pyKwalify

YAML/JSON validation library

This framework is a port of the java version of the framework kwalify that can be found at: http://www.kuwata-lab.com/kwalify/

The source code can be found at: http://sourceforge.net/projects/kwalify/files/kwalify-java/0.5.1/

The schema used in this library: http://www.kuwata-lab.com/kwalify/ruby/users-guide.01.html#schema

How to install

Note: It is recomended allways to use a virtual-enviroment when using pyKwalify

1. Download
2. Run "pip install pykwalify-x.y.z.tar.gz"
3. To use pykwalify run "pykwalify" in your terminal

Build from source

1. Clone the repo
2. Run "make sdist"
3. To install run "pip install dist/pykwalify-x.x.x.tar.gz"

Install from source

1. Clone the repo
2. Run "make install"

pyKwalify python dependencies

• docopt 0.6.0
• PyYaml 3.10

Supported python version

• Python 2.7.x - (Not supported, never will be)
• Python 3.1.x - Yes
• Python 3.2.x - Yes
• Python 3.3.x - Yes

Implemented validation rules

type:
    Type of value. The followings are available:
     - str
     - int
     - float
     - bool
     - number (int or float)
     - text (str or number)
     - date [NYI]
     - time [NYI]
     - timestamp [NYI]
     - seq
     - map
     - scalar (all but seq and map)
     - any (means any implemented type of data)

required:
    Value is required when true (default is false). This is similar to not-null constraint in RDBMS

enum:
    List of available values.

pattern:
    Specifies regular expression pattern of value. (Uses re.match() )
    pattern rule works in map to validate keys, it is usefull when allowempty is set to True.
    Pattern also works on all scalar types.

range:
    Range of value between max/max-ex and min/min-ex.
    'max' means 'max-inclusive'. (a > b)
    'min' means 'min-inclusive'. (a < b)
    'max-ex' means 'max-exclusive'. (a >= b)
    'min-ex' means 'min-exclusive'. (a <= b)
    Type seq, map, bool and any are not available with range

length:
    Range of length of value between max/max-ex and min/min-ex. Only type str and text are available with length

unique:
    Value is unique for mapping or sequence. This is similar to unique constraint of RDBMS

name:
    Name of schema.

desc:
    Description. This is not used for validation.

allowempty:
    NOTE: Experimental feature!
    Only applies to map. It enables a dict to have items in it that is not validated. It can be combined with mapping to check for some fixed properties but still validate if any random properties exists. See example testfile 18a, 18b, 19a, 19b.

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Added some features')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request

License

MIT.