def cmd_gen(args):
if args.version:
yield 'version'
elif args.execute:
yield args.execute
else:
res = parse_addr(args.addr, default_port=8077)
hosts = ['{}:{}'.format(res['host'], res['port'])]
config = {
'hosts': hosts,
}
loud = Loud(**config)
if not loud.ping():
logging.error("%s: connect: connection refused", args.addr)
logging.error(
"Please check your connection settings and ensure 'loudmld' is running."
) # noqa
sys.exit(2)
print('Connected to {} version {}'.format(args.addr, loud.version()))
print('Loud ML shell {}'.format(
pkg_resources.require("loudml-python")[0].version))
while True:
r = input('> ').strip()
if len(r):
yield r
async def exec(self, args):
loud = Loud(**self.config)
print(loud.version())
def main():
"""
Generate and write random data to a TSDB bucket
"""
parser = argparse.ArgumentParser(description=main.__doc__, )
parser.add_argument(
'bucket_name',
help="Output bucket to write to.",
type=str,
)
parser.add_argument(
'-A',
'--addr',
help="Loud ML model server host and port to connect to.",
type=str,
default="localhost:8077",
)
parser.add_argument(
'-v',
'--verbose',
action='store_true',
help="Verbose: dump data written to the TSDB",
)
parser.add_argument(
'--field',
help="Use field name (default=value) in generated data.",
type=str,
default="value",
)
parser.add_argument(
'-f',
'--from',
help="From date",
type=str,
default="now-7d",
dest='from_date',
)
parser.add_argument(
'-t',
'--to',
help="To date",
type=str,
default="now",
dest='to_date',
)
parser.add_argument(
'--shape',
help="Configure the data shape of count(field) aggregation.",
choices=[
'flat',
'saw',
'sin',
'triangle',
'camel',
'loudml',
],
default='sin',
)
parser.add_argument(
'--amplitude',
help="Peak amplitude for periodic shapes",
type=float,
default=1,
)
parser.add_argument(
'--base',
help="Base value for number of events",
type=float,
default=1,
)
parser.add_argument(
'--trend',
help="Trend (event increase per hour)",
type=float,
default=0,
)
parser.add_argument(
'--period',
help="Pattern period in seconds.",
type=float,
default=24 * 3600,
)
parser.add_argument(
'--sigma',
help="Noise sigma added to generated data.",
type=float,
default=2,
)
parser.add_argument(
'--step-ms',
help="Milliseconds elapsed in each step for generating samples",
type=int,
default=60000,
)
parser.add_argument(
'-e',
'--errors',
help="Output anomalies with the given error rate",
type=float,
default=0.0,
)
parser.add_argument(
'-b',
'--burst-ms',
help="Burst duration, for anomalies",
type=int,
default=0,
)
parser.add_argument(
'--clear',
help="Clear bucket before inserting new data "
"(risk of data loss! Use with caution!)",
action='store_true',
)
parser.add_argument(
'--tags',
help="List of comma separated key:value tag pairs.",
type=str,
)
args = parser.parse_args()
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
loud = Loud(hosts=[args.addr], )
if args.shape == 'flat':
ts_generator = FlatEventGenerator(base=args.base, trend=args.trend)
elif args.shape == 'loudml':
ts_generator = LoudMLEventGenerator(base=args.base, trend=args.trend)
elif args.shape == 'camel':
ts_generator = CamelEventGenerator(
base=args.base,
amplitude=args.amplitude,
period=args.period,
trend=args.trend,
sigma=args.sigma,
)
elif args.shape == 'saw':
ts_generator = SawEventGenerator(
base=args.base,
amplitude=args.amplitude,
period=args.period,
trend=args.trend,
sigma=args.sigma,
)
elif args.shape == 'triangle':
ts_generator = TriangleEventGenerator(
base=args.base,
amplitude=args.amplitude,
period=args.period,
trend=args.trend,
sigma=args.sigma,
)
else:
ts_generator = SinEventGenerator(
base=args.base,
amplitude=args.amplitude,
trend=args.trend,
period=args.period,
sigma=args.sigma,
)
from_date = make_datetime(args.from_date)
to_date = make_datetime(args.to_date)
logging.info("generating data from %s to %s", from_date, to_date)
generator = generate_data(
ts_generator,
from_date.timestamp(),
to_date.timestamp(),
args.step_ms,
args.errors,
args.burst_ms,
args.field,
)
try:
if args.verbose:
print('Connected to {} version {}'.format(args.addr,
loud.version()))
if args.clear:
loud.buckets.clear(args.bucket_name)
dump_to_bucket(
loud,
generator,
args.bucket_name,
tags=build_tag_dict(args.tags),
verbose=args.verbose,
)
return 0
except requests.exceptions.ConnectionError:
logging.error("%s: connect: connection refused", args.addr)
logging.error(
"Please check your connection settings and ensure 'loudmld' is running."
) # noqa
sys.exit(2)
except requests.exceptions.HTTPError as exn:
logging.error(str(exn))
except requests.exceptions.Timeout:
logging.error("Request timed out")
except requests.exceptions.TooManyRedirects:
logging.error("Too many redirects")
except requests.exceptions.RequestException as exn:
logging.error(str(exn))
except LoudMLException as exn:
logging.error(exn)
except KeyboardInterrupt:
logging.error("operation aborted")
return 1
