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>

.env.example

@@ -20,6 +20,9 @@ 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
@@ -30,6 +33,15 @@ LOGHIVE_ENDPOINT=http://10.10.10.14:8000
 LOGHIVE_PROJECT=gx-gp-notify
 LOGHIVE_API_KEY=
 
-# Markdown
+# AI 分析 (DeepSeek)
-MARKDOWN_ENABLED=true
+AI_ENABLED=false
-MARKDOWN_OUTPUT_FILE=onu.md
+# 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...

.gitignore

@@ -14,3 +14,5 @@ gx_gp_monitor/config/config.yaml
 onu.md
 vendor/build/
 vendor/*.egg-info/
+# Added by code-review-graph
+.code-review-graph/

README.md

@@ -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` 为 `.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）
+```

alembic/versions/6e8f4c2d1b0a_add_ai_analysis_columns.py

@@ -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')

app/api/crawl.py

@@ -9,6 +9,9 @@ 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 = []
@@ -46,9 +49,20 @@ async def crawl_sources():
 
     from app.config import settings
     sources = json.loads(settings.announcement_sources)
-    return {
+    result = [
-        "sources": [
         {"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}

app/config.py

@@ -1,5 +1,6 @@
 
 from pydantic_settings import BaseSettings, SettingsConfigDict
+from pydantic import field_validator
 
 
 class Settings(BaseSettings):
@@ -28,6 +29,7 @@ class Settings(BaseSettings):
     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
@@ -38,9 +40,41 @@ class Settings(BaseSettings):
     loghive_project: str = "gx-gp-notify"
     loghive_api_key: str = ""
 
-    # Markdown
+    # AI 分析 (DeepSeek)
-    markdown_enabled: bool = True
+    ai_enabled: bool = False
-    markdown_output_file: str = "onu.md"
+    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

app/crawler/base.py

@@ -9,7 +9,6 @@ class PipelineResult:
     stored: int = 0
     filtered: int = 0
     notified: int = 0
-    markdown_generated: bool = False
 
 
 @dataclass

app/crawler/dahuagov_spider.py

@@ -6,7 +6,7 @@ import httpx
 
 from app.config import settings
 from app.crawler.base import BaseSpider, CrawlResult, PipelineConfig
-from app.crawler.parsers import parse_dahuagov_html
+from app.crawler.parsers import parse_dahuagov_html, parse_dahuagov_detail_pubdate
 
 
 class DahuagovSpider(BaseSpider):
@@ -57,6 +57,8 @@ class DahuagovSpider(BaseSpider):
                 )
 
             announcements = parse_dahuagov_html(html, start_time)
+            await self._fetch_detail_dates(client, announcements, headers)
+
         duration = (datetime.now() - start_time).total_seconds()
 
         return CrawlResult(
@@ -69,6 +71,31 @@ class DahuagovSpider(BaseSpider):
             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)
+

app/crawler/parsers.py

@@ -2,6 +2,9 @@ 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
 
@@ -30,7 +33,7 @@ def parse_gxgp_api_response(
         if not timestamp:
             continue
         try:
-            publish_date = datetime.fromtimestamp(int(timestamp) / 1000)
+            publish_date = datetime.fromtimestamp(int(timestamp) / 1000, tz=_TZ).replace(tzinfo=None)
         except (ValueError, TypeError):
             continue
 
@@ -131,6 +134,188 @@ def parse_dahuagov_html(html: str, crawled_at: datetime) -> list[dict[str, Any]]
     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')}"

app/models/announcement.py

@@ -25,6 +25,8 @@ class Announcement(Base):
     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
 

app/models/schemas.py

@@ -29,6 +29,7 @@ class AnnouncementListResponse(BaseModel):
 
 
 class CrawlTriggerRequest(BaseModel):
+    spider_name: str | None = None
     keywords: list[str] | None = None
     sources: list[str] | None = None
     manual: bool = False

app/services/ai_analyzer.py

@@ -0,0 +1,147 @@
+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}")

app/services/ai_state.py

@@ -0,0 +1,51 @@
+"""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]

app/services/notification_service.py

@@ -17,6 +17,7 @@ class NotificationService:
         sent = 0
         for ann in announcements:
             try:
+                # 发送普通 textcard
                 title = ann.get("title", "")
                 if len(title) > 128:
                     title = title[:125] + "..."
@@ -36,7 +37,42 @@ class NotificationService:
 
                 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)

app/services/pipeline.py

@@ -1,8 +1,13 @@
+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):
@@ -20,24 +25,32 @@ class PostCrawlPipeline:
         if config.dedup_enabled:
             announcements = dedup_by_hash(announcements)
 
-        # 2. Store to database
+        # 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
 
-        # 3. Filter
+        # 4. Filter
         if config.filter_enabled and config.keywords:
             before = len(to_notify)
-            to_notify = [a for a in to_notify
+            to_notify = [a for a in to_notify if a.get("keyword_matched")]
-                         if self._match_keywords(a, config.keywords)]
             result.filtered = before - len(to_notify)
 
-        # 4. Skip already-notified
+        # 5. Skip already-notified
         if to_notify:
             to_notify = await self._exclude_sent(to_notify)
 
-        # 5. 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":
@@ -46,7 +59,7 @@ class PostCrawlPipeline:
             elif not config.filter_enabled:
                 result.notified = await self._send_notifications(to_notify)
 
-        # 6. Mark sent
+        # 7. Mark sent
         if config.mark_sent and result.notified > 0:
             await self._mark_sent(to_notify)
 
@@ -125,3 +138,52 @@ class PostCrawlPipeline:
     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()

app/wechat/client.py

@@ -1,9 +1,12 @@
+import logging
 import time
 
 import httpx
 
 from app.config import settings
 
+logger = logging.getLogger(__name__)
+
 
 class WeChatClient:
     def __init__(self):
@@ -15,7 +18,7 @@ class WeChatClient:
         if self._access_token and now < self._token_expires_at:
             return self._access_token
 
-        url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
+        url = f"{settings.wechat_api_base_url}/cgi-bin/gettoken"
         params = {
             "corpid": settings.wechat_corp_id,
             "corpsecret": settings.wechat_secret,
@@ -27,6 +30,7 @@ class WeChatClient:
                 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:
@@ -59,9 +63,10 @@ class WeChatClient:
     ) -> 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 = "https://qyapi.weixin.qq.com/cgi-bin/message/send"
+        url = f"{settings.wechat_api_base_url}/cgi-bin/message/send"
         params = {"access_token": token}
         body = {
             "touser": to_user,
@@ -73,4 +78,11 @@ class WeChatClient:
         async with httpx.AsyncClient(timeout=30) as client:
             response = await client.post(url, params=params, json=body)
             data = response.json()
-            return data.get("errcode") == 0
+            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

app/wechat/handler.py

@@ -1,4 +1,6 @@
+import asyncio
 import logging
+import time
 import xml.etree.ElementTree as ET
 
 from app.config import settings
@@ -7,6 +9,14 @@ 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):
@@ -65,9 +75,34 @@ class WeChatMessageHandler:
             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:
@@ -97,8 +132,21 @@ class WeChatMessageHandler:
             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:
@@ -136,3 +184,204 @@ class WeChatMessageHandler:
         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} 页\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} 条\n"
+                    f"今日新增: {today} 条\n"
+                    f"待推送: {unsent} 条\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} 条"
+                )
+                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)

app/wechat/menu.py

@@ -9,9 +9,29 @@ logger = logging.getLogger(__name__)
 MENU = {
     "button": [
         {
-            "name": "今日公告",
+            "name": "最新公告",
             "type": "click",
-            "key": "today_stats",
+            "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",
@@ -26,6 +46,11 @@ MENU = {
                     "type": "click",
                     "key": "sync_holidays",
                 },
+                {
+                    "name": "AI 分析",
+                    "type": "click",
+                    "key": "toggle_ai",
+                },
             ],
         },
     ]
@@ -46,7 +71,7 @@ class MenuManager:
         if not token:
             return False
 
-        url = "https://qyapi.weixin.qq.com/cgi-bin/menu/create"
+        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:
@@ -63,7 +88,7 @@ class MenuManager:
         if not token:
             return False
 
-        url = "https://qyapi.weixin.qq.com/cgi-bin/menu/delete"
+        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:
@@ -76,7 +101,7 @@ class MenuManager:
         if not token:
             return None
 
-        url = "https://qyapi.weixin.qq.com/cgi-bin/menu/get"
+        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:

docker/Dockerfile

@@ -1,5 +1,9 @@
 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 \

docker/docker-compose.yml

@@ -3,6 +3,11 @@ services:
     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:

tests/test_crawler/test_base.py

@@ -53,7 +53,6 @@ def test_pipeline_result_defaults():
     assert result.stored == 0
     assert result.filtered == 0
     assert result.notified == 0
-    assert result.markdown_generated is False
 
 
 def test_generate_content_hash():