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我已经使用 Solr 提取了 PDF/DOCX 内容,并且我已经成功地使用以下专门用于此的 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。我发现这个链接正在谈论这个问题:

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?

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1 回答 1

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文档中引用的“FileIndex”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,您将更新您的模板以包含该数据。

于 2014-07-21T22:59:56.320 回答