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Highly flexible, no magic input validation library

Project description

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 is used in a SMTP server, trac macros as well as web applications - there are no dependencies on a specific context like web development.

Changelog

0.4.1 (16.04.2011)

  • Fix source distribution (distribution_helpers.py were not included)

0.4 (13.04.2011)

  • pycerberus now supports Python 3!

  • Fix installation/egg generation without babel

  • Added a schema which can parse positional parameters from a string into a dict before processing the data like a normal schema would do

0.3.3 (04.07.2010)

  • Fix installation issue: pycerberus is actually not zip-safe

0.3.2 (05.06.2010)

  • Fix egg file generation: Include all necessary packages in eggs

  • added babel support to setup.py

  • updated pot file and completed German translation

  • fix exception if translations for preferred locale are not available (fall back to english messages)

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

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