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Releases: ormar-orm/ormar

Fix critical vulnerability, drop Python 3.9, bugfixes

22 Feb 13:51
a03bae1

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0.23.0

‼️🚨 Critical vulnerability fixed – please upgrade ASAP

  • In this version of ormar the critical vulnerability (CVE-2026-26198) in aggregate functions was patched - thanks @AAtomical
    for reporting. The vulnerability was caused by the way ormar generated SQL queries for aggregate functions, allowing arbitrary SQL execution through user input.
  • Affected versions:
    • 0.9.9 - 0.12.2
    • 0.20.0b1 - 0.22.0 (latest)

✨ Breaking changes

  • Drop support for Python 3.9

🐛 Fixes

  • Fix selecting data with nested models with json fields #1530
  • Fix prefetching JSON list field throwing TypeError - thanks @jannyware-inc #1402

Drop databases package and use sqlalchemy async instead

08 Feb 08:53
7e92b72

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0.22.0

🐛 Breaking changes

  • Migration from databases library to native async SQLAlchemy

    Version 0.22.0 migrates from the databases library to native async SQLAlchemy using ormar's DatabaseConnection wrapper. This provides better integration with SQLAlchemy's async ecosystem and improved transaction handling and avoid dependency on archived databases library.

  • Import changes

    Replace databases import with DatabaseConnection from ormar:

    # ormar < 0.22
    import databases
    database = databases.Database("sqlite:///db.sqlite")
    
    # ormar >= 0.22
    from ormar import DatabaseConnection
    database = DatabaseConnection("sqlite+aiosqlite:///db.sqlite")
  • Database URLs require async drivers

    Database connection strings must now use async-compatible drivers:

    • SQLite: sqlite+aiosqlite:// (not sqlite://)
    • PostgreSQL: postgresql+asyncpg:// (not postgresql://)
    • MySQL: mysql+aiomysql:// (not mysql://)
    # ormar < 0.22
    database = databases.Database("sqlite:///db.sqlite")
    
    # ormar >= 0.22
    database = DatabaseConnection("sqlite+aiosqlite:///db.sqlite")
  • Engine parameter removed from OrmarConfig

    The engine parameter is no longer needed in OrmarConfig - it's created internally by DatabaseConnection:

    # ormar < 0.22
    import databases
    import sqlalchemy
    
    database = databases.Database("sqlite:///db.sqlite")
    engine = sqlalchemy.create_engine("sqlite:///db.sqlite")
    
    base_ormar_config = ormar.OrmarConfig(
        database=database,
        metadata=sqlalchemy.MetaData(),
        engine=engine,  # <- No longer needed
    )
    
    # ormar >= 0.22
    from ormar import DatabaseConnection
    import sqlalchemy
    
    database = DatabaseConnection("sqlite+aiosqlite:///db.sqlite")
    
    base_ormar_config = ormar.OrmarConfig(
        database=database,
        metadata=sqlalchemy.MetaData(),
        # engine is created internally
    )
  • Table creation requires sync engine

    When using metadata.create_all(), you must create a separate sync engine:

    # ormar >= 0.22
    import sqlalchemy
    from ormar import DatabaseConnection
    
    DATABASE_URL = "sqlite+aiosqlite:///db.sqlite"
    database = DatabaseConnection(DATABASE_URL)
    metadata = sqlalchemy.MetaData()
    
    # Create a sync engine for table creation
    sync_engine = sqlalchemy.create_engine(
        DATABASE_URL.replace('+aiosqlite', '')
    )
    metadata.create_all(sync_engine)

✨ Features

  • Improved transaction handling

    Transactions now use context variables and SQLAlchemy savepoints for better nested transaction support:

    # Nested transactions with automatic savepoints
    async with database.transaction():
        await Model1.objects.create(...)
    
        async with database.transaction():  # Uses savepoint
            await Model2.objects.create(...)
  • Enhanced testing support

    The force_rollback parameter for transactions makes testing easier.
    Like in databases force_rollback can also be used with DatabaseConnection directly to use one global transaction.

    async with database.transaction(force_rollback=True):
        # Your test code - will rollback even on success
        await Model.objects.create(...)

💬 Other

Add support for sqlalchemy 2.0 and pydantic 2.11

09 Jan 13:34
c09209a

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0.21.0

🐛 Breaking changes

  • Drop support for Python 3.8
  • Remove the possibility to exclude parents' fields in children models (discouraged as bad practice anyway)
  • Add support for Sqlalchemy 2.0 and drop for 1.4

💬 Other

  • Bump dependencies to newer versions: among others pydantic, databases and fastapi
  • Move setuptools to dev dependencies
  • Solve vulnerabilities in dependencies

Bug fixes and bump pydantic & python supported versions

06 Dec 10:47
409ae5a

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0.20.2

🐛 Fixes

💬 Other

Fixes for prefetch related and saving related

09 Jun 16:24
45d81b2

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0.20.1

✨ Breaking changes

🐛 Fixes

  • Fix merging same target models when using select_related with prefetch_related #906
  • Fix saving related with pk only models #812
  • Fix adding the same relation multiple times corrupting relation cache #1335

✨ Features

  • Allow adding indexed on foreign keys by @cmflynn, thanks! #1276

💬 Other

BETA - Support for pydantic v2

16 Mar 19:49

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Pre-release

BETA

0.20.0

You can find updated documentation at: https://collerek.github.io/ormar/0.20.0b1/

✨ Breaking changes

  • ormar Model configuration

    Instead of defining a Meta class now each of the ormar models require an ormar_config parameter that is an instance of the OrmarConfig class.
    Note that the attribute must be named ormar_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/ parameters

    The ormar_config expose the same set of settings as Meta 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 practice

    Note 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 convenient copy method for that purpose.

    The copy method accepts the same parameters as OrmarConfig init, so you can overwrite if needed, but by default it will return already existing attributes, except for: tablename, order_by and constraints 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 use ormar.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 supported

    pydantic_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 supported

    property_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 the model_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 the model_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 the model_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 = {
        "n...
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Bump fastapi and python

18 Jun 17:05
c793d66

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0.12.2

✨ Features

  • Bump support for FastAPI up to the newest version (0.97.0) #1110
  • Add support and tests for Python 3.11 #1110

Performance improvements

29 Jan 12:21
fd77f02

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0.12.1

✨ Features

  • Massive performance improvements in the area of loading the models due to recursive loads and caching of the models and related models. (by @erichaydel - thanks!) #853

💬 Internals

  • Benchmarks for comparing the performance effect of implemented changes in regard of trends (again, by @erichaydel - thanks!) #853

Force save in upset and bug fixes

21 Oct 17:55
dda5e24

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0.12.0

✨ Breaking Changes

  • Queryset.bulk_create will now raise ModelListEmptyError on empty list of models (by @ponytailer - thanks!) #853

✨ Features

  • Model.upsert() now handles a flag __force_save__: bool that allow upserting the models regardless of the fact if they have primary key set or not.
    Note that setting this flag will cause two queries for each upserted model -> get to check if model exists and later update/insert accordingly. #889

🐛 Fixes

  • Fix for empty relations breaking construct method (by @Abdeldjalil-H - thanks!) #870
  • Fix save related not saving models with already set pks (including uuid) #885
  • Fix for wrong relations exclusions depending on the order of exclusions #779
  • Fix property_fields not being inherited properly #774

CheckColumn constraint, ReferentialAction and bug fixes

07 Sep 10:56
3cd33e6

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0.11.3

✨ Features

  • Document onupdate and ondelete referential actions in ForeignKey and provide ReferentialAction enum to specify the behavior of the relationship (by @SepehrBazyar - thanks!) #724
  • Add CheckColumn to supported constraints in models Meta (by @SepehrBazyar - thanks!) #729

🐛 Fixes

  • Fix limiting query result to 0 should return empty list (by @SepehrBazyar - thanks!) #766

💬 Other