def __init__(self, start_time=None, end_time=None, event_type=None,
message_id=None, traits_filter=[]):
self.start_time = utils.sanitize_timestamp(start_time)
self.end_time = utils.sanitize_timestamp(end_time)
self.message_id = message_id
self.event_type = event_type
self.traits_filter = traits_filter
def point_to_stat(point, tags, period, aggregate, unit='%'):
"""Convert the InfluxDB point to the Statistics object"""
kwargs = {}
if not point['last'] or not point['first']:
return
if not aggregate:
for func in DEFAULT_AGGREGATES:
kwargs[BACK_FUNC_TRANSITIONS.get(func, func)] = point.get(func)
else:
kwargs['aggregate'] = {}
for description in aggregate:
func = AGGREGATE_FUNC_TRANSITIONS.get(description.func,
description.func)
kwargs['aggregate'][description.func] = point.get(func)
if func in DEFAULT_AGGREGATES:
kwargs[description.func] = point.get(func)
tags = tags or {}
tags = dict((key.replace("metadata", "resource_metadata"), value)
for key, value in tags.items())
kwargs["groupby"] = tags
kwargs["duration_start"] = utils.sanitize_timestamp(point["first"])
kwargs["duration_end"] = utils.sanitize_timestamp(point["last"])
kwargs["duration"] = (kwargs["duration_end"] -
kwargs["duration_start"]).total_seconds()
kwargs["period"] = period or 0
kwargs["period_start"] = utils.sanitize_timestamp(point["time"])
kwargs["period_end"] = (utils.sanitize_timestamp(point["time"]) +
datetime.timedelta(seconds=period)
if period else kwargs['duration_end'])
kwargs["unit"] = unit
return models.Statistics(**kwargs)
def __init__(
self,
user=None,
project=None,
start_timestamp=None,
start_timestamp_op=None,
end_timestamp=None,
end_timestamp_op=None,
resource=None,
meter=None,
source=None,
message_id=None,
metaquery=None,
):
self.user = user
self.project = project
self.start_timestamp = utils.sanitize_timestamp(start_timestamp)
self.start_timestamp_op = start_timestamp_op
self.end_timestamp = utils.sanitize_timestamp(end_timestamp)
self.end_timestamp_op = end_timestamp_op
self.resource = resource
self.meter = meter
self.source = source
self.metaquery = metaquery or {}
self.message_id = message_id
def __init__(self, start_time=None, end_time=None, event_type=None,
message_id=None, traits_filter=[]):
self.start_time = utils.sanitize_timestamp(start_time)
self.end_time = utils.sanitize_timestamp(end_time)
self.message_id = message_id
self.event_type = event_type
self.traits_filter = traits_filter
def __init__(self, start_timestamp=None, end_timestamp=None,
event_type=None, message_id=None, traits_filter=None,
admin_proj=None):
self.start_timestamp = utils.sanitize_timestamp(start_timestamp)
self.end_timestamp = utils.sanitize_timestamp(end_timestamp)
self.message_id = message_id
self.event_type = event_type
self.traits_filter = traits_filter or []
self.admin_proj = admin_proj
def __init__(self, user=None, project=None, start=None, end=None,
resource=None, meter=None, source=None, metaquery={}):
self.user = user
self.project = project
self.start = utils.sanitize_timestamp(start)
self.end = utils.sanitize_timestamp(end)
self.resource = resource
self.meter = meter
self.source = source
self.metaquery = metaquery
def get_time_boundary(self, sample_filter):
"""Find timestamp of the first matching sample in the database."""
response = self._query(
influx_utils.make_time_bounds_query(sample_filter))
try:
first_point = response.get_points(influx_utils.MEASUREMENT).next()
except StopIteration:
raise base.NoResultFound()
start_timestamp = utils.sanitize_timestamp(first_point['first'])
end_timestamp = utils.sanitize_timestamp(first_point['last'])
return start_timestamp, end_timestamp
def search_results_to_resources(results):
"""Transforms results of the search to the Resource instances."""
for record in results['hits']['hits']:
yield models.Resource(
resource_id=record['_id'],
first_sample_timestamp=utils.sanitize_timestamp(
record['_source'].get('first_sample_timestamp')),
last_sample_timestamp=utils.sanitize_timestamp(
record['_source']['last_sample_timestamp']),
source=record['_source'].get('source'),
project_id=record['_source'].get('project_id'),
user_id=record['_source'].get('user_id'),
metadata=record['_source'].get('metadata', {}))
def sample_to_point(sample):
point = {
"measurement": 'sample',
"time": utils.sanitize_timestamp(sample["timestamp"]),
"fields": {
"value": float(sample.get("counter_volume")),
"message_id": sample.get("message_id"),
"timestamp": sample.get("timestamp").isoformat(),
"message_signature": sample.get("message_signature"),
"type": sample.get("counter_type"),
"unit": sample.get("counter_unit"),
"recorded_at": timeutils.utcnow(True).isoformat(),
},
"tags": {
"meter": sample.get("counter_name"),
"resource_id": sample.get("resource_id"),
"project_id": sample.get("project_id"),
"user_id": sample.get("user_id"),
"source": sample.get("source")
}
}
tags, fields = escape_metadata(sample.get("resource_metadata", {}))
point['tags'].update(tags)
point['fields'].update(fields)
return point
def __init__(self, user=None, project=None,
start_timestamp=None, start_timestamp_op=None,
end_timestamp=None, end_timestamp_op=None,
resource=None, meter=None,
source=None, message_id=None,
metaquery=None):
self.user = user
self.project = project
self.start_timestamp = utils.sanitize_timestamp(start_timestamp)
self.start_timestamp_op = start_timestamp_op
self.end_timestamp = utils.sanitize_timestamp(end_timestamp)
self.end_timestamp_op = end_timestamp_op
self.resource = resource
self.meter = meter
self.source = source
self.metaquery = metaquery or {}
self.message_id = message_id
def point_to_sample(point):
"""Transform the point to a Sample object."""
return models.Sample(
point.get("source"),
point["meter"],
point.get("type"),
point.get("unit", ""),
float(point["value"]),
point.get("user_id"),
point.get("project_id"),
point.get("resource_id"),
utils.sanitize_timestamp(point["timestamp"]),
transform_metadata(point),
point.get("message_id"),
point.get("message_signature"),
recorded_at=(utils.sanitize_timestamp(point['recorded_at'])
if "recorded_at" in point else None))
def count_samples(storage_conn, start_timestamp=None, end_timestamp=None):
if start_timestamp:
start_timestamp = utils.sanitize_timestamp(start_timestamp)
if start_timestamp:
end_timestamp = utils.sanitize_timestamp(end_timestamp)
if isinstance(storage_conn, impl_sqlalchemy.Connection):
from ceilometer.storage.sqlalchemy import models
session = storage_conn._engine_facade.get_session()
query = session.query(models.Sample.id)
if start_timestamp:
query = query.filter(models.Sample.timestamp >= start_timestamp)
if end_timestamp:
query = query.filter(models.Sample.timestamp < end_timestamp)
return query.count()
elif isinstance(storage_conn, impl_mongodb.Connection):
ts_range = pymongo_utils.make_timestamp_range(start_timestamp,
end_timestamp)
return storage_conn.db.meter.count(ts_range)
else:
print("Unsupported type of storage connection: %s" % storage_conn)
sys.exit(1)
def __init__(self, start, end, event_name=None, traits={}):
self.start = utils.sanitize_timestamp(start)
self.end = utils.sanitize_timestamp(end)
self.event_name = event_name
self.traits = traits
def __init__(self, start, end, event_name=None, traits={}):
self.start = utils.sanitize_timestamp(start)
self.end = utils.sanitize_timestamp(end)
self.event_name = event_name
self.traits = traits
