def test_array_field_to_schema():
items_mock = fields.StringField()
additional_items_mock = fields.DictField()
f = fields.ArrayField(items_mock)
assert f.get_definitions_and_schema() == ({}, {
'type': 'array',
'items': items_mock.get_schema(),
})
expected_items = [
('type', 'array'),
('id', 'test'),
('title', 'Array'),
('items', items_mock.get_schema()),
('additionalItems', additional_items_mock.get_schema()),
('minItems', 0),
('maxItems', 10),
('uniqueItems', True),
]
f = fields.ArrayField(items_mock,
id='test',
title='Array',
min_items=0,
max_items=10,
unique_items=True,
additional_items=additional_items_mock)
assert f.get_definitions_and_schema() == ({}, dict(expected_items))
definitions, ordered_schema = f.get_definitions_and_schema(ordered=True)
assert isinstance(ordered_schema, OrderedDict)
assert ordered_schema == OrderedDict(expected_items)
f = fields.ArrayField(items_mock, additional_items=True)
assert f.get_definitions_and_schema() == ({}, {
'type': 'array',
'items': items_mock.get_schema(),
'additionalItems': True,
})
f = fields.ArrayField(items_mock, additional_items=additional_items_mock)
assert f.get_definitions_and_schema() == ({}, {
'type':
'array',
'items':
items_mock.get_schema(),
'additionalItems':
additional_items_mock.get_schema(),
})
item_1_mock = fields.NumberField()
item_2_mock = fields.ArrayField(fields.StringField())
f = fields.ArrayField([item_1_mock, item_2_mock])
assert f.get_definitions_and_schema() == ({}, {
'type':
'array',
'items': [item_1_mock.get_schema(),
item_2_mock.get_schema()],
})
def test_array_field_to_schema():
s_f = fields.StringField()
d_f = fields.DictField()
f = fields.ArrayField(s_f)
definitions, schema = f.get_definitions_and_schema()
assert normalize(schema) == {
'type': 'array',
'items': s_f.get_schema(),
}
expected_items = [
('type', 'array'),
('id', 'test'),
('title', 'Array'),
('items', s_f.get_schema()),
('additionalItems', d_f.get_schema()),
('minItems', 0),
('maxItems', 10),
('uniqueItems', True),
]
f = fields.ArrayField(s_f,
id='test',
title='Array',
min_items=0,
max_items=10,
unique_items=True,
additional_items=d_f)
definitions, schema = f.get_definitions_and_schema()
assert normalize(schema) == dict(expected_items)
definitions, ordered_schema = f.get_definitions_and_schema(ordered=True)
assert isinstance(ordered_schema, OrderedDict)
assert normalize(ordered_schema) == OrderedDict(expected_items)
f = fields.ArrayField(s_f, additional_items=True)
definitions, schema = f.get_definitions_and_schema()
assert normalize(schema) == {
'type': 'array',
'items': s_f.get_schema(),
'additionalItems': True,
}
f = fields.ArrayField(s_f, additional_items=d_f)
definitions, schema = f.get_definitions_and_schema()
assert normalize(schema) == {
'type': 'array',
'items': s_f.get_schema(),
'additionalItems': d_f.get_schema(),
}
n_f = fields.NumberField()
a_f = fields.ArrayField(fields.StringField())
f = fields.ArrayField([n_f, a_f])
definitions, schema = f.get_definitions_and_schema()
assert normalize(schema) == {
'type': 'array',
'items': [n_f.get_schema(), a_f.get_schema()],
}
def test_dict_field_walk():
aa = fields.StringField()
a = fields.DictField(properties={'aa': aa})
bb = fields.StringField()
b = fields.DictField(properties={'bb': bb})
cc = fields.StringField()
c = fields.DictField(properties={'cc': cc})
dd = fields.StringField()
d = fields.DictField(properties={'dd': dd})
dict_field = fields.DictField(properties={
'a': a,
'b': b,
},
pattern_properties={
'c': c,
},
additional_properties=d)
path = list(dict_field.walk())
expected_path_1 = [dict_field, a, aa, b, bb, c, cc, d, dd]
expected_path_2 = [dict_field, b, bb, a, aa, c, cc, d, dd]
assert path == expected_path_1 or path == expected_path_2
def test_array_field_walk():
aa = fields.StringField()
a = fields.DictField(properties={'aa': aa})
b = fields.StringField()
c = fields.StringField()
array_field = fields.ArrayField((a, b), additional_items=c)
path = list(array_field.walk())
expected_path = [array_field, a, aa, b, c]
assert path == expected_path
array_field = fields.ArrayField(a, additional_items=False)
path = list(array_field.walk())
expected_path = [array_field, a, aa]
assert path == expected_path
class ParentTwo(Document):
b = fields.DictField()
class Options:
b = 2
d = 2
def test_dict_field_to_schema():
f = fields.DictField(title='Hey!', enum=[{'x': 1}, {'y': 2}])
assert f.get_definitions_and_schema() == ({}, {
'type': 'object',
'enum': [
{
'x': 1
},
{
'y': 2
},
],
'title': 'Hey!',
})
check_field_schema(f)
a_field_mock = fields.StringField()
b_field_mock = fields.BooleanField()
c_field_mock = fields.EmailField()
f = fields.DictField(properties={
'a': a_field_mock,
'b': b_field_mock,
},
pattern_properties={
'c*': c_field_mock,
},
min_properties=5,
max_properties=10)
assert f.get_definitions_and_schema() == ({}, {
'type': 'object',
'properties': {
'a': a_field_mock.get_schema(),
'b': b_field_mock.get_schema(),
},
'patternProperties': {
'c*': c_field_mock.get_schema(),
},
'minProperties': 5,
'maxProperties': 10,
})
additional_prop_field_mock = fields.OneOfField(
(fields.StringField(), fields.NumberField()))
f = fields.DictField(additional_properties=additional_prop_field_mock)
assert f.get_definitions_and_schema() == ({}, {
'type':
'object',
'additionalProperties':
additional_prop_field_mock.get_schema(),
})
f = fields.DictField(additional_properties=False)
assert f.get_schema()['additionalProperties'] is False
f = fields.DictField(pattern_properties={'(': fields.StringField()})
with pytest.raises(ValueError) as e:
f.get_definitions_and_schema()
assert str(e.value) == 'Invalid regular expression: unbalanced parenthesis'
# test nested required fields
f = fields.DictField(properties={
'a': fields.StringField(required=True),
},
pattern_properties={
'c*': fields.StringField(required=True),
})
assert f.get_definitions_and_schema() == ({}, {
'type': 'object',
'properties': {
'a': {
'type': 'string'
},
},
'patternProperties': {
'c*': {
'type': 'string'
},
},
'required': ['a'],
})
check_field_schema(f)
def test_dict_field_to_schema():
f = fields.DictField(title='Hey!', enum=[{'x': 1}, {'y': 2}])
definitions, schema = f.get_definitions_and_schema()
assert s(schema) == {
'type': 'object',
'enum': [
{'x': 1},
{'y': 2},
],
'title': 'Hey!',
}
a_field_mock = fields.StringField()
b_field_mock = fields.BooleanField()
c_field_mock = fields.EmailField()
f = fields.DictField(properties={
'a': a_field_mock,
'b': b_field_mock,
}, pattern_properties={
'c*': c_field_mock,
}, min_properties=5, max_properties=10)
definitions, schema = f.get_definitions_and_schema()
assert s(schema) == {
'type': 'object',
'properties': {
'a': a_field_mock.get_schema(),
'b': b_field_mock.get_schema(),
},
'patternProperties': {
'c*': c_field_mock.get_schema(),
},
'minProperties': 5,
'maxProperties': 10,
}
additional_prop_field_mock = fields.OneOfField(
(fields.StringField(), fields.NumberField()))
f = fields.DictField(additional_properties=additional_prop_field_mock)
definitions, schema = f.get_definitions_and_schema()
assert s(schema) == s({
'type': 'object',
'additionalProperties': additional_prop_field_mock.get_schema(),
})
f = fields.DictField(additional_properties=False)
assert f.get_schema()['additionalProperties'] is False
# test nested required fields and make sure that field names
# do not override property names
f = fields.DictField(properties={
'a': fields.StringField(name='A', required=True),
}, pattern_properties={
'c*': fields.StringField(name='C', required=True),
})
definitions, schema = f.get_definitions_and_schema()
assert s(schema) == s({
'type': 'object',
'properties': {
'a': {'type': 'string'},
},
'patternProperties': {
'c*': {'type': 'string'},
},
'required': ['a'],
})