コード例 #1
0
    def GetFitSolutionResults(self, request, context):
        """grpc GetFitSolutionResults call"""
        msgd(self.GetFitSolutionResults.__doc__)

        total_loops = 3
        for loop_num in range(total_loops):
            # pause 1, 3 seconds...
            pause_secs = random.randint(1, 3)
            print('(loop %d/%d) pausing %d seconds' % \
                 ((loop_num + 1), total_loops, pause_secs))
            time.sleep(pause_secs)

            step_progress = core_pb2.StepProgress(\
                        progress=get_progress(no_errors=True),
                        steps=[core_pb2.StepProgress(\
                                progress=get_progress(no_errors=True))])

            resp = core_pb2.GetFitSolutionResultsResponse(\
                    progress=get_progress(no_errors=True),
                    steps=[step_progress],
                    exposed_outputs=dict(\
                        key1=value_pb2.Value(csv_uri='file://uri/to-a/csv'),
                        key2=value_pb2.Value(dataset_uri='file://uri/to-a/dataset')),
                    fitted_solution_id=get_solution_id_str())

            yield resp
コード例 #2
0
    def GetSearchSolutionsResults(self, request, context):
        """grpc GetSearchSolutionsResults call"""
        msgd(self.GetSearchSolutionsResults.__doc__)

        total_loops = 3
        for loop_num in range(total_loops):
            # pause 1, 3 seconds...
            pause_secs = random.randint(1, 3)
            print('(loop %d/%d) pausing %d seconds' % \
                 ((loop_num + 1), total_loops, pause_secs))
            time.sleep(pause_secs)

            score_list = []
            for _loop in range(0, random.randint(0, 3)):
                score_list.append(get_solution_search_score())

            resp = core_pb2.GetSearchSolutionsResultsResponse(\
                        progress=get_progress(),
                        done_ticks=random.randint(1, 9),
                        all_ticks=10,
                        solution_id=get_solution_id_str(),
                        internal_score=0,
                        scores=score_list)

            self.print_resp(resp)

            yield resp
コード例 #3
0
def test_SolutionExport():

    req = core_pb2.SolutionExportRequest(\
                fitted_solution_id=get_solution_id_str(),
                rank=round(random.random(), 3))

    print(MessageToJson(req, including_default_value_fields=True))
コード例 #4
0
def test_ScoreSolution():
    """work out the req/resp"""
    perf_metrics = [\
        problem_pb2.ProblemPerformanceMetric(metric=\
            get_rand_enum_val(problem_pb2.PerformanceMetric)),
        problem_pb2.ProblemPerformanceMetric(metric=\
            get_rand_enum_val(problem_pb2.PerformanceMetric))]

    req = core_pb2.ScoreSolutionRequest(\
                solution_id=get_solution_id_str(),
                inputs=[value_pb2.Value(csv_uri='file://uri/to-a/csv'),
                        value_pb2.Value(dataset_uri='file://uri/to-a/dataset')],
                performance_metrics=perf_metrics,
                users=[core_pb2.SolutionRunUser(\
                            id='uuid of user',
                            choosen=True,
                            reason='best solution'),
                       core_pb2.SolutionRunUser(\
                            id='uuid of user',
                            choosen=False)],
                configuration=get_scoring_configuration())
    """
    message ScoreSolutionRequest {
        string solution_id = 1;
        repeated Value inputs = 2;
        repeated ProblemPerformanceMetric performance_metrics = 3;
        // Any users associated with this call itself. Optional.
        repeated SolutionRunUser users = 4;
        ScoringConfiguration configuration = 5;
    }
    """
    print(MessageToJson(req, including_default_value_fields=True))
コード例 #5
0
def test_ProduceSolution():

    req = core_pb2.ProduceSolutionRequest(\
            fitted_solution_id=get_solution_id_str(),
            inputs=[value_pb2.Value(csv_uri='file://uri/to-a/csv'),
                    value_pb2.Value(dataset_uri='file://uri/to-a/dataset')],
            expose_outputs=['steps.1.steps.4.produce'],
            expose_value_types=[get_rand_enum_val(value_pb2.ValueType),
                                get_rand_enum_val(value_pb2.ValueType)],
            users=[core_pb2.SolutionRunUser(\
                        id='uuid of user',
                        choosen=True,
                        reason='best solution'),
                   core_pb2.SolutionRunUser(\
                        id='uuid of user',
                        choosen=False)])

    print(MessageToJson(req, including_default_value_fields=True))
コード例 #6
0
def test_GetSearchSolutionsResults():
    """work out the req/resp"""
    req = core_pb2.GetSearchSolutionsResultsRequest(\
                search_id=get_search_id_str())

    print(MessageToJson(req))

    score_list = []
    for _loop in range(0, random.randint(1, 3)):
        score_list.append(get_solution_search_score())

    resp = core_pb2.GetSearchSolutionsResultsResponse(\
                progress=get_progress(),
                done_ticks=random.randint(1, 9),
                all_ticks=10,
                solution_id=get_solution_id_str(),
                internal_score=0,
                scores=score_list)

    print(MessageToJson(resp, including_default_value_fields=True))
コード例 #7
0
def test_GetFitSolutionResults():

    req = core_pb2.GetFitSolutionResultsRequest(
        request_id=get_request_id_str())

    print(MessageToJson(req, including_default_value_fields=True))

    step_progress = core_pb2.StepProgress(\
                        progress=get_progress(no_errors=True),
                        steps=[core_pb2.StepProgress(\
                                progress=get_progress(no_errors=True))])


    resp = core_pb2.GetFitSolutionResultsResponse(\
                    progress=get_progress(no_errors=True),
                    steps=[step_progress],
                    exposed_outputs=dict(\
                                key1=value_pb2.Value(csv_uri='file://uri/to-a/csv'),
                                key2=value_pb2.Value(dataset_uri='file://uri/to-a/dataset')),
                    fitted_solution_id=get_solution_id_str())

    print(MessageToJson(resp, including_default_value_fields=True))