将提取的PDF内容与django-haystack集成

Question

我已经用Solr提取了PDF/DOCX内容，并成功地使用以下Solr URL建立了一些搜索查询：

http://localhost:8983/solr/select?q=Lycee

我想用django-haystack建立这样的查询。我找到了这个关于这个问题的链接：

https://github.com/toastdriven/django-haystack/blob/master/docs/rich_content_extraction.rst

但是没有使用django-haystack (2.0.0-beta)的"FileIndex“类。如何在django-haystack中集成这样的搜索？

Answer 1

文档中引用的"FileIndex“是haystack.indexes.SearchIndex的假设子类。下面是一个示例：

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将被您提出的提取PDF/DOCX内容的任何过程所取代。然后，您将更新模板以包含该数据。