Initial commit: cc-cursor 全链路量化研究平台

7 Sprints 全部完成: Sprint 0: 基础设施 (DataManager + MariaDB) Sprint 1: 因子引擎 (34因子/12分类) Sprint 2: VectorBT 回测 (5策略+截面) Sprint 3: Optuna 优化 (+Walk-Forward) Sprint 4: ML 模型 (LightGBM+CatBoost) Sprint 5: Qwen 情绪因子 (三源新闻+日期对齐) Sprint 6: Agent 系统 (4Agent+日报.md/.html) 生产加固 (15项): Tushare双源fallback, SSH自动恢复, pool_pre_ping, save_daily先删后插, load_dotenv绝对路径, 日报5d/20d修复, RiskAgent改上证指数, 昨日对比+数据截止, mac_report utf8mb4, CLAUDE-*.md 9条已知Bug, demo全参数化, djapi数据源归一化, indexDatas API修正 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-07 15:59:05 +08:00
commit 271a9343a5
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+'''
+写一个方法：
+1. 接收日期范围
+2. 根据日期范围从表：xwlb_daily 查询数据：news_days, daily_sub_id, news_improve, news_title
+    按news_days desc, daily_sub_id asc 排序
+3. 调用mysqlHandle.py 里的查询方法查询数据(仔细阅读video/mysqlHandle)
+'''
+# 调用mysqlHandle中的查询方法
+try:
+    from .mysqlHandle import MySQLDB
+except (ImportError, SystemError):  
+    from mysqlHandle import MySQLDB
+import pandas as pd
+def get_xwlb(start_date, end_date):
+    """
+    根据日期范围查询新闻联播数据
+
+    Args:
+        start_date: 开始日期
+        end_date: 结束日期
+
+    Returns:
+        查询结果列表
+    """
+    # SQL注入警告：使用参数化查询防止SQL注入
+    sql = "xwlb_daily"
+    columns = "news_days, daily_sub_id, news_improve, news_title"
+    where = "news_days >= %s AND news_days <=%s order by news_days desc, daily_sub_id asc"
+    params = (start_date, end_date)
+    try:
+        db = MySQLDB()
+        result = db.query_data(sql, columns, where, params)
+        print(f"查询到 {len(result)} 条记录")
+    finally:
+        # 关闭连接
+        db.close()
+    # 转换为pandas DataFrame
+    
+    df = pd.DataFrame(result)
+
+    return df
+
+
+def get_xwlb_fine(start_date, end_date):
+    """
+    根据日期范围查询新闻联播数据
+
+    Args:
+        start_date: 开始日期
+        end_date: 结束日期
+
+    Returns:
+        查询结果列表
+    """
+    # SQL注入警告：使用参数化查询防止SQL注入
+    sql = "xwlb_daily_ext"
+    columns = "news_date as news_days, sub_id as daily_sub_id, news_content as news_improve, news_title"
+    where = "news_date >= %s AND news_date <=%s order by news_date desc, sub_id asc"
+    params = (start_date, end_date)
+    try:
+        db = MySQLDB()
+        result = db.query_data(sql, columns, where, params)
+        print(f"查询到 {len(result)} 条记录")
+    finally:
+        # 关闭连接
+        db.close()
+    # 转换为pandas DataFrame
+    
+    df = pd.DataFrame(result)
+
+    return df
+
+if __name__ == "__main__":
+    # 测试代码
+    start_date = "2025-01-01"
+    end_date = "2025-01-31"
+    result = get_xwlb(start_date, end_date)
+    print("查询结果：")
+    print(result.head())
+    print(f"总记录数：{len(result)}")