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>
61 lines
1.4 KiB
Python
61 lines
1.4 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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檢查匯入問題
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"""
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import pandas as pd
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import sys
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# 可能的路徑
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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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try:
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df = pd.read_excel(path)
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excel_path = path
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break
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except:
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continue
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if not excel_path:
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print("找不到 Excel 檔案")
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sys.exit(1)
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print("=" * 80)
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print(f"Excel 路徑: {excel_path}")
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print("=" * 80)
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# 讀取 Excel
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df = pd.read_excel(excel_path)
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print(f"\n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（共 {len(df.columns)} 個）：")
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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}: {value} (類型: {value_type})")
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# 檢查關鍵欄位
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print(f"\n檢查關鍵欄位：")
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print("-" * 80)
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key_fields = ['區ID', '區名稱', '借採轉', '缺貨日期', '缺貨天數', '商品可賣量', '庫存水位']
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for field in key_fields:
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if field in df.columns:
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value = df[field].iloc[0]
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print(f" ✅ {field}: {value} (類型: {type(value).__name__})")
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else:
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print(f" ❌ {field}: 欄位不存在")
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