Validation and parsing library
Project description
Trafaret
========
-----
|circleci_build| |gitter_chat| |pypi_version| |pypi_license|
-----
Ultimate transformation library that supports validation, contexts and ``aiohttp``.
Trafaret is rigid and powerful lib to work with foreign data, configs etc.
It provides simple way to check anything, and convert it accordingly to your needs.
It have shortcut syntax and ability to express anything that you can code:
.. code-block:: python
>>> from trafaret.constructor import construct
>>> validator = construct({'a': int, 'b': [str]})
>>> validator({'a': 5, 'b': ['lorem', 'ipsum']})
{'a': 5, 'b': ['lorem', 'ipsum']}
>>> validator({'a': 5, 'b': ['gorky', 9]})
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/Users/mkrivushin/w/trafaret/trafaret/__init__.py", line 204, in __call__
return self.check(val)
File "/Users/mkrivushin/w/trafaret/trafaret/__init__.py", line 144, in check
return self._convert(self.check_and_return(value))
File "/Users/mkrivushin/w/trafaret/trafaret/__init__.py", line 1105, in check_and_return
raise DataError(error=errors, trafaret=self)
trafaret.DataError: {'b': DataError({1: DataError(value is not a string)})}
Read The Docs hosted documentation <http://trafaret.readthedocs.org/en/latest/>
or look to the docs/api/intro.rst for start.
Trafaret can even generate Trafarets instances to build transformators from json,
like in json schema implementation `Trafaret Schema <https://github.com/Deepwalker/trafaret_schema>`_
New
---
* converters and ``convert=False`` are deleted in favor of ``And`` and ``&``
* ``String`` parameter ``regex`` deleted in favor of ``Regexp`` and ``RegexpRaw`` usage
* new ``OnError`` to customize error message
* ``context=something`` argument for ``__call__`` and ``check`` Trafaret methods.
Supported by ``Or``, ``And``, ``Forward`` etc.
* new customizable method ``transform`` like ``change_and_return`` but takes ``context=`` arg
* new ``trafaret_instance.async_check`` method that works with ``await``
Doc
---
For simple example what can be done:
.. code-block:: python
import datetime
import trafaret as t
date = t.Dict(year=t.Int, month=t.Int, day=t.Int) >> (lambda d: datetime.datetime(**d))
assert date.check({'year': 2012, 'month': 1, 'day': 12}) == datetime.datetime(2012, 1, 12)
Work with regex:
.. code-block:: python
>>> c = t.String(regex=r'^name=(\w+)$') >> (lambda m: m.groups()[0])
>>> c.check('name=Jeff')
'Jeff'
Rename dict keys:
.. code-block:: python
>>> c = t.Dict(t.Key('uNJ') >> 'user_name': t.String})
>>> c.check({'uNJ': 'Adam'})
{'user_name': 'Adam'}
``Arrow`` date checking:
.. code-block:: python
import arrow
def check_datetime(str):
try:
return arrow.get(str).naive
except arrow.parser.ParserError:
return t.DataError('value is not in proper date/time format')
Yes, you can write trafarets that simple.
Related projects
----------------
`Trafaret Config <https://github.com/tailhook/trafaret-config>`_
`Trafaret Validator <https://github.com/Lex0ne/trafaret_validator>`_
.. |circleci_build| image:: https://circleci.com/gh/Deepwalker/trafaret.svg?style=shield
:target: https://circleci.com/gh/Deepwalker/trafaret
:alt: Build status
.. |gitter_chat| image:: https://badges.gitter.im/Deepwalker/trafaret.png
:target: https://gitter.im/Deepwalker/trafaret
:alt: Gitter
.. |pypi_version| image:: https://img.shields.io/pypi/v/trafaret.svg?style=flat-square
:target: https://pypi-hypernode.com/pypi/trafaret
:alt: Downloads
.. |pypi_license| image:: https://img.shields.io/pypi/l/trafaret.svg?style=flat-square
:target: https://pypi-hypernode.com/pypi/trafaret
:alt: Downloads
========
-----
|circleci_build| |gitter_chat| |pypi_version| |pypi_license|
-----
Ultimate transformation library that supports validation, contexts and ``aiohttp``.
Trafaret is rigid and powerful lib to work with foreign data, configs etc.
It provides simple way to check anything, and convert it accordingly to your needs.
It have shortcut syntax and ability to express anything that you can code:
.. code-block:: python
>>> from trafaret.constructor import construct
>>> validator = construct({'a': int, 'b': [str]})
>>> validator({'a': 5, 'b': ['lorem', 'ipsum']})
{'a': 5, 'b': ['lorem', 'ipsum']}
>>> validator({'a': 5, 'b': ['gorky', 9]})
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/Users/mkrivushin/w/trafaret/trafaret/__init__.py", line 204, in __call__
return self.check(val)
File "/Users/mkrivushin/w/trafaret/trafaret/__init__.py", line 144, in check
return self._convert(self.check_and_return(value))
File "/Users/mkrivushin/w/trafaret/trafaret/__init__.py", line 1105, in check_and_return
raise DataError(error=errors, trafaret=self)
trafaret.DataError: {'b': DataError({1: DataError(value is not a string)})}
Read The Docs hosted documentation <http://trafaret.readthedocs.org/en/latest/>
or look to the docs/api/intro.rst for start.
Trafaret can even generate Trafarets instances to build transformators from json,
like in json schema implementation `Trafaret Schema <https://github.com/Deepwalker/trafaret_schema>`_
New
---
* converters and ``convert=False`` are deleted in favor of ``And`` and ``&``
* ``String`` parameter ``regex`` deleted in favor of ``Regexp`` and ``RegexpRaw`` usage
* new ``OnError`` to customize error message
* ``context=something`` argument for ``__call__`` and ``check`` Trafaret methods.
Supported by ``Or``, ``And``, ``Forward`` etc.
* new customizable method ``transform`` like ``change_and_return`` but takes ``context=`` arg
* new ``trafaret_instance.async_check`` method that works with ``await``
Doc
---
For simple example what can be done:
.. code-block:: python
import datetime
import trafaret as t
date = t.Dict(year=t.Int, month=t.Int, day=t.Int) >> (lambda d: datetime.datetime(**d))
assert date.check({'year': 2012, 'month': 1, 'day': 12}) == datetime.datetime(2012, 1, 12)
Work with regex:
.. code-block:: python
>>> c = t.String(regex=r'^name=(\w+)$') >> (lambda m: m.groups()[0])
>>> c.check('name=Jeff')
'Jeff'
Rename dict keys:
.. code-block:: python
>>> c = t.Dict(t.Key('uNJ') >> 'user_name': t.String})
>>> c.check({'uNJ': 'Adam'})
{'user_name': 'Adam'}
``Arrow`` date checking:
.. code-block:: python
import arrow
def check_datetime(str):
try:
return arrow.get(str).naive
except arrow.parser.ParserError:
return t.DataError('value is not in proper date/time format')
Yes, you can write trafarets that simple.
Related projects
----------------
`Trafaret Config <https://github.com/tailhook/trafaret-config>`_
`Trafaret Validator <https://github.com/Lex0ne/trafaret_validator>`_
.. |circleci_build| image:: https://circleci.com/gh/Deepwalker/trafaret.svg?style=shield
:target: https://circleci.com/gh/Deepwalker/trafaret
:alt: Build status
.. |gitter_chat| image:: https://badges.gitter.im/Deepwalker/trafaret.png
:target: https://gitter.im/Deepwalker/trafaret
:alt: Gitter
.. |pypi_version| image:: https://img.shields.io/pypi/v/trafaret.svg?style=flat-square
:target: https://pypi-hypernode.com/pypi/trafaret
:alt: Downloads
.. |pypi_license| image:: https://img.shields.io/pypi/l/trafaret.svg?style=flat-square
:target: https://pypi-hypernode.com/pypi/trafaret
:alt: Downloads
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