163 lines
5.5 KiB
Python
163 lines
5.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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测试发货单上传解析功能
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"""
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import pandas as pd
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import numpy as np
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def test_parse_shipment():
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"""测试解析发货单"""
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file_path = '/home/hyx/work/生产管理系统/发货单-20251121.xls'
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# 读取Excel文件
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df = pd.read_excel(file_path, header=None)
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print("=== 解析发货单头部信息 ===")
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# 提取头部信息
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shipment_date = None
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transport_method = None
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# 解析发货日期（第1行，索引2）
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if len(df) > 1 and len(df.columns) > 2:
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shipment_date_raw = df.iloc[1, 2]
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if pd.notna(shipment_date_raw):
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if isinstance(shipment_date_raw, pd.Timestamp):
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shipment_date = shipment_date_raw.strftime('%Y-%m-%d')
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else:
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shipment_date = str(shipment_date_raw)
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print(f"发货日期: {shipment_date}")
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# 解析供货方式（第2行，索引2）
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if len(df) > 2 and len(df.columns) > 2:
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transport_method_raw = df.iloc[2, 2]
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if pd.notna(transport_method_raw):
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transport_method = str(transport_method_raw)
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print(f"供货方式（运输单号）: {transport_method}")
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# 找到表格数据的起始行（序号、采购单号、物料编码...）
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header_row = None
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for i in range(len(df)):
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if df.iloc[i, 0] == '序号':
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header_row = i
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break
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if header_row is None:
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print("错误：无法识别发货单格式，未找到表格头部")
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return
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print(f"\n表格起始行: {header_row}")
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# 从表格起始行读取数据
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data_df = pd.read_excel(file_path, header=header_row)
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print(f"表格列名: {data_df.columns.tolist()}")
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# 过滤掉合计行和备注行（只保留序号为数字的行）
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valid_data = data_df[data_df['序号'].apply(lambda x: isinstance(x, (int, float)) and not pd.isna(x))]
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print(f"\n有效数据行数: {len(valid_data)}")
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# 模拟客户订单数据
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customer_orders = {
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'CGDD002878': {
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'order_date': '2025-11-15',
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'material': 'AP-DZ006 灯条基站',
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'unit_price': 150.5
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},
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'CGDD003082': {
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'order_date': '2025-11-18',
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'material': '飞机盒',
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'unit_price': 5.0
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}
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}
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print("\n=== 解析数据行 ===")
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last_contract_no = None
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for idx, row in valid_data.iterrows():
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print(f"\n序号: {int(row['序号'])}")
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# 提取数据
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contract_no = row.get('采购单号')
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if pd.isna(contract_no):
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if last_contract_no:
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contract_no = last_contract_no
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print(f" 采购单号: {contract_no} (继承上一行)")
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else:
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print(f" 采购单号: 空 (错误)")
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continue
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else:
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contract_no = str(contract_no).strip()
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last_contract_no = contract_no
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print(f" 采购单号（合同编号）: {contract_no}")
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material_code = row.get('物料编码')
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if pd.isna(material_code):
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print(f" 物料编码: 空 (错误)")
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continue
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material_code = str(material_code).strip().replace('\n', ' ')
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print(f" 物料编码（物料名称）: {material_code}")
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spec_model = row.get('规格型号')
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if pd.isna(spec_model):
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spec_model = ''
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else:
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spec_model = str(spec_model).strip()
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print(f" 规格型号: {spec_model}")
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quantity = row.get('实送数量')
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if pd.isna(quantity):
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print(f" 实送数量: 空 (错误)")
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continue
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quantity = int(float(quantity))
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print(f" 实送数量（数量）: {quantity}")
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unit = row.get('单位')
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if pd.isna(unit):
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unit = 'pcs'
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else:
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unit = str(unit).strip()
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print(f" 单位: {unit}")
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# 从备注中提取运输单号（如果有）
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remark = row.get('备注')
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transport_no = transport_method or ''
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if pd.notna(remark):
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remark_str = str(remark).strip()
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if remark_str:
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transport_no = remark_str
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print(f" 运输单号: {transport_no}")
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# 从客户订单中查找单价和下单时间
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unit_price = 0
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order_date = shipment_date or ''
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if contract_no in customer_orders:
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order_info = customer_orders[contract_no]
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# 匹配物料名称
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if material_code in order_info['material']:
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unit_price = order_info['unit_price']
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order_date = order_info['order_date']
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print(f" 含税单价: {unit_price} (从客户订单查找)")
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print(f" 下单时间: {order_date} (从客户订单查找)")
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else:
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print(f" 含税单价: {unit_price} (未找到匹配的客户订单)")
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print(f" 下单时间: {order_date} (使用发货日期)")
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else:
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print(f" 含税单价: {unit_price} (未找到对应的采购单号)")
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print(f" 下单时间: {order_date} (使用发货日期)")
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# 计算含税金额
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total_amount = quantity * unit_price
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print(f" 含税金额: {total_amount}")
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print(f" 交货日期: {shipment_date}")
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print(f" 出货日期: {shipment_date}")
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if __name__ == '__main__':
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test_parse_shipment()
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