diff --git a/applications/reporter/README.md b/applications/reporter/README.md
deleted file mode 100644
index 962bcdf..0000000
--- a/applications/reporter/README.md
+++ /dev/null
@@ -1,254 +0,0 @@
-# 报告生成器使用说明
-
-## 功能概述
-
-本模块提供了日报和周报生成功能，主要特点：
-
-1. **AI智能筛选**：从AI分析结果表获取已筛选的相关内容（是否相关=1）
-2. **多格式输出**：同时生成HTML和Markdown格式的报告
-3. **钉钉推送**：支持自动推送到钉钉群
-4. **可扩展数据源**：支持添加多个数据源（RSS、投诉、API等）
-5. **灵活模板系统**：支持内置HTML模板和外部HTML模板
-
-## 快速开始
-
-### 生成日报（24小时内数据）
-
-```python
-from applications.reporter.daily import DailyReporter
-
-reporter = DailyReporter()
-result = reporter.generate()
-print(f"日报已生成:")
-print(f" HTML: {result.get('html_path')}")
-print(f" Markdown: {result.get('markdown_path')}")
-```
-
-### 生成周报（7天内数据）
-
-```python
-from applications.reporter.weekly import WeeklyReporter
-
-reporter = WeeklyReporter()
-result = reporter.generate()
-print(f"周报已生成:")
-print(f" HTML: {result.get('html_path')}")
-print(f" Markdown: {result.get('markdown_path')}")
-```
-
-## 钉钉推送配置
-
-### 1. 获取钉钉Webhook地址
-
-1. 在钉钉群中，点击"群设置" -> "智能群助手" -> "添加机器人"
-2. 选择"自定义"机器人
-3. 设置机器人名称和头像
-4. 复制Webhook地址（格式：`https://oapi.dingtalk.com/robot/send?access_token=xxx`）
-
-### 2. 配置Webhook地址
-
-**方式1：通过环境变量（推荐）**
-
-```bash
-export DINGTALK_WEBHOOK="https://oapi.dingtalk.com/robot/send?access_token=xxx"
-```
-
-**方式2：在config.py中配置**
-
-```python
-DINGTALK_WEBHOOK = "https://oapi.dingtalk.com/robot/send?access_token=xxx"
-```
-
-**方式3：在代码中指定**
-
-```python
-from applications.reporter.daily import DailyReporter
-
-reporter = DailyReporter(dingtalk_webhook="https://oapi.dingtalk.com/robot/send?access_token=xxx")
-result = reporter.generate()
-```
-
-### 3. 控制推送行为
-
-```python
-# 生成报告但不推送到钉钉
-reporter = DailyReporter()
-result = reporter.generate(send_dingtalk=False)
-
-# 不保存Markdown文件
-result = reporter.generate(save_markdown=False)
-
-# 同时控制
-result = reporter.generate(save_markdown=True, send_dingtalk=True)
-```
-
-### 4. 钉钉消息格式
-
-- 自动使用Markdown格式发送
-- 如果内容过长（超过5000字符），会自动截断并显示摘要
-- 包含报告文件路径提示
-
-## 添加自定义数据源
-
-### 1. 创建数据源类
-
-数据源类需要继承 `DataSource` 基类并实现以下方法：
-
-```python
-from applications.reporter.base_reporter import DataSource
-from typing import List, Dict, Any
-from datetime import datetime
-
-class MyCustomDataSource(DataSource):
- def fetch_data(self, start_time: datetime, end_time: datetime) -> List[Dict[str, Any]]:
- """获取指定时间范围内的数据"""
- # 返回格式：
- return [
- {
- 'title': '标题',
- 'link': '链接',
- 'summary': '摘要',
- 'publish_time': '发布时间',
- 'source_url': '来源URL'
- }
- ]
-
- def get_source_name(self) -> str:
- return "数据源名称"
-```
-
-### 2. 添加到报告生成器
-
-```python
-from applications.reporter.daily import DailyReporter
-from my_module import MyCustomDataSource
-
-reporter = DailyReporter()
-custom_source = MyCustomDataSource(...)
-reporter.add_data_source(custom_source)
-
-# 生成报告（会自动包含新数据源的数据）
-report_path = reporter.generate()
-```
-
-## 使用外部HTML模板
-
-### 1. 创建HTML模板文件
-
-创建外部HTML模板文件（如 `custom_template.html`）：
-
-```html
-
-
-
-
- 自定义报告模板
-
-
-
-
- -->
- {{content}}
-
-
-```
-
-### 2. 使用外部模板生成报告
-
-```python
-from applications.reporter.daily import DailyReporter
-
-reporter = DailyReporter()
-report_path = reporter.generate(template_path="path/to/custom_template.html")
-```
-
-## 配置说明
-
-### AI配置
-
-在 `config.py` 中配置百度AI API：
-
-```python
-BAIDU_AI_CONFIG = {
- 'api_key': 'your_api_key',
- 'model': 'ernie-x1-turbo-32k',
-}
-```
-
-### 数据库配置
-
-确保 `config.py` 中的数据库配置正确：
-
-```python
-MYSQL_CONFIG = {
- 'host': 'your_host',
- 'port': 3306,
- 'user': 'your_user',
- 'password': 'your_password',
- 'database': 'intelligence_system',
-}
-```
-
-## 输出目录
-
-- 日报：`output/reports/daily/`
-- 周报：`output/reports/weekly/`
-
-报告文件名格式：
-- HTML：`daily_report_YYYYMMDD_HHMMSS.html` / `weekly_report_YYYYMMDD_HHMMSS.html`
-- Markdown：`daily_report_YYYYMMDD_HHMMSS.md` / `weekly_report_YYYYMMDD_HHMMSS.md`
-
-## 报告内容
-
-生成的报告包含：
-
-1. **报告时间信息**：生成时间和时间范围
-2. **数据统计**：相关文章数
-3. **相关新闻列表**（从AI分析结果表筛选，是否相关=1）：
- - 标题
- - 分类
- - 标签
- - 摘要
- - 链接
- - 发布时间
- - 相关度评分
- - 分析说明
-
-如果没有相关数据，会显示：
-- 日报：`昨日无汽车后市场相关的新闻`
-- 周报：`上周无汽车后市场相关的新闻`
-
-## AI筛选说明
-
-AI会根据以下定义筛选汽车后市场相关内容：
-
-- 汽车维修保养
-- 汽车配件
-- 汽车改装
-- 汽车美容
-- 汽车用品
-- 汽车金融
-- 汽车保险
-- 二手车交易
-- 汽车租赁
-- 汽车检测
-- 汽车报废回收
-- 汽车相关法律法规和政策
-
-## 扩展示例
-
-参考 `data_source_example.py` 查看如何：
-- 添加数据库数据源
-- 添加外部API数据源
-- 实现自定义数据源
-
-## 注意事项
-
-1. 确保数据库连接正常
-2. 确保AI API配置正确且有足够配额
-3. 外部模板文件需要包含内容占位符
-4. 数据源返回的数据格式需要符合规范
-
diff --git a/applications/reporter/data_source_example.py b/applications/reporter/data_source_example.py
deleted file mode 100644
index 1b093ce..0000000
--- a/applications/reporter/data_source_example.py
+++ /dev/null
@@ -1,135 +0,0 @@
-"""
-数据源扩展示例
-演示如何添加新的数据源
-"""
-from applications.reporter.base_reporter import DataSource
-from typing import List, Dict, Any
-from datetime import datetime
-from loguru import logger
-
-
-class ComplaintDataSource(DataSource):
- """投诉数据源示例（可根据实际情况实现）"""
-
- def __init__(self, db_agent, table_name: str = "complaint_data"):
- """
- Args:
- db_agent: MySQLAgent实例
- table_name: 数据表名
- """
- self.db_agent = db_agent
- self.table_name = table_name
- self.logger = logger.bind(module="ComplaintDataSource")
-
- def fetch_data(self, start_time: datetime, end_time: datetime) -> List[Dict[str, Any]]:
- """从投诉数据表获取数据"""
- try:
- sql = f"""
- SELECT
- `标题` as title,
- `链接` as link,
- `内容` as summary,
- `发布时间` as publish_time,
- `来源` as source_url
- FROM `{self.table_name}`
- WHERE `发布时间` >= %s AND `发布时间` < %s
- ORDER BY `发布时间` DESC
- """
-
- params = (
- start_time.strftime('%Y-%m-%d %H:%M:%S'),
- end_time.strftime('%Y-%m-%d %H:%M:%S')
- )
-
- df = self.db_agent.query_to_df(sql, params=params, is_print=False)
-
- if df.empty:
- self.logger.info(f"时间范围 {start_time} 到 {end_time} 内没有投诉数据")
- return []
-
- data_list = df.to_dict('records')
- self.logger.info(f"获取到 {len(data_list)} 条投诉数据")
- return data_list
-
- except Exception as e:
- self.logger.error(f"获取投诉数据失败: {str(e)}", exc_info=True)
- return []
-
- def get_source_name(self) -> str:
- return "投诉数据"
-
-
-class CustomAPIDataSource(DataSource):
- """外部API数据源示例"""
-
- def __init__(self, api_url: str, api_key: str = None):
- """
- Args:
- api_url: API地址
- api_key: API密钥（如果需要）
- """
- self.api_url = api_url
- self.api_key = api_key
- self.logger = logger.bind(module="CustomAPIDataSource")
-
- def fetch_data(self, start_time: datetime, end_time: datetime) -> List[Dict[str, Any]]:
- """从外部API获取数据"""
- import requests
-
- try:
- headers = {}
- if self.api_key:
- headers['Authorization'] = f'Bearer {self.api_key}'
-
- params = {
- 'start_time': start_time.isoformat(),
- 'end_time': end_time.isoformat()
- }
-
- response = requests.get(self.api_url, headers=headers, params=params, timeout=30)
- response.raise_for_status()
-
- data = response.json()
-
- # 将API返回的数据转换为标准格式
- articles = []
- for item in data.get('articles', []):
- articles.append({
- 'title': item.get('title', ''),
- 'link': item.get('url', ''),
- 'summary': item.get('description', ''),
- 'publish_time': item.get('published_at', ''),
- 'source_url': self.api_url
- })
-
- self.logger.info(f"从API获取到 {len(articles)} 条数据")
- return articles
-
- except Exception as e:
- self.logger.error(f"从API获取数据失败: {str(e)}", exc_info=True)
- return []
-
- def get_source_name(self) -> str:
- return "外部API"
-
-
-# 使用示例：
-"""
-from applications.reporter.daily import DailyReporter
-from applications.reporter.data_source_example import ComplaintDataSource
-from utils.mysql_agent import MySQLAgent
-from config import Config
-
-# 创建日报生成器
-reporter = DailyReporter()
-
-# 添加投诉数据源
-db_agent = MySQLAgent(Config.MYSQL_CONFIG)
-complaint_source = ComplaintDataSource(db_agent, table_name="complaint_data")
-reporter.add_data_source(complaint_source)
-
-# 生成报告
-report_path = reporter.generate()
-print(f"报告已生成: {report_path}")
-"""
-
diff --git a/applications/reporter/dingtalk_example.py b/applications/reporter/dingtalk_example.py
deleted file mode 100644
index 57f3fd5..0000000
--- a/applications/reporter/dingtalk_example.py
+++ /dev/null
@@ -1,149 +0,0 @@
-"""
-钉钉推送使用示例
-演示如何配置和使用钉钉推送功能
-"""
-import os
-import sys
-
-# 添加父目录到路径
-current_dir = os.path.dirname(os.path.abspath(__file__))
-parent_dir = os.path.dirname(os.path.dirname(current_dir))
-if parent_dir not in sys.path:
- sys.path.insert(0, parent_dir)
-
-from applications.reporter.daily import DailyReporter
-from applications.reporter.weekly import WeeklyReporter
-from applications.reporter.dingtalk_webhook import DingTalkWebhook
-
-
-def example_with_config():
- """示例1：通过config.py配置"""
- print("=" * 50)
- print("示例1：使用config.py中的配置")
- print("=" * 50)
-
- # 需要在config.py中设置 DINGTALK_WEBHOOK
- reporter = DailyReporter()
- result = reporter.generate()
- print(f"✅ 报告已生成并推送\n")
-
-
-def example_with_env_var():
- """示例2：通过环境变量配置"""
- print("=" * 50)
- print("示例2：使用环境变量配置")
- print("=" * 50)
-
- # 设置环境变量
- webhook_url = os.getenv('DINGTALK_WEBHOOK', '')
- if webhook_url:
- reporter = DailyReporter(dingtalk_webhook=webhook_url)
- result = reporter.generate()
- print(f"✅ 报告已生成并推送\n")
- else:
- print("⚠️ 未设置环境变量 DINGTALK_WEBHOOK\n")
-
-
-def example_with_direct_url():
- """示例3：直接指定Webhook地址"""
- print("=" * 50)
- print("示例3：直接指定Webhook地址")
- print("=" * 50)
-
- # 直接指定webhook地址（请替换为实际的webhook地址）
- webhook_url = "https://oapi.dingtalk.com/robot/send?access_token=YOUR_ACCESS_TOKEN"
-
- if webhook_url != "https://oapi.dingtalk.com/robot/send?access_token=YOUR_ACCESS_TOKEN":
- reporter = DailyReporter(dingtalk_webhook=webhook_url)
- result = reporter.generate()
- print(f"✅ 报告已生成并推送\n")
- else:
- print("⚠️ 请先设置实际的webhook地址\n")
-
-
-def example_without_push():
- """示例4：生成报告但不推送"""
- print("=" * 50)
- print("示例4：生成报告但不推送到钉钉")
- print("=" * 50)
-
- reporter = DailyReporter()
- result = reporter.generate(send_dingtalk=False)
- print(f"✅ 报告已生成（未推送）\n")
-
-
-def example_weekly_report():
- """示例5：生成周报并推送"""
- print("=" * 50)
- print("示例5：生成周报并推送")
- print("=" * 50)
-
- reporter = WeeklyReporter()
- result = reporter.generate()
- print(f"✅ 周报已生成并推送\n")
-
-
-def example_test_webhook():
- """示例6：测试钉钉Webhook连接"""
- print("=" * 50)
- print("示例6：测试钉钉Webhook连接")
- print("=" * 50)
-
- webhook_url = input("请输入钉钉Webhook地址（直接回车跳过）: ").strip()
- if not webhook_url:
- print("⚠️ 未输入Webhook地址，跳过测试\n")
- return
-
- client = DingTalkWebhook(webhook_url)
-
- # 发送测试消息
- success = client.send_text("这是一条测试消息", at_all=False)
-
- if success:
- print("✅ 测试消息发送成功，Webhook配置正确\n")
- else:
- print("❌ 测试消息发送失败，请检查Webhook地址是否正确\n")
-
-
-def main():
- """主函数"""
- print("\n" + "=" * 50)
- print("钉钉推送功能使用示例")
- print("=" * 50 + "\n")
-
- print("请选择要运行的示例：")
- print("1. 通过config.py配置（需要先在config.py中设置DINGTALK_WEBHOOK）")
- print("2. 通过环境变量配置")
- print("3. 直接指定Webhook地址")
- print("4. 生成报告但不推送")
- print("5. 生成周报并推送")
- print("6. 测试钉钉Webhook连接")
- print("0. 退出")
-
- choice = input("\n请输入选项（0-6）: ").strip()
-
- if choice == "1":
- example_with_config()
- elif choice == "2":
- example_with_env_var()
- elif choice == "3":
- example_with_direct_url()
- elif choice == "4":
- example_without_push()
- elif choice == "5":
- example_weekly_report()
- elif choice == "6":
- example_test_webhook()
- elif choice == "0":
- print("退出")
- else:
- print("无效选项")
-
- print("=" * 50)
- print("示例运行完成！")
- print("=" * 50 + "\n")
-
-
-if __name__ == "__main__":
- main()
-
diff --git a/applications/reporter/dingtalk_webhook.py b/applications/reporter/dingtalk_webhook.py
deleted file mode 100644
index 80fb9db..0000000
--- a/applications/reporter/dingtalk_webhook.py
+++ /dev/null
@@ -1,236 +0,0 @@
-"""
-钉钉Webhook推送工具
-支持推送Markdown格式消息到钉钉群
-"""
-import requests
-import json
-from typing import Optional, Dict, Any
-from loguru import logger
-
-
-class DingTalkWebhook:
- """钉钉Webhook推送工具"""
-
- def __init__(self, webhook_url: str):
- """
- 初始化钉钉Webhook
-
- Args:
- webhook_url: 钉钉机器人Webhook地址
- """
- self.webhook_url = webhook_url
- self.logger = logger.bind(module="DingTalkWebhook")
-
- def send_text(self, content: str, at_mobiles: list = None, at_all: bool = False) -> bool:
- """
- 发送文本消息
-
- Args:
- content: 消息内容
- at_mobiles: 要@的手机号列表
- at_all: 是否@所有人
-
- Returns:
- 是否发送成功
- """
- data = {
- "msgtype": "text",
- "text": {
- "content": content
- }
- }
-
- if at_mobiles or at_all:
- data["at"] = {}
- if at_mobiles:
- data["at"]["atMobiles"] = at_mobiles
- if at_all:
- data["at"]["isAtAll"] = True
-
- return self._send(data)
-
- def send_markdown(self, title: str, text: str, at_mobiles: list = None, at_all: bool = False) -> bool:
- """
- 发送Markdown消息
-
- Args:
- title: 消息标题
- text: Markdown内容（钉钉支持的格式）
- at_mobiles: 要@的手机号列表
- at_all: 是否@所有人
-
- Returns:
- 是否发送成功
- """
- # 钉钉markdown消息有长度限制，需要截断
- max_length = 5000
- if len(text) > max_length:
- text = text[:max_length - 100] + "\n\n...（内容已截断，完整内容请查看附件）"
- self.logger.warning(f"Markdown内容过长，已截断至{max_length}字符")
-
- data = {
- "msgtype": "markdown",
- "markdown": {
- "title": title,
- "text": text
- }
- }
-
- if at_mobiles or at_all:
- data["at"] = {}
- if at_mobiles:
- data["at"]["atMobiles"] = at_mobiles
- if at_all:
- data["at"]["isAtAll"] = True
-
- return self._send(data)
-
- def send_markdown_from_file(self, title: str, markdown_file: str,
- max_length: int = 5000, at_mobiles: list = None,
- at_all: bool = False) -> bool:
- """
- 从Markdown文件发送消息
-
- Args:
- title: 消息标题
- markdown_file: Markdown文件路径
- max_length: 最大长度限制（默认5000字符）
- at_mobiles: 要@的手机号列表
- at_all: 是否@所有人
-
- Returns:
- 是否发送成功
- """
- try:
- with open(markdown_file, 'r', encoding='utf-8') as f:
- content = f.read()
-
- # 转换为钉钉markdown格式（简化一些不支持的语法）
- text = self._convert_to_dingtalk_markdown(content, max_length)
-
- return self.send_markdown(title, text, at_mobiles, at_all)
-
- except Exception as e:
- self.logger.error(f"读取Markdown文件失败: {str(e)}", exc_info=True)
- return False
-
- def _convert_to_dingtalk_markdown(self, content: str, max_length: int = 5000) -> str:
- """
- 将标准Markdown转换为钉钉支持的格式
-
- 钉钉Markdown支持的语法：
- - 标题：# ## ###
- - 加粗：**text**
- - 链接：[text](url)
- - 列表：- 或 1.
- - 引用：>
- - 代码：`code`
- - 换行：两个换行符
-
- 不支持：
- - 表格（需要转换为文本）
- - HTML标签
- - 复杂嵌套
- """
- # 如果内容太长，截断并添加提示
- if len(content) > max_length:
- content = content[:max_length - 200] + "\n\n---\n\n**提示**: 内容已截断，完整内容请查看报告文件。"
-
- # 钉钉markdown基本兼容标准markdown，但需要清理一些不支持的语法
- # 保留基本格式即可
- text = content
-
- return text
-
- def _send(self, data: Dict[str, Any]) -> bool:
- """
- 发送消息到钉钉
-
- Args:
- data: 消息数据
-
- Returns:
- 是否发送成功
- """
- try:
- headers = {
- 'Content-Type': 'application/json'
- }
-
- response = requests.post(
- self.webhook_url,
- headers=headers,
- data=json.dumps(data),
- timeout=10
- )
-
- response.raise_for_status()
- result = response.json()
-
- if result.get('errcode') == 0:
- self.logger.info("消息发送成功")
- return True
- else:
- self.logger.error(f"消息发送失败: {result.get('errmsg', '未知错误')}")
- return False
-
- except requests.exceptions.RequestException as e:
- self.logger.error(f"发送消息请求失败: {str(e)}", exc_info=True)
- return False
- except Exception as e:
- self.logger.error(f"发送消息失败: {str(e)}", exc_info=True)
- return False
-
- def send_report(self, title: str, markdown_content: str, markdown_file: str = None) -> bool:
- """
- 发送报告消息（优化版本，自动处理长内容）
-
- Args:
- title: 消息标题
- markdown_content: Markdown内容
- markdown_file: Markdown文件路径（可选，用于提示）
-
- Returns:
- 是否发送成功
- """
- # 钉钉markdown有长度限制，需要截断或分段
- max_length = 4500 # 留一些余量
-
- if len(markdown_content) <= max_length:
- # 内容不长，直接发送
- text = markdown_content
- if markdown_file:
- text += f"\n\n---\n\n**完整报告**: 已保存到 `{markdown_file}`"
- return self.send_markdown(title, text)
- else:
- # 内容太长，发送摘要
- # 提取关键部分（标题、统计、前几条新闻）
- lines = markdown_content.split('\n')
- summary_lines = []
- news_count = 0
- max_news_items = 5
-
- for line in lines:
- summary_lines.append(line)
- # 计算已添加的新闻条目数
- if line.startswith('### ') and news_count < max_news_items:
- news_count += 1
- # 添加接下来的几行（摘要、链接等）
- continue
- elif news_count >= max_news_items and line.startswith('### '):
- # 达到最大条目数，停止添加
- break
-
- summary = '\n'.join(summary_lines)
-
- # 如果还有更多内容，添加提示
- if len(markdown_content) > len(summary):
- remaining_count = markdown_content.count('### ') - news_count
- summary += f"\n\n---\n\n**提示**: 报告内容较长，已显示前{news_count}条新闻。"
- if remaining_count > 0:
- summary += f" 还有{remaining_count}条新闻未显示。"
- if markdown_file:
- summary += f"\n\n**完整报告**: 已保存到 `{markdown_file}`"
-
- return self.send_markdown(title, summary)
-
diff --git a/applications/reporter/example_usage.py b/applications/reporter/example_usage.py
deleted file mode 100644
index c2f51c2..0000000
--- a/applications/reporter/example_usage.py
+++ /dev/null
@@ -1,136 +0,0 @@
-"""
-报告生成器使用示例
-展示各种使用场景
-"""
-import os
-import sys
-
-# 添加父目录到路径
-current_dir = os.path.dirname(os.path.abspath(__file__))
-parent_dir = os.path.dirname(os.path.dirname(current_dir))
-if parent_dir not in sys.path:
- sys.path.insert(0, parent_dir)
-
-from applications.reporter.daily import DailyReporter
-from applications.reporter.weekly import WeeklyReporter
-
-
-def example_daily_report():
- """示例1：生成简单日报"""
- print("=" * 50)
- print("示例1：生成日报（使用内置模板）")
- print("=" * 50)
-
- reporter = DailyReporter()
- report_path = reporter.generate()
- print(f"✅ 日报已生成: {report_path}\n")
-
-
-def example_weekly_report():
- """示例2：生成简单周报"""
- print("=" * 50)
- print("示例2：生成周报（使用内置模板）")
- print("=" * 50)
-
- reporter = WeeklyReporter()
- report_path = reporter.generate()
- print(f"✅ 周报已生成: {report_path}\n")
-
-
-def example_custom_template():
- """示例3：使用外部模板"""
- print("=" * 50)
- print("示例3：使用外部HTML模板生成日报")
- print("=" * 50)
-
- # 获取模板路径（相对于当前文件）
- template_path = os.path.join(
- os.path.dirname(__file__),
- 'templates',
- 'custom_template_example.html'
- )
-
- if os.path.exists(template_path):
- reporter = DailyReporter()
- report_path = reporter.generate(template_path=template_path)
- print(f"✅ 使用外部模板生成的日报: {report_path}\n")
- else:
- print(f"⚠️ 模板文件不存在: {template_path}\n")
-
-
-def example_custom_output_dir():
- """示例4：指定输出目录"""
- print("=" * 50)
- print("示例4：指定自定义输出目录")
- print("=" * 50)
-
- reporter = DailyReporter()
- custom_dir = "output/reports/custom"
- report_path = reporter.generate(output_dir=custom_dir)
- print(f"✅ 报告已保存到自定义目录: {report_path}\n")
-
-
-def example_add_data_source():
- """示例5：添加自定义数据源"""
- print("=" * 50)
- print("示例5：添加自定义数据源")
- print("=" * 50)
-
- try:
- from applications.reporter.data_source_example import ComplaintDataSource
- from utils.mysql_agent import MySQLAgent
- from config import Config
-
- reporter = DailyReporter()
-
- # 添加投诉数据源（如果数据库中有该表）
- db_agent = MySQLAgent(Config.MYSQL_CONFIG)
- complaint_source = ComplaintDataSource(db_agent, table_name="complaint_data")
- reporter.add_data_source(complaint_source)
-
- report_path = reporter.generate()
- print(f"✅ 包含自定义数据源的报告已生成: {report_path}\n")
- except Exception as e:
- print(f"⚠️ 添加自定义数据源失败（可能是表不存在）: {str(e)}\n")
-
-
-def main():
- """主函数"""
- print("\n" + "=" * 50)
- print("汽车后市场情报报告生成器 - 使用示例")
- print("=" * 50 + "\n")
-
- # 运行各种示例
- try:
- example_daily_report()
- except Exception as e:
- print(f"❌ 示例1失败: {str(e)}\n")
-
- try:
- example_weekly_report()
- except Exception as e:
- print(f"❌ 示例2失败: {str(e)}\n")
-
- try:
- example_custom_template()
- except Exception as e:
- print(f"❌ 示例3失败: {str(e)}\n")
-
- try:
- example_custom_output_dir()
- except Exception as e:
- print(f"❌ 示例4失败: {str(e)}\n")
-
- try:
- example_add_data_source()
- except Exception as e:
- print(f"❌ 示例5失败: {str(e)}\n")
-
- print("=" * 50)
- print("所有示例运行完成！")
- print("=" * 50 + "\n")
-
-
-if __name__ == "__main__":
- main()
-
diff --git a/applications/reporter/调用api.py b/applications/reporter/调用api.py
deleted file mode 100644
index e6c0dc5..0000000
--- a/applications/reporter/调用api.py
+++ /dev/null
@@ -1,234 +0,0 @@
-from openai import OpenAI
-import markdown
-from bs4 import BeautifulSoup
-import re
-import json
-
-
-def process_markdown_content(raw_content):
- """智能处理各种可能的Markdown格式输入，包括图表语法"""
- # 处理图表代码块（支持mermaid、vega-lite等）
- chart_patterns = [
- r'```mermaid(.*?)```',
- r'```vega-lite(.*?)```',
- r'```chart(.*?)```'
- ]
-
- # 保留原始图表代码块
- for pattern in chart_patterns:
- raw_content = re.sub(pattern, lambda m: f'{m.group(0)}', raw_content,
- flags=re.DOTALL)
-
- # 处理普通代码块
- code_block_patterns = [
- r'```markdown(.*?)```',
- r'```(.*?)```',
- r'~~~(.*?)~~~'
- ]
-
- for pattern in code_block_patterns:
- matches = re.findall(pattern, raw_content, re.DOTALL)
- if matches:
- return matches[0].strip()
-
- return raw_content.strip()
-
-
-def enhance_html_structure(soup):
- """增强HTML结构，特别处理图表"""
- # 图表块特殊处理
- for pre in soup.find_all('pre', class_='chart-block'):
- chart_type = 'mermaid' if 'mermaid' in pre.get_text() else 'vega-lite' if 'vega-lite' in pre.get_text() else 'chart'
- pre['class'] = f'chart-container {chart_type}-container'
- pre['data-chart-type'] = chart_type
-
- # 添加图表渲染占位符
- div = soup.new_tag('div', **{
- 'class': 'rendered-chart',
- 'data-chart-spec': pre.get_text()
- })
- pre.insert_after(div)
-
- # 表格增强
- for table in soup.find_all('table'):
- table['class'] = 'data-table'
- if not table.find('thead'):
- first_row = table.find('tr')
- if first_row:
- first_row.name = 'thead'
- for cell in first_row.find_all('td'):
- cell.name = 'th'
-
- # 代码块增强
- for pre in soup.find_all('pre'):
- if not any(
- cls in pre.get('class', []) for cls in ['chart-container', 'mermaid-container', 'vega-lite-container']):
- if not pre.find('code'):
- code = soup.new_tag('code')
- code.string = pre.get_text()
- pre.clear()
- pre.append(code)
- pre['class'] = 'code-block'
-
- return soup
-
-
-def generate_analysis_report(markdown_file):
- """生成自适应分析报告的主函数"""
- # 1. 读取Markdown文件
- with open(markdown_file, 'r', encoding='utf-8') as file:
- input_content = file.read()
-
- # 2. 调用API
- client = OpenAI(
- base_url='https://qianfan.baidubce.com/v2',
- api_key='bce-v3/ALTAK-X8C1AorvpdAI3ILPiRerh/4022de183e6b0a38e6b3baeb8af19e937f4a73d4'
- )
-
- response = client.chat.completions.create(
- model="ernie-x1-turbo-32k",
- messages=[{
- "role": "user",
- "content": f"{input_content}\n\n请生成专业的数据分析报告，要求：\n"
- "1. 使用规范的Markdown格式\n"
- "2. 包含业务表现分析、产品结构洞察、优化实施方案\n"
- "3. 增加门店维度的数据分析"
- "4.每个分析下需要展示对应的明细数据"
- }]
- )
-
- # 3. 处理API返回内容
- raw_content = response.choices[0].message.content
- processed_md = process_markdown_content(raw_content)
-
- # 4. 转换为HTML并增强结构
- html_content = markdown.markdown(processed_md, extensions=['tables', 'fenced_code', 'codehilite'])
- soup = BeautifulSoup(html_content, 'html.parser')
- enhanced_soup = enhance_html_structure(soup)
-
- # 5. 生成完整HTML报告（包含图表渲染支持）
- html_template = f"""
-
-
-
-
- AI数据分析报告（含图表）
-
-
-
-
-
-
-
-
-
-
- {enhanced_soup}
-
-
-
-
-"""
-
- # 6. 保存报告
- output_file = 'chart_analysis_report.html'
- with open(output_file, 'w', encoding='utf-8') as f:
- f.write(html_template)
-
- return output_file
-
-
-# 使用示例
-if __name__ == "__main__":
- report_file = generate_analysis_report('analysis_report.md')
- print(f"带图表的分析报告已生成: {report_file}")
\ No newline at end of file
diff --git a/deploy/start.bat b/deploy/start.bat
index fa7d2af..14d288a 100644
--- a/deploy/start.bat
+++ b/deploy/start.bat
@@ -4,6 +4,7 @@ REM 功能: Python环境检测 + 系统启动
REM 作者: AI Assistant
REM 版本: 1.0
REM 日期: 2025-10-29
+chcp 65001 >nul
setlocal enabledelayedexpansion
@@ -18,7 +19,7 @@ set "RESET=%ESC%[0m"
REM 配置变量
set "CONDA_ENV_NAME=intelligence_env"
set "PROJECT_PATH=%~dp0.."
-set "PYTHON_VERSION=3.11"
+set "PYTHON_VERSION=3.13"
echo %CYAN%===============================================%RESET%
echo %CYAN% 情报数据处理系统启动器%RESET%
diff --git a/logs/application.log b/logs/application.log
index 6cb59df..7da5ee9 100644
--- a/logs/application.log
+++ b/logs/application.log
@@ -133970,3 +133970,69 @@
→ module: 'WeeklyReporter'
2025-10-29 17:36:38.235 | INFO | weekly:72 - 周报生成完成: output/reports/weekly\weekly_report_20251029_173637.html
→ module: 'WeeklyReporter'
+2025-10-30 13:47:56.057 | INFO | task_scheduler:27 - 任务调度器已初始化，最大工作线程数: 5
+ → module: 'TaskScheduler'
+2025-10-30 13:48:20.079 | DEBUG | mysql_agent:116 - 执行SQL查询
+ → module: 'MySQLAgent(Windows)'
+ → sql: 'SELECT * FROM main_task WHERE task_id = %s'
+2025-10-30 13:48:20.346 | INFO | mysql_agent:134 - 查询执行成功
+ → module: 'MySQLAgent(Windows)'
+ → 行数: 1
+2025-10-30 13:48:20.349 | ERROR | 1757831752:141 - 任务执行失败: RSS基于规则数据处理
+ → module: 'TaskNotebook'
+2025-10-30 13:56:55.700 | DEBUG | mysql_agent:116 - 执行SQL查询
+ → module: 'MySQLAgent(Windows)'
+ → sql: 'SELECT * FROM main_task WHERE task_id = %s'
+2025-10-30 13:56:55.939 | INFO | mysql_agent:134 - 查询执行成功
+ → module: 'MySQLAgent(Windows)'
+ → 行数: 1
+2025-10-30 13:56:55.941 | ERROR | 1757831752:141 - 任务执行失败: RSS基于规则数据处理
+ → module: 'TaskNotebook'
+2025-10-30 13:57:07.496 | INFO | task_scheduler:27 - 任务调度器已初始化，最大工作线程数: 5
+ → module: 'TaskScheduler'
+2025-10-30 13:57:10.827 | DEBUG | mysql_agent:116 - 执行SQL查询
+ → module: 'MySQLAgent(Windows)'
+ → sql: 'SELECT * FROM main_task WHERE task_id = %s'
+2025-10-30 13:57:11.121 | INFO | mysql_agent:134 - 查询执行成功
+ → module: 'MySQLAgent(Windows)'
+ → 行数: 1
+2025-10-30 13:57:11.125 | ERROR | 1757831752:141 - 任务执行失败: RSS基于规则数据处理
+ → module: 'TaskNotebook'
+2025-10-30 13:57:49.005 | DEBUG | mysql_agent:116 - 执行SQL查询
+ → module: 'MySQLAgent(Windows)'
+ → sql: 'SELECT * FROM main_task WHERE task_id = %s'
+2025-10-30 13:57:49.286 | INFO | mysql_agent:134 - 查询执行成功
+ → module: 'MySQLAgent(Windows)'
+ → 行数: 1
+2025-10-30 13:57:49.737 | INFO | processor_rss_data:65 - RSS数据处理器初始化完成
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:49.738 | INFO | processor_rss_data:335 - 开始处理RSS数据...
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:49.740 | DEBUG | mysql_agent:116 - 执行SQL查询
+ → module: 'MySQLAgent(Windows)'
+ → sql: '\n SELECT id, 文章标题, 文章摘要, 发布时间, 来源URL, 文章链接\n FROM collector_rss_subscriptions\n WHERE 是否已处理 = 0\n ORDER BY 发布时间 DESC\n LIMIT %s\n '
+2025-10-30 13:57:50.013 | INFO | processor_rss_data:107 - 成功加载 6 条未处理的RSS数据
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:50.014 | INFO | processor_rss_data:146 - 成功加载停用词表，共 98 个词
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:50.015 | INFO | processor_rss_data:82 - 成功加载汽车后市场关键词，共 37 个
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:50.899 | INFO | processor_rss_data:235 - 数据处理完成，共处理 6 条记录
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:50.905 | INFO | processor_rss_data:246 - 过滤出 0 条汽车后市场相关新闻
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:51.015 | DEBUG | mysql_agent:614 - 更新执行完成
+ → module: 'MySQLAgent(Windows)'
+ → 受影响行数: 6
+2025-10-30 13:57:51.015 | INFO | processor_rss_data:129 - 成功标记 6 条数据为已处理
+ → module: 'RSSDataProcessor'
+2025-10-30 13:57:51.016 | INFO | processor_rss_data:372 - RSS数据处理完成
+ → module: 'RSSDataProcessor'
+ → total_articles: 6
+ → filtered_articles: 0
+ → filter_rate: 0.0
+ → processing_time: '2025-10-30 13:57:50'
+ → mark_success: True
+2025-10-30 13:57:53.702 | DEBUG | mysql_agent:614 - 更新执行完成
+ → module: 'MySQLAgent(Windows)'
+ → 受影响行数: 1
diff --git a/logs/errors.log b/logs/errors.log
index 555bea5..c802960 100644
--- a/logs/errors.log
+++ b/logs/errors.log
@@ -71074,3 +71074,744 @@ AttributeError: 类 RSSDataProcessor 中未找到方法 main
2025-10-29 17:34:57.329 | ERROR | daily:83 - 生成日报失败: No module named 'markdown'
→ exc_info: True
+2025-10-30 13:48:20.349 | ERROR | 1757831752:141 - 任务执行失败: RSS基于规则数据处理
+ → module: 'TaskNotebook'
+Traceback (most recent call last):
+
+ File "", line 198, in _run_module_as_main
+ File "", line 88, in _run_code
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel_launcher.py", line 18, in
+ app.launch_new_instance()
+ │ └ >
+ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelapp.py", line 739, in start
+ self.io_loop.start()
+ │ │ └
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\tornado\platform\asyncio.py", line 211, in start
+ self.asyncio_loop.run_forever()
+ │ │ └
+ │ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 645, in run_forever
+ self._run_once()
+ │ └
+ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 1999, in _run_once
+ handle._run()
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\events.py", line 88, in _run
+ self._context.run(self._callback, *self._args)
+ │ │ │ │ │ └
+ │ │ │ │ └ , ...],))>)>
+ │ │ │ └
+ │ │ └ , ...],))>)>
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 519, in dispatch_queue
+ await self.process_one()
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 508, in process_one
+ await dispatch(*args)
+ │ └ ([, ')>, , >
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 400, in dispatch_shell
+ await result
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 368, in execute_request
+ await super().execute_request(stream, ident, parent)
+ │ │ └ {'header': {'date': datetime.datetime(2025, 10, 30, 5, 48, 20, 70000, tzinfo=tzutc()), 'msg_id': '7653bb92-3d92-4584-b5fd-f30...
+ │ └ [b'be29372e-3914-4138-ba04-8dcacb3dcfbe']
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 767, in execute_request
+ reply_content = await reply_content
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 455, in do_execute
+ res = shell.run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\zmqshell.py", line 577, in run_cell
+ return super().run_cell(*args, **kwargs)
+ │ └ {'store_history': True, 'silent': False, 'cell_id': 'vscode-notebook-cell:/d%3A/Idea%20Project/intelligence_system/tools/task...
+ └ ('# 手动执行任务（异步方式，快速返回）\ndef run_task_manually(task_id):\n display(Markdown(f"### 正在手动执行任务ID {task_id}..."))\n success = ...
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3098, in run_cell
+ result = self._run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3153, in _run_cell
+ result = runner(coro)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\async_helpers.py", line 128, in _pseudo_sync_runner
+ coro.send(None)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3362, in run_cell_async
+ has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
+ │ │ │ │ └ 'C:\\Users\\zy187\\AppData\\Local\\Temp\\ipykernel_15044\\1819114417.py'
+ │ │ │ └ [, ,
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3607, in run_ast_nodes
+ if await self.run_code(code, result, async_=asy):
+ │ │ │ │ └ False
+ │ │ │ └ at 0x0000024191C1D610, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3667, in run_code
+ exec(code_obj, self.user_global_ns, self.user_ns)
+ │ │ │ │ └
+ │ │ │ └
+ │ │ └
+ │ └
+ └ at 0x0000024191C1D610, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 45, in
+ run_task_with_details(2)
+ └
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 16, in run_task_with_details
+ result = manager.run_task_synchronously(task_id)
+ │ │ └ 2
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+> File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1757831752.py", line 122, in run_task_synchronously
+ self.scheduler._execute_task_logic(task)
+ │ │ │ └ {'task_id': 2, 'task_name': 'RSS基于规则数据处理', 'task_type': 'processor', 'module_path': 'processors.processor_rss_data', 'cron_ex...
+ │ │ └
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+ File "d:\Idea Project\intelligence_system\system_management\scheduler\task_scheduler.py", line 278, in _execute_task_logic
+ raise AttributeError(f"模块 {module_name} 中未找到类 {class_name}")
+ │ └ 'processor_rss_data'
+ └ 'processors'
+
+AttributeError: 模块 processors 中未找到类 processor_rss_data
+
+Traceback (most recent call last):
+
+ File "", line 198, in _run_module_as_main
+ File "", line 88, in _run_code
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel_launcher.py", line 18, in
+ app.launch_new_instance()
+ │ └ >
+ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelapp.py", line 739, in start
+ self.io_loop.start()
+ │ │ └
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\tornado\platform\asyncio.py", line 211, in start
+ self.asyncio_loop.run_forever()
+ │ │ └
+ │ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 645, in run_forever
+ self._run_once()
+ │ └
+ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 1999, in _run_once
+ handle._run()
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\events.py", line 88, in _run
+ self._context.run(self._callback, *self._args)
+ │ │ │ │ │ └
+ │ │ │ │ └ , ...],))>)>
+ │ │ │ └
+ │ │ └ , ...],))>)>
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 519, in dispatch_queue
+ await self.process_one()
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 508, in process_one
+ await dispatch(*args)
+ │ └ ([, ')>, , >
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 400, in dispatch_shell
+ await result
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 368, in execute_request
+ await super().execute_request(stream, ident, parent)
+ │ │ └ {'header': {'date': datetime.datetime(2025, 10, 30, 5, 48, 20, 70000, tzinfo=tzutc()), 'msg_id': '7653bb92-3d92-4584-b5fd-f30...
+ │ └ [b'be29372e-3914-4138-ba04-8dcacb3dcfbe']
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 767, in execute_request
+ reply_content = await reply_content
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 455, in do_execute
+ res = shell.run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\zmqshell.py", line 577, in run_cell
+ return super().run_cell(*args, **kwargs)
+ │ └ {'store_history': True, 'silent': False, 'cell_id': 'vscode-notebook-cell:/d%3A/Idea%20Project/intelligence_system/tools/task...
+ └ ('# 手动执行任务（异步方式，快速返回）\ndef run_task_manually(task_id):\n display(Markdown(f"### 正在手动执行任务ID {task_id}..."))\n success = ...
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3098, in run_cell
+ result = self._run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3153, in _run_cell
+ result = runner(coro)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\async_helpers.py", line 128, in _pseudo_sync_runner
+ coro.send(None)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3362, in run_cell_async
+ has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
+ │ │ │ │ └ 'C:\\Users\\zy187\\AppData\\Local\\Temp\\ipykernel_15044\\1819114417.py'
+ │ │ │ └ [, ,
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3607, in run_ast_nodes
+ if await self.run_code(code, result, async_=asy):
+ │ │ │ │ └ False
+ │ │ │ └ at 0x0000024191C1D610, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3667, in run_code
+ exec(code_obj, self.user_global_ns, self.user_ns)
+ │ │ │ │ └
+ │ │ │ └
+ │ │ └
+ │ └
+ └ at 0x0000024191C1D610, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 45, in
+ run_task_with_details(2)
+ └
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 16, in run_task_with_details
+ result = manager.run_task_synchronously(task_id)
+ │ │ └ 2
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+> File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1757831752.py", line 122, in run_task_synchronously
+ self.scheduler._execute_task_logic(task)
+ │ │ │ └ {'task_id': 2, 'task_name': 'RSS基于规则数据处理', 'task_type': 'processor', 'module_path': 'processors.processor_rss_data', 'cron_ex...
+ │ │ └
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+ File "d:\Idea Project\intelligence_system\system_management\scheduler\task_scheduler.py", line 278, in _execute_task_logic
+ raise AttributeError(f"模块 {module_name} 中未找到类 {class_name}")
+ │ └ 'processor_rss_data'
+ └ 'processors'
+
+AttributeError: 模块 processors 中未找到类 processor_rss_data
+2025-10-30 13:56:55.941 | ERROR | 1757831752:141 - 任务执行失败: RSS基于规则数据处理
+ → module: 'TaskNotebook'
+Traceback (most recent call last):
+
+ File "", line 198, in _run_module_as_main
+ File "", line 88, in _run_code
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel_launcher.py", line 18, in
+ app.launch_new_instance()
+ │ └ >
+ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelapp.py", line 739, in start
+ self.io_loop.start()
+ │ │ └
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\tornado\platform\asyncio.py", line 211, in start
+ self.asyncio_loop.run_forever()
+ │ │ └
+ │ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 645, in run_forever
+ self._run_once()
+ │ └
+ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 1999, in _run_once
+ handle._run()
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\events.py", line 88, in _run
+ self._context.run(self._callback, *self._args)
+ │ │ │ │ │ └
+ │ │ │ │ └ , ...],))>)>
+ │ │ │ └
+ │ │ └ , ...],))>)>
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 519, in dispatch_queue
+ await self.process_one()
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 508, in process_one
+ await dispatch(*args)
+ │ └ ([, ')>, , >
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 400, in dispatch_shell
+ await result
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 368, in execute_request
+ await super().execute_request(stream, ident, parent)
+ │ │ └ {'header': {'date': datetime.datetime(2025, 10, 30, 5, 56, 55, 692000, tzinfo=tzutc()), 'msg_id': '788ee0fd-a13f-4e53-98b0-e9...
+ │ └ [b'be29372e-3914-4138-ba04-8dcacb3dcfbe']
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 767, in execute_request
+ reply_content = await reply_content
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 455, in do_execute
+ res = shell.run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\zmqshell.py", line 577, in run_cell
+ return super().run_cell(*args, **kwargs)
+ │ └ {'store_history': True, 'silent': False, 'cell_id': 'vscode-notebook-cell:/d%3A/Idea%20Project/intelligence_system/tools/task...
+ └ ('# 手动执行任务（异步方式，快速返回）\ndef run_task_manually(task_id):\n display(Markdown(f"### 正在手动执行任务ID {task_id}..."))\n success = ...
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3098, in run_cell
+ result = self._run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3153, in _run_cell
+ result = runner(coro)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\async_helpers.py", line 128, in _pseudo_sync_runner
+ coro.send(None)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3362, in run_cell_async
+ has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
+ │ │ │ │ └ 'C:\\Users\\zy187\\AppData\\Local\\Temp\\ipykernel_15044\\1819114417.py'
+ │ │ │ └ [, ,
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3607, in run_ast_nodes
+ if await self.run_code(code, result, async_=asy):
+ │ │ │ │ └ False
+ │ │ │ └ at 0x0000024191CC1DF0, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3667, in run_code
+ exec(code_obj, self.user_global_ns, self.user_ns)
+ │ │ │ │ └
+ │ │ │ └
+ │ │ └
+ │ └
+ └ at 0x0000024191CC1DF0, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 45, in
+ run_task_with_details(2)
+ └
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 16, in run_task_with_details
+ result = manager.run_task_synchronously(task_id)
+ │ │ └ 2
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+> File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1757831752.py", line 122, in run_task_synchronously
+ self.scheduler._execute_task_logic(task)
+ │ │ │ └ {'task_id': 2, 'task_name': 'RSS基于规则数据处理', 'task_type': 'processor', 'module_path': 'processors.processor_rss_data', 'cron_ex...
+ │ │ └
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+ File "d:\Idea Project\intelligence_system\system_management\scheduler\task_scheduler.py", line 278, in _execute_task_logic
+ raise AttributeError(f"模块 {module_name} 中未找到类 {class_name}")
+ │ └ 'processor_rss_data'
+ └ 'processors'
+
+AttributeError: 模块 processors 中未找到类 processor_rss_data
+
+Traceback (most recent call last):
+
+ File "", line 198, in _run_module_as_main
+ File "", line 88, in _run_code
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel_launcher.py", line 18, in
+ app.launch_new_instance()
+ │ └ >
+ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelapp.py", line 739, in start
+ self.io_loop.start()
+ │ │ └
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\tornado\platform\asyncio.py", line 211, in start
+ self.asyncio_loop.run_forever()
+ │ │ └
+ │ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 645, in run_forever
+ self._run_once()
+ │ └
+ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 1999, in _run_once
+ handle._run()
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\events.py", line 88, in _run
+ self._context.run(self._callback, *self._args)
+ │ │ │ │ │ └
+ │ │ │ │ └ , ...],))>)>
+ │ │ │ └
+ │ │ └ , ...],))>)>
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 519, in dispatch_queue
+ await self.process_one()
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 508, in process_one
+ await dispatch(*args)
+ │ └ ([, ')>, , >
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 400, in dispatch_shell
+ await result
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 368, in execute_request
+ await super().execute_request(stream, ident, parent)
+ │ │ └ {'header': {'date': datetime.datetime(2025, 10, 30, 5, 56, 55, 692000, tzinfo=tzutc()), 'msg_id': '788ee0fd-a13f-4e53-98b0-e9...
+ │ └ [b'be29372e-3914-4138-ba04-8dcacb3dcfbe']
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 767, in execute_request
+ reply_content = await reply_content
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 455, in do_execute
+ res = shell.run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\zmqshell.py", line 577, in run_cell
+ return super().run_cell(*args, **kwargs)
+ │ └ {'store_history': True, 'silent': False, 'cell_id': 'vscode-notebook-cell:/d%3A/Idea%20Project/intelligence_system/tools/task...
+ └ ('# 手动执行任务（异步方式，快速返回）\ndef run_task_manually(task_id):\n display(Markdown(f"### 正在手动执行任务ID {task_id}..."))\n success = ...
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3098, in run_cell
+ result = self._run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3153, in _run_cell
+ result = runner(coro)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\async_helpers.py", line 128, in _pseudo_sync_runner
+ coro.send(None)
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3362, in run_cell_async
+ has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
+ │ │ │ │ └ 'C:\\Users\\zy187\\AppData\\Local\\Temp\\ipykernel_15044\\1819114417.py'
+ │ │ │ └ [, ,
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3607, in run_ast_nodes
+ if await self.run_code(code, result, async_=asy):
+ │ │ │ │ └ False
+ │ │ │ └ at 0x0000024191CC1DF0, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3667, in run_code
+ exec(code_obj, self.user_global_ns, self.user_ns)
+ │ │ │ │ └
+ │ │ │ └
+ │ │ └
+ │ └
+ └ at 0x0000024191CC1DF0, file "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 1>
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 45, in
+ run_task_with_details(2)
+ └
+
+ File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1819114417.py", line 16, in run_task_with_details
+ result = manager.run_task_synchronously(task_id)
+ │ │ └ 2
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+> File "C:\Users\zy187\AppData\Local\Temp\ipykernel_15044\1757831752.py", line 122, in run_task_synchronously
+ self.scheduler._execute_task_logic(task)
+ │ │ │ └ {'task_id': 2, 'task_name': 'RSS基于规则数据处理', 'task_type': 'processor', 'module_path': 'processors.processor_rss_data', 'cron_ex...
+ │ │ └
+ │ └
+ └ <__main__.TaskManager object at 0x00000241919D6AB0>
+
+ File "d:\Idea Project\intelligence_system\system_management\scheduler\task_scheduler.py", line 278, in _execute_task_logic
+ raise AttributeError(f"模块 {module_name} 中未找到类 {class_name}")
+ │ └ 'processor_rss_data'
+ └ 'processors'
+
+AttributeError: 模块 processors 中未找到类 processor_rss_data
+2025-10-30 13:57:11.125 | ERROR | 1757831752:141 - 任务执行失败: RSS基于规则数据处理
+ → module: 'TaskNotebook'
+Traceback (most recent call last):
+
+ File "", line 198, in _run_module_as_main
+ File "", line 88, in _run_code
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel_launcher.py", line 18, in
+ app.launch_new_instance()
+ │ └ >
+ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelapp.py", line 739, in start
+ self.io_loop.start()
+ │ │ └
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\tornado\platform\asyncio.py", line 211, in start
+ self.asyncio_loop.run_forever()
+ │ │ └
+ │ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 645, in run_forever
+ self._run_once()
+ │ └
+ └ <_WindowsSelectorEventLoop running=True closed=False debug=False>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\base_events.py", line 1999, in _run_once
+ handle._run()
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\asyncio\events.py", line 88, in _run
+ self._context.run(self._callback, *self._args)
+ │ │ │ │ │ └
+ │ │ │ │ └ , ...],))>)>
+ │ │ │ └
+ │ │ └ , ...],))>)>
+ │ └
+ └ , ...],))>)>
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 519, in dispatch_queue
+ await self.process_one()
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 508, in process_one
+ await dispatch(*args)
+ │ └ ([, ')>, , >
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 400, in dispatch_shell
+ await result
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 368, in execute_request
+ await super().execute_request(stream, ident, parent)
+ │ │ └ {'header': {'date': datetime.datetime(2025, 10, 30, 5, 57, 10, 815000, tzinfo=tzutc()), 'msg_id': '132b59a7-4a02-4a8d-a25c-e2...
+ │ └ [b'4c713768-9d1a-49ca-83ed-6814787009a5']
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\kernelbase.py", line 767, in execute_request
+ reply_content = await reply_content
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\ipkernel.py", line 455, in do_execute
+ res = shell.run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\ipykernel\zmqshell.py", line 577, in run_cell
+ return super().run_cell(*args, **kwargs)
+ │ └ {'store_history': True, 'silent': False, 'cell_id': 'vscode-notebook-cell:/d%3A/Idea%20Project/intelligence_system/tools/task...
+ └ ('# 手动执行任务（异步方式，快速返回）\ndef run_task_manually(task_id):\n display(Markdown(f"### 正在手动执行任务ID {task_id}..."))\n success = ...
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3098, in run_cell
+ result = self._run_cell(
+ │ └
+ └
+ File "d:\ProgramTools\anaconda3\envs\intelligence_system\Lib\site-packages\IPython\core\interactiveshell.py", line 3153, in _run_cell
+ result = runner(coro)
+ │ └