def test_schema_infer_dict():
schema = Schema.infer({'a': {'b': {'c': 'foo'}}})
assert_equal(
schema, Schema({Required('a'): {
Required('b'): {
Required('c'): str
}
}}))
def test_schema_infer_scalar():
assert_equal(Schema.infer('foo'), Schema(str))
assert_equal(Schema.infer(True), Schema(bool))
assert_equal(Schema.infer(42), Schema(int))
assert_equal(Schema.infer(3.14), Schema(float))
assert_equal(Schema.infer({}), Schema(dict))
assert_equal(Schema.infer([]), Schema(list))
def test_schema_infer():
schema = Schema.infer({
'str': 'foo',
'bool': True,
'int': 42,
'float': 3.14
})
assert_equal(
schema,
Schema({
Required('str'): str,
Required('bool'): bool,
Required('int'): int,
Required('float'): float
}))
def test_schema_infer_accepts_kwargs():
schema = Schema.infer({
'str': 'foo',
'bool': True
},
required=False,
extra=True)
# Subset of schema should be acceptable thanks to required=False.
schema({'bool': False})
# Keys that are in schema should still match required types.
try:
schema({'str': 42})
except Invalid:
pass
else:
assert False, 'Did not raise Invalid for Number'
# Extra fields should be acceptable thanks to extra=True.
schema({'str': 'bar', 'int': 42})
def test_schema_infer_list():
schema = Schema.infer({'list': ['foo', True, 42, 3.14]})
assert_equal(schema, Schema({Required('list'): [str, bool, int, float]}))