BETA - Support for pydantic v2
Pre-releaseBETA
0.20.0
You can find updated documentation at: https://collerek.github.io/ormar/0.20.0b1/
✨ Breaking changes
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ormarModel configurationInstead of defining a
Metaclass now each of the ormar models require an ormar_config parameter that is an instance of theOrmarConfigclass.
Note that the attribute must be namedormar_configand be an instance of the config class.import databases import ormar import sqlalchemy database = databases.Database("sqlite:///db.sqlite") metadata = sqlalchemy.MetaData() # ormar < 0.20 class Album(ormar.Model): class Meta: database = database metadata = metadata tablename = "albums" id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) favorite: bool = ormar.Boolean(default=False) # ormar >= 0.20 class AlbumV20(ormar.Model): ormar_config = ormar.OrmarConfig( database=database, metadata=metadata, tablename="albums_v20" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) favorite: bool = ormar.Boolean(default=False)
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OrmarConfigapi/ parametersThe
ormar_configexpose the same set of settings asMetaclass used to provide.
That means that you can use any of the following parameters initializing the config:metadata: Optional[sqlalchemy.MetaData] database: Optional[databases.Database] engine: Optional[sqlalchemy.engine.Engine] tablename: Optional[str] order_by: Optional[List[str]] abstract: bool exclude_parent_fields: Optional[List[str]] queryset_class: Type[QuerySet] extra: Extra constraints: Optional[List[ColumnCollectionConstraint]]
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BaseMetaequivalent - best practiceNote that to reduce the duplication of code and ease of development it's still recommended to create a base config and provide each of the models with a copy.
OrmarConfig provides a convenientcopymethod for that purpose.The
copymethod accepts the same parameters asOrmarConfiginit, so you can overwrite if needed, but by default it will return already existing attributes, except for:tablename,order_byandconstraintswhich by default are cleared.import databases import ormar import sqlalchemy base_ormar_config = ormar.OrmarConfig( database=databases.Database("sqlite:///db.sqlite"), metadata=sqlalchemy.MetaData() ) class AlbumV20(ormar.Model): ormar_config = base_ormar_config.copy( tablename="albums_v20" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) class TrackV20(ormar.Model): ormar_config = base_ormar_config.copy( tablename="tracks_v20" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100)
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choicesField parameter is no longer supported.Before version 0.20 you could provide
choicesparameter to any existing ormar Field to limit the accepted values.
This functionality was dropped, and you should useormar.Enumfield that was designed for this purpose.
If you want to keep the database field type (i.e. an Integer field) you can always write a custom validator.import databases import ormar import sqlalchemy database = databases.Database("sqlite:///db.sqlite") metadata = sqlalchemy.MetaData() # ormar < 0.20 class Artist(ormar.Model): class Meta: database = database metadata = metadata id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) country: str = ormar.String(default=False, max_length=50, choices=["UK", "US", "Vietnam", "Colombia"]) # ormar >= 0.20 from enum import Enum class Country(str, Enum): UK = "UK" US = "US" VIETNAM = "Vietnam" COLOMBIA = "Colombia" class ArtistV20(ormar.Model): ormar_config = ormar.OrmarConfig( database=database, metadata=metadata, tablename="artists_v20" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) country: Country = ormar.Enum(enum_class=Country)
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pydantic_onlyField parameter is no longer supportedpydantic_onlyfields were already deprecated and are removed in v 0.20. Ormar allows defining pydantic fields as in ordinary pydantic model.import databases import ormar import sqlalchemy database = databases.Database("sqlite:///db.sqlite") metadata = sqlalchemy.MetaData() # ormar < 0.20 class Dish(ormar.Model): class Meta: database = database metadata = metadata tablename = "dishes" id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) cook: str = ormar.String(max_length=40, pydantic_only=True, default="sam") # ormar >= 0.20 class DishV20(ormar.Model): ormar_config = ormar.OrmarConfig( database=database, metadata=metadata, tablename="dishes_v20" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) cook: str = "sam" # this is normal pydantic field
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property_fielddecorator is no longer supportedproperty_fielddecorator was used to provide a way to pass calculated fields that were included in dictionary/ serialized json representation of the model.
Version 2.X of pydantic introduced such a possibility, so you should now switch to the one native to the pydantic.import databases import ormar import sqlalchemy import pydantic database = databases.Database("sqlite:///db.sqlite") metadata = sqlalchemy.MetaData() # ormar < 0.20 class Employee(ormar.Model): class Meta: database = database metadata = metadata id: int = ormar.Integer(primary_key=True) first_name: str = ormar.String(max_length=100) last_name: str = ormar.String(max_length=100) @ormar.property_field() def full_name(self) -> str: return f"{self.first_name} {self.last_name}" # ormar >= 0.20 class EmployeeV20(ormar.Model): ormar_config = ormar.OrmarConfig( database=database, metadata=metadata, ) id: int = ormar.Integer(primary_key=True) first_name: str = ormar.String(max_length=100) last_name: str = ormar.String(max_length=100) @pydantic.computed_field() def full_name(self) -> str: return f"{self.first_name} {self.last_name}"
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Deprecated methods
All methods listed below are deprecated and will be removed in version 0.30 of
ormar.dict()becomes themodel_dump()
import databases import ormar import sqlalchemy database = databases.Database("sqlite:///db.sqlite") metadata = sqlalchemy.MetaData() class Album(ormar.Model): ormar_config = ormar.OrmarConfig( database=database, metadata=metadata, tablename="albums" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) favorite: bool = ormar.Boolean(default=False) album = Album(name="Dark Side of the Moon") # ormar < 0.20 album_dict = album.dict() # ormar >= 0.20 new_album_dict = album.model_dump()
Note that parameters remain the same i.e.
include,excludeetc.-
json()becomes themodel_dump_json()import databases import ormar import sqlalchemy database = databases.Database("sqlite:///db.sqlite") metadata = sqlalchemy.MetaData() class Album(ormar.Model): ormar_config = ormar.OrmarConfig( database=database, metadata=metadata, tablename="albums" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) favorite: bool = ormar.Boolean(default=False) album = Album(name="Dark Side of the Moon") # ormar < 0.20 album_json= album.json() # ormar >= 0.20 new_album_dict = album.model_dump_json()
Note that parameters remain the same i.e.
include,excludeetc. -
construct()becomes themodel_construct()
import databases import ormar import sqlalchemy database = databases.Database("sqlite:///db.sqlite") metadata = sqlalchemy.MetaData() class Album(ormar.Model): ormar_config = ormar.OrmarConfig( database=database, metadata=metadata, tablename="albums" ) id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) favorite: bool = ormar.Boolean(default=False) params = { "name": "Dark Side of the Moon", "favorite": True, } # ormar < 0.20 album = Album.construct(**params) # ormar >= 0.20 album = Album.model_construct(**params)
To read more about construct please refer to
pydanticdocumentation.
Special thanks for help to: @mekanix and @TouwaStar