def get_team_qos(cls, team_id, label, start, end):
cls.check_valid_period(start, end)
client = Warp10Client()
# Default values
params = {"team": team_id}
script = QOS_PER_TEAM
if label:
script = QOS_FILTERED_BY_LABEL
params.update({"name": label})
client.generate_script(start=start, end=end, script=script, extra_params=params)
resp = client.execute()
# Return list of datapoints
if label:
try:
return _transform_warp10_values(resp[0][0]["v"])
except IndexError:
return {}
# Order by Label
data = {}
for metrics in resp[0]:
label = metrics["l"]["name"]
if label not in data:
data[label] = {}
data[label] = _transform_warp10_values(metrics["v"])
return data
def execute(self, parameters, name, start, end):
client = Warp10Client(url=self.configuration["url"],
rotoken=self.configuration["token"])
# Generate the WarpScript and
# change the placeholders.
client.generate_script(start=start.timestamp,
end=end.timestamp,
script=parameters["script"])
try:
response = client.execute()
except Warp10Exception as e:
try:
message = html.unescape(
re.search("<pre>(.*)<\/pre>", str(e)).groups()[0].strip())
except Exception:
message = str(e)
raise BadConfigurationException(
"Warp10 Internal Error : {0}".format(message))
# Transform the Warp10 values
timeseries = []
for ts in response[0]:
timeseries.append({
"dps": _transform_warp10_values(ts["v"]),
"metric": ts["c"],
"tags": ts["l"],
})
if not timeseries:
msg = "No data for {} (from {} to {})".format(name, start, end)
logger.warning(msg)
raise UnknownStateException(msg)
# Parse the threshold
try:
top_threshold = float(parameters["top_threshold"])
bottom_threshold = float(parameters["bottom_threshold"])
except ValueError:
msg = "Thresholds are not valid (must be floats): {} and {}".format(
parameters["top_threshold"], parameters["bottom_threshold"])
raise BadConfigurationException(msg)
# Compute the QoS
try:
result = compute_interval(
timeseries,
start.timestamp,
end.timestamp,
bottom_threshold,
top_threshold,
)
except DataFetchException as e:
raise UnknownStateException(e)
result.update({"timeseries": timeseries})
return result
def get_team_item_qos(cls, team, label, name, start, end):
cls.check_valid_period(start, end)
client = Warp10Client()
client.generate_script(
start=start,
end=end,
script=QOS_ITEM_PER_TEAM_LABEL,
extra_params={"team": team, "label": label, "name": name},
)
resp = client.execute()
# No result
if not resp[0]:
return {}
values = _transform_warp10_values(resp[0][0]["v"])
return values