Metadata-Version: 2.1
Name: validated-dc
Version: 1.3.0
Summary: Dataclass with data validation.
Home-page: https://github.com/EvgeniyBurdin/validated_dc
Author: Evgeniy Burdin
Author-email: e.s.burdin@mail.ru
License: BSD
Description: # ValidatedDC
        
        [![PyPI version](https://badge.fury.io/py/validated-dc.svg)](https://badge.fury.io/py/validated-dc) [![Build Status](https://travis-ci.com/EvgeniyBurdin/validated_dc.svg?branch=master)](https://travis-ci.com/EvgeniyBurdin/validated_dc) [![Coverage Status](https://coveralls.io/repos/github/EvgeniyBurdin/validated_dc/badge.svg?branch=master)](https://coveralls.io/github/EvgeniyBurdin/validated_dc?branch=master) [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/EvgeniyBurdin/validated_dc.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/EvgeniyBurdin/validated_dc/context:python) [![Total alerts](https://img.shields.io/lgtm/alerts/g/EvgeniyBurdin/validated_dc.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/EvgeniyBurdin/validated_dc/alerts/) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/validated-dc)
        
        Dataclass with data validation. Checks the value of its fields by their annotations.
        
        ## Capabilities
        
        `ValidatedDC` is a regular Python dataclass.
        
        1. Support for standard types and custom Python classes.
        2. Support for some aliases from the `typing` module, namely: `Any`, `List`, `Literal`, `Optional`, `Union`. These aliases can be embedded in each other.
        3. When initializing an instance of a class, you can use the value of the field `dict` instead of the `ValidatedDC` instance specified in the field annotation (useful, for example, when retrieving data via api).
        4. Data validation occurs immediately after an instance is created, and can also be run by the `is_valid()` function at any time.
        5. The `get_errors()` function will show the full traceback of errors in the fields, including errors of nested classes.
        
        See detailed in the `examples` folder.
        
        ## Installation
        
        ```bash
        pip install validated-dc
        ```
        
        ## Python versions support
        
        Versions `3.7`, `3.8` and `3.9` are currently supported.  
        
        To work with version `python 3.7` you need to install:  
        
        ```bash
        pip install typing_extensions
        ```
        
        ## Quick example
        
        ```python
        from dataclasses import dataclass
        from typing import List, Union
        
        from validated_dc import ValidatedDC, get_errors, is_valid
        
        
        # Some combinations of List and Union
        
        @dataclass
        class Foo(ValidatedDC):
            value: Union[int, List[int]]
        
        
        @dataclass
        class Bar(ValidatedDC):
            foo: Union[Foo, List[Foo]]
        
        
        # --- Valid input ---
        
        foo = {'value': 1}
        instance = Bar(foo=foo)
        assert get_errors(instance) is None
        assert instance == Bar(foo=Foo(value=1))
        
        foo = {'value': [1, 2]}
        instance = Bar(foo=foo)
        assert get_errors(instance) is None
        assert instance == Bar(foo=Foo(value=[1, 2]))
        
        foo = [{'value': 1}, {'value': 2}]
        instance = Bar(foo=foo)
        assert get_errors(instance) is None
        assert instance == Bar(foo=[Foo(value=1), Foo(value=2)])
        
        foo = [{'value': [1, 2]}, {'value': [3, 4]}]
        instance = Bar(foo=foo)
        assert get_errors(instance) is None
        assert instance == Bar(foo=[Foo(value=[1, 2]), Foo(value=[3, 4])])
        
        
        # --- Invalid input ---
        
        foo = {'value': 'S'}
        instance = Bar(foo=foo)
        assert get_errors(instance)
        assert instance == Bar(foo={'value': 'S'})
        # fix
        instance.foo['value'] = 1
        assert is_valid(instance)
        assert get_errors(instance) is None
        assert instance == Bar(foo=Foo(value=1))
        
        foo = [{'value': [1, 2]}, {'value': ['S', 4]}]
        instance = Bar(foo=foo)
        assert get_errors(instance)
        assert instance == Bar(foo=[{'value': [1, 2]}, {'value': ['S', 4]}])
        # fix
        instance.foo[1]['value'][0] = 3
        assert is_valid(instance)
        assert get_errors(instance) is None
        assert instance == Bar(foo=[Foo(value=[1, 2]), Foo(value=[3, 4])])
        
        
        # --- get_errors() ---
        
        foo = {'value': 'S'}
        instance = Bar(foo=foo)
        print(get_errors(instance))
        # {
        #   'foo': [
        #       # An unsuccessful attempt to use the dictionary to create a Foo instance
        #       InstanceValidationError(
        #           value_repr="{'value': 'S'}",
        #           value_type=<class 'dict'>,
        #           annotation=<class '__main__.Foo'>,
        #           exception=None,
        #           errors={
        #               'value': [
        #                   BasicValidationError(  # because the str isn't an int
        #                       value_repr='S', value_type=<class 'str'>,
        #                       annotation=<class 'int'>, exception=None
        #                   ),
        #                   BasicValidationError(  # and the str is not a list of int
        #                       value_repr='S', value_type=<class 'str'>,
        #                       annotation=typing.List[int], exception=None
        #                   )
        #               ]
        #           }
        #       ),
        #       BasicValidationError(  # the dict is not a list of Foo
        #           value_repr="{'value': 'S'}",
        #           value_type=<class 'dict'>,
        #           annotation=typing.List[__main__.Foo],
        #           exception=None
        #       )
        #   ]
        # }
        
        ```
        
Keywords: validated dataclasses typing dict api
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development
Requires-Python: >=3.7
Description-Content-Type: text/markdown
