bundles / astropy latest / astropy / extern / configobj / validate / Validator
class
astropy.extern.configobj.validate:Validator
source: /astropy/extern/configobj/validate.py :472
Signature
class Validator ( functions = None ) Members
-
__init__ -
_check_value -
_handle_none -
_list_handle -
_parse_check -
_parse_with_caching -
_pass -
_unquote -
get_default_value
Summary
Validator is an object that allows you to register a set of 'checks'. These checks take input and test that it conforms to the check.
Extended Summary
This can also involve converting the value from a string into the correct datatype.
The check method takes an input string which configures which check is to be used and applies that check to a supplied value.
An example input string would be: 'int_range(param1, param2)'
You would then provide something like:
>>> def int_range_check(value, min, max): ... # turn min and max from strings to integers ... min = int(min) ... max = int(max) ... # check that value is of the correct type. ... # possible valid inputs are integers or strings ... # that represent integers ... if not isinstance(value, (int, long, string_type)): ... raise VdtTypeError(value) ... elif isinstance(value, string_type): ... # if we are given a string ... # attempt to convert to an integer ... try: ... value = int(value) ... except ValueError: ... raise VdtValueError(value) ... # check the value is between our constraints ... if not min <= value: ... raise VdtValueTooSmallError(value) ... if not value <= max: ... raise VdtValueTooBigError(value) ... return value
>>> fdict = {'int_range': int_range_check} >>> vtr1 = Validator(fdict) >>> vtr1.check('int_range(20, 40)', '30') 30 >>> vtr1.check('int_range(20, 40)', '60') Traceback (most recent call last): VdtValueTooBigError: the value "60" is too big.
New functions can be added with >>> vtr2 = Validator() >>> vtr2.functions['int_range'] = int_range_check
Or by passing in a dictionary of functions when Validator is instantiated.
Your functions can use keyword arguments, but the first argument should always be 'value'.
If the function doesn't take additional arguments, the parentheses are optional in the check. It can be written with either of :
keyword = function_name keyword = function_name()
The first program to utilise Validator() was Michael Foord's ConfigObj, an alternative to ConfigParser which supports lists and can validate a config file using a config schema. For more details on using Validator with ConfigObj see: https://configobj.readthedocs.org/en/latest/configobj.html
Aliases
-
astropy.config.configuration.validate.Validator