98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
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import pandas as pd
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from datetime import datetime
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import os
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# 配置参数
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CONFIG = {
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'input_csv': r'C:\Users\Administrator\Desktop\European Local O&M\all-active-0519.csv.csv',
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'output_dir': './reports',
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'required_columns': ['car_vins', 'active_status', 'MATERIAL', 'Area']
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}
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def validate_data(df):
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"""校验数据完整性"""
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missing_cols = [col for col in CONFIG['required_columns'] if col not in df.columns]
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if missing_cols:
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raise ValueError(f"CSV文件中缺少必要字段: {','.join(missing_cols)}")
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def generate_report():
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now = datetime.now()
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today_str = now.strftime("%Y-%m-%d %H:%M:%S")
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filename_date = now.strftime("%Y-%m-%d")
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try:
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print(f"\n📅 当前时间：{today_str}")
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print("正在读取原始数据...")
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df = pd.read_csv(CONFIG['input_csv'], encoding='utf-8-sig')
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print("校验数据结构...")
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validate_data(df)
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# 拆分激活与未激活
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active_df = df[df['active_status'] == 'active'].copy()
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inactive_df = df[df['active_status'] != 'active'].copy()
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print(f"✅ 已激活车辆总数：{len(active_df)}")
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print(f"❗ 未激活车辆总数：{len(inactive_df)}")
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if inactive_df.empty:
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print("⚠️ 所有车辆均为激活状态，无需生成未激活清单")
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else:
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# 处理未激活车辆数据
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inactive_df.insert(0, 'ReportDate', filename_date)
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inactive_df.fillna({'Area': '未分配', 'MATERIAL': '未知物料'}, inplace=True)
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# 保存未激活车辆清单
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os.makedirs(CONFIG['output_dir'], exist_ok=True)
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output_path = f"{CONFIG['output_dir']}/Inactive_Vehicles_{filename_date}.xlsx"
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with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
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inactive_df.to_excel(writer, index=False, sheet_name='InactiveVehicles')
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print(f"\n📁 未激活车辆清单已生成：{os.path.abspath(output_path)}")
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if active_df.empty:
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print("⚠️ 无激活车辆，跳过分析")
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return
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# 分析激活车辆数据
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active_df.fillna({'Area': '未分配', 'MATERIAL': '未知物料'}, inplace=True)
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area_summary = (
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active_df.groupby('Area')['car_vins']
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.count()
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.reset_index()
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.rename(columns={'car_vins': 'ActiveCount'})
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.sort_values(by='ActiveCount', ascending=False)
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)
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material_summary = (
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active_df.groupby('MATERIAL')['car_vins']
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.count()
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.reset_index()
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.rename(columns={'car_vins': 'ActiveCount'})
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.sort_values(by='ActiveCount', ascending=False)
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)
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# 控制台输出分析结果
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print("\n📊 区域分布统计（已激活车辆）：")
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print(area_summary.to_string(index=False))
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print("\n📦 销量前10的物料号（已激活车辆）：")
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top10_materials = material_summary.head(10)
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print(top10_materials.to_string(index=False))
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except FileNotFoundError:
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print(f"❌ 错误：未找到输入文件 {CONFIG['input_csv']}")
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except Exception as e:
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print(f"❌ 发生异常：{str(e)}")
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if __name__ == "__main__":
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print("\n===== 奇瑞车辆日报生成器 =====")
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input("请将最新csv放入daily_data文件夹后按回车键开始...")
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generate_report()
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input("\n处理完成！按任意键退出...")
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