bigdata/chapter2/mysite/myapp/views.py

from django.shortcuts import render
from django.http import HttpResponse
from . import scrapy_client
from myapp.models import CrawlInfos,PlatformInfos, News,LastDayCounts, Datas, Top10Sells
from myapp.utils import get_platform_info
import json

def index(request):
	return render(request, 'myapp/index.html')

def crawl(request):
  # info = scrapy_client.get_scrapy_info()
  crawl_info = CrawlInfos.objects.order_by('-id').first()
  platform_info = get_platform_info()
  news = News.objects.order_by('-id').all()[0:20]
  last_day_counts = LastDayCounts.objects.order_by("last_day").all()

  last_day_product = []
  last_day_comment = []
  for last_day in last_day_counts:
    last_day_product.append(last_day.product_c)
    last_day_comment.append(last_day.comment_c)

  return render(request, 'myapp/crawl.html', {"crawl_info": crawl_info, 
    "platform_info":json.dumps(platform_info),
    "news": news,
    "last_day_product":json.dumps(last_day_product),
    "last_day_comment": json.dumps(last_day_comment)})	

def result(request):
  from_type_info = json.loads(Datas.objects.filter(key='from_type').first().data)
  top10_sells = [entry for entry in Top10Sells.objects.order_by('id').values()]

  last_month_sell = json.loads(Datas.objects.filter(key='last_month_sell').first().data)

  hour_sell = json.loads(Datas.objects.filter(key='hour_sell').first().data)
  return render(request, 'myapp/result.html', {"from_type_info": from_type_info, 
    "top10_sells": top10_sells, "last_month_sell": last_month_sell, "hour_sell": hour_sell})