feat: 改为盘后报告模式 - 正文分析总结+附件详细数据

README.md

@@ -1,18 +1,32 @@
-# A股板块监控系统
+# A股板块盘后分析系统
 
-自动获取东方财富板块数据，监控异动并发送邮件通知。
+自动获取东方财富板块数据，生成盘后分析报告并发送邮件。
 
 ## 功能特点
 
-- 获取行业板块涨跌幅排行
+- 每个交易日17:00自动执行
-- 获取概念板块涨跌幅排行
+- 获取行业板块和概念板块完整数据
-- 监控主力资金流入/流出
+- 生成分析总结邮件正文
-- 检测板块异动（涨跌幅≥3%、资金流入≥10亿）
+- 详细数据CSV文件作为附件
-- 自动发送HTML格式邮件通知
+- 发送到指定邮箱
 
-## 数据来源
+## 邮件内容
 
-东方财富HTTP API (http://push2.eastmoney.com)
+### 正文（分析总结）
+
+- 市场整体趋势判断
+- 热门概念板块 TOP5
+- 行业涨幅/跌幅 TOP5
+- 主力资金大幅流入 TOP10
+- 主力资金大幅流出 TOP10
+
+### 附件（详细数据）
+
+CSV文件包含：
+- 行业板块涨跌幅排行（完整）
+- 行业板块资金流向排行（完整）
+- 概念板块涨跌幅排行（完整）
+- 概念板块资金流向排行（完整）
 
 ## 使用方法
 
@@ -25,52 +39,32 @@ 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 --limit 20
-python3 board_monitor.py get industry --sort pct --limit 20
+python3 board_monitor.py get concept --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
+### 手动发送报告
 
 ```bash
-# 监控并发送通知（发现异动时）
+python3 board_monitor.py report -v
-python3 board_monitor.py monitor -v
 
-# 监控但不发送通知
+# 发送到其他邮箱
-python3 board_monitor.py monitor --no-notify
+python3 board_monitor.py report --to other@example.com
 ```
 
 ## 定时任务配置
 
-```bash
+每个交易日（周一至周五）17:00自动执行：
-# 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 17 * * 1-5 python3 board_monitor.py report
-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
+## 数据来源
 
-| 类型 | 阈值 |
+东方财富HTTP API (http://push2.eastmoney.com)
-|------|------|
-| 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
 
+- v1.1.0 (2026-04-10) - 改为盘后报告模式，正文分析+附件详细数据
 - v1.0.0 (2026-04-10) - 初始版本

board_monitor.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 """
-A股板块监控系统
+A股板块盘后分析系统
-获取东方财富板块数据，监控异动，发送通知
+获取东方财富板块数据，生成分析报告，发送邮件通知
 """
 
 import urllib.request
@@ -33,23 +33,15 @@ BOARD_TYPES = {
 
 # 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]]:
+def get_board_data(board_type: str, sort_by: str = "f3", limit: int = 100) -> 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)
+        sort_by: 排序字段 (f3=涨跌幅, f62=主力资金)
         limit: 返回数量
     
     返回:
@@ -82,7 +74,6 @@ def get_board_data(board_type: str, sort_by: str = "f3", limit: int = 50) -> Opt
                         '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', ''),
                     }
@@ -96,157 +87,163 @@ def get_board_data(board_type: str, sort_by: str = "f3", limit: int = 50) -> Opt
     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:
+def generate_daily_report(boards_data: Dict, to_email: str = "wlq@tphai.com") -> bool:
     """
-    检查板块异动
+    生成盘后分析报告并发送邮件
     
     参数:
-        boards: 板块数据列表
+        boards_data: 板块数据字典 {'industry': [], 'concept': []}
-        pct_threshold: 涨跌幅阈值 (%)
+        to_email: 收件人邮箱
-        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
+        bool: 是否发送成功
     """
-    anomaly = {
+    all_industry = boards_data.get('industry', [])
-        'pct_up': [],    # 涨幅异动
+    all_concept = boards_data.get('concept', [])
-        '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:
+    if not all_industry and not all_concept:
-        # 涨跌幅异动
+        print("❌ 无数据，无法生成报告")
-        if board['pct_change'] >= pct_threshold:
+        return False
-            anomaly['pct_up'].append(board)
-        elif board['pct_change'] <= -pct_threshold:
-            anomaly['pct_down'].append(board)
     
-        # 资金流向异动
+    # 分析总结
-        if board['main_flow'] >= flow_threshold:
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-            anomaly['flow_in'].append(board)
-        elif board['main_flow'] <= -flow_threshold:
-            anomaly['flow_out'].append(board)
     
-    return anomaly
+    # 计算市场趋势
+    avg_pct = 0
+    if all_industry:
+        avg_pct = sum(b['pct_change'] for b in all_industry) / len(all_industry)
     
+    market_trend = '平稳'
+    if avg_pct > 0.5:
+        market_trend = '上涨'
+    elif avg_pct < -0.5:
+        market_trend = '下跌'
     
-def format_board_line(board: Dict) -> str:
+    # 排序数据
-    """格式化单行板块信息"""
+    industry_by_pct = sorted(all_industry, key=lambda x: x['pct_change'], reverse=True)
-    pct = board['pct_change']
+    industry_by_flow = sorted(all_industry, key=lambda x: x['main_flow'], reverse=True)
-    flow = board['main_flow']
+    concept_by_pct = sorted(all_concept, key=lambda x: x['pct_change'], reverse=True)
-    leader = board['leader_name'] or board['leader_code']
+    concept_by_flow = sorted(all_concept, key=lambda x: x['main_flow'], reverse=True)
     
-    pct_str = f"+{pct:.2f}%" if pct > 0 else f"{pct:.2f}%"
+    # 生成HTML正文（分析总结）
-    flow_str = f"+{flow:.2f}亿" if flow > 0 else f"{flow:.2f}亿"
+    html_lines = [
-    leader_str = f"领涨: {leader}" if leader else ""
+        "<h2>📊 A股板块盘后分析报告</h2>",
-    
+        f"<p>报告时间: {timestamp}</p>",
-    return f"{board['name']}: {pct_str}, 主力{flow_str} {leader_str}"
+        f"<p>市场整体: <strong>{market_trend}</strong> (行业平均涨跌 {avg_pct:+.2f}%)</p>",
-
+        "",
-
+        "<hr>",
-def print_board_summary(boards: List[Dict], title: str, limit: int = 10):
+        "",
-    """打印板块摘要"""
+        "<h3>🔥 今日热门概念板块 TOP5</h3>",
-    if not boards:
+        "<table border='1' cellpadding='6' cellspacing='0' style='border-collapse: collapse;'>",
-        return
+        "<tr style='background:#f0f0f0'><th>板块</th><th>涨跌幅</th><th>主力资金</th></tr>",
-    
-    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']:
+    for board in concept_by_pct[:5]:
-        lines.append("<h3>🔴 涨幅异动 (涨幅 ≥ 3%)</h3>")
+        pct_str = f"+{board['pct_change']:.2f}%" if board['pct_change'] > 0 else f"{board['pct_change']:.2f}%"
-        lines.append("<ul>")
+        flow_str = f"+{board['main_flow']:.2f}亿" if board['main_flow'] > 0 else f"{board['main_flow']:.2f}亿"
-        for board in anomaly['pct_up']:
+        html_lines.append(f"<tr><td>{board['name']}</td><td>{pct_str}</td><td>{flow_str}</td></tr>")
-            lines.append(f"<li>{format_board_line(board)}</li>")
-        lines.append("</ul>")
     
-    if anomaly['pct_down']:
+    html_lines.append("</table>")
-        lines.append("<h3>🟢 跌幅异动 (跌幅 ≥ 3%)</h3>")
+    html_lines.append("")
-        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']:
+    html_lines.append("<h3>📈 行业板块涨幅 TOP5</h3>")
-        lines.append("<h3>💰 资金大幅流入 (≥ 10亿)</h3>")
+    html_lines.append("<table border='1' cellpadding='6' cellspacing='0' style='border-collapse: collapse;'>")
-        lines.append("<ul>")
+    html_lines.append("<tr style='background:#f0f0f0'><th>板块</th><th>涨跌幅</th><th>主力资金</th><th>领涨股</th></tr>")
-        for board in anomaly['flow_in']:
-            lines.append(f"<li>{format_board_line(board)}</li>")
-        lines.append("</ul>")
     
-    if anomaly['flow_out']:
+    for board in industry_by_pct[:5]:
-        lines.append("<h3>💸 资金大幅流出 (≥ 10亿)</h3>")
+        pct_str = f"+{board['pct_change']:.2f}%" if board['pct_change'] > 0 else f"{board['pct_change']:.2f}%"
-        lines.append("<ul>")
+        flow_str = f"+{board['main_flow']:.2f}亿" if board['main_flow'] > 0 else f"{board['main_flow']:.2f}亿"
-        for board in anomaly['flow_out']:
+        html_lines.append(f"<tr><td>{board['name']}</td><td>{pct_str}</td><td>{flow_str}</td><td>{board['leader_name'] or '-'}</td></tr>")
-            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']):
+    html_lines.append("</table>")
-        lines.append("<p>✅ 今日无明显异动</p>")
+    html_lines.append("")
     
-    return "\n".join(lines)
+    html_lines.append("<h3>📉 行业板块跌幅 TOP5</h3>")
+    html_lines.append("<table border='1' cellpadding='6' cellspacing='0' style='border-collapse: collapse;'>")
+    html_lines.append("<tr style='background:#f0f0f0'><th>板块</th><th>涨跌幅</th><th>主力资金</th></tr>")
     
+    for board in industry_by_pct[-5:]:
+        pct_str = f"+{board['pct_change']:.2f}%" if board['pct_change'] > 0 else f"{board['pct_change']:.2f}%"
+        flow_str = f"+{board['main_flow']:.2f}亿" if board['main_flow'] > 0 else f"{board['main_flow']:.2f}亿"
+        html_lines.append(f"<tr><td>{board['name']}</td><td>{pct_str}</td><td>{flow_str}</td></tr>")
     
-def send_notification(subject: str, html_body: str, to_email: str = "zuitoushang@tphai.com"):
+    html_lines.append("</table>")
-    """发送邮件通知"""
+    html_lines.append("")
-    # 使用邮件发送技能
+    
-    email_script = Path(__file__).parent.parent.parent / "skills/email/scripts/send_email.py"
+    html_lines.append("<h3>💰 主力资金大幅流入 TOP10</h3>")
+    html_lines.append("<table border='1' cellpadding='6' cellspacing='0' style='border-collapse: collapse;'>")
+    html_lines.append("<tr style='background:#f0f0f0'><th>板块</th><th>资金流入(亿)</th><th>涨跌幅</th></tr>")
+    
+    inflow_boards = [b for b in industry_by_flow if b['main_flow'] > 10][:10]
+    for board in inflow_boards:
+        pct_str = f"+{board['pct_change']:.2f}%" if board['pct_change'] > 0 else f"{board['pct_change']:.2f}%"
+        html_lines.append(f"<tr><td>{board['name']}</td><td>+{board['main_flow']:.2f}</td><td>{pct_str}</td></tr>")
+    
+    html_lines.append("</table>")
+    html_lines.append("")
+    
+    html_lines.append("<h3>💸 主力资金大幅流出 TOP10</h3>")
+    html_lines.append("<table border='1' cellpadding='6' cellspacing='0' style='border-collapse: collapse;'>")
+    html_lines.append("<tr style='background:#f0f0f0'><th>板块</th><th>资金流出(亿)</th><th>涨跌幅</th></tr>")
+    
+    outflow_boards = [b for b in industry_by_flow if b['main_flow'] < -10][:10]
+    for board in outflow_boards:
+        pct_str = f"+{board['pct_change']:.2f}%" if board['pct_change'] > 0 else f"{board['pct_change']:.2f}%"
+        html_lines.append(f"<tr><td>{board['name']}</td><td>{board['main_flow']:.2f}</td><td>{pct_str}</td></tr>")
+    
+    html_lines.append("</table>")
+    html_lines.append("")
+    html_lines.append("<hr>")
+    html_lines.append("<p><em>📊 详细数据请查看附件 CSV 文件</em></p>")
+    
+    html_body = "\n".join(html_lines)
+    
+    # 生成附件文件（CSV格式）
+    attachment_file = DATA_DIR / f"board_detail_{datetime.now().strftime('%Y%m%d')}.csv"
+    
+    csv_lines = [
+        "# A股板块详细数据",
+        f"# 生成时间: {timestamp}",
+        "",
+        "=== 行业板块涨跌幅排行 ===",
+        "板块名称,涨跌幅(%),主力资金(亿),领涨股",
+    ]
+    
+    for board in industry_by_pct:
+        csv_lines.append(f"{board['name']},{board['pct_change']:.2f},{board['main_flow']:.2f},{board['leader_name'] or ''}")
+    
+    csv_lines.append("")
+    csv_lines.append("=== 行业板块资金流向排行 ===")
+    csv_lines.append("板块名称,主力资金(亿),涨跌幅(%),领涨股")
+    
+    for board in industry_by_flow:
+        csv_lines.append(f"{board['name']},{board['main_flow']:.2f},{board['pct_change']:.2f},{board['leader_name'] or ''}")
+    
+    csv_lines.append("")
+    csv_lines.append("=== 概念板块涨跌幅排行 ===")
+    csv_lines.append("板块名称,涨跌幅(%),主力资金(亿),领涨股")
+    
+    for board in concept_by_pct:
+        csv_lines.append(f"{board['name']},{board['pct_change']:.2f},{board['main_flow']:.2f},{board['leader_name'] or ''}")
+    
+    csv_lines.append("")
+    csv_lines.append("=== 概念板块资金流向排行 ===")
+    csv_lines.append("板块名称,主力资金(亿),涨跌幅(%),领涨股")
+    
+    for board in concept_by_flow:
+        csv_lines.append(f"{board['name']},{board['main_flow']:.2f},{board['pct_change']:.2f},{board['leader_name'] or ''}")
+    
+    attachment_file.write_text("\n".join(csv_lines), encoding='utf-8')
+    
+    # 发送邮件
+    email_script = SCRIPT_DIR.parent.parent / "skills/email/scripts/send_email.py"
+    
+    subject = f"【A股板块盘后分析】{datetime.now().strftime('%Y-%m-%d')}"
     
     cmd = [
         "python3", str(email_script),
@@ -254,151 +251,89 @@ def send_notification(subject: str, html_body: str, to_email: str = "zuitoushang
         "--to", to_email,
         "--subject", subject,
         "--body", html_body,
-        "--html"
+        "--html",
+        "--attach", str(attachment_file)
     ]
     
     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}")
+            print(f"✅ 报告发送成功: {to_email}")
+            print(f"   附件: {attachment_file}")
             return True
         else:
-            print(f"❌ 邮件发送失败: {result.stderr}")
+            print(f"❌ 发送失败: {result.stderr}")
             return False
     except Exception as e:
-        print(f"❌ 邮件发送异常: {e}")
+        print(f"❌ 发送异常: {e}")
         return False
 
 
-def monitor(board_types: List[str] = ["industry", "concept"], 
+def run_daily_report(to_email: str = "wlq@tphai.com", verbose: bool = False) -> bool:
-            notify: bool = True,
-            verbose: bool = False) -> Dict:
     """
-    执行板块监控
+    执行盘后报告生成和发送
     
     参数:
-        board_types: 要监控的板块类型列表
+        to_email: 收件人邮箱
-        notify: 是否发送通知（仅在发现异动时）
+        verbose: 是否显示详细日志
-        verbose: 显示详细日志
     
     返回:
-        Dict: 监控结果汇总
+        bool: 是否成功
     """
-    import subprocess
+    if verbose:
+        print(f"\n📊 A股板块盘后分析")
+        print("=" * 50)
+        print(f"收件人: {to_email}")
+        print(f"时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
     
-    results = {
+    # 获取所有板块数据
-        'boards': {},
+    boards_data = {}
-        'anomalies': {},
-        'has_anomaly': False
-    }
     
-    for board_type in board_types:
+    for board_type in ["industry", "concept"]:
         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, limit=100)
-        boards = get_board_data(board_type, sort_by="f3", limit=100)
         
         if boards:
-            results['boards'][board_type] = boards
+            boards_data[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
+                print(f"✅ 成功获取 {len(boards)} 条数据")
-                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")
+            boards_data[board_type] = []
     
-    # 发送通知（仅在发现异动时）
+    # 生成并发送报告
-    if notify and results['has_anomaly']:
+    if boards_data.get('industry') or boards_data.get('concept'):
-        subject = "【板块异动警报】检测到板块异动"
+        return generate_daily_report(boards_data, to_email)
-        
+    else:
-        # 合并所有异动
+        print("❌ 所有数据获取失败，无法生成报告")
-        combined_anomaly = {
+        return False
-            '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")
+    parser = argparse.ArgumentParser(description="A股板块盘后分析系统")
     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")
     
+    # 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("--limit", type=int, default=20, help="返回数量")
+    
+    # 发送报告命令
+    report_parser = subparsers.add_parser("report", help="生成并发送盘后报告")
+    report_parser.add_argument("--to", default="wlq@tphai.com", help="收件人邮箱")
+    report_parser.add_argument("-v", "--verbose", action="store_true", help="显示详细日志")
+    
     args = parser.parse_args()
     
-    if args.command == "get":
+    if args.command == "test":
-        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...")
@@ -406,10 +341,26 @@ def main():
             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}%")
+                    pct_str = f"+{board['pct_change']:.2f}%" if board['pct_change'] > 0 else f"{board['pct_change']:.2f}%"
+                    print(f"  - {board['name']}: {pct_str}")
             else:
                 print(f"❌ {board_type} 测试失败")
     
+    elif args.command == "get":
+        boards = get_board_data(args.type, limit=args.limit)
+        if boards:
+            print(f"\n📊 {args.type} 板块数据 ({len(boards)} 条)")
+            print("=" * 50)
+            for board in boards:
+                pct_str = f"+{board['pct_change']:.2f}%" if board['pct_change'] > 0 else f"{board['pct_change']:.2f}%"
+                flow_str = f"+{board['main_flow']:.2f}亿" if board['main_flow'] > 0 else f"{board['main_flow']:.2f}亿"
+                print(f"{board['name']}: {pct_str}, 主力{flow_str}")
+        else:
+            print("❌ 获取数据失败")
+    
+    elif args.command == "report":
+        run_daily_report(to_email=args.to, verbose=args.verbose)
+    
     else:
         parser.print_help()
 

data/board_detail_20260410.csv

@@ -0,0 +1,414 @@
+# A股板块详细数据
+# 生成时间: 2026-04-10 17:19:21
+
+=== 行业板块涨跌幅排行 ===
+板块名称,涨跌幅(%),主力资金(亿),领涨股
+蓄电池及其他电池,0.06,6.17,9
+玻纤制造,0.05,8.50,8
+金融信息服务,0.05,1.26,3
+期货,0.04,0.98,4
+锂电池,0.04,26.46,27
+逆变器,0.04,13.09,9
+电池,0.04,46.91,94
+电池化学品,0.04,11.28,42
+品牌消费电子,0.04,1.42,10
+锂电专用设备,0.03,3.06,15
+玻璃玻纤,0.03,9.20,17
+镍,0.03,3.97,1
+锂,0.03,9.49,7
+能源金属,0.03,13.95,10
+其他数字媒体,0.03,0.33,2
+其他纺织,0.03,1.32,11
+印染,0.03,-0.46,4
+证券Ⅲ,0.03,51.05,49
+证券Ⅱ,0.03,51.05,49
+油气及炼化工程,0.03,-0.31,5
+钴,0.02,0.50,2
+塑料包装,0.02,0.63,8
+其他橡胶制品,0.02,0.10,14
+非银金融,0.02,52.66,78
+半导体设备,0.02,-3.02,16
+其他电子Ⅲ,0.02,12.39,25
+其他电子Ⅱ,0.02,12.39,25
+多业态零售,0.02,1.03,14
+商用载货车,0.02,2.06,8
+火电设备,0.02,0.04,3
+其他家居用品,0.02,0.18,20
+机器人,0.02,1.61,20
+成品家居,0.02,0.58,16
+数字芯片设计,0.02,38.64,41
+玻璃制造,0.02,0.70,9
+原材料供应链服务,0.02,0.44,11
+纺织服装设备,0.02,1.74,11
+冰洗,0.02,0.28,7
+其他电源设备Ⅱ,0.02,8.80,25
+多元金融,0.02,1.44,24
+零食,0.02,0.63,8
+其他电源设备Ⅲ,0.02,6.45,20
+大众出版,0.02,0.10,15
+资产管理,0.02,-0.06,4
+仓储物流,0.02,0.28,5
+电力设备,0.02,60.75,330
+纺织制造,0.02,1.91,25
+综合电力设备商,0.02,2.31,2
+金属包装,0.02,0.51,5
+公路货运,0.02,0.13,4
+电动乘用车,0.02,6.96,3
+其他化学纤维,0.02,-0.38,6
+教育运营及其他,0.02,0.37,3
+其他生物制品,0.02,0.15,31
+视频媒体,0.02,0.12,1
+氨纶,0.02,-0.02,1
+培训教育,0.02,0.74,10
+光伏辅材,0.02,2.57,16
+铁矿石,0.02,0.81,4
+燃料电池,0.02,-0.06,1
+物流,0.02,1.48,42
+信托,0.02,0.31,3
+家纺,0.02,0.14,6
+跨境物流,0.02,0.48,12
+商业物业经营,0.02,0.57,15
+会展服务,0.02,-0.03,3
+教育,0.02,1.18,15
+光伏主材,0.02,-0.19,3
+底盘与发动机系统,0.02,8.49,97
+旅游零售Ⅲ,0.02,0.54,2
+旅游零售Ⅱ,0.02,0.54,2
+游戏Ⅲ,0.02,7.26,22
+游戏Ⅱ,0.02,7.26,22
+其他计算机设备,0.02,6.34,53
+耐火材料,0.02,-0.13,8
+其他通用设备,0.02,0.59,43
+特种纸,0.02,1.89,11
+原料药,0.02,3.23,36
+白色家电,0.01,0.02,9
+橡胶,0.01,-0.36,18
+厨房电器,0.01,0.03,4
+生物制品,0.01,0.05,48
+非金属材料Ⅲ,0.01,1.54,9
+非金属材料Ⅱ,0.01,1.54,9
+光伏设备,0.01,12.83,56
+乘用车,0.01,9.18,9
+计算机设备,0.01,8.96,75
+造纸,0.01,2.24,20
+机床工具,0.01,0.87,19
+家居用品,0.01,0.85,66
+装修装饰Ⅲ,0.01,0.25,16
+装修装饰Ⅱ,0.01,0.25,16
+汽车零部件,0.01,6.35,222
+端到端供应链服务,0.01,-0.00,7
+半导体,0.01,21.53,129
+一般零售,0.01,2.13,53
+鞋帽及其他,0.01,0.24,10
+分立器件,0.01,-1.85,13
+商用车,0.01,1.72,11
+汽车,0.01,16.41,267
+
+=== 行业板块资金流向排行 ===
+板块名称,主力资金(亿),涨跌幅(%),领涨股
+电力设备,60.75,0.02,330
+非银金融,52.66,0.02,78
+证券Ⅲ,51.05,0.03,49
+证券Ⅱ,51.05,0.03,49
+电池,46.91,0.04,94
+数字芯片设计,38.64,0.02,41
+锂电池,26.46,0.04,27
+半导体,21.53,0.01,129
+汽车,16.41,0.01,267
+能源金属,13.95,0.03,10
+逆变器,13.09,0.04,9
+光伏设备,12.83,0.01,56
+其他电子Ⅲ,12.39,0.02,25
+其他电子Ⅱ,12.39,0.02,25
+电池化学品,11.28,0.04,42
+锂,9.49,0.03,7
+玻璃玻纤,9.20,0.03,17
+乘用车,9.18,0.01,9
+计算机设备,8.96,0.01,75
+其他电源设备Ⅱ,8.80,0.02,25
+玻纤制造,8.50,0.05,8
+底盘与发动机系统,8.49,0.02,97
+游戏Ⅲ,7.26,0.02,22
+游戏Ⅱ,7.26,0.02,22
+电动乘用车,6.96,0.02,3
+其他电源设备Ⅲ,6.45,0.02,20
+汽车零部件,6.35,0.01,222
+其他计算机设备,6.34,0.02,53
+蓄电池及其他电池,6.17,0.06,9
+镍,3.97,0.03,1
+原料药,3.23,0.02,36
+锂电专用设备,3.06,0.03,15
+光伏辅材,2.57,0.02,16
+综合电力设备商,2.31,0.02,2
+造纸,2.24,0.01,20
+一般零售,2.13,0.01,53
+商用载货车,2.06,0.02,8
+纺织制造,1.91,0.02,25
+特种纸,1.89,0.02,11
+纺织服装设备,1.74,0.02,11
+商用车,1.72,0.01,11
+机器人,1.61,0.02,20
+非金属材料Ⅲ,1.54,0.01,9
+非金属材料Ⅱ,1.54,0.01,9
+物流,1.48,0.02,42
+多元金融,1.44,0.02,24
+品牌消费电子,1.42,0.04,10
+其他纺织,1.32,0.03,11
+金融信息服务,1.26,0.05,3
+教育,1.18,0.02,15
+多业态零售,1.03,0.02,14
+期货,0.98,0.04,4
+机床工具,0.87,0.01,19
+家居用品,0.85,0.01,66
+铁矿石,0.81,0.02,4
+培训教育,0.74,0.02,10
+玻璃制造,0.70,0.02,9
+零食,0.63,0.02,8
+塑料包装,0.63,0.02,8
+其他通用设备,0.59,0.02,43
+成品家居,0.58,0.02,16
+商业物业经营,0.57,0.02,15
+旅游零售Ⅲ,0.54,0.02,2
+旅游零售Ⅱ,0.54,0.02,2
+金属包装,0.51,0.02,5
+钴,0.50,0.02,2
+跨境物流,0.48,0.02,12
+原材料供应链服务,0.44,0.02,11
+教育运营及其他,0.37,0.02,3
+其他数字媒体,0.33,0.03,2
+信托,0.31,0.02,3
+仓储物流,0.28,0.02,5
+冰洗,0.28,0.02,7
+装修装饰Ⅲ,0.25,0.01,16
+装修装饰Ⅱ,0.25,0.01,16
+鞋帽及其他,0.24,0.01,10
+其他家居用品,0.18,0.02,20
+其他生物制品,0.15,0.02,31
+家纺,0.14,0.02,6
+公路货运,0.13,0.02,4
+视频媒体,0.12,0.02,1
+大众出版,0.10,0.02,15
+其他橡胶制品,0.10,0.02,14
+生物制品,0.05,0.01,48
+火电设备,0.04,0.02,3
+厨房电器,0.03,0.01,4
+白色家电,0.02,0.01,9
+端到端供应链服务,-0.00,0.01,7
+氨纶,-0.02,0.02,1
+会展服务,-0.03,0.02,3
+资产管理,-0.06,0.02,4
+燃料电池,-0.06,0.02,1
+耐火材料,-0.13,0.02,8
+光伏主材,-0.19,0.02,3
+油气及炼化工程,-0.31,0.03,5
+橡胶,-0.36,0.01,18
+其他化学纤维,-0.38,0.02,6
+印染,-0.46,0.03,4
+分立器件,-1.85,0.01,13
+半导体设备,-3.02,0.02,16
+
+=== 概念板块涨跌幅排行 ===
+板块名称,涨跌幅(%),主力资金(亿),领涨股
+昨日连板,0.04,-19.86,7
+昨日连板_含一字,0.04,-20.89,11
+GDR,0.04,24.42,10
+麒麟电池,0.04,8.22,8
+纳米银,0.04,3.12,5
+刀片电池,0.04,10.08,11
+动力电池回收,0.03,40.08,40
+科创板做市商,0.03,23.30,14
+3D摄像头,0.03,22.01,8
+固态电池,0.03,51.62,178
+券商概念,0.03,52.56,55
+钠离子电池,0.03,23.34,53
+锂矿概念,0.03,28.75,29
+同步磁阻电机,0.03,2.09,7
+托育服务,0.02,1.30,7
+PLC概念,0.02,0.93,8
+数字货币,0.02,10.40,75
+商汤概念,0.02,0.94,13
+噪声防治,0.02,-0.01,9
+碳化硅,0.02,-15.10,34
+宁组合,0.02,16.40,23
+碳基材料,0.02,1.18,16
+昨日涨停_含一字,0.02,-63.25,36
+锂电池概念,0.02,45.36,324
+地摊经济,0.02,5.92,27
+玻璃基板,0.02,-1.25,26
+大盘成长,0.02,87.72,68
+氟化工概念,0.02,3.37,28
+科创板做市股,0.02,-2.96,35
+无线充电,0.02,30.49,32
+轮毂电机,0.02,-0.05,9
+ERP概念,0.02,4.14,17
+星闪概念,0.02,13.74,36
+跨境支付,0.02,4.91,47
+机器人执行器,0.02,3.39,31
+华为欧拉,0.02,0.28,14
+发电机概念,0.02,1.33,21
+参股期货,0.02,28.16,41
+创业成份,0.02,63.70,76
+互联网金融,0.02,61.70,153
+蓝宝石,0.02,-6.10,11
+电子身份证,0.02,1.16,34
+电池技术,0.02,46.49,446
+船舶制造,0.02,2.94,9
+数字哨兵,0.02,-1.53,10
+燃料电池概念,0.02,18.94,112
+移动支付,0.02,4.00,56
+生物识别,0.02,4.48,42
+汽车芯片,0.02,26.48,56
+复合集流体,0.02,-3.42,19
+换电概念,0.02,12.01,31
+华为汽车,0.02,7.88,100
+蚂蚁概念,0.02,10.98,52
+储能概念,0.01,60.46,345
+2025三季报预增,0.01,-2.91,73
+进口博览,0.01,0.35,14
+液冷概念,0.01,-4.57,90
+汽车热管理,0.01,6.16,79
+减速器,0.01,5.77,68
+昨日首板,0.01,-40.93,22
+第三代半导体,0.01,-21.82,71
+新能源车,0.01,106.69,539
+深证100R,0.01,90.28,72
+化债(AMC)概念,0.01,7.92,49
+减肥药,0.01,3.65,30
+周期股,0.01,60.08,68
+人形机器人,0.01,8.77,189
+屏下摄像,0.01,-1.27,9
+茅指数,0.01,62.71,34
+智能家居,0.01,35.06,134
+百元股,0.01,35.52,140
+消费电子概念,0.01,40.53,140
+无线耳机,0.01,34.12,65
+2025三季报扭亏,0.01,0.31,9
+汽车整车,0.01,11.00,23
+熔盐储能,0.01,0.15,9
+特斯拉概念,0.01,7.24,167
+智能穿戴,0.01,41.68,100
+昨日涨停,0.01,-64.20,31
+快递概念,0.01,2.67,35
+AIPC,0.01,14.58,37
+电子竞技,0.01,5.27,27
+高压快充,0.01,4.58,44
+石墨烯,0.01,2.43,50
+REITs概念,0.01,2.76,17
+磁悬浮概念,0.01,13.20,25
+电子烟,0.01,22.47,35
+存储芯片,0.01,31.68,69
+空气能热泵,0.01,1.79,30
+基金重仓,0.01,125.63,349
+ST股,0.01,-2.32,124
+小米概念,0.01,2.29,171
+全息技术,0.01,2.58,10
+贬值受益,0.01,8.27,143
+CRO,0.01,-4.61,31
+2025中报预增,0.01,46.18,332
+百度概念,0.01,-7.02,110
+超级电容,0.01,-11.24,25
+无人驾驶,0.01,26.46,211
+虚拟电厂,0.01,1.27,52
+
+=== 概念板块资金流向排行 ===
+板块名称,主力资金(亿),涨跌幅(%),领涨股
+基金重仓,125.63,0.01,349
+新能源车,106.69,0.01,539
+深证100R,90.28,0.01,72
+大盘成长,87.72,0.02,68
+创业成份,63.70,0.02,76
+茅指数,62.71,0.01,34
+互联网金融,61.70,0.02,153
+储能概念,60.46,0.01,345
+周期股,60.08,0.01,68
+券商概念,52.56,0.03,55
+固态电池,51.62,0.03,178
+电池技术,46.49,0.02,446
+2025中报预增,46.18,0.01,332
+锂电池概念,45.36,0.02,324
+智能穿戴,41.68,0.01,100
+消费电子概念,40.53,0.01,140
+动力电池回收,40.08,0.03,40
+百元股,35.52,0.01,140
+智能家居,35.06,0.01,134
+无线耳机,34.12,0.01,65
+存储芯片,31.68,0.01,69
+无线充电,30.49,0.02,32
+锂矿概念,28.75,0.03,29
+参股期货,28.16,0.02,41
+汽车芯片,26.48,0.02,56
+无人驾驶,26.46,0.01,211
+GDR,24.42,0.04,10
+钠离子电池,23.34,0.03,53
+科创板做市商,23.30,0.03,14
+电子烟,22.47,0.01,35
+3D摄像头,22.01,0.03,8
+燃料电池概念,18.94,0.02,112
+宁组合,16.40,0.02,23
+AIPC,14.58,0.01,37
+星闪概念,13.74,0.02,36
+磁悬浮概念,13.20,0.01,25
+换电概念,12.01,0.02,31
+汽车整车,11.00,0.01,23
+蚂蚁概念,10.98,0.02,52
+数字货币,10.40,0.02,75
+刀片电池,10.08,0.04,11
+人形机器人,8.77,0.01,189
+贬值受益,8.27,0.01,143
+麒麟电池,8.22,0.04,8
+化债(AMC)概念,7.92,0.01,49
+华为汽车,7.88,0.02,100
+特斯拉概念,7.24,0.01,167
+汽车热管理,6.16,0.01,79
+地摊经济,5.92,0.02,27
+减速器,5.77,0.01,68
+电子竞技,5.27,0.01,27
+跨境支付,4.91,0.02,47
+高压快充,4.58,0.01,44
+生物识别,4.48,0.02,42
+ERP概念,4.14,0.02,17
+移动支付,4.00,0.02,56
+减肥药,3.65,0.01,30
+机器人执行器,3.39,0.02,31
+氟化工概念,3.37,0.02,28
+纳米银,3.12,0.04,5
+船舶制造,2.94,0.02,9
+REITs概念,2.76,0.01,17
+快递概念,2.67,0.01,35
+全息技术,2.58,0.01,10
+石墨烯,2.43,0.01,50
+小米概念,2.29,0.01,171
+同步磁阻电机,2.09,0.03,7
+空气能热泵,1.79,0.01,30
+发电机概念,1.33,0.02,21
+托育服务,1.30,0.02,7
+虚拟电厂,1.27,0.01,52
+碳基材料,1.18,0.02,16
+电子身份证,1.16,0.02,34
+商汤概念,0.94,0.02,13
+PLC概念,0.93,0.02,8
+进口博览,0.35,0.01,14
+2025三季报扭亏,0.31,0.01,9
+华为欧拉,0.28,0.02,14
+熔盐储能,0.15,0.01,9
+噪声防治,-0.01,0.02,9
+轮毂电机,-0.05,0.02,9
+玻璃基板,-1.25,0.02,26
+屏下摄像,-1.27,0.01,9
+数字哨兵,-1.53,0.02,10
+ST股,-2.32,0.01,124
+2025三季报预增,-2.91,0.01,73
+科创板做市股,-2.96,0.02,35
+复合集流体,-3.42,0.02,19
+液冷概念,-4.57,0.01,90
+CRO,-4.61,0.01,31
+蓝宝石,-6.10,0.02,11
+百度概念,-7.02,0.01,110
+超级电容,-11.24,0.01,25
+碳化硅,-15.10,0.02,34
+昨日连板,-19.86,0.04,7
+昨日连板_含一字,-20.89,0.04,11
+第三代半导体,-21.82,0.01,71
+昨日首板,-40.93,0.01,22
+昨日涨停_含一字,-63.25,0.02,36
+昨日涨停,-64.20,0.01,31