| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137 | #!/usr/bin/env python3# -*- coding: utf-8 -*-import jsonimport timefrom django.db.models import Countfrom django.views.decorators.csrf import csrf_exemptfrom Model.models import UserAppFrequencyModel, AppFrequencyStatisticsModel, Device_User, \    AppFrequencyYearStatisticsModelfrom Object.ResponseObject import ResponseObjectfrom Object.TokenObject import TokenObject@csrf_exemptdef statistcsAppFrequency(request):    request.encoding = 'utf-8'    response = ResponseObject()    if request.method == 'POST':        request_dict = request.POST    elif request.method == 'GET':        request_dict = request.GET    else:        return response.json(444)    token = TokenObject(request_dict.get('token', None))    if token.code != 0:        return response.json(token.code)    target_year = request_dict.get('year', None)    target_month = request_dict.get('month', None)    localtime = time.localtime()    current_month = localtime.tm_mon    current_year = localtime.tm_year    if target_year and target_month:        current_year = int(target_year)        current_month = int(target_month)    time_struct = [current_year, 1, 1, 0, 0, 0, 0, 0, 0]    # 该月的开始时间    time_struct[1] = current_month    start_time = time.mktime(tuple(time_struct))    # 该月的结束时间    time_struct[1] = current_month + 1    end_time = time.mktime(tuple(time_struct))    # 统计该月的数据    uaf_qs = UserAppFrequencyModel.objects.filter(data_time__gte=start_time, data_time__lt=end_time) \        .values('type').annotate(quantity=Count('id')).order_by()    afs_qs = AppFrequencyStatisticsModel.objects.filter(year=current_year, month=current_month)    if afs_qs.exists():        afs_qs.update(data=json.dumps(uaf_qs))    else:        data = {            'data': json.dumps(list(uaf_qs)),            'month': current_month,            'year': current_year        }        AppFrequencyStatisticsModel.objects.create(**data)    return response.json(0)@csrf_exemptdef statistcsAppFrequencyYear(request):    request.encoding = 'utf-8'    response = ResponseObject()    if request.method == 'POST':        request_dict = request.POST    elif request.method == 'GET':        request_dict = request.GET    else:        return response.json(444)    token = TokenObject(request_dict.get('token', None))    if token.code != 0:        return response.json(token.code)    year = request_dict.get('year', None)    localtime = time.localtime()    current_year = localtime.tm_year    if year:        current_year = int(year)    afs_qs = AppFrequencyStatisticsModel.objects.filter(year=current_year).values('data', 'month')    # num = Device_User.objects.count()    num = 300000    res = []    result = {        0: 0,        1: 0,        2: 0,        3: 0,        4: 0,        5: 0,        6: 0    }    quantity = 0    for afs in afs_qs:        data = json.loads(afs['data'])        for item in data:            result[item['type']] += item['quantity']            quantity += item['quantity']    tmps = []    for k, v in result.items():        tmp = {            'type': k,            'value': round(v / 12 / num, 3)        }        tmps.append(tmp)    res.append({        'year': current_year,        'data': tmps    })    print(res)    afys_qs = AppFrequencyYearStatisticsModel.objects.filter(year=current_year)    #    if afys_qs.exists():        afys_qs.update(data=json.dumps(res))    else:        data = {            'data': json.dumps(res),            'year': current_year,            'num': num        }        AppFrequencyYearStatisticsModel.objects.create(**data)    return response.json(0)
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