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
-
ormar
Model configurationInstead of defining a
Meta
class now each of the ormar models require an ormar_config parameter that is an instance of theOrmarConfig
class.
Note that the attribute must be namedormar_config
and 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)
-
OrmarConfig
api/ parametersThe
ormar_config
expose the same set of settings asMeta
class 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]]
-
BaseMeta
equivalent - 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 convenientcopy
method for that purpose.The
copy
method accepts the same parameters asOrmarConfig
init, so you can overwrite if needed, but by default it will return already existing attributes, except for:tablename
,order_by
andconstraints
which 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)
-
choices
Field parameter is no longer supported.Before version 0.20 you could provide
choices
parameter to any existing ormar Field to limit the accepted values.
This functionality was dropped, and you should useormar.Enum
field 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)
-
pydantic_only
Field parameter is no longer supportedpydantic_only
fields 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
-
property_field
decorator is no longer supportedproperty_field
decorator 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}"
-
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
,exclude
etc.-
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
,exclude
etc. -
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
pydantic
documentation.
Special thanks for help to: @mekanix and @TouwaStar