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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>
88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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直接讀取 Excel 檔案，查看實際內容
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"""
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import pandas as pd
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import sys
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import os
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def read_excel_directly():
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"""直接讀取 Excel"""
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# 尋找 Excel 檔案
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possible_paths = [
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'/Users/ogt/momo_pro_system/缺貨測試.xlsx',
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'/Users/ogt/缺貨測試.xlsx',
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'/Users/ogt/Downloads/缺貨測試.xlsx',
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]
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excel_path = None
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for path in possible_paths:
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if os.path.exists(path):
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excel_path = path
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break
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if not excel_path:
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print("找不到 Excel 檔案，請提供完整路徑")
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print("使用方式: python3 direct_read_excel.py <Excel檔案路徑>")
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return
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print("=" * 80)
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print(f"讀取 Excel: {excel_path}")
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print("=" * 80)
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try:
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# 讀取 Excel
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df = pd.read_excel(excel_path)
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print(f"\n📊 資料概況：")
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print(f" 總行數: {len(df)}")
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print(f" 總欄位數: {len(df.columns)}")
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print(f"\n📋 所有欄位名稱：")
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for i, col in enumerate(df.columns, 1):
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print(f" {i:2d}. {col}")
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print(f"\n📄 第一行完整數據：")
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print("=" * 80)
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for col in df.columns:
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value = df[col].iloc[0]
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value_type = type(value).__name__
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print(f"{col:20s}: {value} (類型: {value_type})")
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print("\n" + "=" * 80)
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# 檢查是否有18個欄位
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if len(df.columns) == 18:
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print("✅ 欄位數量正確：18 個")
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else:
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print(f"⚠️ 欄位數量不對：{len(df.columns)} 個（預期 18 個）")
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except Exception as e:
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print(f"\n❌ 錯誤: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == '__main__':
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if len(sys.argv) > 1:
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# 使用提供的路徑
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excel_path = sys.argv[1]
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if os.path.exists(excel_path):
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print("=" * 80)
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print(f"讀取 Excel: {excel_path}")
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print("=" * 80)
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df = pd.read_excel(excel_path)
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print(f"\n總行數: {len(df)}, 總欄位數: {len(df.columns)}")
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print(f"\n欄位清單：")
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for i, col in enumerate(df.columns, 1):
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print(f" {i}. {col}")
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print(f"\n第一行數據：")
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for col in df.columns:
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print(f" {col}: {df[col].iloc[0]}")
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else:
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print(f"檔案不存在: {excel_path}")
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else:
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read_excel_directly()
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