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import numpy as np import os import datetime import sys import pandas as pd import html report_dir = "./report/" cycle=float(sys.argv[1]) time_year_month_day = str(datetime.date.today()-datetime.timedelta(days=cycle)) def proj_xls_to_html(file_path,sheet_name,save_name,table_title): lst1 = [] with open(file_path) as f: data = f.readlines() for d in data: value = d.split('\t') value[-1] = value[-1].replace('\n','') try: value[5]=float(value[5]) except: pass lst1.append(value) pd.set_option('display.width', 1000) pd.set_option('colheader_justify', 'center') frame = pd.DataFrame(lst1,index=None,columns=table_title) frame = pd.DataFrame(frame) frame['超期天数'] = frame['超期天数'].map(lambda x: f'<font color="red">{x}<font>' if float(x) >= 44 else x) pd.set_option('colheader_justify', 'center') html_string = ''' <html> <head> <title>####</title> <link rel="stylesheet" type="text/css" href="gs_style.css"/> <script type="text/javascript" src="jquery.min.js"></script> <style> .df tbody tr:last-child { background-color: #FF0000;} </style> <body> <p align="center"> <br><input id="myInput" name="myInput"> <span class="search"> 搜索 </span> <br> </p> <div> <canvas width="1777" height="841" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> <script src="maodian.js"></script> <canvas width="1390" height="797" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> ##table## </div> <script> $(function() { $('.search').on('click', function() { // console.log($('#myInput').val()); $('table tbody tr').hide() .filter(":contains('" + ($('#myInput').val()) + "')") .show(); }) }) </script> </body> </html> '''.replace('####',sheet_name) with open(save_name, 'w') as f: f.write(html.unescape(html_string.replace("##table##",frame.to_html(classes='mystyle',table_id='mytable')))) def proj_xls2_to_html(file_path,sheet_name,save_name,table_title): lst1 = [] with open(file_path) as f: data = f.readlines() for d in data: value = d.split('\t') value[-1] = value[-1].replace('\n','') value = value[0:-1] try: value[5]=float(value[5]) except: pass lst1.append(value) pd.set_option('display.width', 1000) pd.set_option('colheader_justify', 'center') frame = pd.DataFrame(lst1,index=None,columns=table_title) frame = pd.DataFrame(frame) pd.set_option('colheader_justify', 'center') html_string = ''' <html> <head> <title>####</title> <link rel="stylesheet" type="text/css" href="gs_style.css"/> <script type="text/javascript" src="jquery.min.js"></script> <style> .df tbody tr:last-child { background-color: #FF0000;} </style> <body> <p align="center"> <br><input id="myInput" name="myInput"> <span class="search"> 搜索 </span> <br> </p> <div> <canvas width="1777" height="841" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> <script src="maodian.js"></script> <canvas width="1390" height="797" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> ##table## </div> <script> $(function() { $('.search').on('click', function() { // console.log($('#myInput').val()); $('table tbody tr').hide() .filter(":contains('" + ($('#myInput').val()) + "')") .show(); }) }) </script> </body> </html> '''.replace('####',sheet_name) with open(save_name, 'w') as f: f.write(html.unescape(html_string.replace("##table##",frame.to_html(classes='mystyle',table_id='mytable'))))
def projother_xls_to_html(file_path,sheet_name,save_name,table_title): lst1 = [] with open(file_path) as f: data = f.readlines() for d in data: value = d.split('\t') value[-1] = value[-1].replace('\n','') try: value[5]=float(value[5]) except: pass lst1.append(value) pd.set_option('display.width', 1000) pd.set_option('colheader_justify', 'center') frame = pd.DataFrame(lst1,index=None,columns=table_title) frame = pd.DataFrame(frame) pd.set_option('colheader_justify', 'center') html_string = ''' <html> <head> <title>####</title> <link rel="stylesheet" type="text/css" href="gs_style.css"/> <script type="text/javascript" src="jquery.min.js"></script> <style> .df tbody tr:last-child { background-color: #FF0000;} </style> <body> <p align="center"> <br><input id="myInput" name="myInput"> <span class="search"> 搜索 </span> <br> </p> <div> <canvas width="1777" height="841" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> <script src="maodian.js"></script> <canvas width="1390" height="797" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> ##table## </div> <script> $(function() { $('.search').on('click', function() { // console.log($('#myInput').val()); $('table tbody tr').hide() .filter(":contains('" + ($('#myInput').val()) + "')") .show(); }) }) </script> </body> </html> '''.replace('####',sheet_name) with open(save_name, 'w') as f: f.write(html.unescape(html_string.replace("##table##",frame.to_html(classes='mystyle',table_id='mytable'))))
def proj_ztxls_to_html(file_path,sheet_name,save_name,table_title): lst1 = [] with open(file_path) as f: data = f.readlines() for d in data: value = d.split('\t') value[-1] = value[-1].replace('\n','') try: value[5]=float(value[5]) except: pass lst1.append(value) pd.set_option('display.width', 1000) pd.set_option('colheader_justify', 'center') frame = pd.DataFrame(lst1,index=None,columns=table_title) frame = pd.DataFrame(frame) pd.set_option('colheader_justify', 'center') html_string = ''' <html> <head> <title>####</title> <link rel="stylesheet" type="text/css" href="gs_style.css"/> <script type="text/javascript" src="jquery.min.js"></script> <style> .df tbody tr:last-child { background-color: #FF0000;} </style> <body> <p align="center"> <br><input id="myInput" name="myInput"> <span class="search"> 搜索 </span> <br> </p> <div> <canvas width="1777" height="841" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> <script src="maodian.js"></script> <canvas width="1390" height="797" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> ##table## </div> <script> $(function() { $('.search').on('click', function() { // console.log($('#myInput').val()); $('table tbody tr').hide() .filter(":contains('" + ($('#myInput').val()) + "')") .show(); }) }) </script> </body> </html> '''.replace('####',sheet_name) with open(save_name, 'w') as f: f.write(html.unescape(html_string.replace("##table##",frame.to_html(classes='mystyle',table_id='mytable')))) def crate_shuju_toushi(file_path,sheet_name2,index_name,values_name, department_name,new_department_name,personnel_name,table_title,values_name_over,over_name): f = pd.read_table(file_path,sep='\t',header=None) f.columns=table_title res = pd.pivot_table(f, index=[index_name], values=[values_name, values_name_over], aggfunc={values_name: np.sum, values_name_over: np.mean}, margins=True) all_xinxi_title = list(zip(list((res.index)), list(res[values_name]),list(res[values_name_over]))) department_personnel = list(zip(f[department_name], f[index_name],f[values_name_over])) department_personnel_size_list = [] for user in all_xinxi_title: for department_personnel_list in department_personnel: if user[0] in department_personnel_list: if user[0] == '-': continue if user[0] == ' ': continue department_personnel_size_list.append((department_personnel_list[0],user[0],user[1],user[2]))
end_department_personnel_size_list = sorted(list(set(department_personnel_size_list)), key=lambda x:x[2] ,reverse=True) all_xinxi_title_end = all_xinxi_title[-1] all_xinxi_title_end = list(all_xinxi_title_end) all_xinxi_title_end.insert(0,'') end_department_personnel_size_list.append(all_xinxi_title_end) end_department_personnel_size_list.pop()
input_list=[] user_volue = [] for user2 in end_department_personnel_size_list: user2 = list(user2) if user2[1] == user_volue: continue user_volue = user2[1] input_list.append(user2) sum_list = np.array(input_list) all_size = sum(list(map(float,sum_list[:,-2][:]))) input_list.append([" ","ALL size",all_size]) pd.set_option('display.width', 1000) pd.set_option('colheader_justify', 'center') frame = pd.DataFrame(input_list,columns=[new_department_name,personnel_name,values_name,over_name]) pd.set_option('colheader_justify', 'center') html_string = ''' <html> <head> <title>####</title> <link rel="stylesheet" type="text/css" href="gs_style.css"/> <script type="text/javascript" src="jquery.min.js"></script> <style> .df tbody tr:last-child { background-color: #FF0000;} </style> <body> <p align="center"> <br><input id="myInput" name="myInput"> <span class="search"> 搜索 </span> <br> </p> <div> <canvas width="1777" height="841" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> <script src="maodian.js"></script> <canvas width="1390" height="797" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> ##table## </div> <script> $(function() { $('.search').on('click', function() { // console.log($('#myInput').val()); $('table tbody tr').hide() .filter(":contains('" + ($('#myInput').val()) + "')") .show(); }) }) </script> </body> </html> '''.replace('####',sheet_name2) with open(save_name, 'w') as f: f.write(html.unescape(html_string.replace("##table##",frame.to_html(classes='mystyle',table_id='mytable'))))
def create_space_toushi(save_name,sheet_name2,department_num, sum_name,data_total,index_name,values_name, file_path,table_title,values_name_over,over_name): f = pd.read_table(file_path,sep='\t',header=None,dtype={'业务部门利润编号':str}) f.columns = table_title res = pd.pivot_table(f, index=index_name, values=[values_name,values_name_over], aggfunc={values_name:np.sum,values_name_over:np.mean},margins=True) all_list = list(zip(list(res.index), list(res[values_name]),list(res[values_name_over])))
space_list = [] for user in all_list: user2 = list(user)[1] user4 = list(user)[2] user3 = list(list(user)[0]) if user3[0] == '-': space_list.append((user3[1],user2,user4)) if user3[0] == ' ': space_list.append((user3[1],user2,user4))
sum_list = []
space_data = pd.DataFrame(space_list) space_data_group = space_data.groupby([0]).agg({[1][0]:'sum',[2][0]:'mean'})
space_list_list = list(zip(space_data_group.index.tolist(), space_data_group.values.tolist())) space_list = [] for space in space_list_list: print(space) space_index_value = space[0], space[1][0], space[1][1] space_list.append(space_index_value)
for slist in space_list: sum_list.append(slist[1]) sum_list=sum(sum_list) sort_space_list = sorted(list(set(space_list)), key=lambda x:x[1] ,reverse=True) sort_space_list.append((sum_name, sum_list)) pd.set_option('display.width', 1000) pd.set_option('colheader_justify', 'center') frame = pd.DataFrame(sort_space_list,index=None,columns=[department_num,data_total,over_name]) pd.set_option('colheader_justify', 'center') html_string = ''' <html> <head> <title>####</title> <link rel="stylesheet" type="text/css" href="gs_style.css"/> <script type="text/javascript" src="jquery.min.js"></script> <style> .df tbody tr:last-child { background-color: #FF0000;} </style> <body> <p align="center"> <br><input id="myInput" name="myInput"> <span class="search"> 搜索 </span> <br> </p> <div> <canvas width="1777" height="841" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> <script src="maodian.js"></script> <canvas width="1390" height="797" style="position: fixed; left: 0px; top: 0px; z-index: 2147483647; pointer-events: none;"></canvas> ##table## </div> <script> $(function() { $('.search').on('click', function() { // console.log($('#myInput').val()); $('table tbody tr').hide() .filter(":contains('" + ($('#myInput').val()) + "')") .show(); }) }) </script> </body> </html> '''.replace('####',sheet_name2) with open(save_name, 'w') as f: f.write(html.unescape(html_string.replace("##table##",frame.to_html(classes='mystyle',table_id='mytable'))))
if __name__=='__main__': sheet_name = '详情' save_name = report_dir + 'XX-XJ-DATASHOW-' + sheet_name + '.html' file_path = report_dir + 'able.' + time_year_month_day +'.lib.xls' table_title = ['数据大小B','文件生成时间','部门编号', '文件属主','项目目录','文库编号','所属组','超期天数', '项目编号', '运营经理', '信息分析', '项目名称','分期号'] proj_xls_to_html(file_path=file_path, sheet_name=sheet_name, table_title=table_title, save_name=save_name)
sheet_name2 = '概况' file_path = report_dir + time_year_month_day + '.ProjInfo.XJpath.xls' save_name = report_dir + 'XX-XJ-DATASHOW-' + sheet_name2 + '.html' table_title = ['业务部门名称','业务部门XX编号', '运营经理','信息分析','项目编号', '涉及数据量大小(G)','项目平均超期(天)','项目名称','文库编号',] index_name = '信息分析' values_name = '涉及数据量大小(G)' department_name = '业务部门名称' new_department_name = '部门' personnel_name = '人员' values_name_over = '项目平均超期(天)' over_name = '总体平均超期(天)' crate_shuju_toushi( sheet_name2=sheet_name2, index_name=index_name, values_name=values_name, department_name=department_name, new_department_name=new_department_name, file_path = file_path, personnel_name=personnel_name, table_title=table_title, over_name=over_name, values_name_over=values_name_over,)
sheet_name2 = '未匹配人员数据量' index_name = ['信息分析','业务部门XX编号'] file_path = report_dir + time_year_month_day + '.ProjInfo.XJpath.xls' save_name = report_dir + 'XX-XJ-DATASHOW-' + sheet_name2 + '.html' department_num = '部门编号' data_total = '数据量(G)' values_name = '涉及数据量大小(G)' table_title = ['XX部门名称','XX部门利润编号', '运营XX','XX信息分析','项目编号', '涉及数据量大小(G)','项目平均超期(天)','项目名称','文库XX编号',] sum_name = 'ALL' values_name_over = '项目平均超期(天)' over_name = '总体平均超期(天)' create_space_toushi(index_name=index_name, save_name=save_name, department_num=department_num, data_total=data_total, file_path=file_path, table_title=table_title, values_name=values_name, sheet_name2=sheet_name2, sum_name=sum_name, over_name=over_name, values_name_over=values_name_over, ) sheet_name = '总体情况' file_path = report_dir + time_year_month_day + '.ProjInfo.XJpath.xls' save_name = report_dir + 'XX-XJ-DATASHOW-' + sheet_name + '.html' table_title = ['XX部门名称','XX部门XX编号', '运营XX','信息分析XX','XX项目编号', '涉及数据量大小(G)','项目平均超期(天)','项目名称',] proj_xls2_to_html(file_path=file_path, sheet_name=sheet_name, table_title=table_title, save_name=save_name)
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