def _log_model(): request_message = _get_request_message(LogModel()) try: model = json.loads(request_message.model_json) except: # NB: can not be more specific here due to python2 compatibility raise MlflowException( "Malformed model info. \n {} \n is not a valid JSON.".format( request_message.model_json), error_code=INVALID_PARAMETER_VALUE, ) missing_fields = set( ("artifact_path", "flavors", "utc_time_created", "run_id")) - set( model.keys()) if missing_fields: raise MlflowException( "Model json is missing mandatory fields: {}".format( missing_fields), error_code=INVALID_PARAMETER_VALUE, ) _get_tracking_store().record_logged_model( run_id=request_message.run_id, mlflow_model=Model.from_dict(model)) response_message = LogModel.Response() response = Response(mimetype="application/json") response.set_data(message_to_json(response_message)) return response
def record_logged_model(self, run_id, mlflow_model): req_body = message_to_json(LogModel(run_id=run_id, model_json=mlflow_model.to_json())) self._call_endpoint(LogModel, req_body)
def test_requestor(self, request): response = mock.MagicMock response.status_code = 200 response.text = "{}" request.return_value = response creds = MlflowHostCreds("https://hello") store = RestStore(lambda: creds) user_name = "mock user" source_name = "rest test" source_name_patch = mock.patch( "mlflow.tracking.context.default_context._get_source_name", return_value=source_name) source_type_patch = mock.patch( "mlflow.tracking.context.default_context._get_source_type", return_value=SourceType.LOCAL, ) with mock.patch( "mlflow.utils.rest_utils.http_request" ) as mock_http, mock.patch( "mlflow.tracking._tracking_service.utils._get_store", return_value=store), mock.patch( "mlflow.tracking.context.default_context._get_user", return_value=user_name), mock.patch( "time.time", return_value=13579 ), source_name_patch, source_type_patch: with mlflow.start_run(experiment_id="43"): cr_body = message_to_json( CreateRun( experiment_id="43", user_id=user_name, start_time=13579000, tags=[ ProtoRunTag(key="mlflow.source.name", value=source_name), ProtoRunTag(key="mlflow.source.type", value="LOCAL"), ProtoRunTag(key="mlflow.user", value=user_name), ], )) expected_kwargs = self._args(creds, "runs/create", "POST", cr_body) assert mock_http.call_count == 1 actual_kwargs = mock_http.call_args[1] # Test the passed tag values separately from the rest of the request # Tag order is inconsistent on Python 2 and 3, but the order does not matter expected_tags = expected_kwargs["json"].pop("tags") actual_tags = actual_kwargs["json"].pop("tags") assert sorted(expected_tags, key=lambda t: t["key"]) == sorted( actual_tags, key=lambda t: t["key"]) assert expected_kwargs == actual_kwargs with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.log_param("some_uuid", Param("k1", "v1")) body = message_to_json( LogParam(run_uuid="some_uuid", run_id="some_uuid", key="k1", value="v1")) self._verify_requests(mock_http, creds, "runs/log-parameter", "POST", body) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.set_experiment_tag("some_id", ExperimentTag("t1", "abcd" * 1000)) body = message_to_json( SetExperimentTag(experiment_id="some_id", key="t1", value="abcd" * 1000)) self._verify_requests(mock_http, creds, "experiments/set-experiment-tag", "POST", body) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.set_tag("some_uuid", RunTag("t1", "abcd" * 1000)) body = message_to_json( SetTag(run_uuid="some_uuid", run_id="some_uuid", key="t1", value="abcd" * 1000)) self._verify_requests(mock_http, creds, "runs/set-tag", "POST", body) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.delete_tag("some_uuid", "t1") body = message_to_json(DeleteTag(run_id="some_uuid", key="t1")) self._verify_requests(mock_http, creds, "runs/delete-tag", "POST", body) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.log_metric("u2", Metric("m1", 0.87, 12345, 3)) body = message_to_json( LogMetric(run_uuid="u2", run_id="u2", key="m1", value=0.87, timestamp=12345, step=3)) self._verify_requests(mock_http, creds, "runs/log-metric", "POST", body) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: metrics = [ Metric("m1", 0.87, 12345, 0), Metric("m2", 0.49, 12345, -1), Metric("m3", 0.58, 12345, 2), ] params = [Param("p1", "p1val"), Param("p2", "p2val")] tags = [RunTag("t1", "t1val"), RunTag("t2", "t2val")] store.log_batch(run_id="u2", metrics=metrics, params=params, tags=tags) metric_protos = [metric.to_proto() for metric in metrics] param_protos = [param.to_proto() for param in params] tag_protos = [tag.to_proto() for tag in tags] body = message_to_json( LogBatch(run_id="u2", metrics=metric_protos, params=param_protos, tags=tag_protos)) self._verify_requests(mock_http, creds, "runs/log-batch", "POST", body) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.delete_run("u25") self._verify_requests(mock_http, creds, "runs/delete", "POST", message_to_json(DeleteRun(run_id="u25"))) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.restore_run("u76") self._verify_requests(mock_http, creds, "runs/restore", "POST", message_to_json(RestoreRun(run_id="u76"))) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.delete_experiment("0") self._verify_requests( mock_http, creds, "experiments/delete", "POST", message_to_json(DeleteExperiment(experiment_id="0")), ) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: store.restore_experiment("0") self._verify_requests( mock_http, creds, "experiments/restore", "POST", message_to_json(RestoreExperiment(experiment_id="0")), ) with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: response = mock.MagicMock response.text = '{"runs": ["1a", "2b", "3c"], "next_page_token": "67890fghij"}' mock_http.return_value = response result = store.search_runs( ["0", "1"], "params.p1 = 'a'", ViewType.ACTIVE_ONLY, max_results=10, order_by=["a"], page_token="12345abcde", ) expected_message = SearchRuns( experiment_ids=["0", "1"], filter="params.p1 = 'a'", run_view_type=ViewType.to_proto(ViewType.ACTIVE_ONLY), max_results=10, order_by=["a"], page_token="12345abcde", ) self._verify_requests(mock_http, creds, "runs/search", "POST", message_to_json(expected_message)) assert result.token == "67890fghij" with mock.patch("mlflow.utils.rest_utils.http_request") as mock_http: run_id = "run_id" m = Model(artifact_path="model/path", run_id="run_id", flavors={"tf": "flavor body"}) result = store.record_logged_model("run_id", m) expected_message = LogModel(run_id=run_id, model_json=m.to_json()) self._verify_requests(mock_http, creds, "runs/log-model", "POST", message_to_json(expected_message))