1

chapter2/mysite/myapp/apis.py

@@ -0,0 +1,18 @@
+import json
+from django.http import HttpResponse
+from myapp.models import *
+from myapp.utils import get_platform_info
+
+def _render_json(data):
+    response = HttpResponse(json.dumps(data, ensure_ascii=False),
+                            content_type="application/json; charset=utf-8")
+    return response
+
+def crawl_info(request):
+    _crawl_info = CrawlInfos.objects.order_by('-id').first()
+    return _render_json(_crawl_info)
+
+
+def platform_info(request):
+    _info = get_platform_info()
+    return _render_json(_info)

chapter2/mysite/myapp/urls.py

@@ -1,9 +1,13 @@
 from django.urls import path
 
 from . import views
+from . import apis
 
 urlpatterns = [
     path('',      views.crawl,  name='index'),
     path('crawl', views.crawl,  name='crawl'),
-    path('result',views.result, name='result'),
+    path('result', views.result, name='result'),
+    path('api/crawl_info.json', apis.crawl_info),
+    path('api/platform_info.json', apis.crawl_info),
+
 ]

chapter2/mysite/myapp/utils.py

@@ -1,13 +1,15 @@
-#coding=utf-8
+# coding=utf-8
 import platform
-import subprocess
 import re
+import subprocess
+
 
 def get_execute_out(cmd):
     return subprocess.getoutput(cmd)
 
+
 def get_platform_info():
-  if platform.system()=='Linux':
+    if platform.system() == 'Linux':
         ls = get_execute_out('top -bn 1 -i -c')
         infos = ls.split('\n')
 
@@ -21,26 +23,30 @@ def get_platform_info():
         if m:
             info["tasks"] = m.group(1)
 
-      m = re.match(r'%Cpu\(s\):\s+(.+?)\s+us,\s+(.+?)\s+sy,.+?ni,\s+(.+?)\s+id,', infos[2])
+        m = re.match(
+            r'%Cpu\(s\):\s+(.+?)\s+us,\s+(.+?)\s+sy,.+?ni,\s+(.+?)\s+id,', infos[2])
         if not m:
-        m = re.match(r'Cpu\(s\):\s+(.+?)%us,\s+(.+?)%sy,.+?ni,\s+(.+?)%id,', infos[2])
+            m = re.match(
+                r'Cpu\(s\):\s+(.+?)%us,\s+(.+?)%sy,.+?ni,\s+(.+?)%id,', infos[2])
         if m:
             info["cpu_us"] = m.group(1)
             info["cpu_sy"] = m.group(2)
             info["cpu_id"] = m.group(3)
 
-      m = re.match(r'KiB Mem : (\d+)\s+total,\s+(\d+)\s+free,\s+(\d+)\s+used,', infos[3])
+        m = re.match(
+            r'KiB Mem : (\d+)\s+total,\s+(\d+)\s+free,\s+(\d+)\s+used,', infos[3])
         if not m:
-        m = re.match(r'Mem:\s+(\d+)k\s+total,\s+(\d+)k\s+used,\s+(\d+)k\s+free,', infos[3])
+            m = re.match(
+                r'Mem:\s+(\d+)k\s+total,\s+(\d+)k\s+used,\s+(\d+)k\s+free,', infos[3])
         if m:
             info["mem_total"] = m.group(1)
             info["mem_free"] = m.group(2)
             info["mem_used"] = m.group(3)
 
-      #硬盘使用
+        # 硬盘使用
         out = get_execute_out('df -h')
         m = re.findall(r'\/dev\/vda1\s+(.+?)G\s+(.+?)G\s+(.+?)G', out)
-      if len(m)>0:
+        if len(m) > 0:
             info['disk_total'] = m[0][0]
             info['disk_used'] = m[0][1]
             info['disk_freed'] = m[0][2]
@@ -49,5 +55,6 @@ def get_platform_info():
 
     return {'up_time': '20:52', 'tasks': '127', 'cpu_us': '1.6', 'cpu_sy': '1.6', 'cpu_id': '96.9', 'mem_total': '12134268', 'mem_free': '5648868', 'mem_used': '4537556'}
 
+
 if __name__ == "__main__":
     print(get_platform_info())

chapter2/mysite/myapp/views.py

@@ -1,13 +1,13 @@
-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
 
+from django.shortcuts import render
+
+from myapp.models import CrawlInfos, Datas, LastDayCounts, News, Top10Sells
+from myapp.utils import get_platform_info
+
 
 def index(request):
-    return render(request, 'myapp/index.html')
+    return render(request, "myapp/index.html")
 
 
 def crawl(request):
@@ -41,7 +41,8 @@ def result(request):
         key='last_month_sell').first().data)
 
     hour_sell = json.loads(Datas.objects.filter(key='hour_sell').first().data)
-    sentiments = json.loads(Datas.objects.filter(key='sentiments').first().data)
+    sentiments = json.loads(Datas.objects.filter(
+        key='sentiments').first().data)
     return render(request, 'myapp/result.html', {"from_type_info": from_type_info,
                                                  "top10_sells": top10_sells,
                                                  "last_month_sell": last_month_sell,