def setUp(self):
"""
Insert series.
"""
series = Series(ENTITY, METRIC)
series.add_samples(Sample(VALUE, datetime.now()))
self._series_service = SeriesService(self.connection)
self._series_service.insert(series)
time.sleep(self.wait_time)
def main(filename,
atsd_url,
username,
password,
stat_as_tag,
entity_name=None,
timestamp=None):
if timestamp is None:
timestamp = datetime.now()
conn = connect_url(atsd_url, username, password)
series_service = SeriesService(conn)
with open(filename) as f:
entries = json.load(f)
for entry in entries:
benchmark_name_split = entry['benchmark'].split('.')
entity = benchmark_name_split[
-2] if entity_name is None else entity_name
metric_prefix = 'jmh.' + entry['mode'] + '.' + entry[
'primaryMetric']['scoreUnit']
tags = {'method': benchmark_name_split[-1]}
if not stat_as_tag:
metric = metric_prefix + '.avg'
else:
metric = metric_prefix
tags['stat'] = 'avg'
series_service.insert(
Series(entity, metric,
[Sample(entry['primaryMetric']['score'], timestamp)],
tags))
for key, value in entry['primaryMetric']['scorePercentiles'].items(
):
if key == '0.0':
stat = 'min'
elif key == '100.0':
stat = 'max'
else:
stat = key
if not stat_as_tag:
metric = metric_prefix + '.' + stat
else:
metric = metric_prefix
tags['stat'] = stat
series_service.insert(
Series(entity, metric, [Sample(value, timestamp)], tags))
from atsd_client.models import SeriesDeleteQuery
'''
Delete series for all metrics for the specified entity with names starting with the specified prefix.
'''
# Connect to ATSD server
# connection = connect('/path/to/connection.properties')
connection = connect_url('https://atsd_hostname:8443', 'username', 'password')
# Set query
entity = "entity"
metric_expr = "name LIKE 'me*'"
# Initialize services
entities_service = EntitiesService(connection)
series_service = SeriesService(connection)
# Query all metrics for entity
metrics = entities_service.metrics(entity=entity, expression=metric_expr)
if not metrics:
print("No metrics are found for entity " + entity)
else:
# Delete series for each metric
for metric in metrics:
query = SeriesDeleteQuery(entity=entity,
metric=metric.name,
exact_match=False)
print("deleting ", entity, metric.name)
# Uncomment next line to delete series
# response = series_service.delete(query)
'''
Load all series values that are non-positive for the specified metric.
Optionally, if deleteValues parameter is set replace these values with NaN.
'''
# Connect to ATSD server
#connection = connect('/path/to/connection.properties')
connection = connect_url('https://atsd_hostname:8443', 'username', 'password')
# disable deleting inappropriate values
deleteValues = False
# specify metric name
metric_name = "ca.daily.reservoir_storage_af"
svc = SeriesService(connection)
metrics_service = MetricsService(connection)
# query series with current metric and all entities
sf = SeriesFilter(metric=metric_name)
ef = EntityFilter(entity='*')
df = DateFilter(start_date="1970-01-01T00:00:00Z", end_date=datetime.now())
query = SeriesQuery(series_filter=sf, entity_filter=ef, date_filter=df)
series = svc.query(query)
if deleteValues:
print('Inappropriate values to be deleted.\n')
else:
print('Leave as is inappropriate values.\n')
print('metric,entity,tags,data')
from atsd_client import connect_url
from atsd_client.services import EntitiesService, SeriesService
from atsd_client.models import SeriesDeleteQuery
'''
Delete series for all metrics for the specified entity with names starting with the specified prefix.
'''
# Connect to an ATSD server
conn = connect_url('https://atsd_hostname:8443', 'user', 'password')
# Set query
entity = "entity"
metric_expr = "name LIKE 'me*'"
entities_service = EntitiesService(conn)
series_service = SeriesService(conn)
# Query all metrics for entity
metrics = entities_service.metrics(entity=entity, expression=metric_expr)
if not metrics:
print("No metrics are found for entity " + entity)
else:
# Delete series for each metric
for metric in metrics:
query = SeriesDeleteQuery(entity=entity, metric=metric.name, exact_match=False)
# Uncomment next line to delete series
#response = series_service.delete(query)
#print(response)