import requests
import time
import os
import arrow
import pandas as pd
import pandas.io.formats.excel
from collections import OrderedDict
import yagmail
from xlsxwriter.utility import xl_rowcol_to_cell
import numpy as np pandas.io.formats.excel.header_style = None
pd.set_option('display.max_colwidth', -1) # 能显示的最大宽度, 否则to_html出来的地址就不全 #改这里
data_list = [] t = arrow.now() endTms = t.format("YYYY-MM-DD")
stTms = t.shift(days=-7).format("YYYY-MM-DD") headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'} # 改这里
userList = [
{'xxx': [594]},
] def get_info(Operator, userId, stTms, endTms):
BasicInfo_url = f'http://xxx.com/api/v1/user/{userId}'
SevenDay_url = f'http://xxx.com/api/v1/stat/overview?userId={userId}&dataType=USER&groupUnit=BY_DAYS&&&stTms={stTms}&endTms={endTms}'
SevenDay_res = requests.get(SevenDay_url, headers=headers)
SevenDay_data = SevenDay_res.json()['all']
BasicInfo_res = requests.get(BasicInfo_url, headers=headers).json()
info = OrderedDict()
for i in SevenDay_data:
info['运营'] = Operator
info['名称'] = BasicInfo_res['member']['fullname']
info['userId'] = i['after']['userId']
info['公司名称'] = BasicInfo_res['info']['company']
info['邮箱'] = BasicInfo_res['email']
info['余额'] = round(float(BasicInfo_res['balance']) / 100, 2)
info['日预算'] = float(BasicInfo_res['dailyBudget']) / 100
info[i['after']['timeStamp']] = float('%.2f' % (i['after']['cost'] / 100))
data_list.append(info)
print(f"{Operator}数据处理完成!") #改这里
def get_info_run():
for item in userList:
for Operator, list_ in item.items():
for userId in list_:
get_info(Operator, userId, stTms, endTms)
print(f"处理{Operator}数据中。。。") def gen_report():
print("生成7日日报中。。。。")
#改这里
df = pd.DataFrame(data_list) yesterday = t.shift(days=-1).format("YYYY-MM-DD")
beforday = t.shift(days=-2).format("YYYY-MM-DD")
colums_days = [t.shift(days=i).format("YYYY-MM-DD") for i in range(-7,0)]
df['花费同比'] = (df[yesterday]-df[stTms])/ df[stTms].apply(lambda x: x if x != 0 else 1)
df['花费环比'] = (df[yesterday]-df[beforday])/ df[beforday].apply(lambda x: x if x != 0 else 1)
df['花费七日均'] = df[colums_days].mean(1).round(2)
df['预计可消费天数'] = round(df['余额'] / df['花费七日均'].apply(lambda x: x if x != 0 else 1),0)
writer = pd.ExcelWriter('近7天报告' + time.strftime("%Y%m%d%H%M") + '.xlsx', engine='xlsxwriter')
df.to_excel(writer, index=False, sheet_name='report')
number_rows = len(df.index)
workbook = writer.book workbook.formats[0].set_font_name("微软雅黑") worksheet = writer.sheets['report']
worksheet.freeze_panes(1, 2)
worksheet.autofilter(f'A1:T{number_rows+1}') worksheet.set_zoom(90) cell_format = workbook.add_format({'font_name':'微软雅黑','font_size':12,'bold': True,'bg_color': 'blue','font_color':'white','align':'center','valign':'vcenter','border':1})
worksheet.set_row(0,None, cell_format) money_fmt = workbook.add_format({'num_format': '¥#,##0.00','font_name':'微软雅黑','border': 1})
percent_fmt = workbook.add_format({'num_format': '0.00%','font_name':'微软雅黑','border': 1}) # Total formatting
total_fmt = workbook.add_format({'align': 'right', 'num_format': '¥#,##0.00',
'bottom': 6,'font_name':'微软雅黑','border': 1,'bold':True}) # Total percent format
total_percent_fmt = workbook.add_format({'align': 'right', 'num_format': '0.00%',
'bottom': 6,'font_name':'微软雅黑','border': 1,'bold':True}) all_border_fmt = workbook.add_format({'border': 1,'font_name':'微软雅黑','align': 'right'}) worksheet.set_column('A:A', 8,all_border_fmt)
worksheet.set_column('B:B', 17, all_border_fmt)
worksheet.set_column('C:C', 8, all_border_fmt)
worksheet.set_column('D:D', 33,all_border_fmt)
worksheet.set_column('E:E', 25,all_border_fmt)
worksheet.set_column('F:F', 15)
worksheet.set_column('G:G', 18)
worksheet.set_column('H:O', 15)
worksheet.set_column('P:R', 15)
worksheet.set_column('S:S', 17,all_border_fmt)
worksheet.set_column('T:T', 15,all_border_fmt) worksheet.set_column('F:O', 12, money_fmt)
worksheet.set_column('R:R', 12, money_fmt) worksheet.set_column('P:Q', 12, percent_fmt) # Add total rows
for column in range(5, 15):
# Determine where we will place the formula
cell_location = xl_rowcol_to_cell(number_rows + 1, column)
# Get the range to use for the sum formula
start_range = xl_rowcol_to_cell(1, column)
end_range = xl_rowcol_to_cell(number_rows, column)
# Construct and write the formula
formula = "=SUM({:s}:{:s})".format(start_range, end_range)
worksheet.write_formula(cell_location, formula, total_fmt) # Add a total label
worksheet.write_string(number_rows + 1, 4, "总计", total_fmt) percent_formula_same = "=(N{0}-H{0})/H{0}".format(number_rows + 2)
worksheet.write_formula(number_rows + 1, 15, percent_formula_same, total_percent_fmt) percent_formula_ring = "=(N{0}-M{0})/M{0}".format(number_rows + 2)
worksheet.write_formula(number_rows + 1, 16, percent_formula_ring, total_percent_fmt) formula_mean7 = "=AVERAGE(H{0}:O{0})".format(number_rows + 2)
worksheet.write_formula(number_rows + 1, 17, formula_mean7,total_fmt) formula_predays = "=ROUND(F{0}/R{0},0)".format(number_rows + 2)
worksheet.write_formula(number_rows + 1, 18, formula_predays) color_range_p = "P2:P{}".format(number_rows + 1)
color_range_q = "Q2:Q{}".format(number_rows + 1)
color_range_r = "R2:R{}".format(number_rows + 1)
color_range_s = "S2:S{}".format(number_rows + 2)
color_range_f = "F2:F{}".format(number_rows + 1)
color_range_g = "G2:G{}".format(number_rows + 1) format1 = workbook.add_format({'bg_color': '#FFC7CE',
'font_color': '#9C0006',
'border': 1}) format2 = workbook.add_format({'bg_color': '#C6EFCE',
'font_color': '#006100',
'border':1}) format3 = workbook.add_format({'bg_color': '#FFC7CE',
'font_color': '#9C0006',
'border': 1}) worksheet.conditional_format(color_range_p, {'type': 'top',
'value': '',
'format': format1}) worksheet.conditional_format(color_range_p, {'type': 'bottom',
'value': '',
'format': format2}) worksheet.conditional_format(color_range_q, {'type': 'top',
'value': '',
'format': format1}) worksheet.conditional_format(color_range_q, {'type': 'bottom',
'value': '',
'format': format2}) worksheet.conditional_format(color_range_r, {'type': 'top',
'value': '',
'format': format1}) worksheet.conditional_format(color_range_r, {'type': 'bottom',
'value': '',
'format': format2}) worksheet.conditional_format(color_range_s, {'type': 'cell',
'criteria': '<=',
'value': '',
'format': format3}) worksheet.conditional_format(color_range_f, {'type': 'cell',
'criteria': '<=',
'value': '',
'format': format3}) worksheet.conditional_format(color_range_g, {'type': 'cell',
'criteria': '<=',
'value': '',
'format': format3}) worksheet.conditional_format(f'H2:H{number_rows+1}', {'type': 'data_bar', 'bar_solid': True, 'format': money_fmt})
worksheet.conditional_format(f'I2:I{number_rows+1}', {'type': 'data_bar', 'bar_solid': True, 'format': money_fmt})
worksheet.conditional_format(f'J2:J{number_rows+1}', {'type': 'data_bar', 'bar_solid': True, 'format': money_fmt})
worksheet.conditional_format(f'K2:K{number_rows+1}', {'type': 'data_bar', 'bar_solid': True, 'format': money_fmt})
worksheet.conditional_format(f'L2:L{number_rows+1}', {'type': 'data_bar', 'bar_solid': True, 'format': money_fmt})
worksheet.conditional_format(f'M2:M{number_rows+1}', {'type': 'data_bar', 'bar_solid': True, 'format': money_fmt})
worksheet.conditional_format(f'N2:N{number_rows+1}', {'type': 'data_bar', 'bar_solid': True, 'format': money_fmt})
worksheet.conditional_format(f'O2:O{number_rows+1}', {'type':'data_bar','bar_solid': True,'format': money_fmt}) #迷你图-1
worksheet.write('T1','趋势迷你图')
for row in range(2,number_rows+2):
worksheet.add_sparkline('T'+str(row), {'range': 'report!H{0}:N{0}'.format(row),'markers': True}) # 折线图
chart_line = workbook.add_chart({'type': 'line'})
chart_line.add_series({
'categories': '=report!$H$1:$N$1',
'values': f'=report!$H${number_rows+2}:$N${number_rows+2}',
})
chart_line.set_legend({'none': True}) column_chart = workbook.add_chart({'type': 'column'})
column_chart.add_series({
'categories': '=report!$H$1:$N$1',
'values': f'=report!$H${number_rows+2}:$N${number_rows+2}',
})
chart_line.combine(column_chart)
chart_line.set_title({ 'name': '总7日走势图'})
worksheet.insert_chart(f'D{number_rows+3}', chart_line) #透视表
pivot = pd.pivot_table(df,values=colums_days + [endTms],index=['运营'],aggfunc=np.sum)
pivot['花费同比'] = (pivot[yesterday]-pivot[stTms])/ pivot[stTms].apply(lambda x: x if x != 0 else 1)
pivot['花费环比'] = (pivot[yesterday]-pivot[beforday])/ pivot[beforday].apply(lambda x: x if x != 0 else 1)
pivot['花费七日均'] = pivot[colums_days].mean(1).round(2)
pivot.to_excel(writer,sheet_name='report',startrow=number_rows+3,startcol=6)
pivot_rows = len(pivot.index)
worksheet.write(f'T{number_rows+4}', '趋势迷你图')
for row in range(number_rows+5, number_rows + 4 + pivot_rows +1):
worksheet.add_sparkline('T' + str(row), {'range': 'report!H{0}:N{0}'.format(row), 'markers': True}) writer.save() print('7日报生成完成!')
return df,pivot def get_html_msg(df,pivot):
#1. 构造html信息
df.drop('公司名称', axis=1, inplace=True)
df_html = df.to_html(escape=False,index=False) pivot_html = pivot.to_html(escape=False)
df_html = df_html.replace("\n", "")
pivot_html = pivot_html.replace("\n", "") # html = html.replace("\n", "") 表格部分 head = \
'''
<head>
<meta charset="utf-8">
<STYLE TYPE="text/css" MEDIA=screen> table.dataframe {
border-collapse: collapse;
border: 2px solid #a19da2;
/*居中显示整个表格*/
margin: auto;
} table.dataframe thead {
border: 2px solid #91c6e1;
background: #f1f1f1;
padding: 10px 10px 10px 10px;
color: #333333;
} table.dataframe tbody {
border: 2px solid #91c6e1;
padding: 10px 10px 10px 10px;
} table.dataframe tr { } table.dataframe th {
vertical-align: top;
font-size: 14px;
padding: 10px 10px 10px 10px;
color: #105de3;
font-family: 微软雅黑;
text-align: center;
} table.dataframe td {
text-align: center;
padding: 10px 10px 10px 10px;
} body {
font-family: 微软雅黑;
} h1 {
color: #5db446
} div.header h2 {
color: #0002e3;
font-family: 微软雅黑;
} h3 {
font-size: 22px;
background-color: rgba(0, 2, 227, 0.71);
text-shadow: 2px 2px 1px #de4040;
color: rgba(239, 241, 234, 0.99);
line-height: 1.5;
} h4 {
color: #e10092;
font-family: 微软雅黑;
font-size: 20px;
text-align: center;
} </STYLE>
</head>
''' # 构造模板的附件(100)
body = \
"""
<body>
<div align="center" class="header">
<!--标题部分的信息-->
<h1 align="center">您好,以下为近7日日报,详细内容请看附件!</h1>
</div>
<hr>
<div class="content">
<!--正文内容-->
<div>
<h4>运营汇总报告</h4>
{1}
<h4>客户详细报告</h4>
{0}
</div>
<hr>
<p style="text-align: center">
—— 本次报告完 ——
</p>
</div>
</body>
""".format(df_html,pivot_html) foot = \
'''
<br/>
<p>
xx营<br/>
Email: xx.com<br/>
MP: +86 xxx<br/>
Address: xxxx<br/>
</p>
'''
html_msg = "<html>" + head + body + foot + "</html>"
html_msg = html_msg.replace("\n", "")
# 这里是将HTML文件输出,作为测试的时候,查看格式用的,正式脚本中可以注释掉
fout = open('./t4.html', 'w', encoding='UTF-8', newline='')
fout.write(html_msg)
return html_msg def send_seven_daily_mail(html_msg):
print('正在准备发送日报邮件...')
yesterday = t.shift(days=-1).format("YYYY-MM-DD")
# 链接邮箱服务器
yag = yagmail.SMTP(user="xxx.com", password="ckxxxx", host='smtp.gmail.com') staff = ['xxxx'] # 发送邮件
print('正在给部门小伙伴发送7日日报.....')
yag.send(to=staff,
subject=yesterday + '七日日报', contents=html_msg,
attachments='近7天报告' + time.strftime("%Y%m%d%H%M") + '.xlsx')
print('xx7日日报发送成功!') def remove_file():
all_file = os.listdir('./')
for file in all_file:
if file.endswith('.xlsx'):
os.remove(file) def main():
#清除历史遗留excel文件
remove_file()
get_info_run()
df, pivot = gen_report()
html_msg = get_html_msg(df,pivot)
send_seven_daily_mail(html_msg) if __name__ == '__main__':
main()

python 操作excel格式化及outlook正文,发送邮件的更多相关文章

  1. Python操作excel表格

    用Python操作Excel在工作中还是挺常用的,因为毕竟不懂Excel是一个用户庞大的数据管理软件 注:本篇代码在Python3环境下运行 首先导入两个模块xlrd和xlwt,xlrd用来读取Exc ...

  2. python 操作excel 的包 函数

    ###########sample 1 https://blog.csdn.net/chengxuyuanyonghu/article/details/54951399 python操作excel主要 ...

  3. python操作excel表格(xlrd/xlwt)

    最近遇到一个情景,就是定期生成并发送服务器使用情况报表,按照不同维度统计,涉及python对excel的操作,上网搜罗了一番,大多大同小异,而且不太能满足需求,不过经过一番对源码的"研究&q ...

  4. Python操作Excel

    一.系统性学习 对于操作Excel,需要Xlrd/xlwt这两个模块,下面推荐出系统性学习的网址: python操作Excel读写--使用xlrd 官方文档 Python 使用 Xlrd/xlwt 操 ...

  5. Python操作excel(xlrd和xlwt)

    Python操作excel表格有很多支持的库,例如:xlrd.xlwt.openpyxl.win32com,下面介绍使用xlrd.xlwt和xlutils模块这三个库不需要其他的支持,在任何操作系统上 ...

  6. Python 利用Python操作excel表格之openyxl介绍Part2

    利用Python操作excel表格之openyxl介绍 by:授客 QQ:1033553122 欢迎加入全国软件测试交流qq群(群号:7156436) ## 绘图 c = LineChart()    ...

  7. Python 利用Python操作excel表格之openyxl介绍Part1

    利用Python操作excel表格之openyxl介绍 by:授客 QQ:1033553122 欢迎加入全国软件测试交流qq群(群号:7156436),免费获取以下性能监控工具(类似Nmon精简版) ...

  8. 【转】python操作excel表格(xlrd/xlwt)

    [转]python操作excel表格(xlrd/xlwt) 最近遇到一个情景,就是定期生成并发送服务器使用情况报表,按照不同维度统计,涉及python对excel的操作,上网搜罗了一番,大多大同小异, ...

  9. Python 利用Python操作excel表格之xlwt介绍

    利用Python操作excel表格之xlwt介绍   by:授客 QQ:1033553122 直接上代码   案例1 #!/usr/bin/env python # -*- coding:utf-8 ...

随机推荐

  1. 《TCP/IP 详解 卷1:协议》第 10 章:用户数据报协议

    引言 UDP 稍微扩展了IP协议,使得包可以在进程间传送,而不仅仅是在主机件.--<CSAPP> IP 数据报是指 IP 层端到端的传输单元.分组(packet)是 IP 层和链路层的传输 ...

  2. WinForm中DataGridView的全选与取消全选

    /// <summary> /// 全选 /// </summary> private void SelectAll() { //结束列表的编辑状态,否则可能无法改变Check ...

  3. java.time 时间和简单任务

    java.time是jdk1.8才用的 时间管理 package com.test.time; import java.time.*; /** * Created by MY on 2017/8/7. ...

  4. C++模板常用功能讲解

    前言 泛型编程是C++继面向对象编程之后的又一个重点,是为了编写与具体类型无关的代码.而模板是泛型编程的基础.模板简单来理解,可以看作是用宏来实现的,事实上确实有人用宏来实现了模板类似的功能.模板,也 ...

  5. C# 窗体文件下的 MainForm.cs,MainForm.Designer.cs,MainForm.resx,是什么,干什么

    Form.cs和Form.Designer.cs其实是一个类,Visual Studio为了让我们方便管理,用partial关键字把窗体类给拆开了, Form.Designer.cs存放的是窗体的布局 ...

  6. java 数据结构与算法---链表

    原理来自百度百科  一.链表的定义 链表是一种物理存储单元上非连续.非顺序的存储结构,数据元素的逻辑顺序是通过链表中的指针链接次序实现的.链表由一系列结点(链表中每一个元素称为结点)组成,结点可以在运 ...

  7. CKEditor 4 & markdown & rich text editor

    CKEditor 4 ckeditor 4 http://ckeditor.com

  8. (2)YARN的工作流程

    Writing YARN Applications 文档中的启动过程: Application submission client向Yarn ResourceManager提交一个Applicatio ...

  9. MT【146】一边柯西,一边舍弃

    (2018浙江省赛9题)设$x,y\in R$满足$x-6\sqrt{y}-4\sqrt{x-y}+12=0$,求$x$的范围______ 解答:$x+12=6\sqrt{y}+4\sqrt{x-y} ...

  10. 【刷题】BZOJ 3529 [Sdoi2014]数表

    Description 有一张n×m的数表,其第i行第j列(1<=i<=n,1<=j<=m)的数值为能同时整除i和j的所有自然数之和.给定a,计算数表中不大于a的数之和. In ...