Ejemplo n.º 1
0
def _create_run():
    request_message = _get_request_message(CreateRun())

    tags = [RunTag(tag.key, tag.value) for tag in request_message.tags]
    run = _get_store().create_run(experiment_id=request_message.experiment_id,
                                  user_id=request_message.user_id,
                                  start_time=request_message.start_time,
                                  tags=tags)

    response_message = CreateRun.Response()
    response_message.run.MergeFrom(run.to_proto())
    response = Response(mimetype='application/json')
    response.set_data(message_to_json(response_message))
    return response
Ejemplo n.º 2
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    def create_run(self, experiment_id, user_id, run_name, source_type,
                   source_name, entry_point_name, start_time, source_version,
                   tags, parent_run_id):
        """
        Creates a run under the specified experiment ID, setting the run's status to "RUNNING"
        and the start time to the current time.

        :param experiment_id: ID of the experiment for this run
        :param user_id: ID of the user launching this run
        :param source_type: Enum (integer) describing the source of the run
        :return: The created Run object
        """
        tag_protos = [tag.to_proto() for tag in tags]
        req_body = message_to_json(
            CreateRun(experiment_id=experiment_id,
                      user_id=user_id,
                      run_name="",
                      source_type=source_type,
                      source_name=source_name,
                      entry_point_name=entry_point_name,
                      start_time=start_time,
                      source_version=source_version,
                      tags=tag_protos,
                      parent_run_id=parent_run_id))
        response_proto = self._call_endpoint(CreateRun, req_body)
        run = Run.from_proto(response_proto.run)
        if run_name:
            self.set_tag(run.info.run_uuid,
                         RunTag(key=MLFLOW_RUN_NAME, value=run_name))
        return run
Ejemplo n.º 3
0
def _create_run():
    request_message = _get_request_message(CreateRun())
    user_id = flask_login.current_user.id
    tags = [RunTag(tag.key, tag.value) for tag in request_message.tags]
    run = _get_tracking_store().create_run(
        experiment_id=request_message.experiment_id,
        user_id=user_id,
        start_time=request_message.start_time,
        tags=tags,
    )

    response_message = CreateRun.Response()
    response_message.run.MergeFrom(run.to_proto())
    response = Response(mimetype="application/json")
    response.set_data(message_to_json(response_message))
    return response
Ejemplo n.º 4
0
    def create_run(self, experiment_id, user_id, run_name, source_type,
                   source_name, entry_point_name, start_time, source_version,
                   tags):
        """
        Creates a run under the specified experiment ID, setting the run's status to "RUNNING"
        and the start time to the current time.

        :param experiment_id: ID of the experiment for this run
        :param user_id: ID of the user launching this run
        :param source_type: Enum (integer) describing the source of the run
        :return: The created Run object
        """
        tag_protos = [tag.to_proto() for tag in tags]
        req_body = MessageToJson(
            CreateRun(experiment_id=experiment_id,
                      user_id=user_id,
                      run_name=run_name,
                      source_type=source_type,
                      source_name=source_name,
                      entry_point_name=entry_point_name,
                      start_time=start_time,
                      source_version=source_version,
                      tags=tag_protos))
        response_proto = self._call_endpoint(CreateRun, req_body)
        return Run.from_proto(response_proto.run)
Ejemplo n.º 5
0
def _create_run():
    request_message = _get_request_message(CreateRun())

    tags = [RunTag(tag.key, tag.value) for tag in request_message.tags]
    run = store.create_run(experiment_id=request_message.experiment_id,
                           user_id=request_message.user_id,
                           run_name=request_message.run_name,
                           source_type=request_message.source_type,
                           source_name=request_message.source_name,
                           entry_point_name=request_message.entry_point_name,
                           start_time=request_message.start_time,
                           source_version=request_message.source_version,
                           tags=tags)

    response_message = CreateRun.Response()
    response_message.run.MergeFrom(run.to_proto())
    response = Response(mimetype='application/json')
    response.set_data(
        MessageToJson(response_message, preserving_proto_field_name=True))
    return response
Ejemplo n.º 6
0
    def create_run(self, experiment_id, user_id, start_time, tags):
        """
        Create a run under the specified experiment ID, setting the run's status to "RUNNING"
        and the start time to the current time.

        :param experiment_id: ID of the experiment for this run
        :param user_id: ID of the user launching this run
        :param start_time: timestamp of the initialization of the run
        :param tags: tags to apply to this run at initialization

        :return: The created Run object
        """
        tag_protos = [tag.to_proto() for tag in tags]
        req_body = message_to_json(
            CreateRun(
                experiment_id=str(experiment_id),
                user_id=user_id,
                start_time=start_time,
                tags=tag_protos,
            ))
        response_proto = self._call_endpoint(CreateRun, req_body)
        run = Run.from_proto(response_proto.run)
        return run
Ejemplo n.º 7
0
    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.store.rest_store.http_request') as mock_http, \
                mock.patch('mlflow.tracking.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.store.rest_store.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.store.rest_store.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.store.rest_store.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.store.rest_store.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.store.rest_store.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.store.rest_store.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.store.rest_store.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.store.rest_store.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.store.rest_store.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.store.rest_store.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"
Ejemplo n.º 8
0
    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"
        run_name = "rest run"
        source_name = "rest test"

        with mock.patch('mlflow.store.rest_store.http_request_safe') as mock_http, \
                mock.patch('mlflow.tracking.utils._get_store', return_value=store), \
                mock.patch('mlflow.tracking.client._get_user_id', return_value=user_name), \
                mock.patch('time.time', return_value=13579):
            with mlflow.start_run(experiment_id="43",
                                  run_name=run_name,
                                  source_name=source_name):
                cr_body = message_to_json(
                    CreateRun(experiment_id="43",
                              run_name='',
                              user_id=user_name,
                              source_type=SourceType.LOCAL,
                              source_name=source_name,
                              start_time=13579000,
                              tags=[
                                  ProtoRunTag(key='mlflow.source.name',
                                              value=source_name),
                                  ProtoRunTag(key='mlflow.source.type',
                                              value='LOCAL')
                              ]))
                st_body = message_to_json(
                    SetTag(run_uuid='', key='mlflow.runName', value=run_name))
                assert mock_http.call_count == 2
                exp_calls = [("runs/create", "POST", cr_body),
                             ("runs/set-tag", "POST", st_body)]
                self._verify_request_has_calls(mock_http, creds, exp_calls)

        with mock.patch(
                'mlflow.store.rest_store.http_request_safe') as mock_http:
            store.log_param("some_uuid", Param("k1", "v1"))
            body = message_to_json(
                LogParam(run_uuid="some_uuid", key="k1", value="v1"))
            self._verify_requests(mock_http, creds, "runs/log-parameter",
                                  "POST", body)

        with mock.patch(
                'mlflow.store.rest_store.http_request_safe') as mock_http:
            store.set_tag("some_uuid", RunTag("t1", "abcd" * 1000))
            body = message_to_json(
                SetTag(run_uuid="some_uuid", key="t1", value="abcd" * 1000))
            self._verify_requests(mock_http, creds, "runs/set-tag", "POST",
                                  body)

        with mock.patch(
                'mlflow.store.rest_store.http_request_safe') as mock_http:
            store.log_metric("u2", Metric("m1", 0.87, 12345, 3))
            body = message_to_json(
                LogMetric(run_uuid="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.store.rest_store.http_request_safe') 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.store.rest_store.http_request_safe') 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.store.rest_store.http_request_safe') 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.store.rest_store.http_request_safe') 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.store.rest_store.http_request_safe') as mock_http:
            store.restore_experiment("0")
            self._verify_requests(
                mock_http, creds, "experiments/restore", "POST",
                message_to_json(RestoreExperiment(experiment_id="0")))