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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>
115 lines
3.3 KiB
Python
115 lines
3.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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測試 Excel 欄位是否完整
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"""
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import sys
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import os
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from services.vendor_email_service import VendorEmailService
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import pandas as pd
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import io
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def test_excel_columns():
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"""測試 Excel 欄位生成"""
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print("=" * 80)
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print("測試 Excel 欄位")
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print("=" * 80)
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# 建立測試資料
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test_items = [{
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'id': 1,
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'batch_id': 'TEST001',
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'import_date': '2026-01-13',
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'department': '百貨二處',
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'section': '美妝',
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'pm_name': '陳穎品',
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'product_code': 'DDCV0J-A900HBCUQ-000',
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'product_name': '現貨!【愛爾康4入組】 視舒坦 玻尿酸濕潤液',
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'product_spec': '單品',
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'vendor_code': '33035',
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'vendor_name': '南紡夢時代',
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'monthly_sales_qty': 17,
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'current_stock': 0,
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'monthly_sales_amount': 37520,
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'daily_avg_sales': 0.57,
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'safe_stock_days': 10,
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}]
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# 產生 Excel
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service = VendorEmailService()
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excel_attachment = service._generate_excel_attachment(
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items=test_items,
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filename='test.xlsx'
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)
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if not excel_attachment:
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print("\n❌ Excel 產生失敗")
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return
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print("\n✅ Excel 產生成功")
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# 讀取 Excel 檢查欄位
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excel_data = excel_attachment['data']
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df = pd.read_excel(io.BytesIO(excel_data))
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print(f"\n📊 Excel 欄位數量: {len(df.columns)} 個")
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print("\n📋 欄位清單：")
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print("-" * 80)
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expected_columns = [
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'當前日期', # 1
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'處別', # 2
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'科別', # 3
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'PM姓名', # 4
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'區ID', # 5
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'區名稱', # 6
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'商品ID', # 7
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'商品名稱', # 8
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'單品/組合商品', # 9
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'借採轉', # 10
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'來源供應商編號', # 11
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'來源供應商名稱', # 12
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'商品可賣量', # 13
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'缺貨日期', # 14
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'缺貨天數', # 15
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'缺貨商品前30天業績', # 16
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'最近30天銷售量', # 17
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'', # 18 - 空白欄位
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'庫存水位', # 19
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]
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for i, col in enumerate(df.columns, 1):
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expected = expected_columns[i-1] if i-1 < len(expected_columns) else '?'
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match = '✅' if col == expected else '❌'
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print(f" {i:2d}. [{match}] {col!r} (預期: {expected!r})")
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# 顯示第一行數據
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print("\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] if len(df) > 0 else ''
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print(f" {col}: {value}")
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# 檢查結果
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print("\n" + "=" * 80)
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if list(df.columns) == expected_columns:
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print("✅ 所有欄位都正確！")
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else:
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print("❌ 欄位不符合預期")
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print("\n缺少的欄位：")
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for col in expected_columns:
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if col not in df.columns:
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print(f" - {col!r}")
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print("\n多出的欄位：")
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for col in df.columns:
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if col not in expected_columns:
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print(f" - {col!r}")
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print("=" * 80)
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if __name__ == '__main__':
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test_excel_columns()
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