def test_dashboard_create_with_filters_time_start_no_integer_after_negative_sign_failure(
session, chart):
with pytest.raises(ValueError):
time = FilterTime()\
.with_start("-zh")\
.with_end("Now")
dashboard_filter = DashboardFilters() \
.with_time(time)
Dashboard(session=session) \
.with_name('testy mctesterson') \
.with_api_token('foo') \
.with_charts(chart('lol')) \
.with_filters(dashboard_filter) \
.create()
def test_dashboard_create_with_filters_time_start_unexpected_last_character_failure(
session, chart):
with pytest.raises(ValueError):
time = FilterTime()\
.with_start("-1z")\
.with_end("Now")
dashboard_filter = DashboardFilters() \
.with_time(time)
Dashboard(session=session) \
.with_name('testy mctesterson') \
.with_api_token('foo') \
.with_charts(chart('lol')) \
.with_filters(dashboard_filter) \
.create()
def test_dashboard_create_with_filters_time_start_and_end_time_as_unsupported_data_type_failure(
session, chart):
with pytest.raises(ValueError):
time = FilterTime()\
.with_start(True)\
.with_end(False)
dashboard_filter = DashboardFilters() \
.with_time(time)
Dashboard(session=session) \
.with_name('testy mctesterson') \
.with_api_token('foo') \
.with_charts(chart('lol')) \
.with_filters(dashboard_filter) \
.create()
def test_dashboard_create_with_filters_time_start_and_end_time_as_different_data_types_failure(
session, chart):
with pytest.raises(ValueError):
time = FilterTime()\
.with_start(1523808000000)\
.with_end("Now")
dashboard_filter = DashboardFilters() \
.with_time(time)
Dashboard(session=session) \
.with_name('testy mctesterson') \
.with_api_token('foo') \
.with_charts(chart('lol')) \
.with_filters(dashboard_filter) \
.create()
def test_dashboard_create_with_filters_time_empty_end_time_failure(
session, chart):
with pytest.raises(ValueError):
time = FilterTime() \
.with_start('-1h') \
.with_end('')
dashboard_filter = DashboardFilters() \
.with_time(time)
Dashboard(session=session) \
.with_name('testy mctesterson') \
.with_api_token('foo') \
.with_charts(chart('lol')) \
.with_filters(dashboard_filter) \
.create()
def test_dashboard_create_with_filters_time_as_integer_success():
time = FilterTime()\
.with_start(1523721600000)\
.with_end(1523808000000)
dashboard_filter = DashboardFilters()\
.with_time(time)
with global_recorder.use_cassette(
'dashboard_create_with_filters_time_as_integer_success',
serialize_with='prettyjson'):
Dashboard(session=global_session)\
.with_name('testy mctesterson')\
.with_api_token('foo')\
.with_charts(mk_chart('lol'))\
.with_filters(dashboard_filter)\
.create()
def test_dashboard_create_with_filters_time_as_string_success(
sfx_recorder, session, chart):
time = FilterTime()\
.with_start("-1h")\
.with_end("Now")
dashboard_filter = DashboardFilters()\
.with_time(time)
with sfx_recorder.use_cassette(
'dashboard_create_with_filters_time_as_string_success',
serialize_with='prettyjson'):
Dashboard(session=session)\
.with_name('testy mctesterson')\
.with_api_token('foo')\
.with_charts(chart('lol'))\
.with_filters(dashboard_filter)\
.create()
def create_pipeline_dashboard(pipeline_name, resources):
"""
Creates a Dashboard for a Data Pipeline that is defined by a list of AwsResources
"""
charts = []
# When defining our Dashboard we could have just called the functions above to create the charts
# we wanted but instead we've further abstracted by defining AWS Resource Types that can now
# map to functions.
for resource in resources:
if resource.type == AwsResourceType.Lambda:
charts.extend(
create_lambda_charts(resource.name, resource.description))
elif resource.type == AwsResourceType.DynamoDb:
charts.extend(
create_dynamodb_charts(resource.name, resource.description))
elif resource.type == AwsResourceType.DynamoDbWithStream:
charts.extend(
create_dynamodb_with_stream_charts(resource.name,
resource.description))
elif resource.type == AwsResourceType.SqsQueue:
charts.extend(
create_sqs_charts(resource.name, resource.description))
elif resource.type == AwsResourceType.KinesisStream:
charts.extend(
create_kinesis_charts(resource.name, resource.description))
else:
raise ValueError("unknown type " + str(resource.type))
return Dashboard() \
.with_name(pipeline_name) \
.with_charts(*charts) \
.with_filters(
DashboardFilters() \
.with_variables(FilterVariable() \
.with_property("aws_account_id")
.with_alias("aws_account_id")
.with_value(aws_account_id)
.with_apply_if_exists(True))
.with_time(FilterTime().with_start("-7d").with_end("Now"))
)
app_filter = DashboardFilters() \
.with_sources(aws_src)
dashboard_with_source_filter = Dashboard()\
.with_name('Dashboard With Source Filter')\
.with_charts(chart)\
.with_filters(app_filter)
"""
Example 4: Creating a new Dashboard with time(as string) filter
"""
# With the same filters as above example,
program = Data('cpu.utilization', filter=filters).publish()
chart = TimeSeriesChart().with_name('Chart_Name').with_program(program)
time = FilterTime().with_start("-1h").with_end("Now")
app_filter = DashboardFilters() \
.with_time(time)
dashboard_with_time_as_string_filter = Dashboard()\
.with_name('Dashboard With Time as String Filter')\
.with_charts(chart)\
.with_filters(app_filter)
"""
Example 5: Creating a new Dashboard with time(as integer) filter
"""
# With the same filters as above example,
program = Data('cpu.utilization', filter=filters).publish()
chart = TimeSeriesChart().with_name('Chart_Name').with_program(program)