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Very simple and effective schema checker

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Simple and effective schema checker:

>>> from poormanschema import *
>>> check({'first_name': 1}. [{'first_name': str, 'last_name': str}])
ValueError: {first_name} should be of type "str"

It can also normalize data:

>>> check(' 2016-03-23T12:23:12 ', OR(STRIP, ISO8601))

Or convert them on entry:

>>> repr(check(['1.3'], [DECIMAL]))

List of predicates

  • check(data, schema, path=’‘) - check data agains schema, prefix error messages with path
  • OR(*schemas) - first schema to match is returned
  • ANY - can be anything
  • AND(*schemas) - all schemas must match
  • MANDATORY(schema) - only useful on dict values, indicate the corresponding key is mandatory, all other keys are optional
  • RE(regexp, repl=None, count=0, flag=0) - value must be a string matching regexp
  • ISO8601 - value must be a string like ‘2016-09-07T12:12:34’
  • NORMALIZE(schema, convert) - apply schema then apply converter to the result
  • STRIP - remove starting and ending spaces
  • LOWER - lowercase the string
  • UPPER - uppercase the string
  • DECIMAL - convert a string into a decimal.Decimal object

Exemple: SCIM 1.0 Core Schema of an User object

schema = {
    'schemas': MANDATORY([basestring]),
    'id': MANDATORY(basestring),
    'externalId': MANDATORY(basestring),
    'userName': MANDATORY(unicode),
    'name': MANDATORY({
        'formatted': MANDATORY(str),
        'familyName': str,
        'givenName': str,
        'middleName': str,
        'honorificPrefix': str,
        'honorificSuffix': str,
    'urn:ietf:params:scim:schemas:extension:enterprise:2.0:User': MANDATORY({
        'employeeNumber': OR(STRIP, RE(r'^\d+$')),
        'costCenter': OR(STRIP, RE(r'^\d+$')),
    'meta': {
        'resourceType': 'User',
        'created': ISO8601,
        'lastModified': ISO8601,
        'version': RE(r'^(W\\)?"[^"]"$'),
        'location': str,

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