Exemplo n.º 1
0
    def test_scenario1(self):
        """
            Scenario: Successfully creating and reading a public dataset:
                Given I create a data source uploading a "<data>" file
                And I wait until the source is ready less than <time_1> secs
                And I create a dataset
                And I wait until the dataset is ready less than <time_2> secs
                And I make the dataset public
                And I wait until the dataset is ready less than <time_3> secs
                When I get the dataset status using the dataset's public url
                Then the dataset's status is FINISHED

                Examples:
                | data                | time_1  | time_2 | time_3 |
                | ../data/iris.csv | 10      | 10     | 10     |
        """
        print self.test_scenario1.__doc__
        examples = [['data/iris.csv', '10', '10', '10']]
        for example in examples:
            print "\nTesting with:\n", example
            source_create.i_upload_a_file_from_stdin(self, example[0])
            source_create.the_source_is_finished(self, example[1])
            dataset_create.i_create_a_dataset(self)
            dataset_create.the_dataset_is_finished_in_less_than(
                self, example[2])
            dataset_create.make_the_dataset_public(self)
            dataset_create.the_dataset_is_finished_in_less_than(
                self, example[3])
            dataset_create.build_local_dataset_from_public_url(self)
            dataset_create.dataset_status_finished(self)
Exemplo n.º 2
0
    def test_scenario1(self):
        """
            Scenario: Successfully creating and reading a public dataset:
                Given I create a data source uploading a "<data>" file
                And I wait until the source is ready less than <time_1> secs
                And I create a dataset
                And I wait until the dataset is ready less than <time_2> secs
                And I make the dataset public
                And I wait until the dataset is ready less than <time_3> secs
                When I get the dataset status using the dataset's public url
                Then the dataset's status is FINISHED

                Examples:
                | data                | time_1  | time_2 | time_3 |
                | ../data/iris.csv | 10      | 10     | 10     |
        """
        print self.test_scenario1.__doc__
        examples = [
            ['data/iris.csv', '10', '10', '10']]
        for example in examples:
            print "\nTesting with:\n", example
            source_create.i_upload_a_file(self, example[0])
            source_create.the_source_is_finished(self, example[1])
            dataset_create.i_create_a_dataset(self)
            dataset_create.the_dataset_is_finished_in_less_than(self, example[2])
            dataset_create.make_the_dataset_public(self)
            dataset_create.the_dataset_is_finished_in_less_than(self, example[3])
            dataset_create.build_local_dataset_from_public_url(self)
            dataset_create.dataset_status_finished(self)