Django利用elasticsearch(搜索引擎)实现搜索功能

"""pachong URL Configuration

The `urlpatterns` list routes URLs to views. For more information please see:
 https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
 1. Add an import: from my_app import views
 2. Add a URL to urlpatterns: url(r'^/pre>, views.home, name='home')
Class-based views
 1. Add an import: from other_app.views import Home
 2. Add a URL to urlpatterns: url(r'^/pre>, Home.as_view(), name='home')
Including another URLconf
 1. Import the include() function: from django.conf.urls import url, include
 2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls'))
"""
from django.conf.urls import url
from django.contrib import admin
from app1 import views

urlpatterns = [
 url(r'^admin/', admin.site.urls),
 url(r'^/pre>, views.indexluoji),
 url(r'^index/', views.indexluoji),
 url(r'^suggest//pre>, views.suggestluoji,name="suggest"),  # 搜索字段补全请求
 url(r'^search//pre>, views.searchluoji,name="search"),  # 搜索

]

from django.shortcuts import render

# Create your views here.
from django.shortcuts import render,HttpResponse
from django.views.generic.base import View
from app1.models import lagouType    # 导入操作elasticsearch(搜索引擎)类
import json
from elasticsearch import Elasticsearch   # 导入原生的elasticsearch(搜索引擎)接口
client = Elasticsearch(hosts=["127.0.0.1"])  # 连接原生的elasticsearch

def indexluoji(request):
 print(request.method) # 获取用户请求的路径
 return render(request, 'index.html')

def suggestluoji(request):          # 搜索自动补全逻辑处理
 key_words = request.GET.get('s', '')      # 获取到请求词
 re_datas = []
 if key_words:
  s = lagouType.search()         # 实例化elasticsearch(搜索引擎)类的search查询
  s = s.suggest('my_suggest', key_words, completion={
   "field": "suggest", "fuzzy": {
    "fuzziness": 1
   },
   "size": 5
  })
  suggestions = s.execute_suggest()
  for match in suggestions.my_suggest[0].options:
   source = match._source
   re_datas.append(source["title"])
 return HttpResponse(json.dumps(re_datas), content_type="application/json")

def searchluoji(request):          # 搜索逻辑处理
 key_words = request.GET.get('q', '')      # 获取到请求词
 response = client.search(         # 原生的elasticsearch接口的search()方法，就是搜索，可以支持原生elasticsearch语句查询
  index="lagou",           # 设置索引名称
  doc_type="biao",          # 设置表名称
  body={             # 书写elasticsearch语句
   "query": {
    "multi_match": {        # multi_match查询
     "query": key_words,       # 查询关键词
     "fields": ["title", "description"]   # 查询字段
    }
   },
   "from": 0,           # 从第几条开始获取
   "size": 10,           # 获取多少条数据
   "highlight": {          # 查询关键词高亮处理
    "pre_tags": [''],   # 高亮开始标签
    "post_tags": [''],      # 高亮结束标签
    "fields": {          # 高亮设置
     "title": {},        # 高亮字段
     "description": {}       # 高亮字段
    }
   }
  }
 )
 total_nums = response["hits"]["total"]      # 获取查询结果的总条数
 hit_list = []            # 设置一个列表来储存搜索到的信息，返回给html页面
 for hit in response["hits"]["hits"]:      # 循环查询到的结果
  hit_dict = {}           # 设置一个字典来储存循环结果
  if "title" in hit["highlight"]:       # 判断title字段，如果高亮字段有类容
   hit_dict["title"] = "".join(hit["highlight"]["title"])  # 获取高亮里的title
  else:
   hit_dict["title"] = hit["_source"]["title"]     # 否则获取不是高亮里的title

  if "description" in hit["highlight"]:       # 判断description字段，如果高亮字段有类容
   hit_dict["description"] = "".join(hit["highlight"]["description"])[:500] # 获取高亮里的description
  else:
   hit_dict["description"] = hit["_source"]["description"]  # 否则获取不是高亮里的description

  hit_dict["url"] = hit["_source"]["url"]       # 获取返回url

  hit_list.append(hit_dict)          # 将获取到内容的字典，添加到列表
 return render(request, 'result.html', {"all_hits": hit_list, "key_words": key_words})  #显示页面和将列表和搜索词返回到html

{#引入静态文件路径#}
{% load staticfiles %}









 

  

  

   
   
  
 
 

  

   
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     {% for hit in all_hits %}
     

       

        {% autoescape off %} {{ hit.title }} {% endautoescape %}
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        {% autoescape off %} {{ hit.description }} {% endautoescape %}
       
      
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