Cerberus coercion within nested list

Question

I get unexpected behaviour for the following code:

import cerberus
v = cerberus.Validator()
schema = {'list_of_values': {'type': 'list',
                             'schema': {'items': [{'type': 'string', 'coerce': str},
                                                  {'type': 'integer', 'coerce': int}]}}
                             }
document = {'list_of_values': [['hello', 100], [123, "122"]]}
v.validate(document, schema)
v.errors

I am expecting to have no errors, as the coercion should take care of the types. But I am getting

{'list_of_values': [{1: [{0: ['must be of string type'],
     1: ['must be of integer type']}]}]}

Is this a bug? Am I misunderstanding how the coercion works?

@funky-future: I just ran the same code again, and I'm getting the same validation errors. Python 3.7 and cerberus 1.2 Ubuntu 16.04 What might be the reason that I encounter it and you don't? — user9621577, Jan 06 '19 at 00:48
if you can reproduce it with a test, please submit it with a pull request. — funky-future, Jan 07 '19 at 12:18
@funky-future I can reproduce the issue, I lack the project knowledge to submit a failing test for this. — Pedro Rodrigues, Mar 15 '19 at 12:48

Pedro Rodrigues · Answer 1 · 2019-03-15T12:52:59.760

@funky-future

Something not right on your end, I can indeed reproduce the problem just by copy paste the example into the prompt:

>>> import cerberus
>>> v = cerberus.Validator()
>>> schema = {'list_of_values': {'type': 'list',
...                              'schema': {'items': [{'type': 'string', 'coerce': str},
...                                                   {'type': 'integer', 'coerce': int}]}}
...                              }
>>> document = {'list_of_values': [['hello', 100], [123, "122"]]}
>>> v.validate(document, schema)
False
>>> v.errors
{'list_of_values': [{1: [{0: ['must be of string type'], 1: ['must be of integer type']}]}]}

Python3.5.2, cerberus1.2

Cerberus coercion within nested list

1 Answers1