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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>
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
# cSpell:ignore momo
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import os
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import sys
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import pandas as pd # type: ignore
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from sqlalchemy import create_engine, inspect
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# 設定路徑
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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DB_PATH = os.path.join(BASE_DIR, 'data', 'momo_database.db')
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def inspect_columns():
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print("🔍 正在檢視資料庫欄位結構...")
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if not os.path.exists(DB_PATH):
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print(f"❌ 資料庫檔案不存在: {DB_PATH}")
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return
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try:
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engine = create_engine(f"sqlite:///{DB_PATH}")
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inspector = inspect(engine)
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table_name = 'realtime_sales_monthly'
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if table_name not in inspector.get_table_names():
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print(f"❌ 找不到資料表: {table_name}")
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return
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# 1. 列出所有欄位
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columns = [col['name'] for col in inspector.get_columns(table_name)]
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print(f"\n📋 資料表 [{table_name}] 包含以下 {len(columns)} 個欄位:")
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print("-" * 50)
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for i, col in enumerate(columns):
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print(f"{i+1}. {col}")
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print("-" * 50)
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# 2. 顯示前 3 筆資料範例 (幫助判斷欄位內容)
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print("\n📊 資料範例 (前 3 筆):")
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df = pd.read_sql(f"SELECT * FROM {table_name} LIMIT 3", engine)
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print(df.to_string())
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print("-" * 50)
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# 3. 特別檢查是否有訂單編號相關欄位
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potential_order_ids = [c for c in columns if '訂單' in c or '編號' in c or 'ID' in c or 'No' in c]
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if potential_order_ids:
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print(f"💡 發現可能的訂單編號欄位: {potential_order_ids}")
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else:
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print("⚠️ 未發現明顯的訂單編號欄位 (可能無法計算真實客單價)")
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except Exception as e:
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print(f"❌ 讀取失敗: {e}")
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if __name__ == "__main__":
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inspect_columns()
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