import decimal from django.core import serializers from django.core.serializers.json import DjangoJSONEncoder from django.db.models.functions import TruncMonth from django.http import HttpResponse, JsonResponse from django.shortcuts import render from django.test import TestCase # Create your tests here. from django.db.models import Sum, F, FloatField, Count, Q from django.utils import timezone from django.views import View from apps.users.models import User from apps.tasks.models import Todo import pandas as pd from collections import defaultdict, Counter, ChainMap from copy import deepcopy # 用于按用户名合并任务，会对指定字段进行累加，类似GROUP BY(SUM)，但会丢失无需计算的部分，因此之前需要单独构建姓名字典 def solve(dataset, group_by_key, sum_value_keys): dic = defaultdict(Counter) for item in dataset: key = item[group_by_key] vals = {k: item[k] for k in sum_value_keys} dic[key].update(vals) return dic def cal_method(main_list, sub_list, user_name): # print(main_list, sub_list, user_name) # sub_credit = sub_list # main_credit = main_list total_data = [] season = 1 # 分别计算每个季度的工作量、评价 for main_credit, sub_credit in zip(main_list, sub_list): # TODO 对于完成质量的核算，先对评价求和，再除以已评价的承办任务数 # for i in main_credit: # print(i['main_executor__quality_mark__mark_value__mark_value']) # print(main_credit) quality_dict = {} for i in main_credit: quality_dict[i['username']] = [] if i['main_executor__quality_mark__mark_value__mark_value'] != None: quality_dict[i['username']].append(i['main_executor__quality_mark__mark_value__mark_value']) for key, value in quality_dict.items(): if value: quality_dict[key] = sum(value) / len(value) # print(quality_dict) main_credit = solve(main_credit, 'username', ['main_pre_cal', 'main_real_cal', 'main_count', 'main_executor__evaluate_factor']) main_credit = dict(main_credit) sub_credit = solve(sub_credit, 'username', ['sub_pre_cal', 'sub_real_cal', 'sub_count']) sub_credit = dict(sub_credit) # 按用户名合并承办与协办任务字典 total_credit = deepcopy(main_credit) for key in sub_credit.keys(): if key in total_credit: total_credit[key].update(sub_credit[key]) else: total_credit[key] = sub_credit[key] # print(total_credit['admin']['sub_pre_cal']) # 根据字典内容，计算总工作量 for key, value in total_credit.items(): # print(value) value['pre_cal'] = value['sub_pre_cal'] + value['main_pre_cal'] value['real_cal'] = value['sub_real_cal'] + value['main_real_cal'] value['real_name'] = user_name[key] value['season'] = season # 由于不计算协办任务，quality_dict会有空值情况 try: value['quality'] = quality_dict[key] except: value['quality'] = 0 for value in total_credit.values(): # print(value) real_cal_season = "real_cal_" + str(season) value[real_cal_season] = value.pop("real_cal") quality_season = "quality_" + str(season) value[quality_season] = value.pop("quality") # print(total_credit) total_data.append(total_credit) # print(season) season += 1 # new_credit = [] # for item in total_credit: # for key, value in item.items(): # print(total_data, season) dd = defaultdict(list) for d in total_data: # you can list as many input dicts as you want here for key, value in d.items(): dd[key].append(value) # print(dd) return dd class TestView(View): def get(self, request, year=2021, month=7): user_info = User.objects.filter(department=request.user.department) \ .values_list('username', 'real_name') user_name = {} for user in user_info: user_name[user[0]] = user[1] work_cal = User.objects.filter(department=request.user.department, main_executor__deadline__year=2021) \ .order_by('main_executor__deadline').values('main_executor__todo_topic', 'main_executor__deadline') # 以用户表查询，按用户列出所参与承办、协办任务，并在之后按用户名分组合并。 main_credit = User.objects.filter(department=request.user.department, main_executor__deadline__year=year) \ .annotate(main_count=Count('main_executor')) \ .order_by('username') \ .values('username', 'main_executor', 'main_executor__predict_work', 'main_executor__real_work', 'main_executor__evaluate_factor', 'main_executor__maturity', 'main_executor__quality_mark__mark_value__mark_value', 'main_executor__deadline', 'main_count') # 这里的annotate不知会不会有问题 sub_count = Todo.objects.filter(sub_executor__department=request.user.department, deadline__year=year) \ .annotate(sub_count=Count('sub_executor')).values('id', 'sub_count') sub_credit = User.objects.filter(department=request.user.department, sub_executor__deadline__year=year) \ .order_by('username') \ .values('username', 'real_name', 'sub_executor', 'sub_executor__predict_work', 'sub_executor__real_work', 'sub_executor__evaluate_factor', 'sub_executor__maturity', 'sub_executor__quality_mark__mark_value__mark_value', 'sub_executor__deadline') # 构建工作包id对应协办人人数的字典 sub_exe_count = {} for i in sub_count: key = i['id'] value = i['sub_count'] sub_exe_count[key] = value # print(sub_exe_count) # 计算每个承办任务的预计、实际工作量，并插入字典 for i in main_credit: # 将成熟度由百分数转小数，以便其后与其他变量计算 eg. 50% -> 0.5 i['main_executor__maturity'] = decimal.Decimal(float(i['main_executor__maturity'].strip('%')) / 100) # print(i['main_executor__maturity']) i['main_pre_cal'] = i['main_executor__predict_work'] * i['main_executor__evaluate_factor'] * i['main_executor__maturity'] i['main_real_cal'] = i['main_executor__real_work'] * i['main_executor__evaluate_factor'] * i['main_executor__maturity'] # print(i) # print(str(i['sub_executor'])) # 将协办任务对应的人数插入，计算每个协办任务的预计、实际工作量，并插入字典 for i in sub_credit: sub_todo_id = i['sub_executor'] i['sub_exe_count'] = sub_exe_count[sub_todo_id] i['sub_executor__maturity'] = decimal.Decimal(float(i['sub_executor__maturity'].strip('%')) / 100) i['sub_pre_cal'] = i['sub_executor__predict_work'] * (1 - i['sub_executor__evaluate_factor']) / i['sub_exe_count'] * i['sub_executor__maturity'] i['sub_real_cal'] = i['sub_executor__real_work'] * (1 - i['sub_executor__evaluate_factor']) / i['sub_exe_count'] * i['sub_executor__maturity'] i['sub_count'] = 1 # 用于帮助累加程序计算每个用户的协办任务数量， sub_exe_count会返回此协办任务的协办人数，在累加时导致计算错误 # print(i) # print(str(i['sub_executor'])) main_Q1st, main_Q2nd, main_Q3th, main_Q4th = [], [], [], [] for i in main_credit: # print(i['main_executor__deadline'].month) deadline_month = i['main_executor__deadline'].month if 1 <= deadline_month <= 3: main_Q1st.append(i) elif 4 <= deadline_month <= 6: main_Q2nd.append(i) elif 7 <= deadline_month <= 9: main_Q3th.append(i) elif 10 <= deadline_month <= 12: main_Q4th.append(i) # print(Q1st, Q2nd, Q3th, Q4th) sub_Q1st, sub_Q2nd, sub_Q3th, sub_Q4th = [], [], [], [] for i in sub_credit: # print(i['main_executor__deadline'].month) deadline_month = i['sub_executor__deadline'].month if 1 <= deadline_month <= 3: sub_Q1st.append(i) elif 4 <= deadline_month <= 6: sub_Q2nd.append(i) elif 7 <= deadline_month <= 9: sub_Q3th.append(i) elif 10 <= deadline_month <= 12: sub_Q4th.append(i) main_list = [main_Q1st, main_Q2nd, main_Q3th, main_Q4th] sub_list = [sub_Q1st, sub_Q2nd, sub_Q3th, sub_Q4th] result = cal_method(main_list, sub_list, user_name) print(result) stat = {} for key, value in result.items(): stat[key] = {} for j in value: stat[key]['real_name'] = j['real_name'] season = str(j['season']) real_cal_season = 'real_cal_' + season quality_season = 'quality_' + season stat[key][real_cal_season] = j[real_cal_season] stat[key][quality_season] = j[quality_season] print(j) print(stat) return HttpResponse(stat) # return render(request, 'tasks/index.html', context)