308 lines
14 KiB
Python
308 lines
14 KiB
Python
#!/bin/python
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#coding: utf-8
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# +-------------------------------------------------------------------
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# | django-vue-lyadmin 专业版
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# +-------------------------------------------------------------------
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# | Author: lybbn
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# +-------------------------------------------------------------------
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# | QQ: 1042594286
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# +-------------------------------------------------------------------
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# | EditDate: 2024-03-25
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# +-------------------------------------------------------------------
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# | 版本: 2.2
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# +-------------------------------------------------------------------
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# ------------------------------
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# 导出excel数据，支持导出图片(单张url网络地址),支持嵌套(1层)数据 如 ： {'a':'b','c':{'d':'e'}} 要获取d的值，field_data 直接{'c.d':"嵌套1层获取"}即可
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# 网络图片不存在会直接写入图片url网络地址
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# ------------------------------
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import os
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import re
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import time
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import json
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import random
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import math
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from io import BytesIO
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import requests
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from django.conf import settings
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from utils.common import getfulldomian
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from rest_framework.request import Request
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from urllib.request import pathname2url
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from urllib.parse import urlparse
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from openpyxl import Workbook
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from openpyxl.drawing.image import Image
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from openpyxl.styles import Alignment
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from openpyxl.utils import get_column_letter
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from openpyxl.worksheet.table import Table, TableStyleInfo
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from openpyxl.drawing.xdr import XDRPositiveSize2D
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from openpyxl.utils.units import pixels_to_EMU
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from openpyxl.drawing.spreadsheet_drawing import OneCellAnchor, AnchorMarker
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from django.utils.encoding import escape_uri_path # 中文表名称转译。
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from django.http import FileResponse
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from django.core.validators import URLValidator
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class LyExportExcel:
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"""
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通用导出excel2.0
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"""
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default_file_name = "ly"+time.strftime('%Y%m%d%H%M%S')+ str(random.randint(10, 99))+".xlsx"
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def __init__(self,request: Request,downloadMode="temp",fileName=default_file_name):
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# 表格表头最大宽度，默认80个字符
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self.export_column_width = 80
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# 下载模式：temp 内存型临时下载（系统不保存文件，内存文件流直接下载）、url 下载链接（系统保存文件，返回http/https下载链接地址）
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self.download_mode = downloadMode
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# 保存文件名,默认为自定义时间字符串
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self.file_name = fileName
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# 保存目录
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self.save_dir = os.path.join('systemexport', time.strftime('%Y-%m-%d', time.localtime(time.time())))
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# 保存位置，默认保存到media/systemexport/日期 目录
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self.save_path = os.path.join(settings.MEDIA_ROOT, self.save_dir,self.file_name)
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# 下载URL
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self.download_url = getfulldomian(request) + settings.MEDIA_URL + pathname2url(self.save_dir) + "/" + self.file_name
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# 是否显示图片,否的话为地址
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self.show_image = True
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def is_image(self,urlstr):
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"""
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是否为图片地址
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"""
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val = URLValidator(schemes=('http', 'https'))
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try:
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val(urlstr)
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white_list = ['.png','.jpg','.jpeg','.gif']
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a = urlparse(urlstr)
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file_path = a.path
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file_name = os.path.basename(file_path)
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_,file_suffix = os.path.splitext(file_name)
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if file_suffix.lower() in white_list:
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return True
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return False
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except:#非图片地址
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return False
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def is_number(self,num):
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"""
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是否为数字
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"""
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try:
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float(num)
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return True
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except ValueError:
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pass
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try:
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import unicodedata
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unicodedata.numeric(num)
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return True
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except (TypeError, ValueError):
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pass
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return False
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def get_string_len(self, string):
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"""
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获取字符串最大长度
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"""
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length = 4
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if string is None:
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return length
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if self.is_number(string):
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string = str(string)
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for char in string:
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length += 2.1 if ord(char) > 256 else 1
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return round(length, 1) if length <= self.export_column_width else self.export_column_width
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def pixels_to_points(self,value, dpi=96):
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"""96 dpi, 72i"""
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return value * 72 / dpi
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def inserImg(self,sheet,Imgpath,row_index,col_index):
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"""
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插入图片
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"""
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#下载imgpath网络地址到本地
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response = requests.get(Imgpath)
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img = BytesIO(response.content)
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# 读取图像
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imgToInsert = Image(img)
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oriImgH, oriImgW = imgToInsert.height, imgToInsert.width
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# 图像等比例缩放因子
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resize_factor = 0.6
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w_h_ratio = oriImgW/oriImgH
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# 等比压缩大小
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# resize_H = int(resize_factor * oriImgH)
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# resize_W = int(resize_factor * resize_H * w_h_ratio)
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# 固定大小
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resize_H = 40
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resize_W = 40
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# 图像在Excel里面的大小
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imgsize_excel = XDRPositiveSize2D(pixels_to_EMU(resize_W), pixels_to_EMU(resize_H))
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# 设置单元格大小，单元格默认宽度单位：字符；高度单位：point(磅)
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cell_height = int(self.pixels_to_points(resize_H+10, dpi=96)) #高度上增加10个像素放大单元格
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# cell_width = int(resize_W/8) + 2 # 宽度上增加16（2*8）个像素放大单元格
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# 注意这里的行、列索引从1开始
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sheet.row_dimensions[row_index].height = cell_height
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col_letter = get_column_letter(col_index)
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# sheet.column_dimensions[col_letter].width = cell_width
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x_pad = 8
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y_pad = 5
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# 注意这里的行、列索引从0开始
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marker = AnchorMarker(col=col_index-1, colOff=pixels_to_EMU(x_pad), row=row_index-1, rowOff=pixels_to_EMU(y_pad))
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imgToInsert.anchor = OneCellAnchor(_from=marker, ext=imgsize_excel)
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sheet.add_image(imgToInsert)
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return sheet
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def cell_nomall_data(self,ws,index,h_index,df_len_max,val,left_center):
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"""
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处理cell正常数据
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"""
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#处理val是空列表报错
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if isinstance(val,list) and not val:
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val = ""
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if isinstance(val,dict) or isinstance(val,list):
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val = str(val)
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ws.cell(row=index+2, column=h_index+1).value = val
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ws.cell(row=index+2, column=h_index+1).alignment = left_center
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# 计算最大列宽度
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result_column_width = self.get_string_len(val)
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if h_index !=0 and result_column_width > df_len_max[h_index]:
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df_len_max[h_index] = result_column_width
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return ws
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def cell_image_data(self,ws,index,h_index,df_len_max,val):
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"""
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处理cell图像插入
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"""
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self.inserImg(ws,val,index+2,h_index+1)
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# 计算图片最大列宽度
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if h_index !=0 and 10 > df_len_max[h_index]:
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df_len_max[h_index] = 10
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return ws
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def write_cell_data(self,ws,index,h_index,df_len_max,val,left_center):
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"""
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处理cell插入
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"""
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if self.show_image and self.is_image(val):
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try:
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self.inserImg(ws,val,index+2,h_index+1)
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# 计算图片最大列宽度
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if h_index !=0 and 10 > df_len_max[h_index]:
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df_len_max[h_index] = 10
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except:
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self.cell_nomall_data(ws,index,h_index,df_len_max,val,left_center)
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else:
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self.cell_nomall_data(ws,index,h_index,df_len_max,val,left_center)
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return ws
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def export_data(self, field_data: dict, data: list):
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"""
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自定义导出头部和数据源
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:param field_data: 首行数据源（表头） 如：field_data = {'name':'姓名','age':'年龄'} #字典形式key为导出字段名，value为导出excel表头名
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:param data: 数据源
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:return:
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"""
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assert field_data, "请配置对应的导出模板字段"
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# assert data, "请配置对应的数据源"
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wb = Workbook()
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ws = wb.active
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#左垂直居中
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left_center = Alignment(
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horizontal='left', # 水平对齐，可选general、left、center、right、fill、justify、centerContinuous、distributed
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vertical='center', # 垂直对齐， 可选top、center、bottom、justify、distributed
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text_rotation=0, # 字体旋转，0~180整数
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wrap_text=False, # 是否自动换行
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shrink_to_fit=False, # 是否缩小字体填充
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indent=0, # 缩进值
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)
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#左垂直居中(允许自动换行)
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left_center_wrap = Alignment(
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horizontal='left', # 水平对齐，可选general、left、center、right、fill、justify、centerContinuous、distributed
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vertical='center', # 垂直对齐， 可选top、center、bottom、justify、distributed
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text_rotation=0, # 字体旋转，0~180整数
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wrap_text=True, # 是否自动换行
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shrink_to_fit=False, # 是否缩小字体填充
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indent=0, # 缩进值
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)
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#表头名
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header_data = ["序号",*field_data.values()]
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#表头字段
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header_key = ["#",*field_data.keys()]
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df_len_max = [self.get_string_len(i) for i in header_data]
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row = get_column_letter(len(field_data) + 1)
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column = 1
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# 表的首行
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ws.append(header_data)
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for index, results in enumerate(data):
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for h_index, h_item in enumerate(header_key):
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if h_index == 0:
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ws.cell(row=index+2, column=h_index+1).value = index+1
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ws.cell(row=index+2, column=h_index+1).alignment = left_center
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else:
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for key,val in results.items():
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if '.' in h_item and isinstance(val,dict):#嵌套模式读取(1层嵌套)
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nest_keys = h_item.split(".")
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if key == nest_keys[0]:
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try:
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realval = val[nest_keys[1]]
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self.write_cell_data(ws,index,h_index,df_len_max,realval,left_center)
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except:
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self.write_cell_data(ws,index,h_index,df_len_max,val,left_center)
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elif isinstance(val,list) and len(val)>0:
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if '.' in h_item and isinstance(val[0],dict):
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nest_keys = h_item.split(".")
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if key == nest_keys[0]:
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try:
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newVal = []
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for n in val:
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newVal.append(n[nest_keys[1]])
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#列表多个数据换行处理
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realval = "\n".join(newVal)
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self.write_cell_data(ws,index,h_index,df_len_max,realval,left_center_wrap)
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except:
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self.write_cell_data(ws,index,h_index,df_len_max,json.dumps(val),left_center)
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else:
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if key == h_item:
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if isinstance(val[0],str) or isinstance(val[0],int) or isinstance(val[0],float):
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#列表多个数据换行处理
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realval = "\n".join(val)
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self.write_cell_data(ws,index,h_index,df_len_max,realval,left_center_wrap)
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else:
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realval = json.dumps(val)
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self.write_cell_data(ws,index,h_index,df_len_max,realval,left_center)
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else:
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if key == h_item:
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self.write_cell_data(ws,index,h_index,df_len_max,val,left_center)
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column += 1
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# 更新列宽
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for index, width in enumerate(df_len_max):
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ws.column_dimensions[get_column_letter(index + 1)].width = width
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# 添加过滤头
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tab = Table(displayName="Table", ref=f"A1:{row}{column}")
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style = TableStyleInfo(
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name="TableStyleLight9",# TableStyleLight 1-21 还有此样式 "TableStyleMedium9" 1-28 TableStyleDark1 1-11
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showFirstColumn=True,
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showLastColumn=True,
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showRowStripes=True,
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showColumnStripes=True,
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)
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tab.tableStyleInfo = style
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ws.add_table(tab)
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if self.download_mode == "temp":
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# 返回文件给用户，用户操作浏览器对话框保存文件
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output_buffer = BytesIO()
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wb.save(output_buffer)
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# wb.close()
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output_buffer.seek(0)
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# output_buffer.read() 不要read出来，否则seek就到文件最后了，导致下载的是空文件
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response = FileResponse(output_buffer)
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response['Access-Control-Expose-Headers'] = 'Content-Disposition' #允许Content-Disposition暴露给前端访问，不然axios无法获取此头部信息
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response['Content-Type'] = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
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response['Content-Disposition'] = "attachment; filename=%s" % escape_uri_path(self.file_name)
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return response
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else:
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wb.save(self.save_path)
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return self.download_url
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