Django ORM实现按天获取数据去重求和例子

我就废话不多说了，大家还是直接看代码吧！

def total_data(request): data = request_body(request, ’POST’) if not data: return http_return(400, ’参数错误’) # 前端传入毫秒为单位的时间戳 startTimestamp = data.get(’startTime’, ’’) endTimestamp = data.get(’endTime’, ’’) if startTimestamp and endTimestamp: startTimestamp = int(startTimestamp/1000) endTimestamp = int(endTimestamp/1000) else: return http_return(400, ’参数有误’) # 小于2019-05-30 00:00:00的时间不合法 if endTimestamp < startTimestamp or endTimestamp <= 1559145600 or startTimestamp <= 1559145600: return http_return(400, ’无效时间’) if startTimestamp and endTimestamp: # 给定时间查询 startTime = datetime.fromtimestamp(startTimestamp) endTime = datetime.fromtimestamp(endTimestamp) t1 = datetime(startTime.year, startTime.month, startTime.day) t2 = datetime(endTime.year, endTime.month, endTime.day, 23, 59, 59, 999999) # 用户总人数 totalUsers = User.objects.exclude(status=’destroy’).count() # 音频总数 totalAudioStory = AudioStory.objects.filter(isDelete=False).count() # 专辑总数 totalAlbums = Album.objects.filter(isDelete=False).count() # 新增用户人数 newUsers = User.objects.filter(createTime__range=(t1, t2)).exclude(status=’destroy’).count() # 活跃用户人数 activityUsers = LoginLog.objects.filter(createTime__range=(t1, t2), isManager=False).values(’userUuid_id’). annotate(Count(’userUuid_id’)).count() # 新增音频数 newAudioStory = AudioStory.objects.filter(createTime__range=(t1, t2)).count() # 男性 male = User.objects.filter(gender=1).exclude(status=’destroy’).count() # 女性 female = User.objects.filter(gender=2).exclude(status=’destroy’).count() # 未知 unkonwGender = User.objects.filter(gender=0).exclude(status=’destroy’).count() # 模板音频 aduioStoryCount = AudioStory.objects.filter( isDelete=False, audioStoryType=1, isUpload=1, createTime__range=(t1, t2)).count() # 自由录制 freedomStoryCount = AudioStory.objects.filter( isDelete=False, audioStoryType=0, isUpload=1, createTime__range=(t1, t2)).count() # 儿歌 tags1 = Tag.objects.filter(code='RECORDTYPE', name=’儿歌’).first() tags1Count = tags1.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)).count() # 儿歌作品数 user1Count = tags1.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)). values(’userUuid_id’).annotate(Count(’userUuid_id’)).count()# 录音类型人数，去重 # result = Tag.objects.filter(code='RECORDTYPE').annotate(Count(’tagsAudioStory’)) # 父母学堂 tags2 = Tag.objects.filter(code='RECORDTYPE', name=’父母学堂’).first() tags2Count = tags2.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)).count() user2Count = tags2.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)). values(’userUuid_id’).annotate(Count(’userUuid_id’)).count() # 国学 tags3 = Tag.objects.filter(code='RECORDTYPE', name=’国学’).first() tags3Count = tags3.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)).count() user3Count = tags3.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)). values(’userUuid_id’).annotate(Count(’userUuid_id’)).count() # 英文 tags4 = Tag.objects.filter(code='RECORDTYPE', name=’英文’).first() tags4Count = tags4.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)).count() user4Count = tags4.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)). values(’userUuid_id’).annotate(Count(’userUuid_id’)).count() # 其他 tags5 = Tag.objects.filter(code='RECORDTYPE', name=’其他’).first() tags5Count = tags5.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)).count() user5Count = tags5.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)). values(’userUuid_id’).annotate(Count(’userUuid_id’)).count() recordTypePercentage = [ {’name’: ’儿歌’, ’tagsNum’: tags1Count, ’userNum’: user1Count}, {’name’: ’儿歌’, ’tagsNum’: tags2Count, ’userNum’: user2Count}, {’name’: ’国学’, ’tagsNum’: tags3Count, ’userNum’: user3Count}, {’name’: ’英文’, ’tagsNum’: tags4Count, ’userNum’: user4Count}, {’name’: ’其他’, ’tagsNum’: tags5Count, ’userNum’: user5Count} ] # 活跃用户排行 data1_list = [] # result = AudioStory.objects.filter(isDelete=False, createTime__range=(t1, t2)).values(’userUuid_id’).annotate(Count(’userUuid_id’))[:1] res = User.objects.annotate(audioStory_count_by_user = Count('useAudioUuid')).order_by(’-audioStory_count_by_user’)[:5] for index,item in enumerate(res.values()): data = {’orderNum’: index+1,’name’: item[’nickName’],’recordCount’: item[’audioStory_count_by_user’] } data1_list.append(data) # 热门录制排行 data2_list = [] res = Story.objects.filter(status='normal', createTime__range=(t1, t2)).order_by(’-recordNum’)[:5] for index,item in enumerate(res.values()): data = {’orderNum’: index + 1 or -1,’name’: item[’name’] or ’’,’recordNum’: item[’recordNum’] or 0 } data2_list.append(data) # 热门播放排行 data3_list = [] audioStory = AudioStory.objects.filter(isDelete=False, createTime__range=(t1, t2)).order_by(’-playTimes’)[:5] for index,item in enumerate(audioStory): data = {’orderNum’: index + 1,’name’: item.storyUuid.name if item.audioStoryType else item.name,’playTimes’: item.playTimes } data3_list.append(data) # 图表数据--新增用户 graph1 = User.objects.filter(createTime__range=(t1, t2)). extra(select={'time': 'DATE_FORMAT(createTime,’%%Y-%%m-%%e’)'}). order_by(’time’).values(’time’) .annotate(userNum=Count(’createTime’)).values(’time’, ’userNum’) if graph1: graph1 = list(graph1) else: graph1 = [] # 活跃用户 graph2 = LoginLog.objects.filter(createTime__range=(t1, t2), isManager=False). extra(select={'time': 'DATE_FORMAT(createTime,’%%Y-%%m-%%e’)'}). values(’time’).annotate(userNum=Count(’createTime’, distinct=True)).values(’time’, ’userNum’) if graph2: graph2 = list(graph2) else: graph2 = [] return http_return(200, ’OK’, {’totalUsers’: totalUsers, # 总用户人数’totalAudioStory’: totalAudioStory, # 音频总数’totalAlbums’: totalAlbums, # 总的专辑数’newUsers’: newUsers,# 新增用户人数’activityUsers’: activityUsers, # 活跃用户人数’newAudioStory’: newAudioStory, # 新增音频数’activityUsersRank’: data1_list, # 活跃用户排行’male’: male, # 男性’female’: female, # 女性’unkonwGender’: unkonwGender, # 未知性别’aduioStoryCount’: aduioStoryCount, # 模板音频数量’freedomStoryCount’: freedomStoryCount, # 自由录制音频数量’recordTypePercentage’: recordTypePercentage,’hotRecordRank’: data2_list, # 热门录制排行’hotPlayAudioStoryRank’: data3_list, # 热门播放排行’newUserGraph’: graph1, # 新增用户折线图’activityUserGraph’: graph2, # 活跃用户折线图 })

补充知识：Django 对符合条件的某个字段进行求和,聚合函数annotate()

开发环境：Ubuntu16.04+Django 1.11.9+Python2.7

对符合条件的某个字段求和　

之前在开发的时候,有同事问Django是否存在着这样的方法,可以直接将符合条件的某个字段直接求和.

当时不知道这样的方法是否存在,但是想了想自己解决这类似问题的方法,先用filter将符合条件的取出来,然后进行for循环,取出需要的字段,进行求和.感觉是挺low的,于是一起Baidu,写代码测试最后找到了可以求值的方法,聚合函数annotate().

from django.db.models import Sumfrom models import Bookall_price = Book.objects.values(’price’).annotate(num_books=Sum(’price’)).filter(author=’Yu’)print all_price[0][’num_books’]

输出结果:650

上面的参数换个顺序,不会出错但不符合预期结果.

all_price = Book.objects.annotate(num_books=Sum(’price’)).filter(author=’Yu’).values(’price’)print all_youxibi[0][’num_books’]

输出结果:’nums_book’

以上这篇Django ORM实现按天获取数据去重求和例子就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持好吧啦网。