houhuan
32d41244e5
- 新增智能识别功能，自动检测蓉城易购、烟草公司、杨碧月订单特征 - 修改订单服务流程，在Excel处理前自动执行专用预处理 - 更新无界面API，支持智能识别模式，简化OpenClaw集成 - 完善供应商专用预处理逻辑，修复数量计算和单位换算问题 - 添加变更日志和最终更新报告文档，记录v2.1版本变更
339 lines
13 KiB
Python
339 lines
13 KiB
Python
#!/usr/bin/env python
|
||
# -*- coding: utf-8 -*-
|
||
|
||
"""
|
||
烟草公司订单处理服务
|
||
----------------
|
||
处理烟草公司特定格式的订单明细文件，生成银豹采购单
|
||
"""
|
||
|
||
import os
|
||
import glob
|
||
import datetime
|
||
import pandas as pd
|
||
import xlrd
|
||
import xlwt
|
||
import re
|
||
from xlutils.copy import copy
|
||
from openpyxl import load_workbook
|
||
from typing import Optional, Dict, Any, List, Tuple
|
||
from app.core.utils.log_utils import get_logger
|
||
from app.core.utils.dialog_utils import show_custom_dialog # 导入自定义弹窗工具
|
||
from ..config.settings import ConfigManager
|
||
|
||
logger = get_logger(__name__)
|
||
|
||
class TobaccoService:
|
||
"""烟草公司订单处理服务"""
|
||
|
||
def __init__(self, config: Dict[str, Any]):
|
||
"""
|
||
初始化服务
|
||
|
||
Args:
|
||
config: 配置信息
|
||
"""
|
||
self.config = config
|
||
# 修复配置获取方式，使用fallback机制
|
||
self.output_dir = config.get('Paths', 'output_folder', fallback='data/output')
|
||
self.template_file = config.get('Paths', 'template_file', fallback='templates/银豹-采购单模板.xls')
|
||
# 将烟草订单保存到result目录
|
||
result_dir = "data/result"
|
||
os.makedirs(result_dir, exist_ok=True)
|
||
self.output_file = os.path.join(result_dir, '银豹采购单_烟草公司.xls')
|
||
|
||
def get_latest_tobacco_order(self) -> Optional[str]:
|
||
"""
|
||
获取最新的烟草订单明细文件
|
||
|
||
Returns:
|
||
文件路径或None
|
||
"""
|
||
# 获取今日开始时间戳
|
||
today = datetime.date.today()
|
||
today_start = datetime.datetime.combine(today, datetime.time.min).timestamp()
|
||
|
||
# 查找订单明细文件
|
||
file_pattern = os.path.join(self.output_dir, "订单明细*.xlsx")
|
||
candidates = glob.glob(file_pattern)
|
||
|
||
if not candidates:
|
||
logger.warning("未找到烟草公司订单明细文件")
|
||
return None
|
||
|
||
# 按创建时间排序
|
||
candidates.sort(key=os.path.getctime, reverse=True)
|
||
latest_file = candidates[0]
|
||
|
||
# 检查是否是今天的文件
|
||
if os.path.getctime(latest_file) >= today_start:
|
||
logger.info(f"找到最新烟草订单明细文件: {latest_file}")
|
||
return latest_file
|
||
else:
|
||
logger.warning(f"找到的烟草订单明细文件不是今天创建的: {latest_file}")
|
||
return latest_file # 仍然返回最新文件，但给出警告
|
||
|
||
def preprocess_tobacco_order(self, file_path: str) -> Optional[str]:
|
||
"""
|
||
烟草订单预处理：按用户提供的 B, E, G, H 列索引进行强制清洗
|
||
"""
|
||
try:
|
||
logger.info(f"执行烟草订单专用预处理: {file_path}")
|
||
from app.core.utils.file_utils import smart_read_excel
|
||
|
||
# 烟草格式：Row 0是专卖证号，Row 1是表头，Row 2是合计，Row 3开始是数据
|
||
df_raw = smart_read_excel(file_path, header=None)
|
||
|
||
if len(df_raw) <= 3:
|
||
logger.error("烟草订单文件数据行数不足")
|
||
return None
|
||
|
||
# 提取数据部分 (Row 3开始)
|
||
df_data = df_raw.iloc[3:].reset_index(drop=True)
|
||
|
||
# 用户指定列映射：
|
||
# A列 (Index 0) -> 商品名称
|
||
# B列 (Index 1) -> 商品条码 (盒码)
|
||
# E列 (Index 4) -> 批发价 (单价)
|
||
# G列 (Index 6) -> 订单量 (数量)
|
||
# H列 (Index 7) -> 金额
|
||
|
||
idx_map = {
|
||
0: '商品名称',
|
||
1: '商品条码',
|
||
4: '批发价',
|
||
6: '数量',
|
||
7: '金额'
|
||
}
|
||
|
||
available_indices = [i for i in idx_map.keys() if i < df_data.shape[1]]
|
||
df = df_data.iloc[:, available_indices].copy()
|
||
df.columns = [idx_map[i] for i in available_indices]
|
||
|
||
# 1. 过滤订单量不为0的数据
|
||
df['数量'] = pd.to_numeric(df['数量'], errors='coerce').fillna(0)
|
||
df = df[df['数量'] != 0].copy()
|
||
|
||
if df.empty:
|
||
logger.warning("烟草订单无有效订单量记录")
|
||
return None
|
||
|
||
# 2. 核心清洗逻辑：
|
||
# 数量 = 订单量 * 10 (G列)
|
||
# 单价 = 批发价 / 10 (E列)
|
||
df['单价'] = pd.to_numeric(df['批发价'], errors='coerce').fillna(0) / 10
|
||
df['数量'] = df['数量'] * 10
|
||
|
||
# 3. 校验金额 (H列)
|
||
df['金额'] = pd.to_numeric(df['金额'], errors='coerce').fillna(0)
|
||
|
||
# 4. 只保留需要的列
|
||
final_cols = ['商品条码', '商品名称', '数量', '单价', '金额']
|
||
df_final = df[final_cols].copy()
|
||
|
||
# 保存预处理文件
|
||
out_dir = os.path.dirname(file_path)
|
||
base = os.path.basename(file_path)
|
||
final_path = os.path.join(out_dir, f"预处理之后_{base}")
|
||
df_final.to_excel(final_path, index=False)
|
||
|
||
logger.info(f"烟草订单预处理完成: {final_path}")
|
||
return final_path
|
||
|
||
except Exception as e:
|
||
logger.error(f"烟草订单预处理失败: {e}")
|
||
return None
|
||
|
||
def process_tobacco_order(self, input_file=None):
|
||
"""
|
||
处理烟草订单
|
||
|
||
Args:
|
||
input_file: 输入文件路径，如果为None则自动查找最新文件
|
||
|
||
Returns:
|
||
输出文件路径或None（如果处理失败）
|
||
"""
|
||
try:
|
||
# 如果没有指定输入文件，查找最新的文件
|
||
if input_file is None:
|
||
input_file = self.get_latest_tobacco_order()
|
||
|
||
if input_file is None:
|
||
logger.warning("未找到烟草公司订单明细文件")
|
||
logger.error("未找到可处理的烟草订单明细文件")
|
||
return None
|
||
|
||
logger.info(f"开始处理烟草公司订单: {input_file}")
|
||
|
||
# 读取订单时间和总金额
|
||
order_info = self._read_order_info(input_file)
|
||
if not order_info:
|
||
logger.error(f"读取订单信息失败: {input_file}")
|
||
return None
|
||
|
||
order_time, total_amount = order_info
|
||
|
||
# 读取订单数据
|
||
order_data = self._read_order_data(input_file)
|
||
if order_data is None or order_data.empty:
|
||
logger.error(f"读取订单数据失败: {input_file}")
|
||
return None
|
||
|
||
# 生成银豹采购单
|
||
output_file = self._generate_pospal_order(order_data, order_time)
|
||
if not output_file:
|
||
logger.error("生成银豹采购单失败")
|
||
return None
|
||
|
||
# 获取处理条目数
|
||
total_count = len(order_data)
|
||
|
||
# 输出处理结果
|
||
logger.info(f"烟草公司订单处理成功，订单时间: {order_time}, 总金额: {total_amount}, 处理条目: {total_count}")
|
||
logger.info(f"采购单已生成: {output_file}")
|
||
|
||
# 显示处理结果对话框
|
||
self.show_result_dialog(output_file, order_time, total_count, total_amount)
|
||
|
||
return output_file
|
||
|
||
except Exception as e:
|
||
logger.error(f"处理烟草公司订单时发生错误: {e}", exc_info=True)
|
||
return None
|
||
|
||
def _read_order_info(self, file_path: str) -> Optional[Tuple[str, float]]:
|
||
"""
|
||
读取订单信息（时间和总金额）
|
||
|
||
Args:
|
||
file_path: 文件路径
|
||
|
||
Returns:
|
||
包含订单时间和总金额的元组或None
|
||
"""
|
||
try:
|
||
wb_info = load_workbook(file_path, data_only=True)
|
||
ws_info = wb_info.active
|
||
order_time = ws_info["H1"].value or "（空）"
|
||
total_amount = ws_info["H3"].value or 0
|
||
|
||
return (order_time, total_amount)
|
||
except Exception as e:
|
||
logger.error(f"读取订单信息出错: {e}")
|
||
return None
|
||
|
||
def _read_order_data(self, file_path: str) -> Optional[pd.DataFrame]:
|
||
"""
|
||
读取订单数据
|
||
|
||
Args:
|
||
file_path: 文件路径
|
||
|
||
Returns:
|
||
订单数据DataFrame或None
|
||
"""
|
||
columns = ['商品', '盒码', '条码', '建议零售价', '批发价', '需求量', '订单量', '金额']
|
||
|
||
try:
|
||
from app.core.utils.file_utils import smart_read_excel
|
||
# 读取Excel文件
|
||
df_old = smart_read_excel(file_path, header=None, skiprows=3, names=columns)
|
||
|
||
# 过滤订单量不为0的数据，并计算采购量和单价
|
||
df_filtered = df_old[df_old['订单量'] != 0].copy()
|
||
df_filtered['采购量'] = df_filtered['订单量'] * 10
|
||
df_filtered['采购单价'] = df_filtered['金额'] / df_filtered['采购量']
|
||
df_filtered = df_filtered.reset_index(drop=True)
|
||
|
||
return df_filtered
|
||
except Exception as e:
|
||
logger.error(f"读取订单数据失败: {e}")
|
||
return None
|
||
|
||
def _generate_pospal_order(self, order_data: pd.DataFrame, order_time: str) -> Optional[str]:
|
||
"""
|
||
生成银豹采购单
|
||
|
||
Args:
|
||
order_data: 订单数据
|
||
order_time: 订单时间
|
||
|
||
Returns:
|
||
输出文件路径或None
|
||
"""
|
||
try:
|
||
# 检查模板文件是否存在
|
||
if not os.path.exists(self.template_file):
|
||
logger.error(f"采购单模板文件不存在: {self.template_file}")
|
||
return None
|
||
|
||
# 打开模板，准备写入
|
||
template_rd = xlrd.open_workbook(self.template_file, formatting_info=True)
|
||
template_wb = copy(template_rd)
|
||
template_ws = template_wb.get_sheet(0)
|
||
|
||
# 获取模板中的表头列索引
|
||
header_row = template_rd.sheet_by_index(0).row_values(0)
|
||
barcode_col = header_row.index("条码（必填）")
|
||
amount_col = header_row.index("采购量（必填）")
|
||
gift_col = header_row.index("赠送量")
|
||
price_col = header_row.index("采购单价（必填）")
|
||
|
||
# 写入数据到模板
|
||
for i, row in order_data.iterrows():
|
||
template_ws.write(i + 1, barcode_col, row['盒码']) # 商品条码
|
||
template_ws.write(i + 1, amount_col, int(row['采购量'])) # 采购量
|
||
template_ws.write(i + 1, gift_col, "") # 赠送量为空
|
||
template_ws.write(i + 1, price_col, round(row['采购单价'], 2)) # 采购单价保留两位小数
|
||
|
||
# 确保输出目录存在
|
||
os.makedirs(os.path.dirname(self.output_file), exist_ok=True)
|
||
|
||
# 保存输出文件
|
||
template_wb.save(self.output_file)
|
||
logger.info(f"采购单生成成功: {self.output_file}")
|
||
|
||
return self.output_file
|
||
except Exception as e:
|
||
logger.error(f"生成银豹采购单失败: {e}")
|
||
return None
|
||
|
||
def show_result_dialog(self, output_file, order_time, total_count, total_amount):
|
||
"""
|
||
显示处理结果对话框
|
||
|
||
Args:
|
||
output_file: 输出文件路径
|
||
order_time: 订单时间
|
||
total_count: 总处理条目
|
||
total_amount: 总金额
|
||
"""
|
||
# 创建附加信息
|
||
additional_info = {
|
||
"订单来源": "烟草公司",
|
||
"处理时间": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
||
}
|
||
|
||
# 确保 total_amount 是数字类型
|
||
try:
|
||
if isinstance(total_amount, str):
|
||
total_amount = float(total_amount.replace(',', ''))
|
||
amount_display = f"¥{total_amount:.2f}"
|
||
except (ValueError, TypeError):
|
||
# 如果转换失败，直接使用原始值
|
||
amount_display = f"¥{total_amount}"
|
||
|
||
# 显示自定义对话框
|
||
show_custom_dialog(
|
||
title="烟草订单处理结果",
|
||
message="烟草订单处理完成",
|
||
result_file=output_file,
|
||
time_info=order_time,
|
||
count_info=f"{total_count}个商品",
|
||
amount_info=amount_display,
|
||
additional_info=additional_info
|
||
)
|
||
|
||
# 记录日志
|
||
logger.info(f"烟草公司订单处理成功，订单时间: {order_time}, 总金额: {total_amount}, 处理条目: {total_count}") |