python - Elasticsearch-dsl 嵌套查询

Question

我在我的 Django 项目中使用 elasticsearch-dsl 库来索引数据然后查询回来。

我有以下模型:

class Comments(models.Model):

    comment_id = models.CharField(max_length=1000,blank=True,null=True)
    user_post_id = models.ForeignKey('UserPosts',null=True)
    score =  models.CharField(max_length=1000,blank=True,null=True)
    text = models.TextField(blank=True,null=True)
    creation_date = models.CharField(max_length=1000,blank=True,null=True)


    def __unicode__(self):
        return self.comment_id

    def indexing(self):


        obj = CommentsIndex(
            meta={'id': self.id},
            comment_id=self.comment_id,
            user_post_id=self.user_post_id,
            score=self.score,
            text=self.text,
            creation_date=self.creation_date,
        )
        obj.save(index='comments-index')
        return obj.to_dict(include_meta=True)


class UserPosts(models.Model):

    user_post_id = models.CharField(max_length = 1000 , blank = True , null = True)
    user_post_type_id = models.CharField(max_length = 1000 , blank = True , null = True)
    accepted_answer_id = models.CharField(max_length = 1000 , blank = True , null = True)
    creation_date = models.CharField(max_length=1000,blank = True , null = True)
    score = models.CharField(max_length = 1000 , blank = True , null = True)
    view_count = models.CharField(max_length = 1000 , blank = True , null = True)
    body = models.TextField( blank = True , null = True)
    last_editor_user_id = models.CharField(max_length = 1000 , blank = True , null = True)
    last_editor_display_name = models.CharField(max_length = 1000 , blank = True , null = True)
    last_edit_date = models.CharField(max_length = 1000 , blank = True , null = True)
    last_activity_date =models.CharField(max_length = 1000 , blank = True , null = True)
    title = models.CharField(max_length = 1000 , blank = True , null = True)
    tags = models.CharField(max_length = 1000 , blank = True , null = True)
    answer_count = models.CharField(max_length = 1000 , blank = True , null = True)
    comment_count = models.CharField(max_length = 1000 , blank = True , null = True)
    favorite_count = models.CharField(max_length = 1000 , blank = True , null = True)
    owner_user_id = models.ForeignKey(StackOverFlowUsers,null=True)
    parent_id = models.CharField(max_length = 1000 , blank = True , null = True)

    def __unicode__(self):

        return self.user_post_id

这就是我将模型包装在文档类型中的方式:

class UserPostsIndex(InnerDoc):
    user_post_id = Text()
    score = Text()



class CommentsIndex(DocType):
    comment_id = Text()
    user_post_id = Nested(UserPostsIndex)
    score = Text()
    text = Text()
    creation_date = Text()
 

当我调用以下函数时，我的数据被索引到 Elasticsearch 中:

def bulk_indexing():
    CommentsIndex.init(index='comments-index')
    es = Elasticsearch()
    bulk(client=es, actions=(b.indexing() for b in models.Comments.objects.all().iterator()))

我尝试测试是否可以查询我的数据的方法是使用如下搜索功能:

def search(text):
    s = Search(index="comments-index").filter("term",  score= text)
    response = s.execute()
    return response

我无法查询嵌套对象并尝试了很多不同的方法但都失败了。如何获取嵌套对象字段，例如 user_post_id.score？

Answer 1

像这样的东西应该可以工作:

CommentsIndex.search().query('nested', path='user_post_id', query=Q('range', eser_post_id__score={'gt': 42}))