DjangoORM如何实现按天获取数据去重求和-创新互联
这篇文章主要讲解了Django ORM如何实现按天获取数据去重求和，内容清晰明了，对此有兴趣的小伙伴可以学习一下，相信大家阅读完之后会有帮助。
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
graph2 = 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 graph2:
graph2 = list(graph2)
else:
graph2 = []
# 活跃用户
graph3 = 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 graph3:
graph3 = list(graph3)
else:
graph3 = []
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': graph2, # 新增用户折线图
'activityUserGraph': graph3, # 活跃用户折线图
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