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fix: resolve 500 error on excel export by aligning headers and data row lengths for remark field

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DXC
2026-03-19 11:41:53 +08:00
parent b74464df6b
commit a32d4f6b65
1 changed files with 11 additions and 11 deletions
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20
inventory-backend/app/api/v1/inbound/stock.py
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@ -727,16 +727,16 @@ def export_stocktake():
returned_qty = float(borrow.returned_quantity or 0)
pending_qty = total_qty - returned_qty
ws3.cell(row=row_idx, column=1, value=borrow.borrow_no or '').border = thin_border
ws3.cell(row=row_idx, column=2, value=borrow.borrower_name or '').border = thin_border
ws3.cell(row=row_idx, column=3, value=mat_info['name']).border = thin_border
ws3.cell(row=row_idx, column=4, value=mat_info['sku']).border = thin_border
ws3.cell(row=row_idx, column=5, value=mat_info['spec']).border = thin_border
ws3.cell(row=row_idx, column=6, value=total_qty).border = thin_border
ws3.cell(row=row_idx, column=7, value=returned_qty).border = thin_border
ws3.cell(row=row_idx, column=8, value=pending_qty).border = thin_border
ws3.cell(row=row_idx, column=9, value=to_beijing_time(borrow.borrow_time)).border = thin_border
ws3.cell(row=row_idx, column=10, value='无限期' if not borrow.expected_return_time else to_beijing_time(borrow.expected_return_time)).border = thin_border
ws4.cell(row=row_idx, column=1, value=borrow.borrow_no or '').border = thin_border
ws4.cell(row=row_idx, column=2, value=borrow.borrower_name or '').border = thin_border
ws4.cell(row=row_idx, column=3, value=mat_info['name']).border = thin_border
ws4.cell(row=row_idx, column=4, value=mat_info['sku']).border = thin_border
ws4.cell(row=row_idx, column=5, value=mat_info['spec']).border = thin_border
ws4.cell(row=row_idx, column=6, value=total_qty).border = thin_border
ws4.cell(row=row_idx, column=7, value=returned_qty).border = thin_border
ws4.cell(row=row_idx, column=8, value=pending_qty).border = thin_border
ws4.cell(row=row_idx, column=9, value=to_beijing_time(borrow.borrow_time)).border = thin_border
ws4.cell(row=row_idx, column=10, value='无限期' if not borrow.expected_return_time else to_beijing_time(borrow.expected_return_time)).border = thin_border
# ===== Sheet 5: 未盘点明细(疑似漏盘) =====
# 逻辑：获取已盘点的集合，遍历库存表，找出未盘点且有库存的物资