Features and Improvements
- V1 Opt-In:
- Add support for Patterned Date and Time:
- Naive Date/Time/Datetime
- Timezone-aware Time/Datetime
- UTC Time/Datetime
- Update :func:`Alias` and :func:`AliasPath` to support multiple aliases and nested path(s)
- Update the
KeyCase.AUTO
setting (specified viav1_key_case='AUTO'
) to correctly handle multiple possible keys for the field (e.g., it doesn't latch onto the first encountered key but now tries all valid key case transformations at runtime). This now results in expected or desired behavior (fixes :issue:`175`) - Float to Int Conversion Change: In V1 Opt-in (via
Meta
settingv1=True
), floats or float strings with fractional parts (e.g.,123.4
or"123.4"
) are no longer silently converted to integers. Instead, they now raise an error. However, floats without fractional parts (e.g.,3.0
or"3.0"
) will continue to convert to integers as before. - Add documentation:
- Patterned Date and Time
- Aliases
- Add tests for coverage
- Optimize logic for determining if an annotated type is a
TypedDict
- Update
requirements-bench.txt
to correctly capture all Benchmark-related dependencies
Bugfixes
- Ensure the
py.typed
marker is included in the source distribution (fixes :issue:`173`) - Address a minor bug in object path parsing that did not correctly interpret quoted literal values
within blocks such as braces
[]
Features and Improvements
- V1 Opt-in
- Support for recursive types OOTB for the following Python types:
NamedTuple
TypedDict
Union
Literal
- Nested dataclasses
- Type aliases (introduced in Python 3.12+)
- Full support for
bytes
andbytearray
in the de/serialization process (fixes :issue:`140`). - Performance improvements: Optimized Load functions for
bool
,NamedTuple
,datetime
,date
, andtime
. - Added support for Type aliases (via
type
statement in Python 3.12+). - Improved logic in
load_to_str
to better check if it's within anOptional[...]
type. - Enhanced handling of sub-types in de/serialization (TODO: add test cases).
- Show deprecation warning for Meta setting
debug_enabled
(replaced byv1_debug
).
- Updated benchmarks for improved accuracy.
Bugfixes
- Fixed issue where code generation failed to correctly account for indexes, especially when nested collection types like
dict
were used within aNamedTuple
. make check
now works out-of-the-box for validatingREADME.rst
and other RST files for PyPI deployment.- :pr:`169`: Explicitly added
utf-8
encoding forsetup.py
to enable installation from source on Windows (shoutout to :user:`birkholz-cubert`!).
- Introduce
v1
opt-in, providing a more user-friendly experience with significant performance improvements for de-serialization 🎉 - Add models for
v1
, imported fromdataclass_wizard.v1
:
- Add models for
- Add enums for
v1
, imported fromdataclass_wizard.v1.enums
:
- Add enums for
- Add
Meta
settings forv1
: v1
— Enable opt-in for the "experimental" major release v1 feature.v1_debug
— Replaces the deprecateddebug_enabled
Meta setting, which will be removed inv1
.v1_key_case
— Specifies the letter case used for matching JSON keys when mapping them to dataclass fields.v1_field_to_alias
— Custom mapping of dataclass fields to their JSON aliases (keys) for de/serialization.v1_on_unknown_key
— Defines the action to take when an unknown JSON key is encountered during :meth:`from_dict` or :meth:`from_json` calls.v1_unsafe_parse_dataclass_in_union
— Unsafe option: Enables parsing of dataclasses in unions without requiring the presence of a :attr:`tag_key`.
- Add
- Require the
typing-extensions
library up to Python 3.11 (its main use in Python 3.11 isReadOnly
forTypedDict
). - Phase out the
UnknownJSONKey
exception class in favor ofUnknownKeysError
, sincev1
now provides all missing keys in JSON (not just the first one!). - Update benchmarks:
- Add benchmark for
CatchAll
. - Move benchmark dependencies to
requirements-bench.txt
.
- Add benchmark for
- Add new test cases.
Bugfixes
Corrected logic in :class:`MappingParser` that assumed all parsers were subclasses of :class:`AbstractParser` (:issue:`159`).
- Add test case to confirm intended functionality.
- Bump dev dependencies to latest version.
Features and Improvements
- Add support for ABC Containers in
typing
andcollections.abc
: Collection
Sequence
MutableSequence
- Add support for ABC Containers in
Bugfixes
- Fixed a bug in :class:`ParseError` handling.
- Resolved an issue in :class:`EnvWizard` where passing an instance of a dataclass field type to the constructor caused problems.
- Corrected logic in :mod:`parsers.py` that assumed all parsers were subclasses of :class:`AbstractParser`; parsers can now be functions as well.
Happy Thanksgiving 🦃, y'all! In this release, Dataclass Wizard introduces the long-awaited :class:`EnvWizard` 😳🎉.
Features and Improvements
- :class:`EnvWizard`:
- Support for working with environment variables, secret files, and .env files.
- New Functions and Helpers:
- :func:`EnvMeta`: Helper function to set up the
Meta
Config for :class:`EnvWizard`. - :func:`env_field`: Alias for
dataclasses.Field()
to set a custom environment variable for a field. - Helper Functions:
- :func:`as_bool`, :func:`as_int`, :func:`as_str` optimized.
- :func:`as_list`, :func:`as_dict` added.
- :func:`EnvMeta`: Helper function to set up the
- Meta Class Enhancements:
- New meta classes such as :class:`AbstractEnvMeta`.
- New fields added to the
Meta
class:
- New fields added to the
- Benchmark Updates:
- Updated benchmarks to include new libraries.
- Added the
--all | -A
option to benchmark tests for running longer tests against some libraries.
- Documentation:
- General documentation updates.
Bugfixes
- Resolved inconsistent behavior with dataclasses in
Union
whenMeta
:attr:`tag_key` is also defined as a dataclass field (:issue:`148`).
Features and Improvements
- Conditional Field Skipping: Omit fields during JSON serialization based on user-defined conditions.
- Introduced new :class:`Meta` settings:
- :attr:`skip_if` — Skips all fields matching a condition.
- :attr:`skip_defaults_if` — Skips fields with default values matching a condition.
- Added per-field controls using :func:`SkipIf()` annotations.
- Introduced the :func:`skip_if_field` wrapper for maximum flexibility.
- New Helper Class: :class:`JSONPyWizard`
- A
JSONWizard
helper to disable camelCase transformation and keep keys as-is.
- A
- Typing Improvements: Added more
*.pyi
files for enhanced type checking and IDE support. - Documentation Updates:
- Added details about upcoming changes in the next major release,
v1.0
.
- Added details about upcoming changes in the next major release,
Bugfixes
- Fixed compatibility between Global Meta Settings and :attr:`recursive_classes` (:issue:`142`).
Bugfixes
- Fixed issue with using :attr:`Meta.auto_assign_tags` and :attr:`Meta.raise_on_unknown_json_key` together (:issue:`137`).
- Fixed :attr:`JSONWizard.debug` to prevent overwriting existing class meta.
- Resolved issue where both :attr:`auto_assign_tags` and :type:`CatchAll` resulted in the tag key being incorrectly saved in :type:`CatchAll`.
- Fixed issue when :type:`CatchAll` field was specified with a default value but serialized with :attr:`skip_defaults=False`.
- Improved performance in :class:`UnionParser`: ensured that :func:`get_parser` is called only once per annotated type.
- Added test case(s) to confirm intended behavior.
Bugfixes
- Include
*.pyi
files in source distribution (packaging).
Features and Improvements
- Nested JSON Mapping (:issue:`60`): Map nested JSON keys to dataclass fields using helper functions :func:`KeyPath` or :func:`json_field`.
- Catch-All Keys (:issue:`57`): Save unknown JSON keys with ease.
- Cleaner Codebase: Remove comments and type annotations for Python files with
.pyi
counterparts. - Enhanced Debugging:
debug_enabled
now supportsbool | int | str
, allowing flexible logging levels. - Documentation Updates: Improved and expanded docs!
Features and Improvements
- Added :class:`TOMLWizard`.
- Introduced new (pre-process) serializer hooks:
- Added
debug
parameter to :meth:`JSONWizard.__init_subclass__`. - Added
*.pyi
stub files for better Type Hinting and Autocompletion in IDEs (e.g., PyCharm):
- Added
- Introduced utility class :class:`FunctionBuilder` to help build and dynamically
exec
a function. - Documentation/tests on the new and updated features.
Changes
- The returned parser for a dataclass is now the original load/dump function itself (which takes a single argument) rather than a :class:`Parser` instance.
- Minor optimization and quality-of-life improvement: dynamically
exec
dataclass load and dump functions. - Improved performance: if a class defines a :meth:`from_dict` method - equivalent to :func:`fromdict` - and a :meth:`to_dict` method - equivalent to :func:`asdict` - replace them with dynamically generated load/dump functions.
- Deprecated the pre-process hook :meth:`DumpMixin.__pre_as_dict__`.
Features and Improvements
- This minor release drops support for Python 3.6, 3.7, and 3.8, all of which have reached End of Life (EOL). Check out the Python End of Life Cycle here. Key changes resulting from this update include:
- Resolved pyup errors, previously flagged as "insecure" due to outdated package versions that lacked support for Python 3.8 or earlier.
- Update all requirements to latest versions.
- Cleaned up various TODO comments scattered throughout the codebase, as many were specific to older Python versions.
- Simplified and improved codebase for easier maintenance.
- Remove everything except the
py.typed
file (see comment).
- Added test case to satisfy :issue:`89`.
- Added support for cyclic or "recursive" dataclasses, as first mentioned in :issue:`62` (special thanks to :user:`dlenski` for finalizing this in :pr:`138`!).
Bugfixes
- :issue:`62`: Cyclic or "recursive" dataclasses no longer raises a :class:`RecursionError`.
- Typing locals should now correctly key off the correct Python version, see the commit that addressed this.
- Add
py.typed
marker, which finalizes :issue:`51`. Credits to :user:`stdedos` in :pr:`136`.
- This will be the latest (minor) release with support for Python 3.6, 3.7, and 3.8 -- all of which have reached end-of-life!
Features and Improvements
- Add compatability and support for Python 3.13. Thanks to :user:`benjjs` in :pr:`129`!
Bugfixes
- Fix: :meth:`LiteralParser.__contains__` method compares value of item with Literal arguments. Contributed by :user:`mikeweltevrede` in :pr:`111`.
Features and Improvements
- Add support for pathlib.Path. Thanks to :user:`assafge` in :pr:`79`.
- Resolve
mypy
typing issues. Thanks to :user:`AdiNar` in :pr:`64`.
Features and Improvements
- :pr:`125`: add support for
typing.Required
,NotRequired
Bugfixes
- Fixed by :pr:`125`: Annotating
TypedDict
field with one ofRequired
orNotRequired
wrappers introduced in Python 3.11, no longer raises aTypeError
-- credits to :user:`claui`.
- :pr:`94`: Allows the ability to define keys in JSON/dataclass
that do not undergo transformation -- credits to :user:`cquick01`.
LetterCase.NONE
- Performs no conversion on strings.- ex: MY_FIELD_NAME -> MY_FIELD_NAME
Features and Improvements
- Add full support for Python 3.11 and 3.12 (Credits to :user:`alexanderilyin` on :pr:`101`)
- Project-specific development changes
- Update CI to run tests on PY 3.11 and 3.12
- Update
wheel
version - Update
setup.py
to add adev
extra which installs dev-related dependencies - Move test dependencies into
requirements-test.txt
- Add
sphinx_issues
dependency to easily add link in docs to an user/issue/PR on GitHub - Update
project_urls
on PyPI to add extra links, such as "Changelog" and "Issue Tracker"
Bugfixes
- Fix: Loading a Variadic Tuple fails for length 0 (Credits to :user:`intentionally-left-nil` on :pr:`105`)
- Stop-gap fix for time-string patterns that contain
-
or+
, as Python 3.11+ can interpret this as timezone data.
Features and Improvements
- Minor performance improvement when dumping custom sub-types or unhandled types, such that we cache the dump hook for the type so that subsequent lookups are faster overall.
Features and Improvements
- Update :class:`MissingFields` to provide a more user-friendly error message,
in cases where a missing dataclass field is not snake-cased, but could - with
the right key transform - map to a key in the JSON object. For example, a JSON key of
myField
and a field namedMyField
.
Bugfixes
- Fixed a bug in the load (or de-serialization) process with
from_dict
, where a :class:`MissingFields` was raised in cases where a dataclass field is not snake-cased, but is otherwise identical to a key in the JSON object. For example, a JSON key and field both namedviewMode
. The JSON data in such cases should now be correctly de-serialized to a dataclass instance as expected.
Features and Improvements
- Ensure that the :attr:`debug_enabled` flag now applies recursively to all nested dataclasses, which is more helpful for debugging purposes.
- Add new attribute :attr:`json_object` -- which contains the original JSON object -- to :class:`ParseError` objects, and include it in the object representation.
Bugfixes
- Fixed an issue with the :attr:`debug_enabled` flag enabled, where some load
hooks were not properly decorated when debug mode was enabled; errors were not
properly formatted in these cases. To elaborate, this only affected load hooks
decorated with a
@_single_arg_alias
. In particular, this affected the load hooks for a few annotated types, such asfloat
andenum
.
Features and Improvements
Adds few extra Wizard Mixin classes that might prove incredibly convenient to use.
- :class:`JSONListWizard` - Extends :class:`JSONWizard` to return Container -- instead of list -- objects where possible.
- :class:`JSONFileWizard` - Makes it easier to convert dataclass instances from/to JSON files on a local drive.
- :class:`YAMLWizard` - Provides support to convert dataclass instances to/from YAML, using the default PyYAML parser.
Add a new :class:`Container` model class, a list sub-type which acts as a convenience wrapper around a collection of dataclass instances.
The
dataclass-wizard
library now supports parsing of YAML data. It adds the PyYAML as an optional dependency, which is loaded when it's used for the initial time. This extra dependency can be installed via:$ pip install dataclass-wizard[yaml]
- Update the parsing logic in :func:`as_timedelta` for :class:`timedelta` annotated types so we now explicitly check the types. If the value is numeric, or if it's a string in a numeric value like "1.2", we can parse it directly and so avoid calling the :mod:`pytimeparse` module.
- Update and refactor docs, doc layout, and the readme.
- Move benchmark tests to the
benchmarks/
directory.
Support custom patterns for dates and times, which are parsed (de-serialized) using :meth:`datetime.strptime`. This allows two approaches to be used, which have complete support in Python 3.7+ currently:
- Using the
DatePattern
,TimePattern
, andDateTimePattern
type annotations, representing patterned date, time, and datetime objects respectively. - Use
Annotated
to annotate the field aslist[time]
for example, and pass in :func:`Pattern` as an extra.
- Using the
Features and Improvements
- Add the option to customize the name of the tag key that will be used to
(de)serialize fields that contain dataclasses within
Union
types. A new attribute :attr:`tag_key` in theMeta
config determines the key in the JSON object that will be used for this purpose, which defaults to__tag__
if not specified. - Add the ability to auto-generate tags for a class - using the name of
the class - if a value for :attr:`tag` is not specified in the
Meta
config for a dataclass that appears within aUnion
declaration. A new flag :attr:`auto_assign_tags` in theMeta
config can be enabled to allow auto-assigning the class name as a tag.
Breaking Changes
The :func:`LoadMeta` and :func:`DumpMeta` helper functions no longer accept a class type as the first argument; the correct usage now is to invoke the :meth:`bind_to` method on the
Meta
config returned. That is, given a dataclass :class:`A`, replace the following syntax:LoadMeta(A, **kwargs)
with a more explicit binding:
LoadMeta(**kwargs).bind_to(A)
The :func:`asdict` helper function no longer accepts a
Meta
config as an argument. This is to encourage the usage of :func:`LoadMeta` and :func:`DumpMeta`, as mentioned above. The main impetus for this change is performance, since theMeta
config for a class only needs to be set up once using this approach.Updated the project status from Beta to Production/Stable, to signify that any further breaking changes will result in bumping the major version.
Features and Improvements
- Add the :meth:`bind_to` method to the base Meta class, :class:`BaseJSONWizardMeta`.
- Meta config specified for a main dataclass (i.e. the class passed in to
from_dict
andto_dict
) now applies recursively to any nested dataclasses by default. The Meta config from the main class will be merged with the Meta config for each nested class. Note that this behavior can be disabled however, with the :attr:`recursive` parameter passed in to theMeta
config. - Rename :class:`BaseMeta` to :class:`AbstractMeta`, as the name should be overall more clearer, since it's actually an abstract class.
property_wizard
: Update the metaclass to support new-style annotations, also via a__future__
import declared at a the top of a module; this allows PEP 585 and PEP 604 style annotations to be used in Python 3.7 and higher.
- Support new-style annotations in Python 3.7+, via a
__future__
import declared at a the top of a module; this allows PEP 585 and PEP 604 style annotations to be used in Python 3.7 and higher. wiz
CLI: Add the -x / --experimental flag, which instead uses new-style annotations in the generated Python code.- Update the docs and readme with examples and usage of future annotations in Python 3.7+.
- Minor code refactor and cleanup to support
ForwardRef
in Python 3.6 a little better.
- Add full support for Python 3.10
- Add support for serializing
datetime.timedelta
- Requires an extra for de-serialization,
can be installed via
pip install dataclass-wizard[timedelta]
.
- Requires an extra for de-serialization,
can be installed via
Features and Improvements
- Add new internal helper function :func:`eval_forward_ref_if_needed`
Bugfixes
- Support forward references in type arguments to
Union
, as well as when iterating over the list of :func:`dataclasses.fields` for each data class.
- Add a new method :meth:`list_to_json` to the :class:`JSONWizard` Mixin class, which can be used to convert a list of dataclass instances to a JSON string representation.
- Minor code refactoring to introduce small typing-related changes.
- Update docs.
- Add the ability to skip fields with default values in the serialization
process. A new attribute
skip_defaults
in the innerMeta
class determines whether to skip / omit fields with default values, based on thedefault
ordefault_factory
argument to :func:`dataclasses.field`. - Add the ability to omit fields in the serialization process.
- A new argument
dump
added to the :func:`json_key` and :func:`json_field` helper functions determines whether to exclude the field in the JSON or dictionary result. - The :func:`asdict` helper function has similarly been updated to accept a
exclude
argument, containing a list of one or more dataclass field names to exclude from the serialization process.
- A new argument
Bugfixes
- Dataclass fields that are excluded from the constructor method - i.e. ones
defined like
field(init=False...)
- should now be similarly handled in the de-serialization process.
Bugfixes
- The :attr:`Meta.tag` field should be updated to a
ClassVar
to help reduce the memory footprint.
Features and Improvements
- Add the ability to handle de-serialization and serialization of dataclasses
within
Union
types. A new attributetag
in the innerMeta
class determines the tag name to map to a dataclass, when the dataclass is part of anyUnion
types. - The dump (serialization) process has been reworked to function more like the load process. That is, it will properly use the :class:`Meta` config for a dataclass, as well as any custom load hooks for nested dataclasses. Performance or functionality should not otherwise be affected.
Bugfixes
- Ensure that :func:`setup_dump_config_for_cls_if_needed` is called for nested dataclasses, so that custom key mappings for example can be properly applied.
Features and Improvements
- Add new error class :class:`MissingData`, which is raised when a dataclass field
annotated as a data class type has a
null
JSON value in the load process. - Update the :func:`as_int` helper function so that
float
values as well as ones encoded as strings are correctly converted to annotatedint
types, i.e. using theint(round(float))
syntax. - Add :class:`Encoder` and :class:`Decoder` model classes, and properly implement them in the :class:`JSONWizard` helper methods.
- Decorate the :class:`JSONWizard` helper methods :meth:`from_list`, :meth:`from_dict`,
and :meth:`to_dict` with the
_alias
decorator.
Bugfixes
property_wizard
: Remove the internal usage of :func:`get_type_hints_with_extras` for resolving class annotations. This is becausetyping.get_type_hints
will raise an error if a class has forward references in any type annotations. Since the usage is as a metaclass, forward refs can never be resolved. So we will instead access the class__annotations
directly, and for now will ignore any forward references which are declared.- Ensure :func:`fromlist` is actually exported at the top level (looks like that was not the case)
- Change the order of arguments for :func:`fromdict` and :func:`fromlist` functions, since it's more intuitive to pass the name of the data class as the first argument.
- Add :func:`fromlist`, :func:`fromdict`, and :func:`asdict` to the public API, and ensure that we export these helper functions.
- Add new helper functions :func:`LoadMeta` and :func:`DumpMeta` to specify
the meta config for a dataclass, which can be used with the new functions
like
fromdict
above. - Custom key mappings: support a use case where we want to specify a new
mapping via the
__remapping__
key in themetadata
argument to :func:`dataclasses.field`.
- Add the ability to handle unknown or extraneous JSON keys in the load (de-serialization)
process. A new attribute
raise_on_unknown_json_key
to theMeta
class determines if we should raise an error in such cases. - Move attribute definition for the
JSONWizard.Meta
class into a new :class:`BaseMeta` definition, so that the model can be re-used in loaders and dumpers module for example. - Ensure all errors raised by this library extend from a new base error class, :class:`JSONWizardError`.
- Add new error classes
- :class:`MissingFields` - raised when JSON object is missing a required dataclass field.
- :class:`UnknownJSONKey` - raised when an unknown or extraneous JSON key is encountered in the JSON load process.
- Split up the load (de-serialization) process for named tuples into two
helper load hooks. The new hook :meth:`load_to_named_tuple_untyped` is used
for the
collections.namedtuple
variant. - Minor performance improvements so the JSON load process is slightly faster.
- Rename some internal functions, such as the
default_func
decorator (renamed to_alias
). I felt that this name was overall more clearer. - Similarly rename
PassThroughParser
toSingleArgParser
, as that's a bit more clear which types it handles. wiz
CLI: comment out the --verbose and --quiet flags, as those were unused anyway.- Update docs/
- Minor performance improvements so the JSON load process is slightly faster.
wiz gs
: The result now includes the :class:`JSONWizard` import and the expected usage by default.- Update type annotations slightly for the
LoadMixin.load_to...
methods. - Add support for sub-classes of common Python types, such as subclasses of
str
andint
, as part of the JSON load process. - Remove
ForwardRefParser
- we don't need it anyway as it's a simple resolution, and the usage of aParser
object incurs a bit of an unnecessary overhead.
Features and Improvements
- Minor performance improvements so the JSON load process is slightly faster.
- Replace
CaseInsensitiveDict
with a customDictWithLowerStore
implementation. wiz
CLI: Add a--version
option to check the installed version.- Remove :func:`get_class_name` usage wherever possible.
Bugfixes
- Fixes for the JSON to dataclass generation tool
- Ensure that nested lists with dictionaries are correctly merged, and add a test case to confirm intended behavior.
- Change to only singularize model names if nested within a list.
Bugfixes
wiz gs
: Empty lists should appear asList
instead ofDict
Bugfixes
- Fix an import issue with the
wiz
CLI tool.
Features and Improvements
- Add new
wiz
companion CLI utility - Add a CLI sub-command
gs
to generate the dataclass schema for a JSON file or string input.
Bugfixes
- The key transform functions now correctly work when the JSON keys contain
spaces. For example, a field named "the number 42" should now be correctly
parsed as
the_number_42
when the key transformer is :func:`to_snake_case`.
- Support the
deque
type in the JSON load and dump process, as well as its equivalent in thetyping
module. - Add
__slots__
where possible to classes, to help reduce the overall memory footprint. - Slightly changed the order of constructor arguments to most
Parser
implementations. - Rename the
type_check
utils module totyping_compat
, as I think this name makes it clearer as to its purpose. - Rename a few internal functions, such as
BaseJSONWizardMeta._safe_as_enum
->BaseJSONWizardMeta._as_enum_safe
- Add benchmark tests against a few other libraries
- Support
set
andfrozenset
types in the JSON load and dump process, as well as their equivalents in thetyping
module. - Support custom JSON key mappings for dataclass fields.
- Add new exported helper functions:
json_field
: This can be thought of as an alias todataclasses.field(...)
, but one which also represents a mapping of one or more JSON key names to a dataclass field.json_key
: Represents a mapping of one or more JSON key names for a dataclass field.
- Add an optional attribute
json_key_to_field
toJSONSerializable.Meta
- Rename
ListParser
toIterableParser
, since this parser will also be used for Set types. - Update the
__call__
method of the defaultParser
to raise aParseError
, so we can provide a more helpful error message when an unknown or unsupported type annotation is encountered.
Bugfixes
- The
property_wizard
metaclass should now correctly handle cases when field properties are annotated as a standard mutable type (list
,dict
, orset
). - The
property_wizard
metaclass should now also honor thedefault_factory
argument to a dataclass field object as expected. - Resolved an issue where in some cases the JSON load/dump process failed when
Python 3.8+ users imported
TypedDict
fromtyping
instead of thetyping_extensions
module. Now it should correctly work regardless of which version ofTypedDict
is used. This is especially important because of an issue with TypedDict that is present in Python 3.8.
Features and Improvements
JSONSerializable
now supports dataclass fields with an Annotated type.- The
property_wizard
metaclass has been (similarly) updated to support Annotated field properties; such types can be resolved by making a call totyping.get_type_hints
with the argumentinclude_extras=True
. - Support for adding global JSON load/dump settings, e.g. when
JSONSerializable.Meta
is defined as an outer class. - Add proper source attributions, and apply the LICENSE and any NOTICE (if applicable) from the sources.
- Update comments in code to clarify or elaborate where needed.
- Update Sphinx docs/
Bugfixes
- When
JSONSerializable.Meta
is defined as an inner class - which is the most common scenario - it should now be correctly applied per-class, rather than mutating the load/dump process for other dataclasses that don't define their own innerMeta
class. - When logging a message if a JSON key is missing from a dataclass schema, the dataclass name is now also included in the message.
- Update README docs with usage of newly supported features
Features and Improvements
- Add support for serializing the following Python types:
defaultdict
(via thetyping.DefaultDict
annotation)UUID
's- The special variadic form of
Tuple
. For example,Tuple[str, ...]
. - A special case where optional type arguments are passed to
Tuple
. For example,Tuple[str, Optional[int], Union[bool, str, None]]
- Add new
LetterCase.LISP
Enum member, which references theto_lisp_case
helper function - All the
Enum
-subclass attributes inJSONSerializable.Meta
now additionally support strings as values; they will be parsed using the Enumname
field by default, and should format helpful messages on any lookup errors. - Remove the
LoadMixin.load_with_object
method, as that was already deprecated and slated to be removed.
Bugfixes
- Update the
get_class_name
helper function to handle the edge case when classes are defined within a function. - Update a few
load_to...
methods as astaticmethod
- Some minor code refactoring
- Require
typing-extensions
library up till Python 3.9 now (it's main use for Python 3.8 and 3.9 is the updatedget_origin
andget_args
helper functions) - The default
__str__
method is now optional, and can be skipped via the flagstr=False
- Add some more test cases
- Update README docs
- Move the section on Advanced Usage to the main docs
- Cleanup usage and docs in the Field Properties section
- Add better keywords for the package
- Explicitly add a dependency on
typing-extensions
for Python 3.6 and 3.7
- Fix a bug for Python 3.6 where the build failed when using the PyForwardRef annotation.
- Rename type variable
EXPLICIT_NULL
toExplicitNull
- Rename module
type_defs.py
totype_def.py
- Rename module
base_meta.py
tobases_meta.py
JSONSerializable.Meta
: rename attributedate_time_with_dump
tomarshal_date_time_as
, as I believe this name is overall more clearer.- Refactor the
property_wizard
helper function and update it to cover some edges cases. - Add test cases to confirm intended functionality of
property_wizard
.
- First release on PyPI.