You may use schema (PyPi Link)

schema is a library for validating Python data structures, such as those obtained from config-files, forms, external services or command-line parsing, converted from JSON/YAML (or something else) to Python data-types.

from schema import Schema, And, Use, Optional, SchemaError

def check(conf_schema, conf):
    try:
        conf_schema.validate(conf)
        return True
    except SchemaError:
        return False

conf_schema = Schema({
    'version': And(Use(int)),
    'info': {
        'conf_one': And(Use(float)),
        'conf_two': And(Use(str)),
        'conf_three': And(Use(bool)),
        Optional('optional_conf'): And(Use(str))
    }
})

conf = {
    'version': 1,
    'info': {
        'conf_one': 2.5,
        'conf_two': 'foo',
        'conf_three': False,
        'optional_conf': 'bar'
    }
}

print(check(conf_schema, conf))

So, I guess I have some learning to do with regards to reading docs. So in the schema docs for Or they have an only_one option but I was unsure how this works however it seems that you need to specify it as an argument when you're calling or for it to work.

from schema import Schema, Or
test_schema = Schema({Or("fist", "schema", only_one=True): str, "second": int})
test_validate = {"first": "test", "schema": "check", "second": 15}

Then I'll get a error raised saying multiple keys are present. I'll take this as a lesson learned that I still have al ot to learn in about programming documentation even though I've been doing this off and on for about over 2 years now :).