def test_data_set_create_exist(data_set_type, quicksight_application_stub):
# stub
data_source = DataSource(
quicksight_application=quicksight_application_stub, props=None)
data_source.arn = "STUBBED_DATA_SOURCE_ARN"
quicksight_application_stub.data_source = data_source
sub_type = data_set_type
obj = DataSet(
data_source=data_source,
data_set_sub_type=sub_type,
props=None,
quicksight_application=quicksight_application_stub,
)
DataSetStubber.stub_create_data_set_error_call(sub_type)
DataSetStubber.stub_describe_data_set_call(sub_type)
# Function under test
response = obj.create()
# This response is the response to describe_data_source as the code is remaps the response
assert response
# The describe_data_set reponse does not provide a status at the DataSet level, such
# as "Status": "CREATION_SUCCESSFUL"
# Therefore, we verify CreatedTime not being None
assert response["CreatedTime"]
assert obj.arn
def test_data_set_create_invalid_parameter(data_set_type,
quicksight_application_stub):
# stub
data_source = DataSource(
quicksight_application=quicksight_application_stub, props=None)
data_source.arn = "STUBBED_DATA_SOURCE_ARN"
quicksight_application_stub.data_source = data_source
sub_type = data_set_type
obj = DataSet(
data_source=data_source,
data_set_sub_type=sub_type,
props=None,
quicksight_application=quicksight_application_stub,
)
[
DataSetStubber.stub_create_data_source_error_invalid_parameter_call(
sub_type) for _ in range(3)
]
response = None
with pytest.raises(tenacity.RetryError):
# Function under test
response = obj.create()
assert not response
def test_data_source_delete(quicksight_application_stub):
obj = DataSource(quicksight_application=quicksight_application_stub,
props=None)
dump_state(obj)
sub_type = 'main'
dump_state(obj, 'Before delete')
DataSourceStubber.stub_delete_data_source_call(sub_type)
obj.delete()
dump_state(obj, 'After delete')
def test_data_source_create(quicksight_application_stub):
obj = DataSource(quicksight_application=quicksight_application_stub,
props=None)
assert obj.athena_workgroup
assert obj.athena_workgroup == "primary"
dump_state(obj)
sub_type = 'main'
dump_state(obj, 'Before create')
DataSourceStubber.stub_create_data_source_call(sub_type)
response = obj.create()
assert response
assert response["Status"] in [202]
assert response["CreationStatus"] in ["CREATION_IN_PROGRESS"]
assert obj.arn
dump_state(obj, 'After create')
def test_data_source_create_exist(quicksight_application_stub):
obj = DataSource(quicksight_application=quicksight_application_stub,
props=None)
assert obj.athena_workgroup
assert obj.athena_workgroup == "primary"
sub_type = "main"
DataSourceStubber.stub_create_data_source_error_call(sub_type)
DataSourceStubber.stub_describe_data_source_call(sub_type)
# Function under test
response = obj.create()
# This response is the response to describe_data_source as the code is remaps the response
assert response
assert response["Status"] in ["CREATION_SUCCESSFUL"]
assert obj.arn
def test_data_set_create_all_data_set_types(data_set_type, quicksight_application_stub):
data_source = DataSource(quicksight_application=quicksight_application_stub, props=None)
# stub
data_source.arn = "STUBBED_DATA_SOURCE_ARN"
quicksight_application_stub.data_source = data_source
data_set = DataSet(
data_source=data_source,
data_set_sub_type=data_set_type,
data_set_name=f"_{data_set_type}_DataSet",
props=None,
quicksight_application=quicksight_application_stub
)
dump_state(data_set, 'Before create')
DataSetStubber.stub_create_data_set(data_set_type)
data_set.create()
dump_state(data_set, 'After create')
def test_data_set_init_all_data_set_types(data_set_type, quicksight_application_stub):
data_source = DataSource(quicksight_application=quicksight_application_stub, props=None)
data_set = DataSet(
data_source=data_source,
data_set_sub_type=data_set_type,
data_set_name=f"_{data_set_type}_DataSet",
props=None,
quicksight_application=quicksight_application_stub
)
dump_state(data_set, 'After initialization')
def test_data_set_get_data(quicksight_application_stub, data_set_type):
data_source = DataSource(quicksight_application=quicksight_application_stub, props=None)
data_set = DataSet(
data_source=data_source,
data_set_sub_type=data_set_type,
data_set_name=f"_{data_set_type}_DataSet",
props=None,
quicksight_application=quicksight_application_stub
)
assert repr(data_set) == "{'id': 'DHT_Unit_Test_dataset', 'name': 'DHT_Unit_Test_dataset', 'arn': None}"
def test_data_set_invalid_sub_type(quicksight_application_stub):
data_source = DataSource(
quicksight_application=quicksight_application_stub, props=None)
invalid_sub_type = "TEST_INVALID_SUB_TYPE"
data_set = DataSet(
data_source=data_source,
data_set_sub_type=invalid_sub_type,
props=None,
quicksight_application=quicksight_application_stub,
)
with pytest.raises(Exception):
data_set.create()
def test_data_set_delete_all_data_set_types(data_set_type, quicksight_application_stub):
data_source = DataSource(quicksight_application=quicksight_application_stub, props=None)
# stub
data_source.arn = "STUBBED_DATA_SOURCE_ARN"
quicksight_application_stub.data_source = data_source
logger.info(f'Initializing dataset object for type: {data_set_type}')
data_set = DataSet(
data_source=data_source,
data_set_sub_type=data_set_type,
data_set_name=f"_{data_set_type}_DataSet",
props=None,
quicksight_application=quicksight_application_stub
)
logger.debug(f'After initializing dataset object for type: {data_set_type}')
dump_state(data_set, 'Before delete')
DataSetStubber.stub_delete_data_set(data_set_type)
data_set.delete()
dump_state(data_set, 'After delete')
def mininmal_data_source_stub(request):
class GenericTestStub:
pass
# stubs
quicksight_application_stub = GenericTestStub()
quicksight_application_stub.prefix = "SOLUTION_UT"
quicksight_application_stub.quicksight_principal_arn = "arn:MOCK_ARN"
# We use the real object here but with a stubbed quicksight_application
data_source_stub = DataSource(
quicksight_application=quicksight_application_stub, props=None)
quicksight_application_stub.data_source = data_source_stub
return data_source_stub
def test_data_set_get_data(quicksight_application_stub, data_set_type):
data_source = DataSource(
quicksight_application=quicksight_application_stub, props=None)
data_set = DataSet(
data_source=data_source,
data_set_sub_type=data_set_type,
props=None,
quicksight_application=quicksight_application_stub,
)
expected_name = f"DHT_Unit_Test-dataset-{data_set_type}"
assert data_set.get_data() == {
"id":
f"{expected_name}",
"name":
expected_name,
"arn":
f"arn:aws:quicksight:us-east-1:MOCK_ACCOUNT:dataset/{expected_name}",
}
def test_data_source_init(quicksight_application_stub):
obj = DataSource(quicksight_application=quicksight_application_stub,
props=None)
dump_state(obj)
def __init__(self, resource_properties):
# TODO: use the config data / file to figure out the supported_data_set_types
supported_data_set_types = ['sentiment', 'image-text', 'text', 'topic']
self.resource_properties = resource_properties
self.global_state = get_global_state()
# use config data file if provided
config_file = resource_properties.get('ConfigDataFile', None)
if config_file:
data = read_config(config_file)
self.global_state.update(data)
# TODO:RENAME: 'StackName' key name as this could be used out of stack. ApplicationName?
# TODO: create/use a uuid if no attack provided
self.prefix = resource_properties.get('StackName', 'Sample_Sol')
# TODO:RENAME: quicksight_template_arn -> quicksight_source_template_arn
self.quicksight_template_arn = resource_properties.get(
'QuickSightSourceTemplateArn',
'Uninitialized QuickSightSourceTemplateArn')
logger.debug(
f'Using QuickSightSourceTemplateArn: {self.quicksight_template_arn }'
)
self.quicksight_principal_arn = resource_properties.get(
'QuickSightPrincipalArn', 'Uninitialized QuickSightPrincipalArn')
logger.debug(
f'Using QuickSightPrincipalArn: {self.quicksight_principal_arn }')
self.data_source = DataSource(quicksight_application=self,
props=self.global_state)
self.data_source.athena_workgroup = resource_properties.get(
'WorkGroupName', 'primary')
self.data_set_sub_types = supported_data_set_types
self.data_sets = dict()
for data_set_sub_type in self.data_set_sub_types:
data_set = DataSet(quicksight_application=self,
data_source=self.data_source,
data_set_sub_type=data_set_sub_type,
data_set_name=f"_{data_set_sub_type}_dataset",
props=self.global_state)
self.data_sets[data_set_sub_type] = data_set
self.analysis = Analysis(
quicksight_application=self,
data_sets=self.data_sets,
quicksight_template_arn=self.quicksight_template_arn,
data_source=self.data_source,
props=self.global_state)
self.dashboard = Dashboard(
quicksight_application=self,
data_sets=self.data_sets,
quicksight_template_arn=self.quicksight_template_arn,
props=self.global_state)
self.template = Template(quicksight_application=self,
data_sets=self.data_sets,
props=self.global_state)
global_state_json = json.dumps(self.global_state,
indent=2,
sort_keys=True)
logger.debug(
f'QuicksightApi: after init, global data json: {global_state_json}'
)
def __init__(self, resource_properties):
# TODO: use the config data / file to figure out the supported_data_set_types
supported_data_set_types = [
"image-text", "topic", "image-moderation-label", "geo",
"topic-mapping", "feed"
]
self.resource_properties = resource_properties
self.global_state = get_global_state()
# use config data file if provided
config_file = resource_properties.get("ConfigDataFile", None)
if config_file:
data = read_config(config_file)
self.global_state.update(data)
self.prefix = resource_properties.get("StackName", "Sample_Sol")
# TODO:RENAME: quicksight_template_arn -> quicksight_source_template_arn
self.quicksight_template_arn = resource_properties.get(
"QuickSightSourceTemplateArn",
"Uninitialized QuickSightSourceTemplateArn")
logger.debug(
f"Using QuickSightSourceTemplateArn: {self.quicksight_template_arn }"
)
self.quicksight_principal_arn = resource_properties.get(
"QuickSightPrincipalArn", "Uninitialized QuickSightPrincipalArn")
logger.debug(
f"Using QuickSightPrincipalArn: {self.quicksight_principal_arn }")
self.data_source = DataSource(quicksight_application=self,
props=self.global_state)
self.data_source.athena_workgroup = resource_properties.get(
"WorkGroupName", "primary")
self.data_set_sub_types = supported_data_set_types
self.data_sets = dict()
for data_set_sub_type in self.data_set_sub_types:
data_set = DataSet(
quicksight_application=self,
data_source=self.data_source,
data_set_sub_type=data_set_sub_type,
props=self.global_state,
)
self.data_sets[data_set_sub_type] = data_set
self.analysis = Analysis(
quicksight_application=self,
data_sets=self.data_sets,
quicksight_template_arn=self.quicksight_template_arn,
data_source=self.data_source,
props=self.global_state,
)
self.dashboard = Dashboard(
quicksight_application=self,
data_source=self.data_source,
data_sets=self.data_sets,
quicksight_template_arn=self.quicksight_template_arn,
props=self.global_state,
)
self.template = Template(quicksight_application=self,
data_sets=self.data_sets,
props=self.global_state)
global_state_json = json.dumps(self.global_state,
indent=2,
sort_keys=True)
logger.debug(
f"QuicksightApi: after init, global data json: {global_state_json}"
)
