#!/usr/bin/env python3# -*- coding:utf-8 -*-# __author__ = 'eason'import xlrdimport xlwtimport osdef summary(): ''' 将多人的日报整理到同一个excel文件中report_summary.xls :return: ''' cur_path = os.getcwd() report_list = [] for file in os.listdir(cur_path): if file.split('.')[1].__contains__('xls'): #回头要添加一个保护。否则当出现没有.的文件或文件夹时会报错。 file_path = cur_path + '\\' + file data = xlrd.open_workbook(file_path) table_report = data.sheets()[0] row_num = table_report.nrows for r in range(1,row_num): report_row = table_report.row_values(r) if report_row[0] in ['', ' '] or report_row[1] in ['', ' ']: #当某行没有填写姓名或日期。跳过。 continue report_list.append(report_row) report_list = sorted(report_list, key=lambda x: x[3]) #目前是通过所在项目排序。后续改成先后通过日期，项目，名字排序 xls = xlwt.Workbook() sht1 = xls.add_sheet(r'日报汇总') for r, report in enumerate(report_list): for c, value in enumerate(report): sht1.write(r, c, value) xls.save('./report_summary.xls')def get_stat_result(report_list, person, date='按周统计'): ''' 统计分析核心代码。通过参数个数支持按天和按周统计。 :param report_list: :param person: :param date: :return: ''' #定义过程变量和结果变量 work_time_1date = 0 #工作时长 effective_work_time_1date = 0 #生产工时 theory_work_time_1date = 7 #理论生产工时 testCase_write_sum = 0 #测试用例编写量 testCas_operate_sum = 0 bug_submit_sum = 0 bug_verificate_sum = 0 testCase_write_time = 0 #测试用例编写时长 testCas_operate_time = 0 bug_submit_time = 0 bug_verificate_time = 0 for line in report_list: cur_person = line[0] cur_date = line[1] if cur_person == person and (cur_date == date or date=='按周统计'): #仅当当前行的姓名和日期都满足统计要求时才纳入统计。否则跳过。 job_type = line[4] job_time = line[5] if job_time == '' or job_type == '': continue if job_type != '其它': #当任务类型为其它时，不算入生产工时 effective_work_time_1date += job_time work_time_1date += job_time if job_type in ['功能用例执行', '用例编写', 'bug验证']: #当任务类型属于这3种类型才统计产出效率 testCase_write_count = line[6] print('testCase_write_count',testCase_write_count,cur_person,cur_date) testCas_operate_count = line[7] bug_submit_count = line[8] bug_verificate_count = line[9] if testCase_write_count not in ['', ' ', 0]: #异常值进行保护逻辑 testCase_write_sum += testCase_write_count testCase_write_time += job_time if testCas_operate_count not in ['', ' ', 0]: testCas_operate_sum += testCas_operate_count testCas_operate_time += job_time if bug_submit_count not in ['', ' ', 0]: bug_submit_sum += bug_submit_count bug_submit_time += job_time if bug_verificate_count not in ['', ' ', 0]: bug_verificate_sum += bug_verificate_count bug_verificate_time += job_time testCase_write_count_per_hour = float( testCase_write_sum) / testCase_write_time if testCase_write_time != 0 else 'NA' #当有该任务类型的时间投入时才统计效率。反则为NA testCas_operate_count_per_hour = float( testCas_operate_sum) / testCas_operate_time if testCas_operate_time != 0 else 'NA' bug_submit_count_per_hour = float(bug_submit_sum) / bug_submit_time if bug_submit_time != 0 else 'NA' bug_verificate_count_per_hour = float( bug_verificate_sum) / bug_verificate_time if bug_verificate_time != 0 else 'NA' saturation_degree = float(effective_work_time_1date) / theory_work_time_1date #计算工作饱和度 time_stats = [work_time_1date, effective_work_time_1date, saturation_degree] #工作时长相关指标 quantity_stats = [testCase_write_sum, testCas_operate_sum, bug_submit_sum, bug_verificate_sum, bug_verificate_count_per_hour] #工作产出相关指标 effectiveness_stats = [testCase_write_count_per_hour, testCas_operate_count_per_hour, bug_submit_count_per_hour] #工作效率相关指标 stat_result = [person, date] + time_stats + quantity_stats + effectiveness_stats return stat_resultdef statistic_by_person_week(report_list, person_list): ''' 对指定人员列表按人按周统计（默认所有记录为同一周的记录） :param report_list: :param person_list: :return: ''' stat_result_list = [] for person in person_list: stat_result = get_stat_result(report_list, person) #分析单人的统计结果 stat_result_list.append(stat_result) return stat_result_listdef statistic_by_person_date(report_list, person_list, date_list): ''' 对指定人员列表和日期列表进行按人按天统计 :param report_list: :param person_list: :param date_list: :return: ''' stat_result_list = [] for person in person_list: for date in date_list: stat_result = get_stat_result(report_list, person, date) #分析单人单天的统计结果 stat_result_list.append(stat_result) return stat_result_listdef xls_write_data(data_list, sht): ''' 保存分析结果 :param data_list: :param sht: :return: ''' for r, time_stat_result in enumerate(data_list): #从list中读取不同统计指标的值 person = time_stat_result[0] date = str(time_stat_result[1]) work_time_1date = time_stat_result[2] effective_work_time_1date = time_stat_result[3] saturation_degree = time_stat_result[4] testCase_write_sum = time_stat_result[5] testCas_operate_sum = time_stat_result[6] bug_submit_sum = time_stat_result[7] bug_verificate_sum = time_stat_result[8] bug_verificate_count_per_hour = time_stat_result[9] testCase_write_count_per_hour = time_stat_result[10] testCas_operate_count_per_hour = time_stat_result[11] bug_submit_count_per_hour = time_stat_result[12] #将统计指标写入excel sht.write(r, 0, person) sht.write(r, 1, date) sht.write(r, 2, work_time_1date) sht.write(r, 3, effective_work_time_1date) sht.write(r, 4, saturation_degree) sht.write(r, 5, testCase_write_sum) sht.write(r, 6, testCas_operate_sum) sht.write(r, 7, bug_submit_sum) sht.write(r, 8, bug_verificate_sum) sht.write(r, 9, bug_verificate_count_per_hour) sht.write(r, 10, testCase_write_count_per_hour) sht.write(r, 11, testCas_operate_count_per_hour) sht.write(r, 12, bug_submit_count_per_hour)def statistic_by_person(): ''' 按人统计 :return: ''' summary_file = './report_summary.xls' data = xlrd.open_workbook(summary_file) table_report = data.sheets()[0] row_num = table_report.nrows report_list = [] person_list = [] date_list = [] for r in range(1, row_num): #第一行是标题行，跳过 report_row = table_report.row_values(r) person = report_row[0] date = report_row[1] report_list.append(report_row) #获取行记录列表 person_list.append(person) #获取人名列表 date_list.append(date) #获取日期列表 person_list = list(set(person_list)) #去重 date_list = list(set(date_list)) stat_result_list_by_date = statistic_by_person_date(report_list, person_list, date_list) #按人按天统计 stat_result_list_by_week = statistic_by_person_week(report_list, person_list) #按人按周统计 #保存分析结果 xls = xlwt.Workbook() sht1 = xls.add_sheet(r'按人按天分析结果') xls_write_data(stat_result_list_by_date, sht1) sht2 = xls.add_sheet(r'按人按周分析结果') xls_write_data(stat_result_list_by_week, sht2) xls.save('./report_summary1.xls')if __name__=="__main__": summary() #将多人的日报整理到同一个excel文件中report_summary.xls statistic_by_person() #进行统计分析。分析按人、按项目、按天、按周的指标