v3.0.0b9 — Python 3.13 support

• Add support for all Python 3.13 new features.
• Add Why not Pydantic? article.
• All iterables now are dumped to tuple (or list for list children).

See the full list of changes at changelog.

v3.0.0b8 — Generation optimization

• New providers for working with time: datetime_by_timestamp, date_by_timestamp and datetime_by_format.
• Add exec_type_checking function to deal with cyclic references by executing if TYPE_CHECKING: constructs.
• Add support for bytes inside literal, for example Literal[b"abc"].
• The library shows a hint if one class is a model and the other is not.
• Traceback of CannotProvide is hidden (it is raised when loader, dumper, or converter can not be created). It simplifies error messages to users. You can show traceback by disabling hide_traceback parameter of Retort.
• Drop support of Python 3.8.
• Refactor internal provider routing system. It becomes more simple and readable. Also, internal caching is added. This led to a 40% speedup in loader generation for medium models and up to 4x speedup for large models with many recursive types.

See the full list of changes at changelog.

v3.0.0b7 — Important fixes

• Allow redefining coercer inside Optional using an inner type if source and destination types are same.
• Fix ForwardRef evaluation inside __bound__ of TypeVar for Python 3.12.4.
• NoSuitableProvider exception was renamed to ProviderNotFoundError (old name is available as alias).

See the full list of changes at changelog.

v3.0.0b6 — Linking several fields

• Now, you can merge several fields or access the model directly via conversion.link_function.
  See Link function for details.

• Add a special column type for serializing and deserializing JSON inside SQLAlchemy.
  See SQLAlchemy JSON for details.

• Add Extended Usage article for model conversion and other documentation updates.

See the full list of changes at changelog.

v3.0.0b5 — Pydantic support

• Add support for Pydantic models!

  Now you can work with pydantic models like any other: construct from dict, serialize to dict, convert to any other model, and convert it to any other model.

  Also, you can use integrations.pydantic.native_pydantic to delegate loading and dumping to pydantic itself.

• Add support for dumping Literal inside Union. #237

• Add support for BytesIO and IO[bytes]. #270

See the full list of changes at changelog.

v3.0.0b4 — model conversion inside compound types

• Models can be automatically converted inside compound types like Optional, list, dict etc.
• An error of loader, dumper, and converter generation contains a much more readable location
• Add coercer for builtin iterables and dict.

See the full list of changes at changelog.

v3.0.0b3 — enhancing model conversion

• Coercer can be added directly inside the link.
• Added ability to link constant values and factories.
• Better errors that the coercer was not found.
• More automatic do-nothing coercion detection

See the full list of changes at changelog.

v3.0.0b2 — model conversion and sqlalchemy support

• New major feature is out!
  Added support for model conversion! Now, you can generate boilerplate converter function by adaptix.
  See conversion tutorial for details.
• Basic support for sqlalchemy models are added!
• Added enum support inside Literal.
• Added flags support.
• Added defaultdict support.

See full list of changes at changelog.

v3.0.0b1

update repo url

2.13

• Added NamedTuple support
• Many standard types now can be parsed out of the box
• Fix aliases to generic types
• Fix parsing dataclasses which also implement collection protocol