def test_modelresolver__get_object_lang_type(schema, result):
resolver = ModelResolver({})
resolved_type = resolver._get_object_lang_type(schema)
assert resolved_type.container == ContainerType.DICT
item_type = resolved_type.type
assert item_type.container == ContainerType.PRIMITIVE
assert item_type.type == result
def test_modelresolver__schema_to_lang_type_undef():
# see test_modelresolver__get_object_lang_type_no_item_type
resolver = ModelResolver({})
resolved_type = resolver._schema_to_lang_type({})
assert resolved_type.container == ContainerType.DICT
item_type = resolved_type.type
assert item_type.container == ContainerType.PRIMITIVE
assert item_type.type == UNDEFINED
def test_modelresolver__schema_to_lang_type_array():
# see test_modelresolver__get_array_lang_type_no_item_type
resolver = ModelResolver({})
resolved_type = resolver._schema_to_lang_type({"type": "array"})
assert resolved_type.container == ContainerType.LIST
item_type = resolved_type.type
assert item_type.container == ContainerType.PRIMITIVE
assert item_type.type == UNDEFINED
def test_modelresolver__schema_to_lang_type_primitive_nondefault_format():
resolver = ModelResolver({})
resolved_type = resolver._schema_to_lang_type({
"type": "integer",
"format": "int64"
})
assert resolved_type.container == ContainerType.PRIMITIVE
assert resolved_type.type == "integer"
assert resolved_type.type_format == "int64"
def test_modelresolver__schema_to_lang_type_object():
# see test_modelresolver__get_object_lang_type_no_item_type
resolver = ModelResolver({})
resolved_type = resolver._schema_to_lang_type({"type": "object"})
assert resolved_type.container == ContainerType.DICT
item_type = resolved_type.type
assert item_type.container == ContainerType.PRIMITIVE
assert item_type.type == UNDEFINED
assert item_type.type_format == FORMAT_DEFAULT
def test_modelresolver_unique_model_name():
unique = {
"type": "object",
"properties": {
"foo": {
"type": "string"
},
"bar": {
"type": "integer"
}
},
}
flattened = {
(): {
"definitions": {
"Unique": unique
},
"properties": {
"Unique": {
"$ref": ("definitions", "Unique")
}
},
},
("definitions", "Unique"): unique,
}
resolver = ModelResolver(flattened)
assert resolver._models == {
(): "ResourceModel",
("definitions", "Unique"): "Unique",
}
models = resolver.resolve_models()
assert models == {
"ResourceModel": {
"Unique": ResolvedType(ContainerType.MODEL, "Unique")
},
"Unique": {
"foo": ResolvedType(ContainerType.PRIMITIVE, "string"),
"bar": ResolvedType(ContainerType.PRIMITIVE, "integer"),
},
}
def test_modelresolver_duplicate_model_name():
flattened = {
(): {
"properties": {
"ResourceModel": {
"type": "object"
}
}
},
("properties", "ResourceModel"): {
"type": "object"
},
}
with pytest.raises(ModelResolverError) as excinfo:
ModelResolver(flattened)
assert "ResourceModel" in str(excinfo.value)
def test_modelresolver__schema_to_lang_type_multiple():
resolver = ModelResolver({})
resolved_type = resolver._schema_to_lang_type({"type": ["string"]})
assert resolved_type.container == ContainerType.MULTIPLE
assert resolved_type.type == "multiple"
def test_modelresolver__schema_to_lang_type_primitive():
resolver = ModelResolver({})
resolved_type = resolver._schema_to_lang_type({"type": "string"})
assert resolved_type.container == ContainerType.PRIMITIVE
assert resolved_type.type == "string"
def test_modelresolver_empty_ref_path_results_in_model_name():
flattened = {(): {"properties": {"foo": {"type": "string"}}}}
resolver = ModelResolver(flattened, "ResourceModel")
assert resolver._models == {(): "ResourceModel"}
def test_modelresolver__schema_to_lang_type_ref():
resolver = ModelResolver({(): {}})
assert resolver._models == {(): "ResourceModel"}
resolved_type = resolver._schema_to_lang_type({"$ref": ()})
assert resolved_type.container == ContainerType.MODEL
assert resolved_type.type == "ResourceModel"
def test_modelresolver__get_primitive_lang_type():
sentinel = object()
resolved_type = ModelResolver._get_primitive_lang_type(sentinel)
assert resolved_type.container == ContainerType.PRIMITIVE
assert resolved_type.type is sentinel
def test_modelresolver__get_array_container_type(schema, result):
container_type = ModelResolver._get_array_container_type(schema)
assert container_type == result
def test_modelresolver__schema_to_lang_duplicatetype():
resolver = ModelResolver({})
resolved_type = resolver._schema_to_lang_type(
{"type": ["string", "string"]})
assert resolved_type.container == ContainerType.PRIMITIVE
assert resolved_type.type == "string"
def test_modelresolver__get_primitive_lang_type():
sentinel = object()
resolved_type = ModelResolver._get_primitive_lang_type(sentinel, {})
assert resolved_type.container == ContainerType.PRIMITIVE
assert resolved_type.type is sentinel
assert resolved_type.type_format == FORMAT_DEFAULT