我已经使用Solr提取了PDF / DOCX内容,并且我已经使用以下专用于此的Solr URL来建立一些搜索查询:
http://localhost:8983/solr/select?q=Lycee
我想用django-haystack建立一个这样的查询。我发现这个链接正在讨论这个问题:
https://github.com/toastdriven/django-haystack/blob/master/docs/rich_content_extraction.rst
但是django-haystack(2.0.0-beta)没有“FileIndex”类。如何在django-haystack中集成这样的搜索?
答案 0 :(得分:1)
" FileIndex"文档中引用的是haystack.indexes.SearchIndex的假设子类。这是一个例子:
from haystack import indexes
from myapp.models import MyFile
class FileIndex(indexes.SearchIndex, indexes.Indexable):
text = indexes.CharField(document=True, use_template=True)
title = indexes.CharField(model_attr='title')
owner = indexes.CharField(model_attr='owner__name')
def get_model(self):
return MyFile
def index_queryset(self, using=None):
return self.get_model().objects.all()
def prepare(self, obj):
data = super(FileIndex, self).prepare(obj)
# This could also be a regular Python open() call, a StringIO instance
# or the result of opening a URL. Note that due to a library limitation
# file_obj must have a .name attribute even if you need to set one
# manually before calling extract_file_contents:
file_obj = obj.the_file.open()
extracted_data = self.backend.extract_file_contents(file_obj)
# Now we'll finally perform the template processing to render the
# text field with *all* of our metadata visible for templating:
t = loader.select_template(('search/indexes/myapp/myfile_text.txt', ))
data['text'] = t.render(Context({'object': obj,
'extracted': extracted_data}))
return data
因此,extracted_data
将替换为您提出的用于提取PDF / DOCX内容的任何流程。然后,您将更新模板以包含该数据。