def _get_atomic_action_durations(result):
raw = result.get('result', [])
actions_data = utils.get_atomic_actions_data(raw)
table = []
total = []
for action in actions_data:
durations = actions_data[action]
if durations:
data = [action,
round(min(durations), 3),
round(utils.mean(durations), 3),
round(max(durations), 3),
round(utils.percentile(durations, 0.90), 3),
round(utils.percentile(durations, 0.95), 3),
"%.1f%%" % (len(durations) * 100.0 / len(raw)),
len(raw)]
else:
data = [action, None, None, None, None, None, 0, len(raw)]
# Save `total' - it must be appended last
if action == "total":
total = data
continue
table.append(data)
if total:
table.append(total)
return table
def _get_atomic_action_durations(result):
raw = result.get("result", [])
actions_data = utils.get_atomic_actions_data(raw)
table = []
total = []
for action in actions_data:
durations = actions_data[action]
if durations:
data = [action,
round(min(durations), 3),
round(utils.median(durations), 3),
round(utils.percentile(durations, 0.90), 3),
round(utils.percentile(durations, 0.95), 3),
round(max(durations), 3),
round(utils.mean(durations), 3),
"%.1f%%" % (len(durations) * 100.0 / len(raw)),
len(raw)]
else:
data = [action, None, None, None, None, None, None, 0, len(raw)]
# Save 'total' - it must be appended last
if action == "total":
total = data
continue
table.append(data)
if total:
table.append(total)
return table
def test_get_atomic_actions_data(self):
raw_data = [{
"error": [],
"duration": 3,
"atomic_actions": {
"action1": 1,
"action2": 2
}
}, {
"error": ["some", "error", "occurred"],
"duration": 1.9,
"atomic_actions": {
"action1": 0.5,
"action2": 1.4
}
}, {
"error": [],
"duration": 8,
"atomic_actions": {
"action1": 4,
"action2": 4
}
}]
atomic_actions_data = {
"action1": [1, 0.5, 4],
"action2": [2, 1.4, 4],
"total": [3, 8]
}
output = utils.get_atomic_actions_data(raw_data)
self.assertEqual(output, atomic_actions_data)
def _get_atomic_action_durations(result):
raw = result.get('result', [])
actions_data = utils.get_atomic_actions_data(raw)
table = []
for action in actions_data:
durations = actions_data[action]
if durations:
data = [action,
round(min(durations), 3),
round(utils.mean(durations), 3),
round(max(durations), 3),
round(utils.percentile(durations, 0.90), 3),
round(utils.percentile(durations, 0.95), 3),
"%.1f%%" % (len(durations) * 100.0 / len(raw)),
len(raw)]
else:
data = [action, None, None, None, None, None, 0, len(raw)]
table.append(data)
return table
def test_get_atomic_actions_data(self):
raw_data = [
{
"error": [],
"duration": 3,
"atomic_actions": {
"action1": 1,
"action2": 2
}
},
{
"error": ["some", "error", "occurred"],
"duration": 1.9,
"atomic_actions": {
"action1": 0.5,
"action2": 1.4
}
},
{
"error": [],
"duration": 8,
"atomic_actions": {
"action1": 4,
"action2": 4
}
}
]
atomic_actions_data = {
"action1": [1, 0.5, 4],
"action2": [2, 1.4, 4],
"total": [3, 8]
}
output = utils.get_atomic_actions_data(raw_data)
self.assertEqual(output, atomic_actions_data)
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]
dlist.append(r["duration"])
if r["atomic_actions"]:
for action in atomic_actions:
dlist.append(r["atomic_actions"].get(action) or 0)
cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
print()
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: %(status)s") % {
"task_id": task_id,
"status": task["status"]
})
if task["status"] == consts.TaskStatus.FAILED:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not logging.is_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:")
print(json.dumps(key["kw"], indent=2))
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))))
cliutils.print_list(table_rows,
fields=table_cols,
formatters=formatters)
if iterations_data:
_print_iterations_data(raw)
print(_("Load duration: %s") % result["data"]["load_duration"])
print(_("Full duration: %s") % result["data"]["full_duration"])
# 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")
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=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]
dlist.append(r["duration"])
if r["atomic_actions"]:
for action in atomic_actions:
dlist.append(r["atomic_actions"].get(action) or 0)
cliutils.print_list(table_rows,
fields=headers,
formatters=formatters)
print()
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: %(status)s")
% {"task_id": task_id, "status": task["status"]})
if task["status"] == consts.TaskStatus.FAILED:
print("-" * 80)
verification = yaml.safe_load(task["verification_log"])
if not logging.is_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:")
print(json.dumps(key["kw"], indent=2))
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))))
cliutils.print_list(table_rows, fields=table_cols,
formatters=formatters)
if iterations_data:
_print_iterations_data(raw)
print(_("Load duration: %s") % result["data"]["load_duration"])
print(_("Full duration: %s") % result["data"]["full_duration"])
# 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")
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"])