week(today)
+
+        stats_summary = f"• 本周({current_week_number})激活车辆: {weekly_stats.get(current_week_number, {}).get('active_count', 0)}\n"
+        stats_summary += f"• 累计激活车辆: {sum(week['active_count'] for week in weekly_list)}\n"
+
+        if weekly_list:
+            latest_week = weekly_list[-1]
+            stats_summary += f"• 最新一周({latest_week['week_number']}): {latest_week['week_start'].strftime('%Y-%m-%d')}至{latest_week['week_end'].strftime('%Y-%m-%d')}, 激活{latest_week['active_count']}辆"
+
+        message = f"📅 周统计计算完成 ✅\n"
+        message += f"⏰ 时间: {current_time}\n"
+        message += f"📊 统计摘要:\n{stats_summary}\n"
+        message += f"📝 处理结果: 成功处理{len(daily_data)}条日记录 → 生成{len(weekly_list)}条周记录"
+        # 5. 构建通知消息
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+        # 新增统计维度计算
+        today = datetime.now().date()
+        yesterday = today - timedelta(days=1)
+        current_week_start = today - timedelta(days=today.weekday())
+        current_week_end = current_week_start + timedelta(days=6)
+        last_week_start = current_week_start - timedelta(days=7)
+        last_week_end = last_week_start + timedelta(days=6)
+        three_months_ago = today - timedelta(days=90)
+
+        # 计算昨日数据
+        yesterday_count = next((d['count'] for d in daily_data if d['date'] == yesterday), 0)
+
+        # 计算今日数据
+        today_count = next((d['count'] for d in daily_data if d['date'] == today), 0)
+
+        # 计算本周数据（当前周）
+        current_week_number = calculate_iso_week(today)
+        current_week_total = weekly_stats.get(current_week_number, {}).get('active_count', 0)
+
+        # 计算上周数据
+        last_week_number = calculate_iso_week(last_week_start)
+        last_week_total = weekly_stats.get(last_week_number, {}).get('active_count', 0)
+
+        # 计算最近三个月数据
+        recent_three_months = sum(
+            d['count'] for d in daily_data
+            if three_months_ago <= d['date'] <= today
+        )
+
+        # 计算累计数据
+        total_count = sum(d['count'] for d in daily_data)
+
+        # 构建统计摘要
+        stats_summary = f"• 今日激活: {today_count}\n"
+        stats_summary += f"• 昨日激活: {yesterday_count}\n"
+        stats_summary += f"• 本周激活: {current_week_total}\n"
+        stats_summary += f"• 上周激活: {last_week_total}\n"
+        stats_summary += f"• 近三月激活: {recent_three_months}\n"
+        stats_summary += f"• 累计激活: {total_count}\n"
+
+        # # 添加最新周统计摘要
+        # if weekly_list:
+        #     latest_week = weekly_list[-1]
+        #     stats_summary += f"• 最新一周({latest_week['week_number']}): {latest_week['active_count']}辆"
+
+        message = f"📅欧盟O&J统计计算完成 ✅\n"
+        message += f"⏰ 时间: {current_time}\n"
+        message += f"📊 统计摘要:\n{stats_summary}\n"
+        message += f"📝 处理结果: 成功处理{len(daily_data)}条日记录 → 生成{len(weekly_list)}条周记录"
+        # 5. 发送通知
+        result = send_feishu_message(message)
+        logging.info(f"飞书消息发送成功: {result}")
+
+    except Exception as e:
+        error_message = f"❌ 周统计计算异常: {str(e)}"
+        logging.exception("程序执行异常")
+        send_feishu_message(error_message)

hang/demo061003.py

@@ -0,0 +1,358 @@
+import pandas as pd
+import requests
+import logging
+import time
+import json
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+from datetime import datetime
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(essage)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
+
+# ====================== 全局配置 ======================
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# 飞书多维表格配置
+FEISHU_APP_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 应用Token
+FEISHU_TABLE_ID = "tbloPJHLc05MHIAY"  # 表格ID
+VIN_FIELD_NAME = "车架号"  # VIN字段名称
+ACTIVE_FIELD_NAME = "激活状态"  # 激活状态字段名称
+
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+MULTI_TABLE_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?from=from_copylink"
+
+
+# ====================== 通用函数 ======================
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def send_feishu_message(message):
+    """发送飞书通知[9,10](@ref)"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": MULTI_TABLE_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "车辆状态同步报告", "tag": "plain_text"},
+                "template": "blue"
+            }
+        }
+    }
+
+    try:
+        response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        logging.error(f"飞书消息发送失败: {str(e)}")
+        return None
+
+
+# ====================== 车辆激活状态同步 ======================
+def read_feishu_records(app_token, table_id, retry=3):
+    """从飞书多维表格读取车辆记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records"
+    params = {"page_size": 500}  # 单次请求最大记录数
+
+    all_records = []
+    page_token = None
+
+    while True:
+        if page_token:
+            params["page_token"] = page_token
+
+        records_fetched = False
+        for attempt in range(retry):
+            try:
+                response = requests.get(url, headers=headers, params=params, timeout=30)
+                response.raise_for_status()
+                resp_data = response.json()
+
+                if resp_data.get("code") != 0:
+                    raise Exception(f"API错误: {resp_data.get('msg')}")
+
+                records = resp_data["data"]["items"]
+                all_records.extend(records)
+
+                # 检查是否有下一页
+                if "page_token" in resp_data["data"] and resp_data["data"]["has_more"]:
+                    page_token = resp_data["data"]["page_token"]
+                else:
+                    page_token = None
+
+                records_fetched = True
+                break
+            except Exception as e:
+                logging.warning(f"读取多维表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+                if attempt < retry - 1:
+                    time.sleep(2 ** attempt)
+
+        if not records_fetched:
+            raise Exception("无法读取多维表格数据")
+
+        if not page_token:
+            break
+
+    return all_records
+
+
+def fetch_activation_data():
+    """从数据库查询车辆激活状态"""
+    try:
+        # 创建SQLAlchemy引擎
+        safe_password = quote_plus(DB_CONFIG['password'])
+        engine = create_engine(
+            f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+            pool_recycle=3600
+        )
+
+        sql_query = """
+        SELECT 
+            v_vehicle_info.VIN AS car_vins,
+            CASE v_sim_info.STATE 
+                WHEN 2 THEN 'active' 
+                ELSE 'no_active' 
+            END AS active_status
+        FROM v_vehicle_info
+        JOIN v_tbox_info USING (VIN)
+        JOIN v_sim_info USING (SN);
+        """
+
+        # 执行查询并转换为DataFrame
+        df = pd.read_sql(sql_query, engine)
+        return df.set_index('car_vins')['active_status'].to_dict()
+
+    except Exception as e:
+        logging.error(f"数据库查询失败: {str(e)}")
+        raise
+
+
+def compare_and_update_records(app_token, table_id, activation_data):
+    """比较并更新飞书多维表格记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 1. 读取多维表格所有记录
+    feishu_records = read_feishu_records(app_token, table_id)
+    logging.info(f"成功读取{len(feishu_records)}条多维表格记录")
+
+    # 统计变量
+    total_updated = 0
+    activated_count = 0
+    not_activated_count = 0
+
+    # 2. 准备需要更新的记录
+    records_to_update = []
+
+    for record in feishu_records:
+        try:
+            record_id = record["record_id"]
+            fields = record.get("fields", {})
+
+            # 获取车架号(VIN)
+            vin = fields.get(VIN_FIELD_NAME)
+            if not vin:
+                logging.warning(f"记录 {record_id} 缺少VIN字段")
+                continue
+
+            # 获取多维表格中的激活状态
+            current_status = fields.get(ACTIVE_FIELD_NAME, "").lower()
+
+            # 获取数据库中的激活状态
+            db_status = activation_data.get(vin)
+            if not db_status:
+                logging.warning(f"VIN {vin} 在数据库中未找到")
+                continue
+
+            # 比较状态是否需要更新
+            if db_status != current_status:
+                records_to_update.append({
+                    "record_id": record_id,
+                    "fields": {
+                        ACTIVE_FIELD_NAME: db_status
+                    }
+                })
+                logging.info(f"VIN {vin} 状态需更新: {current_status} → {db_status}")
+
+                # 统计更新状态
+                if db_status == 'active':
+                    activated_count += 1
+                else:
+                    not_activated_count += 1
+
+        except Exception as e:
+            logging.error(f"处理记录异常: {record} - {str(e)}")
+
+    total_updated = len(records_to_update)
+    logging.info(f"需要更新{total_updated}条记录")
+    logging.info(f"更新统计: 激活车辆: {activated_count}台, 未激活车辆: {not_activated_count}台")
+
+    # 3. 批量更新记录 (每批次50条)
+    if not records_to_update:
+        logging.info("没有需要更新的记录")
+        return total_updated, activated_count, not_activated_count
+
+    batch_size = 50
+    success_count = 0
+
+    for i in range(0, len(records_to_update), batch_size):
+        batch = records_to_update[i:i + batch_size]
+        batch_payload = {"records": batch}
+
+        update_url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records/batch_update"
+
+        for attempt in range(3):  # 最多重试3次
+            try:
+                response = requests.post(update_url, headers=headers, json=batch_payload, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    success_count += len(batch)
+                    logging.info(f"成功更新批次 {i // batch_size + 1}: {len(batch)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    logging.warning(f"更新失败(尝试 {attempt + 1}/3): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"网络错误(尝试 {attempt + 1}/3): {str(e)}")
+                time.sleep(2 ** attempt)
+
+    logging.info(f"总计更新成功{success_count}条记录")
+    return total_updated, activated_count, not_activated_count
+
+
+def sync_vehicle_activation():
+    """执行车辆激活状态同步流程"""
+    try:
+        start_time = time.time()
+        logging.info("开始车辆激活状态同步流程...")
+
+        # 1. 从数据库获取激活状态数据
+        activation_data = fetch_activation_data()
+        logging.info(f"从数据库获取{len(activation_data)}条激活状态记录")
+
+        # 统计数据库中的激活状态
+        db_activated = sum(1 for status in activation_data.values() if status == 'active')
+        db_not_activated = sum(1 for status in activation_data.values() if status == 'no_active')
+        logging.info(f"数据库统计: 激活车辆: {db_activated}台, 未激活车辆: {db_not_activated}台")
+
+        # 2. 与飞书多维表格数据比对并更新
+        total_updated, activated_count, not_activated_count = compare_and_update_records(
+            FEISHU_APP_TOKEN, FEISHU_TABLE_ID, activation_data
+        )
+
+        # 3. 输出最终统计结果
+        logging.info("=" * 50)
+        logging.info(f"本次更新统计结果:")
+        logging.info(f"  - 更新车辆总数: {total_updated}台")
+        logging.info(f"  - 激活车辆数量: {activated_count}台")
+        logging.info(f"  - 未激活车辆数量: {not_activated_count}台")
+        logging.info("=" * 50)
+
+        # 4. 完成日志
+        elapsed_time = time.time() - start_time
+        logging.info(f"流程完成! 耗时: {elapsed_time:.2f}秒, 更新记录数: {total_updated}")
+
+        return {
+            "total_updated": total_updated,
+            "activated_count": activated_count,
+            "not_activated_count": not_activated_count,
+            "elapsed_time": elapsed_time
+        }
+
+    except Exception as e:
+        logging.error(f"流程执行异常: {str(e)}")
+        logging.exception("详细错误信息")
+        return None
+
+
+# ====================== 主执行流程 ======================
+if __name__ == '__main__':
+    # 执行车辆激活状态同步
+    sync_result = sync_vehicle_activation()
+
+    if sync_result:
+        # 构建飞书消息
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+        message = (
+            f"🚗 **车辆激活状态同步完成** ✅\n"
+            f"⏰ 同步时间: {current_time}\n"
+            f"⏱️ 处理耗时: {sync_result['elapsed_time']:.2f}秒\n\n"
+            f"📊 **同步统计结果:**\n"
+            f"• 更新车辆总数: {sync_result['total_updated']}台\n"
+            f"• ✅ 激活车辆数量: {sync_result['activated_count']}台\n"
+            f"• ❌ 未激活车辆数量: {sync_result['not_activated_count']}台\n\n"
+            f"🔗 查看多维表格: [点击访问]({MULTI_TABLE_URL})"
+        )
+
+        # 发送飞书通知
+        send_result = send_feishu_message(message)
+        if send_result:
+            logging.info(f"飞书消息发送成功: {send_result}")
+        else:
+            logging.error("飞书消息发送失败")
+    else:
+        error_message = "❌ 车辆激活状态同步失败，请检查日志"
+        send_feishu_message(error_message)
+        logging.error(error_message)

hang/demo2.py

@@ -0,0 +1,91 @@
+from datetime import datetime, timedelta
+import pandas as pd
+import pymysql
+from sqlalchemy import create_engine
+import requests
+import json
+
+
+# 1. 获取当前系统时间[1,3,6](@ref)
+def get_current_time():
+    """获取格式化的当前系统时间"""
+    return datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+
+# 2. 数据库查询（核心函数）
+def fetch_activation_data():
+    """获取激活车辆数据"""
+    connection_uri = f"mysql+pymysql://{DB_CONFIG['user']}:{DB_CONFIG['password']}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}"
+    engine = create_engine(connection_uri)
+
+    sql_query = """
+    SELECT 
+        v_sim_info.ACTIVATION_DATE as active_date
+    FROM v_vehicle_info
+    JOIN v_tbox_info USING (VIN)
+    JOIN v_sim_info USING (SN)
+    WHERE v_sim_info.STATE = 2;  -- 只查询激活状态车辆
+    """
+    return pd.read_sql(sql_query, engine)
+
+
+# 3. 统计计算
+def calculate_stats(df):
+    """计算多维统计指标"""
+    # 基础数据处理[1](@ref)
+    df['active_date'] = pd.to_datetime(df['active_date']).dt.date
+
+    # 本周统计（06-02至06-05）
+    start_week = datetime(2025, 6, 2).date()
+    end_week = datetime(2025, 6, 5).date()
+    weekly_data = df[(df['active_date'] >= start_week) & (df['active_date'] <= end_week)]
+
+    # 近三月统计（03-05至06-05）
+    start_3month = (datetime.now() - timedelta(days=90)).date()
+    monthly_data = df[df['active_date'] >= start_3month]
+
+    return {
+        "本周激活总数": len(weekly_data),
+        "本周每日激活": weekly_data.groupby('active_date').size().to_dict(),
+        "近三月激活总数": len(monthly_data),
+        "累计激活总数": len(df)
+    }
+
+
+# 4. 飞书机器人消息发送
+def send_feishu_report(stats):
+    """发送统计报告"""
+    message = f"🚗 **车辆激活统计报告**（{get_current_time()}）\n\n"
+    message += f"🔹 **本周激活总数**: {stats['本周激活总数']}辆\n"
+    message += "🔹 **本周每日激活**:\n"
+    for date, count in stats['本周每日激活'].items():
+        message += f" ▸ {date}: {count}辆\n"
+    message += f"\n🔹 **近三月激活总数**: {stats['近三月激活总数']}辆\n"
+    message += f"🔹 **累计激活总数**: {stats['累计激活总数']}辆"
+
+    requests.post(FEISHU_WEBHOOK_URL, json={
+        "msg_type": "text",
+        "content": {"text": message}
+    })
+
+
+# 主流程
+if __name__ == "__main__":
+    # 配置参数
+    FEISHU_WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/ff3726f6-d4e3-455b-ae65-bca471305733"
+    # 数据库连接
+    DB_CONFIG = {
+        'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+        'port': 3306,  # MySQL默认端口
+        'user': 'international_tsp_eu_r',
+        'password': 'ZXhBgo1TB2XbF3kP',
+        'database': 'chery_international_tsp_eu'
+    }
+
+    # 执行统计
+    df = fetch_activation_data()
+    stats = calculate_stats(df)
+
+    # 发送报告
+    send_feishu_report(stats)
+    print("✅ 统计报告已发送至飞书")

hang/italy-seek.py

@@ -0,0 +1,74 @@
+from datetime import datetime, timezone
+import os
+import csv
+
+# 设置路径参数
+base_dir = r'C:\Users\Administrator\Desktop\European Local O&M'
+result_dir = os.path.join(base_dir, 'italy_result')
+os.makedirs(result_dir, exist_ok=True)  # 自动创建目录
+
+# 获取日期
+current_date = datetime.now().strftime("%m%d")
+
+# 加载激活状态数据
+active_file = os.path.join(base_dir, f'all-active-{current_date}.csv.csv')  # 确保文件名正确
+active_status = {}
+
+with open(active_file, encoding='utf-8') as f:
+    csv_reader = csv.reader(f)
+    next(csv_reader)
+    for row in csv_reader:
+        vin = row[0].strip().upper()
+        status = row[1].strip().lower()
+        active_status[vin] = 'active' if status == 'active' else 'NO'
+
+# 加载需要核实的VIN列表
+vin_list = []
+with open(os.path.join(base_dir, 'eu516.csv'), 'r', encoding='utf-8') as f:
+    csv_reader = csv.reader(f)
+    next(csv_reader)
+    for row in csv_reader:
+        vin_list.append(row[0].strip().upper())
+
+# 输出文件路径
+output_all = os.path.join(result_dir, f'italy-result{current_date}.csv')
+output_no = os.path.join(result_dir, f'no-italy-result{current_date}.csv')
+
+# 写入意大利所有VIN的状态
+with open(output_all, 'w', newline='', encoding='utf-8') as f:
+    csv_writer = csv.writer(f)
+    csv_writer.writerow(['VIN', 'active-status'])
+    for vin in vin_list:
+        status = active_status.get(vin, 'NO')
+        csv_writer.writerow([vin, status])
+
+# 统计信息并生成未激活车辆清单
+activated_count = 0
+deactivated_count = 0
+
+# 当前UTC时间
+current_utc = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC")
+
+with open(output_all, encoding='utf-8') as f_in, \
+     open(output_no, 'w', newline='', encoding='utf-8') as f_out:
+
+    reader = csv.DictReader(f_in)
+    writer = csv.DictWriter(f_out, fieldnames=reader.fieldnames)
+    writer.writeheader()
+
+    for row in reader:
+        status = row['active-status'].strip().lower()
+        if status == 'active':
+            activated_count += 1
+        elif status == 'no':
+            deactivated_count += 1
+            writer.writerow(row)
+
+# 控制台输出统计信息
+print(f'''
+统计时间：{current_utc}
+激活车辆数：{activated_count}
+未激活车辆数：{deactivated_count}
+
+📁 所有结果已保存至：{result_dir}
+''')

hang/output/demo0611.py

@@ -0,0 +1,358 @@
+import pandas as pd
+import requests
+import logging
+import time
+import json
+from sqlalchemy import create_engine
+from urllib.parse import quote_plus
+from datetime import datetime
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(essage)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
+
+# ====================== 全局配置 ======================
+# 数据库连接配置
+DB_CONFIG = {
+    'host': 'eutsp-prod.mysql.germany.rds.aliyuncs.com',
+    'port': 3306,
+    'user': 'international_tsp_eu_r',
+    'password': 'ZXhBgo1TB2XbF3kP',
+    'database': 'chery_international_tsp_eu'
+}
+
+# 飞书多维表格配置
+FEISHU_APP_TOKEN = "T3QLbmpqma014ussjy9cgitqnSh"  # 应用Token
+FEISHU_TABLE_ID = "tbloPJHLc05MHIAY"  # 表格ID
+VIN_FIELD_NAME = "车架号"  # VIN字段名称
+ACTIVE_FIELD_NAME = "激活状态"  # 激活状态字段名称
+
+# 飞书应用凭证
+APP_ID = "cli_a8b50ec0eed1500d"
+APP_SECRET = "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK"
+
+# 飞书机器人配置
+WEBHOOK_URL = "https://open.feishu.cn/open-apis/bot/v2/hook/3bc45247-c469-47a0-bfe9-c62e46c5aca0"
+MULTI_TABLE_URL = "https://my-ichery.feishu.cn/base/T3QLbmpqma014ussjy9cgitqnSh?from=from_copylink"
+
+
+# ====================== 通用函数 ======================
+def get_access_token():
+    """获取飞书访问令牌"""
+    api_token_url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
+    api_post_data = {"app_id": APP_ID, "app_secret": APP_SECRET}
+    try:
+        response = requests.post(api_token_url, json=api_post_data, timeout=10)
+        response.raise_for_status()
+        resp_data = response.json()
+        if resp_data.get("code") == 0:
+            return resp_data["tenant_access_token"]
+        else:
+            raise Exception(f"获取Token失败: {resp_data.get('msg')}")
+    except Exception as e:
+        logging.error(f"获取飞书Token异常: {str(e)}")
+        raise
+
+
+def send_feishu_message(message):
+    """发送飞书通知[9,10](@ref)"""
+    headers = {'Content-Type': 'application/json'}
+
+    # 构建交互式卡片
+    payload = {
+        "msg_type": "interactive",
+        "card": {
+            "config": {"wide_screen_mode": True},
+            "elements": [
+                {
+                    "tag": "div",
+                    "text": {"content": message, "tag": "lark_md"}
+                },
+                {
+                    "tag": "action",
+                    "actions": [
+                        {
+                            "tag": "button",
+                            "text": {"content": "查看多维表格", "tag": "plain_text"},
+                            "type": "primary",
+                            "url": MULTI_TABLE_URL
+                        }
+                    ]
+                }
+            ],
+            "header": {
+                "title": {"content": "车辆状态同步报告", "tag": "plain_text"},
+                "template": "blue"
+            }
+        }
+    }
+
+    try:
+        response = requests.post(WEBHOOK_URL, headers=headers, json=payload, timeout=10)
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        logging.error(f"飞书消息发送失败: {str(e)}")
+        return None
+
+
+# ====================== 车辆激活状态同步 ======================
+def read_feishu_records(app_token, table_id, retry=3):
+    """从飞书多维表格读取车辆记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records"
+    params = {"page_size": 500}  # 单次请求最大记录数
+
+    all_records = []
+    page_token = None
+
+    while True:
+        if page_token:
+            params["page_token"] = page_token
+
+        records_fetched = False
+        for attempt in range(retry):
+            try:
+                response = requests.get(url, headers=headers, params=params, timeout=30)
+                response.raise_for_status()
+                resp_data = response.json()
+
+                if resp_data.get("code") != 0:
+                    raise Exception(f"API错误: {resp_data.get('msg')}")
+
+                records = resp_data["data"]["items"]
+                all_records.extend(records)
+
+                # 检查是否有下一页
+                if "page_token" in resp_data["data"] and resp_data["data"]["has_more"]:
+                    page_token = resp_data["data"]["page_token"]
+                else:
+                    page_token = None
+
+                records_fetched = True
+                break
+            except Exception as e:
+                logging.warning(f"读取多维表格失败(尝试 {attempt + 1}/{retry}): {str(e)}")
+                if attempt < retry - 1:
+                    time.sleep(2 ** attempt)
+
+        if not records_fetched:
+            raise Exception("无法读取多维表格数据")
+
+        if not page_token:
+            break
+
+    return all_records
+
+
+def fetch_activation_data():
+    """从数据库查询车辆激活状态"""
+    try:
+        # 创建SQLAlchemy引擎
+        safe_password = quote_plus(DB_CONFIG['password'])
+        engine = create_engine(
+            f"mysql+pymysql://{DB_CONFIG['user']}:{safe_password}@{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}",
+            pool_recycle=3600
+        )
+
+        sql_query = """
+        SELECT 
+            v_vehicle_info.VIN AS car_vins,
+            CASE v_sim_info.STATE 
+                WHEN 2 THEN 'active' 
+                ELSE 'no_active' 
+            END AS active_status
+        FROM v_vehicle_info
+        JOIN v_tbox_info USING (VIN)
+        JOIN v_sim_info USING (SN);
+        """
+
+        # 执行查询并转换为DataFrame
+        df = pd.read_sql(sql_query, engine)
+        return df.set_index('car_vins')['active_status'].to_dict()
+
+    except Exception as e:
+        logging.error(f"数据库查询失败: {str(e)}")
+        raise
+
+
+def compare_and_update_records(app_token, table_id, activation_data):
+    """比较并更新飞书多维表格记录"""
+    access_token = get_access_token()
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+        "Content-Type": "application/json; charset=utf-8",
+    }
+
+    # 1. 读取多维表格所有记录
+    feishu_records = read_feishu_records(app_token, table_id)
+    logging.info(f"成功读取{len(feishu_records)}条多维表格记录")
+
+    # 统计变量
+    total_updated = 0
+    activated_count = 0
+    not_activated_count = 0
+
+    # 2. 准备需要更新的记录
+    records_to_update = []
+
+    for record in feishu_records:
+        try:
+            record_id = record["record_id"]
+            fields = record.get("fields", {})
+
+            # 获取车架号(VIN)
+            vin = fields.get(VIN_FIELD_NAME)
+            if not vin:
+                logging.warning(f"记录 {record_id} 缺少VIN字段")
+                continue
+
+            # 获取多维表格中的激活状态
+            current_status = fields.get(ACTIVE_FIELD_NAME, "").lower()
+
+            # 获取数据库中的激活状态
+            db_status = activation_data.get(vin)
+            if not db_status:
+                logging.warning(f"VIN {vin} 在数据库中未找到")
+                continue
+
+            # 比较状态是否需要更新
+            if db_status != current_status:
+                records_to_update.append({
+                    "record_id": record_id,
+                    "fields": {
+                        ACTIVE_FIELD_NAME: db_status
+                    }
+                })
+                logging.info(f"VIN {vin} 状态需更新: {current_status} → {db_status}")
+
+                # 统计更新状态
+                if db_status == 'active':
+                    activated_count += 1
+                else:
+                    not_activated_count += 1
+
+        except Exception as e:
+            logging.error(f"处理记录异常: {record} - {str(e)}")
+
+    total_updated = len(records_to_update)
+    logging.info(f"需要更新{total_updated}条记录")
+    logging.info(f"更新统计: 激活车辆: {activated_count}台, 未激活车辆: {not_activated_count}台")
+
+    # 3. 批量更新记录 (每批次50条)
+    if not records_to_update:
+        logging.info("没有需要更新的记录")
+        return total_updated, activated_count, not_activated_count
+
+    batch_size = 50
+    success_count = 0
+
+    for i in range(0, len(records_to_update), batch_size):
+        batch = records_to_update[i:i + batch_size]
+        batch_payload = {"records": batch}
+
+        update_url = f"https://open.feishu.cn/open-apis/bitable/v1/apps/{app_token}/tables/{table_id}/records/batch_update"
+
+        for attempt in range(3):  # 最多重试3次
+            try:
+                response = requests.post(update_url, headers=headers, json=batch_payload, timeout=30)
+                resp_data = response.json()
+
+                if response.status_code == 200 and resp_data.get("code") == 0:
+                    success_count += len(batch)
+                    logging.info(f"成功更新批次 {i // batch_size + 1}: {len(batch)}条记录")
+                    break
+                else:
+                    error_msg = resp_data.get('msg', '未知错误')
+                    logging.warning(f"更新失败(尝试 {attempt + 1}/3): {error_msg}")
+                    time.sleep(2 ** attempt)
+            except Exception as e:
+                logging.warning(f"网络错误(尝试 {attempt + 1}/3): {str(e)}")
+                time.sleep(2 ** attempt)
+
+    logging.info(f"总计更新成功{success_count}条记录")
+    return total_updated, activated_count, not_activated_count
+
+
+def sync_vehicle_activation():
+    """执行车辆激活状态同步流程"""
+    try:
+        start_time = time.time()
+        logging.info("开始车辆激活状态同步流程...")
+
+        # 1. 从数据库获取激活状态数据
+        activation_data = fetch_activation_data()
+        logging.info(f"从数据库获取{len(activation_data)}条激活状态记录")
+
+        # 统计数据库中的激活状态
+        db_activated = sum(1 for status in activation_data.values() if status == 'active')
+        db_not_activated = sum(1 for status in activation_data.values() if status == 'no_active')
+        logging.info(f"数据库统计: 激活车辆: {db_activated}台, 未激活车辆: {db_not_activated}台")
+
+        # 2. 与飞书多维表格数据比对并更新
+        total_updated, activated_count, not_activated_count = compare_and_update_records(
+            FEISHU_APP_TOKEN, FEISHU_TABLE_ID, activation_data
+        )
+
+        # 3. 输出最终统计结果
+        logging.info("=" * 50)
+        logging.info(f"本次更新统计结果:")
+        logging.info(f"  - 更新车辆总数: {total_updated}台")
+        logging.info(f"  - 激活车辆数量: {activated_count}台")
+        logging.info(f"  - 未激活车辆数量: {not_activated_count}台")
+        logging.info("=" * 50)
+
+        # 4. 完成日志
+        elapsed_time = time.time() - start_time
+        logging.info(f"流程完成! 耗时: {elapsed_time:.2f}秒, 更新记录数: {total_updated}")
+
+        return {
+            "total_updated": total_updated,
+            "activated_count": activated_count,
+            "not_activated_count": not_activated_count,
+            "elapsed_time": elapsed_time
+        }
+
+    except Exception as e:
+        logging.error(f"流程执行异常: {str(e)}")
+        logging.exception("详细错误信息")
+        return None
+
+
+# ====================== 主执行流程 ======================
+if __name__ == '__main__':
+    # 执行车辆激活状态同步
+    sync_result = sync_vehicle_activation()
+
+    if sync_result:
+        # 构建飞书消息
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M")
+        message = (
+            f"🚗 **车辆激活状态同步完成** ✅\n"
+            f"⏰ 同步时间: {current_time}\n"
+            f"⏱️ 处理耗时: {sync_result['elapsed_time']:.2f}秒\n\n"
+            f"📊 **同步统计结果:**\n"
+            f"• 更新车辆总数: {sync_result['total_updated']}台\n"
+            f"• ✅ 激活车辆数量: {sync_result['activated_count']}台\n"
+            f"• ❌ 未激活车辆数量: {sync_result['not_activated_count']}台\n\n"
+            f"🔗 查看多维表格: [点击访问]({MULTI_TABLE_URL})"
+        )
+
+        # 发送飞书通知
+        send_result = send_feishu_message(message)
+        if send_result:
+            logging.info(f"飞书消息发送成功: {send_result}")
+        else:
+            logging.error("飞书消息发送失败")
+    else:
+        error_message = "❌ 车辆激活状态同步失败，请检查日志"
+        send_feishu_message(error_message)
+        logging.error(error_message)

lion-ououmeng9.py

@@ -0,0 +1,123 @@
+from cassandra.cluster import Cluster
+from cassandra.query import BatchStatement
+import time
+import hashlib
+from cassandra.auth import PlainTextAuthProvider
+import base64
+from multiprocessing import Process
+from  multiprocessing import  Pool
+
+def sha256(data):
+    sha256 = hashlib.sha256()
+    sha256.update(data.encode('utf-8'))
+    return sha256.hexdigest()
+
+def execute():
+    # 定义用户名和密码
+    username = 'tsp_eu_stress'
+    password = 'UaiKeq6cKsm2S4y'
+
+    # 创建身份验证提供程序
+    auth_provider = PlainTextAuthProvider(username=username, password=password)
+
+    # 连接到 Cassandra 集群
+    cluster = Cluster(['10.95.0.81'], auth_provider=auth_provider)
+    session = cluster.connect()
+
+    # # 创建Cassandra集群连接
+    # cluster = Cluster(['172.25.116.188'])
+    session = cluster.connect('tsp_eu')
+
+    # 创建批量操作语句
+    # batch = BatchStatement()
+    query2 = "insert  into  tsp_eu.realtime_his(v,ct,data,st,type) values(%s, %s,%s, %s,%s)"
+    query3 = "insert  into  tsp_eu.realtime_hf(v,ct,data,st,type) values(%s, %s,%s, %s,%s)"
+
+
+
+    #j为每个vin插入条数；i为插入的vin数
+    for  j in range(1):
+
+        for i in range(1,1000001):
+
+            # time.sleep(1)
+            # 创建插入语句
+            # tbox登陆登出插入语句
+            # query1 = "INSERT INTO tbox_login_logout (v,st,ct,reason,result,tbox_sn,type) VALUES (%s, %s,%s, %s,%s, %s,%s)"
+            # batch = BatchStatement()
+            # batch1 = BatchStatement()
+
+            # batch.add(query1, (
+            # sha256('TESTVIN' + str(i).zfill(10)), int(time.time() * 1000), int(time.time() * 1000), "1", "1", "1111",
+            # "2"))
+            # print('TESTVIN' + str(i).zfill(10))
+            # session.execute(batch)
+            #
+            # # # IHU车机登陆登出插入语句
+            # query2 = "insert into tsp_eu.hu_login_logout(v,st,ct,hu_sn,status,status_msg,type) values(%s, %s,%s, %s,%s, %s,%s)"
+            # batch1.add(query2, (sha256('TESTVIN' + str(i).zfill(10)), int(time.time() * 1000), int(time.time() * 1000),
+            #                    'TESTVIN' + str(i).zfill(10), '1', 'ddd', '1'))
+            # session.execute(batch1)
+
+            # 低频数据插入语句
+            # batch2 = BatchStatement()
+
+            # print('TESTVIN' + str(i).zfill(10))
+            # batch2.add(query2, (
+            # sha256('TESTVIN' + str(i).zfill(10)), int(time.time() * 1000), "{\"202F\":255,\"2030\":255,\"2031\":255,\"2032\":255,\"2035\":255,\"2036\":255,\"2039\":255,\"203A\":255,\"203B\":255,\"203C\":255}",int(time.time() * 1000), '0'))
+            # session.execute(batch2)
+            #
+            # # 高频数据插入语句
+            # batch3 = BatchStatement()
+            # query3 = "insert  into  tsp_eu.realtime_hf(v,ct,data,st,type) values(%s, %s,%s, %s,%s)"
+            # batch2.add(query3, (
+            #     sha256('TESTVIN' + str(i).zfill(10)), int(time.time() * 1000), "{\"0001\":46720,\"2005\":0,\"2076\":0,\"2077\":38912,\"2082\":2958360575,\"2084\":111428784,\"2085\":46720,\"2086\":0,\"2087\":2908749824,\"208A\":176,\"208C\":68}",
+            #     int(time.time() * 1000), '0'))
+            # session.execute(batch2)
+
+            # 实时数据插入语句-每个vin只能有一条数据
+            batch4 = BatchStatement()
+            query4 = "insert  into  tsp_eu.realtime_new(v,ct,data,st) values(%s, %s,%s, %s)"
+            print('HESTVIN' + str(i).zfill(10))
+            batch4.add(query4, (
+                sha256('HESTVIN' + str(i).zfill(10)), int(time.time() * 1000), {'2001': '350', '2002': '1', '2003': '2000', '2004': '600', '2005': '60', '2006': '83', '2007': '350', '2008': '0', '2009': '10000', '200A': '600', '200B': '1000', '200C': '3000', '200D': '0', '200E': '1', '200F': '3', '2010': '1', '2011': '0', '2012': '0', '2013': '2', '2014': '1', '2015': '0', '2016': '0', '2017': '3', '2018': '0', '2019': '0', '201A': '0', '201B': '0', '201C': '0', '201D': '0', '201E': '0', '201F': '0', '2020': '0', '2021': '0', '2022': '0', '2023': '0', '2024': '0', '2025': '0', '2026': '230', '2027': '230', '2028': '230', '2029': '0', '202A': '6', '202B': '6', '202C': '1', '202D': '0', '202E': '0', '202F': '0', '2030': '1', '2031': '2', '2032': '0', '2033': '1', '2034': '1', '2035': '1', '2036': '1', '2037': '3', '2038': '1', '2039': '1', '203A': '0', '203B': '0', '203C': '0', '203D': '0', '203E': '150', '203F': '0', '2040': '0', '2041': '3', '2042': '17000', '2043': '1000', '2044': '85', '2045': '0', '2046': '23', '2047': '23', '2048': '23', '2049': '23', '204A': '70', '204B': '70', '204C': '70', '204D': '70', '204E': '0', '204F': '0', '2050': '0', '2051': '0', '2052': '0', '2053': '0', '2054': '0', '2055': '0', '2056': '0', '2057': '0', '2058': '0', '2059': '0', '205A': '0', '205B': '0', '205C': '0', '205D': '0', '205E': '1687590135166', '205F': '1687590135166', '2060': '5000', '2061': '180', '2062': '3000', '2063': '0', '2064': '0', '2065': '0', '2066': '0', '2067': '0', '2068': '0', '2069': '0', '206A': '0', '206B': '0', '206C': '0', '206D': '5', '206E': '0', '206F': '5', '2070': '0', '2071': '0', '2072': '0', '2073': '0', '2076': '3', '2077': '350', '2078': '0', '2080': '255', '2081': '255', '2082': '4294967295', '2083': '255', '2084': '4294967295', '2085': '4294967295', '2086': '4294967295', '2087': '4294967295', '2088': '0', '2089': '255', '208A': '255', '208B': '255', '208C': '1800', '208D': '4294967295', '208E': '4294967295', '208F': '4294967295', '2090': '4294967295', '2091': '255', '2092': '255', '2093': '255', '2094': '255', '2095': '65535'}, int(time.time() * 1000)))
+            session.execute(batch4)
+
+            # # 最新诊断
+            # batch5 = BatchStatement()
+            # query5 = "insert  into  tsp_eu.diagnosis_new(v,ct,data,out_vehicle_type,st) values(%s,%s, %s,%s, %s)"
+            # batch5.add(query5, (
+            # base64.urlsafe_b64encode(('TESTVIN' + str(i).zfill(10)).encode())[0:23].decode(), int(time.time() * 1000),
+            # {'10': 'null', '11': 'null', '12': 'null', '13': 'null', '15': 'null', '19': 'null',
+            #  '2': '[9717033,9717267]', '20': 'null', '21': 'null', '22': 'null', '24': 'null', '32': 'null',
+            #  '35': 'null', '36': 'null', '5': 'null', '8': 'null'}, 'T19CEV_OUTSIDE_001_TEST_KB51',
+            # int(time.time() * 1000)))
+            # session.execute(batch5)
+
+            # # 历史诊断
+            # batch6 = BatchStatement()
+            # query6 = "insert  into  tsp_eu.diagnosis_his(v,ct,data,st) values(%s, %s,%s, %s)"
+            # batch6.add(query6, (
+            #     sha256('TESTVIN' + str(i).zfill(10)), int(time.time() * 1000),
+            #     "{\"5010\":0,\"5011\":1,\"5001\":4,\"5A01\":[]}",
+            #     int(time.time() * 1000)))
+            # session.execute(batch6)
+
+    # 执行批量操作
+    # session.execute(batch)
+
+    # 关闭连接
+    session.shutdown()
+    cluster.shutdown()
+
+if __name__ == '__main__':
+    # poo1=Pool(30)
+    # for i in range(1000):
+    #     poo1.apply_async(execute)
+    # poo1.close()
+    # poo1.join()
+    # for i in range(10):
+    #  p=Process(target=execute)
+    #  p.start()
+
+    execute()

main.py

@@ -0,0 +1,16 @@
+# This is a sample Python script.
+
+# Press Shift+F10 to execute it or replace it with your code.
+# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
+
+
+def print_hi(name):
+    # Use a breakpoint in the code line below to debug your script.
+    print(f'Hi, {name}')  # Press Ctrl+F8 to toggle the breakpoint.
+
+
+# Press the green button in the gutter to run the script.
+if __name__ == '__main__':
+    print_hi('PyCharm')
+
+# See PyCharm help at https://www.jetbrains.com/help/pycharm/

requirements.txt

@@ -0,0 +1,5 @@
+pandas~=2.2.3
+requests~=2.32.3
+sqlalchemy~=2.0.41
+PyMySQL~=1.1.1
+cassandra-driver~=3.28.0