How to use the bioblend._tests.test_util function in bioblend

def test_workflow_scheduling(self):
        path = test_util.get_abspath(os.path.join('data', 'test_workflow_pause.ga'))
        workflow = self.gi.workflows.import_workflow_from_local_path(path)
        workflow_id = workflow["id"]
        history_id = self.gi.histories.create_history(name="TestWorkflowState")["id"]
        dataset1_id = self._test_dataset(history_id)

        invocations = self.gi.workflows.get_invocations(workflow_id)
        self.assertEqual(len(invocations), 0)

        invocation = self.gi.workflows.invoke_workflow(
            workflow["id"],
            inputs={"0": {"src": "hda", "id": dataset1_id}},
        )
        invocation_id = invocation["id"]
        invocations = self.gi.workflows.get_invocations(workflow_id)
        self.assertEqual(len(invocations), 1)
        self.assertEqual(invocations[0]["id"], invocation_id)

def test_import_publish_workflow_from_local_path(self):
        path = test_util.get_abspath(os.path.join('data', 'paste_columns.ga'))
        imported_wf = self.gi.workflows.import_workflow_from_local_path(path, publish=True)
        self.assertIsInstance(imported_wf, dict)
        self.assertFalse(imported_wf['deleted'])
        self.assertTrue(imported_wf['published'])

    @test_util.skip_unless_galaxy('release_19.09')
    def test_update_dataset_tags(self):
        datasets = self.gi.libraries.upload_file_contents(self.library['id'], FOO_DATA)
        dataset_show = self.gi.libraries.show_dataset(self.library['id'], datasets[0]['id'])
        self.assertEqual(dataset_show['tags'], "")

        updated_dataset = self.gi.libraries.update_library_dataset(datasets[0]['id'], tags=["name:foobar", "barfoo"])
        dataset_show = self.gi.libraries.show_dataset(self.library['id'], updated_dataset['id'])

        self.assertEqual(dataset_show['tags'], 'name:foobar, barfoo')

    @test_util.skip_unless_galaxy('release_19.09')
    def test_upload_file_contents_with_tags(self):
        datasets = self.gi.libraries.upload_file_contents(self.library['id'], FOO_DATA, tags=["name:foobar", "barfoo"])
        dataset_show = self.gi.libraries.show_dataset(self.library['id'], datasets[0]['id'])
        self.assertEqual(dataset_show['tags'], 'name:foobar, barfoo')

"""
Tests the functionality of the Blend CloudMan API. These tests require working
credentials to supported cloud infrastructure.
"""
from bioblend.cloudman import CloudManConfig, CloudManInstance
from . import CloudmanTestBase, test_util


@test_util.skip_unless_cloudman()
class TestCloudmanServices(CloudmanTestBase.CloudmanTestBase):

    @classmethod
    def setUpClass(cls):
        super().setUpClass()
        cls.cfg = CloudManConfig(cls.access_key, cls.secret_key, cls.cluster_name, cls.ami_id, cls.instance_type, cls.password, cloud_metadata=cls.cloud_metadata)
        cls.cmi = CloudManInstance.launch_instance(cls.cfg)

    def setUp(self):
        self.cmi = self.__class__.cmi

    def test_get_status(self):
        status = self.cmi.get_status()
        self.assertIsNotNone(status)

    def test_get_nodes(self):

def test_invocation(self):
        path = test_util.get_abspath(os.path.join('data', 'paste_columns.ga'))
        workflow = self.gi.workflows.import_workflow_from_local_path(path)
        history_id = self.gi.histories.create_history(name="TestWorkflowState")["id"]
        dataset1_id = self._test_dataset(history_id)
        dataset = {'src': 'hda', 'id': dataset1_id}

        invocation = self.gi.workflows.invoke_workflow(
            workflow['id'],
            inputs={'Input 1': dataset, 'Input 2': dataset},
            history_id=history_id,
            inputs_by='name',
        )

        invocation_id = invocation["id"]
        invocations = self.gi.invocations.get_invocations()
        self.assertEqual(len(invocations), 1)
        self.assertEqual(invocations[0]["id"], invocation_id)

import os

import bioblend
import bioblend.galaxy
from . import test_util
from .test_util import unittest

bioblend.set_stream_logger('test', level='INFO')

BIOBLEND_TEST_JOB_TIMEOUT = int(os.environ.get("BIOBLEND_TEST_JOB_TIMEOUT", "60"))


@test_util.skip_unless_galaxy()
class GalaxyTestBase(unittest.TestCase):

    def setUp(self):
        galaxy_key = os.environ['BIOBLEND_GALAXY_API_KEY']
        galaxy_url = os.environ['BIOBLEND_GALAXY_URL']
        self.gi = bioblend.galaxy.GalaxyInstance(url=galaxy_url, key=galaxy_key)

    def _test_dataset(self, history_id, contents="1\t2\t3", **kwds):
        tool_output = self.gi.tools.paste_content(contents, history_id, **kwds)
        return tool_output["outputs"][0]["id"]

    def _wait_and_verify_dataset(self, dataset_id, expected_contents, timeout_seconds=BIOBLEND_TEST_JOB_TIMEOUT):
        dataset_contents = self.gi.datasets.download_dataset(dataset_id, maxwait=timeout_seconds)
        self.assertEqual(dataset_contents, expected_contents)

def test_upload_file(self):
        history = self.gi.histories.create_history(name="test_upload_file history")

        fn = test_util.get_abspath("test_util.py")
        file_name = "test1"
        tool_output = self.gi.tools.upload_file(
            fn,
            # First param could be a regular path also of course...
            history_id=history["id"],
            file_name=file_name,
            dbkey="?",
            file_type="txt",
        )
        self._wait_for_and_verify_upload(tool_output, file_name, fn, expected_dbkey="?")

def test_import_history(self):
        path = test_util.get_abspath(os.path.join('data', 'Galaxy-History-test.tar.gz'))
        self.gi.histories.import_history(file_path=path)

    @test_util.skip_unless_tool("cat")
    def test_workflow_scheduling(self):
        path = test_util.get_abspath(os.path.join('data', 'test_workflow_pause.ga'))
        workflow = self.gi.workflows.import_workflow_from_local_path(path)
        history_id = self.gi.histories.create_history(name="TestWorkflowState")["id"]
        dataset1_id = self._test_dataset(history_id)

        invocation = self.gi.workflows.invoke_workflow(
            workflow["id"],
            inputs={"0": {"src": "hda", "id": dataset1_id}},
        )
        invocation_id = invocation["id"]

        def invocation_steps_by_order_index():
            invocation = self.gi.invocations.show_invocation(invocation_id)
            return dict((s["order_index"], s) for s in invocation["steps"])