def _get_run():
request_message = _get_request_message(GetRun())
response_message = GetRun.Response()
response_message.run.MergeFrom(_get_store().get_run(request_message.run_uuid).to_proto())
response = Response(mimetype='application/json')
response.set_data(message_to_json(response_message))
return response
def _get_run():
request_message = _get_request_message(GetRun(), from_get=True)
response_message = GetRun.Response()
response_message.run.MergeFrom(_get_store().get_run(
request_message.run_uuid).to_proto())
response = Response(mimetype='application/json')
response.set_data(
MessageToJson(response_message, preserving_proto_field_name=True))
return response
def _get_run():
request_message = _get_request_message(GetRun())
response_message = GetRun.Response()
run_id = request_message.run_id or request_message.run_uuid
run = _get_tracking_store().get_run(run_id)
run_auth_check(run)
response_message.run.MergeFrom(run.to_proto())
response = Response(mimetype="application/json")
response.set_data(message_to_json(response_message))
return response
def test_malformed_json_error_response(response_mock):
with mock.patch("requests.request") as request_mock:
host_only = MlflowHostCreds("http://my-host")
request_mock.return_value = response_mock
response_proto = GetRun.Response()
with pytest.raises(MlflowException):
call_endpoint(host_only, "/my/endpoint", "GET", "", response_proto)
def get_run(self, run_uuid):
"""
Fetches the run from backend store
:param run_uuid: Unique identifier for the run
:return: A single Run object if it exists, otherwise raises an Exception
"""
req_body = message_to_json(GetRun(run_uuid=run_uuid))
response_proto = self._call_endpoint(GetRun, req_body)
return Run.from_proto(response_proto.run)
def test_well_formed_json_error_response():
with mock.patch("requests.request") as request_mock:
host_only = MlflowHostCreds("http://my-host")
response_mock = mock.MagicMock()
response_mock.status_code = 400
response_mock.text = "{}" # well-formed JSON error response
request_mock.return_value = response_mock
response_proto = GetRun.Response()
with pytest.raises(RestException):
call_endpoint(host_only, "/my/endpoint", "GET", "", response_proto)
def test_call_endpoints_raises_exceptions():
with mock.patch("mlflow.utils.rest_utils.call_endpoint") as mock_call_endpoint:
response_proto = GetRun.Response()
mock_call_endpoint.side_effect = [
RestException({"error_code": ErrorCode.Name(ENDPOINT_NOT_FOUND)}),
RestException({"error_code": ErrorCode.Name(ENDPOINT_NOT_FOUND)}),
]
host_only = MlflowHostCreds("http://my-host")
endpoints = [("/my/endpoint", "POST"), ("/my/endpoint", "GET")]
with pytest.raises(RestException):
call_endpoints(host_only, endpoints, "", response_proto)
mock_call_endpoint.side_effect = [RestException({}), None]
with pytest.raises(RestException):
call_endpoints(host_only, endpoints, "", response_proto)
def test_non_json_ok_response():
with mock.patch("requests.Session.request") as request_mock:
host_only = MlflowHostCreds("http://my-host")
response_mock = mock.MagicMock()
response_mock.status_code = 200
response_mock.text = "<html></html>"
request_mock.return_value = response_mock
response_proto = GetRun.Response()
with pytest.raises(
MlflowException,
match="API request to endpoint was successful but the response body was not "
"in a valid JSON format",
):
call_endpoint(host_only, "/api/2.0/fetch-model", "GET", "", response_proto)
def test_call_endpoints():
with mock.patch(
"mlflow.utils.rest_utils.call_endpoint") as mock_call_endpoint:
response_proto = GetRun.Response()
mock_call_endpoint.side_effect = [
RestException({"error_code": ErrorCode.Name(ENDPOINT_NOT_FOUND)}),
None,
]
host_only = MlflowHostCreds("http://my-host")
endpoints = [("/my/endpoint", "POST"), ("/my/endpoint", "GET")]
resp = call_endpoints(host_only, endpoints, "", response_proto)
mock_call_endpoint.assert_has_calls([
mock.call(host_only, endpoint, method, "", response_proto)
for endpoint, method in endpoints
])
assert resp is None
def _get_run_artifact_root(self, run_id):
json_body = message_to_json(GetRun(run_id=run_id))
run_response = self._call_endpoint(MlflowService, GetRun, json_body)
return run_response.run.info.artifact_uri