def __scenario_markup(scenario_name, scenario_config, metrics, dest_dir, run_id):
markup = ""
# add summary line here with core results for scenario, create and show scenario chart
peak_actions_per_sec = scenario_peak_core_actions_per_sec(scenario_name, metrics, scenario_config)
if not peak_actions_per_sec:
print("No data found for scenario (%s) %s" % (run_id, scenario_name))
markup += "<h3 style=\"font-weight: lighter\">No data found for scenario (%s) %s</h3><br/><br/><br/><br/><br/><br/><br/>" % (run_id, scenario_name)
return markup
peak_actions_per_sec_avg = report.arr_avg(peak_actions_per_sec, "actions_per_sec")
peak_active_clients = map(lambda row: row["proportional_clients_active"], peak_actions_per_sec)
# get peak users avg
peak_clients_avg = int(numpy.mean(peak_active_clients))
# Get whole test period chart for actions/s
core_action_metrics = __scenario_core_action_metrics(scenario_name, metrics, scenario_config)
actions_per_sec = __core_actions_per_sec(core_action_metrics, metrics, scenario_config)
sub_metrics = actions_per_sec
chart_title = "actions per sec"
y_label = "Actions/s"
y_key = "actions_per_sec"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config, run_id, y_label, y_key, peak_actions_per_sec_avg, peak_clients_avg, sub_metrics, metrics, dest_dir, True)
# peak period action/s chart
sub_metrics = peak_actions_per_sec
chart_title = "peak traffic actions"
y_label = "Actions/s"
y_key = "actions_per_sec"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config, run_id, y_label, y_key, peak_actions_per_sec_avg, peak_clients_avg, sub_metrics, metrics, dest_dir, False)
# Get whole test period chart for avg duration
app_page_metrics = __scenario_app_page_metrics(scenario_name, metrics, scenario_config)
sub_metrics = app_page_metrics
chart_title = "avg total duration"
y_label = "Avg total duration (s)"
y_key = "avg"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config, run_id, y_label, y_key, peak_actions_per_sec_avg, peak_clients_avg, sub_metrics, metrics, dest_dir, True)
# Get whole test period chart for avg core action duration
sub_metrics = core_action_metrics
chart_title = "core action duration"
y_label = "Avg duration (s)"
y_key = "avg"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config, run_id, y_label, y_key, peak_actions_per_sec_avg, peak_clients_avg, sub_metrics, metrics, dest_dir, True)
# Get whole test period chart for correctness
sub_metrics = __correctness_metrics(scenario_name, metrics, scenario_config)
chart_title = "correctness"
y_label = "Correctness (1 = 100% correct)"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config, run_id, y_label, y_key, peak_actions_per_sec_avg, peak_clients_avg, sub_metrics, metrics, dest_dir, True)
return markup
def __scenario_markup(scenario_name, scenario_config, metrics, dest_dir,
run_id):
markup = ""
# add summary line here with core results for scenario, create and show scenario chart
peak_actions_per_sec = scenario_peak_core_actions_per_sec(
scenario_name, metrics, scenario_config)
if not peak_actions_per_sec:
print("No data found for scenario (%s) %s" % (run_id, scenario_name))
markup += "<h3 style=\"font-weight: lighter\">No data found for scenario (%s) %s</h3><br/><br/><br/><br/><br/><br/><br/>" % (
run_id, scenario_name)
return markup
peak_actions_per_sec_avg = report.arr_avg(peak_actions_per_sec,
"actions_per_sec")
peak_active_clients = map(lambda row: row["proportional_clients_active"],
peak_actions_per_sec)
# get peak users avg
peak_clients_avg = int(numpy.mean(peak_active_clients))
# Get whole test period chart for actions/s
core_action_metrics = __scenario_core_action_metrics(
scenario_name, metrics, scenario_config)
actions_per_sec = __core_actions_per_sec(core_action_metrics, metrics,
scenario_config)
sub_metrics = actions_per_sec
chart_title = "actions per sec"
y_label = "Actions/s"
y_key = "actions_per_sec"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config,
run_id, y_label, y_key,
peak_actions_per_sec_avg, peak_clients_avg,
sub_metrics, metrics, dest_dir, True)
# peak period action/s chart
sub_metrics = peak_actions_per_sec
chart_title = "peak traffic actions"
y_label = "Actions/s"
y_key = "actions_per_sec"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config,
run_id, y_label, y_key,
peak_actions_per_sec_avg, peak_clients_avg,
sub_metrics, metrics, dest_dir, False)
# Get whole test period chart for avg duration
app_page_metrics = __scenario_app_page_metrics(scenario_name, metrics,
scenario_config)
sub_metrics = app_page_metrics
chart_title = "avg total duration"
y_label = "Avg total duration (s)"
y_key = "avg"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config,
run_id, y_label, y_key,
peak_actions_per_sec_avg, peak_clients_avg,
sub_metrics, metrics, dest_dir, True)
# Get whole test period chart for avg core action duration
sub_metrics = core_action_metrics
chart_title = "core action duration"
y_label = "Avg duration (s)"
y_key = "avg"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config,
run_id, y_label, y_key,
peak_actions_per_sec_avg, peak_clients_avg,
sub_metrics, metrics, dest_dir, True)
# Get whole test period chart for correctness
sub_metrics = __correctness_metrics(scenario_name, metrics,
scenario_config)
chart_title = "correctness"
y_label = "Correctness (1 = 100% correct)"
markup += __chart_and_markup(chart_title, scenario_name, scenario_config,
run_id, y_label, y_key,
peak_actions_per_sec_avg, peak_clients_avg,
sub_metrics, metrics, dest_dir, True)
return markup
def scenario_peak_core_actions_per_sec_avg(scenario_name, metrics,
scenario_config):
actions_per_sec = scenario_peak_core_actions_per_sec(
scenario_name, metrics, scenario_config)
return report.arr_avg(actions_per_sec, "actions_per_sec")
def scenario_peak_core_actions_per_sec_avg(scenario_name, metrics, scenario_config):
actions_per_sec = scenario_peak_core_actions_per_sec(scenario_name, metrics, scenario_config)
return report.arr_avg(actions_per_sec, "actions_per_sec")
