def test_schema_with_nested_object(self):
data = {
"ModelName": {
"properties": {
"foo": {
"properties": {
"bar": {
"type": "string",
},
},
"type": "object",
},
},
"type": "object",
},
}
parser = schemas.SchemaParser(data)
result = parser.model_defs
expected = {
"ModelName":
textwrap.dedent('''
class ModelName(pydantic.BaseModel):
foo: "_foo"
''').lstrip(),
"_foo":
textwrap.dedent('''
class _foo(pydantic.BaseModel):
bar: str
''').lstrip(),
}
assert result == expected
def test_schema_with_string_property(self):
data = {
"ModelName": {
"properties": {
"foo": {
"type": "string",
},
},
"type": "object",
},
}
parser = schemas.SchemaParser(data)
result = parser.model_defs
expected = textwrap.dedent('''
class ModelName(pydantic.BaseModel):
foo: str
''').lstrip()
assert result["ModelName"] == expected
def test_schema_description_is_docstring(self):
data = {
"ModelName": {
"description": "A ModelName instance.",
"properties": {
"foo": {
"type": "string",
},
},
"type": "object",
},
}
parser = schemas.SchemaParser(data)
result = parser.model_defs
expected = textwrap.dedent('''
class ModelName(pydantic.BaseModel):
"""A ModelName instance."""
foo: str
''').lstrip()
assert result["ModelName"] == expected
def test_schema_with_array_of_objects(self):
data = {
"ModelName": {
"properties": {
"foo": {
"items": {
"$ref": "OtherName",
},
"type": "array",
},
},
"type": "object",
},
}
parser = schemas.SchemaParser(data)
result = parser.model_defs
expected = textwrap.dedent('''
class ModelName(pydantic.BaseModel):
foo: List["OtherName"]
''').lstrip()
assert result["ModelName"] == expected
