windows-desktop: C端基线（Windows 本地实时分析器 + 采集器 bug 修复）

src/fetcher/cn_news_fetcher.py

@@ -0,0 +1,42 @@
+"""A股新闻采集 - AkShare stock_news_em"""
+import warnings, logging, sqlite3
+from datetime import datetime
+import pandas as pd
+import akshare as ak
+
+logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
+log = logging.getLogger(__name__)
+
+DB = r'C:\Users\lookt\a_stock_timeline\data\a_stock.db'
+
+def fetch_news():
+    df = ak.stock_news_em(symbol='A股')
+    log.info(f'获取到 {len(df)} 行，列: {df.columns.tolist()}')
+    # 列名标准化
+    cn_map = {
+        '关键词': 'keywords',
+        '股票代码': 'ts_code',
+        '新闻标题': 'title',
+        '新闻内容': 'content',
+        '发布时间': 'pub_date',
+        '文章来源': 'source',
+        '新闻链接': 'url',
+    }
+    df = df.rename(columns=cn_map)
+    # 只保留表里有的列
+    db_cols = ['title', 'content', 'pub_date', 'source', 'url', 'keywords']
+    for c in db_cols:
+        if c not in df.columns:
+            df[c] = ''
+    df = df[['id'] + [c for c in db_cols if c in df.columns]] if 'id' in df.columns else df[db_cols]
+    df['inserted_at'] = datetime.now().isoformat()
+    if 'id' not in df.columns:
+        df.insert(0, 'id', range(1, len(df) + 1))
+    conn = sqlite3.connect(DB)
+    df.to_sql('news_cn', conn, if_exists='replace', index=False)
+    conn.close()
+    log.info(f'写入 news_cn: {len(df)} 行')
+    return df
+
+if __name__ == '__main__':
+    fetch_news()