Booby: data modeling and validation library
Booby is a standalone data modeling and validation library written in Python. Booby is under active development and licensed under the Apache2 license, so feel free to contribute and report errors and suggestions.
See the sample code below to get an idea of the main features.
from booby import *
class Token(Model):
key = StringField()
secret = StringField()
class User(Model):
login = StringField(required=True)
name = StringField()
email = EmailField()
token = EmbeddedField(Token, required=True)
jack = User(
login=u'jacko',
name=u'Jack',
email=u'jack@example.com',
token={
'key': u'vs7df...',
'secret': u'ds5ds4...'
}
)
try:
jack.validate()
except ValidationError:
pass
else:
print jack.to_json()
'{"email": "jack@example.com", "login": "jacko", "token": {"secret": "ds5ds4...", "key": "vs7df..."}, "name": "Jack"}'Installation
You can install the last stable release of Booby from PyPI using pip or easy_install.
$ pip install boobyAlso you can install the latest sources from Github.
$ pip install -e git+git://github.com/jaimegildesagredo/booby.gitTests
To run the Booby test suite you should install the development requirements and then run nosetests.
$ pip install -r requirements-devel.txt
$ nosetests tests/unit
$ nosetests tests/integrationDocumentation
Booby docs are hosted on Read The Docs.
1 maintainer
Metadata
1 maintainer
Release files for booby 0.2
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