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149 lines
5.4 KiB
149 lines
5.4 KiB
1 month ago
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import pandas as pd
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import io
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import os
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from openpyxl import Workbook
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from openpyxl.styles import Alignment, PatternFill
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from openpyxl.utils import get_column_letter
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from openpyxl.worksheet.datavalidation import DataValidation
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from typing import List
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from config.env import CachePathConfig
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def worship():
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print("""
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////////////////////////////////////////////////////////////////////
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// _ooOoo_ //
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// o8888888o //
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// 88" . "88 //
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// (| ^_^ |) //
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// O\ = /O //
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// ____/`---'\____ //
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// .' \\| |// `. //
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// / \\||| : |||// \ //
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// / _||||| -:- |||||- \ //
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// | | \\\ - /// | | //
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// | \_| ''\---/'' | | //
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// \ .-\__ `-` ___/-. / //
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// ___`. .' /--.--\ `. . ___ //
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// ."" '< `.___\_<|>_/___.' >'"". //
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// | | : `- \`.;`\ _ /`;.`/ - ` : | | //
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// \ \ `-. \_ __\ /__ _/ .-` / / //
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// ========`-.____`-.___\_____/___.-`____.-'======== //
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// `=---=' //
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// ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ //
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// 佛祖保佑 永不宕机 永无BUG //
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////////////////////////////////////////////////////////////////////
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""")
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def bytes2human(n, format_str="%(value).1f%(symbol)s"):
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"""Used by various scripts. See:
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http://goo.gl/zeJZl
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>>> bytes2human(10000)
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'9.8K'
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>>> bytes2human(100001221)
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'95.4M'
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"""
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symbols = ('B', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB')
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prefix = {}
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for i, s in enumerate(symbols[1:]):
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prefix[s] = 1 << (i + 1) * 10
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for symbol in reversed(symbols[1:]):
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if n >= prefix[symbol]:
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value = float(n) / prefix[symbol]
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return format_str % locals()
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return format_str % dict(symbol=symbols[0], value=n)
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def bytes2file_response(bytes_info):
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yield bytes_info
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def export_list2excel(list_data: List):
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"""
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工具方法：将需要导出的list数据转化为对应excel的二进制数据
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:param list_data: 数据列表
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:return: 字典信息对应excel的二进制数据
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"""
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df = pd.DataFrame(list_data)
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binary_data = io.BytesIO()
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df.to_excel(binary_data, index=False, engine='openpyxl')
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binary_data = binary_data.getvalue()
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return binary_data
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def get_excel_template(header_list: List, selector_header_list: List, option_list: List[dict]):
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"""
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工具方法：将需要导出的list数据转化为对应excel的二进制数据
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:param header_list: 表头数据列表
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:param selector_header_list: 需要设置为选择器格式的表头数据列表
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:param option_list: 选择器格式的表头预设的选项列表
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:return: 模板excel的二进制数据
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"""
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# 创建Excel工作簿
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wb = Workbook()
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# 选择默认的活动工作表
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ws = wb.active
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# 设置表头文字
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headers = header_list
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# 设置表头背景样式为灰色，前景色为白色
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header_fill = PatternFill(start_color="ababab", end_color="ababab", fill_type="solid")
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# 将表头写入第一行
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for col_num, header in enumerate(headers, 1):
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cell = ws.cell(row=1, column=col_num)
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cell.value = header
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cell.fill = header_fill
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# 设置列宽度为16
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ws.column_dimensions[chr(64 + col_num)].width = 12
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# 设置水平居中对齐
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cell.alignment = Alignment(horizontal='center')
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# 设置选择器的预设选项
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options = option_list
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# 获取selector_header的字母索引
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for selector_header in selector_header_list:
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column_selector_header_index = headers.index(selector_header) + 1
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# 创建数据有效性规则
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header_option = []
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for option in options:
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if option.get(selector_header):
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header_option = option.get(selector_header)
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dv = DataValidation(type="list", formula1=f'"{",".join(header_option)}"')
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# 设置数据有效性规则的起始单元格和结束单元格
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dv.add(
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f'{get_column_letter(column_selector_header_index)}2:{get_column_letter(column_selector_header_index)}1048576')
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# 添加数据有效性规则到工作表
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ws.add_data_validation(dv)
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# 保存Excel文件为字节类型的数据
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file = io.BytesIO()
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wb.save(file)
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file.seek(0)
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# 读取字节数据
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excel_data = file.getvalue()
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return excel_data
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def get_filepath_from_url(url: str):
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"""
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工具方法：根据请求参数获取文件路径
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:param url: 请求参数中的url参数
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:return: 文件路径
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"""
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file_info = url.split("?")[1].split("&")
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task_id = file_info[0].split("=")[1]
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file_name = file_info[1].split("=")[1]
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task_path = file_info[2].split("=")[1]
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filepath = os.path.join(CachePathConfig.PATH, task_path, task_id, file_name)
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return filepath
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