Parseable Templates for Python.
pat uses standard Python templates to parse data from strings. pat aims to use common sense while also supporting as much of the string template specification as possible. It supports both numbered and named fields and performs type conversion for all field type specifiers.
>>> import pat
>>> project = pat.compile('{mount}/{project}')
>>> project.format(mount='/mnt/projects', project='My_Project')
'/mnt/projects/My_Project'
>>> project.parse('/mnt/projects/My_Project')
{'mount': '/mnt/projects', 'project': 'My_Project'}
pat converts a template string into a regex with named capture groups based on it's field names and type specifiers. The regex is used to retrieve data from a string. Finally each bit of data retrieved is converted to the type described by the field's spec.
>>> floaty = pat.compile('{:0.2f}')
>>> floaty.regex
'(?P<POS0>[-+]?\d*\.?\d+)'
>>> floaty.parse('100.10')
{0: 100.10}