mirror of
https://github.com/kennethreitz/pydantic.git
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Samuel Colvin
677537d1f5
* add benchmarks for cerberus * remove toasted-marshmallow, upgrade marshmallow
50 lines
2.1 KiB
Python
50 lines
2.1 KiB
Python
from cerberus import Validator, __version__
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from dateutil.parser import parse as datetime_parse
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class TestCerberus:
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package = 'cerberus'
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version = str(__version__)
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def __init__(self, allow_extra):
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schema = {
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'id': {'type': 'integer', 'required': True},
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'client_name': {'type': 'string', 'maxlength': 255, 'required': True},
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'sort_index': {'type': 'float', 'required': True},
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'client_phone': {'type': 'string', 'maxlength': 255, 'nullable': True},
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'location': {
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'type': 'dict',
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'schema': {'latitude': {'type': 'float'}, 'longitude': {'type': 'float'}},
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'nullable': True,
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},
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'contractor': {'type': 'integer', 'min': 0, 'nullable': True, 'coerce': int},
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'upstream_http_referrer': {'type': 'string', 'maxlength': 1023, 'nullable': True},
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'grecaptcha_response': {'type': 'string', 'minlength': 20, 'maxlength': 1000, 'required': True},
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'last_updated': {'type': 'datetime', 'nullable': True, 'coerce': datetime_parse},
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'skills': {
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'type': 'list',
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'default': [],
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'schema': {
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'type': 'dict',
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'schema': {
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'subject': {'type': 'string', 'required': True},
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'subject_id': {'type': 'integer', 'required': True},
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'category': {'type': 'string', 'required': True},
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'qual_level': {'type': 'string', 'required': True},
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'qual_level_id': {'type': 'integer', 'required': True},
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'qual_level_ranking': {'type': 'float', 'default': 0, 'required': True},
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},
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},
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},
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}
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self.v = Validator(schema)
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self.v.allow_unknown = allow_extra
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def validate(self, data):
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validated = self.v.validated(data)
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if validated is None:
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return False, self.v.errors
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else:
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return True, validated
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