def test_list_of_types_schema():
schema_in = {'type': ['number', 'string']}
schema_out = to_voluptuous(schema_in)
for target in (
-1,
-0,
0,
1,
1.5,
float('inf'),
float('+inf'),
float('-inf'),
float('NaN'),
"",
"a",
"123",
"0",
"asdfadsfasdfasdfdsf",
"Déjà vu",
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
None,
{},
[],
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_schema_with_any_of():
schema_in = {
'anyOf': [
{
'type': 'string'
},
{
'type': 'integer'
},
]
}
schema_out = to_voluptuous(schema_in)
for target in (
'a',
1,
'abdc',
1234,
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
[],
[1],
['a'],
None,
{},
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_schema_with_all_of():
schema_in = {
'allOf': [
{
'type': 'string'
},
{
'maxLength': 5
},
]
}
schema_out = to_voluptuous(schema_in)
for target in (
'',
'a',
'ab',
'abcde',
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
'abcdef',
'abcdefg',
1234,
12345,
[],
[1],
['a'],
None,
{},
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def check_conversion(schema_in, accepted_targets, unaccepted_targets):
schema_out = to_voluptuous(schema_in)
for target in accepted_targets:
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in unaccepted_targets:
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_array_schema_with_items_list():
# This form validates an _ordered_ array. The n-th schema in `items` must
# validate the n-th element in the target being validated.
#
# However, it is also valid to have extra items at the end of the array.
schema_in = {
'type': 'array',
'items': [{
'type': 'number'
}, {
'type': 'string'
}],
}
schema_out = to_voluptuous(schema_in)
for target in (
[],
[1],
[1.5],
[1, 'abc'],
[1, 'abc', 'abc'],
[1.5, 'abc', 1],
[1, 'abc', {}],
[1, 'abc', []],
[1, 'abc', False, None, {}, 'asdf'],
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
['abc'],
['abc', 1],
[1, 1],
[[]],
[{}],
[None],
['abc'],
[[False]],
{},
False,
True,
0,
3.14,
'abc',
tuple(),
(1, ),
(1.5, ),
(1, 'abc'),
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_null_schema():
schema_in = {'type': 'null'}
schema_out = to_voluptuous(schema_in)
for target in (None, ):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
{},
[],
'',
0,
False,
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_array_schema_with_items():
schema_in = {
'type': 'array',
'items': {
'type': 'boolean',
},
}
schema_out = to_voluptuous(schema_in)
for target in (
[],
[False],
[True],
[False, False, False],
[False, True, False, True],
[True, True, True],
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
[False, 1],
[False, False, False, False, 'a', False],
[1],
[1.5],
['abc'],
[[]],
[[False]],
{},
False,
True,
0,
3.14,
'abc',
# note: jsonschema will not validate python tuples as arrays, while
# voluptuous will. I did not see an obvious way to enforce this,
# but JSON arrays are typically lists anyway.
# tuple(),
# (False,),
# (True,),
# (False, False, False),
# (True, True, True),
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_array_with_min_and_max_items_and_items_list():
schema_in = {
'type': 'array',
'items': [{
'type': 'integer'
}, {
'type': 'string'
}, {
'type': 'boolean'
}],
'minItems': 1,
'maxItems': 4,
}
schema_out = to_voluptuous(schema_in)
for target in (
[1],
[2, 'a'],
[3, '', True],
[0, 'b', False, 0],
[-1, 'abc', True, 'b'],
[-2, 'Déjà vu', False, {
'a': 1
}],
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
[],
[1, 2, 3, 4, 5, 6],
[1, 2, 3, 4, 5, 6, 7],
[1, 2, 'b'],
[1, 2, 'c', 4],
[1, 'd', 3, 4, 5],
1,
'a',
'aasdfadf',
None,
False,
{},
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_string_schema():
schema_in = {'type': 'string'}
schema_out = to_voluptuous(schema_in)
for target in (
"",
"a",
"123",
"0",
"asdfadsfasdfasdfdsf",
"Déjà vu",
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
1,
None,
False,
{},
[],
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_boolean_schema():
schema_in = {'type': 'boolean'}
schema_out = to_voluptuous(schema_in)
for target in (
False,
True,
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
"true",
"false",
0,
1,
'',
'abc',
None,
{},
[],
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_array_schema():
schema_in = {'type': 'array'}
schema_out = to_voluptuous(schema_in)
for target in (
[],
[1],
[[]],
[1, 2, 3],
['a', 1, None],
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
{},
None,
1,
'asd',
1.5,
False,
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_array_with_min_and_max_items():
schema_in = {
'type': 'array',
'items': {
'type': 'integer'
},
'minItems': 2,
'maxItems': 5,
}
schema_out = to_voluptuous(schema_in)
for target in (
[1, 2],
[1, 2, 3],
[1, 2, 3, 4],
[1, 2, 3, 4, 5],
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
[],
[1],
[1, 2, 3, 4, 5, 6],
[1, 2, 3, 4, 5, 6, 7],
[1, 'a'],
[1, 2, 'b'],
[1, 2, 'c', 4],
[1, 'd', 3, 4, 5],
1,
'a',
None,
False,
{},
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
def test_type_array_with_items_list_and_additional_items_false():
schema_in = {
'type': 'array',
'items': [{
'type': 'boolean'
}, {
'type': 'integer'
}],
'additionalItems': False,
}
schema_out = to_voluptuous(schema_in)
for target in (
[],
[True],
[False],
[True, 1],
[False, 2],
):
check_jsonschema_validation(schema_in, target, should_validate=True)
check_voluptuous_validation(schema_out, target, should_validate=True)
for target in (
[True, 1, 2],
[True, 3, True],
[True, 5, False],
[True, 5, []],
[True, 5, 'a', 'b', 'c'],
[True, 5, 1, 2, 3],
1,
'a',
None,
False,
{},
):
check_jsonschema_validation(schema_in, target, should_validate=False)
check_voluptuous_validation(schema_out, target, should_validate=False)
