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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>
91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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測試匯入邏輯
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"""
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import pandas as pd
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from datetime import date
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# 讀取 Excel
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excel_path = '/Users/ogt/Downloads/缺貨測試.xlsx'
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df = pd.read_excel(excel_path)
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print("=" * 80)
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print("測試讀取第一行")
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print("=" * 80)
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# 讀取第一行
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row = df.iloc[0]
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print(f"\n區ID: {row.get('區ID')}")
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print(f"區名稱: {row.get('區名稱')}")
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print(f"借採轉: {row.get('借採轉')}")
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print(f"缺貨天數: {row.get('缺貨天數')}")
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print(f"商品可賣量: {row.get('商品可賣量')}")
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print(f"庫存水位: {row.get('庫存水位')}")
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# 測試日期轉換
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print(f"\n當前日期原始值: {row.get('當前日期')} (類型: {type(row.get('當前日期')).__name__})")
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date_value = row.get('當前日期')
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row_import_date = None
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if pd.notna(date_value):
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print(f" pd.notna(date_value): True")
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if isinstance(date_value, (int, float)):
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print(f" 是數字類型")
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parsed_date = pd.to_datetime(date_value, unit='D', origin='1899-12-30', errors='coerce')
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print(f" parsed_date: {parsed_date}, pd.notna: {pd.notna(parsed_date)}")
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if pd.notna(parsed_date):
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row_import_date = parsed_date.date()
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print(f" ✅ 轉換後: {row_import_date}")
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else:
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print(f" pd.notna(date_value): False")
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# 測試缺貨日期轉換
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print(f"\n缺貨日期原始值: {row.get('缺貨日期')} (類型: {type(row.get('缺貨日期')).__name__})")
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stockout_date_value = row.get('缺貨日期')
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stockout_date_obj = None
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if pd.notna(stockout_date_value):
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print(f" pd.notna(stockout_date_value): True")
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if isinstance(stockout_date_value, (int, float)):
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print(f" 是數字類型")
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stockout_parsed = pd.to_datetime(stockout_date_value, unit='D', origin='1899-12-30', errors='coerce')
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print(f" stockout_parsed: {stockout_parsed}, pd.notna: {pd.notna(stockout_parsed)}")
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if pd.notna(stockout_parsed):
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stockout_date_obj = stockout_parsed.date()
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print(f" ✅ 轉換後: {stockout_date_obj}")
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else:
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print(f" pd.notna(stockout_date_value): False")
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# 模擬完整的 record 建立
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record = {
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'import_date': row_import_date if 'row_import_date' in locals() else None,
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'department': row.get('處別'),
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'section': row.get('科別'),
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'pm_name': row.get('PM姓名'),
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'zone_id': row.get('區ID'),
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'zone_name': row.get('區名稱'),
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'product_code': str(row.get('商品ID', '')).strip(),
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'product_name': str(row.get('商品名稱', '')).strip(),
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'product_spec': row.get('單品/組合商品'),
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'borrow_transfer': row.get('借採轉'),
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'sale_price': None,
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'cost_price': None,
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'vendor_code': str(row.get('來源供應商編號', '')).strip(),
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'vendor_name': str(row.get('來源供應商名稱', '')).strip(),
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'current_stock': row.get('商品可賣量'),
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'stockout_date': stockout_date_obj,
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'stockout_days': row.get('缺貨天數'),
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'monthly_sales_amount': row.get('缺貨商品前30天業績'),
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'monthly_sales_qty': row.get('最近30天銷售量'),
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'daily_avg_sales': None,
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'safe_stock_days': row.get('庫存水位'),
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'notes': None
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}
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print("\n" + "=" * 80)
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print("建立的 record:")
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print("=" * 80)
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for key, value in record.items():
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print(f" {key}: {value}")
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