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test_openapi.py
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1496 lines (1297 loc) · 59.2 KB
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from unittest.mock import MagicMock
import pydantic
import pytest
import openapi_python_client.schema as oai
from openapi_python_client import Config, GeneratorError
from openapi_python_client.parser.errors import ParseError
from openapi_python_client.parser.openapi import Endpoint, EndpointCollection
from openapi_python_client.parser.properties import IntProperty, Parameters, Schemas
from openapi_python_client.schema import ParameterLocation
MODULE_NAME = "openapi_python_client.parser.openapi"
class TestGeneratorData:
def test_from_dict(self, mocker, model_property_factory, enum_property_factory):
from openapi_python_client.parser.properties import Schemas
build_schemas = mocker.patch(f"{MODULE_NAME}.build_schemas")
build_parameters = mocker.patch(f"{MODULE_NAME}.build_parameters")
EndpointCollection = mocker.patch(f"{MODULE_NAME}.EndpointCollection")
schemas = mocker.MagicMock()
schemas.classes_by_name = {
"Model": model_property_factory(),
"Enum": enum_property_factory(),
}
parameters = Parameters()
endpoints_collections_by_tag = mocker.MagicMock()
EndpointCollection.from_data.return_value = (endpoints_collections_by_tag, schemas, parameters)
OpenAPI = mocker.patch(f"{MODULE_NAME}.oai.OpenAPI")
openapi = OpenAPI.model_validate.return_value
openapi.openapi = mocker.MagicMock(major=3)
config = mocker.MagicMock()
in_dict = mocker.MagicMock()
from openapi_python_client.parser.openapi import GeneratorData
generator_data = GeneratorData.from_dict(in_dict, config=config)
OpenAPI.model_validate.assert_called_once_with(in_dict)
build_schemas.assert_called_once_with(components=openapi.components.schemas, config=config, schemas=Schemas())
build_parameters.assert_called_once_with(
components=openapi.components.parameters,
parameters=parameters,
config=config,
)
EndpointCollection.from_data.assert_called_once_with(
data=openapi.paths,
schemas=build_schemas.return_value,
parameters=build_parameters.return_value,
config=config,
)
assert generator_data.title == openapi.info.title
assert generator_data.description == openapi.info.description
assert generator_data.version == openapi.info.version
assert generator_data.endpoint_collections_by_tag == endpoints_collections_by_tag
assert generator_data.errors == schemas.errors + parameters.errors
assert list(generator_data.models) == [schemas.classes_by_name["Model"]]
assert list(generator_data.enums) == [schemas.classes_by_name["Enum"]]
# Test no components
openapi.components = None
build_schemas.reset_mock()
build_parameters.reset_mock()
GeneratorData.from_dict(in_dict, config=config)
build_schemas.assert_not_called()
build_parameters.assert_not_called()
def test_from_dict_invalid_schema(self, mocker):
Schemas = mocker.patch(f"{MODULE_NAME}.Schemas")
config = mocker.MagicMock()
in_dict = {}
from openapi_python_client.parser.openapi import GeneratorData
generator_data = GeneratorData.from_dict(in_dict, config=config)
assert isinstance(generator_data, GeneratorError)
assert generator_data.header == "Failed to parse OpenAPI document"
keywords = ["3 validation errors for OpenAPI", "info", "paths", "openapi", "Field required"]
assert generator_data.detail and all(keyword in generator_data.detail for keyword in keywords)
Schemas.build.assert_not_called()
Schemas.assert_not_called()
def test_swagger_document_invalid_schema(self, mocker):
Schemas = mocker.patch(f"{MODULE_NAME}.Schemas")
config = mocker.MagicMock()
in_dict = {"swagger": "2.0"}
from openapi_python_client.parser.openapi import GeneratorData
generator_data = GeneratorData.from_dict(in_dict, config=config)
assert isinstance(generator_data, GeneratorError)
assert generator_data.header == "Failed to parse OpenAPI document"
keywords = [
"You may be trying to use a Swagger document; this is not supported by this project.",
"info",
"paths",
"openapi",
"Field required",
]
assert generator_data.detail and all(keyword in generator_data.detail for keyword in keywords)
Schemas.build.assert_not_called()
Schemas.assert_not_called()
class TestEndpoint:
def make_endpoint(self):
from openapi_python_client.parser.openapi import Endpoint
return Endpoint(
path="path",
method="method",
description=None,
name="name",
requires_security=False,
tag="tag",
relative_imports={"import_3"},
)
def test_parse_request_form_body(self, mocker, model_property_factory):
from openapi_python_client.parser.properties import Class
schema = oai.Reference.model_construct(ref=mocker.MagicMock())
body = oai.RequestBody.model_construct(
content={"application/x-www-form-urlencoded": oai.MediaType.model_construct(media_type_schema=schema)}
)
class_info = Class(name="class_name", module_name="module_name")
prop_before = model_property_factory(class_info=class_info)
schemas_before = Schemas()
property_from_data = mocker.patch(
f"{MODULE_NAME}.property_from_data", return_value=(prop_before, schemas_before)
)
config = mocker.MagicMock()
from openapi_python_client.parser.openapi import Endpoint
result = Endpoint.parse_request_form_body(body=body, schemas=schemas_before, parent_name="name", config=config)
property_from_data.assert_called_once_with(
name="data", required=True, data=schema, schemas=schemas_before, parent_name="name", config=config
)
prop_after = model_property_factory(class_info=class_info)
schemas_after = Schemas(classes_by_name={class_info.name: prop_after})
assert result == (prop_after, schemas_after)
def test_parse_request_form_body_no_data(self):
body = oai.RequestBody.model_construct(content={})
config = MagicMock()
schemas = MagicMock()
from openapi_python_client.parser.openapi import Endpoint
result = Endpoint.parse_request_form_body(body=body, schemas=schemas, parent_name="name", config=config)
assert result == (None, schemas)
def test_parse_multipart_body(self, mocker, model_property_factory):
from openapi_python_client.parser.openapi import Endpoint, Schemas
from openapi_python_client.parser.properties import Class
class_info = Class(name="class_name", module_name="module_name")
prop_before = model_property_factory(class_info=class_info, is_multipart_body=False)
schema = mocker.MagicMock()
body = oai.RequestBody.model_construct(
content={"multipart/form-data": oai.MediaType.model_construct(media_type_schema=schema)}
)
schemas_before = Schemas()
config = MagicMock()
property_from_data = mocker.patch(
f"{MODULE_NAME}.property_from_data", return_value=(prop_before, schemas_before)
)
result = Endpoint.parse_multipart_body(body=body, schemas=schemas_before, parent_name="parent", config=config)
property_from_data.assert_called_once_with(
name="multipart_data",
required=True,
data=schema,
schemas=schemas_before,
parent_name="parent",
config=config,
)
prop_after = model_property_factory(class_info=class_info, is_multipart_body=True)
schemas_after = Schemas(classes_by_name={class_info.name: prop_after})
assert result == (prop_after, schemas_after)
def test_parse_multipart_body_existing_schema(self, mocker, model_property_factory):
from openapi_python_client.parser.openapi import Endpoint, Schemas
from openapi_python_client.parser.properties import Class
class_info = Class(name="class_name", module_name="module_name")
prop_before = model_property_factory(class_info=class_info, is_multipart_body=False)
schemas_before = Schemas(classes_by_name={class_info.name: prop_before})
schema = mocker.MagicMock()
body = oai.RequestBody.model_construct(
content={"multipart/form-data": oai.MediaType.model_construct(media_type_schema=schema)}
)
config = MagicMock()
property_from_data = mocker.patch(
f"{MODULE_NAME}.property_from_data", return_value=(prop_before, schemas_before)
)
result = Endpoint.parse_multipart_body(body=body, schemas=schemas_before, parent_name="parent", config=config)
property_from_data.assert_called_once_with(
name="multipart_data",
required=True,
data=schema,
schemas=schemas_before,
parent_name="parent",
config=config,
)
prop_after = model_property_factory(class_info=class_info, is_multipart_body=True)
schemas_after = Schemas(classes_by_name={class_info.name: prop_after})
assert result == (prop_after, schemas_after)
def test_parse_multipart_body_no_data(self):
from openapi_python_client.parser.openapi import Endpoint, Schemas
body = oai.RequestBody.model_construct(content={})
schemas = Schemas()
prop, schemas = Endpoint.parse_multipart_body(
body=body, schemas=schemas, parent_name="parent", config=MagicMock()
)
assert prop is None
@pytest.mark.parametrize(
"content_type",
(
"application/json",
"application/vnd.api+json",
"application/yang-data+json",
"application/json;charset=utf-8",
),
)
def test_parse_request_json_body(self, mocker, content_type):
from openapi_python_client.parser.openapi import Endpoint, Schemas
schema = mocker.MagicMock()
body = oai.RequestBody.model_construct(
content={content_type: oai.MediaType.model_construct(media_type_schema=schema)}
)
property_from_data = mocker.patch(f"{MODULE_NAME}.property_from_data")
schemas = Schemas()
config = MagicMock()
result = Endpoint.parse_request_json_body(body=body, schemas=schemas, parent_name="parent", config=config)
property_from_data.assert_called_once_with(
name="json_body", required=True, data=schema, schemas=schemas, parent_name="parent", config=config
)
assert result == property_from_data.return_value
def test_parse_request_json_body_no_data(self):
from openapi_python_client.parser.openapi import Endpoint, Schemas
body = oai.RequestBody.model_construct(content={})
schemas = Schemas()
result = Endpoint.parse_request_json_body(body=body, schemas=schemas, parent_name="parent", config=MagicMock())
assert result == (None, schemas)
def test_add_body_no_data(self, mocker):
from openapi_python_client.parser.openapi import Endpoint, Schemas
parse_request_form_body = mocker.patch.object(Endpoint, "parse_request_form_body")
endpoint = self.make_endpoint()
schemas = Schemas()
Endpoint._add_body(endpoint=endpoint, data=oai.Operation.model_construct(), schemas=schemas, config=MagicMock())
parse_request_form_body.assert_not_called()
def test_add_body_bad_json_data(self, mocker):
from openapi_python_client.parser.openapi import Endpoint, Schemas
schemas = Schemas()
mocker.patch.object(Endpoint, "parse_request_form_body", return_value=(None, schemas))
parse_error = ParseError(data=mocker.MagicMock(), detail=mocker.MagicMock())
other_schemas = mocker.MagicMock()
mocker.patch.object(Endpoint, "parse_request_json_body", return_value=(parse_error, other_schemas))
endpoint = self.make_endpoint()
request_body = mocker.MagicMock()
result = Endpoint._add_body(
endpoint=endpoint,
data=oai.Operation.model_construct(requestBody=request_body),
schemas=schemas,
config=MagicMock(),
)
assert result == (
ParseError(
header=f"Cannot parse JSON body of endpoint {endpoint.name}",
detail=parse_error.detail,
data=parse_error.data,
),
other_schemas,
)
def test_add_body_bad_form_data(self, enum_property_factory):
from openapi_python_client.parser.openapi import Endpoint, Schemas
schemas = Schemas(
errors=[ParseError(detail="existing error")],
)
endpoint = self.make_endpoint()
bad_schema = oai.Schema.model_construct(type=oai.DataType.ARRAY)
result = Endpoint._add_body(
endpoint=endpoint,
data=oai.Operation.model_construct(
requestBody=oai.RequestBody.model_construct(
content={
"application/x-www-form-urlencoded": oai.MediaType.model_construct(media_type_schema=bad_schema)
}
)
),
schemas=schemas,
config=Config(),
)
assert result == (
ParseError(
detail="type array must have items defined",
header="Cannot parse form body of endpoint name",
data=bad_schema,
),
schemas,
)
def test_add_body_bad_multipart_data(self, mocker):
from openapi_python_client.parser.openapi import Endpoint, Schemas
schemas = Schemas()
mocker.patch.object(Endpoint, "parse_request_form_body", return_value=(None, schemas))
mocker.patch.object(Endpoint, "parse_request_json_body", return_value=(mocker.MagicMock(), mocker.MagicMock()))
parse_error = ParseError(data=mocker.MagicMock(), detail=mocker.MagicMock())
other_schemas = mocker.MagicMock()
mocker.patch.object(Endpoint, "parse_multipart_body", return_value=(parse_error, other_schemas))
endpoint = self.make_endpoint()
request_body = mocker.MagicMock()
result = Endpoint._add_body(
endpoint=endpoint,
data=oai.Operation.model_construct(requestBody=request_body),
schemas=schemas,
config=MagicMock(),
)
assert result == (
ParseError(
header=f"Cannot parse multipart body of endpoint {endpoint.name}",
detail=parse_error.detail,
data=parse_error.data,
),
other_schemas,
)
def test_add_body_happy(self, mocker):
from openapi_python_client.parser.openapi import Endpoint
from openapi_python_client.parser.properties import Property
request_body = mocker.MagicMock()
config = mocker.MagicMock()
form_body = mocker.MagicMock(autospec=Property)
form_body_imports = mocker.MagicMock()
form_body.get_imports.return_value = {form_body_imports}
form_schemas = mocker.MagicMock()
parse_request_form_body = mocker.patch.object(
Endpoint, "parse_request_form_body", return_value=(form_body, form_schemas)
)
multipart_body = mocker.MagicMock(autospec=Property)
multipart_body_imports = mocker.MagicMock()
multipart_body.get_imports.return_value = {multipart_body_imports}
multipart_schemas = mocker.MagicMock()
parse_multipart_body = mocker.patch.object(
Endpoint, "parse_multipart_body", return_value=(multipart_body, multipart_schemas)
)
json_body = mocker.MagicMock(autospec=Property)
json_body_imports = mocker.MagicMock()
json_body.get_imports.return_value = {json_body_imports}
json_schemas = mocker.MagicMock()
parse_request_json_body = mocker.patch.object(
Endpoint, "parse_request_json_body", return_value=(json_body, json_schemas)
)
endpoint = self.make_endpoint()
initial_schemas = mocker.MagicMock()
(endpoint, response_schemas) = Endpoint._add_body(
endpoint=endpoint,
data=oai.Operation.model_construct(requestBody=request_body),
schemas=initial_schemas,
config=config,
)
assert response_schemas == multipart_schemas
parse_request_form_body.assert_called_once_with(
body=request_body, schemas=initial_schemas, parent_name="name", config=config
)
parse_request_json_body.assert_called_once_with(
body=request_body, schemas=form_schemas, parent_name="name", config=config
)
parse_multipart_body.assert_called_once_with(
body=request_body, schemas=json_schemas, parent_name="name", config=config
)
form_body.get_imports.assert_called_once_with(prefix="...")
json_body.get_imports.assert_called_once_with(prefix="...")
multipart_body.get_imports.assert_called_once_with(prefix="...")
assert endpoint.relative_imports == {"import_3", form_body_imports, json_body_imports, multipart_body_imports}
assert endpoint.json_body == json_body
assert endpoint.form_body == form_body
assert endpoint.multipart_body == multipart_body
@pytest.mark.parametrize("response_status_code", ["not_a_number", 499])
def test__add_responses_status_code_error(self, response_status_code, mocker):
from openapi_python_client.parser.openapi import Endpoint, Schemas
schemas = Schemas()
response_1_data = mocker.MagicMock()
data = {
response_status_code: response_1_data,
}
endpoint = self.make_endpoint()
parse_error = ParseError(data=mocker.MagicMock())
response_from_data = mocker.patch(f"{MODULE_NAME}.response_from_data", return_value=(parse_error, schemas))
config = MagicMock()
response, schemas = Endpoint._add_responses(endpoint=endpoint, data=data, schemas=schemas, config=config)
assert response.errors == [
ParseError(
detail=f"Invalid response status code {response_status_code} (not a valid HTTP status code), response will be ommitted from generated client"
)
]
response_from_data.assert_not_called()
def test__add_responses_error(self, mocker):
from openapi_python_client.parser.openapi import Endpoint, Schemas
schemas = Schemas()
response_1_data = mocker.MagicMock()
response_2_data = mocker.MagicMock()
data = {
"200": response_1_data,
"404": response_2_data,
}
endpoint = self.make_endpoint()
parse_error = ParseError(data=mocker.MagicMock(), detail="some problem")
response_from_data = mocker.patch(f"{MODULE_NAME}.response_from_data", return_value=(parse_error, schemas))
config = MagicMock()
response, schemas = Endpoint._add_responses(endpoint=endpoint, data=data, schemas=schemas, config=config)
response_from_data.assert_has_calls(
[
mocker.call(status_code=200, data=response_1_data, schemas=schemas, parent_name="name", config=config),
mocker.call(status_code=404, data=response_2_data, schemas=schemas, parent_name="name", config=config),
]
)
assert response.errors == [
ParseError(
detail=f"Cannot parse response for status code 200 (some problem), "
"response will be ommitted from generated client",
data=parse_error.data,
),
ParseError(
detail=f"Cannot parse response for status code 404 (some problem), "
"response will be ommitted from generated client",
data=parse_error.data,
),
]
def test__add_responses(self, mocker, date_time_property_factory, date_property_factory):
from openapi_python_client.parser.openapi import Endpoint, Response
response_1_data = mocker.MagicMock()
response_2_data = mocker.MagicMock()
data = {
"200": response_1_data,
"404": response_2_data,
}
endpoint = self.make_endpoint()
schemas = mocker.MagicMock()
schemas_1 = mocker.MagicMock()
schemas_2 = mocker.MagicMock()
response_1 = Response(
status_code=200,
source="source",
prop=date_time_property_factory(name="datetime"),
)
response_2 = Response(
status_code=404,
source="source",
prop=date_property_factory(name="date"),
)
response_from_data = mocker.patch(
f"{MODULE_NAME}.response_from_data", side_effect=[(response_1, schemas_1), (response_2, schemas_2)]
)
config = MagicMock()
endpoint, response_schemas = Endpoint._add_responses(
endpoint=endpoint, data=data, schemas=schemas, config=config
)
response_from_data.assert_has_calls(
[
mocker.call(status_code=200, data=response_1_data, schemas=schemas, parent_name="name", config=config),
mocker.call(
status_code=404, data=response_2_data, schemas=schemas_1, parent_name="name", config=config
),
]
)
assert endpoint.responses == [response_1, response_2]
assert endpoint.relative_imports == {
"from dateutil.parser import isoparse",
"from typing import cast",
"import datetime",
"import_3",
}
assert response_schemas == schemas_2
def test_add_parameters_handles_no_params(self):
from openapi_python_client.parser.openapi import Endpoint, Schemas
endpoint = self.make_endpoint()
schemas = Schemas()
parameters = Parameters()
config = MagicMock()
# Just checking there's no exception here
assert Endpoint.add_parameters(
endpoint=endpoint,
data=oai.Operation.model_construct(),
schemas=schemas,
parameters=parameters,
config=config,
) == (endpoint, schemas, parameters)
def test_add_parameters_parse_error(self, mocker):
from openapi_python_client.parser.openapi import Endpoint
endpoint = self.make_endpoint()
initial_schemas = mocker.MagicMock()
initial_parameters = mocker.MagicMock()
parse_error = ParseError(data=mocker.MagicMock())
property_schemas = mocker.MagicMock()
mocker.patch(f"{MODULE_NAME}.property_from_data", return_value=(parse_error, property_schemas))
param = oai.Parameter.model_construct(
name="test", required=True, param_schema=mocker.MagicMock(), param_in="cookie"
)
config = MagicMock()
result, schemas, parameters = Endpoint.add_parameters(
endpoint=endpoint,
data=oai.Operation.model_construct(parameters=[param]),
schemas=initial_schemas,
parameters=initial_parameters,
config=config,
)
assert (result, schemas, parameters) == (
ParseError(data=parse_error.data, detail=f"cannot parse parameter of endpoint {endpoint.name}"),
initial_schemas,
initial_parameters,
)
@pytest.mark.parametrize(
"data_type, allowed",
[
(oai.DataType.STRING, True),
(oai.DataType.INTEGER, True),
(oai.DataType.NUMBER, True),
(oai.DataType.BOOLEAN, True),
(oai.DataType.ARRAY, False),
(oai.DataType.OBJECT, False),
],
)
def test_add_parameters_header_types(self, data_type, allowed):
from openapi_python_client.parser.openapi import Endpoint
endpoint = self.make_endpoint()
initial_schemas = Schemas()
parameters = Parameters()
param = oai.Parameter.model_construct(
name="test", required=True, param_schema=oai.Schema(type=data_type), param_in=oai.ParameterLocation.HEADER
)
config = Config()
result = Endpoint.add_parameters(
endpoint=endpoint,
data=oai.Operation.model_construct(parameters=[param]),
schemas=initial_schemas,
parameters=parameters,
config=config,
)
if allowed:
assert isinstance(result[0], Endpoint)
else:
assert isinstance(result[0], ParseError)
def test__add_parameters_parse_error_on_non_required_path_param(self):
endpoint = self.make_endpoint()
param = oai.Parameter.model_construct(
name="test",
required=False,
param_schema=oai.Schema.model_construct(type="string"),
param_in=oai.ParameterLocation.PATH,
)
schemas = Schemas()
parameters = Parameters()
result = Endpoint.add_parameters(
endpoint=endpoint,
data=oai.Operation.model_construct(parameters=[param]),
parameters=parameters,
schemas=schemas,
config=Config(),
)
assert result == (ParseError(data=param, detail="Path parameter must be required"), schemas, parameters)
def test_validation_error_when_location_not_supported(self, mocker):
parsed_schemas = mocker.MagicMock()
mocker.patch(f"{MODULE_NAME}.property_from_data", return_value=(mocker.MagicMock(), parsed_schemas))
with pytest.raises(pydantic.ValidationError):
oai.Parameter(name="test", required=True, param_schema=mocker.MagicMock(), param_in="error_location")
def test__add_parameters_with_location_postfix_conflict1(self, mocker, property_factory):
"""Checks when the PythonIdentifier of new parameter already used."""
from openapi_python_client.parser.openapi import Endpoint
endpoint = self.make_endpoint()
path_prop_conflicted = property_factory(name="prop_name_path", required=True, nullable=False, default=None)
query_prop = property_factory(name="prop_name", required=True, nullable=False, default=None)
path_prop = property_factory(name="prop_name", required=True, nullable=False, default=None)
schemas_1 = mocker.MagicMock()
schemas_2 = mocker.MagicMock()
schemas_3 = mocker.MagicMock()
mocker.patch(
f"{MODULE_NAME}.property_from_data",
side_effect=[
(path_prop_conflicted, schemas_1),
(query_prop, schemas_2),
(path_prop, schemas_3),
],
)
path_conflicted_schema = mocker.MagicMock()
query_schema = mocker.MagicMock()
path_schema = mocker.MagicMock()
data = oai.Operation.model_construct(
parameters=[
oai.Parameter.model_construct(
name=path_prop_conflicted.name, required=True, param_schema=path_conflicted_schema, param_in="path"
),
oai.Parameter.model_construct(
name=query_prop.name, required=False, param_schema=query_schema, param_in="query"
),
oai.Parameter.model_construct(
name=path_prop.name, required=True, param_schema=path_schema, param_in="path"
),
oai.Reference.model_construct(), # Should be ignored
oai.Parameter.model_construct(), # Should be ignored
]
)
initial_schemas = mocker.MagicMock()
parameters = mocker.MagicMock()
config = MagicMock()
result = Endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=initial_schemas, parameters=parameters, config=config
)[0]
assert isinstance(result, ParseError)
assert result.detail == "Parameters with same Python identifier `prop_name_path` detected"
def test__add_parameters_with_location_postfix_conflict2(self, mocker, property_factory):
"""Checks when an existing parameter has a conflicting PythonIdentifier after renaming."""
from openapi_python_client.parser.openapi import Endpoint
endpoint = self.make_endpoint()
path_prop_conflicted = property_factory(name="prop_name_path", required=True, nullable=False, default=None)
path_prop = property_factory(name="prop_name", required=True, nullable=False, default=None)
query_prop = property_factory(name="prop_name", required=True, nullable=False, default=None)
schemas_1 = mocker.MagicMock()
schemas_2 = mocker.MagicMock()
schemas_3 = mocker.MagicMock()
property_from_data = mocker.patch(
f"{MODULE_NAME}.property_from_data",
side_effect=[
(path_prop_conflicted, schemas_1),
(path_prop, schemas_2),
(query_prop, schemas_3),
],
)
path_conflicted_schema = mocker.MagicMock()
path_schema = mocker.MagicMock()
query_schema = mocker.MagicMock()
data = oai.Operation.model_construct(
parameters=[
oai.Parameter.model_construct(
name=path_prop_conflicted.name, required=True, param_schema=path_conflicted_schema, param_in="path"
),
oai.Parameter.model_construct(
name=path_prop.name, required=True, param_schema=path_schema, param_in="path"
),
oai.Parameter.model_construct(
name=query_prop.name, required=False, param_schema=query_schema, param_in="query"
),
oai.Reference.model_construct(), # Should be ignored
oai.Parameter.model_construct(), # Should be ignored
]
)
initial_schemas = mocker.MagicMock()
parameters = mocker.MagicMock()
config = MagicMock()
result = Endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=initial_schemas, parameters=parameters, config=config
)[0]
assert isinstance(result, ParseError)
assert result.detail == "Parameters with same Python identifier `prop_name_path` detected"
def test__add_parameters_handles_invalid_references(self):
"""References are not supported as direct params yet"""
endpoint = self.make_endpoint()
data = oai.Operation.model_construct(
parameters=[
oai.Reference.model_construct(ref="blah"),
]
)
parameters = Parameters()
(error, _, return_parameters) = endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=Schemas(), parameters=parameters, config=Config()
)
assert isinstance(error, ParseError)
assert parameters == return_parameters
def test__add_parameters_resolves_references(self, mocker, param_factory):
"""References are not supported as direct params yet"""
endpoint = self.make_endpoint()
data = oai.Operation.model_construct(
parameters=[
oai.Reference.model_construct(ref="#components/parameters/blah"),
]
)
parameters = mocker.MagicMock()
new_param = param_factory(name="blah", schema=oai.Schema.model_construct(nullable=False, type="string"))
parameters.classes_by_name = {
"blah": new_param,
}
parameters.classes_by_reference = {"components/parameters/blah": new_param}
(endpoint, _, return_parameters) = endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=Schemas(), parameters=parameters, config=Config()
)
assert isinstance(endpoint, Endpoint)
assert parameters == return_parameters
def test__add_parameters_skips_params_without_schemas(self):
"""Params without schemas are allowed per spec, but the any type doesn't make sense as a parameter"""
endpoint = self.make_endpoint()
data = oai.Operation.model_construct(
parameters=[
oai.Parameter.model_construct(
name="param",
param_in="path",
),
]
)
(endpoint, _, _) = endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=Schemas(), parameters=Parameters(), config=Config()
)
assert isinstance(endpoint, Endpoint)
assert len(endpoint.path_parameters) == 0
def test__add_parameters_same_identifier_conflict(self):
endpoint = self.make_endpoint()
data = oai.Operation.model_construct(
parameters=[
oai.Parameter.model_construct(
name="param",
param_in="path",
param_schema=oai.Schema.model_construct(nullable=False, type="string"),
required=True,
),
oai.Parameter.model_construct(
name="param_path",
param_in="path",
param_schema=oai.Schema.model_construct(nullable=False, type="string"),
required=True,
),
oai.Parameter.model_construct(
name="param",
param_in="query",
param_schema=oai.Schema.model_construct(nullable=False, type="string"),
),
]
)
(err, _, _) = endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=Schemas(), parameters=Parameters(), config=Config()
)
assert isinstance(err, ParseError)
assert "param_path" in err.detail
def test__add_parameters_query_optionality(self):
endpoint = self.make_endpoint()
data = oai.Operation.model_construct(
parameters=[
oai.Parameter.model_construct(
name="not_null_not_required",
required=False,
param_schema=oai.Schema.model_construct(nullable=False, type="string"),
param_in="query",
),
oai.Parameter.model_construct(
name="not_null_required",
required=True,
param_schema=oai.Schema.model_construct(nullable=False, type="string"),
param_in="query",
),
oai.Parameter.model_construct(
name="null_not_required",
required=False,
param_schema=oai.Schema.model_construct(nullable=True, type="string"),
param_in="query",
),
oai.Parameter.model_construct(
name="null_required",
required=True,
param_schema=oai.Schema.model_construct(nullable=True, type="string"),
param_in="query",
),
]
)
(endpoint, _, _) = endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=Schemas(), parameters=Parameters(), config=Config()
)
assert len(endpoint.query_parameters) == 4, "Not all query params were added"
for param in endpoint.query_parameters.values():
if param.name == "not_null_required":
assert not param.nullable
assert param.required
else:
assert param.nullable
assert not param.required
def test_add_parameters_duplicate_properties(self):
from openapi_python_client.parser.openapi import Endpoint, Schemas
endpoint = self.make_endpoint()
param = oai.Parameter.model_construct(
name="test", required=True, param_schema=oai.Schema.model_construct(type="string"), param_in="path"
)
data = oai.Operation.model_construct(parameters=[param, param])
schemas = Schemas()
parameters = Parameters()
config = MagicMock()
result = Endpoint.add_parameters(
endpoint=endpoint, data=data, schemas=schemas, parameters=parameters, config=config
)
assert result == (
ParseError(
data=data,
detail="Parameters MUST NOT contain duplicates. "
"A unique parameter is defined by a combination of a name and location. "
"Duplicated parameters named `test` detected in `path`.",
),
schemas,
parameters,
)
def test_add_parameters_duplicate_properties_different_location(self):
from openapi_python_client.parser.openapi import Endpoint, Schemas
endpoint = self.make_endpoint()
path_param = oai.Parameter.model_construct(
name="test", required=True, param_schema=oai.Schema.model_construct(type="string"), param_in="path"
)
query_param = oai.Parameter.model_construct(
name="test", required=True, param_schema=oai.Schema.model_construct(type="string"), param_in="query"
)
schemas = Schemas()
parameters = Parameters()
config = MagicMock()
result = Endpoint.add_parameters(
endpoint=endpoint,
data=oai.Operation.model_construct(parameters=[path_param, query_param]),
schemas=schemas,
parameters=parameters,
config=config,
)[0]
assert isinstance(result, Endpoint)
assert result.path_parameters["test"].name == "test"
assert result.query_parameters["test"].name == "test"
def test_sort_parameters(self, string_property_factory):
from openapi_python_client.parser.openapi import Endpoint
endpoint = self.make_endpoint()
endpoint.path = "/multiple-path-parameters/{param4}/{param2}/{param1}/{param3}"
for i in range(1, 5):
prop = string_property_factory(name=f"param{i}")
endpoint.path_parameters[prop.name] = prop
result = Endpoint.sort_parameters(endpoint=endpoint)
result_names = [name for name in result.path_parameters]
expected_names = [f"param{i}" for i in (4, 2, 1, 3)]
assert result_names == expected_names
def test_sort_parameters_missing_param(self, string_property_factory):
from openapi_python_client.parser.openapi import Endpoint
endpoint = self.make_endpoint()
endpoint.path = "/multiple-path-parameters/{param1}/{param2}"
param = string_property_factory(name="param1")
endpoint.path_parameters[param.name] = param
result = Endpoint.sort_parameters(endpoint=endpoint)
assert isinstance(result, ParseError)
assert "Incorrect path templating" in result.detail
assert endpoint.path in result.detail
def test_sort_parameters_extra_param(self, string_property_factory):
from openapi_python_client.parser.openapi import Endpoint
endpoint = self.make_endpoint()
endpoint.path = "/multiple-path-parameters"
param = string_property_factory(name="param1")
endpoint.path_parameters[param.name] = param
result = Endpoint.sort_parameters(endpoint=endpoint)
assert isinstance(result, ParseError)
assert "Incorrect path templating" in result.detail
assert endpoint.path in result.detail
def test_from_data_bad_params(self, mocker):
from openapi_python_client.parser.openapi import Endpoint
path = mocker.MagicMock()
method = mocker.MagicMock()
parse_error = ParseError(data=mocker.MagicMock())
return_schemas = mocker.MagicMock()
return_parameters = mocker.MagicMock()
add_parameters = mocker.patch.object(
Endpoint, "add_parameters", return_value=(parse_error, return_schemas, return_parameters)
)
data = oai.Operation.model_construct(
description=mocker.MagicMock(),
operationId=mocker.MagicMock(),
security={"blah": "bloo"},
responses=mocker.MagicMock(),
)
initial_schemas = mocker.MagicMock()
parameters = Parameters()
config = MagicMock()
result = Endpoint.from_data(
data=data,
path=path,
method=method,
tag="default",
schemas=initial_schemas,
parameters=parameters,