add default exceptions to relations, test one argument, test querysetproxy, test deeply nested
This commit is contained in:
@ -3,6 +3,9 @@ checks:
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method-complexity:
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config:
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threshold: 8
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argument-count:
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config:
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threshold: 6
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file-lines:
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config:
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threshold: 500
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10
README.md
10
README.md
@ -437,8 +437,8 @@ metadata.drop_all(engine)
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* `bulk_update(objects: List[Model], columns: List[str] = None) -> None`
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* `delete(each: bool = False, **kwargs) -> int`
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* `all(**kwargs) -> List[Optional[Model]]`
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* `filter(**kwargs) -> QuerySet`
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* `exclude(**kwargs) -> QuerySet`
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* `filter(*args, **kwargs) -> QuerySet`
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* `exclude(*args, **kwargs) -> QuerySet`
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* `select_related(related: Union[List, str]) -> QuerySet`
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* `prefetch_related(related: Union[List, str]) -> QuerySet`
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* `limit(limit_count: int) -> QuerySet`
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@ -453,7 +453,7 @@ metadata.drop_all(engine)
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#### Relation types
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* One to many - with `ForeignKey(to: Model)`
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* Many to many - with `ManyToMany(to: Model, through: Model)`
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* Many to many - with `ManyToMany(to: Model, Optional[through]: Model)`
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#### Model fields types
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@ -491,8 +491,8 @@ The following keyword arguments are supported on all field types.
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All fields are required unless one of the following is set:
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* `nullable` - Creates a nullable column. Sets the default to `None`.
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* `default` - Set a default value for the field.
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* `server_default` - Set a default value for the field on server side (like sqlalchemy's `func.now()`).
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* `default` - Set a default value for the field. **Not available for relation fields**
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* `server_default` - Set a default value for the field on server side (like sqlalchemy's `func.now()`). **Not available for relation fields**
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* `primary key` with `autoincrement` - When a column is set to primary key and autoincrement is set on this column.
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Autoincrement is set by default on int primary keys.
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* `pydantic_only` - Field is available only as normal pydantic field, not stored in the database.
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@ -437,8 +437,8 @@ metadata.drop_all(engine)
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* `bulk_update(objects: List[Model], columns: List[str] = None) -> None`
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* `delete(each: bool = False, **kwargs) -> int`
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* `all(**kwargs) -> List[Optional[Model]]`
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* `filter(**kwargs) -> QuerySet`
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* `exclude(**kwargs) -> QuerySet`
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* `filter(*args, **kwargs) -> QuerySet`
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* `exclude(*args, **kwargs) -> QuerySet`
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* `select_related(related: Union[List, str]) -> QuerySet`
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* `prefetch_related(related: Union[List, str]) -> QuerySet`
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* `limit(limit_count: int) -> QuerySet`
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@ -453,7 +453,7 @@ metadata.drop_all(engine)
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#### Relation types
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* One to many - with `ForeignKey(to: Model)`
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* Many to many - with `ManyToMany(to: Model, through: Model)`
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* Many to many - with `ManyToMany(to: Model, Optional[through]: Model)`
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#### Model fields types
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@ -491,8 +491,8 @@ The following keyword arguments are supported on all field types.
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All fields are required unless one of the following is set:
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* `nullable` - Creates a nullable column. Sets the default to `None`.
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* `default` - Set a default value for the field.
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* `server_default` - Set a default value for the field on server side (like sqlalchemy's `func.now()`).
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* `default` - Set a default value for the field. **Not available for relation fields**
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* `server_default` - Set a default value for the field on server side (like sqlalchemy's `func.now()`). **Not available for relation fields**
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* `primary key` with `autoincrement` - When a column is set to primary key and autoincrement is set on this column.
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Autoincrement is set by default on int primary keys.
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* `pydantic_only` - Field is available only as normal pydantic field, not stored in the database.
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@ -288,6 +288,37 @@ books = (
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)
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```
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If you want or need to you can nest deeper conditions as deep as you want, in example to
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acheive a query like this:
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sql:
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```
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WHERE ( ( ( books.year > 1960 OR books.year < 1940 )
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AND authors.name = 'J.R.R. Tolkien' ) OR
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( books.year < 2000 AND authors.name = 'Andrzej Sapkowski' ) )
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```
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You can construct a query as follows:
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```python
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books = (
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await Book.objects.select_related("author")
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.filter(
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ormar.or_(
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ormar.and_(
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ormar.or_(year__gt=1960, year__lt=1940),
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author__name="J.R.R. Tolkien",
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),
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ormar.and_(year__lt=2000, author__name="Andrzej Sapkowski"),
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)
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)
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.all()
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)
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assert len(books) == 3
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assert books[0].title == "The Hobbit"
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assert books[1].title == "The Silmarillion"
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assert books[2].title == "The Witcher"
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```
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By now you should already have an idea how `ormar.or_` and `ormar.and_` works.
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Of course, you could chain them in any other methods of queryset, so in example a perfectly
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valid query can look like follows:
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@ -310,9 +341,48 @@ assert books[0].title == "The Witcher"
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!!!note
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Note that you cannot provide the same keyword argument several times so queries like `filter(ormar.or_(name='Jack', name='John'))` are not allowed. If you want to check the same
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column for several values simply use `in` operator: `filter(name__in=['Jack','John'])`.
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Note that also that technically you can still do `filter(ormar.or_(name='Jack', name__exact='John'))`
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but it's not recommended. The different operators can be used as long as they do not
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repeat so `filter(ormar.or_(year__lt=1560, year__gt=2000))` is fine.
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If you pass only one parameter to `or_` or `and_` functions it's simply wrapped in parenthesis and
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has no effect on actual query, so in the end all 3 queries are identical:
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```python
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await Book.objects.filter(title='The Hobbit').get()
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await Book.objects.filter(ormar.or_(title='The Hobbit')).get()
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await Book.objects.filter(ormar.and_(title='The Hobbit')).get()
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```
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!!!note
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Note that `or_` and `and_` queries will have `WHERE (title='The Hobbit')` but the parenthesis is redundant and has no real effect.
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This feature can be used if you **really** need to use the same field name twice.
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Remember that you cannot pass the same keyword arguments twice to the function, so
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how you can query in example `WHERE (authors.name LIKE '%tolkien%') OR (authors.name LIKE '%sapkowski%'))`?
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You cannot do:
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```python
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books = (
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await Book.objects.select_related("author")
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.filter(ormar.or_(
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author__name__icontains="tolkien",
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author__name__icontains="sapkowski" # you cannot use same keyword twice in or_!
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)) # python syntax error
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.all()
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)
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```
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But you can do this:
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```python
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books = (
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await Book.objects.select_related("author")
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.filter(ormar.or_(
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ormar.and_(author__name__icontains="tolkien"), # one argument == just wrapped in ()
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ormar.and_(author__name__icontains="sapkowski")
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))
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.all()
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)
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assert len(books) == 5
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```
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## get
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@ -172,7 +172,7 @@ await post.categories.filter(name="Test category3").update(
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### filter
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`filter(**kwargs) -> QuerySet`
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`filter(*args, **kwargs) -> QuerySet`
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Allows you to filter by any Model attribute/field as well as to fetch instances, with a filter across an FK relationship.
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@ -181,7 +181,7 @@ Allows you to filter by any Model attribute/field as well as to fetch instances,
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### exclude
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`exclude(**kwargs) -> QuerySet`
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`exclude(*args, **kwargs) -> QuerySet`
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Works exactly the same as filter and all modifiers (suffixes) are the same, but returns a not condition.
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@ -23,6 +23,9 @@
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```
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Check the updated docs in Queries -> Filtering and sorting -> Complex filters
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## Other
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* Setting default on `ForeignKey` or `ManyToMany` raises and `ModelDefinition` exception as it is (and was) not supported
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# 0.9.6
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##Important
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@ -11,7 +11,7 @@ from pydantic.typing import ForwardRef, evaluate_forwardref
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from sqlalchemy import UniqueConstraint
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import ormar # noqa I101
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from ormar.exceptions import RelationshipInstanceError
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from ormar.exceptions import ModelDefinitionError, RelationshipInstanceError
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from ormar.fields.base import BaseField
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if TYPE_CHECKING: # pragma no cover
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@ -184,6 +184,11 @@ def ForeignKey( # noqa CFQ002
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owner = kwargs.pop("owner", None)
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self_reference = kwargs.pop("self_reference", False)
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default = kwargs.pop("default", None)
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if default is not None:
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raise ModelDefinitionError(
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"Argument 'default' is not supported " "on relation fields!"
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)
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if to.__class__ == ForwardRef:
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__type__ = to if not nullable else Optional[to]
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@ -96,6 +96,12 @@ def ManyToMany(
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if through is not None and through.__class__ != ForwardRef:
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forbid_through_relations(cast(Type["Model"], through))
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default = kwargs.pop("default", None)
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if default is not None:
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raise ModelDefinitionError(
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"Argument 'default' is not supported " "on relation fields!"
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)
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if to.__class__ == ForwardRef:
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__type__ = to if not nullable else Optional[to]
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column_type = None
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@ -374,7 +374,7 @@ class QuerysetProxy:
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model = await self.queryset.get(pk=kwargs[pk_name])
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return await model.update(**kwargs)
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def filter(self, **kwargs: Any) -> "QuerysetProxy": # noqa: A003, A001
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def filter(self, *args: Any, **kwargs: Any) -> "QuerysetProxy": # noqa: A003, A001
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"""
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Allows you to filter by any `Model` attribute/field
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as well as to fetch instances, with a filter across an FK relationship.
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@ -404,10 +404,10 @@ class QuerysetProxy:
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:return: filtered QuerysetProxy
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:rtype: QuerysetProxy
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"""
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queryset = self.queryset.filter(**kwargs)
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queryset = self.queryset.filter(*args, **kwargs)
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return self.__class__(relation=self.relation, type_=self.type_, qryset=queryset)
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def exclude(self, **kwargs: Any) -> "QuerysetProxy": # noqa: A003, A001
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def exclude(self, *args: Any, **kwargs: Any) -> "QuerysetProxy": # noqa: A003, A001
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"""
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Works exactly the same as filter and all modifiers (suffixes) are the same,
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but returns a *not* condition.
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@ -428,7 +428,7 @@ class QuerysetProxy:
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:return: filtered QuerysetProxy
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:rtype: QuerysetProxy
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"""
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queryset = self.queryset.exclude(**kwargs)
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queryset = self.queryset.exclude(*args, **kwargs)
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return self.__class__(relation=self.relation, type_=self.type_, qryset=queryset)
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def select_related(self, related: Union[List, str]) -> "QuerysetProxy":
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@ -110,6 +110,24 @@ async def test_or_filters():
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assert books[0].title == "The Silmarillion"
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assert books[1].title == "The Witcher"
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books = (
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await Book.objects.select_related("author")
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.filter(
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ormar.or_(
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ormar.and_(
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ormar.or_(year__gt=1960, year__lt=1940),
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author__name="J.R.R. Tolkien",
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),
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ormar.and_(year__lt=2000, author__name="Andrzej Sapkowski"),
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)
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)
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.all()
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)
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assert len(books) == 3
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assert books[0].title == "The Hobbit"
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assert books[1].title == "The Silmarillion"
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assert books[2].title == "The Witcher"
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books = (
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await Book.objects.select_related("author")
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.exclude(
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@ -187,6 +205,38 @@ async def test_or_filters():
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with pytest.raises(QueryDefinitionError):
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await Book.objects.select_related("author").filter("wrong").all()
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books = await tolkien.books.filter(
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ormar.or_(year__lt=1940, year__gt=1960)
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).all()
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assert len(books) == 2
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books = await tolkien.books.filter(
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ormar.and_(
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ormar.or_(year__lt=1940, year__gt=1960), title__icontains="hobbit"
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)
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).all()
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assert len(books) == 1
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assert tolkien.books[0].title == "The Hobbit"
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books = (
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await Book.objects.select_related("author")
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.filter(ormar.or_(author__name="J.R.R. Tolkien"))
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.all()
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)
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assert len(books) == 3
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books = (
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await Book.objects.select_related("author")
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.filter(
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ormar.or_(
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ormar.and_(author__name__icontains="tolkien"),
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ormar.and_(author__name__icontains="sapkowski"),
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)
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)
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.all()
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)
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assert len(books) == 5
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# TODO: Check / modify
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# process and and or into filter groups (V)
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@ -196,5 +246,4 @@ async def test_or_filters():
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# finish docstrings (V)
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# fix types for FilterAction and FilterGroup (X)
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# add docs (V)
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# fix querysetproxy
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# fix querysetproxy (V)
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65
tests/test_relations_default_exception.py
Normal file
65
tests/test_relations_default_exception.py
Normal file
@ -0,0 +1,65 @@
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# type: ignore
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from typing import List, Optional
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import databases
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import pytest
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import sqlalchemy
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import ormar
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from ormar.exceptions import ModelDefinitionError
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from tests.settings import DATABASE_URL
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database = databases.Database(DATABASE_URL, force_rollback=True)
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metadata = sqlalchemy.MetaData()
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class Author(ormar.Model):
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class Meta:
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tablename = "authors"
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database = database
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metadata = metadata
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id: int = ormar.Integer(primary_key=True)
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first_name: str = ormar.String(max_length=80)
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last_name: str = ormar.String(max_length=80)
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class Category(ormar.Model):
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class Meta:
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tablename = "categories"
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database = database
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metadata = metadata
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id: int = ormar.Integer(primary_key=True)
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name: str = ormar.String(max_length=40)
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def test_fk_error():
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with pytest.raises(ModelDefinitionError):
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class Post(ormar.Model):
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class Meta:
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tablename = "posts"
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database = database
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metadata = metadata
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id: int = ormar.Integer(primary_key=True)
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title: str = ormar.String(max_length=200)
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categories: Optional[List[Category]] = ormar.ManyToMany(Category)
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author: Optional[Author] = ormar.ForeignKey(Author, default="aa")
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def test_m2m_error():
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with pytest.raises(ModelDefinitionError):
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class Post(ormar.Model):
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class Meta:
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tablename = "posts"
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database = database
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metadata = metadata
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id: int = ormar.Integer(primary_key=True)
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title: str = ormar.String(max_length=200)
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categories: Optional[List[Category]] = ormar.ManyToMany(
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Category, default="aa"
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)
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