Automatic indexing when object created about django-elasticsearch-dsl

[sabricot]

hello,

I am not sure to understand your problem but if your goal is to index in es your Item Model with its tags the simplest solution is to store the tags as elastisearch object which lead to something like this.

models.py

class Tag(models.Model):
    name = models.CharField("Name", max_length=5000, blank=True)
    taglevel = models.IntegerField("Tag level", null=True, blank=True)

class Item(models.Model):
    title = models.CharField("Title", max_length=10000, blank=True)
    tag = models.ManyToManyField('Tag', blank=True)

    def tags(self):
        return self.tag.all()

documents.py

item = Index('test_item')
item.settings(
    number_of_shards=1,
    number_of_replicas=0
)

@item.doc_type
class ItemDocument(DocType):
    tags = fields.ObjectField(properties={
        'name': fields.StringField(),
        'taglevel': fields.IntegerField(),
    })

    class Meta:
        model = Item
        fields = [
            'title',
        ]

With this, your items will be indexed at each save on the django Item model.
And for example you can query elasticsearch like this:

results = ItemDocument.search().filter('term', **{'tags.taglevel': 4}

for doc in results:
    print(doc.title, doc.tags)

To get only items that have a tag with a taglevel of 4.

[yarnball]

Thanks but I'm not following how to implement that code.

I created a file called "documents.py" and added import models to it.

But I do not know where the following belongs:

results = ItemDocument.search().filter('term', **{'tags.taglevel': 4}

for doc in results:
    print(doc.title, doc.tags)

Can you please advise? Also- I want it to return all levels of tags

[yarnball]

I found the solution- it was to use signals.

m2m_changed.connect(update_search, sender=Item.tag.through)