From 0640355d8fcd66aa0a6c800c26d953d971219ab2 Mon Sep 17 00:00:00 2001
From: aszerW <aszer27937@gmail.com>
Date: Sun, 12 Oct 2025 13:36:17 +0800
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---
 update_data.py | 93 ++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100644 update_data.py

diff --git a/update_data.py b/update_data.py
new file mode 100644
index 0000000..ace1f51
--- /dev/null
+++ b/update_data.py
@@ -0,0 +1,93 @@
+import pandas as pd
+from db_config import DatabaseManager, DatabaseConfig
+from loguru import logger
+from datetime import datetime
+import akshare as ak
+from index_downloader import get_all_stock_index
+import schedule
+import time
+
+
+def get_latest_index_kline_date():
+    # df = pd.read_csv(
+    #     "/Users/aszer/Documents/vscode/etf/index_all_stock.csv", encoding="utf-8-sig"
+    # )
+    # index_hist_df = pd.read_csv(
+    #     "/Users/aszer/Documents/vscode/etf/data/index_history_data/000001.csv",
+    #     encoding="utf-8-sig",
+    # )
+    df = get_all_stock_index()
+    column_mapping = {
+        "date": "date",
+        "代码": "code",
+        "今开": "open",
+        "最高": "high",
+        "最低": "low",
+        "最新价": "close",
+        "成交量": "volume",
+    }
+
+    df["date"] = None
+    df = df.rename(columns=column_mapping)
+    df = df[column_mapping.values()]
+    df = df.drop_duplicates(subset=["code"])
+
+    # 获取上证指数最近30天的数据
+    code = "000001"  # 用来获取当前最新k线数据的日期，参考 上证指数
+    latest = df[df["code"] == code].to_dict(orient="records")[0]
+    h, l, o, c = latest["high"], latest["low"], latest["open"], latest["close"]
+    cur_date = datetime.now().strftime("%Y%m%d")
+    seven_days_ago = (datetime.now() - pd.Timedelta(days=30)).strftime("%Y%m%d")
+    index_hist_df = ak.index_zh_a_hist(
+        symbol=code,
+        period="daily",
+        start_date=seven_days_ago,
+        end_date=cur_date,
+    )
+
+    index_hist_df = index_hist_df.sort_values(
+        by="日期", ascending=False
+    )  # 按时间降序排列
+    index_hist_df = index_hist_df[
+        (index_hist_df["最高"] == h)
+        & (index_hist_df["最低"] == l)
+        & (index_hist_df["开盘"] == o)
+        & (index_hist_df["收盘"] == c)
+    ]
+    index_hist = index_hist_df.to_dict(orient="records")[0]
+    hist_date = index_hist["日期"]
+    df["date"] = hist_date
+    return df
+
+
+def main():
+    db_config = DatabaseConfig()
+    logger.info(f"数据库连接: {db_config.connection_string}")
+
+    # 如果只是测试连接
+    db_manager = DatabaseManager(db_config)
+    if db_manager.test_connection():
+        logger.info("✅ 数据库连接测试成功")
+    else:
+        logger.error("❌ 数据库连接测试失败")
+
+    df = get_latest_index_kline_date()
+    logger.info(df.head())
+    latest_date = df["date"].values[0]
+    res = db_manager.execute_query(
+        f"SELECT date, code, open, high, low, close, volume FROM public.index_kline where code='000001' and date='{latest_date}' order by date desc limit 1;"
+    )
+    # print(dict(res))
+    logger.info(len(res))
+    if len(res) == 0:
+        res = db_manager.insert_dataframe(df, "index_kline")
+        logger.info(res)
+
+
+if __name__ == "__main__":
+    logger.info(datetime.now())
+    schedule.every().day.at("16:00").do(main)
+    while True:
+        schedule.run_pending()
+        time.sleep(1)
+