ManyToMany
ManyToMany(to, through)
has required parameters to
and optional through
that takes target and relation Model
classes.
Sqlalchemy column and Type are automatically taken from target Model
.
- Sqlalchemy column: class of a target
Model
primary key column
- Type (used for pydantic): type of a target
Model
Defining Models
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35 | from typing import List, Optional
import databases
import ormar
import sqlalchemy
DATABASE_URL = "sqlite:///test.db"
ormar_base_config = ormar.OrmarConfig(
database=databases.Database(DATABASE_URL), metadata=sqlalchemy.MetaData()
)
class Author(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="authors")
id: int = ormar.Integer(primary_key=True)
first_name: str = ormar.String(max_length=80)
last_name: str = ormar.String(max_length=80)
class Category(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="categories")
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=40)
class Post(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="posts")
id: int = ormar.Integer(primary_key=True)
title: str = ormar.String(max_length=200)
categories: Optional[List[Category]] = ormar.ManyToMany(Category)
author: Optional[Author] = ormar.ForeignKey(Author)
|
Create sample data:
| guido = await Author.objects.create(first_name="Guido", last_name="Van Rossum")
post = await Post.objects.create(title="Hello, M2M", author=guido)
news = await Category.objects.create(name="News")
|
Reverse relation
ForeignKey
fields are automatically registering reverse side of the relation.
By default it's child (source) Model
name + s, like posts
in snippet below:
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26 | class Category(ormar.Model):
ormar_config = base_ormar_config.copy(tablename="categories")
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=40)
class Post(ormar.Model):
ormar_config = base_ormar_config.copy()
id: int = ormar.Integer(primary_key=True)
title: str = ormar.String(max_length=200)
categories: Optional[List[Category]] = ormar.ManyToMany(Category)
# create some sample data
post = await Post.objects.create(title="Hello, M2M")
news = await Category.objects.create(name="News")
await post.categories.add(news)
# now you can query and access from both sides:
post_check = Post.objects.select_related("categories").get()
assert post_check.categories[0] == news
# query through auto registered reverse side
category_check = Category.objects.select_related("posts").get()
assert category_check.posts[0] == post
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Reverse relation exposes API to manage related objects also from parent side.
By default, the related_name is generated in the same way as for the ForeignKey
relation (class.name.lower()+'s'),
but in the same way you can overwrite this name by providing related_name
parameter like below:
| categories: Optional[Union[Category, List[Category]]] = ormar.ManyToMany(
Category, through=PostCategory, related_name="new_categories"
)
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Warning
When you provide multiple relations to the same model ormar
can no longer auto generate
the related_name
for you. Therefore, in that situation you have to provide related_name
for all but one (one can be default and generated) or all related fields.
Skipping reverse relation
If you are sure you don't want the reverse relation you can use skip_reverse=True
flag of the ManyToMany
.
If you set skip_reverse
flag internally the field is still registered on the other
side of the relationship so you can:
filter
by related models fields from reverse model
order_by
by related models fields from reverse model
But you cannot:
- access the related field from reverse model with
related_name
- even if you
select_related
from reverse side of the model the returned models won't be populated in reversed instance (the join is not prevented so you still can filter
and order_by
over the relation)
- the relation won't be populated in
model_dump()
and json()
- you cannot pass the nested related objects when populating from dictionary or json (also through
fastapi
). It will be either ignored or error will be raised depending on extra
setting in pydantic Config
.
Example:
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36 | class Category(ormar.Model):
ormar_config = base_ormar_config.copy(tablename="categories")
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=40)
class Post(ormar.Model):
ormar_config = base_ormar_config.copy()
id: int = ormar.Integer(primary_key=True)
title: str = ormar.String(max_length=200)
categories: Optional[List[Category]] = ormar.ManyToMany(Category, skip_reverse=True)
# create some sample data
post = await Post.objects.create(title="Hello, M2M")
news = await Category.objects.create(name="News")
await post.categories.add(news)
assert post.categories[0] == news # ok
assert news.posts # Attribute error!
# but still can use in order_by
categories = (
await Category.objects.select_related("posts").order_by("posts__title").all()
)
assert categories[0].first_name == "Test"
# note that posts are not populated for author even if explicitly
# included in select_related - note no posts in model_dump()
assert news.model_dump(exclude={"id"}) == {"name": "News"}
# still can filter through fields of related model
categories = await Category.objects.filter(posts__title="Hello, M2M").all()
assert categories[0].name == "News"
assert len(categories) == 1
|
Through Model
Optionally if you want to add additional fields you can explicitly create and pass
the through model class.
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32 | import databases
import ormar
import sqlalchemy
DATABASE_URL = "sqlite:///test.db"
ormar_base_config = ormar.OrmarConfig(
database=databases.Database(DATABASE_URL), metadata=sqlalchemy.MetaData()
)
class Category(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="categories")
id = ormar.Integer(primary_key=True)
name = ormar.String(max_length=40)
class PostCategory(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="posts_x_categories")
id: int = ormar.Integer(primary_key=True)
sort_order: int = ormar.Integer(nullable=True)
param_name: str = ormar.String(default="Name", max_length=200)
class Post(ormar.Model):
ormar_config = ormar_base_config.copy()
id: int = ormar.Integer(primary_key=True)
title: str = ormar.String(max_length=200)
categories = ormar.ManyToMany(Category, through=PostCategory)
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Warning
Note that even of you do not provide through model it's going to be created for you automatically and
still has to be included in example in alembic
migrations.
Tip
Note that you need to provide through
model if you want to
customize the Through
model name or the database table name of this model.
If you do not provide the Through field it will be generated for you.
The default naming convention is:
- for class name it's union of both classes name (parent+other) so in example above
it would be
PostCategory
- for table name it similar but with underscore in between and s in the end of class
lowercase name, in example above would be
posts_categorys
Customizing Through relation names
By default Through
model relation names default to related model name in lowercase.
So in example like this:
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15 | ... # course declaration omitted
class Student(ormar.Model):
ormar_config = base_ormar_config.copy()
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=100)
courses = ormar.ManyToMany(Course)
# will produce default Through model like follows (example simplified)
class StudentCourse(ormar.Model):
ormar_config = base_ormar_config.copy(tablename="students_courses")
id: int = ormar.Integer(primary_key=True)
student = ormar.ForeignKey(Student) # default name
course = ormar.ForeignKey(Course) # default name
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To customize the names of fields/relation in Through model now you can use new parameters to ManyToMany
:
through_relation_name
- name of the field leading to the model in which ManyToMany
is declared
through_reverse_relation_name
- name of the field leading to the model to which ManyToMany
leads to
Example:
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23 | ... # course declaration omitted
base_ormar_config = ormar.OrmarConfig(
database=databases.Database("sqlite:///db.sqlite"),
metadata=sqlalchemy.MetaData(),
)
class Student(ormar.Model):
ormar_config = base_ormar_config.copy()
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=100)
courses = ormar.ManyToMany(Course,
through_relation_name="student_id",
through_reverse_relation_name="course_id")
# will produce Through model like follows (example simplified)
class StudentCourse(ormar.Model):
ormar_config = base_ormar_config.copy(tablename="student_courses")
id: int = ormar.Integer(primary_key=True)
student_id = ormar.ForeignKey(Student) # set by through_relation_name
course_id = ormar.ForeignKey(Course) # set by through_reverse_relation_name
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Note
Note that explicitly declaring relations in Through model is forbidden, so even if you
provide your own custom Through model you cannot change the names there and you need to use
same through_relation_name
and through_reverse_relation_name
parameters.
Through Fields
The through field is auto added to the reverse side of the relation.
The exposed field is named as lowercase Through
class name.
The exposed field explicitly has no relations loaded as the relation is already populated in ManyToMany
field,
so it's useful only when additional fields are provided on Through
model.
In a sample model setup as following:
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32 | import databases
import ormar
import sqlalchemy
DATABASE_URL = "sqlite:///test.db"
ormar_base_config = ormar.OrmarConfig(
database=databases.Database(DATABASE_URL), metadata=sqlalchemy.MetaData()
)
class Category(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="categories")
id = ormar.Integer(primary_key=True)
name = ormar.String(max_length=40)
class PostCategory(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="posts_x_categories")
id: int = ormar.Integer(primary_key=True)
sort_order: int = ormar.Integer(nullable=True)
param_name: str = ormar.String(default="Name", max_length=200)
class Post(ormar.Model):
ormar_config = ormar_base_config.copy()
id: int = ormar.Integer(primary_key=True)
title: str = ormar.String(max_length=200)
categories = ormar.ManyToMany(Category, through=PostCategory)
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the through field can be used as a normal model field in most of the QuerySet operations.
Note that through field is attached only to related side of the query so:
| post = await Post.objects.select_related("categories").get()
# source model has no through field
assert post.postcategory is None
# related models have through field
assert post.categories[0].postcategory is not None
# same is applicable for reversed query
category = await Category.objects.select_related("posts").get()
assert category.postcategory is None
assert category.posts[0].postcategory is not None
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Through field can be used for filtering the data.
| post = (
await Post.objects.select_related("categories")
.filter(postcategory__sort_order__gt=1)
.get()
)
|
Tip
Note that despite that the actual instance is not populated on source model,
in queries, order by statements etc you can access through model from both sides.
So below query has exactly the same effect (note access through categories
)
| post = (
await Post.objects.select_related("categories")
.filter(categories__postcategory__sort_order__gt=1)
.get()
)
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Through model can be used in order by queries.
| post = (
await Post.objects.select_related("categories")
.order_by("-postcategory__sort_order")
.get()
)
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You can also select subset of the columns in a normal QuerySet
way with fields
and exclude_fields
.
| post2 = (
await Post.objects.select_related("categories")
.exclude_fields("postcategory__param_name")
.get()
)
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Warning
Note that because through fields explicitly nullifies all relation fields, as relation
is populated in ManyToMany field, you should not use the standard model methods like
save()
and update()
before re-loading the field from database.
If you want to modify the through field in place remember to reload it from database.
Otherwise you will set relations to None so effectively make the field useless!
| # always reload the field before modification
await post2.categories[0].postcategory.load()
# only then update the field
await post2.categories[0].postcategory.update(sort_order=3)
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Note that reloading the model effectively reloads the relations as pk_only
models
(only primary key is set) so they are not fully populated, but it's enough to preserve
the relation on update.
Warning
If you use i.e. fastapi
the partially loaded related models on through field might cause
pydantic
validation errors (that's the primary reason why they are not populated by default).
So either you need to exclude the related fields in your response, or fully load the related
models. In example above it would mean:
| await post2.categories[0].postcategory.post.load()
await post2.categories[0].postcategory.category.load()
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Alternatively you can use
load_all()
:
| await post2.categories[0].postcategory.load_all()
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Preferred way of update is through queryset proxy update()
method
| # filter the desired related model with through field and update only through field params
await post2.categories.filter(name='Test category').update(postcategory={"sort_order": 3})
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Relation methods
add
add(item: Model, **kwargs)
Allows you to add model to ManyToMany relation.
| # Add a category to a post.
await post.categories.add(news)
# or from the other end:
await news.posts.add(post)
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Warning
In all not None
cases the primary key value for related model has to exist in database.
Otherwise an IntegrityError will be raised by your database driver library.
If you declare your models with a Through model with additional fields, you can populate them
during adding child model to relation.
In order to do so, pass keyword arguments with field names and values to add()
call.
Note that this works only for ManyToMany
relations.
| post = await Post(title="Test post").save()
category = await Category(name="Test category").save()
# apart from model pass arguments referencing through model fields
await post.categories.add(category, sort_order=1, param_name='test')
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remove
Removal of the related model one by one.
Removes also the relation in the database.
| await news.posts.remove(post)
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clear
Removal of all related models in one call.
Removes also the relation in the database.
QuerysetProxy
Reverse relation exposes QuerysetProxy API that allows you to query related model like you would issue a normal Query.
To read which methods of QuerySet are available read below querysetproxy