2019独角兽企业重金招聘Python工程师标准>>> 
在阅读计数功能之后，就可以可根据每篇博客的阅读量来对博客进行热门统计排行了，如阅读周榜，月榜，总榜。基本上只要实现其中一个，其他两个也能照着做出来，大体上的逻辑是一样的。都是通过django自带的工具包中的timezone模块获取今天的日期格式，再通过datetime模块的timedelta方法来做日期的差值，然后筛选出这两个时间点之间发表的文章，除了总榜只需要筛选出日期小于今天发表的文章。将该时间段的博客列表筛选出来之后，通过聚合函数求出每篇文章的阅读量总和，然后进行阅读量的排序
1.周榜
import datetime
from django.utils import timezone
from django.db.models import Sum
from blog.models import Postdef get_7_days_read_posts():"""作用：获取阅读量周榜博客榜单"""today = timezone.now().date()date = today - datetime.timedelta(days=7)posts = Post.objects \.filter(read_detail__date__lt=today, read_detail__date__gte=date) \.values('id', 'title') \.annotate(read_num_sum=Sum('read_detail__read_num')) \.order_by('-read_num_sum')return posts[:15]2.月榜
import datetime
from django.utils import timezone
from django.db.models import Sum
from blog.models import Postdef get_30_days_read_posts():"""作用：获取阅读量月榜博客榜单"""today = timezone.now().date()date = today - datetime.timedelta(days=30)posts = Post.objects \.filter(read_detail__date__lt=today, read_detail__date__gte=date) \.values('id', 'title') \.annotate(read_num_sum=Sum('read_detail__read_num')) \.order_by('-read_num_sum')return posts[:15]3.总榜
import datetime
from django.utils import timezone
from django.db.models import Sum
from blog.models import Postdef get_all_read_posts():"""作用：获取阅读量总榜博客榜单"""today = timezone.now().date()posts = Post.objects \.filter(read_detail__date__lt=today) \.values('id', 'title') \.annotate(read_num_sum=Sum('read_detail__read_num')) \.order_by('-read_num_sum')return posts[:15]在首页视图中，还有最新发表的博客，最新推荐的博客和随机推荐的博客，他们的实现如下：
4.最新发表
from blog.models import Postnew_publish = Post.objects.all()[:15]5.最新推荐
import datetime
from django.utils import timezone
from .models import ReadDetaildef get_new_recommend_post(content_type):"""作用：获取最新推荐博客列表content_type:数据表的模型类"""today = timezone.now().date()yesterday = today - datetime.timedelta(days=1)read_detail = ReadDetail.objects.filter(content_type=content_type, date=yesterday).order_by('-read_num')return read_detail[0:15] # 前十五条6.随机推荐
import random
from blog.models import Postdef get_random_recomment():# 随机推荐random_posts = set()post_list = Post.objects.all()while random_posts.__len__() < 15:random_posts.add(random.choice(post_list))return random_posts
