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'^/pr<mark style="color:transparent">来源gaodaimacom搞#^代%!码网</mark>e>, 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": ['<span class="keyWord">'],   # 高亮开始标签 "post_tags": ['</span>'],      # 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 %}  <title>python-lcv-search搜索引擎</title> <div id="container"> <div id="hd" class="ue-clear"> <div class="logo"></div><div class="inputArea"> </div></div><div class="nav"> <ul class="searchList"> <li class="searchItem current">文章</li><li class="searchItem">问答</li><li class="searchItem">职位</li></ul></div><div id="bd" class="ue-clear"> <div id="main"> <div class="sideBar"> <div class="subfield">网站</div><ul class="subfieldContext"> <li> <span class="name">伯乐在线</span><span class="unit">(None)</span></li><li> <span class="name">知乎</span><span class="unit">(9862)</span></li><li> <span class="name">拉勾网</span><span class="unit">(9862)</span></li><li class="more">  <span class="text">更多</span><i class="moreIcon"></i></li></ul><div class="sideBarShowHide"> </div></div><div class="resultArea"> <p class="resultTotal"> <span class="info">找到约 <span class="totalResult">45</span> 条结果(用时<span class="time">0.643128</span>秒)，共约<span class="totalPage">5</span>页</span></p><div class="resultList"> {% for hit in all_hits %} <div class="resultItem"> <div class="itemHead"> {% autoescape off %} {{ hit.title }} {% endautoescape %}<span class="divsion">-</span><span class="fileType"> <span class="label">来源：</span><span class="value">网络</span></span><span class="dependValue"> <span class="label">得分：</span><span class="value">3.401155</span></span></div><div class="itemBody"> {% autoescape off %} {{ hit.description }} {% endautoescape %} </div></div> {% endfor %} </div><!-- 分页 --><div class="pagination ue-clear"></div><!-- 相关搜索 --></div><div class="historyArea"> <div class="hotSearch"> <h6>热门搜索</h6><ul class="historyList"> <li>linux</li></ul></div><div class="mySearch"> <h6>我的搜索</h6><ul class="historyList"> </ul></div></div></div><!-- End of main --></div><!--End of bd--></div><div id="foot">Copyright ©projectsedu.com 版权所有 E-mail:[email protected]</div>