pycerberus 0.3.1

Highly flexible, no magic input validation library

pycerberus is a framework to check user data thoroughly so that you can protect your application from malicious (or just garbled) input data.

• Remove stupid code which converts input values: After values are validated, you can work with real Python types instead of strings - e.g. 42 instead of ‘42’, convert database IDs to model objects transparently.

• Implement custom validation rules: Writing custom validators is straightforward, everything is well documented and pycerberus only uses very little Python magic.

• Focus on your value-adding application code: Save time by implementing every input validation rule only once, but 100% right instead of implementing a dozen different half-baked solutions.

• Ready for global business: i18n support (based on GNU gettext) is built in, adding custom translations is easy.

• Tune it for your needs: You can implement custom behavior in your validators, e.g. fetch translations from a database instead of using gettext or define custom translations for built-in validators.

• Use it wherever you like: pycerberus does not depend on specific contexts (e.g. web development) so you can also use it in every Python application.

Changelog

0.3.1 (07.04.2010)

• Fixed bug due to duplicated message in DomainNameValidator/EmailAddressValidator

• Validator can now strip inputs (False by default)

• StringValidator now also treats ‘’ as empty value (as well as None)

0.3 (27.03.2010)

• Python 2.3 compatibility

• Schema can raise error if unknown items are processed

• Basic domain name validator

• Basic email address validator

0.2 (16.03.2010)

• You now can declare custom messages as a class-level dict

• Added interface to retrieve error details from InvalidDataErrors

• Added validation schemas to validate a set of values (typically a web form). Schemas can also inherit from other schemas to avoid code duplication.

• Validators try to make thread-safety violations obvious

• Nicer API to retrieve error details from an InvalidDataError

0.1 (30.01.2010)

• initial release