def dp_setup():
"""
Yield a FakeModule object, data pipeline id of a vanilla data pipeline, and data pipeline objects
This fixture is module-scoped, since this can be reused for multiple tests.
"""
Dependencies = collections.namedtuple(
"Dependencies", ["module", "data_pipeline_id", "objects"])
# get objects to use to test populating and activating the data pipeline
if not os.getenv('PLACEBO_RECORD'):
objects = [{
"name": "Every 1 day",
"id": "DefaultSchedule",
"fields": []
}, {
"name": "Default",
"id": "Default",
"fields": []
}]
else:
s3 = boto3.client('s3')
data = s3.get_object(Bucket="ansible-test-datapipeline",
Key="pipeline-object/new.json")
objects = json.loads(to_text(data['Body'].read()))
# create a module with vanilla data pipeline parameters
params = {
'name': 'ansible-test-create-pipeline',
'description': 'ansible-datapipeline-unit-test',
'state': 'present',
'timeout': 300,
'objects': [],
'tags': {},
'parameters': [],
'values': []
}
module = FakeModule(**params)
# yield a module, the data pipeline id, and the data pipeline objects (that are not yet defining the vanilla data pipeline)
if not os.getenv('PLACEBO_RECORD'):
yield Dependencies(module=module,
data_pipeline_id='df-0590406117G8DPQZY2HA',
objects=objects)
else:
connection = boto3.client('datapipeline')
changed, result = data_pipeline.create_pipeline(connection, module)
data_pipeline_id = result['data_pipeline']['pipeline_id']
yield Dependencies(module=module,
data_pipeline_id=data_pipeline_id,
objects=objects)
# remove data pipeline
if os.getenv('PLACEBO_RECORD'):
module.params.update(state='absent')
data_pipeline.delete_pipeline(connection, module)
def test_create_pipeline_with_tags(placeboify, maybe_sleep):
connection = placeboify.client('datapipeline')
params = {'name': 'ansible-unittest-create-pipeline_tags',
'description': 'ansible-datapipeline-unit-test',
'state': 'present',
'tags': {'ansible': 'test'},
'timeout': 300}
m = FakeModule(**params)
changed, result = data_pipeline.create_pipeline(connection, m)
assert changed is True
assert result['msg'] == "Data Pipeline ansible-unittest-create-pipeline_tags created."
data_pipeline.delete_pipeline(connection, m)
def test_create_pipeline(placeboify, maybe_sleep):
connection = placeboify.client('datapipeline')
params = {
'name': 'ansible-unittest-create-pipeline',
'description': 'ansible-datapipeline-unit-test',
'state': 'present',
'timeout': 300,
'tags': {}
}
m = FakeModule(**params)
changed, result = data_pipeline.create_pipeline(connection, m)
assert changed is True
assert result[
'msg'] == "Data Pipeline ansible-unittest-create-pipeline created."
data_pipeline.delete_pipeline(connection, m)
def dp_setup():
"""
Yield a FakeModule object, data pipeline id of a vanilla data pipeline, and data pipeline objects
This fixture is module-scoped, since this can be reused for multiple tests.
"""
Dependencies = collections.namedtuple("Dependencies", ["module", "data_pipeline_id", "objects"])
# get objects to use to test populating and activating the data pipeline
if not os.getenv('PLACEBO_RECORD'):
objects = [{"name": "Every 1 day",
"id": "DefaultSchedule",
"fields": []},
{"name": "Default",
"id": "Default",
"fields": []}]
else:
s3 = boto3.client('s3')
data = s3.get_object(Bucket="ansible-test-datapipeline", Key="pipeline-object/new.json")
objects = json.loads(to_text(data['Body'].read()))
# create a module with vanilla data pipeline parameters
params = {'name': 'ansible-test-create-pipeline',
'description': 'ansible-datapipeline-unit-test',
'state': 'present',
'timeout': 300,
'objects': [],
'tags': {},
'parameters': [],
'values': []}
module = FakeModule(**params)
# yield a module, the data pipeline id, and the data pipeline objects (that are not yet defining the vanilla data pipeline)
if not os.getenv('PLACEBO_RECORD'):
yield Dependencies(module=module, data_pipeline_id='df-0590406117G8DPQZY2HA', objects=objects)
else:
connection = boto3.client('datapipeline')
changed, result = data_pipeline.create_pipeline(connection, module)
data_pipeline_id = result['data_pipeline']['pipeline_id']
yield Dependencies(module=module, data_pipeline_id=data_pipeline_id, objects=objects)
# remove data pipeline
if os.getenv('PLACEBO_RECORD'):
module.params.update(state='absent')
data_pipeline.delete_pipeline(connection, module)
def test_delete_nonexistent_pipeline(placeboify, maybe_sleep):
connection = placeboify.client('datapipeline')
params = {'name': 'ansible-test-nonexistent',
'description': 'ansible-test-nonexistent',
'state': 'absent',
'objects': [],
'tags': {'ansible': 'test'},
'timeout': 300}
m = FakeModule(**params)
changed, result = data_pipeline.delete_pipeline(connection, m)
assert changed is False
def test_delete_nonexistent_pipeline(placeboify, maybe_sleep):
connection = placeboify.client('datapipeline')
params = {
'name': 'ansible-test-nonexistent',
'description': 'ansible-test-nonexistent',
'state': 'absent',
'objects': [],
'tags': {
'ansible': 'test'
},
'timeout': 300
}
m = FakeModule(**params)
changed, result = data_pipeline.delete_pipeline(connection, m)
assert changed is False
