我就廢話不多說了，大家還是直接看代碼吧！

def total_data(request): data = request_body(request, ’POST’) if not data: return http_return(400, ’參數錯誤’) # 前端傳入毫秒為單位的時間戳 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, ’參數有誤’) # 小于2019-05-30 00:00:00的時間不合法 if endTimestamp < startTimestamp or endTimestamp <= 1559145600 or startTimestamp <= 1559145600: return http_return(400, ’無效時間’) if startTimestamp and endTimestamp: # 給定時間查詢 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) # 用戶總人數 totalUsers = User.objects.exclude(status=’destroy’).count() # 音頻總數 totalAudioStory = AudioStory.objects.filter(isDelete=False).count() # 專輯總數 totalAlbums = Album.objects.filter(isDelete=False).count() # 新增用戶人數 newUsers = User.objects.filter(createTime__range=(t1, t2)).exclude(status=’destroy’).count() # 活躍用戶人數 activityUsers = LoginLog.objects.filter(createTime__range=(t1, t2), isManager=False).values(’userUuid_id’). annotate(Count(’userUuid_id’)).count() # 新增音頻數 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() # 模板音頻 aduioStoryCount = AudioStory.objects.filter( isDelete=False, audioStoryType=1, isUpload=1, createTime__range=(t1, t2)).count() # 自由錄制 freedomStoryCount = AudioStory.objects.filter( isDelete=False, audioStoryType=0, isUpload=1, createTime__range=(t1, t2)).count() # 兒歌 tags1 = Tag.objects.filter(code='RECORDTYPE', name=’兒歌’).first() tags1Count = tags1.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)).count() # 兒歌作品數 user1Count = tags1.tagsAudioStory.filter(isDelete=False, createTime__range=(t1, t2)). values(’userUuid_id’).annotate(Count(’userUuid_id’)).count()# 錄音類型人數，去重 # result = Tag.objects.filter(code='RECORDTYPE').annotate(Count(’tagsAudioStory’)) # 父母學堂 tags2 = Tag.objects.filter(code='RECORDTYPE', name=’父母學堂’).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() # 國學 tags3 = Tag.objects.filter(code='RECORDTYPE', name=’國學’).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’: ’兒歌’, ’tagsNum’: tags1Count, ’userNum’: user1Count}, {’name’: ’兒歌’, ’tagsNum’: tags2Count, ’userNum’: user2Count}, {’name’: ’國學’, ’tagsNum’: tags3Count, ’userNum’: user3Count}, {’name’: ’英文’, ’tagsNum’: tags4Count, ’userNum’: user4Count}, {’name’: ’其他’, ’tagsNum’: tags5Count, ’userNum’: user5Count} ] # 活躍用戶排行 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) # 熱門錄制排行 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) # 熱門播放排行 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) # 圖表數據--新增用戶 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 = [] # 活躍用戶 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, # 總用戶人數’totalAudioStory’: totalAudioStory, # 音頻總數’totalAlbums’: totalAlbums, # 總的專輯數’newUsers’: newUsers,# 新增用戶人數’activityUsers’: activityUsers, # 活躍用戶人數’newAudioStory’: newAudioStory, # 新增音頻數’activityUsersRank’: data1_list, # 活躍用戶排行’male’: male, # 男性’female’: female, # 女性’unkonwGender’: unkonwGender, # 未知性別’aduioStoryCount’: aduioStoryCount, # 模板音頻數量’freedomStoryCount’: freedomStoryCount, # 自由錄制音頻數量’recordTypePercentage’: recordTypePercentage,’hotRecordRank’: data2_list, # 熱門錄制排行’hotPlayAudioStoryRank’: data3_list, # 熱門播放排行’newUserGraph’: graph1, # 新增用戶折線圖’activityUserGraph’: graph2, # 活躍用戶折線圖 })

補充知識：Django 對符合條件的某個字段進行求和,聚合函數annotate()

開發環境：Ubuntu16.04+Django 1.11.9+Python2.7

對符合條件的某個字段求和　

之前在開發的時候,有同事問Django是否存在著這樣的方法,可以直接將符合條件的某個字段直接求和.

當時不知道這樣的方法是否存在,但是想了想自己解決這類似問題的方法,先用filter將符合條件的取出來,然后進行for循環,取出需要的字段,進行求和.感覺是挺low的,于是一起Baidu,寫代碼測試最后找到了可以求值的方法,聚合函數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’]

輸出結果:650

上面的參數換個順序,不會出錯但不符合預期結果.

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

輸出結果:’nums_book’

以上這篇Django ORM實現按天獲取數據去重求和例子就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支持好吧啦網。