def test_tagwise(candu_db_restore, interval, graph_type, gp_by, host):
"""Tests for grouping host graphs by VM tag for hourly and Daily intervals
prerequisites:
* DB from an appliance on which C&U is enabled
* DB should have C&U data collection enabled for Tag category
* DB should have a VM tagged with proper tag category
Steps:
* Navigate to Host Utilization Page
* Select interval(Hourly or Daily)
* Select group by option with VM tag
* Check graph displayed or not
* Zoom graph to get Table
* Check tag assigned to VM available in chart legends
* Compare table and graph data
Bugzilla:
1367560
Polarion:
assignee: nachandr
initialEstimate: 1/4h
casecomponent: CandU
"""
view = navigate_to(host, 'candu')
data = {'interval': interval, 'group_by': gp_by}
view.options.fill(data)
# Check graph displayed or not
try:
graph = getattr(view.interval_type, graph_type)
except AttributeError:
pytest.fail('{} graph was not displayed'.format(graph_type))
assert graph.is_displayed
graph.zoom_in()
view = view.browser.create_view(UtilizationZoomView)
# check for chart and tag London available or not in legend list.
view.flush_widget_cache()
assert view.chart.is_displayed
legends = view.chart.all_legends
assert "London" in legends
# compare graph and table data
graph_data = view.chart.all_data
# Clear cache of table widget before read else it will mismatch headers.
view.table.clear_cache()
table_data = view.table.read()
compare_data_with_unit(table_data=table_data,
graph_data=graph_data,
legends=legends)
def test_tagwise(candu_db_restore, interval, graph_type, gp_by, host):
"""Tests for grouping host graphs by VM tag for hourly and Daily intervals
prerequisites:
* DB from an appliance on which C&U is enabled
* DB should have C&U data collection enabled for Tag category
* DB should have a VM tagged with proper tag category
Steps:
* Navigate to Host Utilization Page
* Select interval(Hourly or Daily)
* Select group by option with VM tag
* Check graph displayed or not
* Zoom graph to get Table
* Check tag assigned to VM available in chart legends
* Compare table and graph data
Bugzillas:
* 1367560
Polarion:
assignee: nachandr
initialEstimate: 1/4h
casecomponent: CandU
"""
view = navigate_to(host, 'candu')
data = {'interval': interval, 'group_by': gp_by}
view.options.fill(data)
# Check graph displayed or not
try:
graph = getattr(view.interval_type, graph_type)
except AttributeError:
pytest.fail('{} graph was not displayed'.format(graph_type))
assert graph.is_displayed
graph.zoom_in()
view = view.browser.create_view(UtilizationZoomView)
# check for chart and tag London available or not in legend list.
view.flush_widget_cache()
assert view.chart.is_displayed
legends = view.chart.all_legends
assert "London" in legends
# compare graph and table data
graph_data = view.chart.all_data
# Clear cache of table widget before read else it will mismatch headers.
view.table.clear_cache()
table_data = view.table.read()
compare_data_with_unit(table_data=table_data, graph_data=graph_data, legends=legends)
def test_tagwise(provider, interval, graph_type, gp_by, candu_tag_vm,
enable_candu):
"""Test Host graphs group by VM tag for hourly and Daily
prerequisites:
* C&U enabled appliance
* C&U data collection enabled for Tag category
* VM should be taged with proper tag category
Steps:
* Capture historical data for host and vm
* Navigate to Host Utilization Page
* Select interval(Hourly or Daily)
* Select group by option with VM tag
* Check graph displayed or not
* Zoom graph to get Table
* Check tag assigned to VM available in chart legends
* Compare table and graph data
Bugzillas:
* 1367560
"""
# Capture historical data for cu-24x7 and its host
candu_tag_vm.capture_historical_data()
host = candu_tag_vm.host
host.capture_historical_data()
host.wait_candu_data_available(timeout=1500)
provider.refresh_provider_relationships()
view = navigate_to(host, 'candu')
back_date = datetime.now() - timedelta(days=1)
data = {'interval': interval, 'group_by': gp_by}
# Note: If we won't choose backdate then we have wait for 30min at least for metric collection
if interval == "Hourly":
data.update({"calendar": back_date})
view.options.fill(data)
# Check graph displayed or not
try:
graph = getattr(view.interval_type, graph_type)
except AttributeError as e:
logger.error(e)
assert graph.is_displayed
def refresh():
provider.refresh_provider_relationships()
host.capture_historical_data()
provider.browser.refresh()
view.wait_displayed(timeout='20s')
view.options.fill(data)
# wait, for specific vm tag data. It take time to reload metrics with specific vm tag.
wait_for(lambda: "London" in graph.all_legends,
delay=120,
timeout=1500,
fail_func=refresh)
graph.zoom_in()
view = view.browser.create_view(UtilizationZoomView)
# check for chart and tag London available or not in legend list.
view.flush_widget_cache()
assert view.chart.is_displayed
legends = view.chart.all_legends
assert "London" in legends
# compare graph and table data
graph_data = view.chart.all_data
# Clear cache of table widget before read else it will mismatch headers.
view.table.clear_cache()
table_data = view.table.read()
compare_data_with_unit(table_data=table_data,
graph_data=graph_data,
legends=legends)
def test_tagwise(provider, interval, graph_type, gp_by, candu_tag_vm, enable_candu):
"""Test Host graphs group by VM tag for hourly and Daily
prerequisites:
* C&U enabled appliance
* C&U data collection enabled for Tag category
* VM should be taged with proper tag category
Steps:
* Capture historical data for host and vm
* Navigate to Host Utilization Page
* Select interval(Hourly or Daily)
* Select group by option with VM tag
* Check graph displayed or not
* Zoom graph to get Table
* Check tag assigned to VM available in chart legends
* Compare table and graph data
Bugzillas:
* 1367560
Polarion:
assignee: nachandr
initialEstimate: 1/4h
"""
# Capture historical data for cu-24x7 and its host
candu_tag_vm.capture_historical_data()
host = candu_tag_vm.host
host.capture_historical_data()
host.wait_candu_data_available(timeout=1500)
provider.refresh_provider_relationships()
view = navigate_to(host, 'candu')
back_date = datetime.now() - timedelta(days=1)
data = {'interval': interval, 'group_by': gp_by}
# Note: If we won't choose backdate then we have wait for 30min at least for metric collection
if interval == "Hourly":
data.update({"calendar": back_date})
view.options.fill(data)
# Check graph displayed or not
try:
graph = getattr(view.interval_type, graph_type)
except AttributeError as e:
logger.error(e)
assert graph.is_displayed
def refresh():
provider.refresh_provider_relationships()
host.capture_historical_data()
provider.browser.refresh()
view.wait_displayed(timeout='20s')
view.options.fill(data)
# wait, for specific vm tag data. It take time to reload metrics with specific vm tag.
wait_for(lambda: "London" in graph.all_legends,
delay=120, timeout=1500, fail_func=refresh)
graph.zoom_in()
view = view.browser.create_view(UtilizationZoomView)
# check for chart and tag London available or not in legend list.
view.flush_widget_cache()
assert view.chart.is_displayed
legends = view.chart.all_legends
assert "London" in legends
# compare graph and table data
graph_data = view.chart.all_data
# Clear cache of table widget before read else it will mismatch headers.
view.table.clear_cache()
table_data = view.table.read()
compare_data_with_unit(table_data=table_data, graph_data=graph_data, legends=legends)