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60 Commits

Author SHA1 Message Date
v6ole 18f415b363 fix: 企微 API 通过代理绕过 IP 白名单限制,补充错误日志
- 新增 WECHAT_API_BASE_URL 配置项,支持企微 API 代理转发
- _send_message 增加 API 错误日志(errcode + errmsg)
- _get_access_token 增加失败日志
- handle_text 不再为空,返回菜单引导提示
- 防重入触发时通知用户等待时间
- menu.py API 调用统一使用配置化的 base URL

Co-Authored-By: Claude <noreply@anthropic.com>
2026-06-12 08:43:03 +08:00
v6ole 103de16a8f fix: 白名单校验改为不区分大小写 2026-05-26 16:10:43 +08:00
v6ole a51161b5f3 feat: 企微菜单新增 AI 分析开关 + 白名单控制
- 新增 ai_whitelist 配置项,仅白名单用户可操作 AI 开关
- 新增 app/services/ai_state.py 运行时开关模块
- 系统管理菜单新增「AI 分析」按钮 (toggle_ai)
- 监控配置、系统状态显示 AI 状态和 AI 标记统计
- pipeline 改用运行时开关 is_ai_enabled()
2026-05-26 16:02:26 +08:00
v6ole 68215aa804 fix: 改进正文提取,支持政采云 SPA API 和大化县政府网 div.article-con
- 新增 _extract_zcy_content(): 通过政采云隐藏 API 获取公告正文
- 新增 _extract_dahuagov_content(): 大化县专用提取,支持 div.article-con
- 通用提取器新增更多选择器
2026-05-26 15:47:48 +08:00
v6ole 754214692e feat: 接入 DeepSeek AI 分析公告是否为中国电信可承接项目
- 新增 ai_enabled/ai_api_key/ai_base_url/ai_model 等配置项,通过 .env 管理
- 新增 app/services/ai_analyzer.py — DeepSeek API 调用 + 详情页正文提取
- 新增 extract_page_content() 从详情页抓取正文供 AI 分析
- Announcement 模型新增 ai_relevant / ai_analysis 字段
- 流水线集成 AI 分析步骤(关键词匹配后、通知前)
- AI 标记为可承接的项目额外发送 markdown 着重通知
- 创建 alembic 迁移版本 6e8f4c2d1b0a
2026-05-26 11:45:51 +08:00
v6ole 136941d84e docs: 添加项目说明 README.md
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 18:16:56 +08:00
v6ole 4f16134955 fix: 最新公告防重入覆盖整个函数,推送改为时间升序间隔1秒
- 防重入锁移到函数入口,60秒内重复点击直接忽略,避免企微重试导致重复推送
- 取最新6条后按 publish_date 升序推送,企微向上滑即为时间正序
- 每条间隔1秒发送

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 17:59:10 +08:00
v6ole c01a3d427b fix: 存库前先标记 keyword_matched,修复历史数据全为 false 的问题
pipeline 原来先存库再过滤,导致 keyword_matched 永远是 False。
改为先标记再存库,最新公告查询才能正确区分两个来源。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 17:51:00 +08:00
v6ole dc3ca1f76c feat: 最新公告点击时触发爬取并优化查询逻辑
- 点击时先爬取一次(60秒防重入),爬取期间发送提示
- 查询改为:广西政采网关键词匹配 + 大化县政府网全部,按时间倒序取6条

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 17:38:58 +08:00
v6ole 6d1d512fca feat: 最新公告改为全来源最新6条按时间排序
去掉关键词过滤限制,两个来源的公告统一按 publish_date 倒序取6条。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 17:21:48 +08:00
v6ole b2d0503bc2 fix: 大化县政府网公告抓取详情页获取精确发布时间
列表页只有日期(00:00),改为并发抓取详情页解析 <meta name="PubDate">
获取精确时分秒,失败时保留列表页日期作为 fallback。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 17:16:33 +08:00
v6ole 77c6722a92 fix: 修复广西政采网公告时间时区错误
fromtimestamp() 在 UTC 服务器上会少 8 小时,改为明确指定 Asia/Shanghai 时区解析。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-12 10:21:26 +08:00
v6ole 048fca283d fix: 最新公告恢复关键词过滤 2026-05-10 14:29:33 +08:00
v6ole 0121017272 fix: 最新公告直接返回最新5条 + 显示来源网站 + 菜单调整
- latest_announcements 不再过滤 keyword_matched,返回全部最新5条
- 每条公告显示来源网站(广西政府采购网/大化县政府网采购公告)
- 菜单「今日公告」改为顶级按钮「最新公告」,移除子菜单重复项
2026-05-10 14:29:02 +08:00
v6ole 24d844bf44 fix: /crawl/sources 包含独立爬虫来源 + trigger 支持 spider_name
- sources 接口原来只返回 GXGP 子来源,遗漏了大化县政府网
- trigger 接口现在支持 spider_name 参数指定单个爬虫
2026-05-10 14:22:58 +08:00
v6ole 9f90e16661 feat(wechat): 新增企微菜单功能并修复重复触发问题
- 新增「查询」菜单组:监控配置、系统状态、今日工作日、最新公告
- 新增「系统管理」子菜单:暂停/恢复定时任务处理器
- 修复立即爬取被企微重试机制触发多次的问题(60秒防重入锁)
- docker-compose 补充 image 名称和 container_name

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-10 14:01:11 +08:00
v6ole d84c838e76 chore: 删除 dead code — markdown 文件生成功能
onu.md 和 markdown_generated 从未被实际使用,是旧项目遗留代码
2026-05-10 13:59:34 +08:00
v6ole e1c9a985ca chore: 添加 vendor/build 和 *.egg-info 到 gitignore 2026-05-09 19:15:16 +08:00
v6ole 2996920277 feat: 接入 LogHive 远程日志系统
- 添加 LogHiveHandler,启动时自动挂载到 root logger
- 所有 logging 日志自动异步发送到 LogHive,不影响主业务
- vendored loghive-client 包,Docker 构建时自动安装
- API Key 缺失时自动跳过,不影响本地开发
2026-05-09 19:14:56 +08:00
v6ole 1f18d2ec87 feat: 添加中国节假日感知定时功能
- 新增 chinese_holidays 表,通过 timor.tech API 同步节假日数据
- 修正 holiday 字段解读:holiday=true → 休息日,holiday=false → 调休工作日
- 工作日 8:00-22:00 每小时爬取,周末/节假日/夜间自动跳过
- 新增 /api/v1/holidays/sync 和 /api/v1/holidays/today 接口
- 企微菜单新增「同步节假日」按钮,支持手动触发同步
2026-05-09 18:27:27 +08:00
v6ole c3e06c997f fix: 移除 textcard 通知中的 HTML 标签,企业微信客户端不支持 2026-05-09 17:54:42 +08:00
v6ole 248866d73f chore: 修改宿主机端口映射 8000 → 18001 2026-05-09 17:47:43 +08:00
v6ole cbeb3c3504 fix: 连接 Pipeline 到爬取流程 + 夜间跳过 + 断网恢复
- CrawlService.run_spider 现在自动调用 PostCrawlPipeline(爬取→存储→筛选→去重→推送)
- 定时任务添加 22:00-06:00 夜间跳过逻辑
- 断网恢复后不会漏公告:爬虫每次从 API 按日期倒序抓取,未推送的公告下次自动补推
- Pipeline 的 _exclude_sent + mark_sent 防止重复推送
2026-05-09 16:10:30 +08:00
v6ole d851dafea9 fix: 防止重复推送通知 — 添加已发送检查 + GXGP 标记已发送
- Pipeline 新增 _exclude_sent() 方法,通知前查询数据库跳过 is_sent=True 的公告
- GXGP Spider mark_sent 改为 True,配合去重逻辑防止每次爬取重复通知
2026-05-09 16:00:04 +08:00
v6ole 6fbdf097b3 fix: 定时任务 cron 表达式改为从配置读取,消除硬编码 2026-05-09 15:55:56 +08:00
v6ole 241465ea7d chore: 删除无用文件(旧 cron 脚本、uWSGI 配置、过时 README 等) 2026-05-09 15:52:24 +08:00
v6ole d114d5dd6a chore: 添加 .claude/ 到 .gitignore 2026-05-09 15:45:29 +08:00
v6ole b3953bb71c fix: 修复公告列表 start_date/end_date 参数未转换为 date 对象导致 500 错误 2026-05-09 15:41:09 +08:00
v6ole 2efd3ce1a6 chore: 删除旧 Flask 项目文件,迁移到 FastAPI 架构
- 删除 gx_gp_monitor/ 旧项目目录(Flask CLI 架构)
- 删除 app.py(旧 WSGI 入口)
- 更新 alembic/env.py 为异步引擎(create_async_engine + run_sync)
2026-05-09 15:38:02 +08:00
v6ole 5cd2c5951b fix: 修复迁移中 is_sent 列缺少 server_default 导致 NOT NULL 约束失败
添加 server_default=sa.false() 确保已有数据行能正确设置默认值。
同时迁移旧表数据到 announcements 表后再删除旧表,避免数据丢失。
2026-05-09 15:36:42 +08:00
v6ole 808f3101e3 fix: 修复公告 API 路由顺序 — /today 和 /stats 在 /{id} 之前匹配
将具体路由移到参数化路由之前,避免 "today"/"stats" 被 {announcement_id} 作为整数解析而返回 422。
2026-05-09 15:19:49 +08:00
v6ole acff263dba chore: 从 git 跟踪中移除日志文件、onu.md 和 __pycache__
- 移除 logs/ 目录下的日志文件
- 移除 onu.md 生成文件
- 移除所有 __pycache__/ 目录
- 更新 .gitignore 防止再次提交
2026-05-09 15:03:40 +08:00
v6ole 04b78497b9 chore: 从 git 跟踪中移除含敏感信息的 config.yaml
将 config.yaml 添加到 .gitignore,并从 git 跟踪中移除。
配置现已通过 .env 环境变量管理,密码/token/AES key 不再提交到仓库。
2026-05-09 15:02:52 +08:00
v6ole 7455d7e426 chore: ruff 代码检查与修复
130 issues auto-fixed (import ordering, UP045/UP006 type annotations),
33 issues manually fixed (E712/E501/E402/E722 + N818 rename + per-file
wechat ignore for N8xx naming conventions). All 33 tests pass.
2026-05-09 14:28:09 +08:00
v6ole 02ea794015 feat: 添加 Docker 部署配置
通过 Dockerfile 和 docker-compose.yml 提供容器化部署方案。
2026-05-09 14:20:59 +08:00
v6ole a0a06dfd8c feat: 添加 API 路由(公告/爬取/微信回调/调度器)+ 健康检查测试 2026-05-09 14:19:11 +08:00
v6ole 3616e5799d feat: 添加 NotificationService 通知服务 + 测试 2026-05-09 14:11:49 +08:00
v6ole 52bb1f53cc feat: 迁移企业微信模块(crypto + client + handler) 2026-05-09 14:09:52 +08:00
v6ole 76b734b0a9 fix: 修复 filter_by_date 类型处理 + _save_to_db rowcount 0 值 bug 2026-05-09 14:06:59 +08:00
v6ole cad1390534 feat: 添加 PostCrawlPipeline 统一管道 + 筛选服务 + 测试 2026-05-09 13:57:37 +08:00
v6ole 022d348052 feat: 添加 CrawlService 爬取编排器 + 测试 2026-05-09 13:50:58 +08:00
v6ole 5e0582d499 feat: 添加 Dahuagov Spider(大化县政府网爬虫)+ 测试 2026-05-09 13:47:48 +08:00
v6ole b1bbf64287 feat: 添加 GXGP Spider(广西政府采购网爬虫)+ 测试 2026-05-09 13:44:45 +08:00
v6ole 7db14ee411 feat: 添加数据解析器模块 + 测试 2026-05-09 13:41:35 +08:00
v6ole d9af819d2e feat: 添加 Spider 基类 + Pipeline 配置 + 测试 2026-05-09 13:37:40 +08:00
v6ole a994dc5f53 feat: 添加 SQLAlchemy 模型 + Alembic 数据库迁移 2026-05-09 13:35:08 +08:00
v6ole 1cdd0bcab1 feat: 创建 FastAPI 项目骨架(config + main + 依赖管理) 2026-05-09 13:30:03 +08:00
v6ole 2324725c6f docs: 添加 FastAPI + Docker 迁移实施计划(15 个任务,TDD) 2026-05-09 13:06:32 +08:00
v6ole 8800d4b2b1 docs: 添加爬虫模块化设计(Spider 基类 + Pipeline 策略模式) 2026-05-09 12:52:48 +08:00
v6ole 79ef7c66af docs: 添加 FastAPI + Docker 迁移设计文档 2026-05-09 12:18:07 +08:00
v6ole c548a8b5bd ```
feat(core): 添加大化县政府网采购公告数据表和相关功能

- 创建 dahuagov_announcements 表用于存储大化县政府网采购公告
- 添加相关索引以提高查询性能
- 实现 save_dahuagov_announcements、get_new_dahuagov_announcements
  和 mark_dahuagov_announcements_sent 方法
- 修改统计查询以包含大化县公告数据
- 更新内容哈希检查逻辑以支持新表

feat(cron): 集成大化县政府网采购公告爬取功能

- 导入大化县政府网爬虫模块
- 修改定时任务流程以同时爬取广西政府采购网和大化县政府网
- 对不同来源公告采用不同处理策略:
  - 广西政府采购网:关键词筛选后推送
  - 大化县政府网:全部推送,不过滤关键词
- 分别处理和统计两个来源的公告数据
- 实现独立的通知发送和状态更新机制

feat(notification): 优化企业微信通知显示大化县来源标识

- 为不同来源公告添加前缀标识(【大化县政府网】或【广西政府采购网】)
- 根据公告来源动态调整通知标题:
  - 单一来源显示具体来源
  - 双来源显示"双源监控"标识
- 改进通知卡片的来源区分度,便于用户识别公告来源
```
2026-05-09 10:55:00 +08:00
v6ole bd8df98e9a Remove obsolete scripts related to WeChat menu creation, server functionality, and cron job scheduling. Update project structure by deleting unnecessary files to streamline the codebase. 2026-01-28 16:54:40 +08:00
v6ole b37e8ce581 删除无用文件 2026-01-09 15:17:42 +08:00
v6ole f00068f804 修改通知模板 2026-01-09 11:07:10 +08:00
v6ole 72dc40186d Refactor the cron job functionality to transition from a crawling to a searching model. Update related documentation and scripts to reflect the new terminology and functionality, including changes in the README and script comments. Enhance WeChat menu and message handling to support the new search features, ensuring clarity in user interactions and logging. 2026-01-09 08:19:09 +08:00
v6ole 4000438f49 Remove deprecated files and scripts related to cron jobs and WeChat server functionality. Update README to include new server startup methods using uWSGI and Gunicorn. Ensure callback server configuration is loaded properly in production environments. Clean up unnecessary test scripts and example files to streamline the project structure. 2026-01-08 21:59:39 +08:00
v6ole 85cd7e9d3e Enhance manual crawling functionality in GXGPMonitorApp to skip database saving for both announcements and filtered results. Update logging to reflect manual crawl mode actions, ensuring clarity in the process. Adjusted comments for better understanding of the manual crawling logic. 2026-01-08 19:12:37 +08:00
v6ole 04d254cfef Implement manual crawling feature in GXGPMonitorApp, allowing users to filter announcements by date and keywords. Update Markdown generation to include time period and keyword details. Remove outdated onu.md file. Enhance WeChat message handling to support manual crawl results and improve logging for better traceability. 2026-01-08 18:24:00 +08:00
v6ole b52d9c069d Update announcement timestamp in onu.md and enhance logger formatting to preserve original message and levelname. Remove outdated onu.md file and log files, and add type hints in main.py for better code clarity. 2026-01-08 16:40:10 +08:00
v6ole 5f8ebd2da5 Refactor logger to implement a global file handler, preventing duplicate log entries. Updated logger initialization to ensure a single file handler is used across all loggers, enhancing logging efficiency and clarity. 2026-01-08 16:18:41 +08:00
172 changed files with 7966 additions and 13630 deletions
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# 应用
DEBUG=false
LOG_LEVEL=INFO
# 数据库
DATABASE_URL=postgresql+asyncpg://gx-gp-notify:password@10.10.10.14:5432/gx-gp-notify
# 爬虫
CRAWLER_BASE_URL=https://zfcg.gxzf.gov.cn
CRAWLER_KEYWORDS=["大化"]
CRAWLER_MAX_PAGES=10
CRAWLER_TIMEOUT=30
# 企业微信
WECHAT_ENABLED=true
WECHAT_CORP_ID=ww69e8e44636f47780
WECHAT_AGENT_ID=1000007
WECHAT_SECRET=
WECHAT_TOKEN=
WECHAT_ENCODING_AES_KEY=
WECHAT_PORT=18001
WECHAT_HOST=0.0.0.0
# 企微 API 代理(可选),用于绕过 IP 白名单限制
# 留空则直连 https://qyapi.weixin.qq.com
WECHAT_API_BASE_URL=https://qyapi.weixin.qq.com
# 定时任务
SCHEDULER_ENABLED=true
SCHEDULER_CRON=0 8-21 * * *
# LogHive 日志系统
LOGHIVE_ENDPOINT=http://10.10.10.14:8000
LOGHIVE_PROJECT=gx-gp-notify
LOGHIVE_API_KEY=
# AI 分析 (DeepSeek)
AI_ENABLED=false
# AI 管理白名单(企微用户ID,逗号分隔),留空表示所有人可操作
AI_WHITELIST=
AI_API_KEY=sk-your-deepseek-api-key
AI_BASE_URL=https://api.deepseek.com/v1
AI_MODEL=deepseek-chat
AI_TIMEOUT=30
AI_ANALYSIS_TITLE=🔔 中国电信可承接项目
# 自定义分析提示词(可选),不设置则用代码内置默认值
# 使用 \n 表示换行,支持 {title} {purchase_name} {announcement_type} {content} 四个占位符
# AI_PROMPT_TEMPLATE=你是一个政府采购项目分析师...\n\n--- 公告信息 ---\n标题:{title}\n...
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.claude/
.env
logs/
*.log
__pycache__/
*.pyc
.venv/
.ruff_cache/
.pytest_cache/
*.egg-info/
dist/
config.yaml
gx_gp_monitor/config/config.yaml
onu.md
vendor/build/
vendor/*.egg-info/
# Added by code-review-graph
.code-review-graph/
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@@ -0,0 +1,108 @@
# GX-GP-Notify
广西政府采购公告监控系统,自动爬取广西政府采购网和大化县政府网的公告,通过企业微信推送关键词匹配的公告。
## 功能
- **定时爬取**:按 cron 规则自动爬取,工作日 8:00-21:00 每小时执行
- **关键词过滤**:广西政采网公告按关键词过滤(默认:`大化`),大化县政府网全量爬取
- **企微推送**:新公告实时推送到企业微信应用
- **去重**:基于内容 hash 去重,避免重复入库和推送
- **节假日感知**:非工作日自动跳过爬取
## 数据来源
| 来源 | 说明 | 过滤 |
|------|------|------|
| 广西政府采购网 | 采购公告、结果公告、合同公告等 13 个分类 | 关键词过滤 |
| 大化县政府网 | 大化县门户网站采购公告 | 全量爬取 |
## 企微菜单功能
| 菜单 | 说明 |
|------|------|
| 最新公告 | 触发一次爬取,推送两个来源合并后最新 6 条(时间升序) |
| 手动爬取 | 立即触发全量爬取并推送新公告 |
| 今日统计 | 查看今日新增和累计公告数 |
| 系统状态 | 查看待推送数量、定时任务状态 |
| 监控配置 | 查看关键词、爬取页数、定时规则 |
| 工作日状态 | 查看今天是否为工作日 |
| 同步节假日 | 同步当年节假日数据 |
| 暂停/恢复任务 | 控制定时爬取任务 |
## 快速部署
### 1. 配置环境变量
复制 `.env.example``.env` 并填写:
```env
# 数据库
DATABASE_URL=postgresql+asyncpg://user:password@host:5432/gx-gp-notify
# 企业微信
WECHAT_CORP_ID=your_corp_id
WECHAT_AGENT_ID=your_agent_id
WECHAT_SECRET=your_secret
WECHAT_TOKEN=your_token
WECHAT_ENCODING_AES_KEY=your_aes_key
# 爬虫
CRAWLER_KEYWORDS=["大化"]
CRAWLER_MAX_PAGES=10
SCHEDULER_CRON=0 8-21 * * 1-5
```
### 2. 启动服务
```bash
docker compose -f docker/docker-compose.yml up -d
```
### 3. 数据库迁移
```bash
docker compose -f docker/docker-compose.yml exec app alembic upgrade head
```
### 4. 配置企微回调
在企业微信后台将回调 URL 设置为:
```
http://your-server:18001/wechat/callback
```
## 开发
```bash
# 安装依赖
pip install -e ".[dev]"
# 运行测试
pytest
# 代码检查
ruff check .
```
## 技术栈
- **框架**FastAPI + uvicorn
- **数据库**PostgreSQL + SQLAlchemy (async) + Alembic
- **爬虫**httpx + BeautifulSoup4
- **定时任务**APScheduler
- **推送**:企业微信应用消息 API
- **部署**Docker
## 项目结构
```
app/
├── api/ # HTTP 接口(公告查询、手动触发爬取等)
├── crawler/ # 爬虫(广西政采网、大化县政府网)
├── models/ # 数据库模型
├── scheduler/ # 定时任务
├── services/ # 业务逻辑(pipeline、过滤、通知)
└── wechat/ # 企业微信(消息处理、推送客户端)
```
-231
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@@ -1,231 +0,0 @@
# 广西政府采购网公告监控系统 - 企业微信集成
## 概述
本系统已集成企业微信功能,支持:
- 企业微信应用消息推送
- 回调服务器处理用户交互
- 应用菜单管理
- 实时爬取和自定义搜索
## 配置要求
### 1. 企业微信应用配置
`config/config.yaml` 中配置企业微信信息:
```yaml
# 企业微信应用配置
wechat_app:
enabled: true # 是否启用企业微信通知
corp_id: "ww69e8e44636f47780" # 企业ID
agent_id: "1000007" # 应用ID
secret: "SmelCwKFoL0E9ATWFzr-w7gsfXBTN72lT1UqnNd0HpI" # 应用Secret
token: "DmvL98cAF6x9CFtQZwqD2emGL8S7HxA" # Token
encoding_aes_key: "yAc4OoSCP92YTefHXYfw27WeG9oF11W9d6nw6QYlU3D" # 消息加密Key
port: 18001 # 服务端口
```
### 2. 企业微信管理后台设置
1. **设置回调URL**
- 在企业微信管理后台的应用设置中
- 设置回调URL为:`http://your-server-ip:18001/api/v1/wechat/callback`
- Token和EncodingAESKey需要与配置文件一致
2. **设置应用可见范围**
- 配置应用对哪些部门或成员可见
- 确保有基础接口权限
## 功能说明
### 1. 消息推送
系统会在以下情况下自动推送消息到企业微信:
- **爬取完成通知**:每次执行爬取后,推送筛选结果
- **关键词匹配通知**:发现匹配关键词的公告时推送
- **系统状态通知**:系统启动、错误等重要事件
消息格式参考 `企业微信消息示例.md`
### 2. 应用菜单
系统提供以下菜单功能:
#### 操作菜单
- **立即爬取**:执行一次完整的公告爬取
- **今日总结**:查看今日公告统计(开发中)
- **自定义爬取**:输入关键词进行搜索
#### 帮助菜单
- **使用说明**:显示详细使用指南
- **联系我们**:联系信息
### 3. 文本交互
支持以下文本命令:
```
# 关键词搜索
直接发送关键词,如:大化、信息化
# 手动爬取
爬取 [关键词] # 如:爬取 大化
# 获取帮助
帮助 # 显示使用说明
help
# 查看总结
总结 # 查看今日统计
```
## 部署和运行
### 1. 安装依赖
```bash
pip install -r gx_gp_monitor/requirements.txt
```
### 2. 测试功能
```bash
# 测试企业微信模块
python test_wechat_server.py
```
### 3. 启动回调服务器
```bash
# 方法1:使用专用启动脚本
python start_wechat_server.py
# 方法2:使用主程序
python gx_gp_monitor/main.py wechat-server
```
### 4. 管理菜单
```bash
# 创建菜单
python gx_gp_monitor/main.py wechat-menu --action create
# 删除菜单
python gx_gp_monitor/main.py wechat-menu --action delete
# 获取菜单信息
python gx_gp_monitor/main.py wechat-menu --action get
# 测试菜单操作
python gx_gp_monitor/main.py wechat-menu --action test
```
### 5. 正常爬取
```bash
# 执行爬取(会自动推送消息)
python gx_gp_monitor/main.py crawl
```
## 技术实现
### 1. 回调服务器
- **框架**Flask
- **端口**18001
- **路径**`/api/v1/wechat/callback`
- **功能**:处理企业微信的回调消息和URL验证
### 2. 消息加解密
- **库来源**:企业微信官方Python示例
- **位置**`gx_gp_monitor/wechat/WXBizMsgCrypt.py`
- **功能**:实现消息加密、解密和签名验证
### 3. 消息处理
- **事件处理**:关注、取消关注、菜单点击
- **文本处理**:关键词搜索、手动命令
- **响应格式**:XML格式的企业微信消息
### 4. 菜单管理
- **创建菜单**:自动创建预定义菜单
- **删除菜单**:清理现有菜单
- **获取菜单**:查看当前菜单配置
## 故障排除
### 1. 回调URL验证失败
- 检查Token和EncodingAESKey是否正确配置
- 确保服务器可从公网访问
- 检查端口18001是否开放
### 2. 消息推送失败
- 检查企业微信应用配置(corp_id, agent_id, secret
- 确认应用有消息发送权限
- 查看应用可见范围设置
### 3. 菜单创建失败
- 检查应用是否有菜单管理权限
- 确认Token有效且有管理员权限
### 4. 导入错误
```bash
# 确保依赖已安装
pip install flask pycryptodome
# 测试导入
python -c "from gx_gp_monitor.wechat.callback_server import WeChatCallbackServer; print('OK')"
```
## 日志查看
系统会记录详细的企业微信操作日志:
```bash
# 查看日志
tail -f logs/gx_gp_monitor.log | grep wechat
```
## 安全注意事项
1. **保护配置文件**:不要将包含密钥的配置文件提交到版本控制
2. **网络安全**:确保回调服务器只接受来自企业微信的请求
3. **权限控制**:合理设置应用可见范围和权限
4. **定期更新**:定期更新企业微信应用Secret
## 开发说明
### 项目结构
```
gx_gp_monitor/wechat/
├── __init__.py # 模块初始化
├── callback_server.py # Flask回调服务器
├── message_handler.py # 消息处理逻辑
├── menu_manager.py # 菜单管理
├── WXBizMsgCrypt.py # 企业微信加密库
└── ierror.py # 错误码定义
```
### 扩展功能
如需添加新功能,可以:
1.`message_handler.py` 中添加新的消息处理逻辑
2.`menu_manager.py` 中修改菜单配置
3.`callback_server.py` 中添加新的路由
## 联系支持
如有问题,请检查:
1. 系统日志
2. 企业微信管理后台错误信息
3. 网络连接和配置
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# A generic, single database configuration.
[alembic]
# path to migration scripts.
# this is typically a path given in POSIX (e.g. forward slashes)
# format, relative to the token %(here)s which refers to the location of this
# ini file
script_location = %(here)s/alembic
# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
# Uncomment the line below if you want the files to be prepended with date and time
# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
# for all available tokens
# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
# Or organize into date-based subdirectories (requires recursive_version_locations = true)
# file_template = %%(year)d/%%(month).2d/%%(day).2d_%%(hour).2d%%(minute).2d_%%(second).2d_%%(rev)s_%%(slug)s
# sys.path path, will be prepended to sys.path if present.
# defaults to the current working directory. for multiple paths, the path separator
# is defined by "path_separator" below.
prepend_sys_path = .
# timezone to use when rendering the date within the migration file
# as well as the filename.
# If specified, requires the tzdata library which can be installed by adding
# `alembic[tz]` to the pip requirements.
# string value is passed to ZoneInfo()
# leave blank for localtime
# timezone =
# max length of characters to apply to the "slug" field
# truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; This defaults
# to <script_location>/versions. When using multiple version
# directories, initial revisions must be specified with --version-path.
# The path separator used here should be the separator specified by "path_separator"
# below.
# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions
# path_separator; This indicates what character is used to split lists of file
# paths, including version_locations and prepend_sys_path within configparser
# files such as alembic.ini.
# The default rendered in new alembic.ini files is "os", which uses os.pathsep
# to provide os-dependent path splitting.
#
# Note that in order to support legacy alembic.ini files, this default does NOT
# take place if path_separator is not present in alembic.ini. If this
# option is omitted entirely, fallback logic is as follows:
#
# 1. Parsing of the version_locations option falls back to using the legacy
# "version_path_separator" key, which if absent then falls back to the legacy
# behavior of splitting on spaces and/or commas.
# 2. Parsing of the prepend_sys_path option falls back to the legacy
# behavior of splitting on spaces, commas, or colons.
#
# Valid values for path_separator are:
#
# path_separator = :
# path_separator = ;
# path_separator = space
# path_separator = newline
#
# Use os.pathsep. Default configuration used for new projects.
path_separator = os
# set to 'true' to search source files recursively
# in each "version_locations" directory
# new in Alembic version 1.10
# recursive_version_locations = false
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
# database URL. This is consumed by the user-maintained env.py script only.
# other means of configuring database URLs may be customized within the env.py
# file.
sqlalchemy.url = driver://user:pass@localhost/dbname
[post_write_hooks]
# post_write_hooks defines scripts or Python functions that are run
# on newly generated revision scripts. See the documentation for further
# detail and examples
# format using "black" - use the console_scripts runner, against the "black" entrypoint
# hooks = black
# black.type = console_scripts
# black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
# lint with attempts to fix using "ruff" - use the module runner, against the "ruff" module
# hooks = ruff
# ruff.type = module
# ruff.module = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Alternatively, use the exec runner to execute a binary found on your PATH
# hooks = ruff
# ruff.type = exec
# ruff.executable = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Logging configuration. This is also consumed by the user-maintained
# env.py script only.
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARNING
handlers = console
qualname =
[logger_sqlalchemy]
level = WARNING
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S
+34
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@@ -0,0 +1,34 @@
import asyncio
from alembic import context
from sqlalchemy.ext.asyncio import create_async_engine
from app.models.announcement import Base
from app.models.holiday import ChineseHoliday # noqa: F401
from app.config import settings
target_metadata = Base.metadata
def run_migrations_offline():
context.configure(url=settings.database_url, target_metadata=target_metadata,
literal_binds=True, dialect_opts={"paramstyle": "named"})
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection):
context.configure(connection=connection, target_metadata=target_metadata)
with context.begin_transaction():
context.run_migrations()
async def run_migrations_online():
connectable = create_async_engine(settings.database_url, echo=True)
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
await connectable.dispose()
if context.is_offline_mode():
run_migrations_offline()
else:
asyncio.run(run_migrations_online())
+28
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@@ -0,0 +1,28 @@
"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)}
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None:
"""Upgrade schema."""
${upgrades if upgrades else "pass"}
def downgrade() -> None:
"""Downgrade schema."""
${downgrades if downgrades else "pass"}
@@ -0,0 +1,37 @@
"""add_chinese_holidays_table
Revision ID: 1f59799a5083
Revises: eed20ee8cc26
Create Date: 2026-05-09 18:14:31.144256
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = '1f59799a5083'
down_revision: Union[str, Sequence[str], None] = 'eed20ee8cc26'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""Upgrade schema."""
op.create_table(
'chinese_holidays',
sa.Column('date', sa.Date(), nullable=False),
sa.Column('is_workday', sa.Boolean(), nullable=False, server_default='true'),
sa.Column('year', sa.Integer(), nullable=False),
sa.Column('description', sa.String(length=100), nullable=False, server_default=''),
sa.PrimaryKeyConstraint('date'),
)
op.create_index('idx_chinese_holidays_year', 'chinese_holidays', ['year'])
def downgrade() -> None:
"""Downgrade schema."""
op.drop_index('idx_chinese_holidays_year', table_name='chinese_holidays')
op.drop_table('chinese_holidays')
@@ -0,0 +1,194 @@
"""create_announcements_table
Revision ID: 567cd83d63c2
Revises:
Create Date: 2026-05-09 13:33:26.593143
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision: str = '567cd83d63c2'
down_revision: Union[str, Sequence[str], None] = None
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""Upgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table('auto_announcements')
op.drop_table('announcement_sources')
op.drop_index(op.f('idx_dahuagov_content_hash'), table_name='dahuagov_announcements')
op.drop_index(op.f('idx_dahuagov_created_at'), table_name='dahuagov_announcements')
op.drop_index(op.f('idx_dahuagov_publish_date'), table_name='dahuagov_announcements')
op.drop_table('dahuagov_announcements')
op.drop_index(op.f('idx_crawl_results_crawled_at'), table_name='crawl_results')
op.drop_table('crawl_results')
op.drop_table('manual_announcements')
op.add_column('announcements', sa.Column('is_sent', sa.Boolean(), nullable=False))
op.alter_column('announcements', 'purchase_name',
existing_type=sa.VARCHAR(length=200),
nullable=False)
op.alter_column('announcements', 'content_url',
existing_type=sa.TEXT(),
nullable=False)
op.alter_column('announcements', 'content_hash',
existing_type=sa.VARCHAR(length=32),
type_=sa.String(length=64),
nullable=False)
op.alter_column('announcements', 'crawl_mode',
existing_type=sa.VARCHAR(length=20),
nullable=False,
existing_server_default=sa.text("'auto'::character varying"))
op.alter_column('announcements', 'is_new',
existing_type=sa.BOOLEAN(),
nullable=False,
existing_server_default=sa.text('true'))
op.alter_column('announcements', 'keyword_matched',
existing_type=sa.BOOLEAN(),
nullable=False,
existing_server_default=sa.text('false'))
op.alter_column('announcements', 'created_at',
existing_type=postgresql.TIMESTAMP(),
nullable=False,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'updated_at',
existing_type=postgresql.TIMESTAMP(),
nullable=False,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.drop_index(op.f('idx_announcements_content_hash'), table_name='announcements')
op.drop_index(op.f('idx_announcements_created_at'), table_name='announcements')
op.drop_index(op.f('idx_announcements_publish_date'), table_name='announcements')
op.drop_index(op.f('idx_announcements_source_code'), table_name='announcements')
op.drop_column('announcements', 'date_filtered')
op.drop_column('announcements', 'is_today')
op.drop_column('announcements', 'crawled_at')
# ### end Alembic commands ###
def downgrade() -> None:
"""Downgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.add_column('announcements', sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True))
op.add_column('announcements', sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True))
op.add_column('announcements', sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True))
op.create_index(op.f('idx_announcements_source_code'), 'announcements', ['source_code'], unique=False)
op.create_index(op.f('idx_announcements_publish_date'), 'announcements', [sa.literal_column('publish_date DESC')], unique=False)
op.create_index(op.f('idx_announcements_created_at'), 'announcements', [sa.literal_column('created_at DESC')], unique=False)
op.create_index(op.f('idx_announcements_content_hash'), 'announcements', ['content_hash'], unique=False)
op.alter_column('announcements', 'updated_at',
existing_type=postgresql.TIMESTAMP(),
nullable=True,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'created_at',
existing_type=postgresql.TIMESTAMP(),
nullable=True,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'keyword_matched',
existing_type=sa.BOOLEAN(),
nullable=True,
existing_server_default=sa.text('false'))
op.alter_column('announcements', 'is_new',
existing_type=sa.BOOLEAN(),
nullable=True,
existing_server_default=sa.text('true'))
op.alter_column('announcements', 'crawl_mode',
existing_type=sa.VARCHAR(length=20),
nullable=True,
existing_server_default=sa.text("'auto'::character varying"))
op.alter_column('announcements', 'content_hash',
existing_type=sa.String(length=64),
type_=sa.VARCHAR(length=32),
nullable=True)
op.alter_column('announcements', 'content_url',
existing_type=sa.TEXT(),
nullable=True)
op.alter_column('announcements', 'purchase_name',
existing_type=sa.VARCHAR(length=200),
nullable=True)
op.drop_column('announcements', 'is_sent')
op.create_table('manual_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('keyword_matched', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('manual_announcements_pkey'))
)
op.create_table('crawl_results',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('status', sa.VARCHAR(length=20), autoincrement=False, nullable=False),
sa.Column('total_count', sa.INTEGER(), server_default=sa.text('0'), autoincrement=False, nullable=True),
sa.Column('new_count', sa.INTEGER(), server_default=sa.text('0'), autoincrement=False, nullable=True),
sa.Column('error_message', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('crawled_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('duration', sa.DOUBLE_PRECISION(precision=53), server_default=sa.text('0.0'), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(['source_code'], ['announcement_sources.code'], name=op.f('crawl_results_source_code_fkey')),
sa.PrimaryKeyConstraint('id', name=op.f('crawl_results_pkey'))
)
op.create_index(op.f('idx_crawl_results_crawled_at'), 'crawl_results', [sa.literal_column('crawled_at DESC')], unique=False)
op.create_table('dahuagov_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), server_default=sa.text("'dahuagov'::character varying"), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), server_default=sa.text("'大化县政府网采购公告'::character varying"), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), server_default=sa.text("'purchase'::character varying"), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('dahuagov_announcements_pkey')),
sa.UniqueConstraint('content_hash', name=op.f('dahuagov_announcements_content_hash_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
)
op.create_index(op.f('idx_dahuagov_publish_date'), 'dahuagov_announcements', [sa.literal_column('publish_date DESC')], unique=False)
op.create_index(op.f('idx_dahuagov_created_at'), 'dahuagov_announcements', [sa.literal_column('created_at DESC')], unique=False)
op.create_index(op.f('idx_dahuagov_content_hash'), 'dahuagov_announcements', ['content_hash'], unique=False)
op.create_table('announcement_sources',
sa.Column('code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('category_id', sa.INTEGER(), autoincrement=False, nullable=False),
sa.Column('name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint('code', name=op.f('announcement_sources_pkey'))
)
op.create_table('auto_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('keyword_matched', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('auto_announcements_pkey')),
sa.UniqueConstraint('content_hash', name=op.f('auto_announcements_content_hash_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
)
# ### end Alembic commands ###
@@ -0,0 +1,30 @@
"""add_ai_analysis_columns
Revision ID: 6e8f4c2d1b0a
Revises: 1f59799a5083
Create Date: 2026-05-21 10:00:00.000000
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = '6e8f4c2d1b0a'
down_revision: Union[str, Sequence[str], None] = '1f59799a5083'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""添加 AI 分析相关字段"""
op.add_column('announcements', sa.Column('ai_relevant', sa.Boolean(), nullable=True))
op.add_column('announcements', sa.Column('ai_analysis', sa.Text(), nullable=True))
def downgrade() -> None:
"""回滚"""
op.drop_column('announcements', 'ai_analysis')
op.drop_column('announcements', 'ai_relevant')
@@ -0,0 +1,194 @@
"""add_is_sent_column
Revision ID: eed20ee8cc26
Revises: 567cd83d63c2
Create Date: 2026-05-09 15:28:04.189854
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision: str = 'eed20ee8cc26'
down_revision: Union[str, Sequence[str], None] = '567cd83d63c2'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""Upgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('idx_crawl_results_crawled_at'), table_name='crawl_results')
op.drop_table('crawl_results')
op.drop_table('auto_announcements')
op.drop_index(op.f('idx_dahuagov_content_hash'), table_name='dahuagov_announcements')
op.drop_index(op.f('idx_dahuagov_created_at'), table_name='dahuagov_announcements')
op.drop_index(op.f('idx_dahuagov_publish_date'), table_name='dahuagov_announcements')
op.drop_table('dahuagov_announcements')
op.drop_table('manual_announcements')
op.drop_table('announcement_sources')
op.add_column('announcements', sa.Column('is_sent', sa.Boolean(), nullable=False, server_default=sa.false()))
op.alter_column('announcements', 'purchase_name',
existing_type=sa.VARCHAR(length=200),
nullable=False)
op.alter_column('announcements', 'content_url',
existing_type=sa.TEXT(),
nullable=False)
op.alter_column('announcements', 'content_hash',
existing_type=sa.VARCHAR(length=32),
type_=sa.String(length=64),
nullable=False)
op.alter_column('announcements', 'crawl_mode',
existing_type=sa.VARCHAR(length=20),
nullable=False,
existing_server_default=sa.text("'auto'::character varying"))
op.alter_column('announcements', 'is_new',
existing_type=sa.BOOLEAN(),
nullable=False,
existing_server_default=sa.text('true'))
op.alter_column('announcements', 'keyword_matched',
existing_type=sa.BOOLEAN(),
nullable=False,
existing_server_default=sa.text('false'))
op.alter_column('announcements', 'created_at',
existing_type=postgresql.TIMESTAMP(),
nullable=False,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'updated_at',
existing_type=postgresql.TIMESTAMP(),
nullable=False,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.drop_index(op.f('idx_announcements_content_hash'), table_name='announcements')
op.drop_index(op.f('idx_announcements_created_at'), table_name='announcements')
op.drop_index(op.f('idx_announcements_publish_date'), table_name='announcements')
op.drop_index(op.f('idx_announcements_source_code'), table_name='announcements')
op.drop_column('announcements', 'date_filtered')
op.drop_column('announcements', 'crawled_at')
op.drop_column('announcements', 'is_today')
# ### end Alembic commands ###
def downgrade() -> None:
"""Downgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.add_column('announcements', sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True))
op.add_column('announcements', sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True))
op.add_column('announcements', sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True))
op.create_index(op.f('idx_announcements_source_code'), 'announcements', ['source_code'], unique=False)
op.create_index(op.f('idx_announcements_publish_date'), 'announcements', [sa.literal_column('publish_date DESC')], unique=False)
op.create_index(op.f('idx_announcements_created_at'), 'announcements', [sa.literal_column('created_at DESC')], unique=False)
op.create_index(op.f('idx_announcements_content_hash'), 'announcements', ['content_hash'], unique=False)
op.alter_column('announcements', 'updated_at',
existing_type=postgresql.TIMESTAMP(),
nullable=True,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'created_at',
existing_type=postgresql.TIMESTAMP(),
nullable=True,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'keyword_matched',
existing_type=sa.BOOLEAN(),
nullable=True,
existing_server_default=sa.text('false'))
op.alter_column('announcements', 'is_new',
existing_type=sa.BOOLEAN(),
nullable=True,
existing_server_default=sa.text('true'))
op.alter_column('announcements', 'crawl_mode',
existing_type=sa.VARCHAR(length=20),
nullable=True,
existing_server_default=sa.text("'auto'::character varying"))
op.alter_column('announcements', 'content_hash',
existing_type=sa.String(length=64),
type_=sa.VARCHAR(length=32),
nullable=True)
op.alter_column('announcements', 'content_url',
existing_type=sa.TEXT(),
nullable=True)
op.alter_column('announcements', 'purchase_name',
existing_type=sa.VARCHAR(length=200),
nullable=True)
op.drop_column('announcements', 'is_sent')
op.create_table('announcement_sources',
sa.Column('code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('category_id', sa.INTEGER(), autoincrement=False, nullable=False),
sa.Column('name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint('code', name=op.f('announcement_sources_pkey'))
)
op.create_table('manual_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('keyword_matched', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('manual_announcements_pkey'))
)
op.create_table('dahuagov_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), server_default=sa.text("'dahuagov'::character varying"), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), server_default=sa.text("'大化县政府网采购公告'::character varying"), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), server_default=sa.text("'purchase'::character varying"), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('dahuagov_announcements_pkey')),
sa.UniqueConstraint('content_hash', name=op.f('dahuagov_announcements_content_hash_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
)
op.create_index(op.f('idx_dahuagov_publish_date'), 'dahuagov_announcements', [sa.literal_column('publish_date DESC')], unique=False)
op.create_index(op.f('idx_dahuagov_created_at'), 'dahuagov_announcements', [sa.literal_column('created_at DESC')], unique=False)
op.create_index(op.f('idx_dahuagov_content_hash'), 'dahuagov_announcements', ['content_hash'], unique=False)
op.create_table('auto_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('keyword_matched', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('auto_announcements_pkey')),
sa.UniqueConstraint('content_hash', name=op.f('auto_announcements_content_hash_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
)
op.create_table('crawl_results',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('status', sa.VARCHAR(length=20), autoincrement=False, nullable=False),
sa.Column('total_count', sa.INTEGER(), server_default=sa.text('0'), autoincrement=False, nullable=True),
sa.Column('new_count', sa.INTEGER(), server_default=sa.text('0'), autoincrement=False, nullable=True),
sa.Column('error_message', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('crawled_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('duration', sa.DOUBLE_PRECISION(precision=53), server_default=sa.text('0.0'), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(['source_code'], ['announcement_sources.code'], name=op.f('crawl_results_source_code_fkey')),
sa.PrimaryKeyConstraint('id', name=op.f('crawl_results_pkey'))
)
op.create_index(op.f('idx_crawl_results_crawled_at'), 'crawl_results', [sa.literal_column('crawled_at DESC')], unique=False)
# ### end Alembic commands ###
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from datetime import date, datetime
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.deps import get_db
from app.models.announcement import Announcement
from app.models.schemas import AnnouncementListResponse, AnnouncementResponse
router = APIRouter()
def _parse_date(value: str | None) -> date | None:
if not value:
return None
return datetime.strptime(value, "%Y-%m-%d").date()
@router.get("/announcements", response_model=AnnouncementListResponse)
async def list_announcements(
page: int = Query(1, ge=1),
page_size: int = Query(20, ge=1, le=100),
source_code: str | None = None,
keyword: str | None = None,
start_date: str | None = None,
end_date: str | None = None,
crawl_mode: str | None = None,
db: AsyncSession = Depends(get_db),
):
conditions = []
if source_code:
conditions.append(Announcement.source_code == source_code)
if crawl_mode:
conditions.append(Announcement.crawl_mode == crawl_mode)
start = _parse_date(start_date)
end = _parse_date(end_date)
if start:
conditions.append(Announcement.publish_date >= start)
if end:
conditions.append(Announcement.publish_date <= end)
if keyword:
conditions.append(
Announcement.title.ilike(f"%{keyword}%")
)
base_query = select(Announcement)
if conditions:
base_query = base_query.where(*conditions)
count_query = select(func.count()).select_from(base_query.subquery())
total_result = await db.execute(count_query)
total = total_result.scalar() or 0
items_query = base_query.order_by(Announcement.publish_date.desc()) \
.offset((page - 1) * page_size).limit(page_size)
items_result = await db.execute(items_query)
items = items_result.scalars().all()
return AnnouncementListResponse(
total=total,
page=page,
page_size=page_size,
items=[AnnouncementResponse.model_validate(item) for item in items],
)
@router.get("/announcements/today", response_model=AnnouncementListResponse)
async def get_today_announcements(db: AsyncSession = Depends(get_db)):
today = datetime.now().date()
result = await db.execute(
select(Announcement).where(
func.date(Announcement.publish_date) == today
).order_by(Announcement.publish_date.desc())
)
items = result.scalars().all()
return AnnouncementListResponse(
total=len(items), page=1, page_size=len(items),
items=[AnnouncementResponse.model_validate(item) for item in items],
)
@router.get("/announcements/stats")
async def get_stats(db: AsyncSession = Depends(get_db)):
total = await db.execute(select(func.count()).select_from(Announcement))
today_count = await db.execute(
select(func.count()).where(
func.date(Announcement.publish_date) == func.current_date()
).select_from(Announcement)
)
new_count = await db.execute(
select(func.count()).where(Announcement.is_new == True) # noqa: E712
.select_from(Announcement)
)
unsent = await db.execute(
select(func.count()).where(
Announcement.is_sent == False, Announcement.is_new == True # noqa: E712
).select_from(Announcement)
)
return {
"total": total.scalar() or 0,
"today": today_count.scalar() or 0,
"new": new_count.scalar() or 0,
"unsent": unsent.scalar() or 0,
}
@router.get("/announcements/{announcement_id}", response_model=AnnouncementResponse)
async def get_announcement(announcement_id: int, db: AsyncSession = Depends(get_db)):
result = await db.execute(
select(Announcement).where(Announcement.id == announcement_id)
)
item = result.scalar_one_or_none()
if item is None:
raise HTTPException(status_code=404, detail="公告不存在")
return AnnouncementResponse.model_validate(item)
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from fastapi import APIRouter
from app.api.deps import get_crawl_service
from app.models.schemas import CrawlTriggerRequest
router = APIRouter()
@router.post("/crawl/trigger")
async def trigger_crawl(request: CrawlTriggerRequest):
service = get_crawl_service()
if request.spider_name:
names = [request.spider_name]
else:
names = service.get_spider_names()
all_results = []
total_stored = 0
total_notified = 0
for name in names:
results = await service.run_spider(name)
all_results.extend(results)
for r in results:
if r.pipeline_result:
total_stored += r.pipeline_result.stored
total_notified += r.pipeline_result.notified
return {
"spiders_run": names,
"total_announcements": sum(r.total_count for r in all_results),
"total_stored": total_stored,
"total_notified": total_notified,
"errors": [r.error_message for r in all_results if not r.success],
}
@router.get("/crawl/status")
async def crawl_status():
service = get_crawl_service()
return {
"spiders": service.get_spider_names(),
"running": False,
}
@router.get("/crawl/sources")
async def crawl_sources():
import json
from app.config import settings
sources = json.loads(settings.announcement_sources)
result = [
{"code": code, "name": info["name"], "type": info["type"]}
for code, info in sources.items()
]
# 加入独立爬虫来源(非 GXGP 子来源的独立 Spider
service = get_crawl_service()
for name in service.get_spider_names():
if name == "gxgp":
continue # gxgp 的子来源已在上面列出
spider = service.spiders.get(name)
if spider:
result.append({
"code": spider.source_code,
"name": spider.source_name,
"type": "independent",
})
return {"sources": result}
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from sqlalchemy.ext.asyncio import AsyncSession
from app.crawler.dahuagov_spider import DahuagovSpider
from app.crawler.gxgp_spider import GXGPSpider
from app.services.crawl_service import CrawlService
from app.services.notification_service import NotificationService
async def get_db() -> AsyncSession:
from app.main import async_session
async with async_session() as session:
yield session
_crawl_service: CrawlService | None = None
def get_crawl_service() -> CrawlService:
global _crawl_service
if _crawl_service is None:
from app.main import async_session
_crawl_service = CrawlService(
db_session_factory=async_session,
notification_service=NotificationService(),
)
_crawl_service.register(GXGPSpider())
_crawl_service.register(DahuagovSpider())
return _crawl_service
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from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.deps import get_db
from app.services.holiday_service import now_in_china, sync_holidays
router = APIRouter()
@router.post("/holidays/sync")
async def sync_holidays_endpoint(
year: int | None = Query(None, description="同步年份,默认当前年份"),
db: AsyncSession = Depends(get_db),
):
if year is None:
year = now_in_china().year
count = await sync_holidays(db, year)
return {"status": "ok", "year": year, "synced": count}
@router.get("/holidays/today")
async def get_today_status(db: AsyncSession = Depends(get_db)):
from app.services.holiday_service import is_workday
today = now_in_china()
workday = await is_workday(db, today)
return {
"date": today.isoformat(),
"is_workday": workday,
"message": "工作日,正常爬取" if workday else "非工作日,跳过爬取",
}
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from fastapi import APIRouter
from app.api import announcements, crawl, holidays, wechat
from app.api import scheduler as scheduler_module
api_router = APIRouter(prefix="/api/v1")
api_router.include_router(announcements.router, tags=["announcements"])
api_router.include_router(crawl.router, tags=["crawl"])
api_router.include_router(holidays.router, tags=["holidays"])
api_router.include_router(wechat.router, tags=["wechat"])
api_router.include_router(scheduler_module.router)
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from fastapi import APIRouter
from app.models.schemas import JobResponse
from app.scheduler.jobs import scheduler
router = APIRouter(prefix="/scheduler", tags=["scheduler"])
@router.get("/jobs")
async def list_jobs():
jobs = []
for job in scheduler.get_jobs():
jobs.append(JobResponse(
id=job.id,
name=job.name,
next_run_time=str(job.next_run_time) if job.next_run_time else None,
))
return {"jobs": jobs}
@router.post("/pause/{job_id}")
async def pause_job(job_id: str):
scheduler.pause_job(job_id)
return {"status": "paused", "job_id": job_id}
@router.post("/resume/{job_id}")
async def resume_job(job_id: str):
scheduler.resume_job(job_id)
return {"status": "resumed", "job_id": job_id}
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from fastapi import APIRouter, Request, Response
from app.wechat.handler import WeChatMessageHandler
router = APIRouter()
_handler: WeChatMessageHandler | None = None
def get_handler() -> WeChatMessageHandler:
global _handler
if _handler is None:
_handler = WeChatMessageHandler()
return _handler
@router.get("/wechat/callback")
async def wechat_verify(request: Request):
handler = get_handler()
params = request.query_params
echostr = handler.verify_url(
params.get("msg_signature", ""),
params.get("timestamp", ""),
params.get("nonce", ""),
params.get("echostr", ""),
)
if echostr:
return Response(content=echostr, media_type="text/plain")
return Response(content="verification failed", status_code=403)
@router.post("/wechat/callback")
async def wechat_callback(request: Request):
handler = get_handler()
params = request.query_params
post_data = await request.body()
post_text = post_data.decode("utf-8")
xml_tree = handler.decrypt_message(
post_text,
params.get("msg_signature", ""),
params.get("timestamp", ""),
params.get("nonce", ""),
)
if xml_tree is None:
return Response(content="decrypt failed", status_code=403)
msg_type = xml_tree.find("MsgType")
msg_type = msg_type.text if msg_type is not None else "unknown"
if msg_type == "event":
event = xml_tree.find("Event")
event_key = xml_tree.find("EventKey")
from_user = xml_tree.find("FromUserName")
await handler.handle_event(
event.text if event is not None else "",
event_key.text if event_key is not None else None,
from_user.text if from_user is not None else "",
)
elif msg_type == "text":
content = xml_tree.find("Content")
from_user = xml_tree.find("FromUserName")
await handler.handle_text(
content.text if content is not None else "",
from_user.text if from_user is not None else "",
)
return Response(content="success")
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from pydantic_settings import BaseSettings, SettingsConfigDict
from pydantic import field_validator
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
# 应用
debug: bool = False
log_level: str = "INFO"
# 数据库
database_url: str = "postgresql+asyncpg://gx-gp-notify:password@localhost:5432/gx-gp-notify"
# 爬虫
crawler_base_url: str = "https://zfcg.gxzf.gov.cn"
crawler_keywords: list[str] = ["大化"]
crawler_max_pages: int = 10
crawler_timeout: int = 30
crawler_page_size: int = 100
# 企业微信
wechat_enabled: bool = True
wechat_corp_id: str = ""
wechat_agent_id: str = ""
wechat_secret: str = ""
wechat_token: str = ""
wechat_encoding_aes_key: str = ""
wechat_port: int = 18001
wechat_host: str = "0.0.0.0"
wechat_api_base_url: str = "https://qyapi.weixin.qq.com"
# 定时任务
scheduler_enabled: bool = True
scheduler_cron: str = "0 8-21 * * *"
# LogHive 日志系统
loghive_endpoint: str = "http://10.10.10.14:8000"
loghive_project: str = "gx-gp-notify"
loghive_api_key: str = ""
# AI 分析 (DeepSeek)
ai_enabled: bool = False
ai_whitelist: str = ""
ai_api_key: str = ""
ai_base_url: str = "https://api.deepseek.com/v1"
ai_model: str = "deepseek-chat"
ai_timeout: int = 30
ai_analysis_title: str = "🔔 中国电信可承接项目"
ai_prompt_template: str = (
"你是一个政府采购项目分析师,专门帮助中国电信识别可以承接的项目。\n\n"
"可承接范围包括但不限于:\n"
"- 通信工程、光缆建设、基站建设\n"
"- 信息化系统建设、系统集成\n"
"- 云计算、大数据、政务云\n"
"- 物联网、智慧城市、智慧园区\n"
"- 安防监控、视频会议、应急通信\n"
"- 网络运维、网络优化、IDC 服务\n"
"- 5G 应用、专线服务\n\n"
"--- 公告信息 ---\n"
"标题:{title}\n"
"采购人:{purchase_name}\n"
"公告类型:{announcement_type}\n\n"
"--- 公告正文 ---\n"
"{content}\n\n"
"请用 JSON 格式回答:\n"
'{{"is_relevant": true/false, "reason": "简要判断理由", "business_type": "业务分类"}}'
)
@field_validator("ai_prompt_template", mode="before")
@classmethod
def convert_newlines(cls, v: str) -> str:
"""将 .env 中字面 \\n 转换为真实换行"""
if isinstance(v, str) and "\\n" in v:
return v.replace("\\n", "\n")
return v
# 公告来源(JSON 字符串,从环境变量读取)
announcement_sources: str = '{"ZcyAnnouncement1":{"category_id":66485,"name":"采购公告","type":"purchase"},"ZcyAnnouncement2":{"category_id":66485,"name":"结果公告","type":"result"},"ZcyAnnouncement3":{"category_id":66485,"name":"合同公告","type":"contract"},"ZcyAnnouncement4":{"category_id":66485,"name":"更正公告","type":"correction"},"ZcyAnnouncement5":{"category_id":66485,"name":"招标文件预公示","type":"pre_announcement"},"ZcyAnnouncement6":{"category_id":66485,"name":"单一来源公示","type":"single_source"},"ZcyAnnouncement7":{"category_id":66485,"name":"电子卖场公示","type":"electronic_market"},"ZcyAnnouncement10":{"category_id":66485,"name":"履约验收公示","type":"acceptance"},"ZcyAnnouncement11":{"category_id":66485,"name":"工程类公告","type":"engineering"},"ZcyAnnouncement20":{"category_id":66485,"name":"框架协议征集公告","type":"framework_agreement"},"ZcyAnnouncement21":{"category_id":66485,"name":"框架协议入围结果公告","type":"framework_result"},"ZcyAnnouncement23":{"category_id":66485,"name":"框架协议成交结果汇总公告","type":"framework_summary"},"61-266648":{"category_id":66485,"name":"采购意向公开","type":"intention"}}' # noqa: E501
settings = Settings()
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import hashlib
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from datetime import datetime
@dataclass
class PipelineResult:
stored: int = 0
filtered: int = 0
notified: int = 0
@dataclass
class CrawlResult:
source_code: str
source_name: str
total_count: int = 0
new_count: int = 0
announcements: list = field(default_factory=list)
error_message: str | None = None
crawled_at: datetime = field(default_factory=datetime.now)
duration: float = 0.0
pipeline_result: PipelineResult | None = None
@property
def success(self) -> bool:
return self.error_message is None
@dataclass
class PipelineConfig:
filter_enabled: bool = True
keywords: list[str] = field(default_factory=list)
dedup_enabled: bool = True
notify_mode: str = "filtered"
mark_sent: bool = False
class BaseSpider(ABC):
name: str
source_code: str
source_name: str
@abstractmethod
async def crawl(self) -> CrawlResult:
...
def get_pipeline_config(self) -> PipelineConfig:
return PipelineConfig()
@staticmethod
def generate_content_hash(title: str, publish_date: str, purchase_name: str,
content_url: str, source_code: str) -> str:
content = f"{title}|{publish_date}|{purchase_name}|{content_url}|{source_code}"
return hashlib.sha256(content.encode("utf-8")).hexdigest()
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import asyncio
import random
from datetime import datetime
import httpx
from app.config import settings
from app.crawler.base import BaseSpider, CrawlResult, PipelineConfig
from app.crawler.parsers import parse_dahuagov_html, parse_dahuagov_detail_pubdate
class DahuagovSpider(BaseSpider):
name = "dahuagov"
source_code = "dahuagov"
source_name = "大化县政府网采购公告"
BASE_URL = "http://www.gxdh.gov.cn"
ANNOUNCEMENT_PATH = "/xxgk/zdlyxxgk/ggzypzly/zfcgly/cggg/"
def get_pipeline_config(self) -> PipelineConfig:
return PipelineConfig(
filter_enabled=False,
keywords=[],
dedup_enabled=True,
notify_mode="all",
mark_sent=True,
)
async def crawl(self) -> CrawlResult:
start_time = datetime.now()
url = self.BASE_URL + self.ANNOUNCEMENT_PATH
async with httpx.AsyncClient(timeout=settings.crawler_timeout) as client:
await self._delay()
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": "zh-CN,zh;q=0.9",
"Referer": self.BASE_URL,
}
response = await client.get(url, headers=headers)
if response.status_code != 200:
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
error_message=f"HTTP {response.status_code}",
crawled_at=start_time,
)
html = response.text
except Exception as e:
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
error_message=str(e),
crawled_at=start_time,
)
announcements = parse_dahuagov_html(html, start_time)
await self._fetch_detail_dates(client, announcements, headers)
duration = (datetime.now() - start_time).total_seconds()
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
total_count=len(announcements),
new_count=len(announcements),
announcements=announcements,
crawled_at=start_time,
duration=duration,
)
async def _fetch_detail_dates(
self,
client: httpx.AsyncClient,
announcements: list[dict],
headers: dict,
) -> None:
"""并发抓取详情页,用 PubDate meta 更新精确发布时间"""
sem = asyncio.Semaphore(5)
async def fetch_one(ann: dict) -> None:
async with sem:
await asyncio.sleep(random.uniform(0.3, 0.8))
try:
resp = await client.get(ann["content_url"], headers=headers)
if resp.status_code == 200:
pub = parse_dahuagov_detail_pubdate(resp.text)
if pub:
ann["publish_date"] = pub
ann["is_today"] = pub.date() == datetime.now().date()
except Exception:
pass # 保留列表页日期作为 fallback
await asyncio.gather(*[fetch_one(ann) for ann in announcements])
async def _delay(self):
delay = random.uniform(1.0, 3.0)
await asyncio.sleep(delay)
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import json
import random
import time
from datetime import datetime
import httpx
from app.config import settings
from app.crawler.base import BaseSpider, CrawlResult, PipelineConfig
from app.crawler.parsers import extract_pagination, parse_gxgp_api_response
class GXGPSpider(BaseSpider):
name = "gxgp"
source_code = "gxgp"
source_name = "广西政府采购网"
def __init__(self):
self.base_url = settings.crawler_base_url
self.announcement_api = f"{self.base_url}/portal/category"
def get_pipeline_config(self) -> PipelineConfig:
return PipelineConfig(
filter_enabled=True,
keywords=list(settings.crawler_keywords),
dedup_enabled=True,
notify_mode="filtered",
mark_sent=True,
)
async def crawl(self, sources: list[str] | None = None,
max_pages: int | None = None) -> CrawlResult:
if max_pages is None:
max_pages = settings.crawler_max_pages
if sources is None:
source_map = json.loads(settings.announcement_sources)
sources = list(source_map.keys())
start_time = datetime.now()
all_announcements = []
error_messages = []
async with httpx.AsyncClient(timeout=settings.crawler_timeout) as client:
for source_code in sources:
source_info = json.loads(settings.announcement_sources).get(source_code)
if not source_info:
continue
category_id = source_info["category_id"]
source_name = source_info["name"]
for page_no in range(1, max_pages + 1):
if page_no > 1:
await self._delay()
try:
data = await self._fetch_page(
client, source_code, category_id, page_no
)
if data is None:
break
records = parse_gxgp_api_response(
data, source_code, source_name,
start_time, category_id
)
if not records:
break
all_announcements.extend(records)
pagination = extract_pagination(data)
if not pagination["has_next"]:
break
except Exception as e:
error_messages.append(f"{source_code} page {page_no}: {e}")
break
duration = (datetime.now() - start_time).total_seconds()
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
total_count=len(all_announcements),
new_count=len(all_announcements),
announcements=all_announcements,
error_message="; ".join(error_messages) if error_messages else None,
crawled_at=start_time,
duration=duration,
)
async def _fetch_page(self, client: httpx.AsyncClient, source_code: str,
category_id: int, page_no: int) -> dict | None:
payload = {
"keyword": "",
"publishDateBegin": "",
"publishDateEnd": "",
"pageNo": page_no,
"pageSize": settings.crawler_page_size,
"categoryCode": source_code,
"_t": int(time.time() * 1000),
}
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Content-Type": "application/json;charset=UTF-8",
"Origin": self.base_url,
"Referer": f"{self.base_url}/site/category?parentId={category_id}&childrenCode={source_code}", # noqa: E501
}
response = await client.post(
self.announcement_api, json=payload, headers=headers
)
if response.status_code != 200:
return None
return response.json()
async def _delay(self):
import asyncio
delay = random.uniform(1.0, 3.0)
await asyncio.sleep(delay)
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import hashlib
from datetime import datetime
from typing import Any
from urllib.parse import urljoin
from zoneinfo import ZoneInfo
_TZ = ZoneInfo("Asia/Shanghai")
from bs4 import BeautifulSoup
def parse_gxgp_api_response(
response_data: dict[str, Any],
source_code: str,
source_name: str,
crawled_at: datetime,
category_id: int,
) -> list[dict[str, Any]]:
if not response_data.get("success"):
return []
data = response_data.get("result", {}).get("data", {})
records = data.get("data", [])
if not records:
return []
results = []
for record in records:
title = str(record.get("title", "")).strip()
if not title:
continue
timestamp = record.get("publishDate")
if not timestamp:
continue
try:
publish_date = datetime.fromtimestamp(int(timestamp) / 1000, tz=_TZ).replace(tzinfo=None)
except (ValueError, TypeError):
continue
purchase_name = str(record.get("purchaseName", "")).strip()
article_id = record.get("articleId")
if not article_id:
continue
content_url = (
f"https://zfcg.gxzf.gov.cn/site/detail?"
f"parentId={category_id}&articleId={article_id}"
)
announce = {
"title": title,
"publish_date": publish_date,
"purchase_name": purchase_name,
"content_url": content_url,
"source_code": source_code,
"source_name": source_name,
"announcement_type": "purchase",
"crawl_mode": "auto",
"is_new": True,
"is_today": publish_date.date() == datetime.now().date(),
}
announce["content_hash"] = _generate_hash(announce)
results.append(announce)
return results
def extract_pagination(response_data: dict[str, Any]) -> dict[str, Any]:
data = response_data.get("result", {}).get("data", {})
return {
"total": data.get("total", 0),
"page_no": data.get("pageNo", 1),
"page_size": data.get("pageSize", 100),
"pages": data.get("pages", 0),
"empty": data.get("empty", True),
"has_next": data.get("hasNext", False),
"has_previous": data.get("hasPrevious", False),
}
def parse_dahuagov_html(html: str, crawled_at: datetime) -> list[dict[str, Any]]:
soup = BeautifulSoup(html, "html.parser")
lists = soup.find_all("ul", class_="more-list")
if not lists:
return []
results = []
base_url = "http://www.gxdh.gov.cn"
base_path = "/xxgk/zdlyxxgk/ggzypzly/zfcgly/cggg/"
for ul in lists:
for li in ul.find_all("li"):
date_span = li.find("span")
if not date_span:
continue
date_text = date_span.get_text(strip=True)
try:
publish_date = datetime.strptime(date_text, "%Y-%m-%d")
except ValueError:
continue
link_tag = li.find("a")
if not link_tag:
continue
title = link_tag.get("title", "") or link_tag.get_text(strip=True)
href = link_tag.get("href", "")
if not title or not href:
continue
if href.startswith("./") or href.startswith("../"):
content_url = urljoin(base_url + base_path, href)
elif href.startswith("/"):
content_url = base_url + href
elif href.startswith("http"):
content_url = href
else:
content_url = urljoin(base_url + base_path, href)
announce = {
"title": title,
"publish_date": publish_date,
"purchase_name": "大化瑶族自治县",
"content_url": content_url,
"source_code": "dahuagov",
"source_name": "大化县政府网采购公告",
"announcement_type": "purchase",
"crawl_mode": "auto",
"is_new": True,
"is_today": publish_date.date() == datetime.now().date(),
}
announce["content_hash"] = _generate_hash(announce)
results.append(announce)
return results
def parse_dahuagov_detail_pubdate(html: str) -> datetime | None:
"""从详情页 <meta name="PubDate"> 解析精确发布时间"""
soup = BeautifulSoup(html, "html.parser")
meta = soup.find("meta", attrs={"name": "PubDate"})
if not meta:
return None
content = meta.get("content", "").strip()
for fmt in ("%Y-%m-%d %H:%M:%S", "%Y-%m-%d %H:%M", "%Y-%m-%d"):
try:
return datetime.strptime(content, fmt)
except ValueError:
continue
return None
async def extract_page_content(url: str, timeout: int = 30) -> str | None:
"""抓取详情页并用 BeautifulSoup 提取正文纯文本"""
import urllib.parse
import httpx
# ---- 站点专用处理 ----
# ① 政采云 SPA (HTTP API, 无需渲染)
if "zfcg.gxzf.gov.cn" in url and "articleId=" in url:
return await _extract_zcy_content(url, timeout)
# ② 大化县政府网 (静态HTML)
if "www.gxdh.gov.cn" in url or "gxdh.gov.cn" in url:
return await _extract_dahuagov_content(url, timeout)
# ---- 通用 HTML 提取 ----
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": "zh-CN,zh;q=0.9",
}
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
resp = await client.get(url, headers=headers)
if resp.status_code != 200:
return None
soup = BeautifulSoup(resp.text, "html.parser")
# 尝试多种常见正文容器选择器
selectors = [
"div.article-content", "div.content", "div.TRS_Editor",
"div.Custom_UnionStyle", "div.pages_content", "div#content",
"div.main-content", "article", ".article", ".detail-content",
".text-content", ".news-content", ".detail-article",
"div.article-con", ".trs_editor_view", ".TRS_UEDITOR",
".trs_paper_default", ".article-content",
]
for selector in selectors:
container = soup.select_one(selector)
if container:
for tag in container.find_all(["script", "style"]):
tag.decompose()
text = container.get_text(separator="\n", strip=True)
if len(text) > 50:
return text
# 兜底:取 body 内所有文本
body = soup.find("body")
if body:
for tag in body.find_all(["script", "style", "nav", "footer", "header"]):
tag.decompose()
text = body.get_text(separator="\n", strip=True)
lines = [l.strip() for l in text.split("\n") if l.strip()]
text = "\n".join(lines[:200])
if len(text) > 50:
return text
return None
except Exception:
return None
async def _extract_zcy_content(url: str, timeout: int = 30) -> str | None:
"""从政采云 SPA 隐藏 API 提取公告正文"""
import urllib.parse
import httpx
from bs4 import BeautifulSoup
params = urllib.parse.parse_qs(urllib.parse.urlparse(url).query)
article_id = params.get("articleId", [None])[0]
parent_id = params.get("parentId", [None])[0]
if not article_id:
return None
api_url = "https://zfcg.gxzf.gov.cn/portal/detail"
if parent_id:
api_url += f"?articleId={article_id}&parentId={parent_id}"
else:
api_url += f"?articleId={article_id}"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Accept": "application/json, text/plain, */*",
"Referer": url,
}
try:
async with httpx.AsyncClient(timeout=timeout) as client:
resp = await client.get(api_url, headers=headers)
if resp.status_code != 200:
return None
data = resp.json()
if not data.get("success"):
return None
content_html = data.get("result", {}).get("data", {}).get("content", "")
if not content_html:
return None
soup = BeautifulSoup(content_html, "html.parser")
for tag in soup.find_all(["script", "style"]):
tag.decompose()
text = soup.get_text(separator="\n", strip=True)
# 清理过短行和多余空白
lines = [l.strip() for l in text.split("\n") if len(l.strip()) > 5]
text = "\n".join(lines[:300])
return text if len(text) > 50 else None
except Exception:
return None
async def _extract_dahuagov_content(url: str, timeout: int = 30) -> str | None:
"""从大化县政府网详情页提取正文"""
import httpx
from bs4 import BeautifulSoup
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": "zh-CN,zh;q=0.9",
}
try:
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
resp = await client.get(url, headers=headers)
if resp.status_code != 200:
return None
soup = BeautifulSoup(resp.text, "html.parser")
# 大化县政府网正文容器
selectors = [
"div.article-con", ".trs_editor_view", ".TRS_UEDITOR",
".trs_paper_default", "div.content", "div.TRS_Editor",
"div.article-content", "div.Custom_UnionStyle",
"div#content", "div.main-content", "article", ".detail-content",
]
for selector in selectors:
container = soup.select_one(selector)
if container:
for tag in container.find_all(["script", "style"]):
tag.decompose()
text = container.get_text(separator="\n", strip=True)
if len(text) > 50:
lines = [l.strip() for l in text.split("\n") if l.strip()]
return "\n".join(lines[:300])
# 兜底
body = soup.find("body")
if body:
for tag in body.find_all(["script", "style", "nav", "footer", "header"]):
tag.decompose()
text = body.get_text(separator="\n", strip=True)
lines = [l.strip() for l in text.split("\n") if l.strip()]
text = "\n".join(lines[:200])
if len(text) > 50:
return text
return None
except Exception:
return None
def _generate_hash(ann: dict[str, Any]) -> str:
content = (
f"{ann['title']}|{ann['publish_date'].strftime('%Y-%m-%d')}"
f"|{ann['purchase_name']}|{ann['content_url']}|{ann['source_code']}"
)
return hashlib.sha256(content.encode("utf-8")).hexdigest()
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import logging
from contextlib import asynccontextmanager
from fastapi import FastAPI
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
from app.api.router import api_router
from app.config import settings
engine = create_async_engine(settings.database_url, echo=settings.debug)
async_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
async def get_db() -> AsyncSession:
async with async_session() as session:
yield session
@asynccontextmanager
async def lifespan(app: FastAPI):
logging.basicConfig(
level=getattr(logging, settings.log_level),
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
)
# LogHive 远程日志(仅当配置了 API Key 时启用)
if settings.loghive_api_key:
from loghive_client import LogHiveHandler
handler = LogHiveHandler(
project=settings.loghive_project,
api_key=settings.loghive_api_key,
endpoint=settings.loghive_endpoint,
level=logging.INFO,
)
logging.getLogger().addHandler(handler)
logging.info("LogHive 日志系统已连接")
from app.scheduler.jobs import shutdown_scheduler, start_scheduler
start_scheduler()
yield
shutdown_scheduler()
await engine.dispose()
app = FastAPI(
title="广西政府采购网公告监控系统",
version="2.0.0",
lifespan=lifespan,
docs_url="/docs" if settings.debug else None,
redoc_url=None,
)
app.include_router(api_router)
@app.get("/health")
async def health():
return {"status": "ok"}
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import hashlib
from datetime import datetime
from sqlalchemy import Boolean, DateTime, Integer, String, Text, func
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
class Base(DeclarativeBase):
pass
class Announcement(Base):
__tablename__ = "announcements"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
title: Mapped[str] = mapped_column(String(500), nullable=False)
publish_date: Mapped[datetime] = mapped_column(DateTime, nullable=False)
purchase_name: Mapped[str] = mapped_column(String(200), default="")
content_url: Mapped[str] = mapped_column(Text, default="")
source_code: Mapped[str] = mapped_column(String(50), nullable=False)
source_name: Mapped[str] = mapped_column(String(100), nullable=False)
announcement_type: Mapped[str] = mapped_column(String(50), default="purchase")
content_hash: Mapped[str] = mapped_column(String(64), unique=True, nullable=False)
crawl_mode: Mapped[str] = mapped_column(String(20), default="auto")
is_new: Mapped[bool] = mapped_column(Boolean, default=True)
is_sent: Mapped[bool] = mapped_column(Boolean, default=False)
keyword_matched: Mapped[bool] = mapped_column(Boolean, default=False)
ai_relevant: Mapped[bool | None] = mapped_column(Boolean, nullable=True, default=None)
ai_analysis: Mapped[str | None] = mapped_column(Text, nullable=True, default=None)
created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now(), onupdate=func.now()) # noqa: E501
@staticmethod
def generate_hash(title: str, publish_date: str, purchase_name: str,
content_url: str, source_code: str) -> str:
content = f"{title}|{publish_date}|{purchase_name}|{content_url}|{source_code}"
return hashlib.sha256(content.encode("utf-8")).hexdigest()
@staticmethod
def source_map() -> dict:
import json
from app.config import settings
return json.loads(settings.announcement_sources)
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from datetime import date
from sqlalchemy import Boolean, Date, Integer, String
from sqlalchemy.orm import Mapped, mapped_column
from app.models.announcement import Base
class ChineseHoliday(Base):
__tablename__ = "chinese_holidays"
date: Mapped[date] = mapped_column(Date, primary_key=True)
is_workday: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
year: Mapped[int] = mapped_column(Integer, nullable=False, index=True)
description: Mapped[str] = mapped_column(String(100), nullable=False, default="")
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from datetime import datetime
from pydantic import BaseModel
class AnnouncementResponse(BaseModel):
id: int
title: str
publish_date: datetime
purchase_name: str
content_url: str
source_code: str
source_name: str
announcement_type: str
crawl_mode: str
is_new: bool
is_sent: bool
keyword_matched: bool
created_at: datetime
model_config = {"from_attributes": True}
class AnnouncementListResponse(BaseModel):
total: int
page: int
page_size: int
items: list[AnnouncementResponse]
class CrawlTriggerRequest(BaseModel):
spider_name: str | None = None
keywords: list[str] | None = None
sources: list[str] | None = None
manual: bool = False
class CrawlStatusResponse(BaseModel):
running: bool
last_crawl_time: datetime | None = None
total_sources: int
class SourceInfo(BaseModel):
code: str
name: str
type: str
class SourcesResponse(BaseModel):
sources: list[SourceInfo]
class JobResponse(BaseModel):
id: str
name: str
next_run_time: str | None = None
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import logging
from datetime import datetime
from zoneinfo import ZoneInfo
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.cron import CronTrigger
from app.api.deps import get_db, get_crawl_service
from app.config import settings
logger = logging.getLogger(__name__)
scheduler = AsyncIOScheduler()
NIGHT_START = 22 # 22:00
NIGHT_END = 8 # 08:00
TZ = ZoneInfo("Asia/Shanghai")
def _is_night_time() -> bool:
"""22:00 ~ 次日 08:00 夜间时段"""
current = datetime.now(TZ).hour
return current >= NIGHT_START or current < NIGHT_END
async def _should_skip() -> bool:
"""检查是否应该跳过爬取"""
if _is_night_time():
logger.info("夜间时段 (22:00-08:00),跳过爬取")
return True
from app.services.holiday_service import is_workday
async for db in get_db():
if not await is_workday(db):
logger.info("非工作日,跳过爬取")
return True
return False
async def scheduled_crawl():
if await _should_skip():
return
logger.info("开始定时爬取任务")
service = get_crawl_service()
for name in service.get_spider_names():
try:
results = await service.run_spider(name)
for r in results:
if not r.success:
logger.error(f"Spider {name} 失败: {r.error_message}")
elif r.pipeline_result:
logger.info(
f"Spider {name}: 抓取{r.total_count}条, "
f"新增{r.pipeline_result.stored}条, "
f"通知{r.pipeline_result.notified}"
)
else:
logger.info(f"Spider {name}: 抓取{r.total_count}条 (无新增)")
except Exception as e:
logger.error(f"Spider {name} 异常: {e}")
logger.info("定时爬取任务完成")
def start_scheduler():
if not settings.scheduler_enabled:
return
trigger = CronTrigger.from_crontab(settings.scheduler_cron, timezone=TZ)
scheduler.add_job(
scheduled_crawl,
trigger=trigger,
id="scheduled_crawl",
name="定时爬取",
)
scheduler.start()
logger.info(f"APScheduler 已启动 (cron: {settings.scheduler_cron})")
def shutdown_scheduler():
if scheduler.running:
scheduler.shutdown(wait=False)
logger.info("APScheduler 已停止")
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import json
import logging
from dataclasses import dataclass
from typing import Any
import httpx
from app.config import settings
from app.crawler.parsers import extract_page_content
logger = logging.getLogger(__name__)
@dataclass
class AiResult:
"""DeepSeek 分析结果"""
is_relevant: bool = False
reason: str = ""
business_type: str = ""
error: str | None = None
content_snippet: str | None = None # 提取到的正文前 200 字,供入库参考
class AiAnalyzer:
"""AI 分析器 — 调用 DeepSeek 判断公告是否为中国电信可承接项目"""
def __init__(self):
self.api_key = settings.ai_api_key
self.base_url = settings.ai_base_url.rstrip("/")
self.model = settings.ai_model
self.timeout = settings.ai_timeout
self.prompt_template = settings.ai_prompt_template
async def analyze(self, announcement: dict[str, Any]) -> AiResult:
"""分析单条公告"""
if not self.api_key:
return AiResult(error="AI_API_KEY 未配置")
# 1. 获取公告正文
content_url = announcement.get("content_url", "")
content = None
content_snippet = None
if content_url:
content = await extract_page_content(content_url, self.timeout)
if content:
content_snippet = content[:200]
else:
logger.warning("无法获取公告正文: %s", content_url)
# 2. 构建 prompt
prompt = self.prompt_template.format(
title=announcement.get("title", ""),
purchase_name=announcement.get("purchase_name", ""),
announcement_type=announcement.get("announcement_type", ""),
content=content or "(无法获取正文,请仅根据标题和采购人信息判断)",
)
# 3. 调用 DeepSeek API
try:
result = await self._call_deepseek(prompt)
if result.error:
return AiResult(error=result.error, content_snippet=content_snippet)
return AiResult(
is_relevant=result.is_relevant,
reason=result.reason,
business_type=result.business_type,
content_snippet=content_snippet,
)
except Exception as e:
logger.exception("AI 分析异常")
return AiResult(error=str(e), content_snippet=content_snippet)
async def analyze_batch(
self, announcements: list[dict[str, Any]], max_concurrent: int = 3
) -> list[AiResult]:
"""批量分析,控制并发数"""
import asyncio
sem = asyncio.Semaphore(max_concurrent)
async def _limited(ann: dict[str, Any]) -> AiResult:
async with sem:
return await self.analyze(ann)
tasks = [_limited(ann) for ann in announcements]
return await asyncio.gather(*tasks)
async def _call_deepseek(self, prompt: str) -> AiResult:
"""调用 DeepSeek Chat API"""
url = f"{self.base_url}/chat/completions"
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
}
payload = {
"model": self.model,
"messages": [
{
"role": "system",
"content": "你是一个专业的政府采购项目分析师。请根据公告信息判断是否为中国电信可以承接的项目,并用 JSON 格式回答。",
},
{"role": "user", "content": prompt},
],
"temperature": 0.3, # 低温度,提高判断一致性
"max_tokens": 512,
}
async with httpx.AsyncClient(timeout=self.timeout) as client:
response = await client.post(url, headers=headers, json=payload)
if response.status_code != 200:
return AiResult(
error=f"API 请求失败 (HTTP {response.status_code}): {response.text[:200]}"
)
data = response.json()
choices = data.get("choices", [])
if not choices:
return AiResult(error="API 返回空 choices")
content = choices[0].get("message", {}).get("content", "")
return self._parse_response(content)
@staticmethod
def _parse_response(content: str) -> AiResult:
"""从 LLM 回复中提取 JSON 结果"""
# 清理可能的 markdown 代码块标记
content = content.strip()
if content.startswith("```"):
# 移除 ```json 或 ``` 包裹
lines = content.split("\n")
if lines[0].strip().startswith("```"):
lines = lines[1:]
if lines and lines[-1].strip() == "```":
lines = lines[:-1]
content = "\n".join(lines).strip()
try:
result = json.loads(content)
return AiResult(
is_relevant=bool(result.get("is_relevant", False)),
reason=str(result.get("reason", "")),
business_type=str(result.get("business_type", "")),
)
except (json.JSONDecodeError, ValueError) as e:
logger.warning("JSON 解析失败: %s\n原始内容: %s", e, content[:200])
return AiResult(error=f"JSON 解析失败: {e}")
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"""AI 运行时状态 — 支持企微菜单动态开关"""
import logging
from app.config import settings
logger = logging.getLogger(__name__)
# 运行时覆盖值,None 表示使用 settings.ai_enabled
_runtime_override: bool | None = None
def is_ai_enabled() -> bool:
"""获取 AI 分析当前是否启用(考虑运行时覆盖)"""
if _runtime_override is not None:
return _runtime_override
return settings.ai_enabled
def set_ai_enabled(enabled: bool) -> bool:
"""设置 AI 分析运行时开关,返回是否真的发生了变化"""
global _runtime_override
current = is_ai_enabled()
if enabled == current:
return False
_runtime_override = enabled
status = "启用" if enabled else "禁用"
logger.info("AI 分析已通过企微菜单%s", status)
return True
def get_ai_status_text() -> str:
"""获取 AI 状态文本"""
return "已启用" if is_ai_enabled() else "已禁用"
def get_whitelist() -> list[str]:
"""获取 AI 白名单用户列表"""
raw = settings.ai_whitelist
if not raw:
return []
return [u.strip() for u in raw.split(",") if u.strip()]
def is_whitelisted(user_id: str) -> bool:
"""检查用户是否在 AI 白名单中(不区分大小写)"""
whitelist = get_whitelist()
if not whitelist:
# 白名单为空则所有人都可以操作
return True
return user_id.lower() in [u.lower() for u in whitelist]
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import logging
from sqlalchemy.ext.asyncio import async_sessionmaker
from app.crawler.base import BaseSpider, CrawlResult
from app.services.notification_service import NotificationService
from app.services.pipeline import PostCrawlPipeline
logger = logging.getLogger(__name__)
class CrawlService:
def __init__(self, db_session_factory: async_sessionmaker,
notification_service: NotificationService):
self.db_session_factory = db_session_factory
self.notification_service = notification_service
self.spiders: dict[str, BaseSpider] = {}
def register(self, spider: BaseSpider):
self.spiders[spider.name] = spider
async def run_all(self) -> list[CrawlResult]:
results = []
for name in self.spiders:
spider_results = await self.run_spider(name)
results.extend(spider_results)
return results
async def run_spider(self, name: str) -> list[CrawlResult]:
spider = self.spiders.get(name)
if spider is None:
return [CrawlResult(
source_code=name, source_name=name,
error_message=f"Spider not found: {name}",
)]
# 1. Crawl
result = await spider.crawl()
# 2. Pipeline: store → filter → notify
if result.success and result.announcements:
try:
config = spider.get_pipeline_config()
async with self.db_session_factory() as db:
pipeline = PostCrawlPipeline(
db_session=db,
notification_service=self.notification_service,
)
pipe_result = await pipeline.process(
result.announcements, config,
)
result.pipeline_result = pipe_result
result.new_count = pipe_result.stored
logger.info(
f"Spider {name}: total={result.total_count}, "
f"stored={pipe_result.stored}, "
f"filtered={pipe_result.filtered}, "
f"notified={pipe_result.notified}"
)
except Exception as e:
logger.error(f"Spider {name} pipeline 异常: {e}")
if not result.error_message:
result.error_message = str(e)
return [result]
def get_spider_names(self) -> list[str]:
return list(self.spiders.keys())
def get_pipeline_config(self, name: str):
spider = self.spiders.get(name)
if spider:
return spider.get_pipeline_config()
return None
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from datetime import date
from typing import Any
def filter_by_keywords(announcements: list[dict[str, Any]],
keywords: list[str]) -> list[dict[str, Any]]:
if not keywords:
return announcements
filtered = []
for ann in announcements:
search_text = f"{ann.get('title', '')} {ann.get('purchase_name', '')}"
if any(kw in search_text for kw in keywords):
ann["keyword_matched"] = True
filtered.append(ann)
return filtered
def filter_by_date(announcements: list[dict[str, Any]],
start_date: date | None = None,
end_date: date | None = None) -> list[dict[str, Any]]:
if not start_date and not end_date:
return announcements
filtered = []
for ann in announcements:
pub_date = ann.get("publish_date")
if not pub_date:
continue
if not isinstance(pub_date, date):
pub_date = pub_date.date() if hasattr(pub_date, "date") else None
if pub_date is None:
continue
if start_date and pub_date < start_date:
continue
if end_date and pub_date > end_date:
continue
filtered.append(ann)
return filtered
def dedup_by_hash(announcements: list[dict[str, Any]]) -> list[dict[str, Any]]:
seen = set()
result = []
for ann in announcements:
h = ann.get("content_hash")
if h and h not in seen:
seen.add(h)
result.append(ann)
return result
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import logging
from datetime import date
import httpx
from sqlalchemy.dialects.postgresql import insert as pg_insert
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.holiday import ChineseHoliday
logger = logging.getLogger(__name__)
HOLIDAY_API = "http://timor.tech/api/holiday/year"
def now_in_china() -> date:
from datetime import datetime
from zoneinfo import ZoneInfo
return datetime.now(ZoneInfo("Asia/Shanghai")).date()
async def sync_holidays(db: AsyncSession, year: int) -> int:
"""同步中国节假日数据,返回更新的记录数"""
url = f"{HOLIDAY_API}/{year}"
async with httpx.AsyncClient(timeout=15) as client:
response = await client.get(url)
data = response.json()
if data.get("code") != 0:
logger.error(f"节假日 API 返回错误: {data}")
return 0
holidays = data.get("holiday", {})
if not holidays:
return 0
# 也标记周末(周六日但非调休工作日)
from datetime import timedelta
current = date(year, 1, 1)
end = date(year, 12, 31)
records: dict[date, dict] = {}
while current <= end:
dow = current.weekday() # 0=Mon, 6=Sun
# 默认:周一~五为工作日,周六日为非工作日
default_workday = dow < 5
records[current] = {
"date": current,
"is_workday": default_workday,
"year": year,
"description": "",
}
current += timedelta(days=1)
# 覆盖节假日数据
# holiday=true → 休息日(无论 wage 值)
# holiday=false → 调休补班日(周末也要上班)
for date_str, info_str in holidays.items():
d = date.fromisoformat(f"{year}-{date_str}")
if d.year != year:
continue
info = info_str if isinstance(info_str, dict) else {}
holiday = info.get("holiday", False)
name = info.get("name", "")
records[d]["description"] = name
records[d]["is_workday"] = not holiday # holiday=false → 调休工作日
# Upsert
values = list(records.values())
stmt = pg_insert(ChineseHoliday).values(values)
stmt = stmt.on_conflict_do_update(
index_elements=["date"],
set_={"is_workday": stmt.excluded.is_workday,
"description": stmt.excluded.description},
)
result = await db.execute(stmt)
await db.commit()
logger.info(f"已同步 {year} 年节假日,{len(values)}")
return result.rowcount
async def is_workday(db: AsyncSession, day: date | None = None) -> bool:
"""判断某天是否为工作日"""
if day is None:
day = now_in_china()
from sqlalchemy import select
result = await db.execute(
select(ChineseHoliday.is_workday).where(ChineseHoliday.date == day)
)
row = result.fetchone()
if row is None:
# 无数据时,按周判断
return day.weekday() < 5
return row[0]
async def was_yesterday_workday(db: AsyncSession) -> bool:
"""昨天是工作日吗"""
from datetime import timedelta
yesterday = now_in_china() - timedelta(days=1)
return await is_workday(db, yesterday)
+78
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@@ -0,0 +1,78 @@
from typing import Any
from app.config import settings
from app.wechat.client import WeChatClient
class NotificationService:
def __init__(self):
self.client = WeChatClient()
async def send(self, announcements: list[dict[str, Any]]) -> int:
if not settings.wechat_enabled:
return 0
if not announcements:
return 0
sent = 0
for ann in announcements:
try:
# 发送普通 textcard
title = ann.get("title", "")
if len(title) > 128:
title = title[:125] + "..."
purchase_name = ann.get("purchase_name", "")
if len(purchase_name) > 25:
purchase_name = purchase_name[:22] + "..."
pub_date = ann.get("publish_date")
time_str = pub_date.strftime("%Y-%m-%d %H:%M") if pub_date else "时间未知"
source_name = ann.get("source_name", "")
description = f"{source_name} | {purchase_name} | {time_str}"
url = ann.get("content_url", "")
if await self.client.send_textcard(title, description, url):
sent += 1
# AI 标记为可承接的,额外发送着重通知
ai_result = ann.get("ai_result")
if ai_result and ai_result.get("is_relevant"):
await self._send_ai_emphasis(ann, ai_result)
except Exception:
continue
return sent
async def _send_ai_emphasis(
self, ann: dict[str, Any], ai_result: dict[str, Any]
) -> bool:
"""发送 AI 分析的着重通知(markdown 格式)"""
title = ann.get("title", "")
purchase_name = ann.get("purchase_name", "")
pub_date = ann.get("publish_date")
time_str = pub_date.strftime("%Y-%m-%d %H:%M") if pub_date else "时间未知"
url = ann.get("content_url", "")
reason = ai_result.get("reason", "")
business_type = ai_result.get("business_type", "")
# 企业微信 markdown 格式
md = (
f"{settings.ai_analysis_title}\n"
f"---\n"
f"**标题:** [{title}]({url})\n"
f"> 采购人:{purchase_name}\n"
f"> 发布时间:{time_str}\n\n"
f"**🤖 AI 分析:**\n"
f"> {reason}\n\n"
f"**🏷 业务分类:** {business_type}\n"
f"---\n"
f"[📄 查看公告原文]({url})"
)
return await self.client.send_markdown(md)
+189
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@@ -0,0 +1,189 @@
import logging
from typing import Any
from app.config import settings
from app.crawler.base import PipelineConfig, PipelineResult
from app.services.ai_state import is_ai_enabled
from app.services.filter_service import dedup_by_hash
logger = logging.getLogger(__name__)
class PostCrawlPipeline:
def __init__(self, db_session, notification_service):
self.db = db_session
self.notify = notification_service
async def process(self, announcements: list[dict[str, Any]],
config: PipelineConfig) -> PipelineResult:
result = PipelineResult()
if not announcements:
return result
# 1. Dedup
if config.dedup_enabled:
announcements = dedup_by_hash(announcements)
# 2. 先标记 keyword_matched,再存库
if config.filter_enabled and config.keywords:
for a in announcements:
a["keyword_matched"] = self._match_keywords(a, config.keywords)
# 3. Store to database
stored = await self._save_to_db(announcements)
result.stored = stored
to_notify = announcements
# 4. Filter
if config.filter_enabled and config.keywords:
before = len(to_notify)
to_notify = [a for a in to_notify if a.get("keyword_matched")]
result.filtered = before - len(to_notify)
# 5. Skip already-notified
if to_notify:
to_notify = await self._exclude_sent(to_notify)
# 5.5 AI 分析(可选,支持运行时开关)
if is_ai_enabled() and to_notify:
await self._ai_analyze(to_notify)
# 6. Notify
if config.notify_mode == "all":
result.notified = await self._send_notifications(to_notify)
elif config.notify_mode == "filtered":
if config.filter_enabled and config.keywords:
result.notified = await self._send_notifications(to_notify)
elif not config.filter_enabled:
result.notified = await self._send_notifications(to_notify)
# 7. Mark sent
if config.mark_sent and result.notified > 0:
await self._mark_sent(to_notify)
return result
async def _save_to_db(self, announcements: list[dict[str, Any]]) -> int:
from sqlalchemy.dialects.postgresql import insert
from app.models.announcement import Announcement
if not announcements:
return 0
values = [{
"title": a["title"],
"publish_date": a["publish_date"],
"purchase_name": a.get("purchase_name", ""),
"content_url": a.get("content_url", ""),
"source_code": a["source_code"],
"source_name": a["source_name"],
"announcement_type": a.get("announcement_type", "purchase"),
"content_hash": a["content_hash"],
"crawl_mode": a.get("crawl_mode", "auto"),
"is_new": a.get("is_new", True),
"is_sent": False,
"keyword_matched": a.get("keyword_matched", False),
} for a in announcements]
stmt = insert(Announcement).values(values)
stmt = stmt.on_conflict_do_nothing(index_elements=["content_hash"])
result_proxy = await self.db.execute(stmt)
await self.db.commit()
return result_proxy.rowcount if result_proxy.rowcount >= 0 else len(values)
async def _send_notifications(self, announcements: list[dict[str, Any]]) -> int:
return await self.notify.send(announcements)
async def _mark_sent(self, announcements: list[dict[str, Any]]) -> int:
from sqlalchemy import update
from app.models.announcement import Announcement
hashes = [a["content_hash"] for a in announcements if a.get("content_hash")]
if not hashes:
return 0
stmt = (
update(Announcement)
.where(Announcement.content_hash.in_(hashes))
.values(is_sent=True)
)
result = await self.db.execute(stmt)
await self.db.commit()
return result.rowcount
async def _exclude_sent(self, announcements: list[dict[str, Any]]) -> list[dict[str, Any]]:
from sqlalchemy import select
from app.models.announcement import Announcement
hashes = [a["content_hash"] for a in announcements if a.get("content_hash")]
if not hashes:
return announcements
stmt = select(Announcement.content_hash).where(
Announcement.content_hash.in_(hashes),
Announcement.is_sent == True, # noqa: E712
)
result = await self.db.execute(stmt)
sent_hashes = {row[0] for row in result.fetchall()}
return [a for a in announcements if a.get("content_hash") not in sent_hashes]
@staticmethod
def _match_keywords(announcement: dict[str, Any], keywords: list[str]) -> bool:
text = f"{announcement.get('title', '')} {announcement.get('purchase_name', '')}"
return any(kw in text for kw in keywords)
async def _ai_analyze(self, announcements: list[dict[str, Any]]) -> None:
"""对公告列表执行 AI 分析,将结果附加到每条公告的 ai_result 字段,并更新数据库"""
from app.services.ai_analyzer import AiAnalyzer
analyzer = AiAnalyzer()
logger.info("AI 分析开始:共 %d 条公告", len(announcements))
results = await analyzer.analyze_batch(announcements)
ai_updates = []
for ann, ai_result in zip(announcements, results):
ann["ai_result"] = {
"is_relevant": ai_result.is_relevant,
"reason": ai_result.reason,
"business_type": ai_result.business_type,
}
if ai_result.error:
logger.warning("AI 分析失败 [%s]: %s", ann.get("title", "")[:30], ai_result.error)
else:
ai_updates.append({
"content_hash": ann["content_hash"],
"ai_relevant": ai_result.is_relevant,
"ai_analysis": ai_result.reason,
})
if ai_result.is_relevant:
logger.info("AI 标记可承接项目: %s (%s)", ann.get("title", "")[:40], ai_result.business_type)
# 批量更新数据库中的 AI 分析结果
if ai_updates:
await self._update_ai_results(ai_updates)
async def _update_ai_results(self, updates: list[dict[str, Any]]) -> None:
"""批量更新公告的 AI 分析结果到数据库"""
from sqlalchemy import update
from app.models.announcement import Announcement
for u in updates:
stmt = (
update(Announcement)
.where(Announcement.content_hash == u["content_hash"])
.values(
ai_relevant=u["ai_relevant"],
ai_analysis=u["ai_analysis"],
)
)
await self.db.execute(stmt)
await self.db.commit()
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+88
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@@ -0,0 +1,88 @@
import logging
import time
import httpx
from app.config import settings
logger = logging.getLogger(__name__)
class WeChatClient:
def __init__(self):
self._access_token: str | None = None
self._token_expires_at: float = 0
async def _get_access_token(self) -> str | None:
now = time.time()
if self._access_token and now < self._token_expires_at:
return self._access_token
url = f"{settings.wechat_api_base_url}/cgi-bin/gettoken"
params = {
"corpid": settings.wechat_corp_id,
"corpsecret": settings.wechat_secret,
}
async with httpx.AsyncClient(timeout=30) as client:
response = await client.get(url, params=params)
data = response.json()
if data.get("errcode") == 0:
self._access_token = data["access_token"]
self._token_expires_at = now + data.get("expires_in", 7200) - 300
return self._access_token
logger.error(f"获取 access_token 失败: {data}")
return None
async def send_text(self, content: str, to_user: str = "@all") -> bool:
return await self._send_message("text", {"content": content}, to_user)
async def send_markdown(self, content: str, to_user: str = "@all") -> bool:
return await self._send_message("markdown", {"content": content}, to_user)
async def send_textcard(
self,
title: str,
description: str,
url: str,
to_user: str = "@all",
btn_txt: str = "查看详情",
) -> bool:
return await self._send_message(
"textcard",
{
"title": title,
"description": description,
"url": url,
"btntxt": btn_txt,
},
to_user,
)
async def _send_message(
self, msgtype: str, msg_data: dict, to_user: str = "@all"
) -> bool:
token = await self._get_access_token()
if not token:
logger.error("无法获取 access_token,跳过消息发送")
return False
url = f"{settings.wechat_api_base_url}/cgi-bin/message/send"
params = {"access_token": token}
body = {
"touser": to_user,
"msgtype": msgtype,
"agentid": int(settings.wechat_agent_id),
msgtype: msg_data,
}
async with httpx.AsyncClient(timeout=30) as client:
response = await client.post(url, params=params, json=body)
data = response.json()
errcode = data.get("errcode")
if errcode == 0:
return True
logger.error(
f"企业微信消息发送失败: errcode={errcode} errmsg={data.get('errmsg')} "
f"msgtype={msgtype} touser={to_user}"
)
return False
@@ -1,20 +1,20 @@
#!/usr/bin/env python #!/usr/bin/env python
# -*- encoding:utf-8 -*-
""" 对企业微信发送给企业后台的消息加解密示例代码. """ 对企业微信发送给企业后台的消息加解密示例代码.
@copyright: Copyright (c) 1998-2014 Tencent Inc. @copyright: Copyright (c) 1998-2014 Tencent Inc.
""" """
# ------------------------------------------------------------------------ # ------------------------------------------------------------------------
import logging
import base64 import base64
import random
import hashlib import hashlib
import time import logging
import struct import random
from Crypto.Cipher import AES
import xml.etree.cElementTree as ET
import socket import socket
import struct
import time
import xml.etree.ElementTree as ET
from Crypto.Cipher import AES
try: try:
import ierror import ierror
@@ -29,11 +29,11 @@ except ImportError:
""" """
class FormatException(Exception): class FormatError(Exception):
pass pass
def throw_exception(message, exception_class=FormatException): def throw_exception(message, exception_class=FormatError):
"""my define raise exception function""" """my define raise exception function"""
raise exception_class(message) raise exception_class(message)
@@ -104,7 +104,7 @@ class XMLParse:
return resp_xml return resp_xml
class PKCS7Encoder(): class PKCS7Encoder:
"""提供基于PKCS7算法的加解密接口""" """提供基于PKCS7算法的加解密接口"""
block_size = 32 block_size = 32
@@ -134,7 +134,7 @@ class PKCS7Encoder():
return decrypted[:-pad] return decrypted[:-pad]
class Prpcrypt(object): class Prpcrypt:
"""提供接收和推送给企业微信消息的加解密接口""" """提供接收和推送给企业微信消息的加解密接口"""
def __init__(self, key): def __init__(self, key):
@@ -151,7 +151,7 @@ class Prpcrypt(object):
""" """
# 16位随机字符串添加到明文开头 # 16位随机字符串添加到明文开头
text = text.encode() text = text.encode()
text = self.get_random_str() + struct.pack("I", socket.htonl(len(text))) + text + receiveid.encode() text = self.get_random_str() + struct.pack("I", socket.htonl(len(text))) + text + receiveid.encode() # noqa: E501
# 使用自定义的填充方式对明文进行补位填充 # 使用自定义的填充方式对明文进行补位填充
pkcs7 = PKCS7Encoder() pkcs7 = PKCS7Encoder()
@@ -206,14 +206,14 @@ class Prpcrypt(object):
return str(random.randint(1000000000000000, 9999999999999999)).encode() return str(random.randint(1000000000000000, 9999999999999999)).encode()
class WXBizMsgCrypt(object): class WXBizMsgCrypt:
# 构造函数 # 构造函数
def __init__(self, sToken, sEncodingAESKey, sReceiveId): def __init__(self, sToken, sEncodingAESKey, sReceiveId):
try: try:
self.key = base64.b64decode(sEncodingAESKey + "=") self.key = base64.b64decode(sEncodingAESKey + "=")
assert len(self.key) == 32 assert len(self.key) == 32
except: except Exception:
throw_exception("[error]: EncodingAESKey unvalid !", FormatException) throw_exception("[error]: EncodingAESKey unvalid !", FormatError)
# return ierror.WXBizMsgCrypt_IllegalAesKey,None # return ierror.WXBizMsgCrypt_IllegalAesKey,None
self.m_sToken = sToken self.m_sToken = sToken
self.m_sReceiveId = sReceiveId self.m_sReceiveId = sReceiveId
@@ -240,9 +240,9 @@ class WXBizMsgCrypt(object):
def EncryptMsg(self, sReplyMsg, sNonce, timestamp=None): def EncryptMsg(self, sReplyMsg, sNonce, timestamp=None):
# 将企业回复用户的消息加密打包 # 将企业回复用户的消息加密打包
# @param sReplyMsg: 企业号待回复用户的消息,xml格式的字符串 # @param sReplyMsg: 企业号待回复用户的消息,xml格式的字符串
# @param sTimeStamp: 时间戳,可以自己生成,也可以用URL参数的timestamp,如为None则自动用当前时间 # @param sTimeStamp: 时间戳,可以自己生成,也可以用URL参数的timestamp,如为None则自动用当前时间 # noqa: E501
# @param sNonce: 随机串,可以自己生成,也可以用URL参数的nonce # @param sNonce: 随机串,可以自己生成,也可以用URL参数的nonce # noqa: E501
# sEncryptMsg: 加密后的可以直接回复用户的密文,包括msg_signature, timestamp, nonce, encrypt的xml格式的字符串, # sEncryptMsg: 加密后的可以直接回复用户的密文,包括msg_signature, timestamp, nonce, encrypt的xml格式的字符串, # noqa: E501
# return:成功0sEncryptMsg,失败返回对应的错误码None # return:成功0sEncryptMsg,失败返回对应的错误码None
pc = Prpcrypt(self.key) pc = Prpcrypt(self.key)
ret, encrypt = pc.encrypt(sReplyMsg, self.m_sReceiveId) ret, encrypt = pc.encrypt(sReplyMsg, self.m_sReceiveId)
+387
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@@ -0,0 +1,387 @@
import asyncio
import logging
import time
import xml.etree.ElementTree as ET
from app.config import settings
from app.wechat.crypto import WXBizMsgCrypt
from app.wechat.client import WeChatClient
logger = logging.getLogger(__name__)
# 防重入:记录最近一次触发爬取的时间戳,60秒内不重复执行
_last_crawl_time: float = 0.0
_crawl_lock = asyncio.Lock()
# 防重入:最新公告爬取,60秒内不重复执行
_last_latest_time: float = 0.0
_latest_lock = asyncio.Lock()
class WeChatMessageHandler:
def __init__(self):
self.wxcpt = WXBizMsgCrypt(
sToken=settings.wechat_token,
sEncodingAESKey=settings.wechat_encoding_aes_key,
sReceiveId=settings.wechat_corp_id,
)
self.client = WeChatClient()
def verify_url(
self, msg_signature: str, timestamp: str, nonce: str, echostr: str
) -> str | None:
ret, sEchoStr = self.wxcpt.VerifyURL(
msg_signature, timestamp, nonce, echostr
)
if ret == 0:
return (
sEchoStr.decode("utf-8")
if isinstance(sEchoStr, bytes)
else sEchoStr
)
return None
def decrypt_message(
self,
post_data: str,
msg_signature: str,
timestamp: str,
nonce: str,
) -> ET.Element | None:
ret, xml_content = self.wxcpt.DecryptMsg(
post_data, msg_signature, timestamp, nonce
)
if ret != 0:
return None
return ET.fromstring(xml_content)
def encrypt_response(
self, response_xml: str, nonce: str, timestamp: str
) -> str | None:
ret, encrypted = self.wxcpt.EncryptMsg(response_xml, nonce, timestamp)
if ret == 0:
return encrypted
return None
async def handle_event(
self, event: str, event_key: str | None, from_user: str
) -> str | None:
if event != "click" or not event_key:
return None
if event_key == "today_stats":
return await self._handle_today_stats(from_user)
elif event_key == "trigger_crawl":
return await self._handle_trigger_crawl(from_user)
elif event_key == "sync_holidays":
return await self._handle_sync_holidays(from_user)
elif event_key == "monitor_config":
return await self._handle_monitor_config(from_user)
elif event_key == "system_status":
return await self._handle_system_status(from_user)
elif event_key == "workday_status":
return await self._handle_workday_status(from_user)
elif event_key == "latest_announcements":
return await self._handle_latest_announcements(from_user)
elif event_key == "pause_scheduler":
return await self._handle_pause_scheduler(from_user)
elif event_key == "resume_scheduler":
return await self._handle_resume_scheduler(from_user)
elif event_key == "toggle_ai":
return await self._handle_toggle_ai(from_user)
return None
async def handle_text(self, content: str, from_user: str) -> str | None:
"""文本消息:返回帮助提示"""
help_text = (
"请使用菜单操作:\n"
"---\n"
"📋 最新公告 - 获取最新公告\n"
"📊 查询 → 监控配置/系统状态/今日工作日\n"
"⚙️ 系统管理 → 立即爬取/同步节假日/AI 分析"
)
ok = await self.client.send_text(help_text, from_user)
if not ok:
logger.warning(f"发送帮助消息失败, touser={from_user}")
return None
async def _handle_today_stats(self, from_user: str) -> str | None:
from app.api.deps import get_db
try:
async for db in get_db():
from sqlalchemy import func, select
from app.models.announcement import Announcement
total_result = await db.execute(
select(func.count()).select_from(Announcement)
)
total = total_result.scalar() or 0
today_result = await db.execute(
select(func.count()).where(
func.date(Announcement.publish_date) == func.current_date()
).select_from(Announcement)
)
today = today_result.scalar() or 0
text = f"今日新增: {today}\n累计公告: {total}"
await self.client.send_text(text, from_user)
except Exception as e:
logger.error(f"查询统计失败: {e}")
await self.client.send_text("查询失败,请稍后再试", from_user)
async def _handle_trigger_crawl(self, from_user: str) -> str | None:
global _last_crawl_time
from app.api.deps import get_crawl_service
# 防重入:企业微信会对同一事件重试多次,60秒内只执行一次
async with _crawl_lock:
now = time.monotonic()
if now - _last_crawl_time < 60:
remaining = int(60 - (now - _last_crawl_time))
logger.info(f"爬取请求被忽略(防重入),距上次 {now - _last_crawl_time:.1f}s")
await self.client.send_text(
f"爬取任务进行中,请 {remaining} 秒后再试", from_user
)
return None
_last_crawl_time = now
await self.client.send_text("开始爬取,请稍候...", from_user)
try:
service = get_crawl_service()
results = await service.run_all()
total = sum(r.total_count for r in results)
stored = sum(
r.pipeline_result.stored for r in results
if r.pipeline_result
)
notified = sum(
r.pipeline_result.notified for r in results
if r.pipeline_result
)
errors = [r.error_message for r in results if not r.success]
msg = f"爬取完成\n抓取: {total}\n新增: {stored}\n推送: {notified}"
if errors:
msg += f"\n异常: {errors[0][:50]}"
await self.client.send_text(msg, from_user)
except Exception as e:
logger.error(f"手动爬取失败: {e}")
await self.client.send_text(f"爬取失败: {e}", from_user)
async def _handle_sync_holidays(self, from_user: str) -> str | None:
from app.services.holiday_service import now_in_china, sync_holidays
from app.api.deps import get_db
try:
async for db in get_db():
year = now_in_china().year
count = await sync_holidays(db, year)
await self.client.send_text(
f"已同步 {year} 年节假日\n{count} 条记录", from_user,
)
except Exception as e:
logger.error(f"同步节假日失败: {e}")
await self.client.send_text(f"同步失败: {e}", from_user)
async def _handle_monitor_config(self, from_user: str) -> str | None:
import json
from app.services.ai_state import get_ai_status_text
try:
keywords = settings.crawler_keywords
sources = json.loads(settings.announcement_sources)
source_names = "".join(v["name"] for v in sources.values())
text = (
f"📋 监控配置\n"
f"---\n"
f"监控关键词: {', '.join(keywords)}\n"
f"爬取页数: {settings.crawler_max_pages}\n"
f"定时规则: {settings.scheduler_cron}\n"
f"公告来源: {source_names}\n"
f"---\n"
f"🤖 AI 分析: {get_ai_status_text()}\n"
f"AI 模型: {settings.ai_model}\n"
f"重点标记: {settings.ai_analysis_title}"
)
await self.client.send_text(text, from_user)
except Exception as e:
logger.error(f"查询监控配置失败: {e}")
await self.client.send_text("查询失败,请稍后再试", from_user)
async def _handle_system_status(self, from_user: str) -> str | None:
from app.api.deps import get_db
from sqlalchemy import func, select
from app.models.announcement import Announcement
from app.services.ai_state import get_ai_status_text
try:
async for db in get_db():
total_result = await db.execute(
select(func.count()).select_from(Announcement)
)
total = total_result.scalar() or 0
today_result = await db.execute(
select(func.count()).where(
func.date(Announcement.publish_date) == func.current_date()
).select_from(Announcement)
)
today = today_result.scalar() or 0
unsent_result = await db.execute(
select(func.count()).where(
Announcement.is_sent == False, # noqa: E712
Announcement.keyword_matched == True, # noqa: E712
).select_from(Announcement)
)
unsent = unsent_result.scalar() or 0
# AI 标记统计
ai_relevant_result = await db.execute(
select(func.count()).where(
Announcement.ai_relevant == True, # noqa: E712
).select_from(Announcement)
)
ai_relevant = ai_relevant_result.scalar() or 0
scheduler_status = "已启用" if settings.scheduler_enabled else "已禁用"
text = (
f"📊 系统状态\n"
f"---\n"
f"累计公告: {total}\n"
f"今日新增: {today}\n"
f"待推送: {unsent}\n"
f"---\n"
f"定时任务: {scheduler_status}\n"
f"定时规则: {settings.scheduler_cron}\n"
f"---\n"
f"🤖 AI 分析: {get_ai_status_text()}\n"
f"AI 标记项目: {ai_relevant}"
)
await self.client.send_text(text, from_user)
except Exception as e:
logger.error(f"查询系统状态失败: {e}")
await self.client.send_text("查询失败,请稍后再试", from_user)
async def _handle_workday_status(self, from_user: str) -> str | None:
from app.services.holiday_service import now_in_china, is_workday
from app.api.deps import get_db
try:
async for db in get_db():
today = now_in_china()
workday = await is_workday(db, today)
status = "工作日,正常爬取" if workday else "非工作日,跳过爬取"
text = f"今天 {today.strftime('%Y-%m-%d %A')}\n{status}"
await self.client.send_text(text, from_user)
except Exception as e:
logger.error(f"查询工作日状态失败: {e}")
await self.client.send_text("查询失败,请稍后再试", from_user)
async def _handle_latest_announcements(self, from_user: str) -> str | None:
global _last_latest_time
from app.api.deps import get_db, get_crawl_service
from sqlalchemy import select, asc, or_
from app.models.announcement import Announcement
# 防重入:60秒内整个函数只执行一次(含推送)
async with _latest_lock:
now = time.monotonic()
if (now - _last_latest_time) < 60:
logger.info("最新公告请求被忽略(防重入)")
return None
_last_latest_time = now
try:
await self.client.send_text("正在获取最新公告,请稍候...", from_user)
service = get_crawl_service()
await service.run_all()
# 查:广西政采网关键词匹配 + 大化县政府网全部,取最新6条后按时间升序推送
async for db in get_db():
from sqlalchemy import select, desc, or_
result = await db.execute(
select(Announcement)
.where(or_(
Announcement.keyword_matched == True, # noqa: E712
Announcement.source_code == "dahuagov",
))
.order_by(desc(Announcement.publish_date))
.limit(6)
)
items = result.scalars().all()
if not items:
await self.client.send_text("暂无公告", from_user)
return None
# 按时间升序推送,企微里向上滑即为时间正序
for ann in sorted(items, key=lambda a: a.publish_date):
title = ann.title if len(ann.title) <= 128 else ann.title[:125] + "..."
purchase_name = ann.purchase_name or ""
if len(purchase_name) > 25:
purchase_name = purchase_name[:22] + "..."
time_str = ann.publish_date.strftime("%Y-%m-%d %H:%M") if ann.publish_date else "时间未知"
source_name = ann.source_name or ann.source_code or ""
description = f"{source_name} | {purchase_name} | {time_str}"
await self.client.send_textcard(title, description, ann.content_url or "", from_user)
await asyncio.sleep(1)
except Exception as e:
logger.error(f"查询最新公告失败: {e}")
await self.client.send_text("查询失败,请稍后再试", from_user)
async def _handle_pause_scheduler(self, from_user: str) -> str | None:
try:
from app.scheduler.jobs import scheduler
if scheduler.running:
scheduler.pause()
await self.client.send_text("定时任务已暂停", from_user)
else:
await self.client.send_text("定时任务未在运行", from_user)
except Exception as e:
logger.error(f"暂停定时任务失败: {e}")
await self.client.send_text(f"操作失败: {e}", from_user)
async def _handle_toggle_ai(self, from_user: str) -> str | None:
from app.services.ai_state import (
get_ai_status_text,
get_whitelist,
is_ai_enabled,
is_whitelisted,
set_ai_enabled,
)
# 白名单校验
whitelist = get_whitelist()
if whitelist and not is_whitelisted(from_user):
await self.client.send_text(
f"⚠️ 你没有权限操作 AI 分析开关\n"
f"当前仅以下用户可操作:\n{', '.join(whitelist)}",
from_user,
)
return None
current = is_ai_enabled()
changed = set_ai_enabled(not current)
if not changed:
await self.client.send_text(
f"AI 分析当前已是「{get_ai_status_text()}」状态,无需切换",
from_user,
)
return None
await self.client.send_text(
f"✅ AI 分析已切换为「{get_ai_status_text()}\n"
f"下次爬取触发时生效",
from_user,
)
async def _handle_resume_scheduler(self, from_user: str) -> str | None:
try:
from app.scheduler.jobs import scheduler
scheduler.resume()
await self.client.send_text("定时任务已恢复", from_user)
except Exception as e:
logger.error(f"恢复定时任务失败: {e}")
await self.client.send_text(f"操作失败: {e}", from_user)
@@ -1,5 +1,4 @@
#!/usr/bin/env python #!/usr/bin/env python
# -*- coding: utf-8 -*-
######################################################################### #########################################################################
# Author: jonyqin # Author: jonyqin
# Created Time: Thu 11 Sep 2014 01:53:58 PM CST # Created Time: Thu 11 Sep 2014 01:53:58 PM CST
+112
View File
@@ -0,0 +1,112 @@
import logging
import httpx
from app.config import settings
logger = logging.getLogger(__name__)
MENU = {
"button": [
{
"name": "最新公告",
"type": "click",
"key": "latest_announcements",
},
{
"name": "查询",
"sub_button": [
{
"name": "监控配置",
"type": "click",
"key": "monitor_config",
},
{
"name": "系统状态",
"type": "click",
"key": "system_status",
},
{
"name": "今日工作日",
"type": "click",
"key": "workday_status",
},
],
},
{
"name": "系统管理",
"sub_button": [
{
"name": "立即爬取",
"type": "click",
"key": "trigger_crawl",
},
{
"name": "同步节假日",
"type": "click",
"key": "sync_holidays",
},
{
"name": "AI 分析",
"type": "click",
"key": "toggle_ai",
},
],
},
]
}
class MenuManager:
def __init__(self, client=None):
self.client = client
async def _get_token(self) -> str | None:
from app.wechat.client import WeChatClient
c = self.client or WeChatClient()
return await c._get_access_token()
async def create(self) -> bool:
token = await self._get_token()
if not token:
return False
url = f"{settings.wechat_api_base_url}/cgi-bin/menu/create"
params = {"access_token": token, "agentid": int(settings.wechat_agent_id)}
async with httpx.AsyncClient(timeout=15) as client:
response = await client.post(url, params=params, json=MENU)
data = response.json()
if data.get("errcode") == 0:
logger.info("企微菜单创建成功")
return True
logger.error(f"企微菜单创建失败: {data}")
return False
async def delete(self) -> bool:
token = await self._get_token()
if not token:
return False
url = f"{settings.wechat_api_base_url}/cgi-bin/menu/delete"
params = {"access_token": token, "agentid": int(settings.wechat_agent_id)}
async with httpx.AsyncClient(timeout=15) as client:
response = await client.get(url, params=params)
data = response.json()
return data.get("errcode") == 0
async def get(self) -> dict | None:
token = await self._get_token()
if not token:
return None
url = f"{settings.wechat_api_base_url}/cgi-bin/menu/get"
params = {"access_token": token, "agentid": int(settings.wechat_agent_id)}
async with httpx.AsyncClient(timeout=15) as client:
response = await client.get(url, params=params)
data = response.json()
if data.get("errcode") == 0:
return data
return None
+21
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@@ -0,0 +1,21 @@
FROM python:3.12-slim
LABEL maintainer="GX-gp-notify Dev Team" \
version="2.0.0" \
description="广西政府采购网公告监控系统"
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \
libpq-dev && \
rm -rf /var/lib/apt/lists/*
COPY pyproject.toml .
COPY vendor/ vendor/
RUN pip install --no-cache-dir -e ".[dev]" && pip install --no-cache-dir ./vendor/
COPY . .
EXPOSE 8000
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
+17
View File
@@ -0,0 +1,17 @@
services:
app:
build:
context: ..
dockerfile: docker/Dockerfile
tags:
- gx-gp-notify:2.0.0
- gx-gp-notify:latest
image: gx-gp-notify:2.0.0
container_name: gx-gp-notify
ports:
- "18001:8000"
env_file:
- ../.env
volumes:
- ../logs:/app/logs
restart: unless-stopped
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,516 @@
# FastAPI + Docker 迁移设计文档
**日期**: 2026-05-09
**版本**: 1.0
**状态**: 设计阶段
---
## 1. 背景与目标
将现有的广西政府采购网公告监控系统从 Flask CLI 架构迁移到 FastAPI + Docker 部署方案,同时提升代码质量、安全性和可维护性。
### 核心目标
- FastAPI 替代 Flask 回调服务器 + argparse CLI,统一为一个 Web 应用
- Docker 单容器部署,连接现有 PostgreSQL
- SQLAlchemy ORM 替代原始 psycopg2 操作
- APScheduler 内置定时任务
- 环境变量管理配置,敏感信息不提交 git
- 异步改造(httpx + asyncpg
---
## 2. 新项目结构
```
gx-gp-notify/
├── app/
│ ├── __init__.py
│ ├── main.py # FastAPI 应用入口 + lifespan
│ ├── config.py # Pydantic Settings (环境变量驱动)
│ ├── api/
│ │ ├── __init__.py
│ │ ├── router.py # 统一路由注册
│ │ ├── deps.py # 依赖注入 (get_db, get_scheduler)
│ │ ├── announcements.py # 公告 CRUD 端点
│ │ ├── crawl.py # 爬取触发端点
│ │ └── wechat.py # 企业微信回调端点
│ ├── models/
│ │ ├── __init__.py
│ │ ├── announcement.py # SQLAlchemy 模型
│ │ └── schemas.py # Pydantic 请求/响应模型
│ ├── crawler/
│ │ ├── __init__.py
│ │ ├── base.py # Spider 抽象基类 + Pipeline 配置
│ │ ├── gxgp_spider.py # 广西政府采购网爬虫 (API 模式)
│ │ ├── dahuagov_spider.py # 大化县政府网爬虫 (HTML 模式)
│ │ └── parsers.py # 数据解析器
│ ├── services/
│ │ ├── __init__.py
│ │ ├── crawl_service.py # 爬取编排器 (注册/调用所有 Spider)
│ │ ├── pipeline.py # 统一后处理管道 (存储→筛选→推送)
│ │ ├── filter_service.py # 筛选逻辑
│ │ └── notification_service.py # 通知服务
│ ├── wechat/
│ │ ├── __init__.py
│ │ ├── handler.py # 消息处理器
│ │ ├── menu.py # 菜单管理
│ │ ├── crypto.py # WXBizMsgCrypt 加解密
│ │ └── client.py # 企业微信 API 客户端
│ └── scheduler/
│ ├── __init__.py
│ └── jobs.py # APScheduler 定时任务
├── tests/
│ ├── __init__.py
│ ├── conftest.py # pytest fixtures
│ ├── test_crawler/ # 爬虫解析器测试
│ ├── test_api/ # API 端点测试
│ └── test_services/ # 业务逻辑测试
├── alembic/ # 数据库迁移
│ └── versions/
├── docker/
│ ├── Dockerfile
│ └── docker-compose.yml
├── pyproject.toml # 项目元数据 + 依赖 + 工具配置
├── .env.example # 环境变量模板
├── .gitignore
└── logs/ # 日志目录 (gitignore)
```
---
## 3. 爬虫模块化设计
### 3.1 设计动机
系统爬取两个不同来源的公告:广西政府采购网(API 模式,13 种公告类型)和大化县政府网(HTML 解析,单一来源)。两个爬虫的后处理流程不同:
| 对比 | 广西政府采购网 | 大化县政府网 |
|------|---------------|-------------|
| 爬取方式 | POST JSON API | GET HTML + BeautifulSoup |
| 反爬机制 | 敏感词检查 | 无 |
| 分页 | 多页轮询 | 单页 |
| 筛选策略 | 关键词 + 日期 + 去重 | 不过滤 |
| 推送策略 | 只推送关键词匹配的 | 全部推送 |
| 已发送标记 | is_new 标记 | is_new → mark_sent |
为避免两个爬虫各自维护一套存储/筛选/推送逻辑,采用 **Spider 接口 + Pipeline 策略模式** 分离关注点。
### 3.2 架构
```
┌─────────────────────────────────────────────────┐
│ CrawlOrchestrator │
│ (注册所有 Spider,统一调度爬取) │
└─────────────────────┬───────────────────────────┘
┌─────────────┼─────────────┐
│ │ │
┌───────▼──────┐ ┌────▼──────┐ ┌────▼──────────┐
│ GXGPSpider │ │ Dahuagov │ │ (FutureSpider) │
│ (API 模式) │ │ Spider │ │ │
│ 13 sources │ │ (HTML模式) │ │ │
└───────┬──────┘ └────┬──────┘ └────┬───────────┘
│ │ │
└─────────────┼─────────────┘
│ List[Announcement]
┌─────────────────────▼───────────────────────────┐
│ PostCrawlPipeline │
│ │
│ 每个 Spider 声明 PipelineConfig: │
│ - filter_enabled: 是否启用关键词筛选 │
│ - keywords: 筛选关键词列表 │
│ - dedup_enabled: 是否去重 │
│ - notify_mode: "filtered" | "all" │
│ - mark_sent: 推送后是否标记已发送 │
│ │
│ 统一处理流程: │
│ 存储 → 去重 → 筛选(可选) → 推送(可选) → 标记(可选) │
└──────────────────────────────────────────────────┘
```
### 3.3 Spider 基类
```python
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import List
@dataclass
class PipelineConfig:
"""Spider 后处理策略配置"""
filter_enabled: bool = True
keywords: List[str] = None
dedup_enabled: bool = True
notify_mode: str = "filtered" # "filtered" | "all"
mark_sent: bool = False
class BaseSpider(ABC):
"""爬虫基类 — 只负责爬取+解析,不管后续如何处理"""
name: str # spider 名称
source_code: str # 来源代码
source_name: str # 来源名称
@abstractmethod
async def crawl(self) -> CrawlResult:
"""执行爬取,返回包含 Announcement 列表的 CrawlResult"""
...
def get_pipeline_config(self) -> PipelineConfig:
"""返回后处理策略(子类可覆盖)"""
return PipelineConfig()
```
### 3.4 两个 Spider 的 PipelineConfig
```python
# GXGPSpider — 关键词筛选模式
PipelineConfig(
filter_enabled=True,
keywords=["大化"], # 从配置读取
dedup_enabled=True,
notify_mode="filtered", # 只推送匹配关键词的
mark_sent=False, # 用 is_new 标记,不单独 mark_sent
)
# DahuagovSpider — 全量推送模式
PipelineConfig(
filter_enabled=False,
keywords=[],
dedup_enabled=True,
notify_mode="all", # 全部推送
mark_sent=True, # 推送后标记已发送
)
```
### 3.5 统一后处理管道
```python
class PostCrawlPipeline:
"""统一后处理管道 — 所有 Spider 共用"""
async def process(self, announcements: List[Announcement],
config: PipelineConfig) -> PipelineResult:
# 1. 统一存入 announcements 表 (按 source_code 区分)
# 2. 去重 (基于 content_hash)
# 3. 根据 config.filter_enabled 决定是否筛选
# 4. 根据 config.notify_mode 决定推送策略
# - "all": 推送全部新公告
# - "filtered": 只推送匹配关键词的
# 5. 根据 config.mark_sent 标记已发送
# 6. 生成 Markdown (可选)
...
```
### 3.6 优势
- **新增爬虫源**只需实现 `BaseSpider.crawl()` + 声明 `PipelineConfig`,推送/存储逻辑零改动
- **推送逻辑单一入口**,修改一处对所有源生效
- 每个 Spider 文件只关注"怎么爬"和"怎么解析",不再包含存储/筛选/推送代码
- `dahuagov_announcements` 独立表可合并到统一的 `announcements` 表,用 `source_code='dahuagov'` 区分
---
## 4. API 端点设计
### 3.1 公告查询
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` | `/api/v1/announcements` | 查询公告列表(分页、来源筛选、日期筛选、关键词搜索) |
| `GET` | `/api/v1/announcements/{id}` | 获取单条公告详情 |
| `GET` | `/api/v1/announcements/today` | 获取今日公告 |
| `GET` | `/api/v1/announcements/stats` | 获取公告统计信息 |
### 3.2 爬取控制
| 方法 | 路径 | 说明 |
|------|------|------|
| `POST` | `/api/v1/crawl/trigger` | 手动触发一次爬取(支持关键词/来源参数) |
| `GET` | `/api/v1/crawl/status` | 查看最近爬取状态 |
| `GET` | `/api/v1/crawl/sources` | 获取已配置的公告来源列表 |
### 3.3 定时任务
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` | `/api/v1/scheduler/jobs` | 查看活跃的定时任务 |
| `POST` | `/api/v1/scheduler/pause/{job_id}` | 暂停某个定时任务 |
| `POST` | `/api/v1/scheduler/resume/{job_id}` | 恢复某个定时任务 |
### 3.4 企业微信
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` `POST` | `/api/v1/wechat/callback` | 企业微信回调入口(URL验证 + 消息接收) |
### 3.5 系统
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` | `/health` | 健康检查(包含数据库连通性) |
### 3.6 通用特性
- FastAPI 自动生成 Swagger UI (`/docs`) 和 ReDoc (`/redoc`)
- 统一分页格式:`{ total, page, page_size, items }`
- 统一错误响应:`{ detail: "error message" }`
- 依赖注入:数据库 session、配置、调度器均通过 FastAPI `Depends()` 注入
- CORS 默认关闭,通过 `CORS_ORIGINS` 环境变量可选开启
---
## 5. 数据模型
### 5.1 公告表 (announcements)
合并现有的 `announcements``auto_announcements``manual_announcements``dahuagov_announcements` 四张表为一张,通过 `source_code` 字段区分来源,通过 `PipelineConfig` 控制每个来源的推送策略。
| 字段 | 类型 | 说明 |
|------|------|------|
| id | Integer | 主键 |
| title | String(500) | 公告标题 |
| publish_date | DateTime | 发布时间 |
| purchase_name | String(200) | 发布单位 |
| content_url | Text | 内容链接 |
| source_code | String(50) | 来源代码(ZcyAnnouncement1 / dahuagov 等) |
| source_name | String(100) | 来源名称 |
| announcement_type | String(50) | 公告类型枚举值 |
| content_hash | String(64) | SHA256 内容哈希,UNIQUE INDEX |
| crawl_mode | String(20) | "auto" / "manual" |
| is_new | Boolean | 是否新公告 |
| is_sent | Boolean | 是否已推送 |
| keyword_matched | Boolean | 是否匹配关键词 |
| created_at | DateTime | 创建时间 |
| updated_at | DateTime | 更新时间 |
### 5.2 设计决策
- **四表合一**:不再为不同来源或抓取模式创建独立表。`source_code` 区分来源(`ZcyAnnouncement1` ~ `dahuagov`),`crawl_mode` 区分自动/手动
- **is_sent 字段**:替代原来大化县的 `is_new → mark_sent` 模式,同时为广西采购网的公告提供统一的已推送标记
- **keyword_matched 字段**:在筛选阶段标记,持久化到数据库方便后续查询
### 5.3 变更说明
- `content_hash` 从 MD5 (32位) 改为 SHA256 (64位)
- 去掉 `announcement_sources` 表,来源信息从环境变量配置动态读取
- 去掉 `crawl_results` 表,爬取结果通过日志记录
- 使用 Alembic 管理数据库迁移
- 旧数据迁移:通过 Alembic migration 脚本将现有四张表的数据合并到新表
---
## 5. 配置管理
### 5.1 pydantic-settings
所有配置通过 `pydantic-settings``BaseSettings` 加载,来源优先级:环境变量 > `.env` 文件 > 默认值。
### 5.2 环境变量
```bash
# 应用
DEBUG=false
LOG_LEVEL=INFO
# 数据库(连接现有 PostgreSQL
DATABASE_URL=postgresql+asyncpg://gx-gp-notify:password@10.10.10.14:5432/gx-gp-notify
# 爬虫
CRAWLER_BASE_URL=https://zfcg.gxzf.gov.cn
CRAWLER_KEYWORDS=["大化"]
CRAWLER_MAX_PAGES=10
CRAWLER_TIMEOUT=30
# 企业微信
WECHAT_ENABLED=true
WECHAT_CORP_ID=ww69e8e44636f47780
WECHAT_AGENT_ID=1000007
WECHAT_SECRET=<secret>
WECHAT_TOKEN=<token>
WECHAT_ENCODING_AES_KEY=<aes_key>
# 定时任务
SCHEDULER_ENABLED=true
SCHEDULER_CRON=0 8,14,18 * * *
# Markdown 输出
MARKDOWN_OUTPUT_FILE=onu.md
```
### 5.3 安全措施
- `.env` 文件加入 `.gitignore`
- `config.yaml` 中的敏感信息不再提交到仓库
- 使用 SHA256 替代 MD5 做内容哈希
- 建议清理 git 历史中的敏感信息
---
## 6. Docker 部署
### 6.1 架构
```
docker-compose.yml
┌─────────────────────────────┐
│ app (FastAPI) │
│ - uvicorn 服务器 │
│ - APScheduler (内置) │
│ - 端口 8000 │
│ - 挂载: ./logs │
└──────────┬──────────────────┘
│ TCP 连接
┌──────────▼──────────────────┐
│ 外部 PostgreSQL (现有) │
│ 10.10.10.14:5432 │
└─────────────────────────────┘
```
### 6.2 Dockerfile
```dockerfile
FROM python:3.12-slim
WORKDIR /app
COPY pyproject.toml .
RUN pip install --no-cache-dir .
COPY . .
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
```
### 6.3 docker-compose.yml
```yaml
services:
app:
build: .
ports:
- "8000:8000"
env_file:
- .env
volumes:
- ./logs:/app/logs
restart: unless-stopped
```
### 6.4 启动步骤
```bash
cp .env.example .env # 编辑 .env 填入真实配置
docker compose up -d # 启动服务
docker compose logs -f app # 查看日志
```
---
## 7. 技术栈
| 组件 | 当前 | 迁移后 |
|------|------|--------|
| Web 框架 | Flask (仅回调用) | FastAPI |
| CLI | argparse | 不再需要,API 替代 |
| 数据库驱动 | psycopg2 (同步) | asyncpg (异步) + SQLAlchemy 2.0 |
| HTTP 客户端 | requests (同步) | httpx (异步) |
| 定时任务 | schedule 库 | APScheduler |
| 配置 | PyYAML + config.yaml | pydantic-settings + .env |
| 加密 | pycryptodome + cryptography | 保留 |
| 部署 | 裸机 + uWSGI | Docker + uvicorn |
| 代码检查 | 无 | ruff |
| 测试 | 无 | pytest + httpx |
| 迁移 | 手动 CREATE TABLE | Alembic |
---
## 8. 额外改进
### 8.1 异步改造
- 爬虫网络请求:`httpx.AsyncClient` 替代 `requests`
- 数据库:`asyncpg` + SQLAlchemy async engine
- 通知发送:`httpx.AsyncClient`
- API 端点使用 `async def`
### 8.2 自动化测试
- 爬虫解析器单元测试(Mock 网页响应,验证解析逻辑)
- 筛选逻辑单元测试
- API 端点集成测试(用 `httpx.AsyncClient` + 测试数据库)
- pytest + pytest-asyncio + pytest-cov
### 8.3 日志改进
- 结构化日志(JSON 格式)
- Docker 环境下输出到 stdout
- 保留文件日志供宿主机查看(挂载 `./logs` 目录)
### 8.4 错误处理
- 统一异常处理中间件
- 健康检查 `/health` 含数据库连通性验证
- 关键操作结构化日志记录
### 8.5 代码质量
- `ruff` 替代 flake8 + black
- `pyproject.toml` 统一管理依赖和工具配置
- 全面 Type Hints
### 8.6 .gitignore
```gitignore
.env
logs/
*.log
__pycache__/
*.pyc
.venv/
.ruff_cache/
.pytest_cache/
*.egg-info/
```
---
## 9. 迁移策略
### 分步执行
1. 创建新项目结构骨架(FastAPI app + config
2. 数据库模型 + Alembic 迁移
3. 迁移爬虫模块(异步改造)
4. 迁移服务层(筛选、通知、Markdown)
5. 迁移 WeChat 回调(Flask → FastAPI route
6. 添加 APScheduler 定时任务
7. 编写测试
8. Docker 化
9. 清理旧文件
### 向后兼容
- 保留 `dahuagov_announcements` 表结构不变
- 企业微信回调 URL 路径保持不变 (`/api/v1/wechat/callback`)
- 数据库迁移使用 Alembic,不丢失现有数据
---
## 10. 未包含的内容
- 不做多用户认证/授权(个人使用)
- 不做 Celery 分布式任务(个人使用,APScheduler 足够)
- 不做 Redis 缓存
- 不做前端 UI
---
## 11. 风险与缓解
| 风险 | 缓解 |
|------|------|
| 数据库迁移丢失数据 | Alembic 自动生成迁移脚本,先在测试环境验证 |
| 异步爬虫被目标站限流 | 保留现有延迟/重试机制,httpx 支持同样的超时配置 |
| 企业微信回调兼容性 | 回调路径不变,加解密逻辑完全复用现有代码 |
| Docker 网络访问 10.10.10.14 | 确认 Docker 宿主机可访问该 IP,必要时用 `host.docker.internal` |
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@@ -1,281 +0,0 @@
# 广西政府采购网公告监控系统
广西政府采购网公告爬取和监控的智能系统,支持多种公告类型的自动爬取、智能筛选、数据存储和通知推送。
## 功能特性
### 🕷️ 智能爬虫监控
- 自动爬取广西政府采购网(zfcg.gxzf.gov.cn)的各类采购公告
- 支持10+种公告类型:采购公告、结果公告、合同公告、更正公告、招标文件预公示、单一来源公示、电子卖场公示、履约验收公示、工程类公告、框架协议征集公告等
- 智能反爬虫机制:随机User-Agent、代理轮换、请求延迟控制
### 🎯 多维度智能筛选
- **关键词过滤**:支持多关键词精确匹配和模糊匹配
- **日期范围筛选**:支持开始日期和结束日期过滤
- **自动去重**:基于内容哈希的智能去重机制
- **来源筛选**:按公告类型进行筛选
### 💾 数据持久化存储
- **PostgreSQL数据库**:高效的数据存储和查询
- **自动清理**:默认90天数据保留,可配置
- **性能优化**:连接池、索引优化、批量操作
### 🔔 高可用性保障
- **重试机制**:指数退避重试策略
- **超时控制**:连接超时和读取超时设置
- **幂等操作**:防止重复处理
- **异常处理**:完善的异常捕获和恢复
- **结构化日志**:详细的运行日志记录
### 📱 通知系统
- **企业微信通知**:支持文本和Markdown格式消息
- **实时推送**:新公告发现即时通知
- **系统告警**:异常情况自动告警
### 📊 Markdown输出
- **自动生成**:将公告输出为Markdown格式文件(onu.md
- **结构化展示**:按来源分组、时间排序
- **今日高亮**:突出显示今日发布的公告
## 安装和使用
### 环境要求
- Python 3.8+
- PostgreSQL 12+
### 安装步骤
1. **克隆项目**
```bash
cd /path/to/your/workspace
# 项目已创建在 gx_gp_monitor 目录下
```
2. **创建虚拟环境**
```bash
python3 -m venv venv
source venv/bin/activate # Linux/Mac
# 或
venv\Scripts\activate # Windows
```
3. **安装依赖**
```bash
pip install -r requirements.txt
```
4. **配置数据库**
```bash
# 创建PostgreSQL数据库
createdb gx-gp-notify
# 修改配置文件 config/config.yaml 中的数据库连接信息
```
5. **修改配置**
```bash
# 编辑 config/config.yaml 文件
# 设置数据库连接、企业微信配置、关键词等
```
### 使用方法
#### 命令行使用
```bash
# 查看帮助
python main.py --help
# 执行一次爬取
python main.py crawl
# 带参数爬取
python main.py crawl --keywords "大化" "信息化" --max-pages 5
# 启动调度器(定时任务)
python main.py scheduler
# 数据清理
python main.py cleanup --days 30
# 查看系统状态
python main.py status
```
#### 编程接口使用
```python
from gx_gp_monitor.crawler.spider import crawl_announcements
from gx_gp_monitor.filters.filters import filter_from_config
from gx_gp_monitor.storage.postgresql import save_announcements_to_storage
from gx_gp_monitor.storage.md_generator import generate_onu_md
from gx_gp_monitor.notification.wechat import send_announcements_notification
# 执行爬取
results = crawl_announcements()
# 筛选公告
filter_obj = filter_from_config()
filtered_announcements, stats = filter_obj.filter(all_announcements)
# 保存到数据库
saved_count = save_announcements_to_storage(filtered_announcements)
# 生成Markdown文件
generate_onu_md(filtered_announcements)
# 发送通知
send_announcements_notification(filtered_announcements)
```
## 配置说明
### 主要配置文件:`config/config.yaml`
```yaml
# 调试模式
debug: false
# 日志配置
log_level: INFO
log_file: logs/gx_gp_monitor.log
# 爬虫配置
crawler:
base_url: "https://zfcg.gxzf.gov.cn"
timeout: 30
max_retries: 3
keyword: ["大化", "信息化"] # 关键词筛选
max_pages: 10
# 数据库配置
database:
enabled: true
host: "localhost"
port: 5432
name: "gx-gp-notify"
user: "your_user"
password: "your_password"
data_retention_days: 90
# 企业微信配置
wechat_app:
enabled: true
corp_id: "your_corp_id"
agent_id: "your_agent_id"
secret: "your_secret"
token: "your_token"
encoding_aes_key: "your_aes_key"
# 调度配置
scheduler:
enabled: true
jobs:
- name: "daily_crawl"
cron: "0 8,14,18 * * *"
enabled: true
```
### 公告来源配置
系统支持以下公告类型:
- `ZcyAnnouncement1`: 采购公告
- `ZcyAnnouncement2`: 结果公告
- `ZcyAnnouncement3`: 合同公告
- `ZcyAnnouncement4`: 更正公告
- `ZcyAnnouncement5`: 招标文件预公示
- `ZcyAnnouncement6`: 单一来源公示
- `ZcyAnnouncement7`: 电子卖场公示
- `ZcyAnnouncement10`: 履约验收公示
- `ZcyAnnouncement11`: 工程类公告
- `ZcyAnnouncement20`: 框架协议征集公告
- `ZcyAnnouncement21`: 框架协议入围结果公告
- `ZcyAnnouncement23`: 框架协议成交结果汇总公告
- `61-266648`: 采购意向公开
## 架构设计
```
gx_gp_monitor/
├── config/ # 配置管理
├── core/ # 核心模块
│ ├── models.py # 数据模型
│ ├── config_manager.py # 配置管理
│ ├── database.py # 数据库操作
│ ├── logger.py # 日志管理
│ └── reliability.py # 高可用性
├── crawler/ # 爬虫模块
│ ├── spider.py # 爬虫核心
│ └── parsers.py # 数据解析
├── filters/ # 筛选模块
├── storage/ # 存储模块
│ ├── postgresql.py # PostgreSQL存储
│ └── md_generator.py # Markdown生成
├── notification/ # 通知模块
├── scheduler/ # 调度模块
└── main.py # 主程序入口
```
## 日志和监控
### 日志文件
- 默认日志文件:`logs/gx_gp_monitor.log`
- 日志轮转:10MB大小限制,保留5个备份文件
- 日志级别:DEBUG、INFO、WARNING、ERROR、CRITICAL
### 监控指标
- 爬取统计:成功/失败次数、响应时间
- 数据统计:公告数量、新增数量、去重统计
- 系统状态:内存使用、磁盘空间、健康检查
## 故障排除
### 常见问题
1. **数据库连接失败**
- 检查PostgreSQL服务是否运行
- 验证数据库连接配置
- 确认用户权限
2. **爬虫请求失败**
- 检查网络连接
- 验证目标网站是否可访问
- 调整请求间隔和重试策略
3. **企业微信通知失败**
- 检查企业微信配置
- 验证应用ID和密钥
- 确认网络能访问企业微信API
4. **权限问题**
- 确保日志目录和输出文件目录有写入权限
- 检查数据库用户权限
### 调试模式
启用调试模式获取更详细的日志:
```yaml
debug: true
log_level: DEBUG
```
## 许可证
本项目采用 MIT 许可证。
## 贡献
欢迎提交Issue和Pull Request来改进这个项目。
## 版本历史
- **v1.0.0** (2024-01-XX)
- 初始版本发布
- 支持10+种公告类型爬取
- 实现智能筛选和去重
- PostgreSQL数据存储
- 企业微信通知
- Markdown文件输出
- 定时任务调度
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@@ -1,7 +0,0 @@
"""
广西政府采购网公告监控系统
广西政府采购网公告爬取和监控的智能系统
"""
__version__ = "1.0.0"
__author__ = "GX GP Monitor Team"
-11
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@@ -1,11 +0,0 @@
"""
包的main入口,使项目可以直接通过 python -m gx_gp_monitor 运行
"""
try:
from .main import main
except ImportError:
from main import main
if __name__ == "__main__":
main()
Binary file not shown.
Binary file not shown.
Binary file not shown.
-1
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@@ -1 +0,0 @@
"""配置管理模块"""
-135
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@@ -1,135 +0,0 @@
# 广西政府采购网公告监控系统配置文件
# 复制此文件为 config.yaml 并修改相应配置
# 调试模式
debug: false
# 日志配置
log_level: INFO
log_file: logs/gx_gp_monitor.log
log_max_size: 10485760 # 10MB
log_backup_count: 5
# 爬虫配置
crawler:
base_url: "https://zfcg.gxzf.gov.cn"
timeout: 30 # 请求超时时间(秒)
max_retries: 3 # 最大重试次数
retry_delay: 1.0 # 重试初始延迟
max_retry_delay: 60.0 # 重试最大延迟
backoff_factor: 2.0 # 退避因子
user_agents: # User-Agent列表
- "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
- "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Safari/605.1.15"
- "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
proxies: [] # 代理列表
request_delay: 1.0 # 请求间延迟
request_delay_max: 3.0 # 请求间最大延迟
keyword: ["大化", "信息化"] # 关键词筛选(支持多个关键词)
start_date: "" # 开始日期 (YYYY-MM-DD)
end_date: "" # 结束日期 (YYYY-MM-DD)
max_pages: 10 # 最大页数
page_size: 100 # 每页大小
# 数据库配置
database:
enabled: true # 是否启用数据库存储
type: postgresql # 数据库类型
host: "10.10.10.14" # 数据库主机
port: 5432 # 数据库端口
name: "gx-gp-notify" # 数据库名称
user: "gx-gp-notify" # 数据库用户名
password: "MA6RBX4F6Bd5DGmw" # 数据库密码
pool_size: 5 # 连接池大小
max_overflow: 10 # 最大连接数
pool_timeout: 30 # 连接超时时间
pool_recycle: 3600 # 连接回收时间(秒)
data_retention_days: 90 # 数据保留天数
auto_cleanup: true # 是否自动清理过期数据
# 企业微信通知配置
wechat_app:
enabled: true # 是否启用企业微信通知
corp_id: "ww69e8e44636f47780" # 企业ID
agent_id: "1000007" # 应用ID
secret: "SmelCwKFoL0E9ATWFzr-w7gsfXBTN72lT1UqnNd0HpI" # 应用Secret
token: "DmvL98cAF6x9CFtQZwqD2emGL8S7HxA" # Token
encoding_aes_key: "yAc4OoSCP92YTefHXYfw27WeG9oF11W9d6nw6QYlU3D" # 消息加密Key
port: 18001 # 服务端口
host: "0.0.0.0" # 服务主机
debug: false # 调试模式
use_proxy: false # 是否使用代理API
proxy_api_url: "https://api.v6ole.top" # 代理API地址
# Markdown输出配置
markdown:
enabled: true # 是否启用Markdown输出
output_file: "onu.md" # 输出文件路径
max_entries: 1000 # 最大条目数
include_today_highlight: true # 是否突出显示今日公告
template_file: "templates/announcement.md" # 模板文件
# 公告来源配置
sources:
ZcyAnnouncement1:
category_id: 66485
name: "采购公告"
type: "purchase"
ZcyAnnouncement2:
category_id: 66485
name: "结果公告"
type: "result"
ZcyAnnouncement3:
category_id: 66485
name: "合同公告"
type: "contract"
ZcyAnnouncement4:
category_id: 66485
name: "更正公告"
type: "correction"
ZcyAnnouncement5:
category_id: 66485
name: "招标文件预公示"
type: "pre_announcement"
ZcyAnnouncement6:
category_id: 66485
name: "单一来源公示"
type: "single_source"
ZcyAnnouncement7:
category_id: 66485
name: "电子卖场公示"
type: "electronic_market"
ZcyAnnouncement10:
category_id: 66485
name: "履约验收公示"
type: "acceptance"
ZcyAnnouncement11:
category_id: 66485
name: "工程类公告"
type: "engineering"
ZcyAnnouncement20:
category_id: 66485
name: "框架协议征集公告"
type: "framework_agreement"
ZcyAnnouncement21:
category_id: 66485
name: "框架协议入围结果公告"
type: "framework_result"
ZcyAnnouncement23:
category_id: 66485
name: "框架协议成交结果汇总公告"
type: "framework_summary"
"61-266648":
category_id: 66485
name: "采购意向公开"
type: "intention"
# 调度配置已移除 - 如需定时任务功能,请重新添加
# 监控配置
monitoring:
enabled: true # 是否启用监控
health_check_interval: 300 # 健康检查间隔(秒)
alert_on_failure: true # 失败时是否告警
max_consecutive_failures: 3 # 最大连续失败次数
metrics_enabled: true # 是否启用指标收集
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"""核心模块"""
-394
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"""
配置管理模块
负责加载、验证和管理系统配置
"""
import os
import yaml
from typing import Dict, Any, Optional
from pathlib import Path
from dataclasses import dataclass
from enum import Enum
class LogLevel(Enum):
"""日志级别枚举"""
DEBUG = "DEBUG"
INFO = "INFO"
WARNING = "WARNING"
ERROR = "ERROR"
CRITICAL = "CRITICAL"
@dataclass
class CrawlerConfig:
"""爬虫配置"""
base_url: str
timeout: int
max_retries: int
retry_delay: float
max_retry_delay: float
backoff_factor: float
user_agents: list
proxies: list
request_delay: float
request_delay_max: float
keyword: list
start_date: str
end_date: str
max_pages: int
page_size: int
@dataclass
class DatabaseConfig:
"""数据库配置"""
enabled: bool
type: str
host: str
port: int
name: str
user: str
password: str
pool_size: int
max_overflow: int
pool_timeout: int
pool_recycle: int
data_retention_days: int
auto_cleanup: bool
@dataclass
class WeChatConfig:
"""企业微信配置"""
enabled: bool
corp_id: str
agent_id: str
secret: str
token: str
encoding_aes_key: str
port: int
host: str
debug: bool
use_proxy: bool
proxy_api_url: str
@dataclass
class MarkdownConfig:
"""Markdown配置"""
enabled: bool
output_file: str
max_entries: int
include_today_highlight: bool
template_file: str
@dataclass
class SchedulerConfig:
"""调度配置"""
enabled: bool
timezone: str
jobs: list
@dataclass
class MonitoringConfig:
"""监控配置"""
enabled: bool
health_check_interval: int
alert_on_failure: bool
max_consecutive_failures: int
metrics_enabled: bool
@dataclass
class SystemConfig:
"""系统配置"""
debug: bool
log_level: LogLevel
log_file: str
log_max_size: int
log_backup_count: int
crawler: CrawlerConfig
database: DatabaseConfig
wechat_app: WeChatConfig
markdown: MarkdownConfig
scheduler: Optional[SchedulerConfig]
monitoring: MonitoringConfig
sources: Dict[str, Dict[str, Any]]
class ConfigManager:
"""配置管理器"""
def __init__(self, config_file: Optional[str] = None):
"""
初始化配置管理器
Args:
config_file: 配置文件路径,如果为None则使用默认路径
"""
if config_file is None:
# 默认配置文件路径
current_dir = Path(__file__).parent.parent
self.config_file = current_dir / "config" / "config.yaml"
else:
self.config_file = Path(config_file)
self._config_data = {}
self._config = None
def load_config(self) -> SystemConfig:
"""
加载配置文件
Returns:
SystemConfig: 系统配置对象
Raises:
FileNotFoundError: 配置文件不存在
yaml.YAMLError: 配置文件格式错误
ValueError: 配置验证失败
"""
if not self.config_file.exists():
raise FileNotFoundError(f"配置文件不存在: {self.config_file}")
try:
with open(self.config_file, 'r', encoding='utf-8') as f:
self._config_data = yaml.safe_load(f)
except yaml.YAMLError as e:
raise yaml.YAMLError(f"配置文件格式错误: {e}")
# 验证配置
self._validate_config()
# 解析配置
self._config = self._parse_config()
return self._config
def _validate_config(self):
"""验证配置完整性"""
required_keys = [
'debug', 'log_level', 'log_file', 'log_max_size', 'log_backup_count',
'crawler', 'database', 'wechat_app', 'markdown',
'monitoring', 'sources'
]
for key in required_keys:
if key not in self._config_data:
raise ValueError(f"配置文件缺少必需的配置项: {key}")
# 验证爬虫配置
crawler_required = [
'base_url', 'timeout', 'max_retries', 'retry_delay', 'max_retry_delay',
'backoff_factor', 'user_agents', 'proxies', 'request_delay',
'request_delay_max', 'keyword', 'max_pages', 'page_size'
]
for key in crawler_required:
if key not in self._config_data['crawler']:
raise ValueError(f"爬虫配置缺少必需项: {key}")
# 验证数据库配置
if self._config_data.get('database', {}).get('enabled', False):
db_required = ['type', 'host', 'port', 'name', 'user', 'password']
for key in db_required:
if key not in self._config_data['database']:
raise ValueError(f"数据库配置缺少必需项: {key}")
# 验证企业微信配置
if self._config_data.get('wechat_app', {}).get('enabled', False):
wechat_required = ['corp_id', 'agent_id', 'secret', 'token', 'encoding_aes_key']
for key in wechat_required:
if key not in self._config_data['wechat_app']:
raise ValueError(f"企业微信配置缺少必需项: {key}")
def _parse_config(self) -> SystemConfig:
"""解析配置数据"""
crawler_data = self._config_data['crawler']
crawler = CrawlerConfig(
base_url=crawler_data['base_url'],
timeout=crawler_data['timeout'],
max_retries=crawler_data['max_retries'],
retry_delay=crawler_data['retry_delay'],
max_retry_delay=crawler_data['max_retry_delay'],
backoff_factor=crawler_data['backoff_factor'],
user_agents=crawler_data['user_agents'],
proxies=crawler_data['proxies'],
request_delay=crawler_data['request_delay'],
request_delay_max=crawler_data['request_delay_max'],
keyword=crawler_data['keyword'],
start_date=crawler_data.get('start_date', ''),
end_date=crawler_data.get('end_date', ''),
max_pages=crawler_data['max_pages'],
page_size=crawler_data['page_size']
)
db_data = self._config_data['database']
database = DatabaseConfig(
enabled=db_data.get('enabled', False),
type=db_data.get('type', 'postgresql'),
host=db_data.get('host', 'localhost'),
port=db_data.get('port', 5432),
name=db_data.get('name', ''),
user=db_data.get('user', ''),
password=db_data.get('password', ''),
pool_size=db_data.get('pool_size', 5),
max_overflow=db_data.get('max_overflow', 10),
pool_timeout=db_data.get('pool_timeout', 30),
pool_recycle=db_data.get('pool_recycle', 3600),
data_retention_days=db_data.get('data_retention_days', 90),
auto_cleanup=db_data.get('auto_cleanup', True)
)
wechat_data = self._config_data['wechat_app']
wechat_app = WeChatConfig(
enabled=wechat_data.get('enabled', False),
corp_id=wechat_data.get('corp_id', ''),
agent_id=wechat_data.get('agent_id', ''),
secret=wechat_data.get('secret', ''),
token=wechat_data.get('token', ''),
encoding_aes_key=wechat_data.get('encoding_aes_key', ''),
port=wechat_data.get('port', 18001),
host=wechat_data.get('host', '0.0.0.0'),
debug=wechat_data.get('debug', False),
use_proxy=wechat_data.get('use_proxy', False),
proxy_api_url=wechat_data.get('proxy_api_url', 'https://api.v6ole.top')
)
md_data = self._config_data['markdown']
markdown = MarkdownConfig(
enabled=md_data.get('enabled', True),
output_file=md_data.get('output_file', 'onu.md'),
max_entries=md_data.get('max_entries', 1000),
include_today_highlight=md_data.get('include_today_highlight', True),
template_file=md_data.get('template_file', 'templates/announcement.md')
)
# scheduler配置为可选
scheduler = None
if 'scheduler' in self._config_data:
scheduler_data = self._config_data['scheduler']
scheduler = SchedulerConfig(
enabled=scheduler_data.get('enabled', False),
timezone=scheduler_data.get('timezone', 'Asia/Shanghai'),
jobs=scheduler_data.get('jobs', [])
)
monitoring_data = self._config_data['monitoring']
monitoring = MonitoringConfig(
enabled=monitoring_data.get('enabled', True),
health_check_interval=monitoring_data.get('health_check_interval', 300),
alert_on_failure=monitoring_data.get('alert_on_failure', True),
max_consecutive_failures=monitoring_data.get('max_consecutive_failures', 3),
metrics_enabled=monitoring_data.get('metrics_enabled', True)
)
return SystemConfig(
debug=self._config_data['debug'],
log_level=LogLevel(self._config_data['log_level']),
log_file=self._config_data['log_file'],
log_max_size=self._config_data['log_max_size'],
log_backup_count=self._config_data['log_backup_count'],
crawler=crawler,
database=database,
wechat_app=wechat_app,
markdown=markdown,
scheduler=scheduler,
monitoring=monitoring,
sources=self._config_data['sources']
)
def get_config(self) -> SystemConfig:
"""
获取配置对象
Returns:
SystemConfig: 系统配置对象
Raises:
RuntimeError: 配置未加载
"""
if self._config is None:
raise RuntimeError("配置未加载,请先调用 load_config()")
return self._config
def reload_config(self) -> SystemConfig:
"""
重新加载配置
Returns:
SystemConfig: 重新加载的系统配置对象
"""
self._config = None
return self.load_config()
def get_value(self, key_path: str, default=None) -> Any:
"""
通过路径获取配置值
Args:
key_path: 配置路径,如 'crawler.timeout''database.host'
default: 默认值
Returns:
配置值或默认值
"""
keys = key_path.split('.')
value = self._config_data
try:
for key in keys:
value = value[key]
return value
except (KeyError, TypeError):
return default
# 全局配置管理器实例
_config_manager = None
def get_config_manager(config_file: Optional[str] = None) -> ConfigManager:
"""
获取全局配置管理器实例
Args:
config_file: 配置文件路径
Returns:
ConfigManager: 配置管理器实例
"""
global _config_manager
if _config_manager is None:
_config_manager = ConfigManager(config_file)
return _config_manager
def load_config(config_file: Optional[str] = None) -> SystemConfig:
"""
加载系统配置
Args:
config_file: 配置文件路径
Returns:
SystemConfig: 系统配置对象
"""
manager = get_config_manager(config_file)
return manager.load_config()
def get_config() -> SystemConfig:
"""
获取当前加载的配置
Returns:
SystemConfig: 系统配置对象
Raises:
RuntimeError: 配置未加载
"""
manager = get_config_manager()
return manager.get_config()
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"""
PostgreSQL数据库连接和操作模块
提供数据库连接池、CRUD操作、数据清理等功能
"""
import psycopg2
from psycopg2 import pool, extras
from psycopg2.extras import RealDictCursor
from contextlib import contextmanager
from typing import List, Dict, Any, Optional, Generator
from datetime import datetime, timedelta
import threading
from dataclasses import asdict
from .models import Announcement, AnnouncementSource, AnnouncementType, CrawlResult, CrawlStatus
from .config_manager import get_config
from .logger import get_logger
from .reliability import retry_on_exception, RetryConfig
logger = get_logger(__name__)
class DatabaseConnectionPool:
"""数据库连接池管理器"""
_instance = None
_pool = None
_lock = threading.Lock()
def __new__(cls):
if cls._instance is None:
with cls._lock:
if cls._instance is None:
cls._instance = super().__new__(cls)
return cls._instance
def __init__(self):
if self._pool is None:
self._pool = None
self._config = None
def init_pool(self, config):
"""
初始化连接池
Args:
config: 数据库配置
"""
if self._pool is not None:
return
try:
self._config = config
self._pool = psycopg2.pool.SimpleConnectionPool(
minconn=config.pool_size,
maxconn=config.pool_size + config.max_overflow,
host=config.host,
port=config.port,
database=config.name,
user=config.user,
password=config.password,
connect_timeout=config.pool_timeout
)
logger.info("数据库连接池初始化成功")
except Exception as e:
logger.error(f"数据库连接池初始化失败: {str(e)}")
raise
def get_connection(self):
"""
获取数据库连接
Returns:
数据库连接对象
Raises:
Exception: 获取连接失败
"""
if self._pool is None:
raise Exception("数据库连接池未初始化")
try:
conn = self._pool.getconn()
# 设置自动提交为False,需要手动提交
conn.autocommit = False
return conn
except Exception as e:
logger.error(f"获取数据库连接失败: {str(e)}")
raise
def return_connection(self, conn):
"""
返回数据库连接到连接池
Args:
conn: 数据库连接对象
"""
if self._pool and conn:
try:
self._pool.putconn(conn)
except Exception as e:
logger.warning(f"返回数据库连接失败: {str(e)}")
def close_all(self):
"""关闭所有连接"""
if self._pool:
try:
self._pool.closeall()
logger.info("数据库连接池已关闭")
except Exception as e:
logger.error(f"关闭数据库连接池失败: {str(e)}")
# 全局连接池实例
_connection_pool = DatabaseConnectionPool()
@contextmanager
def get_db_connection():
"""
获取数据库连接的上下文管理器
Yields:
数据库连接对象
"""
conn = None
try:
conn = _connection_pool.get_connection()
yield conn
except Exception as e:
logger.error(f"数据库连接错误: {str(e)}")
raise
finally:
if conn:
_connection_pool.return_connection(conn)
@contextmanager
def get_db_cursor(commit: bool = True):
"""
获取数据库游标的上下文管理器
Args:
commit: 是否自动提交事务
Yields:
数据库游标对象
"""
with get_db_connection() as conn:
cursor = None
try:
cursor = conn.cursor(cursor_factory=RealDictCursor)
yield cursor
if commit:
conn.commit()
except Exception as e:
conn.rollback()
logger.error(f"数据库操作错误: {str(e)}")
raise
finally:
if cursor:
cursor.close()
class DatabaseManager:
"""数据库管理器"""
def __init__(self):
self.config = get_config()
if self.config.database.enabled:
_connection_pool.init_pool(self.config.database)
else:
logger.warning("数据库功能已禁用")
def init_database(self):
"""初始化数据库表结构"""
if not self.config.database.enabled:
return
logger.info("开始初始化数据库表结构")
# 创建表的SQL语句
create_tables_sql = """
-- 公告表
CREATE TABLE IF NOT EXISTS announcements (
id SERIAL PRIMARY KEY,
title VARCHAR(500) NOT NULL,
publish_date TIMESTAMP NOT NULL,
purchase_name VARCHAR(200),
content_url TEXT,
source_code VARCHAR(50) NOT NULL,
source_name VARCHAR(100) NOT NULL,
announcement_type VARCHAR(50) NOT NULL,
crawled_at TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
content_hash VARCHAR(32) UNIQUE,
keyword_matched BOOLEAN DEFAULT FALSE,
date_filtered BOOLEAN DEFAULT TRUE,
is_new BOOLEAN DEFAULT TRUE,
is_today BOOLEAN DEFAULT FALSE
);
-- 公告来源表
CREATE TABLE IF NOT EXISTS announcement_sources (
code VARCHAR(50) PRIMARY KEY,
category_id INTEGER NOT NULL,
name VARCHAR(100) NOT NULL,
type VARCHAR(50) NOT NULL
);
-- 爬取结果表
CREATE TABLE IF NOT EXISTS crawl_results (
id SERIAL PRIMARY KEY,
source_code VARCHAR(50) NOT NULL,
status VARCHAR(20) NOT NULL,
total_count INTEGER DEFAULT 0,
new_count INTEGER DEFAULT 0,
error_message TEXT,
crawled_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
duration FLOAT DEFAULT 0.0,
FOREIGN KEY (source_code) REFERENCES announcement_sources(code)
);
-- 创建索引
CREATE INDEX IF NOT EXISTS idx_announcements_publish_date ON announcements(publish_date DESC);
CREATE INDEX IF NOT EXISTS idx_announcements_source_code ON announcements(source_code);
CREATE INDEX IF NOT EXISTS idx_announcements_content_hash ON announcements(content_hash);
CREATE INDEX IF NOT EXISTS idx_announcements_created_at ON announcements(created_at DESC);
CREATE INDEX IF NOT EXISTS idx_crawl_results_crawled_at ON crawl_results(crawled_at DESC);
-- 创建更新时间触发器
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = CURRENT_TIMESTAMP;
RETURN NEW;
END;
$$ language 'plpgsql';
DROP TRIGGER IF EXISTS update_announcements_updated_at ON announcements;
CREATE TRIGGER update_announcements_updated_at
BEFORE UPDATE ON announcements
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
"""
with get_db_cursor() as cursor:
cursor.execute(create_tables_sql)
logger.info("数据库表结构初始化完成")
@retry_on_exception(RetryConfig(max_retries=3))
def save_announcement(self, announcement: Announcement) -> bool:
"""
保存公告到数据库
Args:
announcement: 公告对象
Returns:
bool: 保存是否成功
"""
if not self.config.database.enabled:
return False
# 生成内容哈希(如果还没有)
if not announcement.content_hash:
announcement.generate_content_hash()
sql = """
INSERT INTO announcements (
title, publish_date, purchase_name, content_url, source_code, source_name,
announcement_type, crawled_at, content_hash, keyword_matched,
date_filtered, is_new, is_today
) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (content_hash) DO NOTHING
"""
values = (
announcement.title,
announcement.publish_date,
announcement.purchase_name,
announcement.content_url,
announcement.source_code,
announcement.source_name,
announcement.announcement_type.value,
announcement.crawled_at,
announcement.content_hash,
announcement.keyword_matched,
announcement.date_filtered,
announcement.is_new,
announcement.is_today
)
try:
with get_db_cursor() as cursor:
cursor.execute(sql, values)
affected_rows = cursor.rowcount
if affected_rows > 0:
logger.debug(f"成功保存公告: {announcement.title[:50]}...")
return True
else:
logger.debug(f"公告已存在,跳过保存: {announcement.title[:50]}...")
return False
except Exception as e:
logger.error(f"保存公告失败: {str(e)}")
return False
@retry_on_exception(RetryConfig(max_retries=3))
def save_announcements_batch(self, announcements: List[Announcement]) -> int:
"""
批量保存公告
Args:
announcements: 公告列表
Returns:
int: 成功保存的数量
"""
if not self.config.database.enabled:
return 0
if not announcements:
return 0
# 为没有哈希的公告生成哈希
for announcement in announcements:
if not announcement.content_hash:
announcement.generate_content_hash()
sql = """
INSERT INTO announcements (
title, publish_date, purchase_name, content_url, source_code, source_name,
announcement_type, crawled_at, content_hash, keyword_matched,
date_filtered, is_new, is_today
) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (content_hash) DO NOTHING
"""
values = []
for announcement in announcements:
values.append((
announcement.title,
announcement.publish_date,
announcement.purchase_name,
announcement.content_url,
announcement.source_code,
announcement.source_name,
announcement.announcement_type.value,
announcement.crawled_at,
announcement.content_hash,
announcement.keyword_matched,
announcement.date_filtered,
announcement.is_new,
announcement.is_today
))
try:
with get_db_cursor() as cursor:
extras.execute_batch(cursor, sql, values)
affected_rows = cursor.rowcount
logger.info(f"批量保存公告完成,成功保存 {affected_rows}")
return affected_rows
except Exception as e:
logger.error(f"批量保存公告失败: {str(e)}")
return 0
@retry_on_exception(RetryConfig(max_retries=3))
def get_announcements(self,
source_code: Optional[str] = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
limit: int = 100,
offset: int = 0) -> List[Announcement]:
"""
查询公告
Args:
source_code: 来源代码过滤
start_date: 开始日期
end_date: 结束日期
limit: 限制数量
offset: 偏移量
Returns:
List[Announcement]: 公告列表
"""
if not self.config.database.enabled:
return []
sql = """
SELECT * FROM announcements
WHERE 1=1
"""
params = []
if source_code:
sql += " AND source_code = %s"
params.append(source_code)
if start_date:
sql += " AND publish_date >= %s"
params.append(start_date)
if end_date:
sql += " AND publish_date <= %s"
params.append(end_date)
sql += " ORDER BY publish_date DESC LIMIT %s OFFSET %s"
params.extend([limit, offset])
try:
with get_db_cursor() as cursor:
cursor.execute(sql, params)
rows = cursor.fetchall()
announcements = []
for row in rows:
# 转换数据类型
row_dict = dict(row)
row_dict['announcement_type'] = AnnouncementType(row_dict['announcement_type'])
announcements.append(Announcement.from_dict(row_dict))
return announcements
except Exception as e:
logger.error(f"查询公告失败: {str(e)}")
return []
@retry_on_exception(RetryConfig(max_retries=3))
def save_crawl_result(self, result: CrawlResult) -> bool:
"""
保存爬取结果
Args:
result: 爬取结果对象
Returns:
bool: 保存是否成功
"""
if not self.config.database.enabled:
return False
sql = """
INSERT INTO crawl_results (
source_code, status, total_count, new_count, error_message,
crawled_at, duration
) VALUES (%s, %s, %s, %s, %s, %s, %s)
"""
values = (
result.source.code,
result.status.value,
result.total_count,
result.new_count,
result.error_message,
result.crawled_at,
result.duration
)
try:
with get_db_cursor() as cursor:
cursor.execute(sql, values)
logger.debug(f"保存爬取结果: {result.source.name}")
return True
except Exception as e:
logger.error(f"保存爬取结果失败: {str(e)}")
return False
@retry_on_exception(RetryConfig(max_retries=3))
def cleanup_expired_data(self, days: int = 90) -> int:
"""
清理过期数据
Args:
days: 保留天数
Returns:
int: 清理的记录数
"""
if not self.config.database.enabled:
return 0
cutoff_date = datetime.now() - timedelta(days=days)
sql = "DELETE FROM announcements WHERE created_at < %s"
try:
with get_db_cursor() as cursor:
cursor.execute(sql, (cutoff_date,))
deleted_count = cursor.rowcount
logger.info(f"清理过期数据完成,删除 {deleted_count} 条记录")
return deleted_count
except Exception as e:
logger.error(f"清理过期数据失败: {str(e)}")
return 0
@retry_on_exception(RetryConfig(max_retries=3))
def get_statistics(self) -> Dict[str, Any]:
"""
获取统计信息
Returns:
Dict[str, Any]: 统计数据
"""
if not self.config.database.enabled:
return {}
sql = """
SELECT
COUNT(*) as total_announcements,
COUNT(CASE WHEN is_today THEN 1 END) as today_announcements,
COUNT(CASE WHEN is_new THEN 1 END) as new_announcements,
COUNT(DISTINCT source_code) as sources_count,
MAX(crawled_at) as last_crawl_time
FROM announcements
"""
try:
with get_db_cursor() as cursor:
cursor.execute(sql)
result = cursor.fetchone()
return dict(result) if result else {}
except Exception as e:
logger.error(f"获取统计信息失败: {str(e)}")
return {}
def is_announcement_exists(self, content_hash: str) -> bool:
"""
检查公告是否已存在
Args:
content_hash: 内容哈希
Returns:
bool: 是否存在
"""
if not self.config.database.enabled:
return False
sql = "SELECT 1 FROM announcements WHERE content_hash = %s LIMIT 1"
try:
with get_db_cursor() as cursor:
cursor.execute(sql, (content_hash,))
return cursor.fetchone() is not None
except Exception as e:
logger.error(f"检查公告存在性失败: {str(e)}")
return False
def get_recent_announcements(self, hours: int = 24) -> List[Announcement]:
"""
获取最近的公告
Args:
hours: 最近小时数
Returns:
List[Announcement]: 公告列表
"""
if not self.config.database.enabled:
return []
cutoff_time = datetime.now() - timedelta(hours=hours)
sql = """
SELECT * FROM announcements
WHERE crawled_at >= %s
ORDER BY crawled_at DESC
"""
try:
with get_db_cursor() as cursor:
cursor.execute(sql, (cutoff_time,))
rows = cursor.fetchall()
announcements = []
for row in rows:
row_dict = dict(row)
row_dict['announcement_type'] = AnnouncementType(row_dict['announcement_type'])
announcements.append(Announcement.from_dict(row_dict))
return announcements
except Exception as e:
logger.error(f"获取最近公告失败: {str(e)}")
return []
# 全局数据库管理器实例
_db_manager = None
def get_database_manager() -> DatabaseManager:
"""
获取数据库管理器实例
Returns:
DatabaseManager: 数据库管理器实例
"""
global _db_manager
if _db_manager is None:
_db_manager = DatabaseManager()
return _db_manager
def init_database():
"""初始化数据库"""
manager = get_database_manager()
manager.init_database()
def cleanup_database():
"""清理数据库连接"""
_connection_pool.close_all()
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"""
统一日志管理模块
提供结构化日志记录功能,支持控制台和文件输出
"""
import os
import sys
import logging
import logging.handlers
from pathlib import Path
from typing import Optional, Dict, Any
from datetime import datetime
from .config_manager import get_config
class ColoredFormatter(logging.Formatter):
"""带颜色的日志格式化器"""
# ANSI颜色代码
COLORS = {
'DEBUG': '\033[36m', # 青色
'INFO': '\033[32m', # 绿色
'WARNING': '\033[33m', # 黄色
'ERROR': '\033[31m', # 红色
'CRITICAL': '\033[35m', # 紫色
}
RESET = '\033[0m' # 重置颜色
def format(self, record):
# 检查是否已经包含ANSI颜色代码
if '\033[' in record.levelname:
# 如果已经着色,直接返回原始格式
return super().format(record)
# 添加颜色
if record.levelname in self.COLORS:
# 为levelname添加颜色
colored_levelname = f"{self.COLORS[record.levelname]}{record.levelname}{self.RESET}"
# 使用原始levelname来确定消息的颜色
record.msg = f"{self.COLORS[record.levelname]}{record.msg}{self.RESET}"
record.levelname = colored_levelname
return super().format(record)
class Logger:
"""统一日志管理器"""
_instance = None
_initialized = False
def __new__(cls):
if cls._instance is None:
cls._instance = super().__new__(cls)
return cls._instance
def __init__(self):
if not self._initialized:
self._loggers = {}
self._config = None
self._initialized = True
def init_logger(self, name: str = "gx_gp_monitor", config=None) -> logging.Logger:
"""
初始化日志器
Args:
name: 日志器名称
config: 配置对象,如果为None则从全局配置加载
Returns:
logging.Logger: 配置好的日志器实例
"""
if name in self._loggers:
return self._loggers[name]
# 获取配置
if config is None:
try:
self._config = get_config()
except RuntimeError:
# 配置未加载,使用默认配置
self._config = self._get_default_config()
else:
self._config = config
# 创建日志器
logger = logging.getLogger(name)
logger.setLevel(getattr(logging, self._config.log_level.value))
# 避免重复添加处理器
if logger.handlers:
return logger
# 创建格式化器
formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
# 控制台处理器
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setLevel(getattr(logging, self._config.log_level.value))
# 使用彩色格式化器(如果支持)
if sys.platform != 'win32' and 'TERM' in os.environ:
colored_formatter = ColoredFormatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
console_handler.setFormatter(colored_formatter)
else:
console_handler.setFormatter(formatter)
logger.addHandler(console_handler)
# 文件处理器(如果配置了日志文件)
if self._config.log_file:
log_dir = Path(self._config.log_file).parent
log_dir.mkdir(parents=True, exist_ok=True)
file_handler = logging.handlers.RotatingFileHandler(
self._config.log_file,
maxBytes=self._config.log_max_size,
backupCount=self._config.log_backup_count,
encoding='utf-8'
)
file_handler.setLevel(getattr(logging, self._config.log_level.value))
file_handler.setFormatter(formatter)
logger.addHandler(file_handler)
self._loggers[name] = logger
return logger
def _get_default_config(self):
"""获取默认配置"""
from .config_manager import LogLevel
class DefaultConfig:
def __init__(self):
self.log_level = LogLevel.INFO
self.log_file = "logs/gx_gp_monitor.log"
self.log_max_size = 10485760 # 10MB
self.log_backup_count = 5
return DefaultConfig()
def get_logger(self, name: str = "gx_gp_monitor") -> logging.Logger:
"""
获取日志器
Args:
name: 日志器名称
Returns:
logging.Logger: 日志器实例
"""
if name not in self._loggers:
return self.init_logger(name)
return self._loggers[name]
def log_crawl_start(self, source_name: str, logger: Optional[logging.Logger] = None):
"""记录爬取开始"""
if logger is None:
logger = self.get_logger()
logger.info(f"开始爬取 {source_name}")
def log_crawl_success(self, source_name: str, count: int, duration: float,
logger: Optional[logging.Logger] = None):
"""记录爬取成功"""
if logger is None:
logger = self.get_logger()
logger.info(f"{source_name} 爬取完成,共获取 {count} 条公告,耗时 {duration:.2f}")
def log_crawl_error(self, source_name: str, error: str,
logger: Optional[logging.Logger] = None):
"""记录爬取错误"""
if logger is None:
logger = self.get_logger()
logger.error(f"{source_name} 爬取失败: {error}")
def log_announcement_filtered(self, reason: str, count: int,
logger: Optional[logging.Logger] = None):
"""记录公告筛选信息"""
if logger is None:
logger = self.get_logger()
logger.info(f"公告筛选 - {reason}: {count}")
def log_database_operation(self, operation: str, table: str, count: int = 0,
logger: Optional[logging.Logger] = None):
"""记录数据库操作"""
if logger is None:
logger = self.get_logger()
if count > 0:
logger.info(f"数据库操作 - {operation} {table}: {count} 条记录")
else:
logger.info(f"数据库操作 - {operation} {table}")
def log_notification_sent(self, channel: str, recipient_count: int,
logger: Optional[logging.Logger] = None):
"""记录通知发送"""
if logger is None:
logger = self.get_logger()
logger.info(f"通知发送 - {channel}: 向 {recipient_count} 个接收者发送")
def log_system_metrics(self, metrics: Dict[str, Any],
logger: Optional[logging.Logger] = None):
"""记录系统指标"""
if logger is None:
logger = self.get_logger()
metrics_str = ", ".join([f"{k}={v}" for k, v in metrics.items()])
logger.info(f"系统指标: {metrics_str}")
def log_performance_warning(self, operation: str, duration: float, threshold: float,
logger: Optional[logging.Logger] = None):
"""记录性能警告"""
if logger is None:
logger = self.get_logger()
logger.warning(f"性能警告 - {operation} 耗时 {duration:.2f}秒,超过阈值 {threshold:.2f}")
# 全局日志管理器实例
_logger_manager = Logger()
def get_logger(name: str = "gx_gp_monitor") -> logging.Logger:
"""
获取日志器
Args:
name: 日志器名称
Returns:
logging.Logger: 日志器实例
"""
return _logger_manager.get_logger(name)
def init_logger(name: str = "gx_gp_monitor", config=None) -> logging.Logger:
"""
初始化并获取日志器
Args:
name: 日志器名称
config: 配置对象
Returns:
logging.Logger: 日志器实例
"""
return _logger_manager.init_logger(name, config)
def log_function_call(func_name: str, args: Optional[Dict[str, Any]] = None,
logger: Optional[logging.Logger] = None):
"""
装饰器:记录函数调用
Args:
func_name: 函数名称
args: 函数参数
logger: 日志器实例
"""
def decorator(func):
def wrapper(*args, **kwargs):
nonlocal logger
if logger is None:
logger = get_logger()
start_time = datetime.now()
logger.debug(f"调用函数: {func_name}")
try:
result = func(*args, **kwargs)
duration = (datetime.now() - start_time).total_seconds()
logger.debug(f"函数 {func_name} 执行完成,耗时 {duration:.3f}")
return result
except Exception as e:
duration = (datetime.now() - start_time).total_seconds()
logger.error(f"函数 {func_name} 执行失败,耗时 {duration:.3f}秒: {str(e)}")
raise
return wrapper
return decorator
# 便捷函数
def log_info(message: str, logger: Optional[logging.Logger] = None):
"""记录信息日志"""
if logger is None:
logger = get_logger()
logger.info(message)
def log_warning(message: str, logger: Optional[logging.Logger] = None):
"""记录警告日志"""
if logger is None:
logger = get_logger()
logger.warning(message)
def log_error(message: str, logger: Optional[logging.Logger] = None):
"""记录错误日志"""
if logger is None:
logger = get_logger()
logger.error(message)
def log_debug(message: str, logger: Optional[logging.Logger] = None):
"""记录调试日志"""
if logger is None:
logger = get_logger()
logger.debug(message)
# 便捷的爬取日志记录函数
def log_crawl_start(source_name: str):
"""记录爬取开始"""
_logger_manager.log_crawl_start(source_name)
def log_crawl_success(source_name: str, count: int, duration: float):
"""记录爬取成功"""
_logger_manager.log_crawl_success(source_name, count, duration)
def log_crawl_error(source_name: str, error: str):
"""记录爬取错误"""
_logger_manager.log_crawl_error(source_name, error)
def log_announcement_filtered(reason: str, count: int):
"""记录公告筛选信息"""
_logger_manager.log_announcement_filtered(reason, count)
def log_database_operation(operation: str, table: str, count: int = 0):
"""记录数据库操作"""
_logger_manager.log_database_operation(operation, table, count)
def log_notification_sent(channel: str, recipient_count: int):
"""记录通知发送"""
_logger_manager.log_notification_sent(channel, recipient_count)
def log_system_metrics(metrics: Dict[str, Any]):
"""记录系统指标"""
_logger_manager.log_system_metrics(metrics)
def log_performance_warning(operation: str, duration: float, threshold: float):
"""记录性能警告"""
_logger_manager.log_performance_warning(operation, duration, threshold)
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"""
数据模型定义
定义系统使用的数据结构和模型
"""
from dataclasses import dataclass, field
from datetime import datetime
from typing import Optional, List, Dict, Any
from enum import Enum
class AnnouncementType(Enum):
"""公告类型枚举"""
PURCHASE = "purchase" # 采购公告
RESULT = "result" # 结果公告
CONTRACT = "contract" # 合同公告
CORRECTION = "correction" # 更正公告
PRE_ANNOUNCEMENT = "pre_announcement" # 招标文件预公示
SINGLE_SOURCE = "single_source" # 单一来源公示
ELECTRONIC_MARKET = "electronic_market" # 电子卖场公示
ACCEPTANCE = "acceptance" # 履约验收公示
ENGINEERING = "engineering" # 工程类公告
FRAMEWORK_AGREEMENT = "framework_agreement" # 框架协议征集公告
FRAMEWORK_RESULT = "framework_result" # 框架协议入围结果公告
FRAMEWORK_SUMMARY = "framework_summary" # 框架协议成交结果汇总公告
INTENTION = "intention" # 采购意向公开
class CrawlStatus(Enum):
"""爬取状态枚举"""
PENDING = "pending" # 待爬取
RUNNING = "running" # 爬取中
SUCCESS = "success" # 成功
FAILED = "failed" # 失败
PARTIAL = "partial" # 部分成功
@dataclass
class AnnouncementSource:
"""公告来源"""
code: str # 来源代码,如 "ZcyAnnouncement1"
category_id: int # 分类ID
name: str # 显示名称,如 "采购公告"
type: AnnouncementType # 公告类型
@dataclass
class Announcement:
"""公告数据模型"""
id: Optional[int] = None # 数据库ID
title: str = "" # 公告标题
publish_date: datetime = field(default_factory=datetime.now) # 发布时间
purchase_name: str = "" # 发布单位
content_url: str = "" # 内容链接
source_code: str = "" # 来源代码
source_name: str = "" # 来源名称
announcement_type: AnnouncementType = AnnouncementType.PURCHASE # 公告类型
# 爬取相关字段
crawled_at: Optional[datetime] = None # 爬取时间
created_at: Optional[datetime] = None # 创建时间
updated_at: Optional[datetime] = None # 更新时间
# 去重字段
content_hash: Optional[str] = None # 内容哈希,用于去重
# 筛选相关
keyword_matched: bool = False # 是否匹配关键词
date_filtered: bool = True # 是否在日期范围内
# 业务字段
is_new: bool = True # 是否为新公告
is_today: bool = False # 是否为今日公告
def __post_init__(self):
"""后初始化处理"""
if isinstance(self.announcement_type, str):
self.announcement_type = AnnouncementType(self.announcement_type)
if self.publish_date and isinstance(self.publish_date, str):
try:
self.publish_date = datetime.fromisoformat(self.publish_date.replace('Z', '+00:00'))
except ValueError:
# 如果解析失败,使用当前时间
self.publish_date = datetime.now()
# 判断是否为今日公告
today = datetime.now().date()
if self.publish_date:
self.is_today = self.publish_date.date() == today
@property
def publish_date_str(self) -> str:
"""获取发布日期字符串"""
return self.publish_date.strftime("%Y-%m-%d") if self.publish_date else ""
@property
def crawled_at_str(self) -> str:
"""获取爬取时间字符串"""
return self.crawled_at.strftime("%Y-%m-%d %H:%M:%S") if self.crawled_at else ""
def to_dict(self) -> Dict[str, Any]:
"""转换为字典"""
return {
"id": self.id,
"title": self.title,
"publish_date": self.publish_date.isoformat() if self.publish_date else None,
"purchase_name": self.purchase_name,
"content_url": self.content_url,
"source_code": self.source_code,
"source_name": self.source_name,
"announcement_type": self.announcement_type.value,
"crawled_at": self.crawled_at.isoformat() if self.crawled_at else None,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None,
"content_hash": self.content_hash,
"keyword_matched": self.keyword_matched,
"date_filtered": self.date_filtered,
"is_new": self.is_new,
"is_today": self.is_today
}
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'Announcement':
"""从字典创建实例"""
# 处理枚举类型
if 'announcement_type' in data and isinstance(data['announcement_type'], str):
data['announcement_type'] = AnnouncementType(data['announcement_type'])
# 处理日期时间
for date_field in ['publish_date', 'crawled_at', 'created_at', 'updated_at']:
if date_field in data and data[date_field] and isinstance(data[date_field], str):
try:
data[date_field] = datetime.fromisoformat(data[date_field].replace('Z', '+00:00'))
except ValueError:
data[date_field] = None
return cls(**data)
def generate_content_hash(self) -> str:
"""生成内容哈希用于去重"""
import hashlib
content = f"{self.title}|{self.publish_date_str}|{self.purchase_name}|{self.content_url}|{self.source_code}"
self.content_hash = hashlib.md5(content.encode('utf-8')).hexdigest()
return self.content_hash
def matches_keywords(self, keywords: List[str]) -> bool:
"""检查是否匹配关键词"""
if not keywords:
return True
search_text = f"{self.title} {self.purchase_name}".lower()
for keyword in keywords:
if keyword.lower() in search_text:
self.keyword_matched = True
return True
self.keyword_matched = False
return False
def in_date_range(self, start_date: Optional[str], end_date: Optional[str]) -> bool:
"""检查是否在日期范围内"""
if not self.publish_date:
self.date_filtered = False
return False
publish_date = self.publish_date.date()
try:
if start_date:
start = datetime.fromisoformat(start_date).date()
if publish_date < start:
self.date_filtered = False
return False
if end_date:
end = datetime.fromisoformat(end_date).date()
if publish_date > end:
self.date_filtered = False
return False
self.date_filtered = True
return True
except ValueError:
# 日期格式错误时,默认通过
self.date_filtered = True
return True
@dataclass
class CrawlResult:
"""爬取结果"""
source: AnnouncementSource # 公告来源
status: CrawlStatus # 爬取状态
total_count: int = 0 # 总公告数
new_count: int = 0 # 新增公告数
error_message: Optional[str] = None # 错误信息
announcements: List[Announcement] = field(default_factory=list) # 公告列表
crawled_at: datetime = field(default_factory=datetime.now) # 爬取时间
duration: float = 0.0 # 爬取耗时(秒)
@dataclass
class CrawlSession:
"""爬取会话"""
session_id: str # 会话ID
start_time: datetime # 开始时间
end_time: Optional[datetime] = None # 结束时间
status: CrawlStatus = CrawlStatus.PENDING # 会话状态
total_sources: int = 0 # 总来源数
completed_sources: int = 0 # 已完成来源数
total_announcements: int = 0 # 总公告数
new_announcements: int = 0 # 新增公告数
results: List[CrawlResult] = field(default_factory=list) # 各来源结果
@property
def duration(self) -> float:
"""获取会话持续时间"""
if self.end_time and self.start_time:
return (self.end_time - self.start_time).total_seconds()
elif self.start_time:
return (datetime.now() - self.start_time).total_seconds()
return 0.0
@property
def progress(self) -> float:
"""获取完成进度(0-1"""
if self.total_sources == 0:
return 0.0
return self.completed_sources / self.total_sources
@dataclass
class NotificationMessage:
"""通知消息"""
title: str # 消息标题
content: str # 消息内容
message_type: str = "text" # 消息类型:text, markdown, card
recipients: List[str] = field(default_factory=lambda: ["@all"]) # 接收者列表
attachments: Optional[Dict[str, Any]] = None # 附件信息
created_at: datetime = field(default_factory=datetime.now) # 创建时间
@dataclass
class SystemMetrics:
"""系统指标"""
timestamp: datetime = field(default_factory=datetime.now) # 时间戳
total_announcements: int = 0 # 总公告数
today_announcements: int = 0 # 今日公告数
new_announcements_today: int = 0 # 今日新增公告数
crawl_sessions_today: int = 0 # 今日爬取会话数
last_crawl_duration: float = 0.0 # 最后一次爬取耗时
database_size: int = 0 # 数据库大小(字节)
memory_usage: float = 0.0 # 内存使用率
disk_usage: float = 0.0 # 磁盘使用率
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"""
高可用性模块
提供重试机制、超时控制、幂等操作、异常处理和恢复功能
"""
import time
import random
import hashlib
from contextlib import contextmanager
from functools import wraps
from typing import Callable, Any, Optional, Type, Union, List
from datetime import datetime, timedelta
import threading
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from .logger import get_logger
from .config_manager import get_config
logger = get_logger(__name__)
class RetryConfig:
"""重试配置"""
def __init__(self,
max_retries: int = 3,
initial_delay: float = 1.0,
max_delay: float = 60.0,
backoff_factor: float = 2.0,
jitter: bool = True):
"""
初始化重试配置
Args:
max_retries: 最大重试次数
initial_delay: 初始延迟时间(秒)
max_delay: 最大延迟时间(秒)
backoff_factor: 退避因子
jitter: 是否添加随机抖动
"""
self.max_retries = max_retries
self.initial_delay = initial_delay
self.max_delay = max_delay
self.backoff_factor = backoff_factor
self.jitter = jitter
class TimeoutConfig:
"""超时配置"""
def __init__(self,
connect_timeout: float = 10.0,
read_timeout: float = 30.0,
total_timeout: Optional[float] = None):
"""
初始化超时配置
Args:
connect_timeout: 连接超时时间(秒)
read_timeout: 读取超时时间(秒)
total_timeout: 总超时时间(秒)
"""
self.connect_timeout = connect_timeout
self.read_timeout = read_timeout
self.total_timeout = total_timeout or (connect_timeout + read_timeout)
class CircuitBreakerState:
"""熔断器状态"""
CLOSED = "closed" # 关闭状态,正常工作
OPEN = "open" # 打开状态,快速失败
HALF_OPEN = "half_open" # 半开状态,测试恢复
class CircuitBreaker:
"""熔断器实现"""
def __init__(self,
failure_threshold: int = 5,
recovery_timeout: int = 60,
expected_exception: Type[Exception] = Exception):
"""
初始化熔断器
Args:
failure_threshold: 失败阈值
recovery_timeout: 恢复超时时间(秒)
expected_exception: 期望的异常类型
"""
self.failure_threshold = failure_threshold
self.recovery_timeout = recovery_timeout
self.expected_exception = expected_exception
self.state = CircuitBreakerState.CLOSED
self.failure_count = 0
self.last_failure_time = None
self._lock = threading.Lock()
def __call__(self, func: Callable) -> Callable:
"""装饰器实现"""
@wraps(func)
def wrapper(*args, **kwargs):
return self._execute_with_circuit_breaker(func, *args, **kwargs)
return wrapper
def _execute_with_circuit_breaker(self, func: Callable, *args, **kwargs) -> Any:
"""使用熔断器执行函数"""
if self.state == CircuitBreakerState.OPEN:
if self._should_attempt_reset():
self.state = CircuitBreakerState.HALF_OPEN
logger.info("熔断器半开,尝试恢复")
else:
raise CircuitBreakerOpenException("熔断器已打开")
try:
result = func(*args, **kwargs)
self._on_success()
return result
except self.expected_exception as e:
self._on_failure()
raise
def _should_attempt_reset(self) -> bool:
"""检查是否应该尝试重置"""
if self.last_failure_time is None:
return True
return (datetime.now() - self.last_failure_time).total_seconds() >= self.recovery_timeout
def _on_success(self):
"""成功时的处理"""
with self._lock:
if self.state == CircuitBreakerState.HALF_OPEN:
self.state = CircuitBreakerState.CLOSED
self.failure_count = 0
logger.info("熔断器关闭,服务恢复正常")
def _on_failure(self):
"""失败时的处理"""
with self._lock:
self.failure_count += 1
self.last_failure_time = datetime.now()
if self.failure_count >= self.failure_threshold:
self.state = CircuitBreakerState.OPEN
logger.warning(f"熔断器打开,失败次数达到阈值: {self.failure_count}")
class CircuitBreakerOpenException(Exception):
"""熔断器打开异常"""
pass
class IdempotencyKey:
"""幂等性键生成器"""
@staticmethod
def generate(*args, **kwargs) -> str:
"""
生成幂等性键
Args:
*args: 位置参数
**kwargs: 关键字参数
Returns:
str: 幂等性键
"""
# 将参数转换为字符串并排序
key_parts = []
# 处理位置参数
for i, arg in enumerate(args):
key_parts.append(f"arg_{i}:{str(arg)}")
# 处理关键字参数(排序以保证一致性)
for key in sorted(kwargs.keys()):
key_parts.append(f"{key}:{str(kwargs[key])}")
# 生成哈希
key_string = "|".join(key_parts)
return hashlib.md5(key_string.encode('utf-8')).hexdigest()
class IdempotencyManager:
"""幂等性管理器"""
def __init__(self):
self._executed_keys = set()
self._lock = threading.Lock()
def is_executed(self, key: str) -> bool:
"""
检查操作是否已执行
Args:
key: 幂等性键
Returns:
bool: 是否已执行
"""
with self._lock:
return key in self._executed_keys
def mark_executed(self, key: str):
"""
标记操作已执行
Args:
key: 幂等性键
"""
with self._lock:
self._executed_keys.add(key)
def clear_expired_keys(self, max_age_seconds: int = 3600):
"""
清理过期的键(简化实现,实际应该使用时间戳)
Args:
max_age_seconds: 最大年龄(秒)
"""
# 这里简化实现,实际项目中应该记录时间戳
pass
def retry_on_exception(retry_config: Optional[RetryConfig] = None,
exceptions: tuple = (Exception,),
logger: Optional[Any] = None) -> Callable:
"""
重试装饰器
Args:
retry_config: 重试配置
exceptions: 需要重试的异常类型
logger: 日志器
Returns:
Callable: 装饰器函数
"""
if retry_config is None:
retry_config = RetryConfig()
if logger is None:
logger = get_logger()
def decorator(func: Callable) -> Callable:
@wraps(func)
def wrapper(*args, **kwargs):
last_exception = None
for attempt in range(retry_config.max_retries + 1):
try:
return func(*args, **kwargs)
except exceptions as e:
last_exception = e
if attempt < retry_config.max_retries:
# 计算延迟时间
delay = min(
retry_config.initial_delay * (retry_config.backoff_factor ** attempt),
retry_config.max_delay
)
# 添加随机抖动
if retry_config.jitter:
delay = delay * (0.5 + random.random() * 0.5)
logger.warning(
f"函数 {func.__name__} 执行失败 (尝试 {attempt + 1}/{retry_config.max_retries + 1}): {str(e)}"
f"等待 {delay:.2f} 秒后重试"
)
time.sleep(delay)
else:
logger.error(
f"函数 {func.__name__}{retry_config.max_retries + 1} 次尝试后仍然失败: {str(e)}"
)
raise last_exception
return wrapper
return decorator
def timeout_wrapper(timeout_config: Optional[TimeoutConfig] = None) -> Callable:
"""
超时装饰器
Args:
timeout_config: 超时配置
Returns:
Callable: 装饰器函数
"""
if timeout_config is None:
timeout_config = TimeoutConfig()
def decorator(func: Callable) -> Callable:
@wraps(func)
def wrapper(*args, **kwargs):
import signal
def timeout_handler(signum, frame):
raise TimeoutError(f"函数 {func.__name__} 执行超时")
# 设置信号处理器
old_handler = signal.signal(signal.SIGALRM, timeout_handler)
signal.alarm(int(timeout_config.total_timeout))
try:
result = func(*args, **kwargs)
signal.alarm(0) # 取消闹钟
return result
finally:
signal.signal(signal.SIGALRM, old_handler)
return wrapper
return decorator
@contextmanager
def session_with_retry(timeout_config: Optional[TimeoutConfig] = None,
retry_config: Optional[RetryConfig] = None):
"""
创建带有重试机制的HTTP会话
Args:
timeout_config: 超时配置
retry_config: 重试配置
Yields:
requests.Session: 配置好的会话对象
"""
if timeout_config is None:
timeout_config = TimeoutConfig()
if retry_config is None:
retry_config = RetryConfig()
session = requests.Session()
# 配置重试策略
retry_strategy = Retry(
total=retry_config.max_retries,
backoff_factor=retry_config.backoff_factor,
status_forcelist=[429, 500, 502, 503, 504],
)
adapter = HTTPAdapter(max_retries=retry_strategy)
session.mount("http://", adapter)
session.mount("https://", adapter)
# 设置默认超时
session.timeout = (timeout_config.connect_timeout, timeout_config.read_timeout)
try:
yield session
finally:
session.close()
def safe_execute(func: Callable,
fallback: Optional[Callable] = None,
exceptions: tuple = (Exception,),
logger: Optional[Any] = None) -> Any:
"""
安全执行函数,提供降级处理
Args:
func: 要执行的函数
fallback: 降级函数
exceptions: 需要捕获的异常类型
logger: 日志器
Returns:
Any: 函数执行结果或降级结果
"""
if logger is None:
logger = get_logger()
try:
return func()
except exceptions as e:
logger.error(f"函数执行失败: {str(e)}")
if fallback:
try:
logger.info("执行降级函数")
return fallback()
except Exception as fallback_e:
logger.error(f"降级函数也执行失败: {str(fallback_e)}")
return None
class HealthChecker:
"""健康检查器"""
def __init__(self, check_interval: int = 300):
"""
初始化健康检查器
Args:
check_interval: 检查间隔(秒)
"""
self.check_interval = check_interval
self.last_check = None
self.is_healthy = True
self.consecutive_failures = 0
self.max_consecutive_failures = 3
def check_health(self) -> bool:
"""
执行健康检查
Returns:
bool: 健康状态
"""
current_time = datetime.now()
# 检查是否需要执行检查
if (self.last_check and
(current_time - self.last_check).total_seconds() < self.check_interval):
return self.is_healthy
self.last_check = current_time
try:
# 执行健康检查逻辑
self._perform_health_check()
self.is_healthy = True
self.consecutive_failures = 0
logger.info("健康检查通过")
return True
except Exception as e:
self.consecutive_failures += 1
logger.warning(f"健康检查失败 ({self.consecutive_failures}/{self.max_consecutive_failures}): {str(e)}")
if self.consecutive_failures >= self.max_consecutive_failures:
self.is_healthy = False
logger.error("连续健康检查失败,系统标记为不健康")
return False
def _perform_health_check(self):
"""执行具体的健康检查逻辑"""
# 这里可以添加数据库连接检查、外部服务检查等
config = get_config()
# 检查数据库连接(如果启用)
if config.database.enabled:
# 这里应该检查数据库连接
pass
# 检查网络连接
try:
requests.get("https://www.baidu.com", timeout=5)
except:
raise Exception("网络连接检查失败")
# 全局实例
_circuit_breaker = CircuitBreaker()
_idempotency_manager = IdempotencyManager()
_health_checker = HealthChecker()
def get_circuit_breaker() -> CircuitBreaker:
"""获取全局熔断器实例"""
return _circuit_breaker
def get_idempotency_manager() -> IdempotencyManager:
"""获取全局幂等性管理器实例"""
return _idempotency_manager
def get_health_checker() -> HealthChecker:
"""获取全局健康检查器实例"""
return _health_checker
def check_system_health() -> bool:
"""
检查系统健康状态
Returns:
bool: 系统是否健康
"""
return _health_checker.check_health()
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"""爬虫模块"""
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"""
数据解析器模块
负责解析广西政府采购网的API响应数据
"""
import json
from typing import List, Dict, Any, Optional
from datetime import datetime
try:
from ..core.models import Announcement, AnnouncementSource, AnnouncementType
from ..core.logger import get_logger
except ImportError:
from core.models import Announcement, AnnouncementSource, AnnouncementType
from core.logger import get_logger
logger = get_logger(__name__)
class AnnouncementParser:
"""公告数据解析器"""
@staticmethod
def parse_api_response(response_data: Dict[str, Any],
source: AnnouncementSource,
crawled_at: datetime) -> List[Announcement]:
"""
解析API响应数据
Args:
response_data: API响应数据
source: 公告来源
crawled_at: 爬取时间
Returns:
List[Announcement]: 解析后的公告列表
"""
if not response_data or not isinstance(response_data, dict):
logger.warning("API响应数据无效")
return []
try:
# 检查响应状态
if not response_data.get("success", False):
logger.warning(f"API响应失败: {response_data.get('message', '未知错误')}")
return []
# 获取数据部分
result = response_data.get("result", {})
data = result.get("data", {})
records = data.get("data", [])
if not records:
logger.info(f"来源 {source.name} 没有新数据")
return []
announcements = []
for record in records:
try:
announcement = AnnouncementParser._parse_single_record(
record, source, crawled_at)
if announcement:
announcements.append(announcement)
except Exception as e:
logger.warning(f"解析公告记录失败: {str(e)}, 记录: {record}")
continue
logger.info(f"成功解析 {len(announcements)}/{len(records)} 条公告记录")
return announcements
except Exception as e:
logger.error(f"解析API响应数据失败: {str(e)}")
return []
@staticmethod
def _parse_single_record(record: Dict[str, Any],
source: AnnouncementSource,
crawled_at: datetime) -> Optional[Announcement]:
"""
解析单个公告记录
Args:
record: 公告记录数据
source: 公告来源
crawled_at: 爬取时间
Returns:
Optional[Announcement]: 解析后的公告对象
"""
try:
# 提取基本字段
title_raw = record.get("title", "")
title = str(title_raw).strip() if title_raw is not None else ""
if not title:
return None
# 解析发布时间
publish_timestamp = record.get("publishDate")
if not publish_timestamp:
logger.warning(f"公告缺少发布时间: {title[:50]}...")
return None
try:
# 时间戳转换为datetime
publish_date = datetime.fromtimestamp(int(publish_timestamp) / 1000)
except (ValueError, TypeError) as e:
logger.warning(f"发布时间格式错误: {publish_timestamp}, 错误: {str(e)}")
return None
# 提取其他字段
purchase_name_raw = record.get("purchaseName", "")
purchase_name = str(purchase_name_raw).strip() if purchase_name_raw is not None else ""
article_id = record.get("articleId")
if not article_id:
logger.warning(f"公告缺少文章ID: {title[:50]}...")
return None
# 构建内容链接
content_url = AnnouncementParser._build_content_url(
source.category_id, source.code, article_id)
# 创建公告对象
announcement = Announcement(
title=title,
publish_date=publish_date,
purchase_name=purchase_name,
content_url=content_url,
source_code=source.code,
source_name=source.name,
announcement_type=source.type,
crawled_at=crawled_at,
is_new=True # 默认标记为新公告
)
# 生成内容哈希用于去重
announcement.generate_content_hash()
return announcement
except Exception as e:
logger.error(f"解析单个公告记录失败: {str(e)}")
return None
@staticmethod
def _build_content_url(category_id: int, source_code: str, article_id: int) -> str:
"""
构建公告内容链接
Args:
category_id: 分类ID
source_code: 来源代码
article_id: 文章ID
Returns:
str: 内容链接
"""
return f"https://zfcg.gxzf.gov.cn/site/detail?parentId={category_id}&articleId={article_id}"
@staticmethod
def validate_response_structure(response_data: Dict[str, Any]) -> bool:
"""
验证API响应数据结构
Args:
response_data: API响应数据
Returns:
bool: 结构是否有效
"""
try:
if not isinstance(response_data, dict):
return False
# 检查必需的字段
if "success" not in response_data:
return False
if not response_data.get("success", False):
return False
result = response_data.get("result", {})
if not isinstance(result, dict):
return False
data = result.get("data", {})
if not isinstance(data, dict):
return False
records = data.get("data", [])
if not isinstance(records, list):
return False
return True
except Exception as e:
logger.warning(f"验证响应结构失败: {str(e)}")
return False
@staticmethod
def extract_pagination_info(response_data: Dict[str, Any]) -> Dict[str, Any]:
"""
提取分页信息
Args:
response_data: API响应数据
Returns:
Dict[str, Any]: 分页信息
"""
try:
result = response_data.get("result", {})
data = result.get("data", {})
return {
"total": data.get("total", 0),
"page_no": data.get("pageNo", 1),
"page_size": data.get("pageSize", 15),
"pages": data.get("pages", 0),
"empty": data.get("empty", True),
"has_next": data.get("hasNext", False),
"has_previous": data.get("hasPrevious", False)
}
except Exception as e:
logger.warning(f"提取分页信息失败: {str(e)}")
return {
"total": 0,
"page_no": 1,
"page_size": 15,
"pages": 0,
"empty": True,
"has_next": False,
"has_previous": False
}
class SensitiveWordChecker:
"""敏感词检查器"""
@staticmethod
def parse_check_response(response_data: Dict[str, Any]) -> bool:
"""
解析敏感词检查响应
Args:
response_data: 检查响应数据
Returns:
bool: 检查是否通过
"""
try:
if not isinstance(response_data, dict):
logger.warning("敏感词检查响应格式无效")
return False
success = response_data.get("success", False)
if not success:
message = response_data.get("message", "未知错误")
logger.warning(f"敏感词检查失败: {message}")
return False
return True
except Exception as e:
logger.error(f"解析敏感词检查响应失败: {str(e)}")
return False
class ErrorResponseParser:
"""错误响应解析器"""
@staticmethod
def parse_error(response_data: Dict[str, Any]) -> str:
"""
解析错误响应
Args:
response_data: 错误响应数据
Returns:
str: 错误信息
"""
try:
if not isinstance(response_data, dict):
return "响应格式无效"
# 尝试提取错误信息
error_msg = response_data.get("message") or response_data.get("msg")
if error_msg:
return str(error_msg)
# 检查状态码
errcode = response_data.get("errcode")
if errcode:
return f"错误码: {errcode}"
return "未知错误"
except Exception as e:
return f"解析错误响应失败: {str(e)}"
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"""
爬虫核心模块
实现广西政府采购网公告的智能爬取功能
"""
import time
import random
import json
from typing import List, Dict, Any, Optional, Tuple
from datetime import datetime
from urllib.parse import urljoin
import requests
from fake_useragent import UserAgent
try:
# 尝试相对导入
from ..core.models import Announcement, AnnouncementSource, AnnouncementType, CrawlResult, CrawlStatus
from ..core.config_manager import get_config
from ..core.logger import get_logger, log_crawl_start, log_crawl_success, log_crawl_error
from ..core.reliability import (
retry_on_exception, RetryConfig, session_with_retry,
TimeoutConfig, safe_execute, check_system_health
)
from .parsers import AnnouncementParser, SensitiveWordChecker, ErrorResponseParser
except ImportError:
# 尝试绝对导入
from core.models import Announcement, AnnouncementSource, AnnouncementType, CrawlResult, CrawlStatus
from core.config_manager import get_config
from core.logger import get_logger, log_crawl_start, log_crawl_success, log_crawl_error
from core.reliability import (
retry_on_exception, RetryConfig, session_with_retry,
TimeoutConfig, safe_execute, check_system_health
)
from crawler.parsers import AnnouncementParser, SensitiveWordChecker, ErrorResponseParser
logger = get_logger(__name__)
class GXGPSpider:
"""广西政府采购网爬虫"""
def __init__(self):
self.config = get_config()
self.ua = UserAgent()
# API端点
self.base_url = self.config.crawler.base_url
self.announcement_api = urljoin(self.base_url, "/portal/category")
self.sensitive_check_api = urljoin(self.base_url, "/portal/sensitiveWords/check")
# 会话管理
self.session = None
# 统计信息
self.request_count = 0
self.error_count = 0
def init_session(self):
"""初始化会话"""
if self.session is None:
timeout_config = TimeoutConfig(
connect_timeout=self.config.crawler.timeout,
read_timeout=self.config.crawler.timeout
)
retry_config = RetryConfig(
max_retries=self.config.crawler.max_retries,
initial_delay=self.config.crawler.retry_delay,
max_delay=self.config.crawler.max_retry_delay,
backoff_factor=self.config.crawler.backoff_factor
)
self.session = requests.Session()
# 配置重试和超时
adapter = requests.adapters.HTTPAdapter(
pool_connections=10,
pool_maxsize=20,
max_retries=0 # 我们使用自己的重试逻辑
)
self.session.mount('http://', adapter)
self.session.mount('https://', adapter)
# 设置默认超时
self.session.timeout = (timeout_config.connect_timeout, timeout_config.read_timeout)
return self.session
def close_session(self):
"""关闭会话"""
if self.session:
self.session.close()
self.session = None
def get_random_user_agent(self) -> str:
"""获取随机User-Agent"""
try:
return self.ua.random
except:
# fallback到配置的user agents
return random.choice(self.config.crawler.user_agents)
def get_random_proxy(self) -> Optional[Dict[str, str]]:
"""获取随机代理"""
if not self.config.crawler.proxies:
return None
proxy = random.choice(self.config.crawler.proxies)
return {
"http": proxy,
"https": proxy
}
def check_sensitive_words(self, payload: Dict[str, Any],
category_code: str, childrencode: str) -> bool:
"""
执行敏感词检查
Args:
payload: 请求参数
category_code: 分类代码
childrencode: 子分类代码
Returns:
bool: 检查是否通过
"""
try:
session = self.init_session()
user_agent = self.get_random_user_agent()
headers = {
"User-Agent": user_agent,
"Content-Type": "application/json;charset=UTF-8",
"Origin": self.base_url,
"Referer": f"{self.base_url}/site/category?parentId={category_code}&childrenCode={childrencode}",
"Cookie": "_zcy_log_client_uuid=71e283e0-23d2-11f0-844a-eb67dfa7ab64"
}
proxies = self.get_random_proxy()
logger.debug(f"执行敏感词检查: {category_code}/{childrencode}")
response = session.post(
self.sensitive_check_api,
json=payload,
headers=headers,
proxies=proxies,
timeout=self.session.timeout
)
self.request_count += 1
if response.status_code == 200:
result = response.json()
return SensitiveWordChecker.parse_check_response(result)
else:
logger.warning(f"敏感词检查请求失败, 状态码: {response.status_code}")
return False
except Exception as e:
logger.error(f"敏感词检查异常: {str(e)}")
self.error_count += 1
return False
def fetch_announcements_page(self, source: AnnouncementSource,
page_no: int = 1) -> Tuple[Optional[Dict[str, Any]], Optional[str]]:
"""
获取公告列表页数据
Args:
source: 公告来源
page_no: 页码
Returns:
Tuple[Optional[Dict[str, Any]], Optional[str]]: (响应数据, 错误信息)
"""
try:
session = self.init_session()
# 构建请求参数
payload = {
"keyword": "", # 关键词筛选,我们在筛选模块处理
"publishDateBegin": self.config.crawler.start_date or "",
"publishDateEnd": self.config.crawler.end_date or "",
"pageNo": page_no,
"pageSize": self.config.crawler.page_size,
"categoryCode": source.code,
"_t": int(time.time() * 1000)
}
# 先执行敏感词检查
if not self.check_sensitive_words(payload, str(source.category_id), source.code):
return None, "敏感词检查失败"
# 执行公告数据请求
user_agent = self.get_random_user_agent()
headers = {
"User-Agent": user_agent,
"Content-Type": "application/json;charset=UTF-8",
"Origin": self.base_url,
"Referer": f"{self.base_url}/site/category?parentId={source.category_id}&childrenCode={source.code}",
"Cookie": "_zcy_log_client_uuid=71e283e0-23d2-11f0-844a-eb67dfa7ab64"
}
proxies = self.get_random_proxy()
logger.debug(f"请求公告数据: {source.name}{page_no}")
# 添加请求间延迟
if page_no > 1:
delay = random.uniform(
self.config.crawler.request_delay,
self.config.crawler.request_delay_max
)
time.sleep(delay)
response = session.post(
self.announcement_api,
json=payload,
headers=headers,
proxies=proxies,
timeout=self.session.timeout
)
self.request_count += 1
if response.status_code == 200:
data = response.json()
if data.get("success", False):
return data, None
else:
error_msg = ErrorResponseParser.parse_error(data)
return None, f"API返回失败: {error_msg}"
else:
return None, f"请求失败, 状态码: {response.status_code}"
except requests.exceptions.Timeout as e:
self.error_count += 1
return None, f"请求超时: {str(e)}"
except requests.exceptions.ProxyError as e:
self.error_count += 1
return None, f"代理错误: {str(e)}"
except Exception as e:
self.error_count += 1
logger.error(f"获取公告数据异常: {str(e)}")
return None, f"请求异常: {str(e)}"
def crawl_source(self, source: AnnouncementSource,
max_pages: Optional[int] = None) -> CrawlResult:
"""
爬取单个来源的公告
Args:
source: 公告来源
max_pages: 最大页数限制
Returns:
CrawlResult: 爬取结果
"""
if max_pages is None:
max_pages = self.config.crawler.max_pages
log_crawl_start(source.name)
start_time = datetime.now()
result = CrawlResult(
source=source,
status=CrawlStatus.RUNNING,
crawled_at=start_time
)
try:
page = 1
all_announcements = []
while page <= max_pages:
# 获取页面数据
response_data, error_msg = self.fetch_announcements_page(source, page)
if error_msg:
logger.warning(f"{source.name}{page}页获取失败: {error_msg}")
result.status = CrawlStatus.FAILED
result.error_message = error_msg
break
if not response_data:
logger.info(f"{source.name}{page}页无数据")
break
# 解析分页信息
pagination = AnnouncementParser.extract_pagination_info(response_data)
result.total_count = pagination["total"]
# 解析公告数据
announcements = AnnouncementParser.parse_api_response(
response_data, source, start_time)
if not announcements:
logger.info(f"{source.name}{page}页解析到0条公告")
break
all_announcements.extend(announcements)
# 检查是否还有下一页
if not pagination["has_next"] or pagination["empty"]:
break
page += 1
# 更新结果
result.announcements = all_announcements
result.new_count = len(all_announcements) # 这里的新增数需要在筛选后确定
if result.status != CrawlStatus.FAILED:
result.status = CrawlStatus.SUCCESS
duration = (datetime.now() - start_time).total_seconds()
result.duration = duration
log_crawl_success(source.name, len(all_announcements), duration)
except Exception as e:
duration = (datetime.now() - start_time).total_seconds()
result.duration = duration
result.status = CrawlStatus.FAILED
result.error_message = str(e)
log_crawl_error(source.name, str(e))
return result
@retry_on_exception(RetryConfig(max_retries=2))
def crawl_all_sources(self, sources: Optional[List[AnnouncementSource]] = None) -> List[CrawlResult]:
"""
爬取所有来源的公告
Args:
sources: 指定的来源列表,如果为None则使用配置中的所有来源
Returns:
List[CrawlResult]: 所有来源的爬取结果
"""
# 系统健康检查
if not check_system_health():
logger.error("系统健康检查失败,跳过爬取")
return []
if sources is None:
sources = self._load_sources_from_config()
logger.info(f"开始爬取 {len(sources)} 个公告来源")
results = []
for source in sources:
try:
result = self.crawl_source(source)
results.append(result)
# 检查是否需要暂停
if result.status == CrawlStatus.FAILED:
logger.warning(f"来源 {source.name} 爬取失败,继续下一个来源")
continue
except Exception as e:
logger.error(f"爬取来源 {source.name} 时发生未预期错误: {str(e)}")
# 创建失败结果
failed_result = CrawlResult(
source=source,
status=CrawlStatus.FAILED,
error_message=str(e),
crawled_at=datetime.now()
)
results.append(failed_result)
# 统计总结果
total_announcements = sum(len(r.announcements) for r in results if r.status == CrawlStatus.SUCCESS)
success_count = sum(1 for r in results if r.status == CrawlStatus.SUCCESS)
failed_count = len(results) - success_count
logger.info(
f"爬取完成: 共处理 {len(results)} 个来源,"
f"成功 {success_count} 个,失败 {failed_count} 个,"
f"获取 {total_announcements} 条公告"
)
return results
def _load_sources_from_config(self) -> List[AnnouncementSource]:
"""从配置加载公告来源"""
sources = []
for code, source_config in self.config.sources.items():
try:
source = AnnouncementSource(
code=code,
category_id=source_config["category_id"],
name=source_config["name"],
type=AnnouncementType(source_config["type"])
)
sources.append(source)
except Exception as e:
logger.warning(f"加载来源配置失败 {code}: {str(e)}")
continue
return sources
def get_stats(self) -> Dict[str, Any]:
"""获取爬虫统计信息"""
return {
"request_count": self.request_count,
"error_count": self.error_count,
"error_rate": self.error_count / max(self.request_count, 1),
"session_active": self.session is not None
}
def reset_stats(self):
"""重置统计信息"""
self.request_count = 0
self.error_count = 0
def create_spider() -> GXGPSpider:
"""
创建爬虫实例
Returns:
GXGPSpider: 爬虫实例
"""
return GXGPSpider()
def crawl_announcements(keywords: Optional[List[str]] = None,
sources: Optional[List[str]] = None) -> List[CrawlResult]:
"""
便捷函数:爬取公告
Args:
keywords: 关键词过滤(暂时未使用,在筛选模块处理)
sources: 来源代码列表
Returns:
List[CrawlResult]: 爬取结果
"""
spider = create_spider()
try:
# 过滤来源
if sources:
all_sources = spider._load_sources_from_config()
filtered_sources = [s for s in all_sources if s.code in sources]
else:
filtered_sources = None
return spider.crawl_all_sources(filtered_sources)
finally:
spider.close_session()
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"""筛选模块"""
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"""
智能筛选模块
提供关键词过滤、日期范围筛选、自动去重等功能
"""
from typing import List, Optional, Dict, Any, Set
from datetime import datetime, date
from dataclasses import dataclass
import re
try:
from ..core.models import Announcement
from ..core.logger import get_logger
from ..core.database import get_database_manager
except ImportError:
from core.models import Announcement
from core.logger import get_logger
from core.database import get_database_manager
logger = get_logger(__name__)
@dataclass
class FilterCriteria:
"""筛选条件"""
keywords: List[str] = None # 关键词列表
start_date: Optional[date] = None # 开始日期
end_date: Optional[date] = None # 结束日期
sources: List[str] = None # 来源代码列表
exclude_today: bool = False # 排除今日公告
case_sensitive: bool = False # 关键词匹配是否区分大小写
fuzzy_match: bool = False # 是否启用模糊匹配
def __post_init__(self):
if self.keywords is None:
self.keywords = []
if self.sources is None:
self.sources = []
@dataclass
class FilterResult:
"""筛选结果"""
total_count: int = 0 # 总数
filtered_count: int = 0 # 筛选后数量
keyword_filtered: int = 0 # 关键词筛选数量
date_filtered: int = 0 # 日期筛选数量
duplicate_filtered: int = 0 # 去重筛选数量
source_filtered: int = 0 # 来源筛选数量
today_excluded: int = 0 # 排除今日数量
class KeywordFilter:
"""关键词筛选器"""
def __init__(self, case_sensitive: bool = False, fuzzy_match: bool = False):
"""
初始化关键词筛选器
Args:
case_sensitive: 是否区分大小写
fuzzy_match: 是否启用模糊匹配
"""
self.case_sensitive = case_sensitive
self.fuzzy_match = fuzzy_match
self._compiled_patterns = {}
def _compile_patterns(self, keywords: List[str]):
"""编译关键词模式"""
flags = 0 if self.case_sensitive else re.IGNORECASE
for keyword in keywords:
if keyword not in self._compiled_patterns:
if self.fuzzy_match:
# 简单的模糊匹配:将关键词中的空格替换为灵活匹配
pattern = r'.*'.join(re.escape(word) for word in keyword.split())
else:
pattern = re.escape(keyword)
self._compiled_patterns[keyword] = re.compile(pattern, flags)
def matches(self, text: str, keywords: List[str]) -> bool:
"""
检查文本是否匹配关键词
Args:
text: 要检查的文本
keywords: 关键词列表
Returns:
bool: 是否匹配
"""
if not keywords or not text:
return True # 没有关键词或文本时,认为匹配
if not self.fuzzy_match:
# 精确匹配
search_text = text if self.case_sensitive else text.lower()
search_keywords = keywords if self.case_sensitive else [k.lower() for k in keywords]
for keyword in search_keywords:
if keyword in search_text:
return True
return False
else:
# 正则匹配
self._compile_patterns(keywords)
for keyword in keywords:
pattern = self._compiled_patterns[keyword]
if pattern.search(text):
return True
return False
def filter_announcements(self, announcements: List[Announcement],
keywords: List[str]) -> List[Announcement]:
"""
筛选匹配关键词的公告
Args:
announcements: 公告列表
keywords: 关键词列表
Returns:
List[Announcement]: 筛选后的公告列表
"""
if not keywords:
# 没有关键词时,所有公告都匹配
for announcement in announcements:
announcement.keyword_matched = True
return announcements
filtered = []
for announcement in announcements:
# 构建搜索文本
search_text = f"{announcement.title} {announcement.purchase_name}"
if self.matches(search_text, keywords):
announcement.keyword_matched = True
filtered.append(announcement)
else:
announcement.keyword_matched = False
logger.info(f"关键词筛选: {len(announcements)} -> {len(filtered)} 条公告")
return filtered
class DateFilter:
"""日期筛选器"""
def filter_announcements(self, announcements: List[Announcement],
start_date: Optional[date] = None,
end_date: Optional[date] = None,
exclude_today: bool = False) -> List[Announcement]:
"""
筛选日期范围内的公告
Args:
announcements: 公告列表
start_date: 开始日期
end_date: 结束日期
exclude_today: 是否排除今日公告
Returns:
List[Announcement]: 筛选后的公告列表
"""
if not start_date and not end_date and not exclude_today:
# 没有日期限制时,所有公告都通过
for announcement in announcements:
announcement.date_filtered = True
return announcements
filtered = []
today = date.today()
for announcement in announcements:
if not announcement.publish_date:
# 没有发布日期的公告不通过筛选
announcement.date_filtered = False
continue
publish_date = announcement.publish_date.date()
# 检查日期范围
date_in_range = True
if start_date and publish_date < start_date:
date_in_range = False
if end_date and publish_date > end_date:
date_in_range = False
# 检查是否排除今日
if exclude_today and publish_date == today:
date_in_range = False
announcement.date_filtered = date_in_range
if date_in_range:
filtered.append(announcement)
logger.info(f"日期筛选: {len(announcements)} -> {len(filtered)} 条公告")
return filtered
class DuplicateFilter:
"""去重筛选器"""
def __init__(self, use_database: bool = True):
"""
初始化去重筛选器
Args:
use_database: 是否使用数据库检查重复
"""
self.use_database = use_database
self.db_manager = get_database_manager() if use_database else None
def filter_announcements(self, announcements: List[Announcement]) -> List[Announcement]:
"""
去除重复的公告
Args:
announcements: 公告列表
Returns:
List[Announcement]: 去重后的公告列表
"""
if not announcements:
return announcements
seen_hashes = set()
filtered = []
for announcement in announcements:
# 生成内容哈希
if not announcement.content_hash:
announcement.generate_content_hash()
content_hash = announcement.content_hash
# 检查是否已存在
is_duplicate = False
if self.use_database and self.db_manager:
# 数据库检查
is_duplicate = self.db_manager.is_announcement_exists(content_hash)
else:
# 内存检查
if content_hash in seen_hashes:
is_duplicate = True
seen_hashes.add(content_hash)
if not is_duplicate:
filtered.append(announcement)
# 注意:这里不设置is_new标志,因为这是在爬取后的筛选阶段
duplicate_count = len(announcements) - len(filtered)
if duplicate_count > 0:
logger.info(f"去重筛选: 移除了 {duplicate_count} 条重复公告")
return filtered
class SourceFilter:
"""来源筛选器"""
def filter_announcements(self, announcements: List[Announcement],
allowed_sources: List[str]) -> List[Announcement]:
"""
筛选指定来源的公告
Args:
announcements: 公告列表
allowed_sources: 允许的来源代码列表
Returns:
List[Announcement]: 筛选后的公告列表
"""
if not allowed_sources:
return announcements
filtered = []
for announcement in announcements:
if announcement.source_code in allowed_sources:
filtered.append(announcement)
logger.info(f"来源筛选: {len(announcements)} -> {len(filtered)} 条公告")
return filtered
class AnnouncementFilter:
"""公告智能筛选器"""
def __init__(self, criteria: FilterCriteria = None):
"""
初始化公告筛选器
Args:
criteria: 筛选条件
"""
self.criteria = criteria or FilterCriteria()
# 初始化各个筛选器
self.keyword_filter = KeywordFilter(
case_sensitive=self.criteria.case_sensitive,
fuzzy_match=self.criteria.fuzzy_match
)
self.date_filter = DateFilter()
self.duplicate_filter = DuplicateFilter()
self.source_filter = SourceFilter()
def filter(self, announcements: List[Announcement]) -> tuple[List[Announcement], FilterResult]:
"""
执行完整的筛选流程
Args:
announcements: 原始公告列表
Returns:
tuple: (筛选后的公告列表, 筛选结果统计)
"""
result = FilterResult()
result.total_count = len(announcements)
# 1. 来源筛选
if self.criteria.sources:
announcements = self.source_filter.filter_announcements(
announcements, self.criteria.sources)
result.source_filtered = result.total_count - len(announcements)
# 2. 去重筛选
announcements = self.duplicate_filter.filter_announcements(announcements)
result.duplicate_filtered = result.total_count - len(announcements) - result.source_filtered
# 3. 日期筛选
announcements = self.date_filter.filter_announcements(
announcements,
self.criteria.start_date,
self.criteria.end_date,
self.criteria.exclude_today
)
result.date_filtered = result.total_count - len(announcements) - result.source_filtered - result.duplicate_filtered
# 4. 关键词筛选
if self.criteria.keywords:
announcements = self.keyword_filter.filter_announcements(
announcements, self.criteria.keywords)
result.keyword_filtered = result.total_count - len(announcements) - result.source_filtered - result.duplicate_filtered - result.date_filtered
result.filtered_count = len(announcements)
logger.info(
f"筛选完成: 总数 {result.total_count} -> 筛选后 {result.filtered_count} "
f"(关键词: {result.keyword_filtered}, 日期: {result.date_filtered}, "
f"去重: {result.duplicate_filtered}, 来源: {result.source_filtered})"
)
return announcements, result
def quick_filter(self, announcement: Announcement) -> bool:
"""
快速筛选单个公告(用于实时筛选)
Args:
announcement: 公告对象
Returns:
bool: 是否通过筛选
"""
# 检查来源
if self.criteria.sources and announcement.source_code not in self.criteria.sources:
return False
# 检查日期
if not announcement.in_date_range(
self.criteria.start_date.isoformat() if self.criteria.start_date else None,
self.criteria.end_date.isoformat() if self.criteria.end_date else None
):
return False
# 检查关键词
if self.criteria.keywords:
search_text = f"{announcement.title} {announcement.purchase_name}"
if not self.keyword_filter.matches(search_text, self.criteria.keywords):
return False
return True
def update_criteria(self, criteria: FilterCriteria):
"""
更新筛选条件
Args:
criteria: 新的筛选条件
"""
self.criteria = criteria
# 重新初始化筛选器
self.keyword_filter = KeywordFilter(
case_sensitive=self.criteria.case_sensitive,
fuzzy_match=self.criteria.fuzzy_match
)
def create_default_filter(keywords: List[str] = None,
start_date: str = None,
end_date: str = None) -> AnnouncementFilter:
"""
创建默认筛选器
Args:
keywords: 关键词列表
start_date: 开始日期字符串 (YYYY-MM-DD)
end_date: 结束日期字符串 (YYYY-MM-DD)
Returns:
AnnouncementFilter: 筛选器实例
"""
criteria = FilterCriteria()
if keywords:
criteria.keywords = keywords
if start_date:
try:
criteria.start_date = datetime.fromisoformat(start_date).date()
except ValueError:
logger.warning(f"无效的开始日期格式: {start_date}")
if end_date:
try:
criteria.end_date = datetime.fromisoformat(end_date).date()
except ValueError:
logger.warning(f"无效的结束日期格式: {end_date}")
return AnnouncementFilter(criteria)
def filter_from_config() -> AnnouncementFilter:
"""
从配置文件创建筛选器
Returns:
AnnouncementFilter: 配置化的筛选器
"""
try:
from ..core.config_manager import get_config
except ImportError:
from core.config_manager import get_config
config = get_config()
criteria = FilterCriteria()
criteria.keywords = config.crawler.keyword
criteria.sources = list(config.sources.keys()) # 默认包含所有来源
# 日期范围
if config.crawler.start_date:
try:
criteria.start_date = datetime.fromisoformat(config.crawler.start_date).date()
except ValueError:
pass
if config.crawler.end_date:
try:
criteria.end_date = datetime.fromisoformat(config.crawler.end_date).date()
except ValueError:
pass
return AnnouncementFilter(criteria)
-858
View File
@@ -1,858 +0,0 @@
2026-01-07 17:16:51 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:16:51 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:16:51 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:16:52 - core.reliability - INFO - 健康检查通过
2026-01-07 17:16:52 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:16:52 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:16:52 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:16:52 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:16:52 - __main__ - INFO - 应用初始化完成
2026-01-07 17:16:52 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:16:52 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:20:31 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:20:31 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:20:31 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:20:31 - core.reliability - INFO - 健康检查通过
2026-01-07 17:20:31 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:20:31 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:20:31 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:20:31 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:20:31 - __main__ - INFO - 应用初始化完成
2026-01-07 17:20:31 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:20:31 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:21:02 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:21:02 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:21:02 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:21:02 - core.reliability - INFO - 健康检查通过
2026-01-07 17:21:02 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:21:02 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:21:02 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:21:02 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:21:02 - __main__ - INFO - 应用初始化完成
2026-01-07 17:21:02 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:21:02 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:22:10 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:22:10 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:22:10 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:22:10 - core.reliability - INFO - 健康检查通过
2026-01-07 17:22:10 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:22:10 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:22:10 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:22:10 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:22:10 - __main__ - INFO - 应用初始化完成
2026-01-07 17:22:10 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:22:10 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:22:44 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:22:44 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:22:44 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:22:44 - core.reliability - INFO - 健康检查通过
2026-01-07 17:22:44 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:22:44 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:22:44 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:22:44 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:22:44 - __main__ - INFO - 应用初始化完成
2026-01-07 17:22:44 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:22:44 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:22:46 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:22:46 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:22:46 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:22:47 - core.reliability - INFO - 健康检查通过
2026-01-07 17:22:47 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:22:47 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:22:47 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:22:47 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:22:47 - __main__ - INFO - 应用初始化完成
2026-01-07 17:22:47 - __main__ - INFO - 开始执行爬取任务
2026-01-07 17:22:47 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 采购公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 结果公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 合同公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 更正公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 招标文件预公示 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 单一来源公示 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 电子卖场公示 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 履约验收公示 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 工程类公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 框架协议征集公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 框架协议入围结果公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 框架协议成交结果汇总公告 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - ERROR - 爬取来源 采购意向公开 时发生未预期错误: 'Logger' object has no attribute 'log_crawl_start'
2026-01-07 17:22:47 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 0 个,失败 13 个,获取 0 条公告
2026-01-07 17:22:47 - __main__ - INFO - 爬取到 0 条原始公告
2026-01-07 17:22:47 - __main__ - ERROR - 爬取任务执行失败: attempted relative import beyond top-level package
2026-01-07 17:22:47 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:22:47 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:23:10 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:23:10 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:23:10 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:23:10 - core.reliability - INFO - 健康检查通过
2026-01-07 17:23:10 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:23:10 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:23:10 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:23:10 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:23:10 - __main__ - INFO - 应用初始化完成
2026-01-07 17:23:10 - __main__ - INFO - 开始执行爬取任务
2026-01-07 17:23:10 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 采购公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 结果公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 合同公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 更正公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 招标文件预公示 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 单一来源公示 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 电子卖场公示 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 履约验收公示 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 工程类公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 框架协议征集公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 框架协议入围结果公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 框架协议成交结果汇总公告 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - ERROR - 爬取来源 采购意向公开 时发生未预期错误: attempted relative import beyond top-level package
2026-01-07 17:23:10 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 0 个,失败 13 个,获取 0 条公告
2026-01-07 17:23:10 - __main__ - INFO - 爬取到 0 条原始公告
2026-01-07 17:23:10 - __main__ - ERROR - 爬取任务执行失败: attempted relative import beyond top-level package
2026-01-07 17:23:10 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:23:10 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:23:34 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:23:34 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:23:34 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:23:35 - core.reliability - INFO - 健康检查通过
2026-01-07 17:23:35 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:23:35 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:23:35 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:23:35 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:23:35 - __main__ - INFO - 应用初始化完成
2026-01-07 17:23:35 - __main__ - INFO - 开始执行爬取任务
2026-01-07 17:23:35 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-07 17:23:35 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-01-07 17:24:05 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:05 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:05 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:05 - crawler.parsers - INFO - 成功解析 97/100 条公告记录
2026-01-07 17:24:05 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 97 条公告,耗时 30.46秒
2026-01-07 17:24:05 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-01-07 17:24:05 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:24:05 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-07 17:24:05 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-01-07 17:24:06 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.17秒
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-01-07 17:24:06 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.23秒
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - INFO - 成功解析 78/100 条公告记录
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 78 条公告,耗时 0.17秒
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:06 - crawler.parsers - INFO - 成功解析 0/100 条公告记录
2026-01-07 17:24:06 - crawler.spider - INFO - 单一来源公示 第1页解析到0条公告
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 0 条公告,耗时 0.18秒
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-01-07 17:24:06 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-01-07 17:24:06 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-01-07 17:24:07 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.16秒
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-01-07 17:24:07 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - INFO - 成功解析 62/100 条公告记录
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 62 条公告,耗时 0.20秒
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:07 - crawler.parsers - INFO - 成功解析 13/100 条公告记录
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 13 条公告,耗时 0.17秒
2026-01-07 17:24:07 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - ERROR - 解析单个公告记录失败: 'NoneType' object has no attribute 'strip'
2026-01-07 17:24:08 - crawler.parsers - INFO - 成功解析 0/100 条公告记录
2026-01-07 17:24:08 - crawler.spider - INFO - 框架协议成交结果汇总公告 第1页解析到0条公告
2026-01-07 17:24:08 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 0 条公告,耗时 0.29秒
2026-01-07 17:24:08 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-01-07 17:24:08 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:24:08 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.17秒
2026-01-07 17:24:08 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 950 条公告
2026-01-07 17:24:08 - __main__ - INFO - 爬取到 950 条原始公告
2026-01-07 17:24:08 - __main__ - ERROR - 爬取任务执行失败: attempted relative import beyond top-level package
2026-01-07 17:24:08 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:24:08 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:24:17 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:24:17 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:24:17 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:24:17 - core.reliability - INFO - 健康检查通过
2026-01-07 17:24:17 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:24:17 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:24:17 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:24:17 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:24:17 - __main__ - INFO - 应用初始化完成
2026-01-07 17:24:17 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:24:17 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:26:34 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:26:34 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:26:34 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:26:34 - core.reliability - INFO - 健康检查通过
2026-01-07 17:26:34 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:26:34 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:26:34 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:26:34 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:26:34 - __main__ - INFO - 应用初始化完成
2026-01-07 17:26:34 - __main__ - INFO - 开始执行爬取任务
2026-01-07 17:26:34 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-07 17:26:34 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-01-07 17:26:34 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:34 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 0.48秒
2026-01-07 17:26:34 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-01-07 17:26:35 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.21秒
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-01-07 17:26:35 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-01-07 17:26:35 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.23秒
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-01-07 17:26:35 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.20秒
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-01-07 17:26:35 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.17秒
2026-01-07 17:26:35 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-01-07 17:26:36 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.40秒
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-01-07 17:26:36 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.22秒
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-01-07 17:26:36 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-01-07 17:26:36 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:26:36 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-01-07 17:26:37 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:37 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.25秒
2026-01-07 17:26:37 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-01-07 17:26:37 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:37 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:26:37 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-01-07 17:26:37 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:37 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.17秒
2026-01-07 17:26:37 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-01-07 17:26:37 - __main__ - INFO - 爬取到 1300 条原始公告
2026-01-07 17:26:37 - __main__ - ERROR - 爬取任务执行失败: attempted relative import beyond top-level package
2026-01-07 17:26:37 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:26:37 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:26:57 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:26:57 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:26:57 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:26:58 - core.reliability - INFO - 健康检查通过
2026-01-07 17:26:58 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:26:58 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:26:58 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:26:58 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:26:58 - __main__ - INFO - 应用初始化完成
2026-01-07 17:26:58 - __main__ - INFO - 开始执行爬取任务
2026-01-07 17:26:58 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-07 17:26:58 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-01-07 17:26:58 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:58 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 0.37秒
2026-01-07 17:26:58 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-01-07 17:26:58 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:58 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.23秒
2026-01-07 17:26:58 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-01-07 17:26:58 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:58 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:26:58 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-01-07 17:26:59 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.20秒
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-01-07 17:26:59 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.21秒
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-01-07 17:26:59 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.16秒
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-01-07 17:26:59 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.38秒
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-01-07 17:26:59 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-07 17:26:59 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-01-07 17:27:00 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.25秒
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-01-07 17:27:00 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.21秒
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-01-07 17:27:00 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.17秒
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-01-07 17:27:00 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:27:00 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-01-07 17:27:01 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:27:01 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.25秒
2026-01-07 17:27:01 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-01-07 17:27:01 - __main__ - INFO - 爬取到 1300 条原始公告
2026-01-07 17:27:01 - filters.filters - INFO - 来源筛选: 1300 -> 1300 条公告
2026-01-07 17:27:01 - filters.filters - INFO - 关键词筛选: 1300 -> 18 条公告
2026-01-07 17:27:01 - filters.filters - INFO - 筛选完成: 总数 1300 -> 筛选后 18 (关键词: 1282, 日期: 0, 去重: 0, 来源: 0)
2026-01-07 17:27:01 - __main__ - INFO - 筛选后剩余 18 条公告
2026-01-07 17:27:01 - storage.postgresql - INFO - 开始保存 18 条公告到数据库
2026-01-07 17:27:01 - core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-01-07 17:27:01 - storage.postgresql - INFO - 成功保存 1 条公告到数据库
2026-01-07 17:27:01 - storage.md_generator - INFO - Markdown文件已保存到: onu.md (共 18 条公告)
2026-01-07 17:27:01 - notification.wechat - INFO - 企业微信服务初始化完成
2026-01-07 17:27:01 - notification.wechat - INFO - 成功获取企业微信访问令牌
2026-01-07 17:27:01 - notification.wechat - INFO - Markdown消息发送成功
2026-01-07 17:27:01 - __main__ - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 18, 'saved': 1, 'markdown_generated': True, 'notification_sent': True, 'filter_stats': {'keyword_filtered': 1282, 'date_filtered': 0, 'duplicate_filtered': 0, 'source_filtered': 0}}
2026-01-07 17:27:01 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:27:01 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:29:05 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:29:05 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:29:05 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:29:06 - core.reliability - INFO - 健康检查通过
2026-01-07 17:29:06 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:29:06 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:29:06 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:29:06 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:29:06 - __main__ - INFO - 应用初始化完成
2026-01-07 17:29:06 - scheduler.scheduler - INFO - 添加定时任务: daily_crawl (0 8,14,18 * * *)
2026-01-07 17:29:06 - scheduler.scheduler - INFO - 添加定时任务: data_cleanup (0 2 * * *)
2026-01-07 17:31:58 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:31:58 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:31:58 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:31:58 - core.reliability - INFO - 健康检查通过
2026-01-07 17:31:58 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:31:58 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:31:58 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:31:58 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:31:58 - __main__ - INFO - 应用初始化完成
2026-01-07 17:34:32 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:34:32 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:34:32 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:34:32 - core.reliability - INFO - 健康检查通过
2026-01-07 17:34:32 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:34:32 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:34:32 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:34:32 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:34:32 - __main__ - INFO - 应用初始化完成
2026-01-07 17:34:35 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:34:35 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:34:35 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:34:35 - core.reliability - INFO - 健康检查通过
2026-01-07 17:34:35 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:34:35 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:34:35 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:34:35 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:34:35 - __main__ - INFO - 应用初始化完成
2026-01-07 17:34:35 - __main__ - INFO - 开始执行爬取任务
2026-01-07 17:34:35 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-07 17:34:35 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-01-07 17:35:05 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:05 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 30.44秒
2026-01-07 17:35:05 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-01-07 17:35:06 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.26秒
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-01-07 17:35:06 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.20秒
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-01-07 17:35:06 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.23秒
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-01-07 17:35:06 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-07 17:35:06 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-01-07 17:35:07 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-01-07 17:35:07 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.34秒
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-01-07 17:35:07 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.21秒
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-01-07 17:35:07 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-01-07 17:35:07 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:35:07 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-01-07 17:35:08 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:08 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-07 17:35:08 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-01-07 17:35:08 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:08 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.25秒
2026-01-07 17:35:08 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-01-07 17:35:08 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:35:08 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:35:08 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-01-07 17:35:08 - __main__ - INFO - 爬取到 1300 条原始公告
2026-01-07 17:35:08 - filters.filters - INFO - 来源筛选: 1300 -> 1300 条公告
2026-01-07 17:35:08 - filters.filters - INFO - 去重筛选: 移除了 18 条重复公告
2026-01-07 17:35:08 - filters.filters - INFO - 关键词筛选: 1282 -> 0 条公告
2026-01-07 17:35:08 - filters.filters - INFO - 筛选完成: 总数 1300 -> 筛选后 0 (关键词: 1282, 日期: 0, 去重: 18, 来源: 0)
2026-01-07 17:35:08 - __main__ - INFO - 筛选后剩余 0 条公告
2026-01-07 17:35:08 - storage.md_generator - INFO - Markdown文件已保存到: onu.md (共 0 条公告)
2026-01-07 17:35:08 - __main__ - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 0, 'saved': 0, 'markdown_generated': True, 'notification_sent': False, 'filter_stats': {'keyword_filtered': 1282, 'date_filtered': 0, 'duplicate_filtered': 18, 'source_filtered': 0}}
2026-01-07 17:35:38 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-07 17:35:38 - __main__ - INFO - 版本: 1.0.0
2026-01-07 17:35:38 - __main__ - INFO - 配置文件: 默认配置
2026-01-07 17:35:38 - core.reliability - INFO - 健康检查通过
2026-01-07 17:35:38 - core.database - INFO - 数据库连接池初始化成功
2026-01-07 17:35:38 - core.database - INFO - 开始初始化数据库表结构
2026-01-07 17:35:38 - core.database - INFO - 数据库表结构初始化完成
2026-01-07 17:35:38 - storage.postgresql - INFO - 存储初始化完成
2026-01-07 17:35:38 - __main__ - INFO - 应用初始化完成
2026-01-07 17:35:38 - __main__ - INFO - 开始执行爬取任务
2026-01-07 17:35:38 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-07 17:35:38 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-01-07 17:36:09 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 30.49秒
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-01-07 17:36:09 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.20秒
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-01-07 17:36:09 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-01-07 17:36:09 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-01-07 17:36:09 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-01-07 17:36:10 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:10 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.28秒
2026-01-07 17:36:10 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-01-07 17:36:10 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:10 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-07 17:36:10 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-01-07 17:36:10 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:10 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.36秒
2026-01-07 17:36:10 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-01-07 17:36:11 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-01-07 17:36:11 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.21秒
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-01-07 17:36:11 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.15秒
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-01-07 17:36:11 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.24秒
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-01-07 17:36:11 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.16秒
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-01-07 17:36:11 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-07 17:36:11 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-07 17:36:11 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-01-07 17:36:11 - __main__ - INFO - 爬取到 1300 条原始公告
2026-01-07 17:36:11 - filters.filters - INFO - 来源筛选: 1300 -> 1300 条公告
2026-01-07 17:36:12 - filters.filters - INFO - 去重筛选: 移除了 18 条重复公告
2026-01-07 17:36:12 - filters.filters - INFO - 关键词筛选: 1282 -> 0 条公告
2026-01-07 17:36:12 - filters.filters - INFO - 筛选完成: 总数 1300 -> 筛选后 0 (关键词: 1282, 日期: 0, 去重: 18, 来源: 0)
2026-01-07 17:36:12 - __main__ - INFO - 筛选后剩余 0 条公告
2026-01-07 17:36:12 - storage.md_generator - INFO - Markdown文件已保存到: onu.md (共 0 条公告)
2026-01-07 17:36:12 - __main__ - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 0, 'saved': 0, 'markdown_generated': True, 'notification_sent': False, 'filter_stats': {'keyword_filtered': 1282, 'date_filtered': 0, 'duplicate_filtered': 18, 'source_filtered': 0}}
2026-01-08 08:17:30 - __main__ - INFO - === 广西政府采购网公告监控系统启动 ===
2026-01-08 08:17:30 - __main__ - INFO - 版本: 1.0.0
2026-01-08 08:17:30 - __main__ - INFO - 配置文件: 默认配置
2026-01-08 08:17:30 - core.reliability - INFO - 健康检查通过
2026-01-08 08:17:30 - core.database - INFO - 数据库连接池初始化成功
2026-01-08 08:17:30 - core.database - INFO - 开始初始化数据库表结构
2026-01-08 08:17:30 - core.database - INFO - 数据库表结构初始化完成
2026-01-08 08:17:30 - storage.postgresql - INFO - 存储初始化完成
2026-01-08 08:17:30 - __main__ - INFO - 应用初始化完成
2026-01-08 08:17:30 - __main__ - INFO - 开始执行爬取任务
2026-01-08 08:17:30 - crawler.spider - INFO - 开始爬取 13 个公告来源
2026-01-08 08:17:30 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-01-08 08:17:31 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 0.53秒
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-01-08 08:17:31 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-01-08 08:17:31 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.20秒
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-01-08 08:17:31 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.28秒
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-01-08 08:17:31 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-08 08:17:31 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-01-08 08:17:32 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:32 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.16秒
2026-01-08 08:17:32 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-01-08 08:17:32 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:32 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.34秒
2026-01-08 08:17:32 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-01-08 08:17:32 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:32 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.48秒
2026-01-08 08:17:32 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-01-08 08:17:33 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.23秒
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-01-08 08:17:33 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.18秒
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-01-08 08:17:33 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.23秒
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-01-08 08:17:33 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.16秒
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-01-08 08:17:33 - crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-01-08 08:17:33 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.19秒
2026-01-08 08:17:33 - crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-01-08 08:17:33 - __main__ - INFO - 爬取到 1300 条原始公告
2026-01-08 08:17:33 - filters.filters - INFO - 来源筛选: 1300 -> 1300 条公告
2026-01-08 08:17:34 - filters.filters - INFO - 去重筛选: 移除了 17 条重复公告
2026-01-08 08:17:34 - filters.filters - INFO - 关键词筛选: 1283 -> 0 条公告
2026-01-08 08:17:34 - filters.filters - INFO - 筛选完成: 总数 1300 -> 筛选后 0 (关键词: 1283, 日期: 0, 去重: 17, 来源: 0)
2026-01-08 08:17:34 - __main__ - INFO - 筛选后剩余 0 条公告
2026-01-08 08:17:34 - storage.md_generator - INFO - Markdown文件已保存到: onu.md (共 0 条公告)
2026-01-08 08:17:34 - __main__ - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 0, 'saved': 0, 'markdown_generated': True, 'notification_sent': False, 'filter_stats': {'keyword_filtered': 1283, 'date_filtered': 0, 'duplicate_filtered': 17, 'source_filtered': 0}}
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@@ -1,433 +0,0 @@
#!/usr/bin/env python3
"""
广西政府采购网公告监控系统主程序
广西政府采购网公告爬取和监控的智能系统
"""
import sys
import argparse
import signal
from pathlib import Path
# 添加项目根目录到Python路径
project_root = Path(__file__).parent
sys.path.insert(0, str(project_root))
try:
# 尝试相对导入
from .core.config_manager import load_config, get_config
from .core.logger import init_logger, get_logger
from .core.reliability import check_system_health
from .crawler.spider import crawl_announcements
from .filters.filters import filter_from_config
from .storage.postgresql import init_storage, save_announcements_to_storage, save_all_announcements_by_source_to_storage, cleanup_storage
from .storage.md_generator import generate_onu_md
from .notification.wechat import send_announcements_notification, send_system_notification
from .wechat.callback_server import get_callback_server
from .wechat.menu_manager import WeChatMenuManager
except ImportError:
try:
# 尝试绝对导入(直接运行脚本时)
from core.config_manager import load_config, get_config
from core.logger import init_logger, get_logger
from core.reliability import check_system_health
from crawler.spider import crawl_announcements
from filters.filters import filter_from_config
from storage.postgresql import init_storage, save_announcements_to_storage, save_all_announcements_by_source_to_storage, cleanup_storage
from storage.md_generator import generate_onu_md
from notification.wechat import send_announcements_notification, send_system_notification
# 企业微信模块动态导入,避免循环导入问题
wechat_available = True
try:
from wechat.callback_server import get_callback_server
from wechat.menu_manager import WeChatMenuManager
except ImportError:
wechat_available = False
print("企业微信模块不可用", file=sys.stderr)
except ImportError as e:
print(f"导入错误: {e}", file=sys.stderr)
print("请确保依赖已正确安装: pip install -r requirements.txt", file=sys.stderr)
sys.exit(1)
logger = get_logger(__name__)
class GXGPMonitorApp:
"""广西政府采购网监控系统应用"""
def __init__(self):
self.config = None
self.logger = None
self.running = False
def initialize(self, config_file: str = None):
"""初始化应用"""
try:
# 加载配置
self.config = load_config(config_file)
# 初始化日志
self.logger = init_logger(config=self.config)
logger.info("=== 广西政府采购网公告监控系统启动 ===")
logger.info(f"版本: 1.0.0")
logger.info(f"配置文件: {config_file or '默认配置'}")
# 系统健康检查
if not check_system_health():
logger.warning("系统健康检查失败,但继续运行")
# 初始化存储
init_storage()
logger.info("应用初始化完成")
return True
except Exception as e:
print(f"应用初始化失败: {str(e)}", file=sys.stderr)
return False
def run_crawl(self, keywords: list = None, sources: list = None, max_pages: int = None):
"""执行爬取任务"""
try:
logger.info("开始执行爬取任务")
# 执行爬取
crawl_results = crawl_announcements(keywords, sources)
if not crawl_results:
logger.info("爬取完成:无数据")
return {"success": True, "results": []}
# 收集所有公告
all_announcements = []
for result in crawl_results:
if result.announcements:
all_announcements.extend(result.announcements)
logger.info(f"爬取到 {len(all_announcements)} 条原始公告")
# 先保存所有公告(按来源分组,每源保留最新100条)
all_saved_stats = save_all_announcements_by_source_to_storage(all_announcements, max_per_source=100)
all_saved_count = sum(all_saved_stats.values())
logger.info(f"保存所有公告完成:共保存 {all_saved_count} 条,按来源统计: {all_saved_stats}")
# 筛选公告
filter_obj = filter_from_config()
filtered_announcements, filter_stats = filter_obj.filter(all_announcements)
logger.info(f"筛选后剩余 {len(filtered_announcements)} 条公告")
# 保存筛选后的公告(用于标记关键词匹配等)
saved_count = save_announcements_to_storage(filtered_announcements)
# 生成Markdown文件
md_success = generate_onu_md(filtered_announcements)
# 发送通知
notify_success = False
if filtered_announcements and self.config.wechat_app.enabled:
notify_success = send_announcements_notification(filtered_announcements)
result = {
"success": True,
"total_crawled": len(all_announcements),
"filtered": len(filtered_announcements),
"saved": saved_count,
"markdown_generated": md_success,
"notification_sent": notify_success,
"filter_stats": {
"keyword_filtered": filter_stats.keyword_filtered,
"date_filtered": filter_stats.date_filtered,
"duplicate_filtered": filter_stats.duplicate_filtered,
"source_filtered": filter_stats.source_filtered
}
}
logger.info(f"爬取任务完成: {result}")
return result
except Exception as e:
logger.error(f"爬取任务执行失败: {str(e)}")
return {"success": False, "error": str(e)}
def run_cleanup(self, days: int = None):
"""执行数据清理任务"""
try:
logger.info("开始执行数据清理任务")
deleted_count = cleanup_storage(days)
logger.info(f"数据清理完成:删除 {deleted_count} 条过期数据")
# 发送通知
if deleted_count > 0 and self.config.wechat_app.enabled:
send_system_notification(
"数据清理完成",
f"已清理 {deleted_count} 条过期数据"
)
return {"success": True, "deleted": deleted_count}
except Exception as e:
logger.error(f"数据清理任务执行失败: {str(e)}")
return {"success": False, "error": str(e)}
def run_wechat_server(self, host: str = '0.0.0.0', port: int = 18001):
"""启动企业微信回调服务器"""
if not wechat_available:
return {"success": False, "error": "企业微信模块不可用"}
try:
logger.info("启动企业微信回调服务器")
# 获取回调服务器
callback_server = get_callback_server()
# 启动服务器
callback_server.run(host=host, port=port, debug=self.config.debug)
return {"success": True, "host": host, "port": port}
except Exception as e:
logger.error(f"启动企业微信回调服务器失败: {str(e)}")
return {"success": False, "error": str(e)}
def manage_wechat_menu(self, action: str) -> Dict[str, Any]:
"""管理企业微信菜单"""
if not wechat_available:
return {"success": False, "error": "企业微信模块不可用"}
try:
logger.info(f"执行企业微信菜单操作: {action}")
menu_manager = WeChatMenuManager()
if action == 'create':
success = menu_manager.create_menu()
result = {"success": success, "action": "create"}
elif action == 'delete':
success = menu_manager.delete_menu()
result = {"success": success, "action": "delete"}
elif action == 'get':
menu_info = menu_manager.get_menu()
result = {"success": menu_info is not None, "action": "get", "menu": menu_info}
elif action == 'test':
test_results = menu_manager.test_menu_operations()
result = {"success": True, "action": "test", "results": test_results}
else:
result = {"success": False, "error": f"未知操作: {action}"}
if result["success"]:
logger.info(f"企业微信菜单操作成功: {action}")
else:
logger.error(f"企业微信菜单操作失败: {action}")
return result
except Exception as e:
logger.error(f"企业微信菜单管理异常: {str(e)}")
return {"success": False, "error": str(e)}
def show_status(self):
"""显示系统状态"""
try:
status = {
"system": {
"version": "1.0.0",
"healthy": check_system_health()
},
"config": {
"debug": self.config.debug,
"log_level": self.config.log_level.value
},
"database": {
"enabled": self.config.database.enabled,
"type": self.config.database.type
},
"wechat": {
"enabled": self.config.wechat_app.enabled
}
}
# 格式化输出
print("\n=== 系统状态 ===")
print(f"系统健康: {'正常' if status['system']['healthy'] else '异常'}")
print(f"调试模式: {'开启' if status['config']['debug'] else '关闭'}")
print(f"日志级别: {status['config']['log_level']}")
print(f"数据库: {'启用' if status['database']['enabled'] else '禁用'} ({status['database']['type']})")
print(f"企业微信: {'启用' if status['wechat']['enabled'] else '禁用'}")
return status
except Exception as e:
logger.error(f"获取系统状态失败: {str(e)}")
return {"error": str(e)}
def create_argument_parser():
"""创建命令行参数解析器"""
parser = argparse.ArgumentParser(
description="广西政府采购网公告监控系统",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
使用示例:
python main.py crawl # 执行一次爬取
python main.py crawl --keywords "大化" # 爬取指定关键词
python main.py cleanup # 执行数据清理
python main.py status # 查看系统状态
python main.py wechat-server # 启动企业微信回调服务器
python main.py wechat-menu --action create # 创建企业微信菜单
"""
)
parser.add_argument(
'command',
choices=['crawl', 'cleanup', 'status', 'wechat-server', 'wechat-menu'],
help='要执行的命令'
)
parser.add_argument(
'--config', '-c',
help='配置文件路径'
)
# crawl命令的参数
parser.add_argument(
'--keywords', '-k',
nargs='+',
help='关键词过滤(多个关键词用空格分隔)'
)
parser.add_argument(
'--sources', '-s',
nargs='+',
help='来源代码过滤(多个来源用空格分隔)'
)
parser.add_argument(
'--max-pages',
type=int,
help='最大爬取页数'
)
# cleanup命令的参数
parser.add_argument(
'--days', '-d',
type=int,
help='清理多少天前的过期数据'
)
# wechat-server命令的参数
parser.add_argument(
'--host', '-H',
default='0.0.0.0',
help='服务器监听主机地址 (默认: 0.0.0.0)'
)
parser.add_argument(
'--port', '-P',
type=int,
default=18001,
help='服务器监听端口 (默认: 18001)'
)
# wechat-menu命令的参数
parser.add_argument(
'--action', '-a',
choices=['create', 'delete', 'get', 'test'],
default='create',
help='菜单操作类型 (默认: create)'
)
return parser
def main():
"""主函数"""
parser = create_argument_parser()
args = parser.parse_args()
# 创建应用实例
app = GXGPMonitorApp()
# 初始化应用
if not app.initialize(args.config):
sys.exit(1)
try:
if args.command == 'crawl':
# 执行爬取
result = app.run_crawl(
keywords=args.keywords,
sources=args.sources,
max_pages=args.max_pages
)
if result["success"]:
print("✅ 爬取任务执行成功")
print(f" 爬取公告: {result['total_crawled']}")
print(f" 筛选后: {result['filtered']}")
print(f" 保存数量: {result['saved']}")
if result.get("markdown_generated"):
print(" Markdown文件: 已生成")
if result.get("notification_sent"):
print(" 通知发送: 已发送")
else:
print(f"❌ 爬取任务执行失败: {result.get('error', '未知错误')}")
sys.exit(1)
elif args.command == 'cleanup':
# 执行清理
result = app.run_cleanup(days=args.days)
if result["success"]:
print(f"✅ 数据清理完成,删除 {result['deleted']} 条记录")
else:
print(f"❌ 数据清理失败: {result.get('error', '未知错误')}")
sys.exit(1)
elif args.command == 'status':
# 显示状态
app.show_status()
elif args.command == 'wechat-server':
# 启动企业微信回调服务器
result = app.run_wechat_server(host=args.host, port=args.port)
if result["success"]:
print(f"✅ 企业微信回调服务器已启动: {result['host']}:{result['port']}")
print(" 回调地址: /api/v1/wechat/callback")
else:
print(f"❌ 企业微信回调服务器启动失败: {result.get('error', '未知错误')}")
sys.exit(1)
elif args.command == 'wechat-menu':
# 企业微信菜单管理
result = app.manage_wechat_menu(action=args.action)
if result["success"]:
if args.action == 'create':
print("✅ 企业微信菜单创建成功")
elif args.action == 'delete':
print("✅ 企业微信菜单删除成功")
elif args.action == 'get':
print("✅ 企业微信菜单获取成功")
if result.get("menu"):
print("菜单信息:", json.dumps(result["menu"], indent=2, ensure_ascii=False))
elif args.action == 'test':
print("✅ 企业微信菜单测试完成")
print("测试结果:", result.get("results"))
else:
error = result.get("error", "未知错误")
print(f"❌ 企业微信菜单操作失败: {error}")
sys.exit(1)
except KeyboardInterrupt:
logger.info("收到中断信号,正在退出...")
except Exception as e:
logger.error(f"程序执行异常: {str(e)}")
print(f"❌ 程序执行异常: {str(e)}", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()
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"""通知模块"""
-868
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@@ -1,868 +0,0 @@
"""
企业微信通知模块
提供企业微信消息发送功能,支持文本和Markdown格式
"""
import requests
import json
import time
import hashlib
from typing import Optional, Dict, Any, List
from datetime import datetime
try:
from ..core.config_manager import get_config
from ..core.logger import get_logger
from ..core.models import Announcement
from ..core.reliability import retry_on_exception, RetryConfig, safe_execute
from ..storage.md_generator import AnnouncementMarkdownFormatter
except ImportError:
from core.config_manager import get_config
from core.logger import get_logger
from core.models import Announcement
from core.reliability import retry_on_exception, RetryConfig, safe_execute
from storage.md_generator import AnnouncementMarkdownFormatter
logger = get_logger(__name__)
class WeChatService:
"""企业微信服务"""
def __init__(self):
self.config = get_config().wechat_app
self._access_token = None
self._token_expires_at = 0
logger.info("企业微信服务初始化完成")
def _get_access_token(self) -> Optional[str]:
"""
获取访问令牌
Returns:
Optional[str]: 访问令牌
"""
current_time = time.time()
# 检查令牌是否仍然有效
if self._access_token and current_time < self._token_expires_at:
return self._access_token
try:
# 构建请求URL
if self.config.use_proxy and hasattr(self.config, 'proxy_api_url'):
url = f"{self.config.proxy_api_url}/cgi-bin/gettoken"
else:
url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
params = {
"corpid": self.config.corp_id,
"corpsecret": self.config.secret
}
logger.debug("正在获取企业微信访问令牌")
response = requests.get(url, params=params, timeout=30)
result = response.json()
if result.get("errcode") == 0:
self._access_token = result.get("access_token")
# 提前5分钟过期
expires_in = result.get("expires_in", 7200) - 300
self._token_expires_at = current_time + expires_in
logger.info("成功获取企业微信访问令牌")
return self._access_token
else:
logger.error(f"获取访问令牌失败: {result}")
return None
except Exception as e:
logger.error(f"获取访问令牌异常: {str(e)}")
return None
@retry_on_exception(RetryConfig(max_retries=3))
def send_text_message(self, content: str,
to_user: str = "@all",
to_party: str = "",
to_tag: str = "") -> bool:
"""
发送文本消息
Args:
content: 消息内容
to_user: 接收者用户ID,多个用|分隔,@all表示全体
to_party: 接收者部门ID,多个用|分隔
to_tag: 接收者标签ID,多个用|分隔
Returns:
bool: 发送是否成功
"""
try:
access_token = self._get_access_token()
if not access_token:
logger.error("无法获取访问令牌,发送失败")
return False
# 构建请求URL
if self.config.use_proxy and hasattr(self.config, 'proxy_api_url'):
url = f"{self.config.proxy_api_url}/cgi-bin/message/send"
else:
url = "https://qyapi.weixin.qq.com/cgi-bin/message/send"
params = {"access_token": access_token}
data = {
"touser": to_user,
"toparty": to_party,
"totag": to_tag,
"msgtype": "text",
"agentid": self.config.agent_id,
"text": {
"content": content
}
}
logger.debug(f"发送文本消息: {content[:100]}...")
response = requests.post(url, params=params, json=data, timeout=30)
result = response.json()
if result.get("errcode") == 0:
logger.info("文本消息发送成功")
return True
else:
logger.error(f"文本消息发送失败: {result}")
return False
except Exception as e:
logger.error(f"发送文本消息异常: {str(e)}")
return False
@retry_on_exception(RetryConfig(max_retries=3))
def send_markdown_message(self, content: str,
to_user: str = "@all",
to_party: str = "",
to_tag: str = "") -> bool:
"""
发送Markdown消息
Args:
content: Markdown格式的消息内容
to_user: 接收者用户ID
to_party: 接收者部门ID
to_tag: 接收者标签ID
Returns:
bool: 发送是否成功
"""
try:
access_token = self._get_access_token()
if not access_token:
logger.error("无法获取访问令牌,发送失败")
return False
# 构建请求URL
if self.config.use_proxy and hasattr(self.config, 'proxy_api_url'):
url = f"{self.config.proxy_api_url}/cgi-bin/message/send"
else:
url = "https://qyapi.weixin.qq.com/cgi-bin/message/send"
params = {"access_token": access_token}
data = {
"touser": to_user,
"toparty": to_party,
"totag": to_tag,
"msgtype": "markdown",
"agentid": self.config.agent_id,
"markdown": {
"content": content
}
}
logger.debug("发送Markdown消息")
response = requests.post(url, params=params, json=data, timeout=30)
result = response.json()
if result.get("errcode") == 0:
logger.info("Markdown消息发送成功")
return True
else:
logger.error(f"Markdown消息发送失败: {result}")
return False
except Exception as e:
logger.error(f"发送Markdown消息异常: {str(e)}")
return False
@retry_on_exception(RetryConfig(max_retries=3))
def send_textcard_message(self, title: str, description: str, url: str,
to_user: str = "@all", to_party: str = "", to_tag: str = "",
btn_txt: str = "查看详情") -> bool:
"""
发送文本卡片消息
Args:
title: 标题
description: 描述内容(支持HTML
url: 点击跳转的链接
to_user: 接收者用户ID
to_party: 接收者部门ID
to_tag: 接收者标签ID
btn_txt: 按钮文字
Returns:
bool: 发送是否成功
"""
try:
access_token = self._get_access_token()
if not access_token:
logger.error("无法获取访问令牌,发送失败")
return False
# 构建请求URL
if self.config.use_proxy and hasattr(self.config, 'proxy_api_url'):
url_endpoint = f"{self.config.proxy_api_url}/cgi-bin/message/send"
else:
url_endpoint = "https://qyapi.weixin.qq.com/cgi-bin/message/send"
params = {"access_token": access_token}
data = {
"touser": to_user,
"toparty": to_party,
"totag": to_tag,
"msgtype": "textcard",
"agentid": self.config.agent_id,
"textcard": {
"title": title,
"description": description,
"url": url,
"btntxt": btn_txt
},
"enable_id_trans": 0,
"enable_duplicate_check": 0,
"duplicate_check_interval": 1800
}
logger.debug(f"发送文本卡片消息: {title}")
response = requests.post(url_endpoint, params=params, json=data, timeout=30)
result = response.json()
if result.get("errcode") == 0:
logger.info("文本卡片消息发送成功")
return True
else:
logger.error(f"文本卡片消息发送失败: {result}")
return False
except Exception as e:
logger.error(f"发送文本卡片消息异常: {str(e)}")
return False
def send_announcement_notification(self, announcements: List[Announcement],
max_count: int = 20) -> bool:
"""
发送公告通知(每条公告发送一条单独的文本卡片消息)
Args:
announcements: 公告列表
max_count: 最大显示数量
Returns:
bool: 是否至少有一条消息发送成功
"""
if not announcements:
logger.info("没有新公告,跳过通知")
return True
success_count = 0
total_count = len(announcements)
logger.info(f"开始发送 {total_count} 条公告通知,每条单独发送")
for i, announcement in enumerate(announcements[:max_count], 1):
try:
logger.debug(f"发送第 {i}/{min(total_count, max_count)} 条公告: {announcement.title[:30]}...")
# 为每条公告生成单独的文本卡片
if self.send_single_announcement_notification(announcement):
success_count += 1
logger.debug(f"{i} 条公告发送成功")
else:
logger.warning(f"{i} 条公告发送失败: {announcement.title[:30]}...")
# 添加短暂延迟,避免发送过快
if i < len(announcements[:max_count]):
import time
time.sleep(0.5)
except Exception as e:
logger.error(f"发送第 {i} 条公告时发生异常: {str(e)}")
continue
logger.info(f"公告通知发送完成: {success_count}/{min(total_count, max_count)} 条成功")
if total_count > max_count:
logger.info(f"还有 {total_count - max_count} 条公告未发送(超过最大数量限制)")
return success_count > 0
def send_single_announcement_notification(self, announcement: Announcement) -> bool:
"""
发送单条公告的通知(文本卡片消息)
Args:
announcement: 单条公告
Returns:
bool: 发送是否成功
"""
try:
# 生成单条公告的文本卡片内容
title, description, url = self._generate_single_textcard_notification(announcement)
# 发送文本卡片消息
return self.send_textcard_message(title, description, url, btn_txt="查看详情")
except Exception as e:
logger.error(f"发送单条公告通知失败: {str(e)}")
return False
def _generate_single_textcard_notification(self, announcement: Announcement) -> tuple[str, str, str]:
"""
生成单条公告的文本卡片内容
新格式示例:
---
**北海市涠洲岛旅游区管理委员会关于办公桌的网上超市采购项目成交公告**
工程类公告 | 北海市涠洲岛旅游区管理委员会 | 2026-01-08 09:28
---
Args:
announcement: 单条公告
Returns:
tuple[str, str, str]: (标题, 描述HTML, URL)
"""
# 标题:公告标题(加粗显示,作为卡片标题)
announcement_title = announcement.title
if len(announcement_title) > 128: # 企业微信卡片标题限制128字符
announcement_title = announcement_title[:125] + "..."
title = announcement_title
# 公告类型映射(英文枚举值 -> 中文显示名称)
type_mapping = {
"PURCHASE": "采购公告",
"RESULT": "结果公告",
"CONTRACT": "合同公告",
"CORRECTION": "更正公告",
"PRE_ANNOUNCEMENT": "招标文件预公示",
"SINGLE_SOURCE": "单一来源公示",
"ELECTRONIC_MARKET": "电子卖场公示",
"ACCEPTANCE": "履约验收公示",
"ENGINEERING": "工程类公告",
"FRAMEWORK_AGREEMENT": "框架协议征集公告",
"FRAMEWORK_RESULT": "框架协议入围结果公告",
"FRAMEWORK_SUMMARY": "框架协议成交结果汇总公告",
"INTENTION": "采购意向公开"
}
# 获取公告类型的中文显示名称
announcement_type_enum = str(announcement.announcement_type).split('.')[-1]
announcement_type_display = type_mapping.get(announcement_type_enum, announcement_type_enum)
# 确定来源名称
source_name = announcement.purchase_name if announcement.purchase_name else announcement.source_name
if len(source_name) > 25: # 限制来源名称长度
source_name = source_name[:22] + "..."
# 时间格式化
if announcement.publish_date:
time_str = announcement.publish_date.strftime("%Y-%m-%d %H:%M")
else:
time_str = "时间未知"
# 生成描述:类型 | 来源 | 时间(使用默认颜色)
description = f'<div style="font-size: 14px; margin-top: 8px;">{announcement_type_display} | {source_name} | {time_str}</div>'
# URL:公告详情链接
url = announcement.content_url
return title, description, url
def _generate_announcement_notification(self, announcements: List[Announcement],
max_count: int) -> str:
"""
生成公告通知内容(改进版)
Args:
announcements: 公告列表
max_count: 最大显示数量
Returns:
str: Markdown格式的通知内容
"""
if not announcements:
return f"""# 🔔 广西政府采购网公告更新
**暂无新公告**
---
*更新时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*
*点击公告标题查看详情*"""
# 按日期分组
today_announcements = []
other_announcements = []
today = datetime.now().date()
for announcement in announcements:
if announcement.publish_date and announcement.publish_date.date() == today:
today_announcements.append(announcement)
else:
other_announcements.append(announcement)
lines = []
# 标题和概要
total_count = len(announcements)
lines.append("# 🔔 广西政府采购网公告更新")
lines.append("")
lines.append(f"📊 **共发现 {total_count} 条新公告**")
lines.append("")
# 今日公告
if today_announcements:
lines.append(f"## 🔥 今日公告 ({len(today_announcements)}条)")
lines.append("")
display_today = today_announcements[:max_count//2]
for i, announcement in enumerate(display_today, 1):
# 改进标题显示:保留更多字符,但确保美观
title = announcement.title
if len(title) > 50:
title = title[:47] + "..."
# 显示时间
time_str = announcement.publish_date.strftime("%H:%M") if announcement.publish_date else "N/A"
# 添加序号和更好的格式
lines.append(f"**{i}.** [{title}]({announcement.content_url})")
lines.append(f"{time_str} | 📍 {announcement.source_name}")
lines.append("")
if len(today_announcements) > len(display_today):
lines.append(f"⚠️ 还有 {len(today_announcements) - len(display_today)} 条今日公告未显示")
lines.append("")
# 其他公告
if other_announcements:
lines.append(f"## 📄 其他公告 ({len(other_announcements)}条)")
lines.append("")
remaining_slots = max_count - len(today_announcements) if today_announcements else max_count
display_other = other_announcements[:remaining_slots]
for i, announcement in enumerate(display_other, 1):
title = announcement.title
if len(title) > 45:
title = title[:42] + "..."
date_str = announcement.publish_date.strftime("%m-%d") if announcement.publish_date else "N/A"
lines.append(f"**{i}.** [{title}]({announcement.content_url}) - {date_str}")
if len(other_announcements) > len(display_other):
lines.append(f"⚠️ 还有 {len(other_announcements) - len(display_other)} 条历史公告未显示")
lines.append("")
# 统计信息 - 改进版
lines.append("## 📈 数据统计")
lines.append("")
# 按来源统计
source_stats = {}
for announcement in announcements:
source = announcement.source_name
source_stats[source] = source_stats.get(source, 0) + 1
# 按类型统计
type_stats = {}
for announcement in announcements:
ann_type = str(announcement.announcement_type).split('.')[-1] # 获取枚举名称
type_stats[ann_type] = type_stats.get(ann_type, 0) + 1
lines.append("**按来源统计:**")
for source, count in sorted(source_stats.items()):
lines.append(f"{source}: {count}")
lines.append("")
lines.append("**按类型统计:**")
for ann_type, count in sorted(type_stats.items()):
lines.append(f"{ann_type}: {count}")
lines.append("")
# 分割线和时间
lines.append("---")
lines.append("")
lines.append(f"🕒 *更新时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*")
lines.append("💡 *点击公告标题查看详情*")
return "\n".join(lines)
def _generate_textcard_notification(self, announcements: List[Announcement],
max_count: int) -> tuple[str, str, str]:
"""
生成文本卡片格式的通知内容
Args:
announcements: 公告列表
max_count: 最大显示数量
Returns:
tuple[str, str, str]: (标题, 描述HTML, URL)
"""
# 按日期分组
today_announcements = []
other_announcements = []
today = datetime.now().date()
for announcement in announcements:
if announcement.publish_date and announcement.publish_date.date() == today:
today_announcements.append(announcement)
else:
other_announcements.append(announcement)
# 生成标题
total_count = len(announcements)
title = f"🔔 广西政府采购网公告更新 ({total_count}条)"
# 生成描述HTML
html_parts = []
# 总统计
html_parts.append('<div class="highlight">📊 发现 {total_count} 条新公告</div>'.format(total_count=total_count))
html_parts.append("")
# 今日公告
if today_announcements:
html_parts.append('<div class="normal">🔥 今日公告 ({count}条)</div>'.format(count=len(today_announcements)))
display_today = today_announcements[:max_count//2]
for i, announcement in enumerate(display_today, 1):
# 标题处理
ann_title = announcement.title
if len(ann_title) > 35: # 文本卡片标题较短
ann_title = ann_title[:32] + "..."
# 时间和来源
time_str = announcement.publish_date.strftime("%H:%M") if announcement.publish_date else "N/A"
source = announcement.source_name[:10] # 限制来源名称长度
html_parts.append('{i}. <a href="{url}">{title}</a>'.format(
i=i, url=announcement.content_url, title=ann_title))
html_parts.append('<div class="gray">⏰ {time} | 📍 {source}</div>'.format(
time=time_str, source=source))
if len(today_announcements) > len(display_today):
remaining = len(today_announcements) - len(display_today)
html_parts.append('<div class="gray">还有 {remaining} 条今日公告...</div>'.format(remaining=remaining))
# 其他公告
if other_announcements:
html_parts.append("")
html_parts.append('<div class="normal">📄 其他公告 ({count}条)</div>'.format(count=len(other_announcements)))
remaining_slots = max_count - len(today_announcements) if today_announcements else max_count
display_other = other_announcements[:remaining_slots]
for i, announcement in enumerate(display_other, 1):
ann_title = announcement.title
if len(ann_title) > 30:
ann_title = ann_title[:27] + "..."
date_str = announcement.publish_date.strftime("%m-%d") if announcement.publish_date else "N/A"
html_parts.append('{i}. <a href="{url}">{title}</a> <span class="gray">({date})</span>'.format(
i=i, url=announcement.content_url, title=ann_title, date=date_str))
if len(other_announcements) > len(display_other):
remaining = len(other_announcements) - len(display_other)
html_parts.append('<div class="gray">还有 {remaining} 条历史公告...</div>'.format(remaining=remaining))
# 统计信息
html_parts.append("")
html_parts.append('<div class="normal">📈 数据统计</div>')
# 按来源统计
source_stats = {}
for announcement in announcements:
source = announcement.source_name
source_stats[source] = source_stats.get(source, 0) + 1
html_parts.append('<div class="gray">按来源: {stats}</div>'.format(
stats=" | ".join([f"{source}:{count}" for source, count in sorted(source_stats.items())])))
# 时间戳
update_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
html_parts.append("")
html_parts.append('<div class="gray">🕒 更新时间: {time}</div>'.format(time=update_time))
description = "\n".join(html_parts)
# 限制描述长度(企业微信文本卡片description不超过512字符)
if len(description) > 500:
description = description[:497] + "..."
# 生成跳转URL(可以跳转到公告列表页面或第一条公告)
if announcements:
url = announcements[0].content_url # 默认跳转到第一条公告
else:
url = "https://zfcg.gxzf.gov.cn" # 默认跳转到网站首页
return title, description, url
def send_system_notification(self, title: str, content: str,
message_type: str = "text") -> bool:
"""
发送系统通知
Args:
title: 通知标题
content: 通知内容
message_type: 消息类型 (text/markdown)
Returns:
bool: 发送是否成功
"""
try:
if message_type == "markdown":
full_content = f"# {title}\n\n{content}"
return self.send_markdown_message(full_content)
else:
full_content = f"{title}\n\n{content}"
return self.send_text_message(full_content)
except Exception as e:
logger.error(f"发送系统通知失败: {str(e)}")
return False
def send_error_notification(self, error_message: str, error_details: Optional[str] = None) -> bool:
"""
发送错误通知
Args:
error_message: 错误消息
error_details: 错误详情
Returns:
bool: 发送是否成功
"""
content = f"## ❌ 系统错误\n\n**错误信息**: {error_message}"
if error_details:
content += f"\n\n**错误详情**:\n```\n{error_details}\n```"
content += f"\n\n*发生时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*"
return self.send_markdown_message(content)
def test_connection(self) -> bool:
"""
测试连接
Returns:
bool: 连接是否正常
"""
try:
token = self._get_access_token()
return token is not None
except Exception as e:
logger.error(f"企业微信连接测试失败: {str(e)}")
return False
def get_service_status(self) -> Dict[str, Any]:
"""
获取服务状态
Returns:
Dict[str, Any]: 服务状态信息
"""
return {
"service": "wechat",
"enabled": self.config.enabled,
"corp_id": self.config.corp_id[:10] + "..." if self.config.corp_id else None,
"agent_id": self.config.agent_id,
"has_token": self._access_token is not None,
"token_expires_at": datetime.fromtimestamp(self._token_expires_at).isoformat() if self._token_expires_at > 0 else None,
"use_proxy": self.config.use_proxy,
"connection_test": self.test_connection() if self.config.enabled else False
}
class NotificationManager:
"""通知管理器"""
def __init__(self):
self.wechat = WeChatService()
self._services = {
"wechat": self.wechat
}
def send_announcement_notification(self, announcements: List[Announcement]) -> Dict[str, bool]:
"""
发送公告通知
Args:
announcements: 公告列表
Returns:
Dict[str, bool]: 各服务发送结果
"""
results = {}
# 企业微信通知
if self.wechat.config.enabled:
try:
results["wechat"] = self.wechat.send_announcement_notification(announcements)
except Exception as e:
logger.error(f"企业微信通知失败: {str(e)}")
results["wechat"] = False
else:
results["wechat"] = None # 未启用
return results
def send_system_notification(self, title: str, content: str) -> Dict[str, bool]:
"""
发送系统通知
Args:
title: 通知标题
content: 通知内容
Returns:
Dict[str, bool]: 发送结果
"""
results = {}
if self.wechat.config.enabled:
try:
results["wechat"] = self.wechat.send_system_notification(title, content, "markdown")
except Exception as e:
logger.error(f"企业微信系统通知失败: {str(e)}")
results["wechat"] = False
else:
results["wechat"] = None
return results
def send_error_notification(self, error_message: str, error_details: Optional[str] = None) -> Dict[str, bool]:
"""
发送错误通知
Args:
error_message: 错误消息
error_details: 错误详情
Returns:
Dict[str, bool]: 发送结果
"""
results = {}
if self.wechat.config.enabled:
try:
results["wechat"] = self.wechat.send_error_notification(error_message, error_details)
except Exception as e:
logger.error(f"企业微信错误通知失败: {str(e)}")
results["wechat"] = False
else:
results["wechat"] = None
return results
def get_status(self) -> Dict[str, Any]:
"""
获取通知服务状态
Returns:
Dict[str, Any]: 服务状态
"""
return {
"services": {
name: service.get_service_status() for name, service in self._services.items()
}
}
# 全局通知管理器实例
_notification_manager = None
def get_notification_manager() -> NotificationManager:
"""
获取通知管理器实例
Returns:
NotificationManager: 通知管理器实例
"""
global _notification_manager
if _notification_manager is None:
_notification_manager = NotificationManager()
return _notification_manager
def send_announcements_notification(announcements: List[Announcement]) -> bool:
"""
发送公告通知
Args:
announcements: 公告列表
Returns:
bool: 是否至少有一个服务发送成功
"""
manager = get_notification_manager()
results = manager.send_announcement_notification(announcements)
# 检查是否有服务发送成功
return any(result for result in results.values() if result is True)
def send_system_notification(title: str, content: str) -> bool:
"""
发送系统通知
Args:
title: 通知标题
content: 通知内容
Returns:
bool: 是否至少有一个服务发送成功
"""
manager = get_notification_manager()
results = manager.send_system_notification(title, content)
return any(result for result in results.values() if result is True)
def send_error_alert(error_message: str, error_details: Optional[str] = None) -> bool:
"""
发送错误警报
Args:
error_message: 错误消息
error_details: 错误详情
Returns:
bool: 是否至少有一个服务发送成功
"""
manager = get_notification_manager()
results = manager.send_error_notification(error_message, error_details)
return any(result for result in results.values() if result is True)
-555
View File
@@ -1,555 +0,0 @@
"""
企业微信通知模块
提供企业微信消息发送功能,支持文本和Markdown格式
"""
import requests
import json
import time
import hashlib
from typing import Optional, Dict, Any, List
from datetime import datetime
try:
from ..core.config_manager import get_config
from ..core.logger import get_logger
from ..core.models import Announcement
from ..core.reliability import retry_on_exception, RetryConfig, safe_execute
from ..storage.md_generator import AnnouncementMarkdownFormatter
except ImportError:
from core.config_manager import get_config
from core.logger import get_logger
from core.models import Announcement
from core.reliability import retry_on_exception, RetryConfig, safe_execute
from storage.md_generator import AnnouncementMarkdownFormatter
logger = get_logger(__name__)
class WeChatService:
"""企业微信服务"""
def __init__(self):
self.config = get_config().wechat_app
self._access_token = None
self._token_expires_at = 0
logger.info("企业微信服务初始化完成")
def _get_access_token(self) -> Optional[str]:
"""
获取访问令牌
Returns:
Optional[str]: 访问令牌
"""
current_time = time.time()
# 检查令牌是否仍然有效
if self._access_token and current_time < self._token_expires_at:
return self._access_token
try:
# 构建请求URL
if self.config.use_proxy and hasattr(self.config, 'proxy_api_url'):
url = f"{self.config.proxy_api_url}/cgi-bin/gettoken"
else:
url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
params = {
"corpid": self.config.corp_id,
"corpsecret": self.config.secret
}
logger.debug("正在获取企业微信访问令牌")
response = requests.get(url, params=params, timeout=30)
result = response.json()
if result.get("errcode") == 0:
self._access_token = result.get("access_token")
# 提前5分钟过期
expires_in = result.get("expires_in", 7200) - 300
self._token_expires_at = current_time + expires_in
logger.info("成功获取企业微信访问令牌")
return self._access_token
else:
logger.error(f"获取访问令牌失败: {result}")
return None
except Exception as e:
logger.error(f"获取访问令牌异常: {str(e)}")
return None
@retry_on_exception(RetryConfig(max_retries=3))
def send_text_message(self, content: str,
to_user: str = "@all",
to_party: str = "",
to_tag: str = "") -> bool:
"""
发送文本消息
Args:
content: 消息内容
to_user: 接收者用户ID,多个用|分隔,@all表示全体
to_party: 接收者部门ID,多个用|分隔
to_tag: 接收者标签ID,多个用|分隔
Returns:
bool: 发送是否成功
"""
try:
access_token = self._get_access_token()
if not access_token:
logger.error("无法获取访问令牌,发送失败")
return False
# 构建请求URL
if self.config.use_proxy and hasattr(self.config, 'proxy_api_url'):
url = f"{self.config.proxy_api_url}/cgi-bin/message/send"
else:
url = "https://qyapi.weixin.qq.com/cgi-bin/message/send"
params = {"access_token": access_token}
data = {
"touser": to_user,
"toparty": to_party,
"totag": to_tag,
"msgtype": "text",
"agentid": self.config.agent_id,
"text": {
"content": content
}
}
logger.debug(f"发送文本消息: {content[:100]}...")
response = requests.post(url, params=params, json=data, timeout=30)
result = response.json()
if result.get("errcode") == 0:
logger.info("文本消息发送成功")
return True
else:
logger.error(f"文本消息发送失败: {result}")
return False
except Exception as e:
logger.error(f"发送文本消息异常: {str(e)}")
return False
@retry_on_exception(RetryConfig(max_retries=3))
def send_markdown_message(self, content: str,
to_user: str = "@all",
to_party: str = "",
to_tag: str = "") -> bool:
"""
发送Markdown消息
Args:
content: Markdown格式的消息内容
to_user: 接收者用户ID
to_party: 接收者部门ID
to_tag: 接收者标签ID
Returns:
bool: 发送是否成功
"""
try:
access_token = self._get_access_token()
if not access_token:
logger.error("无法获取访问令牌,发送失败")
return False
# 构建请求URL
if self.config.use_proxy and hasattr(self.config, 'proxy_api_url'):
url = f"{self.config.proxy_api_url}/cgi-bin/message/send"
else:
url = "https://qyapi.weixin.qq.com/cgi-bin/message/send"
params = {"access_token": access_token}
data = {
"touser": to_user,
"toparty": to_party,
"totag": to_tag,
"msgtype": "markdown",
"agentid": self.config.agent_id,
"markdown": {
"content": content
}
}
logger.debug("发送Markdown消息")
response = requests.post(url, params=params, json=data, timeout=30)
result = response.json()
if result.get("errcode") == 0:
logger.info("Markdown消息发送成功")
return True
else:
logger.error(f"Markdown消息发送失败: {result}")
return False
except Exception as e:
logger.error(f"发送Markdown消息异常: {str(e)}")
return False
def send_announcement_notification(self, announcements: List[Announcement],
max_count: int = 20) -> bool:
"""
发送公告通知
Args:
announcements: 公告列表
max_count: 最大显示数量
Returns:
bool: 发送是否成功
"""
if not announcements:
logger.info("没有新公告,跳过通知")
return True
try:
# 生成通知内容
notification_content = self._generate_announcement_notification(announcements, max_count)
# 发送Markdown消息
return self.send_markdown_message(notification_content)
except Exception as e:
logger.error(f"发送公告通知失败: {str(e)}")
return False
def _generate_announcement_notification(self, announcements: List[Announcement],
max_count: int) -> str:
"""
生成公告通知内容
Args:
announcements: 公告列表
max_count: 最大显示数量
Returns:
str: Markdown格式的通知内容
"""
# 按日期分组
today_announcements = []
other_announcements = []
today = datetime.now().date()
for announcement in announcements:
if announcement.publish_date and announcement.publish_date.date() == today:
today_announcements.append(announcement)
else:
other_announcements.append(announcement)
lines = []
# 标题
total_count = len(announcements)
lines.append(f"# 🔔 广西政府采购网公告更新")
lines.append("")
lines.append(f"**发现 {total_count} 条新公告**")
lines.append("")
# 今日公告
if today_announcements:
lines.append(f"## 📅 今日公告 ({len(today_announcements)}条)")
lines.append("")
display_today = today_announcements[:max_count//2]
for announcement in display_today:
title = announcement.title
if len(title) > 40:
title = title[:40] + "..."
publish_time = announcement.publish_date.strftime("%H:%M") if announcement.publish_date else "N/A"
lines.append(f"• [{title}]({announcement.content_url}) - {publish_time}")
if len(today_announcements) > len(display_today):
lines.append(f"• ... 还有 {len(today_announcements) - len(display_today)} 条今日公告")
lines.append("")
# 其他公告
if other_announcements:
lines.append(f"## 📄 其他公告 ({len(other_announcements)}条)")
lines.append("")
remaining_slots = max_count - len(today_announcements) if today_announcements else max_count
display_other = other_announcements[:remaining_slots]
for announcement in display_other:
title = announcement.title
if len(title) > 40:
title = title[:40] + "..."
publish_date = announcement.publish_date.strftime("%m-%d") if announcement.publish_date else "N/A"
lines.append(f"• [{title}]({announcement.content_url}) - {publish_date}")
if len(other_announcements) > len(display_other):
lines.append(f"• ... 还有 {len(other_announcements) - len(display_other)} 条公告")
lines.append("")
# 统计信息
source_stats = {}
for announcement in announcements:
source = announcement.source_name
source_stats[source] = source_stats.get(source, 0) + 1
lines.append("## 📊 统计信息")
lines.append("")
for source, count in sorted(source_stats.items()):
lines.append(f"{source}: {count}")
lines.append("")
lines.append("---")
lines.append("")
lines.append(f"*更新时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*")
lines.append("*点击公告标题查看详情*")
return "\n".join(lines)
def send_system_notification(self, title: str, content: str,
message_type: str = "text") -> bool:
"""
发送系统通知
Args:
title: 通知标题
content: 通知内容
message_type: 消息类型 (text/markdown)
Returns:
bool: 发送是否成功
"""
try:
if message_type == "markdown":
full_content = f"# {title}\n\n{content}"
return self.send_markdown_message(full_content)
else:
full_content = f"{title}\n\n{content}"
return self.send_text_message(full_content)
except Exception as e:
logger.error(f"发送系统通知失败: {str(e)}")
return False
def send_error_notification(self, error_message: str, error_details: Optional[str] = None) -> bool:
"""
发送错误通知
Args:
error_message: 错误消息
error_details: 错误详情
Returns:
bool: 发送是否成功
"""
content = f"## ❌ 系统错误\n\n**错误信息**: {error_message}"
if error_details:
content += f"\n\n**错误详情**:\n```\n{error_details}\n```"
content += f"\n\n*发生时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*"
return self.send_markdown_message(content)
def test_connection(self) -> bool:
"""
测试连接
Returns:
bool: 连接是否正常
"""
try:
token = self._get_access_token()
return token is not None
except Exception as e:
logger.error(f"企业微信连接测试失败: {str(e)}")
return False
def get_service_status(self) -> Dict[str, Any]:
"""
获取服务状态
Returns:
Dict[str, Any]: 服务状态信息
"""
return {
"service": "wechat",
"enabled": self.config.enabled,
"corp_id": self.config.corp_id[:10] + "..." if self.config.corp_id else None,
"agent_id": self.config.agent_id,
"has_token": self._access_token is not None,
"token_expires_at": datetime.fromtimestamp(self._token_expires_at).isoformat() if self._token_expires_at > 0 else None,
"use_proxy": self.config.use_proxy,
"connection_test": self.test_connection() if self.config.enabled else False
}
class NotificationManager:
"""通知管理器"""
def __init__(self):
self.wechat = WeChatService()
self._services = {
"wechat": self.wechat
}
def send_announcement_notification(self, announcements: List[Announcement]) -> Dict[str, bool]:
"""
发送公告通知
Args:
announcements: 公告列表
Returns:
Dict[str, bool]: 各服务发送结果
"""
results = {}
# 企业微信通知
if self.wechat.config.enabled:
try:
results["wechat"] = self.wechat.send_announcement_notification(announcements)
except Exception as e:
logger.error(f"企业微信通知失败: {str(e)}")
results["wechat"] = False
else:
results["wechat"] = None # 未启用
return results
def send_system_notification(self, title: str, content: str) -> Dict[str, bool]:
"""
发送系统通知
Args:
title: 通知标题
content: 通知内容
Returns:
Dict[str, bool]: 发送结果
"""
results = {}
if self.wechat.config.enabled:
try:
results["wechat"] = self.wechat.send_system_notification(title, content, "markdown")
except Exception as e:
logger.error(f"企业微信系统通知失败: {str(e)}")
results["wechat"] = False
else:
results["wechat"] = None
return results
def send_error_notification(self, error_message: str, error_details: Optional[str] = None) -> Dict[str, bool]:
"""
发送错误通知
Args:
error_message: 错误消息
error_details: 错误详情
Returns:
Dict[str, bool]: 发送结果
"""
results = {}
if self.wechat.config.enabled:
try:
results["wechat"] = self.wechat.send_error_notification(error_message, error_details)
except Exception as e:
logger.error(f"企业微信错误通知失败: {str(e)}")
results["wechat"] = False
else:
results["wechat"] = None
return results
def get_status(self) -> Dict[str, Any]:
"""
获取通知服务状态
Returns:
Dict[str, Any]: 服务状态
"""
return {
"services": {
name: service.get_service_status() for name, service in self._services.items()
}
}
# 全局通知管理器实例
_notification_manager = None
def get_notification_manager() -> NotificationManager:
"""
获取通知管理器实例
Returns:
NotificationManager: 通知管理器实例
"""
global _notification_manager
if _notification_manager is None:
_notification_manager = NotificationManager()
return _notification_manager
def send_announcements_notification(announcements: List[Announcement]) -> bool:
"""
发送公告通知
Args:
announcements: 公告列表
Returns:
bool: 是否至少有一个服务发送成功
"""
manager = get_notification_manager()
results = manager.send_announcement_notification(announcements)
# 检查是否有服务发送成功
return any(result for result in results.values() if result is True)
def send_system_notification(title: str, content: str) -> bool:
"""
发送系统通知
Args:
title: 通知标题
content: 通知内容
Returns:
bool: 是否至少有一个服务发送成功
"""
manager = get_notification_manager()
results = manager.send_system_notification(title, content)
return any(result for result in results.values() if result is True)
def send_error_alert(error_message: str, error_details: Optional[str] = None) -> bool:
"""
发送错误警报
Args:
error_message: 错误消息
error_details: 错误详情
Returns:
bool: 是否至少有一个服务发送成功
"""
manager = get_notification_manager()
results = manager.send_error_notification(error_message, error_details)
return any(result for result in results.values() if result is True)
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# 广西政府采购网公告监控
**更新时间**: 2026-01-08 08:17:34
## 无新公告
当前时间范围内没有找到符合条件的公告。
---
*由广西政府采购网公告监控系统生成*
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# 广西政府采购网公告监控系统依赖包
# 核心依赖
requests>=2.28.0 # HTTP请求库
psycopg2-binary>=2.9.0 # PostgreSQL数据库驱动
PyYAML>=6.0 # YAML配置文件解析
python-dateutil>=2.8.0 # 日期时间处理
# 爬虫相关
fake-useragent>=1.1.0 # 随机User-Agent生成
lxml>=4.9.0 # XML/HTML解析(备用)
# 调度器
schedule>=1.2.0 # 定时任务调度
croniter>=1.4.0 # Cron表达式解析
# 日志和监控
logging>=0.4.9.6 # 日志处理(Python内置)
colorama>=0.4.6 # 控制台颜色输出(可选,用于彩色日志)
# 数据处理
pandas>=1.5.0 # 数据处理(可选,用于复杂数据分析)
openpyxl>=3.0.10 # Excel文件处理(可选)
# 加密和安全
cryptography>=39.0.0 # 加密库(用于微信消息加密)
pycryptodome>=3.17.0 # 加密算法库
# Web框架(企业微信回调服务器)
flask>=2.3.0 # Web框架
# 可选依赖(根据需要安装)
# redis>=4.5.0 # Redis缓存(如果需要)
# sqlalchemy>=2.0.0 # ORM(如果需要更复杂的数据库操作)
# celery>=5.3.0 # 分布式任务队列(如果需要)
# 开发依赖(仅开发环境需要)
# pytest>=7.2.0 # 测试框架
# black>=23.0.0 # 代码格式化
# flake8>=6.0.0 # 代码检查
# mypy>=1.0.0 # 类型检查
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"""调度模块"""
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"""
调度器模块
提供定时任务调度功能,支持cron表达式和间隔执行
"""
import time
import threading
from datetime import datetime, timedelta
from typing import Callable, Dict, Any, Optional, List
import schedule
from croniter import croniter
try:
from ..core.config_manager import get_config
from ..core.logger import get_logger
except ImportError:
from core.config_manager import get_config
from core.logger import get_logger
logger = get_logger(__name__)
class TaskScheduler:
"""任务调度器"""
def __init__(self):
self.config = get_config().scheduler
self._running = False
self._thread = None
self._jobs = {}
self._job_stats = {}
# 初始化调度
if self.config.enabled:
self._load_jobs_from_config()
def _load_jobs_from_config(self):
"""从配置加载定时任务"""
for job_config in self.config.jobs:
if job_config.get("enabled", False):
job_name = job_config["name"]
cron_expr = job_config["cron"]
# 根据任务名称创建对应的任务函数
if job_name == "daily_crawl":
func = self._create_crawl_job()
elif job_name == "data_cleanup":
func = self._create_cleanup_job()
else:
logger.warning(f"未知的任务类型: {job_name}")
continue
self.add_cron_job(job_name, cron_expr, func)
def _create_crawl_job(self) -> Callable:
"""创建爬取任务"""
def crawl_job():
try:
logger.info("开始执行定时爬取任务")
# 导入这里避免循环导入
try:
from ..crawler.spider import crawl_announcements
from ..filters.filters import filter_from_config
from ..storage.postgresql import save_announcements_to_storage
from ..storage.md_generator import generate_onu_md
from ..notification.wechat import send_announcements_notification
except ImportError:
from crawler.spider import crawl_announcements
from filters.filters import filter_from_config
from storage.postgresql import save_announcements_to_storage
from storage.md_generator import generate_onu_md
from notification.wechat import send_announcements_notification
# 执行爬取
crawl_results = crawl_announcements()
if not crawl_results:
logger.info("定时爬取任务完成:无数据")
return
# 收集所有公告
all_announcements = []
for result in crawl_results:
if result.announcements:
all_announcements.extend(result.announcements)
if not all_announcements:
logger.info("定时爬取任务完成:无新公告")
return
# 筛选公告
filter_obj = filter_from_config()
filtered_announcements, filter_stats = filter_obj.filter(all_announcements)
logger.info(f"筛选结果: {len(all_announcements)} -> {len(filtered_announcements)}")
# 保存到数据库
saved_count = save_announcements_to_storage(filtered_announcements)
# 生成Markdown文件
generate_onu_md(filtered_announcements)
# 发送通知
if filtered_announcements:
send_announcements_notification(filtered_announcements)
logger.info(f"定时爬取任务完成:处理 {len(filtered_announcements)} 条公告,保存 {saved_count}")
except Exception as e:
logger.error(f"定时爬取任务执行失败: {str(e)}")
# 发送错误通知
from ..notification.wechat import send_error_alert
send_error_alert("定时爬取任务失败", str(e))
return crawl_job
def _create_cleanup_job(self) -> Callable:
"""创建数据清理任务"""
def cleanup_job():
try:
logger.info("开始执行数据清理任务")
try:
from ..storage.postgresql import cleanup_storage
except ImportError:
from storage.postgresql import cleanup_storage
# 执行清理
deleted_count = cleanup_storage()
logger.info(f"数据清理任务完成:删除 {deleted_count} 条过期数据")
# 发送通知(如果删除的数据较多)
if deleted_count > 0:
try:
from ..notification.wechat import send_system_notification
except ImportError:
from notification.wechat import send_system_notification
send_system_notification(
"数据清理完成",
f"已清理 {deleted_count} 条过期数据"
)
except Exception as e:
logger.error(f"数据清理任务执行失败: {str(e)}")
return cleanup_job
def add_cron_job(self, name: str, cron_expr: str, func: Callable) -> bool:
"""
添加cron定时任务
Args:
name: 任务名称
cron_expr: cron表达式
func: 任务函数
Returns:
bool: 添加是否成功
"""
try:
# 验证cron表达式
croniter(cron_expr)
# 添加到schedule
schedule.every().day.at("00:00").do(func) # 临时设置,会被替换
# 存储任务信息
self._jobs[name] = {
"func": func,
"cron": cron_expr,
"next_run": None,
"last_run": None,
"run_count": 0,
"error_count": 0
}
logger.info(f"添加定时任务: {name} ({cron_expr})")
return True
except Exception as e:
logger.error(f"添加定时任务失败 {name}: {str(e)}")
return False
def add_interval_job(self, name: str, interval_seconds: int, func: Callable) -> bool:
"""
添加间隔执行任务
Args:
name: 任务名称
interval_seconds: 执行间隔(秒)
func: 任务函数
Returns:
bool: 添加是否成功
"""
try:
schedule.every(interval_seconds).seconds.do(func)
self._jobs[name] = {
"func": func,
"interval": interval_seconds,
"next_run": None,
"last_run": None,
"run_count": 0,
"error_count": 0
}
logger.info(f"添加间隔任务: {name} ({interval_seconds}秒)")
return True
except Exception as e:
logger.error(f"添加间隔任务失败 {name}: {str(e)}")
return False
def remove_job(self, name: str) -> bool:
"""
移除任务
Args:
name: 任务名称
Returns:
bool: 移除是否成功
"""
if name in self._jobs:
# 注意:schedule库没有直接的移除方法
# 这里只是从我们的记录中移除
del self._jobs[name]
logger.info(f"移除任务: {name}")
return True
return False
def start(self):
"""启动调度器"""
if self._running:
logger.warning("调度器已经在运行中")
return
if not self.config.enabled:
logger.info("调度器已禁用")
return
self._running = True
self._thread = threading.Thread(target=self._run_scheduler, daemon=True)
self._thread.start()
logger.info("调度器已启动")
def stop(self):
"""停止调度器"""
if not self._running:
return
self._running = False
if self._thread and self._thread.is_alive():
self._thread.join(timeout=5)
logger.info("调度器已停止")
def _run_scheduler(self):
"""运行调度器主循环"""
logger.info("调度器主循环开始")
while self._running:
try:
schedule.run_pending()
time.sleep(1)
except Exception as e:
logger.error(f"调度器运行异常: {str(e)}")
time.sleep(5) # 出错后等待5秒再继续
logger.info("调度器主循环结束")
def run_once(self, job_name: Optional[str] = None):
"""
手动执行任务一次
Args:
job_name: 任务名称,如果为None则执行所有任务
"""
if job_name:
if job_name in self._jobs:
job_info = self._jobs[job_name]
logger.info(f"手动执行任务: {job_name}")
try:
job_info["func"]()
job_info["run_count"] += 1
job_info["last_run"] = datetime.now()
logger.info(f"任务 {job_name} 执行完成")
except Exception as e:
job_info["error_count"] += 1
logger.error(f"任务 {job_name} 执行失败: {str(e)}")
else:
logger.error(f"任务不存在: {job_name}")
else:
# 执行所有任务
for name in list(self._jobs.keys()):
self.run_once(name)
def get_status(self) -> Dict[str, Any]:
"""
获取调度器状态
Returns:
Dict[str, Any]: 状态信息
"""
jobs_status = {}
for name, job_info in self._jobs.items():
jobs_status[name] = {
"enabled": True,
"run_count": job_info.get("run_count", 0),
"error_count": job_info.get("error_count", 0),
"last_run": job_info.get("last_run").isoformat() if job_info.get("last_run") else None,
"next_run": job_info.get("next_run").isoformat() if job_info.get("next_run") else None
}
return {
"enabled": self.config.enabled,
"running": self._running,
"timezone": self.config.timezone,
"jobs": jobs_status
}
def is_running(self) -> bool:
"""检查调度器是否正在运行"""
return self._running
# 全局调度器实例
_scheduler = None
def get_scheduler() -> TaskScheduler:
"""
获取调度器实例
Returns:
TaskScheduler: 调度器实例
"""
global _scheduler
if _scheduler is None:
_scheduler = TaskScheduler()
return _scheduler
def start_scheduler():
"""启动调度器"""
scheduler = get_scheduler()
scheduler.start()
def stop_scheduler():
"""停止调度器"""
scheduler = get_scheduler()
scheduler.stop()
def run_scheduled_jobs(job_name: Optional[str] = None):
"""
手动执行定时任务
Args:
job_name: 任务名称
"""
scheduler = get_scheduler()
scheduler.run_once(job_name)
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"""存储模块"""
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"""
Markdown生成器模块
生成公告的Markdown格式输出文件
"""
import os
from pathlib import Path
from typing import List, Dict, Any, Optional
from datetime import datetime
from collections import defaultdict
try:
from ..core.models import Announcement
from ..core.config_manager import get_config
from ..core.logger import get_logger
except ImportError:
from core.models import Announcement
from core.config_manager import get_config
from core.logger import get_logger
logger = get_logger(__name__)
class MarkdownGenerator:
"""Markdown生成器"""
def __init__(self, output_file: Optional[str] = None):
"""
初始化Markdown生成器
Args:
output_file: 输出文件路径
"""
self.config = get_config()
self.output_file = output_file or self.config.markdown.output_file
self.max_entries = self.config.markdown.max_entries
self.include_today_highlight = self.config.markdown.include_today_highlight
# 确保输出目录存在
output_path = Path(self.output_file)
output_path.parent.mkdir(parents=True, exist_ok=True)
def generate_markdown(self, announcements: List[Announcement],
title: str = "广西政府采购网公告监控") -> str:
"""
生成Markdown内容
Args:
announcements: 公告列表
title: 文档标题
Returns:
str: Markdown格式的文本
"""
if not announcements:
return self._generate_empty_markdown(title)
# 按来源分组
grouped_announcements = self._group_announcements_by_source(announcements)
# 生成Markdown
lines = []
lines.append(f"# {title}")
lines.append("")
lines.append(f"**更新时间**: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
lines.append(f"**总公告数**: {len(announcements)}")
lines.append("")
# 生成目录
lines.extend(self._generate_toc(grouped_announcements))
lines.append("---")
lines.append("")
# 生成各来源的公告
for source_name, source_announcements in grouped_announcements.items():
lines.extend(self._generate_source_section(source_name, source_announcements))
lines.append("")
return "\n".join(lines)
def _group_announcements_by_source(self, announcements: List[Announcement]) -> Dict[str, List[Announcement]]:
"""按来源分组公告"""
grouped = defaultdict(list)
for announcement in announcements:
grouped[announcement.source_name].append(announcement)
# 对每个组内的公告按时间倒序排列
for source_name in grouped:
grouped[source_name].sort(key=lambda x: x.publish_date, reverse=True)
return dict(grouped)
def _generate_toc(self, grouped_announcements: Dict[str, List[Announcement]]) -> List[str]:
"""生成目录"""
lines = ["## 目录", ""]
for source_name, announcements in grouped_announcements.items():
# 创建锚点链接
anchor = self._create_anchor(source_name)
count = len(announcements)
lines.append(f"- [{source_name}](#{anchor}) ({count}条)")
return lines
def _generate_source_section(self, source_name: str, announcements: List[Announcement]) -> List[str]:
"""生成来源章节"""
lines = []
anchor = self._create_anchor(source_name)
lines.append(f"## {source_name}")
lines.append("")
lines.append(f"**共 {len(announcements)} 条公告**")
lines.append("")
# 生成公告列表
for i, announcement in enumerate(announcements, 1):
lines.extend(self._generate_announcement_item(announcement, i))
return lines
def _generate_announcement_item(self, announcement: Announcement, index: int) -> List[str]:
"""生成单个公告项"""
lines = []
# 公告标题
title_prefix = ""
if self.include_today_highlight and announcement.is_today:
title_prefix = "🆕 **【今日】**"
title_line = f"### {index}. {title_prefix}[{announcement.title}]({announcement.content_url})"
lines.append(title_line)
lines.append("")
# 公告信息
info_items = []
if announcement.publish_date:
publish_date = announcement.publish_date.strftime("%Y-%m-%d")
info_items.append(f"📅 发布时间: {publish_date}")
if announcement.purchase_name:
info_items.append(f"🏢 发布单位: {announcement.purchase_name}")
info_items.append(f"📄 来源: {announcement.source_name}")
if announcement.crawled_at:
crawled_time = announcement.crawled_at.strftime("%m-%d %H:%M")
info_items.append(f"🤖 爬取时间: {crawled_time}")
if info_items:
lines.append(" | ".join(info_items))
lines.append("")
# 如果是新公告,添加标记
if announcement.is_new:
lines.append("*🚀 新公告*")
lines.append("")
lines.append("---")
lines.append("")
return lines
def _generate_empty_markdown(self, title: str) -> str:
"""生成空内容的Markdown"""
lines = [
f"# {title}",
"",
f"**更新时间**: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
"",
"## 无新公告",
"",
"当前时间范围内没有找到符合条件的公告。",
"",
"---",
"",
f"*由广西政府采购网公告监控系统生成*"
]
return "\n".join(lines)
def _create_anchor(self, text: str) -> str:
"""创建锚点链接"""
# 移除特殊字符,替换空格为连字符,转为小写
import re
anchor = re.sub(r'[^\w\s-]', '', text)
anchor = re.sub(r'[-\s]+', '-', anchor)
return anchor.lower().strip('-')
def save_to_file(self, announcements: List[Announcement],
title: Optional[str] = None) -> bool:
"""
保存Markdown到文件
Args:
announcements: 公告列表
title: 文档标题
Returns:
bool: 保存是否成功
"""
try:
markdown_content = self.generate_markdown(announcements, title)
with open(self.output_file, 'w', encoding='utf-8') as f:
f.write(markdown_content)
logger.info(f"Markdown文件已保存到: {self.output_file} (共 {len(announcements)} 条公告)")
return True
except Exception as e:
logger.error(f"保存Markdown文件失败: {str(e)}")
return False
def append_to_file(self, new_announcements: List[Announcement]) -> bool:
"""
追加新公告到现有文件
Args:
new_announcements: 新公告列表
Returns:
bool: 追加是否成功
"""
if not new_announcements:
return True
try:
# 读取现有文件
existing_content = ""
if os.path.exists(self.output_file):
with open(self.output_file, 'r', encoding='utf-8') as f:
existing_content = f.read()
# 如果文件不存在或为空,创建新文件
if not existing_content.strip():
return self.save_to_file(new_announcements)
# 解析现有公告(这里简化处理,实际可能需要更复杂的解析)
# 为简单起见,我们重新生成完整文件
logger.info("重新生成完整Markdown文件")
return self.save_to_file(new_announcements)
except Exception as e:
logger.error(f"追加公告到Markdown文件失败: {str(e)}")
return False
def get_file_stats(self) -> Dict[str, Any]:
"""获取文件统计信息"""
stats = {
"file_exists": False,
"file_size": 0,
"last_modified": None,
"announcement_count": 0
}
try:
if os.path.exists(self.output_file):
file_stat = os.stat(self.output_file)
stats["file_exists"] = True
stats["file_size"] = file_stat.st_size
stats["last_modified"] = datetime.fromtimestamp(file_stat.st_mtime).isoformat()
# 尝试统计公告数量(简单计数)
with open(self.output_file, 'r', encoding='utf-8') as f:
content = f.read()
# 统计###开头的行(每个公告的标题行)
stats["announcement_count"] = content.count("### ")
except Exception as e:
logger.warning(f"获取文件统计信息失败: {str(e)}")
return stats
class AnnouncementMarkdownFormatter:
"""公告Markdown格式化器"""
@staticmethod
def format_announcement_card(announcement: Announcement) -> str:
"""格式化单个公告为卡片样式"""
lines = []
# 标题
emoji = "🆕" if announcement.is_today else "📄"
lines.append(f"### {emoji} {announcement.title}")
lines.append("")
# 链接
lines.append(f"[查看详情]({announcement.content_url})")
lines.append("")
# 信息表格
lines.append("| 属性 | 值 |")
lines.append("|------|-----|")
if announcement.publish_date:
lines.append(f"| 发布时间 | {announcement.publish_date.strftime('%Y-%m-%d %H:%M')} |")
lines.append(f"| 发布单位 | {announcement.purchase_name or 'N/A'} |")
lines.append(f"| 来源 | {announcement.source_name} |")
lines.append(f"| 公告类型 | {announcement.announcement_type.value} |")
if announcement.crawled_at:
lines.append(f"| 爬取时间 | {announcement.crawled_at.strftime('%m-%d %H:%M')} |")
lines.append("")
return "\n".join(lines)
@staticmethod
def format_announcement_list(announcements: List[Announcement]) -> str:
"""格式化公告列表"""
if not announcements:
return "*暂无公告*"
lines = []
for announcement in announcements:
emoji = "🆕" if announcement.is_today else ""
publish_date = announcement.publish_date.strftime("%m-%d") if announcement.publish_date else "N/A"
line = f"{emoji} [{announcement.title}]({announcement.content_url}) - {publish_date}"
lines.append(line)
return "\n".join(lines)
@staticmethod
def format_notification_message(announcements: List[Announcement],
max_count: int = 10) -> str:
"""格式化为通知消息"""
if not announcements:
return "暂无新公告"
# 只显示前N条
display_announcements = announcements[:max_count]
remaining_count = len(announcements) - max_count
lines = [f"🔔 发现 {len(announcements)} 条新公告:", ""]
for announcement in display_announcements:
title = announcement.title[:50] + "..." if len(announcement.title) > 50 else announcement.title
publish_date = announcement.publish_date.strftime("%m-%d") if announcement.publish_date else "N/A"
lines.append(f"{title} ({publish_date})")
if remaining_count > 0:
lines.append(f"... 还有 {remaining_count} 条公告")
lines.append("")
lines.append("*点击公告标题查看详情*")
return "\n".join(lines)
def create_markdown_generator(output_file: Optional[str] = None) -> MarkdownGenerator:
"""
创建Markdown生成器实例
Args:
output_file: 输出文件路径
Returns:
MarkdownGenerator: 生成器实例
"""
return MarkdownGenerator(output_file)
def generate_onu_md(announcements: List[Announcement]) -> bool:
"""
生成onu.md文件
Args:
announcements: 公告列表
Returns:
bool: 生成是否成功
"""
generator = create_markdown_generator()
return generator.save_to_file(announcements, "广西政府采购网公告监控")
def update_onu_md(new_announcements: List[Announcement]) -> bool:
"""
更新onu.md文件,追加新公告
Args:
new_announcements: 新公告列表
Returns:
bool: 更新是否成功
"""
generator = create_markdown_generator()
# 如果文件不存在,创建新文件
if not os.path.exists(generator.output_file):
return generator.save_to_file(new_announcements)
# 否则追加新公告
return generator.append_to_file(new_announcements)
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@@ -1,489 +0,0 @@
"""
PostgreSQL存储模块
实现公告数据的PostgreSQL存储和管理
"""
from typing import List, Dict, Any, Optional
from datetime import datetime, timedelta
import threading
from dataclasses import asdict
try:
from ..core.models import Announcement, CrawlResult
from ..core.database import get_database_manager, init_database
from ..core.logger import get_logger
from ..core.reliability import retry_on_exception, RetryConfig, safe_execute
except ImportError:
from core.models import Announcement, CrawlResult
from core.database import get_database_manager, init_database
from core.logger import get_logger
from core.reliability import retry_on_exception, RetryConfig, safe_execute
logger = get_logger(__name__)
class PostgreSQLStorage:
"""PostgreSQL存储管理器"""
def __init__(self):
self.db_manager = get_database_manager()
self._lock = threading.Lock()
def save_announcements(self, announcements: List[Announcement]) -> int:
"""
保存公告列表到数据库(经过筛选的公告)
Args:
announcements: 公告列表
Returns:
int: 成功保存的数量
"""
if not announcements:
return 0
logger.info(f"开始保存 {len(announcements)} 条筛选后公告到数据库")
try:
# 批量保存
saved_count = self.db_manager.save_announcements_batch(announcements)
if saved_count > 0:
logger.info(f"成功保存 {saved_count} 条筛选后公告到数据库")
# 标记新公告
self._mark_new_announcements(announcements[:saved_count])
return saved_count
except Exception as e:
logger.error(f"保存筛选后公告到数据库失败: {str(e)}")
# 尝试逐个保存
return self._save_announcements_fallback(announcements)
def save_all_announcements_by_source(self, announcements: List[Announcement],
max_per_source: int = 100) -> Dict[str, int]:
"""
按来源保存所有公告,每个来源保留最新的max_per_source条
Args:
announcements: 所有公告列表(未经关键词筛选)
max_per_source: 每个来源最大保留数量
Returns:
Dict[str, int]: 各来源保存的数量
"""
if not announcements:
return {}
logger.info(f"开始按来源保存 {len(announcements)} 条公告,每个来源最多保留 {max_per_source}")
try:
# 按来源分组
source_groups = {}
for announcement in announcements:
source_code = announcement.source_code
if source_code not in source_groups:
source_groups[source_code] = []
source_groups[source_code].append(announcement)
saved_stats = {}
for source_code, source_announcements in source_groups.items():
# 对每个来源的公告按发布时间排序(最新的在前)
sorted_announcements = sorted(
source_announcements,
key=lambda x: x.publish_date or x.crawled_at or datetime.min,
reverse=True
)
# 取最新的max_per_source条
to_save = sorted_announcements[:max_per_source]
# 为这些公告生成哈希
for announcement in to_save:
if not announcement.content_hash:
announcement.generate_content_hash()
# 批量保存
saved_count = self.db_manager.save_announcements_batch(to_save)
saved_stats[source_code] = saved_count
# 清理该来源超出限制的旧数据
if len(sorted_announcements) > max_per_source:
self._cleanup_old_announcements_by_source(source_code, max_per_source)
logger.info(f"来源 {source_code} 保存了 {saved_count} 条公告")
total_saved = sum(saved_stats.values())
logger.info(f"按来源保存完成,总计保存 {total_saved} 条公告")
return saved_stats
except Exception as e:
logger.error(f"按来源保存公告失败: {str(e)}")
return {}
def _cleanup_old_announcements_by_source(self, source_code: str, keep_count: int):
"""
清理指定来源超出限制的旧公告
Args:
source_code: 来源代码
keep_count: 保留数量
"""
try:
# 使用窗口函数删除超出限制的记录
sql = """
DELETE FROM announcements
WHERE source_code = %s
AND id IN (
SELECT id FROM (
SELECT id,
ROW_NUMBER() OVER (ORDER BY publish_date DESC, crawled_at DESC) as rn
FROM announcements
WHERE source_code = %s
) ranked
WHERE rn > %s
)
"""
with get_db_cursor() as cursor:
cursor.execute(sql, (source_code, source_code, keep_count))
deleted_count = cursor.rowcount
if deleted_count > 0:
logger.debug(f"清理来源 {source_code}{deleted_count} 条旧公告")
except Exception as e:
logger.warning(f"清理来源 {source_code} 旧公告失败: {str(e)}")
except Exception as e:
logger.error(f"按来源保存公告失败: {str(e)}")
return {}
def _save_announcements_fallback(self, announcements: List[Announcement]) -> int:
"""逐个保存公告的降级方案"""
logger.info("使用降级方案逐个保存公告")
saved_count = 0
for announcement in announcements:
try:
if self.db_manager.save_announcement(announcement):
saved_count += 1
except Exception as e:
logger.warning(f"保存公告失败: {announcement.title[:50]}..., 错误: {str(e)}")
continue
logger.info(f"降级保存完成,成功保存 {saved_count} 条公告")
return saved_count
def _mark_new_announcements(self, announcements: List[Announcement]):
"""标记新公告"""
# 这里可以添加新公告标记逻辑
# 由于我们在爬取时已经标记,这里主要是确保数据库中的标记正确
pass
def save_crawl_results(self, results: List[CrawlResult]) -> int:
"""
保存爬取结果
Args:
results: 爬取结果列表
Returns:
int: 成功保存的数量
"""
if not results:
return 0
saved_count = 0
for result in results:
try:
if self.db_manager.save_crawl_result(result):
saved_count += 1
except Exception as e:
logger.warning(f"保存爬取结果失败: {result.source.name}, 错误: {str(e)}")
continue
logger.info(f"保存爬取结果完成: {saved_count}/{len(results)}")
return saved_count
def get_recent_announcements(self, hours: int = 24,
limit: int = 100) -> List[Announcement]:
"""
获取最近的公告
Args:
hours: 最近小时数
limit: 限制数量
Returns:
List[Announcement]: 公告列表
"""
try:
return self.db_manager.get_recent_announcements(hours)
except Exception as e:
logger.error(f"获取最近公告失败: {str(e)}")
return []
def cleanup_expired_data(self, days: Optional[int] = None) -> int:
"""
清理过期数据
Args:
days: 保留天数,如果为None则使用配置默认值
Returns:
int: 清理的记录数
"""
from ..core.config_manager import get_config
config = get_config()
if days is None:
days = config.database.data_retention_days
logger.info(f"开始清理 {days} 天前的过期数据")
try:
deleted_count = self.db_manager.cleanup_expired_data(days)
if deleted_count > 0:
logger.info(f"成功清理 {deleted_count} 条过期数据")
else:
logger.info("没有找到需要清理的过期数据")
return deleted_count
except Exception as e:
logger.error(f"清理过期数据失败: {str(e)}")
return 0
def get_statistics(self) -> Dict[str, Any]:
"""
获取存储统计信息
Returns:
Dict[str, Any]: 统计数据
"""
try:
stats = self.db_manager.get_statistics()
stats.update({
"storage_type": "postgresql",
"last_cleanup": datetime.now().isoformat()
})
return stats
except Exception as e:
logger.error(f"获取存储统计信息失败: {str(e)}")
return {
"storage_type": "postgresql",
"error": str(e),
"total_announcements": 0,
"last_cleanup": datetime.now().isoformat()
}
def search_announcements(self, keyword: Optional[str] = None,
source_code: Optional[str] = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
limit: int = 50) -> List[Announcement]:
"""
搜索公告
Args:
keyword: 关键词
source_code: 来源代码
start_date: 开始日期
end_date: 结束日期
limit: 限制数量
Returns:
List[Announcement]: 搜索结果
"""
# 这里可以实现更复杂的搜索逻辑
# 目前使用现有的查询方法
try:
return self.db_manager.get_announcements(
source_code=source_code,
start_date=start_date,
end_date=end_date,
limit=limit
)
except Exception as e:
logger.error(f"搜索公告失败: {str(e)}")
return []
def is_healthy(self) -> bool:
"""
检查存储健康状态
Returns:
bool: 是否健康
"""
try:
# 尝试执行一个简单的查询
stats = self.get_statistics()
return "error" not in stats
except Exception as e:
logger.error(f"存储健康检查失败: {str(e)}")
return False
def optimize_storage(self):
"""优化存储性能"""
# 这里可以添加数据库优化逻辑,如重建索引、清理碎片等
logger.info("开始优化存储性能")
try:
# 执行一些基本的优化操作
# 注意:实际的优化命令取决于PostgreSQL版本和配置
# 这里可以添加具体的优化SQL
# 例如:VACUUM, REINDEX等
logger.info("存储优化完成")
except Exception as e:
logger.error(f"存储优化失败: {str(e)}")
def backup_data(self, backup_path: Optional[str] = None) -> bool:
"""
备份数据
Args:
backup_path: 备份文件路径
Returns:
bool: 备份是否成功
"""
# 这里可以实现数据备份逻辑
# 可以使用pg_dump或其他备份工具
logger.info("开始备份数据")
try:
# 实现备份逻辑
# 注意:这需要系统权限来执行pg_dump
logger.info("数据备份完成")
return True
except Exception as e:
logger.error(f"数据备份失败: {str(e)}")
return False
class StorageManager:
"""存储管理器"""
def __init__(self):
self.postgresql = PostgreSQLStorage()
self._current_storage = self.postgresql # 默认使用PostgreSQL
def save_announcements(self, announcements: List[Announcement]) -> int:
"""保存筛选后的公告"""
return self._current_storage.save_announcements(announcements)
def save_all_announcements_by_source(self, announcements: List[Announcement],
max_per_source: int = 100) -> Dict[str, int]:
"""按来源保存所有公告"""
return self._current_storage.save_all_announcements_by_source(announcements, max_per_source)
def save_crawl_results(self, results: List[CrawlResult]) -> int:
"""保存爬取结果"""
return self._current_storage.save_crawl_results(results)
def get_recent_announcements(self, hours: int = 24, limit: int = 100) -> List[Announcement]:
"""获取最近公告"""
return self._current_storage.get_recent_announcements(hours, limit)
def cleanup_expired_data(self, days: Optional[int] = None) -> int:
"""清理过期数据"""
return self._current_storage.cleanup_expired_data(days)
def get_statistics(self) -> Dict[str, Any]:
"""获取统计信息"""
return self._current_storage.get_statistics()
def is_healthy(self) -> bool:
"""检查健康状态"""
return self._current_storage.is_healthy()
def optimize(self):
"""优化存储"""
self._current_storage.optimize_storage()
def backup(self, backup_path: Optional[str] = None) -> bool:
"""备份数据"""
return self._current_storage.backup_data(backup_path)
# 全局存储管理器实例
_storage_manager = None
_storage_lock = threading.Lock()
def get_storage_manager() -> StorageManager:
"""
获取存储管理器实例
Returns:
StorageManager: 存储管理器实例
"""
global _storage_manager
if _storage_manager is None:
with _storage_lock:
if _storage_manager is None:
_storage_manager = StorageManager()
return _storage_manager
def init_storage():
"""初始化存储"""
try:
init_database()
logger.info("存储初始化完成")
except Exception as e:
logger.error(f"存储初始化失败: {str(e)}")
raise
def save_announcements_to_storage(announcements: List[Announcement]) -> int:
"""
保存筛选后的公告到存储
Args:
announcements: 公告列表
Returns:
int: 保存成功的数量
"""
return get_storage_manager().save_announcements(announcements)
def save_all_announcements_by_source_to_storage(announcements: List[Announcement],
max_per_source: int = 100) -> Dict[str, int]:
"""
按来源保存所有公告到存储
Args:
announcements: 所有公告列表
max_per_source: 每个来源最大保留数量
Returns:
Dict[str, int]: 各来源保存的数量
"""
return get_storage_manager().save_all_announcements_by_source(announcements, max_per_source)
def cleanup_storage(days: Optional[int] = None) -> int:
"""
清理存储中的过期数据
Args:
days: 保留天数
Returns:
int: 清理的记录数
"""
return get_storage_manager().cleanup_expired_data(days)

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