258 lines
10 KiB
Python
258 lines
10 KiB
Python
# (c) 2017 Red Hat Inc.
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#
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# This file is part of Ansible
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#
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# Ansible is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Ansible is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
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import os
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import json
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import collections
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import pytest
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from units.utils.amazon_placebo_fixtures import placeboify, maybe_sleep
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from ansible.modules.cloud.amazon import data_pipeline
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from ansible.module_utils._text import to_text
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# test_api_gateway.py requires the `boto3` and `botocore` modules
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boto3 = pytest.importorskip('boto3')
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@pytest.fixture(scope='module')
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def dp_setup():
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"""
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Yield a FakeModule object, data pipeline id of a vanilla data pipeline, and data pipeline objects
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This fixture is module-scoped, since this can be reused for multiple tests.
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"""
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Dependencies = collections.namedtuple("Dependencies", ["module", "data_pipeline_id", "objects"])
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# get objects to use to test populating and activating the data pipeline
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if not os.getenv('PLACEBO_RECORD'):
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objects = [{"name": "Every 1 day",
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"id": "DefaultSchedule",
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"fields": []},
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{"name": "Default",
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"id": "Default",
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"fields": []}]
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else:
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s3 = boto3.client('s3')
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data = s3.get_object(Bucket="ansible-test-datapipeline", Key="pipeline-object/new.json")
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objects = json.loads(to_text(data['Body'].read()))
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# create a module with vanilla data pipeline parameters
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params = {'name': 'ansible-test-create-pipeline',
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'description': 'ansible-datapipeline-unit-test',
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'state': 'present',
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'timeout': 300,
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'objects': [],
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'tags': {},
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'parameters': [],
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'values': []}
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module = FakeModule(**params)
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# yield a module, the data pipeline id, and the data pipeline objects (that are not yet defining the vanilla data pipeline)
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if not os.getenv('PLACEBO_RECORD'):
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yield Dependencies(module=module, data_pipeline_id='df-0590406117G8DPQZY2HA', objects=objects)
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else:
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connection = boto3.client('datapipeline')
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changed, result = data_pipeline.create_pipeline(connection, module)
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data_pipeline_id = result['data_pipeline']['pipeline_id']
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yield Dependencies(module=module, data_pipeline_id=data_pipeline_id, objects=objects)
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# remove data pipeline
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if os.getenv('PLACEBO_RECORD'):
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module.params.update(state='absent')
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data_pipeline.delete_pipeline(connection, module)
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class FakeModule(object):
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def __init__(self, **kwargs):
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self.params = kwargs
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def fail_json(self, *args, **kwargs):
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self.exit_args = args
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self.exit_kwargs = kwargs
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raise Exception('FAIL')
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def exit_json(self, *args, **kwargs):
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self.exit_args = args
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self.exit_kwargs = kwargs
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def test_create_pipeline_already_exists(placeboify, maybe_sleep, dp_setup):
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connection = placeboify.client('datapipeline')
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changed, result = data_pipeline.create_pipeline(connection, dp_setup.module)
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assert changed is False
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assert "Data Pipeline ansible-test-create-pipeline is present" in result['msg']
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def test_pipeline_field(placeboify, maybe_sleep, dp_setup):
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connection = placeboify.client('datapipeline')
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pipeline_field_info = data_pipeline.pipeline_field(connection, dp_setup.data_pipeline_id, "@pipelineState")
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assert pipeline_field_info == "PENDING"
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def test_define_pipeline(placeboify, maybe_sleep, dp_setup):
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connection = placeboify.client('datapipeline')
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changed, result = data_pipeline.define_pipeline(connection, dp_setup.module, dp_setup.objects, dp_setup.data_pipeline_id)
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assert 'has been updated' in result
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def test_deactivate_pipeline(placeboify, maybe_sleep, dp_setup):
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connection = placeboify.client('datapipeline')
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changed, result = data_pipeline.deactivate_pipeline(connection, dp_setup.module)
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assert "Data Pipeline ansible-test-create-pipeline deactivated" in result['msg']
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def test_activate_without_population(placeboify, maybe_sleep, dp_setup):
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connection = placeboify.client('datapipeline')
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with pytest.raises(Exception) as error_message:
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changed, result = data_pipeline.activate_pipeline(connection, dp_setup.module)
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assert error_message == "You need to populate your pipeline before activation."
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def test_create_pipeline(placeboify, maybe_sleep):
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connection = placeboify.client('datapipeline')
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params = {'name': 'ansible-unittest-create-pipeline',
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'description': 'ansible-datapipeline-unit-test',
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'state': 'present',
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'timeout': 300,
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'tags': {}}
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m = FakeModule(**params)
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changed, result = data_pipeline.create_pipeline(connection, m)
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assert changed is True
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assert result['msg'] == "Data Pipeline ansible-unittest-create-pipeline created."
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data_pipeline.delete_pipeline(connection, m)
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def test_create_pipeline_with_tags(placeboify, maybe_sleep):
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connection = placeboify.client('datapipeline')
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params = {'name': 'ansible-unittest-create-pipeline_tags',
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'description': 'ansible-datapipeline-unit-test',
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'state': 'present',
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'tags': {'ansible': 'test'},
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'timeout': 300}
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m = FakeModule(**params)
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changed, result = data_pipeline.create_pipeline(connection, m)
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assert changed is True
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assert result['msg'] == "Data Pipeline ansible-unittest-create-pipeline_tags created."
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data_pipeline.delete_pipeline(connection, m)
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def test_delete_nonexistent_pipeline(placeboify, maybe_sleep):
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connection = placeboify.client('datapipeline')
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params = {'name': 'ansible-test-nonexistent',
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'description': 'ansible-test-nonexistent',
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'state': 'absent',
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'objects': [],
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'tags': {'ansible': 'test'},
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'timeout': 300}
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m = FakeModule(**params)
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changed, result = data_pipeline.delete_pipeline(connection, m)
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assert changed is False
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def test_delete_pipeline(placeboify, maybe_sleep):
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connection = placeboify.client('datapipeline')
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params = {'name': 'ansible-test-nonexistent',
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'description': 'ansible-test-nonexistent',
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'state': 'absent',
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'objects': [],
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'tags': {'ansible': 'test'},
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'timeout': 300}
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m = FakeModule(**params)
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data_pipeline.create_pipeline(connection, m)
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changed, result = data_pipeline.delete_pipeline(connection, m)
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assert changed is True
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def test_build_unique_id_different():
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m = FakeModule(**{'name': 'ansible-unittest-1', 'description': 'test-unique-id'})
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m2 = FakeModule(**{'name': 'ansible-unittest-1', 'description': 'test-unique-id-different'})
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assert data_pipeline.build_unique_id(m) != data_pipeline.build_unique_id(m2)
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def test_build_unique_id_same():
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m = FakeModule(**{'name': 'ansible-unittest-1', 'description': 'test-unique-id', 'tags': {'ansible': 'test'}})
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m2 = FakeModule(**{'name': 'ansible-unittest-1', 'description': 'test-unique-id', 'tags': {'ansible': 'test'}})
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assert data_pipeline.build_unique_id(m) == data_pipeline.build_unique_id(m2)
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def test_build_unique_id_obj():
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# check that the object can be different and the unique id should be the same; should be able to modify objects
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m = FakeModule(**{'name': 'ansible-unittest-1', 'objects': [{'first': 'object'}]})
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m2 = FakeModule(**{'name': 'ansible-unittest-1', 'objects': [{'second': 'object'}]})
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assert data_pipeline.build_unique_id(m) == data_pipeline.build_unique_id(m2)
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def test_format_tags():
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unformatted_tags = {'key1': 'val1', 'key2': 'val2', 'key3': 'val3'}
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formatted_tags = data_pipeline.format_tags(unformatted_tags)
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for tag_set in formatted_tags:
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assert unformatted_tags[tag_set['key']] == tag_set['value']
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def test_format_empty_tags():
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unformatted_tags = {}
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formatted_tags = data_pipeline.format_tags(unformatted_tags)
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assert formatted_tags == []
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def test_pipeline_description(placeboify, maybe_sleep, dp_setup):
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connection = placeboify.client('datapipeline')
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dp_id = dp_setup.data_pipeline_id
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pipelines = data_pipeline.pipeline_description(connection, dp_id)
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assert dp_id == pipelines['pipelineDescriptionList'][0]['pipelineId']
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def test_pipeline_description_nonexistent(placeboify, maybe_sleep):
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hypothetical_pipeline_id = "df-015440025PF7YGLDK47C"
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connection = placeboify.client('datapipeline')
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with pytest.raises(Exception) as error:
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data_pipeline.pipeline_description(connection, hypothetical_pipeline_id)
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assert error == data_pipeline.DataPipelineNotFound
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def test_check_dp_exists_true(placeboify, maybe_sleep, dp_setup):
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connection = placeboify.client('datapipeline')
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exists = data_pipeline.check_dp_exists(connection, dp_setup.data_pipeline_id)
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assert exists is True
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def test_check_dp_exists_false(placeboify, maybe_sleep):
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hypothetical_pipeline_id = "df-015440025PF7YGLDK47C"
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connection = placeboify.client('datapipeline')
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exists = data_pipeline.check_dp_exists(connection, hypothetical_pipeline_id)
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assert exists is False
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def test_check_dp_status(placeboify, maybe_sleep, dp_setup):
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inactive_states = ['INACTIVE', 'PENDING', 'FINISHED', 'DELETING']
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connection = placeboify.client('datapipeline')
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state = data_pipeline.check_dp_status(connection, dp_setup.data_pipeline_id, inactive_states)
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assert state is True
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def test_activate_pipeline(placeboify, maybe_sleep, dp_setup):
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# use objects to define pipeline before activating
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connection = placeboify.client('datapipeline')
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data_pipeline.define_pipeline(connection,
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module=dp_setup.module,
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objects=dp_setup.objects,
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dp_id=dp_setup.data_pipeline_id)
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changed, result = data_pipeline.activate_pipeline(connection, dp_setup.module)
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assert changed is True
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