configobj.ConfigObj.validate

ConfigObj.validate(validator, preserve_errors=False, copy=False, section=None)

Test the ConfigObj against a configspec.

It uses the validator object from validate.py.

To run validate on the current ConfigObj, call:

test = config.validate(validator)

(Normally having previously passed in the configspec when the ConfigObj was created - you can dynamically assign a dictionary of checks to the configspec attribute of a section though).

It returns True if everything passes, or a dictionary of pass/fails (True/False). If every member of a subsection passes, it will just have the value True. (It also returns False if all members fail).

In addition, it converts the values from strings to their native types if their checks pass (and stringify is set).

If preserve_errors is True (False is default) then instead of a marking a fail with a False, it will preserve the actual exception object. This can contain info about the reason for failure. For example the VdtValueTooSmallError indicates that the value supplied was too small. If a value (or section) is missing it will still be marked as False.

You must have the validate module to use preserve_errors=True.

You can then use the flatten_errors function to turn your nested results dictionary into a flattened list of failures - useful for displaying meaningful error messages.

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