commit 947c75cd78a343c1a2bc43d84100804f788bb6f5
Author: hubian <908234780@qq.com>
Date:   Fri Apr 10 16:57:31 2026 +0800

    feat: A股板块监控系统 - 东方财富API数据获取、异动检测、邮件通知

diff --git a/README.md b/README.md
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+++ b/README.md
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+# A股板块监控系统
+
+自动获取东方财富板块数据，监控异动并发送邮件通知。
+
+## 功能特点
+
+- 获取行业板块涨跌幅排行
+- 获取概念板块涨跌幅排行
+- 监控主力资金流入/流出
+- 检测板块异动（涨跌幅≥3%、资金流入≥10亿）
+- 自动发送HTML格式邮件通知
+
+## 数据来源
+
+东方财富HTTP API (http://push2.eastmoney.com)
+
+## 使用方法
+
+### 测试API连接
+
+```bash
+python3 board_monitor.py test
+```
+
+### 获取板块数据
+
+```bash
+# 获取行业板块涨跌幅TOP20
+python3 board_monitor.py get industry --sort pct --limit 20
+
+# 获取概念板块资金流入TOP20
+python3 board_monitor.py get concept --sort flow --limit 20
+```
+
+### 执行监控检查
+
+```bash
+# 监控并发送通知（发现异动时）
+python3 board_monitor.py monitor -v
+
+# 监控但不发送通知
+python3 board_monitor.py monitor --no-notify
+```
+
+## 定时任务配置
+
+```bash
+# 添加到crontab
+crontab -e
+
+# 盘中每小时检查（9:30-15:00）
+30-59 9 * * 1-5 /usr/bin/python3 /home/xian/.openclaw/workspace-coder/works/board-monitor/board_monitor.py monitor
+0-15 10-14 * * 1-5 /usr/bin/python3 /home/xian/.openclaw/workspace-coder/works/board-monitor/board_monitor.py monitor
+0-0 15 * * 1-5 /usr/bin/python3 /home/xian/.openclaw/workspace-coder/works/board-monitor/board_monitor.py monitor
+```
+
+## 异动检测阈值
+
+| 类型 | 阈值 |
+|------|------|
+| 涨幅异动 | ≥ 3% |
+| 跌幅异动 | ≤ -3% |
+| 资金流入 | ≥ 10亿 |
+| 资金流出 | ≤ -10亿 |
+
+可在 `board_monitor.py` 中修改 `check_anomaly()` 函数的参数调整阈值。
+
+## 通知邮箱
+
+默认发送到: zuitoushang@tphai.com
+
+可在 `send_notification()` 函数中修改。
+
+## 版本历史
+
+- v1.0.0 (2026-04-10) - 初始版本
\ No newline at end of file
diff --git a/board_monitor.py b/board_monitor.py
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+++ b/board_monitor.py
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+#!/usr/bin/env python3
+"""
+A股板块监控系统
+获取东方财富板块数据，监控异动，发送通知
+"""
+
+import urllib.request
+import json
+import os
+import sys
+import subprocess
+from datetime import datetime
+from typing import List, Dict, Optional
+from pathlib import Path
+
+# 清除代理环境变量（解决代理问题）
+for proxy_var in ['http_proxy', 'https_proxy', 'HTTP_PROXY', 'HTTPS_PROXY']:
+    os.environ.pop(proxy_var, None)
+
+# 配置
+SCRIPT_DIR = Path(__file__).parent
+DATA_DIR = SCRIPT_DIR / "data"
+DATA_DIR.mkdir(exist_ok=True)
+
+# 东方财富API配置
+EASTMONEY_BASE_URL = "http://push2.eastmoney.com/api/qt/clist/get"
+
+# 板块类型
+BOARD_TYPES = {
+    "industry": "m:90+t:2",      # 行业板块
+    "concept": "m:90+t:3",       # 概念板块
+}
+
+# 数据字段
+FIELDS = "f12,f14,f2,f3,f62,f66,f84,f104,f125,f126,f127,f128"
+# f12: 板块代码
+# f14: 板块名称
+# f2: 最新价
+# f3: 涨跌幅
+# f62: 主力净流入
+# f66: 主力净流入-陆股通
+# f84: 领涨股代码
+# f104: 领涨股名称
+
+
+def get_board_data(board_type: str, sort_by: str = "f3", limit: int = 50) -> Optional[List[Dict]]:
+    """
+    获取板块数据
+    
+    参数:
+        board_type: 板块类型 (industry/concept)
+        sort_by: 排序字段 (f3=涨跌幅, f66=主力资金)
+        limit: 返回数量
+    
+    返回:
+        List[Dict]: 板块数据列表
+    """
+    fs = BOARD_TYPES.get(board_type)
+    if not fs:
+        print(f"❌ 未知的板块类型: {board_type}")
+        return None
+    
+    url = f"{EASTMONEY_BASE_URL}?fid={sort_by}&po=1&pz={limit}&pn=1&np=1&fltt=2&invt=2&fs={fs}&fields={FIELDS}"
+    
+    try:
+        req = urllib.request.Request(url, headers={
+            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
+            'Referer': 'http://quote.eastmoney.com/'
+        })
+        
+        with urllib.request.urlopen(req, timeout=15) as resp:
+            data = json.loads(resp.read().decode())
+            
+            if data.get('data') and data['data'].get('diff'):
+                items = data['data']['diff']
+                boards = []
+                
+                for item in items:
+                    board = {
+                        'code': item.get('f12', ''),
+                        'name': item.get('f14', ''),
+                        'price': item.get('f2', 0) / 100 if item.get('f2') else 0,
+                        'pct_change': item.get('f3', 0) / 100 if item.get('f3') else 0,
+                        'main_flow': item.get('f62', 0) / 1e8 if item.get('f62') else 0,  # 亿元
+                        'main_flow_lgt': item.get('f66', 0) / 1e8 if item.get('f66') else 0,  # 陆股通流入
+                        'leader_code': item.get('f84', ''),
+                        'leader_name': item.get('f104', ''),
+                    }
+                    boards.append(board)
+                
+                return boards
+            else:
+                print(f"⚠️ API返回数据为空")
+                return None
+                
+    except urllib.error.URLError as e:
+        print(f"❌ 网络请求失败: {e}")
+        return None
+    except json.JSONDecodeError as e:
+        print(f"❌ JSON解析失败: {e}")
+        return None
+    except Exception as e:
+        print(f"❌ 获取数据异常: {e}")
+        return None
+
+
+def check_anomaly(boards: List[Dict], pct_threshold: float = 3.0, flow_threshold: float = 10.0) -> Dict:
+    """
+    检查板块异动
+    
+    参数:
+        boards: 板块数据列表
+        pct_threshold: 涨跌幅阈值 (%)
+        flow_threshold: 资金流入阈值 (亿元)
+    
+    返回:
+        Dict: 异动信息，包含涨跌异动和资金异动
+    """
+    anomaly = {
+        'pct_up': [],    # 涨幅异动
+        'pct_down': [],  # 跌幅异动
+        'flow_in': [],   # 资金流入异动
+        'flow_out': [],  # 资金流出异动
+        'timestamp': datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    }
+    
+    for board in boards:
+        # 涨跌幅异动
+        if board['pct_change'] >= pct_threshold:
+            anomaly['pct_up'].append(board)
+        elif board['pct_change'] <= -pct_threshold:
+            anomaly['pct_down'].append(board)
+        
+        # 资金流向异动
+        if board['main_flow'] >= flow_threshold:
+            anomaly['flow_in'].append(board)
+        elif board['main_flow'] <= -flow_threshold:
+            anomaly['flow_out'].append(board)
+    
+    return anomaly
+
+
+def format_board_line(board: Dict) -> str:
+    """格式化单行板块信息"""
+    pct = board['pct_change']
+    flow = board['main_flow']
+    leader = board['leader_name'] or board['leader_code']
+    
+    pct_str = f"+{pct:.2f}%" if pct > 0 else f"{pct:.2f}%"
+    flow_str = f"+{flow:.2f}亿" if flow > 0 else f"{flow:.2f}亿"
+    leader_str = f"领涨: {leader}" if leader else ""
+    
+    return f"{board['name']}: {pct_str}, 主力{flow_str} {leader_str}"
+
+
+def print_board_summary(boards: List[Dict], title: str, limit: int = 10):
+    """打印板块摘要"""
+    if not boards:
+        return
+    
+    print(f"\n{title}")
+    print("=" * 50)
+    for board in boards[:limit]:
+        print(format_board_line(board))
+
+
+def print_anomaly_report(anomaly: Dict):
+    """打印异动报告"""
+    print(f"\n📊 板块异动报告 [{anomaly['timestamp']}]")
+    print("=" * 60)
+    
+    has_anomaly = False
+    
+    if anomaly['pct_up']:
+        has_anomaly = True
+        print(f"\n🔴 涨幅异动 (涨幅 ≥ 3%)")
+        for board in anomaly['pct_up']:
+            print(f"  {format_board_line(board)}")
+    
+    if anomaly['pct_down']:
+        has_anomaly = True
+        print(f"\n🟢 跌幅异动 (跌幅 ≥ 3%)")
+        for board in anomaly['pct_down']:
+            print(f"  {format_board_line(board)}")
+    
+    if anomaly['flow_in']:
+        has_anomaly = True
+        print(f"\n💰 资金大幅流入 (≥ 10亿)")
+        for board in anomaly['flow_in']:
+            print(f"  {format_board_line(board)}")
+    
+    if anomaly['flow_out']:
+        has_anomaly = True
+        print(f"\n💸 资金大幅流出 (≥ 10亿)")
+        for board in anomaly['flow_out']:
+            print(f"  {format_board_line(board)}")
+    
+    if not has_anomaly:
+        print("\n✅ 今日无明显异动")
+    
+    return has_anomaly
+
+
+def generate_html_report(anomaly: Dict, board_type: str) -> str:
+    """生成HTML格式报告"""
+    lines = [
+        "<h2>📊 A股板块异动报告</h2>",
+        f"<p>检测时间: {anomaly['timestamp']}</p>",
+        f"<p>板块类型: {board_type}</p>",
+    ]
+    
+    if anomaly['pct_up']:
+        lines.append("<h3>🔴 涨幅异动 (涨幅 ≥ 3%)</h3>")
+        lines.append("<ul>")
+        for board in anomaly['pct_up']:
+            lines.append(f"<li>{format_board_line(board)}</li>")
+        lines.append("</ul>")
+    
+    if anomaly['pct_down']:
+        lines.append("<h3>🟢 跌幅异动 (跌幅 ≥ 3%)</h3>")
+        lines.append("<ul>")
+        for board in anomaly['pct_down']:
+            lines.append(f"<li>{format_board_line(board)}</li>")
+        lines.append("</ul>")
+    
+    if anomaly['flow_in']:
+        lines.append("<h3>💰 资金大幅流入 (≥ 10亿)</h3>")
+        lines.append("<ul>")
+        for board in anomaly['flow_in']:
+            lines.append(f"<li>{format_board_line(board)}</li>")
+        lines.append("</ul>")
+    
+    if anomaly['flow_out']:
+        lines.append("<h3>💸 资金大幅流出 (≥ 10亿)</h3>")
+        lines.append("<ul>")
+        for board in anomaly['flow_out']:
+            lines.append(f"<li>{format_board_line(board)}</li>")
+        lines.append("</ul>")
+    
+    if not (anomaly['pct_up'] or anomaly['pct_down'] or anomaly['flow_in'] or anomaly['flow_out']):
+        lines.append("<p>✅ 今日无明显异动</p>")
+    
+    return "\n".join(lines)
+
+
+def send_notification(subject: str, html_body: str, to_email: str = "zuitoushang@tphai.com"):
+    """发送邮件通知"""
+    # 使用邮件发送技能
+    email_script = Path(__file__).parent.parent.parent / "skills/email/scripts/send_email.py"
+    
+    cmd = [
+        "python3", str(email_script),
+        "send",
+        "--to", to_email,
+        "--subject", subject,
+        "--body", html_body,
+        "--html"
+    ]
+    
+    try:
+        result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
+        if result.returncode == 0:
+            print(f"✅ 邮件发送成功: {to_email}")
+            return True
+        else:
+            print(f"❌ 邮件发送失败: {result.stderr}")
+            return False
+    except Exception as e:
+        print(f"❌ 邮件发送异常: {e}")
+        return False
+
+
+def monitor(board_types: List[str] = ["industry", "concept"], 
+            notify: bool = True,
+            verbose: bool = False) -> Dict:
+    """
+    执行板块监控
+    
+    参数:
+        board_types: 要监控的板块类型列表
+        notify: 是否发送通知（仅在发现异动时）
+        verbose: 显示详细日志
+    
+    返回:
+        Dict: 监控结果汇总
+    """
+    import subprocess
+    
+    results = {
+        'boards': {},
+        'anomalies': {},
+        'has_anomaly': False
+    }
+    
+    for board_type in board_types:
+        if verbose:
+            print(f"\n📡 获取 {board_type} 板块数据...")
+        
+        # 获取板块数据（按涨跌幅排序）
+        boards = get_board_data(board_type, sort_by="f3", limit=100)
+        
+        if boards:
+            results['boards'][board_type] = boards
+            
+            # 检查异动
+            anomaly = check_anomaly(boards)
+            results['anomalies'][board_type] = anomaly
+            
+            if anomaly['pct_up'] or anomaly['pct_down'] or anomaly['flow_in'] or anomaly['flow_out']:
+                results['has_anomaly'] = True
+            
+            if verbose:
+                # 打印TOP10涨跌
+                sorted_by_pct = sorted(boards, key=lambda x: x['pct_change'], reverse=True)
+                print_board_summary(sorted_by_pct[:10], f"涨幅TOP10 ({board_type})")
+                print_board_summary(sorted_by_pct[-10:], f"跌幅TOP10 ({board_type})")
+                
+                # 打印异动报告
+                print_anomaly_report(anomaly)
+        else:
+            print(f"❌ 获取 {board_type} 数据失败")
+    
+    # 发送通知（仅在发现异动时）
+    if notify and results['has_anomaly']:
+        subject = "【板块异动警报】检测到板块异动"
+        
+        # 合并所有异动
+        combined_anomaly = {
+            'pct_up': [],
+            'pct_down': [],
+            'flow_in': [],
+            'flow_out': [],
+            'timestamp': datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        }
+        
+        for anomaly in results['anomalies'].values():
+            combined_anomaly['pct_up'].extend(anomaly['pct_up'])
+            combined_anomaly['pct_down'].extend(anomaly['pct_down'])
+            combined_anomaly['flow_in'].extend(anomaly['flow_in'])
+            combined_anomaly['flow_out'].extend(anomaly['flow_out'])
+        
+        # 去重（按板块名称）
+        for key in ['pct_up', 'pct_down', 'flow_in', 'flow_out']:
+            seen = set()
+            unique = []
+            for board in combined_anomaly[key]:
+                if board['name'] not in seen:
+                    seen.add(board['name'])
+                    unique.append(board)
+            combined_anomaly[key] = unique
+        
+        html_body = generate_html_report(combined_anomaly, "行业+概念板块")
+        send_notification(subject, html_body)
+    
+    return results
+
+
+def main():
+    """命令行入口"""
+    import argparse
+    
+    parser = argparse.ArgumentParser(description="A股板块监控系统")
+    subparsers = parser.add_subparsers(dest="command", help="可用命令")
+    
+    # 获取数据命令
+    get_parser = subparsers.add_parser("get", help="获取板块数据")
+    get_parser.add_argument("type", choices=["industry", "concept"], help="板块类型")
+    get_parser.add_argument("--sort", choices=["pct", "flow"], default="pct", help="排序方式")
+    get_parser.add_argument("--limit", type=int, default=20, help="返回数量")
+    
+    # 监控命令
+    monitor_parser = subparsers.add_parser("monitor", help="执行监控检查")
+    monitor_parser.add_argument("--types", nargs="+", default=["industry", "concept"], help="板块类型")
+    monitor_parser.add_argument("--no-notify", action="store_true", help="不发送通知")
+    monitor_parser.add_argument("-v", "--verbose", action="store_true", help="显示详细日志")
+    
+    # 测试命令
+    subparsers.add_parser("test", help="测试API连接")
+    
+    args = parser.parse_args()
+    
+    if args.command == "get":
+        sort_by = "f3" if args.sort == "pct" else "f66"
+        boards = get_board_data(args.type, sort_by=sort_by, limit=args.limit)
+        
+        if boards:
+            print(f"\n📊 {args.type} 板块数据 ({len(boards)} 条)")
+            print("=" * 50)
+            for board in boards:
+                print(format_board_line(board))
+        else:
+            print("❌ 获取数据失败")
+    
+    elif args.command == "monitor":
+        monitor(
+            board_types=args.types,
+            notify=not args.no_notify,
+            verbose=args.verbose
+        )
+    
+    elif args.command == "test":
+        print("\n🧪 测试东方财富API连接...")
+        for board_type in ["industry", "concept"]:
+            print(f"\n测试 {board_type} 板块...")
+            boards = get_board_data(board_type, limit=5)
+            if boards:
+                print(f"✅ 成功获取 {len(boards)} 条数据")
+                for board in boards[:3]:
+                    print(f"  - {board['name']}: {board['pct_change']:+.2f}%")
+            else:
+                print(f"❌ {board_type} 测试失败")
+    
+    else:
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file