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.. image:: https://travis-ci.org/eflglobal/filters.svg?branch=master :target: https://travis-ci.org/eflglobal/filters .. image:: https://readthedocs.org/projects/filters/badge/?version=latest :target: http://filters.readthedocs.io/
The Filters library provides an easy and readable way to create complex data validation and processing pipelines, including:
And much more!
The output from one filter can be "piped" into the input of another, enabling you to "chain" filters together to quickly and easily create complex data pipelines.
Validate a latitude position and round to manageable precision:
.. code:: python
( f.Required | f.Decimal | f.Min(Decimal(-90)) | f.Max(Decimal(90)) | f.Round(to_nearest='0.000001') ).apply('-12.0431842')
Parse an incoming value as a datetime, convert to UTC and strip tzinfo:
.. code:: python
f.Datetime(naive=True).apply('2015-04-08T15:11:22-05:00')
Convert every value in an iterable (e.g., list) to unicode and strip
leading/trailing whitespace.
This also applies Unicode normalization
_, strips unprintable characters and
normalizes line endings automatically.
.. code:: python
f.FilterRepeater(f.Unicode | f.Strip).apply([ b'\xe2\x99\xaa ', b'\xe2\x94\x8f(\xc2\xb0.\xc2\xb0)\xe2\x94\x9b ', b'\xe2\x94\x97(\xc2\xb0.\xc2\xb0)\xe2\x94\x93 ', b'\xe2\x99\xaa ', ])
Parse a JSON string and check that it has correct structure:
.. code:: python
( f.JsonDecode | f.FilterMapper( { 'birthday': f.Date, 'gender': f.CaseFold | f.Choice(choices={'m', 'f', 'x'}),
'utcOffset':
f.Decimal
| f.Min(Decimal('-15'))
| f.Max(Decimal('+15'))
| f.Round(to_nearest='0.25'),
},
allow_extra_keys = False,
allow_missing_keys = False,
)
).apply('{"birthday":"1879-03-14", "gender":"M", "utcOffset":"1"}')
Filters is compatible with Python versions 3.6, 3.5 and 2.7.
Install the latest stable version via pip::
pip install filters
The following extensions are available:
Django Filters
_: Adds filters designed to work with Django applications.
To install::
pip install filters[django]
ISO Filters
_: Adds filters for interpreting standard codes and identifiers.
To install::
pip install filters[iso]
.. _Django Filters: https://pypi.python.org/pypi/filters-django .. _ISO Filters: https://pypi.python.org/pypi/filters-iso .. _Unicode normalization: https://en.wikipedia.org/wiki/Unicode_equivalence
FAQs
Validation and data pipelines made easy!
We found that filters demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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