77 lines
1.8 KiB
Python
77 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
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"""
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普康健康_影像处理
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"""
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# 加载模块
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from pathlib import Path
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import zipfile
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from utils.pandas_extension import open_csv, save_as_workbook
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if __name__ == "__main__":
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print("正在本地加载待处理影像信息...", end="")
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dataframe = open_csv(file_name="待处理影像信息.csv")
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dataframe["处理结果"] = "待处理"
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# 统计行数
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rows = dataframe.shape[0]
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print(f"已完成，行数为 {rows}")
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print("正在处理影像件...", end="")
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for index, row in dataframe.iterrows():
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# 推送月份
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push_month = row["推送月份"]
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# 影像件名称
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image_name = row["影像件名称"]
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# 推送山东国网影像件名称
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push_name = row["推送山东国网影像件名称"]
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# 压缩包名称
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zip_name = row["压缩包名称"]
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# 处理结果
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result = "发生其它异常"
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# 创建影像件PATH对象
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image = Path(f"images/{push_month}/{image_name}")
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# 若影像件PATH对象不存在则处理结果为“未找到影像件”
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if not image.exists():
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result = "未找到影像件"
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continue
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# ZIP压缩
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with zipfile.ZipFile(file=f"zips/{zip_name}", mode='w', compression=zipfile.ZIP_DEFLATED) as file:
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# 压缩包内影像件名称为推送山东国网影像件名称
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file.write(image, arcname=push_name) # 指定在压缩包内影像件名称
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result = "处理成功"
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dataframe.loc[index, "处理结果"] = result
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print("已完成")
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print("正在保存为工作簿...", end="")
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save_as_workbook(worksheets=[("Sheet1", dataframe)], workbook_name="results.xlsx")
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print("已完成")
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