1b4f3a7bbe
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- 建立 Gitea Actions CD pipeline (.gitea/workflows/cd.yaml) - 部署模式: rsync Python 檔案至 188 → docker restart (volume mount) - Dockerfile/requirements 變動時自動重建 Docker image - 部署通知: Telegram (開始/成功/失敗) - 健康檢查: https://mo.wooo.work/health (最多 5 次重試) - 同步最新 CLAUDE.md / ADR-008 / memory (2026-04-19) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
import pandas as pd # type: ignore
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import os
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import sys
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# 設定專案路徑以導入模組
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from database.manager import DatabaseManager
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def check_monthly_stats():
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print("📊 正在分析資料庫中的月度業績數據...")
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db = DatabaseManager()
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try:
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# 1. 取得資料表欄位名稱
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df_head = pd.read_sql("SELECT * FROM realtime_sales_monthly LIMIT 1", db.engine)
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cols = df_head.columns.tolist()
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# 自動尋找日期欄位
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date_col = next((c for c in cols if '日期' in c or 'Date' in c), None)
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if not date_col:
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print(f"❌ 找不到日期欄位。現有欄位: {cols}")
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return
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print(f"📅 偵測到日期欄位: {date_col}")
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# 2. 讀取日期資料 (只讀取日期欄位以節省記憶體)
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df = pd.read_sql(f"SELECT \"{date_col}\" FROM realtime_sales_monthly", db.engine)
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if df.empty:
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print("⚠️ 資料表為空。")
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return
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# 3. 轉換與統計
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df[date_col] = pd.to_datetime(df[date_col], errors='coerce')
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monthly_counts = df.groupby(df[date_col].dt.to_period('M')).size()
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print("\n" + "="*30)
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print("🗓️ 各月份資料筆數統計")
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print("="*30)
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if monthly_counts.empty:
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print("無法解析日期或無資料。")
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else:
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for period, count in monthly_counts.items():
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print(f"{period}: {count:6d} 筆")
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print("="*30)
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print(f"總計: {len(df)} 筆")
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except Exception as e:
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print(f"❌ 讀取或分析失敗: {e}")
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if __name__ == "__main__":
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check_monthly_stats() |