def __target_chart(scenario_name, program_runs):
chart = report.pygal_bar()
entries = {}
# get targets
for target_name, target_arr in target.get_targets().iteritems():
target_title = "Target " + target_name
entries[target_title.upper(
)] = target_arr[scenario_name]['actions-per-sec']
program_scenarios_processed = {}
# for each config in each program try to find a matching scenario
for program_run_name, program_run in program_runs.iteritems():
program_scenarios_processed[program_run_name] = {}
for config_name, config_run in program_run['config_runs'].iteritems():
if scenario_name in program_scenarios_processed[
program_run_name]: # already checked for this program
break
if scenario_name in config_run['config_params']['scenarios']:
config_params = config_run['config_params']
scenario_params = config_params['scenarios'][scenario_name]
# if we have an empty entry here from previous iterations, then remove it, since we have found a valid one
if program_run_name in entries:
entries.pop(program_run_name, None)
program_run_title = "%s (%d vu's)" % (
program_run_name,
int(config_params['users'] *
(scenario_params["percent-of-users"] / 100.0)))
entries[
program_run_title] = config_report.scenario_peak_core_actions_per_sec_avg(
scenario_name, config_run['enriched_metrics'],
scenario_params)
program_scenarios_processed[program_run_name][
scenario_name] = True
else:
entries[program_run_name] = None
chart.title = scenario_name + ': action/s - program comparison'
sorted_keys = sorted(entries)
sorted_vals = map(lambda key: entries[key], sorted_keys)
# format x_labels
shared_prefix = __shared_prefix(sorted_keys)
chart.x_labels = map(
lambda key: key.replace(shared_prefix, "", 1)
if shared_prefix else key, map(__format_set_title, sorted_keys))
chart.add('Actions/s', sorted_vals)
chart.render_to_file(
__report_path(program_runs.keys()) + "/" +
__scenario_chart_name(scenario_name) + ".svg")
def __target_chart(scenario_name, program_runs):
chart = report.pygal_bar()
entries = {}
# get targets
for target_name, target_arr in target.get_targets().iteritems():
target_title = "Target " + target_name
entries[target_title.upper()] = target_arr[scenario_name]['actions-per-sec']
program_scenarios_processed = {}
# for each config in each program try to find a matching scenario
for program_run_name, program_run in program_runs.iteritems():
program_scenarios_processed[program_run_name] = {}
for config_name, config_run in program_run['config_runs'].iteritems():
if scenario_name in program_scenarios_processed[program_run_name]: # already checked for this program
break
if scenario_name in config_run['config_params']['scenarios']:
config_params = config_run['config_params']
scenario_params = config_params['scenarios'][scenario_name]
# if we have an empty entry here from previous iterations, then remove it, since we have found a valid one
if program_run_name in entries:
entries.pop(program_run_name, None)
program_run_title = "%s (%d vu's)" % (program_run_name, int(config_params['users'] * (scenario_params["percent-of-users"] / 100.0)))
entries[program_run_title] = config_report.scenario_peak_core_actions_per_sec_avg(scenario_name, config_run['enriched_metrics'], scenario_params)
program_scenarios_processed[program_run_name][scenario_name] = True
else:
entries[program_run_name] = None
chart.title = scenario_name + ': action/s - program comparison'
sorted_keys = sorted(entries)
sorted_vals = map(lambda key: entries[key], sorted_keys)
# format x_labels
shared_prefix = __shared_prefix(sorted_keys)
chart.x_labels = map(lambda key: key.replace(shared_prefix, "", 1) if shared_prefix else key, map(__format_set_title, sorted_keys))
chart.add('Actions/s', sorted_vals)
chart.render_to_file(__report_path(program_runs.keys()) + "/" + __scenario_chart_name(scenario_name) + ".svg")
def __combined_target_chart(target_chart_scenarios, program_runs):
bar_args = {}
if len(program_runs) > 5:
bar_args["truncate_legend"] = 30
chart = report.pygal_bar(**bar_args)
# chart.x_labels = map(str, range(2002, 2013))
# chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
# chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
sets = {}
# collect target sets
for target_name, target_arr in target.get_targets().iteritems():
target_title = "Target " + target_name
sets[target_title] = {}
for scenario_name in target_chart_scenarios:
sets[target_title][scenario_name] = target_arr[scenario_name]['actions-per-sec']
for program_run_name, program_run in program_runs.iteritems():
sets[program_run_name] = {}
# collect scenario run for each program sets
for config_name, config_run in program_run['config_runs'].iteritems():
config_params = config_run['config_params']
for scenario_name in config_run['config_params']['scenarios']:
scenario_params = config_params['scenarios'][scenario_name]
sets[program_run_name][scenario_name] = config_report.scenario_peak_core_actions_per_sec_avg(scenario_name, config_run['enriched_metrics'], scenario_params)
chart.title = 'All scenarios: action/s - program comparison'
# make entries
data_sets = {}
x_labels = []
for set_name, set in sets.iteritems():
data_sets[set_name] = {"data":[]}
shared_prefix = __shared_prefix(sets.keys())
for set_name in data_sets:
if shared_prefix:
shortened_set_name = set_name.replace(shared_prefix, "", 1)
else:
shortened_set_name = set_name
set_title = shortened_set_name
data_sets[set_name]["title"] = {"title": set_title, "data":[]}
x_labels = []
for scenario_name in target_chart_scenarios:
x_labels.append(scenario_name)
x_labels = sorted(x_labels)
# arrange data arrays according to sorted scenario_names
for scenario_name in x_labels:
for set_name, _set in sets.iteritems():
if (scenario_name in sets[program_run_name]) and (scenario_name in _set):
data_sets[set_name]["data"].append(_set[scenario_name])
else:
data_sets[set_name]["data"].append(None)
chart.x_labels = map(__format_set_title, x_labels)
# att chart sets for each target and program_run
sorted_set_names = sorted(data_sets)
for set_name in sorted_set_names:
chart.add(data_sets[set_name]["title"], data_sets[set_name]["data"])
chart.render_to_file(__report_path(program_runs.keys()) + "/all_runs_and_targets.svg")
def __combined_target_chart(target_chart_scenarios, program_runs):
bar_args = {}
if len(program_runs) > 5:
bar_args["truncate_legend"] = 30
chart = report.pygal_bar(**bar_args)
# chart.x_labels = map(str, range(2002, 2013))
# chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
# chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
sets = {}
# collect target sets
for target_name, target_arr in target.get_targets().iteritems():
target_title = "Target " + target_name
sets[target_title] = {}
for scenario_name in target_chart_scenarios:
sets[target_title][scenario_name] = target_arr[scenario_name][
'actions-per-sec']
for program_run_name, program_run in program_runs.iteritems():
sets[program_run_name] = {}
# collect scenario run for each program sets
for config_name, config_run in program_run['config_runs'].iteritems():
config_params = config_run['config_params']
for scenario_name in config_run['config_params']['scenarios']:
scenario_params = config_params['scenarios'][scenario_name]
sets[program_run_name][
scenario_name] = config_report.scenario_peak_core_actions_per_sec_avg(
scenario_name, config_run['enriched_metrics'],
scenario_params)
chart.title = 'All scenarios: action/s - program comparison'
# make entries
data_sets = {}
x_labels = []
for set_name, set in sets.iteritems():
data_sets[set_name] = {"data": []}
shared_prefix = __shared_prefix(sets.keys())
for set_name in data_sets:
if shared_prefix:
shortened_set_name = set_name.replace(shared_prefix, "", 1)
else:
shortened_set_name = set_name
set_title = shortened_set_name
data_sets[set_name]["title"] = {"title": set_title, "data": []}
x_labels = []
for scenario_name in target_chart_scenarios:
x_labels.append(scenario_name)
x_labels = sorted(x_labels)
# arrange data arrays according to sorted scenario_names
for scenario_name in x_labels:
for set_name, _set in sets.iteritems():
if (scenario_name in sets[program_run_name]) and (scenario_name
in _set):
data_sets[set_name]["data"].append(_set[scenario_name])
else:
data_sets[set_name]["data"].append(None)
chart.x_labels = map(__format_set_title, x_labels)
# att chart sets for each target and program_run
sorted_set_names = sorted(data_sets)
for set_name in sorted_set_names:
chart.add(data_sets[set_name]["title"], data_sets[set_name]["data"])
chart.render_to_file(
__report_path(program_runs.keys()) + "/all_runs_and_targets.svg")
