def test_task_get_detailed_last(self):
task1 = self._create_task()
key = {'name': 'atata'}
data = {'a': 'b', 'c': 'd'}
db.task_result_create(task1['uuid'], key, data)
task1_full = db.task_get_detailed_last()
results = task1_full["results"]
self.assertEqual(len(results), 1)
self.assertEqual(results[0]["key"], key)
self.assertEqual(results[0]["data"], data)
def test_task_get_detailed_last(self):
task1 = self._create_task()
key = {"name": "atata"}
data = {"a": "b", "c": "d"}
db.task_result_create(task1["uuid"], key, data)
task1_full = db.task_get_detailed_last()
results = task1_full["results"]
self.assertEqual(len(results), 1)
self.assertEqual(results[0]["key"], key)
self.assertEqual(results[0]["data"], data)
def test_task_get_detailed_last(self):
task1 = self._create_task()
key = {'name': 'atata'}
data = {'a': 'b', 'c': 'd'}
db.task_result_create(task1['uuid'], key, data)
task1_full = db.task_get_detailed_last()
results = task1_full["results"]
self.assertEqual(len(results), 1)
self.assertEqual(results[0]["key"], key)
self.assertEqual(results[0]["data"], data)
def test_task_get_detailed_last(self):
task1 = self._create_task()
key = {"name": "atata"}
data = {"a": "b", "c": "d"}
db.task_result_create(task1["uuid"], key, data)
task1_full = db.task_get_detailed_last()
results = task1_full["results"]
self.assertEqual(len(results), 1)
self.assertEqual(results[0]["key"], key)
self.assertEqual(results[0]["data"], data)
def detailed(self, task_id):
"""Get detailed information about task
:param task_id: Task uuid
Prints detailed infomration of task.
"""
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
print()
print("=" * 80)
print(_("Task %(task_id)s is %(status)s.")
% {'task_id': task_id, 'status': task['status']})
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
raw = result["data"]["raw"]
times = map(lambda x: x['time'],
filter(lambda r: not r['error'], raw))
table = prettytable.PrettyTable(["max", "avg", "min", "ratio"])
if times:
table.add_row([max(times), sum(times) / len(times), min(times),
float(len(times)) / len(raw)])
else:
table.add_row(['n/a', 'n/a', 'n/a', 0])
print(table)
def detailed(self, task_id=None, no_aggregation=False):
"""Get detailed information about task
:param task_id: Task uuid
:param no_aggregation: do not aggregate atomic operations
Prints detailed information of task.
"""
def _print_atomic_actions_no_aggregation(raw):
headers = ['iteration', "full duration"]
for i in range(0, len(raw)):
if raw[i]['atomic_actions']:
for (c, a) in enumerate(raw[i]['atomic_actions'], 1):
action = str(c) + "-" + a['action']
headers.append(action)
break
atomic_action_table = prettytable.PrettyTable(headers)
for (c, r) in enumerate(raw, 1):
dlist = [c]
d = []
if r['atomic_actions']:
for l in r['atomic_actions']:
d.append(l['duration'])
dlist.append(sum(d))
dlist = dlist + d
atomic_action_table.add_row(dlist)
else:
atomic_action_table.add_row(dlist +
["N/A" for i in
range(1, len(headers))])
print(atomic_action_table)
print()
def _print_atomic_actions_aggregation(raw):
aduration_merged = []
for r in raw:
if 'atomic_actions' in r:
for a in r['atomic_actions']:
aduration_merged.append(a)
durations_by_action = collections.defaultdict(list)
for at in aduration_merged:
durations_by_action[at['action']].append(at['duration'])
if durations_by_action:
atomic_action_table = prettytable.PrettyTable(
['action',
'count',
'max (sec)',
'avg (sec)',
'min (sec)',
'90 percentile',
'95 percentile'])
for k, v in durations_by_action.iteritems():
atomic_action_table.add_row([k,
len(v),
max(v),
sum(v) / len(v),
min(v),
percentile(v, 0.90),
percentile(v, 0.95)])
print(atomic_action_table)
print()
def _print_atomic_actions(raw):
if no_aggregation:
_print_atomic_actions_no_aggregation(raw)
else:
_print_atomic_actions_aggregation(raw)
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
if task is None:
print("The task %s can not be found" % task_id)
return
print()
print("=" * 80)
print(_("Task %(task_id)s is %(status)s.")
% {"task_id": task_id, "status": task["status"]})
if task["failed"]:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not cfg.CONF.debug:
print(verification[0])
print(verification[1])
print()
print(_("For more details run:\nrally -vd task detailed %s")
% task["uuid"])
else:
print(yaml.safe_load(verification[2]))
return
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
_print_atomic_actions(result["data"]["raw"])
raw = result["data"]["raw"]
durations = map(lambda x: x['duration'],
filter(lambda r: not r['error'], raw))
table = prettytable.PrettyTable(["max (sec)",
"avg (sec)",
"min (sec)",
"90 pecentile",
"95 percentile",
"success/total",
"total times"])
if durations:
table.add_row([max(durations),
sum(durations) / len(durations),
min(durations),
percentile(durations, 0.90),
percentile(durations, 0.95),
float(len(durations)) / len(raw),
len(raw)])
else:
table.add_row(['n/a', 'n/a', 'n/a', 'n/a', 'n/a', 0, len(raw)])
print(table)
# NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
try:
ssrs.append(result['scenario_output']['data'])
except (KeyError, TypeError):
# No SSRs in this result
pass
if ssrs:
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
ssr_table = prettytable.PrettyTable(["Key",
"max",
"avg",
"min",
"90 pecentile",
"95 pecentile"])
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [str(key),
max(values),
sum(values) / len(values),
min(values),
percentile(values, 0.90),
percentile(values, 0.95)]
else:
row = [str(key)] + ['n/a'] * 5
ssr_table.add_row(row)
print("\nScenario Specific Results\n")
print(ssr_table)
for result in raw:
if result['scenario_output']['errors']:
print(result['scenario_output']['errors'])
print()
print("HINTS:")
print(_("* To plot HTML graphics with this data, run:"))
print("\trally task plot2html %s --out output.html" % task["uuid"])
print()
print(_("* To get raw JSON output of task results, run:"))
print("\trally task results %s\n" % task["uuid"])
def detailed(self, task_id=None, iterations_data=False):
"""Get detailed information about task
:param task_id: Task uuid
:param iterations_data: print detailed results for each iteration
Prints detailed information of task.
"""
def _print_iterations_data(raw):
headers = ['iteration', "full duration"]
float_cols = ['full duration']
for i in range(0, len(raw)):
if raw[i]['atomic_actions']:
for (c, a) in enumerate(raw[i]['atomic_actions'], 1):
action = str(c) + "-" + a['action']
headers.append(action)
float_cols.append(action)
break
table_rows = []
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
for (c, r) in enumerate(raw, 1):
dlist = [c]
d = []
if r['atomic_actions']:
for l in r['atomic_actions']:
d.append(l['duration'])
dlist.append(sum(d))
dlist = dlist + d
table_rows.append(rutils.Struct(**dict(zip(headers,
dlist))))
else:
data = dlist + ["N/A" for i in range(1, len(headers))]
table_rows.append(rutils.Struct(**dict(zip(headers,
data))))
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
print()
def _get_atomic_action_durations(raw):
atomic_actions_names = []
for r in raw:
if 'atomic_actions' in r:
for a in r['atomic_actions']:
atomic_actions_names.append(a["action"])
break
result = {}
for atomic_action in atomic_actions_names:
result[atomic_action] = utils.get_durations(
raw,
lambda r: next(a["duration"] for a in r["atomic_actions"]
if a["action"] == atomic_action),
lambda r: any((a["action"] == atomic_action)
for a in r["atomic_actions"]))
return result
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
if task is None:
print("The task %s can not be found" % task_id)
return(1)
print()
print("=" * 80)
print(_("Task %(task_id)s is %(status)s.")
% {"task_id": task_id, "status": task["status"]})
if task["failed"]:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not cfg.CONF.debug:
print(verification[0])
print(verification[1])
print()
print(_("For more details run:\nrally -vd task detailed %s")
% task["uuid"])
else:
print(yaml.safe_load(verification[2]))
return
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
raw = result["data"]["raw"]
table_cols = ["action", "min (sec)", "avg (sec)", "max (sec)",
"90 percentile", "95 percentile", "success",
"count"]
float_cols = ["min (sec)", "avg (sec)", "max (sec)",
"90 percentile", "95 percentile"]
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
table_rows = []
action_durations = _get_atomic_action_durations(raw)
actions_list = action_durations.keys()
action_durations["total"] = utils.get_durations(
raw, lambda x: x["duration"], lambda r: not r["error"])
actions_list.append("total")
for action in actions_list:
durations = action_durations[action]
if durations:
data = [action,
min(durations),
utils.mean(durations),
max(durations),
utils.percentile(durations, 0.90),
utils.percentile(durations, 0.95),
"%.1f%%" % (len(durations) * 100.0 / len(raw)),
len(raw)]
else:
data = [action, None, None, None, None, None, 0, len(raw)]
table_rows.append(rutils.Struct(**dict(zip(table_cols, data))))
common_cliutils.print_list(table_rows, fields=table_cols,
formatters=formatters)
if iterations_data:
_print_iterations_data(raw)
# NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
data = result["scenario_output"].get("data")
if data:
ssrs.append(data)
if ssrs:
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
headers = ["key", "max", "avg", "min",
"90 pecentile", "95 pecentile"]
float_cols = ["max", "avg", "min",
"90 pecentile", "95 pecentile"]
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
table_rows = []
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [str(key),
max(values),
utils.mean(values),
min(values),
utils.percentile(values, 0.90),
utils.percentile(values, 0.95)]
else:
row = [str(key)] + ['n/a'] * 5
table_rows.append(rutils.Struct(**dict(zip(headers, row))))
print("\nScenario Specific Results\n")
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
for result in raw:
errors = result["scenario_output"].get("errors")
if errors:
print(errors)
print()
print("HINTS:")
print(_("* To plot HTML graphics with this data, run:"))
print("\trally task plot2html %s --out output.html" % task["uuid"])
print()
print(_("* To get raw JSON output of task results, run:"))
print("\trally task results %s\n" % task["uuid"])
def detailed(self, task_id=None, no_aggregation=False):
"""Get detailed information about task
:param task_id: Task uuid
:param no_aggregation: do not aggregate atomic operations
Prints detailed information of task.
"""
def _print_atomic_actions_no_aggregation(raw):
headers = ['iteration', "full duration"]
for i in range(0, len(raw)):
if raw[i]['atomic_actions']:
for (c, a) in enumerate(raw[i]['atomic_actions'], 1):
action = str(c) + "-" + a['action']
headers.append(action)
break
atomic_action_table = prettytable.PrettyTable(headers)
for (c, r) in enumerate(raw, 1):
dlist = [c]
d = []
if r['atomic_actions']:
for l in r['atomic_actions']:
d.append(l['duration'])
dlist.append(sum(d))
dlist = dlist + d
atomic_action_table.add_row(dlist)
else:
atomic_action_table.add_row(
dlist + ["N/A" for i in range(1, len(headers))])
print(atomic_action_table)
print()
def _print_atomic_actions_aggregation(raw):
aduration_merged = []
for r in raw:
if 'atomic_actions' in r:
for a in r['atomic_actions']:
aduration_merged.append(a)
durations_by_action = collections.defaultdict(list)
for at in aduration_merged:
durations_by_action[at['action']].append(at['duration'])
if durations_by_action:
atomic_action_table = prettytable.PrettyTable([
'action', 'count', 'max (sec)', 'avg (sec)', 'min (sec)',
'90 percentile', '95 percentile'
])
for k, v in durations_by_action.iteritems():
atomic_action_table.add_row([
k,
len(v),
max(v),
utils.mean(v),
min(v),
utils.percentile(v, 0.90),
utils.percentile(v, 0.95)
])
print(atomic_action_table)
print()
def _print_atomic_actions(raw):
if no_aggregation:
_print_atomic_actions_no_aggregation(raw)
else:
_print_atomic_actions_aggregation(raw)
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
if task is None:
print("The task %s can not be found" % task_id)
return
print()
print("=" * 80)
print(
_("Task %(task_id)s is %(status)s.") % {
"task_id": task_id,
"status": task["status"]
})
if task["failed"]:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not cfg.CONF.debug:
print(verification[0])
print(verification[1])
print()
print(
_("For more details run:\nrally -vd task detailed %s") %
task["uuid"])
else:
print(yaml.safe_load(verification[2]))
return
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
_print_atomic_actions(result["data"]["raw"])
raw = result["data"]["raw"]
durations = utils.get_durations(raw, lambda x: x['duration'],
lambda r: not r['error'])
table = prettytable.PrettyTable([
"max (sec)", "avg (sec)", "min (sec)", "90 pecentile",
"95 percentile", "success/total", "total times"
])
if durations:
table.add_row([
max(durations),
utils.mean(durations),
min(durations),
utils.percentile(durations, 0.90),
utils.percentile(durations, 0.95),
float(len(durations)) / len(raw),
len(raw)
])
else:
table.add_row(['n/a', 'n/a', 'n/a', 'n/a', 'n/a', 0, len(raw)])
print(table)
# NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
try:
ssrs.append(result['scenario_output']['data'])
except (KeyError, TypeError):
# No SSRs in this result
pass
if ssrs:
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
ssr_table = prettytable.PrettyTable([
"Key", "max", "avg", "min", "90 pecentile", "95 pecentile"
])
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [
str(key),
max(values),
utils.mean(values),
min(values),
utils.percentile(values, 0.90),
utils.percentile(values, 0.95)
]
else:
row = [str(key)] + ['n/a'] * 5
ssr_table.add_row(row)
print("\nScenario Specific Results\n")
print(ssr_table)
for result in raw:
if result['scenario_output']['errors']:
print(result['scenario_output']['errors'])
print()
print("HINTS:")
print(_("* To plot HTML graphics with this data, run:"))
print("\trally task plot2html %s --out output.html" % task["uuid"])
print()
print(_("* To get raw JSON output of task results, run:"))
print("\trally task results %s\n" % task["uuid"])
def detailed(self, task_id=None, iterations_data=False):
"""Get detailed information about task
:param task_id: Task uuid
:param iterations_data: print detailed results for each iteration
Prints detailed information of task.
"""
def _print_iterations_data(raw):
headers = ['iteration', "full duration"]
float_cols = ['full duration']
for i in range(0, len(raw)):
if raw[i]['atomic_actions']:
for (c, a) in enumerate(raw[i]['atomic_actions'], 1):
action = str(c) + "-" + a['action']
headers.append(action)
float_cols.append(action)
break
table_rows = []
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
for (c, r) in enumerate(raw, 1):
dlist = [c]
d = []
if r['atomic_actions']:
for l in r['atomic_actions']:
d.append(l['duration'])
dlist.append(sum(d))
dlist = dlist + d
table_rows.append(rutils.Struct(**dict(zip(headers,
dlist))))
else:
data = dlist + ["N/A" for i in range(1, len(headers))]
table_rows.append(rutils.Struct(**dict(zip(headers,
data))))
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
print()
def _get_atomic_action_durations(raw):
atomic_actions_names = []
for r in raw:
if 'atomic_actions' in r:
for a in r['atomic_actions']:
atomic_actions_names.append(a["action"])
break
result = {}
for atomic_action in atomic_actions_names:
result[atomic_action] = utils.get_durations(
raw,
lambda r: next(a["duration"] for a in r["atomic_actions"]
if a["action"] == atomic_action),
lambda r: any((a["action"] == atomic_action)
for a in r["atomic_actions"]))
return result
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
if task is None:
print("The task %s can not be found" % task_id)
return(1)
print()
print("=" * 80)
print(_("Task %(task_id)s is %(status)s.")
% {"task_id": task_id, "status": task["status"]})
if task["failed"]:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not cfg.CONF.debug:
print(verification[0])
print(verification[1])
print()
print(_("For more details run:\nrally -vd task detailed %s")
% task["uuid"])
else:
print(yaml.safe_load(verification[2]))
return
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
scenario_time = result["data"]["scenario_duration"]
raw = result["data"]["raw"]
table_cols = ["action", "min (sec)", "avg (sec)", "max (sec)",
"90 percentile", "95 percentile", "success",
"count"]
float_cols = ["min (sec)", "avg (sec)", "max (sec)",
"90 percentile", "95 percentile"]
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
table_rows = []
action_durations = _get_atomic_action_durations(raw)
actions_list = action_durations.keys()
action_durations["total"] = utils.get_durations(
raw, lambda x: x["duration"], lambda r: not r["error"])
actions_list.append("total")
for action in actions_list:
durations = action_durations[action]
if durations:
data = [action,
min(durations),
utils.mean(durations),
max(durations),
utils.percentile(durations, 0.90),
utils.percentile(durations, 0.95),
"%.1f%%" % (len(durations) * 100.0 / len(raw)),
len(raw)]
else:
data = [action, None, None, None, None, None, 0, len(raw)]
table_rows.append(rutils.Struct(**dict(zip(table_cols, data))))
common_cliutils.print_list(table_rows, fields=table_cols,
formatters=formatters)
if iterations_data:
_print_iterations_data(raw)
print(_("Whole scenario time without context preparation: "),
scenario_time)
# NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
data = result["scenario_output"].get("data")
if data:
ssrs.append(data)
if ssrs:
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
headers = ["key", "max", "avg", "min",
"90 pecentile", "95 pecentile"]
float_cols = ["max", "avg", "min",
"90 pecentile", "95 pecentile"]
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
table_rows = []
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [str(key),
max(values),
utils.mean(values),
min(values),
utils.percentile(values, 0.90),
utils.percentile(values, 0.95)]
else:
row = [str(key)] + ['n/a'] * 5
table_rows.append(rutils.Struct(**dict(zip(headers, row))))
print("\nScenario Specific Results\n")
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
for result in raw:
errors = result["scenario_output"].get("errors")
if errors:
print(errors)
print()
print("HINTS:")
print(_("* To plot HTML graphics with this data, run:"))
print("\trally task plot2html %s --out output.html" % task["uuid"])
print()
print(_("* To get raw JSON output of task results, run:"))
print("\trally task results %s\n" % task["uuid"])
def detailed(self, task_id=None, iterations_data=False):
"""Get detailed information about task
:param task_id: Task uuid
:param iterations_data: print detailed results for each iteration
Prints detailed information of task.
"""
def _print_iterations_data(raw_data):
headers = ["iteration", "full duration"]
float_cols = ["full duration"]
atomic_actions = []
for row in raw_data:
# find first non-error result to get atomic actions names
if not row["error"] and "atomic_actions" in row:
atomic_actions = row["atomic_actions"].keys()
for row in raw_data:
if row["atomic_actions"]:
for (c, a) in enumerate(atomic_actions, 1):
action = "%(no)i. %(action)s" % {"no": c, "action": a}
headers.append(action)
float_cols.append(action)
break
table_rows = []
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
for (c, r) in enumerate(raw_data, 1):
dlist = [c]
if r["atomic_actions"]:
dlist.append(r["duration"])
for action in atomic_actions:
dlist.append(r["atomic_actions"].get(action) or 0)
table_rows.append(rutils.Struct(**dict(zip(headers,
dlist))))
else:
data = dlist + [None for i in range(1, len(headers))]
table_rows.append(rutils.Struct(**dict(zip(headers,
data))))
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
print()
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
if task is None:
print("The task %s can not be found" % task_id)
return(1)
print()
print("=" * 80)
print(_("Task %(task_id)s is %(status)s.")
% {"task_id": task_id, "status": task["status"]})
if task["failed"]:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not cfg.CONF.debug:
print(verification[0])
print(verification[1])
print()
print(_("For more details run:\nrally -vd task detailed %s")
% task["uuid"])
else:
print(yaml.safe_load(verification[2]))
return
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
scenario_time = result["data"]["scenario_duration"]
raw = result["data"]["raw"]
table_cols = ["action", "min (sec)", "avg (sec)", "max (sec)",
"90 percentile", "95 percentile", "success",
"count"]
float_cols = ["min (sec)", "avg (sec)", "max (sec)",
"90 percentile", "95 percentile"]
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
table_rows = []
actions_data = utils.get_atomic_actions_data(raw)
for action in actions_data:
durations = actions_data[action]
if durations:
data = [action,
min(durations),
utils.mean(durations),
max(durations),
utils.percentile(durations, 0.90),
utils.percentile(durations, 0.95),
"%.1f%%" % (len(durations) * 100.0 / len(raw)),
len(raw)]
else:
data = [action, None, None, None, None, None,
"0.0%", len(raw)]
table_rows.append(rutils.Struct(**dict(zip(table_cols, data))))
common_cliutils.print_list(table_rows, fields=table_cols,
formatters=formatters)
if iterations_data:
_print_iterations_data(raw)
print(_("Whole scenario time without context preparation: "),
scenario_time)
# NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
data = result["scenario_output"].get("data")
if data:
ssrs.append(data)
if ssrs:
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
headers = ["key", "max", "avg", "min",
"90 pecentile", "95 pecentile"]
float_cols = ["max", "avg", "min",
"90 pecentile", "95 pecentile"]
formatters = dict(zip(float_cols,
[cliutils.pretty_float_formatter(col, 3)
for col in float_cols]))
table_rows = []
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [str(key),
max(values),
utils.mean(values),
min(values),
utils.percentile(values, 0.90),
utils.percentile(values, 0.95)]
else:
row = [str(key)] + ['n/a'] * 5
table_rows.append(rutils.Struct(**dict(zip(headers, row))))
print("\nScenario Specific Results\n")
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
for result in raw:
errors = result["scenario_output"].get("errors")
if errors:
print(errors)
print()
print("HINTS:")
print(_("* To plot HTML graphics with this data, run:"))
print("\trally task report %s --out output.html" % task["uuid"])
print()
print(_("* To get raw JSON output of task results, run:"))
print("\trally task results %s\n" % task["uuid"])
def detailed(self, task_id):
"""Get detailed information about task
:param task_id: Task uuid
Prints detailed infomration of task.
"""
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
print()
print("=" * 80)
print(_("Task %(task_id)s is %(status)s.")
% {'task_id': task_id, 'status': task['status']})
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
raw = result["data"]["raw"]
times = map(lambda x: x['time'],
filter(lambda r: not r['error'], raw))
table = prettytable.PrettyTable(["max", "avg", "min", "ratio"])
if times:
table.add_row([max(times), sum(times) / len(times), min(times),
float(len(times)) / len(raw)])
else:
table.add_row(['n/a', 'n/a', 'n/a', 0])
print(table)
#NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
try:
ssrs.append(result['scenario_output']['data'])
except (KeyError, TypeError):
# No SSRs in this result
pass
if ssrs:
sys.stdout.flush()
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
ssr_table = prettytable.PrettyTable(
["Key", "max", "avg", "min"])
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [str(key),
max(values),
sum(values) / len(values),
min(values)]
else:
row = [str(key)] + ['n/a'] * 3
ssr_table.add_row(row)
print("\nScenario Specific Results\n")
print(ssr_table)
for result in raw:
if result['scenario_output']['errors']:
print(result['scenario_output']['errors'])
def detailed(self, task_id):
"""Get detailed information about task
:param task_id: Task uuid
Prints detailed information of task.
"""
def _print_atomic_actions_time(raw):
atime_merged = []
for r in raw:
if 'atomic_actions_time' in r:
for a in r['atomic_actions_time']:
atime_merged.append(a)
times_by_action = collections.defaultdict(list)
for at in atime_merged:
times_by_action[at['action']].append(at['duration'])
if times_by_action:
atomic_action_table = prettytable.PrettyTable(
['action',
'count',
'max (sec)',
'avg (sec)',
'min (sec)',
'90 percentile',
'95 percentile'])
for k, v in times_by_action.iteritems():
atomic_action_table.add_row([k,
len(v),
max(v),
sum(v) / len(v),
min(v),
percentile(v, 0.90),
percentile(v, 0.95)])
print(atomic_action_table)
print()
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
if task is None:
print("The task %s can not be found" % task_id)
return
print()
print("=" * 80)
print(_("Task %(task_id)s is %(status)s. Failed: %(failed)s")
% {'task_id': task_id,
'status': task['status'],
'failed': task['failed']
})
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
if not result["data"]["validation"]["is_valid"]:
print("-" * 80)
print(result["data"]["validation"]["exc_msg"])
continue
_print_atomic_actions_time(result["data"]["raw"])
raw = result["data"]["raw"]
times = map(lambda x: x['time'],
filter(lambda r: not r['error'], raw))
table = prettytable.PrettyTable(["max (sec)",
"avg (sec)",
"min (sec)",
"90 pecentile",
"95 percentile",
"success/total",
"total times"])
if times:
table.add_row([max(times),
sum(times) / len(times),
min(times),
percentile(times, 0.90),
percentile(times, 0.95),
float(len(times)) / len(raw),
len(raw)])
else:
table.add_row(['n/a', 'n/a', 'n/a', 'n/a', 'n/a', 0, len(raw)])
print(table)
#NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
try:
ssrs.append(result['scenario_output']['data'])
except (KeyError, TypeError):
# No SSRs in this result
pass
if ssrs:
sys.stdout.flush()
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
ssr_table = prettytable.PrettyTable(["Key",
"max",
"avg",
"min",
"90 pecentile",
"95 pecentile"])
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [str(key),
max(values),
sum(values) / len(values),
min(values),
percentile(values, 0.90),
percentile(values, 0.95)]
else:
row = [str(key)] + ['n/a'] * 5
ssr_table.add_row(row)
print("\nScenario Specific Results\n")
print(ssr_table)
for result in raw:
if result['scenario_output']['errors']:
print(result['scenario_output']['errors'])
def detailed(self, task_id=None, iterations_data=False):
"""Display results table.
:param task_id: Task uuid
:param iterations_data: print detailed results for each iteration
Prints detailed information of task.
"""
def _print_iterations_data(raw_data):
headers = ["iteration", "full duration"]
float_cols = ["full duration"]
atomic_actions = []
for row in raw_data:
# find first non-error result to get atomic actions names
if not row["error"] and "atomic_actions" in row:
atomic_actions = row["atomic_actions"].keys()
for row in raw_data:
if row["atomic_actions"]:
for (c, a) in enumerate(atomic_actions, 1):
action = "%(no)i. %(action)s" % {"no": c, "action": a}
headers.append(action)
float_cols.append(action)
break
table_rows = []
formatters = dict(
zip(float_cols, [
cliutils.pretty_float_formatter(col, 3)
for col in float_cols
]))
for (c, r) in enumerate(raw_data, 1):
dlist = [c]
if r["atomic_actions"]:
dlist.append(r["duration"])
for action in atomic_actions:
dlist.append(r["atomic_actions"].get(action) or 0)
table_rows.append(
rutils.Struct(**dict(zip(headers, dlist))))
else:
data = dlist + [None for i in range(1, len(headers))]
table_rows.append(
rutils.Struct(**dict(zip(headers, data))))
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
print()
if task_id == "last":
task = db.task_get_detailed_last()
task_id = task.uuid
else:
task = db.task_get_detailed(task_id)
if task is None:
print("The task %s can not be found" % task_id)
return (1)
print()
print("=" * 80)
print(
_("Task %(task_id)s is %(status)s.") % {
"task_id": task_id,
"status": task["status"]
})
if task["failed"]:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not cfg.CONF.debug:
print(verification[0])
print(verification[1])
print()
print(
_("For more details run:\nrally -vd task detailed %s") %
task["uuid"])
else:
print(yaml.safe_load(verification[2]))
return
for result in task["results"]:
key = result["key"]
print("-" * 80)
print()
print("test scenario %s" % key["name"])
print("args position %s" % key["pos"])
print("args values:")
pprint.pprint(key["kw"])
scenario_time = result["data"]["scenario_duration"]
raw = result["data"]["raw"]
table_cols = [
"action", "min (sec)", "avg (sec)", "max (sec)",
"90 percentile", "95 percentile", "success", "count"
]
float_cols = [
"min (sec)", "avg (sec)", "max (sec)", "90 percentile",
"95 percentile"
]
formatters = dict(
zip(float_cols, [
cliutils.pretty_float_formatter(col, 3)
for col in float_cols
]))
table_rows = []
actions_data = utils.get_atomic_actions_data(raw)
for action in actions_data:
durations = actions_data[action]
if durations:
data = [
action,
min(durations),
utils.mean(durations),
max(durations),
utils.percentile(durations, 0.90),
utils.percentile(durations, 0.95),
"%.1f%%" % (len(durations) * 100.0 / len(raw)),
len(raw)
]
else:
data = [
action, None, None, None, None, None, "0.0%",
len(raw)
]
table_rows.append(rutils.Struct(**dict(zip(table_cols, data))))
common_cliutils.print_list(table_rows,
fields=table_cols,
formatters=formatters)
if iterations_data:
_print_iterations_data(raw)
print(_("Whole scenario time without context preparation: "),
scenario_time)
# NOTE(hughsaunders): ssrs=scenario specific results
ssrs = []
for result in raw:
data = result["scenario_output"].get("data")
if data:
ssrs.append(data)
if ssrs:
keys = set()
for ssr in ssrs:
keys.update(ssr.keys())
headers = [
"key", "max", "avg", "min", "90 pecentile", "95 pecentile"
]
float_cols = [
"max", "avg", "min", "90 pecentile", "95 pecentile"
]
formatters = dict(
zip(float_cols, [
cliutils.pretty_float_formatter(col, 3)
for col in float_cols
]))
table_rows = []
for key in keys:
values = [float(ssr[key]) for ssr in ssrs if key in ssr]
if values:
row = [
str(key),
max(values),
utils.mean(values),
min(values),
utils.percentile(values, 0.90),
utils.percentile(values, 0.95)
]
else:
row = [str(key)] + ['n/a'] * 5
table_rows.append(rutils.Struct(**dict(zip(headers, row))))
print("\nScenario Specific Results\n")
common_cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
for result in raw:
errors = result["scenario_output"].get("errors")
if errors:
print(errors)
print()
print("HINTS:")
print(_("* To plot HTML graphics with this data, run:"))
print("\trally task report %s --out output.html" % task["uuid"])
print()
print(_("* To get raw JSON output of task results, run:"))
print("\trally task results %s\n" % task["uuid"])