django haystack实现全文检索的示例代码

 pip3 install django-haystack pip3 install whoosh pip3 install jieba

 '''注册app ''' INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', # haystack要放在应用的上面 'haystack', 'myapp', # 这个jsapp是自己创建的app ] '''配置haystack ''' # 全文检索框架配置 HAYSTACK_CONNECTIONS = { 'default': { # 指定whoosh引擎 'ENGINE': 'haystack.backends.whoosh_backend.WhooshEngine', # 'ENGINE': 'myapp.whoosh_cn_backend.WhooshEngine',   # whoosh_cn_backend是haystack的whoosh_backend.py改名的文件为了使用jieba分词 # 索引文件路径 'PATH': os.path.join(BASE_DIR, 'whoosh_index'), } } # 添加此项，当数据库改变时，会自动更新索引，非常方便 HAYSTACK_SIGNAL_PROCESSOR = 'haystack.signals.RealtimeSignalProcessor'

 from django.db import models # Create your models here. class UserInfo(models.Model): name = models.CharField(max_length=254) age = models.IntegerField() class ArticlePost(models.Model): author = models.ForeignKey(UserInfo,on_delete=models.CASCADE) title = models.CharField(max_length=200) desc = models.SlugField(max_length=500) body = models.TextField()

 from haystack import indexes from .models import ArticlePost # 修改此处，类名为模型类的名称+Index，比如模型类为GoodsInfo,则这里类名为GoodsInfoIndex(其实可以随便写) class ArticlePostIndex(indexes.SearchIndex, indexes.Indexable): # text为索引字段 # document = True，这代表haystack和搜索引擎将使用此字段的内容作为索引进行检索 # use_template=True 指定根据表中的那些字段建立索引文件的说明放在一个文件中 text = indexes.CharField(document=True, use_template=True) # 对那张表进行查询 def get_model(self): # 重载get_model方法，必须要有！ # 返回这个model return ArticlePost # 建立索引的数据 def index_queryset(self, using=None): # 这个方法返回什么内容，最终就会对那些方法建立索引，这里是对所有字段建立索引 return self.get_model().objects.all()

 {{ object.title }} {{ object.author.name }} {{ object.body }}

 python manage.py rebuild_index # 建立索引文件

 '''1.复制源码中文件并改名 ''' 将 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/ site-packages/haystack/backends/whoosh_backend.py文件复制到项目中 并将 whoosh_backend.py改名为 whoosh_cn_backend.py 放在APP中如： myapp\whoosh_cn_backend.py '''2.修改源码中文件''' # 在全局引入的最后一行加入jieba分词器 from jieba.analyse import ChineseAnalyzer # 修改为中文分词法 查找 analyzer=StemmingAnalyzer() 改为 analyzer=ChineseAnalyzer()

 from django.shortcuts import render # Create your views here. import json from django.conf import settings from django.core.paginator import InvalidPage, Paginator from django.http import Http404, HttpResponse,JsonResponse from haystack.forms import ModelSearchForm from haystack.query import EmptySearchQuerySet RESULTS_PER_PAGE = getattr(settings, 'HAYSTACK_SEARCH_RESULTS_PER_PAGE', 20) def basic_search(request, load_all=True, form_class=ModelSearchForm, searchqueryset=None, extra_context=None, results_per_page=None): query = '' results = EmptySearchQuerySet() if request.GET.get('q'): form = form_class(request.GET, searchqueryset=searchqueryset, load_all=load_all) if form.is_valid(): query = form.cleaned_data['q'] results = form.search() else: form = form_class(searchqueryset=searchqueryset, load_all=load_all) paginator = Paginator(results, results_per_page or RESULTS_PER_PAGE) try: page = paginator.page(int(request.GET.get('page', 1))) except InvalidPage: result = {"code": 404, "msg": 'No file found！', "data": []} return HttpResponse(json.dumps(result), content_type="application/json") context = { 'form': form, 'page': page, 'paginator': paginator, 'query': query, 'suggestion': None, } if results.query.backend.include_spelling: context['suggestion'] = form.get_suggestion() if extra_context: context.update(extra_context) jsondata = [] print(len(page.object_list)) for result in page.object_list: data = { 'pk': result.object.pk, 'title': result.object.title, 'content': result.object.body, } jsondata.append(data) result = {"code": 200, "msg": 'Search successfully！', "data": jsondata} return JsonResponse(result, content_type="application/json")