python – 使用django-haystack集成提取的PDF内容

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,extract_data将替换为您提出的用于提取PDF / DOCX内容的任何过程.然后,您将更新模板以包含该数据.