1

chapter2/init.sql

@@ -88,3 +88,4 @@ create table datas (
 insert into datas (`key`, data) values ('from_type', '{}');
 insert into datas (`key`, data) values ('last_month_sell', '{}');
 insert into datas (`key`, data) values ('hour_sell', '{}');
+insert into datas (`key`, data) values ('sentiments', '{}');

chapter2/mysite/myapp/templates/myapp/result.html

@@ -11,6 +11,7 @@
       var top10_sells = {{top10_sells|safe}};
       var last_month_sell = {{last_month_sell|safe}};
       var hour_sell = {{hour_sell|safe}};
+      var sentiments = {{sentiments|safe}};
     </script>
 
     <script src="{% static "scripts/Plugin/jquery-3.3.1.min.js" %}"></script>

chapter2/mysite/myapp/views.py

@@ -1,39 +1,49 @@
 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.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')
+    return render(request, 'myapp/index.html')
+
 
 def crawl(request):
-  # info = scrapy_client.get_scrapy_info()
+    # info = scrapy_client.get_scrapy_info()
-  crawl_info = CrawlInfos.objects.order_by('-id').first()
+    crawl_info = CrawlInfos.objects.order_by('-id').first()
-  platform_info = get_platform_info()
+    platform_info = get_platform_info()
-  news = News.objects.order_by('-id').all()[0:20]
+    news = News.objects.order_by('-id').all()[0:20]
-  last_day_counts = LastDayCounts.objects.order_by("last_day").all()
+    last_day_counts = LastDayCounts.objects.order_by("last_day").all()
 
-  last_day_product = []
+    last_day_product = []
-  last_day_comment = []
+    last_day_comment = []
-  for last_day in last_day_counts:
+    for last_day in last_day_counts:
-    last_day_product.append(last_day.product_c)
+        last_day_product.append(last_day.product_c)
-    last_day_comment.append(last_day.comment_c)
+        last_day_comment.append(last_day.comment_c)
+
+    return render(request, 'myapp/crawl.html', {"crawl_info": crawl_info,
+                                                "platform_info_json": json.dumps(platform_info),
+                                                "platform_info": platform_info,
+                                                "news": news,
+                                                "last_day_product": json.dumps(last_day_product),
+                                                "last_day_comment": json.dumps(last_day_comment)})
 
-  return render(request, 'myapp/crawl.html', {"crawl_info": crawl_info, 
-    "platform_info_json":json.dumps(platform_info),
-    "platform_info": 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)
+    from_type_info = json.loads(
-  top10_sells = [entry for entry in Top10Sells.objects.order_by('id').values()]
+        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)
+    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)
+    hour_sell = json.loads(Datas.objects.filter(key='hour_sell').first().data)
-  return render(request, 'myapp/result.html', {"from_type_info": from_type_info, 
+    sentiments = json.loads(Datas.objects.filter(key='sentiments').first().data)
-    "top10_sells": top10_sells, "last_month_sell": last_month_sell, "hour_sell": hour_sell})	
+    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,
+                                                 "sentiments": sentiments})