Question

代码：

class Article(models.Model):
    hits              = models.IntegerField(help_text = 'Visits count')
    answer_to_article = models.ForeignKey('self', blank = True, null = True)
    slug              = models.SlugField(unique = True, help_text = 'Address')
    meta_keywords     = models.CharField(max_length = 512)
    title             = models.CharField(max_length = 256)
    content           = models.TextField(verbose_name = 'Article contents', help_text = 'Article contents')

    def get_similar_articles_from_meta_and_relation(self, phrase, offset = 0, limit = 10):
        return ArticleToArticle.objects.find(article_one)[offset:limit]

    class Meta:
        db_table = 'article'

#only a relational table - one article can have similar articles chosen by it's author
class ArticleToArticle(models.Model):
    article_one = models.ForeignKey(Article, related_name = 'article_source')
    article_two = models.ForeignKey(Article, related_name = 'article_similar')

    class Meta:
        db_table = 'article_to_article'

我的问题是关于我的文章模型中的get_similar_articles_from_meta_and_relation方法 - 我想： 1.找到连接到我的实例的其他文章 2.根据给定的短语过滤它们（meta_keywords）虽然我对前者没有问题，但我确实遇到了问题。

Answer 1

不确定元关键字和短语参数之间的关系是什么，但您可能需要类似的内容：

class Article(models.Model):
    hits              = models.IntegerField(help_text = 'Visits count')
    answer_to_article = models.ForeignKey('self', blank = True, null = True)
    slug              = models.SlugField(unique = True, help_text = 'Address')
    meta_keywords     = models.CharField(max_length = 512)
    title             = models.CharField(max_length = 256)
    content           = models.TextField(verbose_name = 'Article contents', help_text = 'Article contents')
    similar_articles  = models.ManyToMany('self')

    def get_similar_articles_from_meta_and_relation(self, phrase, offset = 0, limit = 10):
        return self.similar_articles.filter(meta_keywords=phrase)[offset:limit]

    class Meta:
        db_table = 'article'

Django模型 - 两个表过滤器

1 个答案: