def test_dashboard_create_with_filters_source_with_missing_property_and_value_failure(session, chart):
with pytest.raises(ValueError):
aws_src = FilterSource()
dashboard_filter = DashboardFilters() \
.with_sources(aws_src)
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_source_with_empty_value_failure():
with pytest.raises(ValueError):
aws_src = FilterSource() \
.with_property("aws_region") \
.with_value("")
dashboard_filter = DashboardFilters() \
.with_sources(aws_src)
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_source_success(sfx_recorder, session, chart):
aws_src = FilterSource()\
.with_property("aws_region")\
.with_value("us-west-2")
dashboard_filter = DashboardFilters()\
.with_sources(aws_src)
with sfx_recorder.use_cassette('dashboard_create_with_filters_source_success',
serialize_with='prettyjson'):
Dashboard(session=session)\
.with_name('testy mctesterson')\
.with_api_token('foo')\
.with_charts(chart('lol'))\
.with_filters(dashboard_filter)\
.create()
app_filter = DashboardFilters() \
.with_variables(app_var, env_var)
dashboard_with_multiple_filter_variables = Dashboard()\
.with_name('Dashboard With Multiple Filters')\
.with_charts(chart)\
.with_filters(app_filter)
"""
Example 3: Creating a new Dashboard with source filter
"""
# With the same filters as above example,
program = Data('cpu.utilization', filter=filters).publish()
chart = TimeSeriesChart().with_name('Chart_Name').with_program(program)
aws_src = FilterSource().with_property("aws_region").with_value('us-west-2')
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)
