def test_dashboard_create_with_filters_with_multiple_variables_success(sfx_recorder, session, chart):
app_var = FilterVariable().with_alias('app') \
.with_property('app') \
.with_is_required(True) \
.with_value('bar')
env_var = FilterVariable().with_alias('env') \
.with_property('env') \
.with_is_required(True) \
.with_value('prod')
dashboard_filter = DashboardFilters() \
.with_variables(app_var, env_var)
with sfx_recorder.use_cassette('dashboard_create_with_filters_with_multiple_variables_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 test_dashboard_create_with_filters_with_unexpected_data_type_failure(session, chart):
with pytest.raises(ValueError):
app_var = FilterVariable().with_alias('app') \
.with_is_required("THIS SHOULD BE BOOLEAN NOT A STRING") \
.with_value('bar')
dashboard_filter = DashboardFilters() \
.with_variables(app_var)
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_with_missing_property_failure(session, chart):
with pytest.raises(ValueError):
app_var = FilterVariable().with_alias('app') \
.with_is_required(True) \
.with_value('bar')
dashboard_filter = DashboardFilters() \
.with_variables(app_var)
Dashboard(session=session)\
.with_name('testy mctesterson')\
.with_api_token('foo')\
.with_charts(chart('lol'))\
.with_filters(dashboard_filter)\
.create()
def test_dashboard_update_with_filters_success():
app_var = FilterVariable().with_alias('app') \
.with_property('app') \
.with_is_required(True) \
.with_value('bar')
env_var = FilterVariable().with_alias('env') \
.with_property('env') \
.with_is_required(True) \
.with_value('prod')
dashboard_filter = DashboardFilters() \
.with_variables(app_var, env_var)
with global_recorder.use_cassette('dashboard_update_with_filters_success',
serialize_with='prettyjson'):
# This Dashboard does not exist. So, a new dashboard should be created
Dashboard(session=global_session)\
.with_name('testy mctesterson')\
.with_api_token('foo')\
.with_charts(mk_chart('lol'))\
.with_filters(dashboard_filter)\
.update()
def test_dashboard_create_with_filters_with_one_variable_success():
app_var = FilterVariable().with_alias('app') \
.with_property('app') \
.with_is_required(True) \
.with_value('bar')
dashboard_filter = DashboardFilters() \
.with_variables(app_var)
with global_recorder.use_cassette(
'dashboard_create_with_filters_with_one_variable_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_update_existing_dashboard_with_filters_success(sfx_recorder, session, chart):
app_var = FilterVariable().with_alias('app') \
.with_property('app') \
.with_is_required(True) \
.with_value('bar1', 'bar2')
dashboard_filter = DashboardFilters() \
.with_variables(app_var)
with sfx_recorder.use_cassette('dashboard_update_with_filters_success',
serialize_with='prettyjson'):
# This Dashboard already exists. So, it will be updated
Dashboard(session=session)\
.with_name('testy mctesterson')\
.with_api_token('foo')\
.with_charts(chart('lol'))\
.with_filters(dashboard_filter)\
.update()
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"))
)
from signal_analog.flow import Data, Filter
from signal_analog.charts import TimeSeriesChart
from signal_analog.dashboards import Dashboard
from signal_analog.combinators import And
from signal_analog.filters import DashboardFilters, FilterVariable, FilterSource, FilterTime
"""
Example 1: Creating a new Dashboard with Filter Variable
This creates a new dashboard for the app specified and with the charts provided and with the Dashboard Filter provided
"""
filters = And(Filter('app', 'my-app'), Filter('env', 'test'))
program = Data('cpu.utilization', filter=filters).publish()
chart = TimeSeriesChart().with_name('Chart_Name').with_program(program)
app_var = FilterVariable().with_alias('application name') \
.with_property('app') \
.with_is_required(True) \
.with_value('my-app')
app_filter = DashboardFilters() \
.with_variables(app_var)
dashboard_with_single_filter_variable = Dashboard()\
.with_name('Dashboard Name')\
.with_charts(chart)\
.with_filters(app_filter)
"""
Example 2: Creating a new Dashboard with multiple filters
"""
# With the same filters as above example,
program = Data('cpu.utilization', filter=filters).publish()
