Skip to main content

Anonymous datatype validation

Project description

For full package documenation, please see:


>>> 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)


>>> from datatype.coercion import coerce_value

>>> coerce_value(['str'], [1, 2, 3])
['1', '2', '3']

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datatype-0.8.5.tar.gz (4.6 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page