schemable 0.5.0

Links

• Project: https://github.com/dgilland/schemable

• Documentation: https://schemable.readthedocs.io

• PyPI: https://pypi.python.org/pypi/schemable/

• TravisCI: https://travis-ci.org/dgilland/schemable

Features

• Simple schema definitions using dict, list, and type objects

• Complex schema definitions using Any, All, As, and predicates

• Detailed validation error messages

• Partial data loading on validation failure

• Strict and non-strict parsing modes

• Python 3.4+

Quickstart

Install using pip:

pip install schemable

Define a schema using dict and list objects:

from schemable import Schema, All, Any, As, Optional, SchemaError

user_schema = Schema({
    'name': str,
    'email': All(str, lambda email: len(email) > 3 and '@' in email),
    'active': bool,
    'settings': {
        Optional('theme'): str,
        Optional('language', default='en'): str,
        Optional('volume'): int,
        str: str
    },
    'aliases': [str],
    'phone': All(str,
                 As(lambda phone: ''.join(filter(str.isdigit, phone))),
                 lambda phone: 10 <= len(phone) <= 15),
    'addresses': [{
        'street_addr1': str,
        Optional('street_addr2', default=None): Any(str, None),
        'city': str,
        'state': str,
        'country': str,
        'zip_code': str
    }]
})

Then validate and load by passing data to user_schema():

# Fail!
result = user_schema({
    'name': 'Bob Smith',
    'email': 'bob.example.com',
    'active': 1,
    'settings': {
        'theme': False,
        'extra_setting1': 'val1',
        'extra_setting2': True
    },
    'phone': 1234567890,
    'addresses': [
        {'street_addr1': '123 Lane',
         'city': 'City',
         'state': 'ST',
         'country': 'US',
         'zip_code': 11000}
    ]
})

print(result)
# SchemaResult(
#     data={'name': 'Bob Smith',
#           'settings': {'extra_setting1': 'val1',
#                        'language': 'en'}
#           'addresses': [{'street_addr1': '123 Lane',
#                          'city': 'City',
#                          'state': 'ST',
#                          'country': 'US',
#                          'street_addr2': None}]},
#     errors={'email': "bad value: <lambda>('bob.example.com') should evaluate to True",
#             'active': 'bad value: type error, expected bool but found int',
#             'settings': {'theme': 'bad value: type error, expected str but found bool',
#                          'extra_setting2': 'bad value: type error, expected str but found bool'},
#             'phone': 'bad value: type error, expected str but found int',
#             'addresses': {0: {'zip_code': 'bad value: type error, expected str but found int'}},
#             'aliases': 'missing required key'})

# Fail!
result = user_schema({
    'name': 'Bob Smith',
    'email': 'bob@example.com',
    'active': True,
    'settings': {
        'theme': False,
        'extra_setting1': 'val1',
        'extra_setting2': 'val2'
    },
    'phone': '123-456-789',
    'addresses': [
        {'street_addr1': '123 Lane',
         'city': 'City',
         'state': 'ST',
         'country': 'US',
         'zip_code': '11000'}
    ]
})

print(result)
# SchemaResult(
#     data={'name': 'Bob Smith',
#           'email': 'bob@example.com',
#           'active': True,
#           'settings': {'extra_setting1': 'val1',
#                        'extra_setting2': 'val2',
#                        'language': 'en'},
#           'addresses': [{'street_addr1': '123 Lane',
#                          'city': 'City',
#                          'state': 'ST',
#                          'country': 'US',
#                          'zip_code': '11000',
#                          'street_addr2': None}]},
#     errors={'settings': {'theme': 'bad value: type error, expected str but found bool'},
#             'phone': "bad value: <lambda>('123456789') should evaluate to True",
#             'aliases': 'missing required key'})

Or can raise an exception on validation failure instead of returning results:

# Fail strictly!
try:
    user_schema({
        'name': 'Bob Smith',
        'email': 'bob@example.com',
        'active': True,
        'settings': {
            'theme': False,
            'extra_setting1': 'val1',
            'extra_setting2': 'val2'
        },
        'phone': '123-456-789',
        'addresses': [
            {'street_addr1': '123 Lane',
             'city': 'City',
             'state': 'ST',
             'country': 'US',
             'zip_code': '11000'}
        ]
    }, strict=True)
except SchemaError as exc:
    print(exc)
    # Schema validation failed: \
    # {'settings': {'theme': 'bad value: type error, expected str but found bool'}, \
    # 'phone': "bad value: <lambda>('123456789') should evaluate to True", \
    # 'aliases': 'missing required key'}

Access the parsed data after successful validation:

# Pass!
result = user_schema({
    'name': 'Bob Smith',
    'email': 'bob@example.com',
    'active': True,
    'settings': {
        'theme': 'dark',
        'extra_setting1': 'val1',
        'extra_setting2': 'val2'
    },
    'phone': '123-456-7890',
    'aliases': [],
    'addresses': [
        {'street_addr1': '123 Lane',
         'city': 'City',
         'state': 'ST',
         'country': 'US',
         'zip_code': '11000'}
    ]
})

print(result)
# SchemaResult(
#     data={'name': 'Bob Smith',
#           'email': 'bob@example.com',
#           'active': True,
#           'settings': {'theme': 'dark',
#                        'extra_setting1': 'val1',
#                        'extra_setting2': 'val2',
#                        'language': 'en'},
#           'phone': '1234567890',
#           'aliases': [],
#           'addresses': [{'street_addr1': '123 Lane',
#                          'city': 'City',
#                          'state': 'ST',
#                          'country': 'US',
#                          'zip_code': '11000',
#                          'street_addr2': None}]},
#     errors={})

For more details, please see the full documentation at https://schemable.readthedocs.io.

Changelog

License

The MIT License (MIT)

Copyright (c) 2018, Derrick Gilland

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.