Anonymous datatype validation
Project description
For full package documenation, please see: http://datatype.readthedocs.org/
Examples
>>> from datatype.validation import failures >>> datatype = {'foo': [{'bar': 'int'}]} >>> bad_value = {'foo': [{'bar': 'baz'}], 'bif': 'pow!'} >>> failures(datatype, bad_value) ['unexpected property "bif"', 'foo[0].bar: expected int, got str']
Wildcard dictionary keys:
>>> datatype = {'_any_': ['int']} >>> good_value = {'foo': [1, 2, 3], 'bar': [3, 4, 5]} >>> failures(datatype, good_value) []
Coercion:
>>> from datatype.coercion import coerce_value >>> coerce_value(['str'], [1, 2, 3]) ['1', '2', '3']
Copyright and License
Copyright 2011-2012 LearningStation, Inc. and Adam Wagner
Licensed under the BSD-3 License. You may obtain a copy of the License in the LICENSE file.
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