#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
測試匯入邏輯
"""

import pandas as pd
from datetime import date

# 讀取 Excel
excel_path = '/Users/ogt/Downloads/缺貨測試.xlsx'
df = pd.read_excel(excel_path)

print("=" * 80)
print("測試讀取第一行")
print("=" * 80)

# 讀取第一行
row = df.iloc[0]

print(f"\n區ID: {row.get('區ID')}")
print(f"區名稱: {row.get('區名稱')}")
print(f"借採轉: {row.get('借採轉')}")
print(f"缺貨天數: {row.get('缺貨天數')}")
print(f"商品可賣量: {row.get('商品可賣量')}")
print(f"庫存水位: {row.get('庫存水位')}")

# 測試日期轉換
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__})")
date_value = row.get('當前日期')
row_import_date = None
if pd.notna(date_value):
    print(f"  pd.notna(date_value): True")
    if isinstance(date_value, (int, float)):
        print(f"  是數字類型")
        parsed_date = pd.to_datetime(date_value, unit='D', origin='1899-12-30', errors='coerce')
        print(f"  parsed_date: {parsed_date}, pd.notna: {pd.notna(parsed_date)}")
        if pd.notna(parsed_date):
            row_import_date = parsed_date.date()
            print(f"  ✅ 轉換後: {row_import_date}")
else:
    print(f"  pd.notna(date_value): False")

# 測試缺貨日期轉換
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__})")
stockout_date_value = row.get('缺貨日期')
stockout_date_obj = None
if pd.notna(stockout_date_value):
    print(f"  pd.notna(stockout_date_value): True")
    if isinstance(stockout_date_value, (int, float)):
        print(f"  是數字類型")
        stockout_parsed = pd.to_datetime(stockout_date_value, unit='D', origin='1899-12-30', errors='coerce')
        print(f"  stockout_parsed: {stockout_parsed}, pd.notna: {pd.notna(stockout_parsed)}")
        if pd.notna(stockout_parsed):
            stockout_date_obj = stockout_parsed.date()
            print(f"  ✅ 轉換後: {stockout_date_obj}")
else:
    print(f"  pd.notna(stockout_date_value): False")

# 模擬完整的 record 建立
record = {
    'import_date': row_import_date if 'row_import_date' in locals() else None,
    'department': row.get('處別'),
    'section': row.get('科別'),
    'pm_name': row.get('PM姓名'),
    'zone_id': row.get('區ID'),
    'zone_name': row.get('區名稱'),
    'product_code': str(row.get('商品ID', '')).strip(),
    'product_name': str(row.get('商品名稱', '')).strip(),
    'product_spec': row.get('單品/組合商品'),
    'borrow_transfer': row.get('借採轉'),
    'sale_price': None,
    'cost_price': None,
    'vendor_code': str(row.get('來源供應商編號', '')).strip(),
    'vendor_name': str(row.get('來源供應商名稱', '')).strip(),
    'current_stock': row.get('商品可賣量'),
    'stockout_date': stockout_date_obj,
    'stockout_days': row.get('缺貨天數'),
    'monthly_sales_amount': row.get('缺貨商品前30天業績'),
    'monthly_sales_qty': row.get('最近30天銷售量'),
    'daily_avg_sales': None,
    'safe_stock_days': row.get('庫存水位'),
    'notes': None
}

print("\n" + "=" * 80)
print("建立的 record:")
print("=" * 80)
for key, value in record.items():
    print(f"   {key}: {value}")