/usr/lib/python2.7/dist-packages/gnocchi/archive_policy.py is in python-gnocchi 3.0.4-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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#
# Copyright (c) 2014-2015 eNovance
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import collections
import datetime
import operator
from oslo_config import cfg
from oslo_config import types
import six
class ArchivePolicy(object):
DEFAULT_AGGREGATION_METHODS = ()
# TODO(eglynn): figure out how to accommodate multi-valued aggregation
# methods, where there is no longer just a single aggregate
# value to be stored per-period (e.g. ohlc)
VALID_AGGREGATION_METHODS = set(
('mean', 'sum', 'last', 'max', 'min',
'std', 'median', 'first', 'count')).union(
set((str(i) + 'pct' for i in six.moves.range(1, 100))))
# Set that contains all the above values + their minus equivalent (-mean)
# and the "*" entry.
VALID_AGGREGATION_METHODS_VALUES = VALID_AGGREGATION_METHODS.union(
set(('*',)),
set(map(lambda s: "-" + s,
VALID_AGGREGATION_METHODS)),
set(map(lambda s: "+" + s,
VALID_AGGREGATION_METHODS)))
def __init__(self, name, back_window, definition,
aggregation_methods=None):
self.name = name
self.back_window = back_window
self.definition = []
for d in definition:
if isinstance(d, ArchivePolicyItem):
self.definition.append(d)
elif isinstance(d, dict):
self.definition.append(ArchivePolicyItem(**d))
elif len(d) == 2:
self.definition.append(
ArchivePolicyItem(points=d[0], granularity=d[1]))
else:
raise ValueError(
"Unable to understand policy definition %s" % d)
duplicate_granularities = [
granularity
for granularity, count in collections.Counter(
d.granularity for d in self.definition).items()
if count > 1
]
if duplicate_granularities:
raise ValueError(
"More than one archive policy "
"uses granularity `%s'"
% duplicate_granularities[0]
)
if aggregation_methods is None:
self.aggregation_methods = self.DEFAULT_AGGREGATION_METHODS
else:
self.aggregation_methods = aggregation_methods
@property
def aggregation_methods(self):
if '*' in self._aggregation_methods:
agg_methods = self.VALID_AGGREGATION_METHODS.copy()
elif all(map(lambda s: s.startswith('-') or s.startswith('+'),
self._aggregation_methods)):
agg_methods = set(self.DEFAULT_AGGREGATION_METHODS)
else:
agg_methods = set(self._aggregation_methods)
for entry in self._aggregation_methods:
if entry:
if entry[0] == '-':
agg_methods -= set((entry[1:],))
elif entry[0] == '+':
agg_methods.add(entry[1:])
return agg_methods
@aggregation_methods.setter
def aggregation_methods(self, value):
value = set(value)
rest = value - self.VALID_AGGREGATION_METHODS_VALUES
if rest:
raise ValueError("Invalid value for aggregation_methods: %s" %
rest)
self._aggregation_methods = value
@classmethod
def from_dict(cls, d):
return cls(d['name'],
d['back_window'],
d['definition'],
d.get('aggregation_methods'))
def __eq__(self, other):
return (isinstance(other, ArchivePolicy)
and self.name == other.name
and self.back_window == other.back_window
and self.definition == other.definition
and self.aggregation_methods == other.aggregation_methods)
def jsonify(self):
return {
"name": self.name,
"back_window": self.back_window,
"definition": self.definition,
"aggregation_methods": self.aggregation_methods,
}
@property
def max_block_size(self):
# The biggest block size is the coarse grained archive definition
return sorted(self.definition,
key=operator.attrgetter("granularity"))[-1].granularity
OPTS = [
cfg.ListOpt(
'default_aggregation_methods',
item_type=types.String(
choices=ArchivePolicy.VALID_AGGREGATION_METHODS),
default=['mean', 'min', 'max', 'sum',
'std', 'median', 'count', '95pct'],
help='Default aggregation methods to use in created archive policies'),
]
class ArchivePolicyItem(dict):
def __init__(self, granularity=None, points=None, timespan=None):
if (granularity is not None
and points is not None
and timespan is not None):
if timespan != granularity * points:
raise ValueError(
u"timespan ≠ granularity × points")
if granularity is not None and granularity <= 0:
raise ValueError("Granularity should be > 0")
if points is not None and points <= 0:
raise ValueError("Number of points should be > 0")
if granularity is None:
if points is None or timespan is None:
raise ValueError(
"At least two of granularity/points/timespan "
"must be provided")
granularity = round(timespan / float(points))
else:
granularity = float(granularity)
if points is None:
if timespan is None:
self['timespan'] = None
else:
points = int(timespan / granularity)
self['timespan'] = granularity * points
else:
points = int(points)
self['timespan'] = granularity * points
self['points'] = points
self['granularity'] = granularity
@property
def granularity(self):
return self['granularity']
@property
def points(self):
return self['points']
@property
def timespan(self):
return self['timespan']
def jsonify(self):
"""Return a dict representation with human readable values."""
return {
'timespan': six.text_type(
datetime.timedelta(seconds=self.timespan))
if self.timespan is not None
else None,
'granularity': six.text_type(
datetime.timedelta(seconds=self.granularity)),
'points': self.points,
}
DEFAULT_ARCHIVE_POLICIES = {
'low': ArchivePolicy(
"low", 0, [
# 5 minutes resolution for an hour
ArchivePolicyItem(granularity=300, points=12),
# 1 hour resolution for a day
ArchivePolicyItem(granularity=3600, points=24),
# 1 day resolution for a month
ArchivePolicyItem(granularity=3600 * 24, points=30),
],
),
'medium': ArchivePolicy(
"medium", 0, [
# 1 minute resolution for an day
ArchivePolicyItem(granularity=60, points=60 * 24),
# 1 hour resolution for a week
ArchivePolicyItem(granularity=3600, points=7 * 24),
# 1 day resolution for a year
ArchivePolicyItem(granularity=3600 * 24, points=365),
],
),
'high': ArchivePolicy(
"high", 0, [
# 1 second resolution for an hour
ArchivePolicyItem(granularity=1, points=3600),
# 1 minute resolution for a week
ArchivePolicyItem(granularity=60, points=60 * 24 * 7),
# 1 hour resolution for a year
ArchivePolicyItem(granularity=3600, points=365 * 24),
],
),
}
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