03ce87b300
Add configuration to control what traits get added to Events from notifications, how those traits are defined, and what notifications get converted (and eventually stored). Change-Id: I2befc97b3d3b33851a5bfe709bf086895fd72cce Implements: blueprint configurable-event-definitions
370 lines
13 KiB
Python
370 lines
13 KiB
Python
# -*- encoding: utf-8 -*-
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#
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# Copyright © 2013 New Dream Network, LLC (DreamHost)
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#
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# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""Model classes for use in the storage API.
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"""
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from ceilometer.openstack.common import timeutils
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class Model(object):
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"""Base class for storage API models.
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"""
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def __init__(self, **kwds):
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self.fields = list(kwds)
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for k, v in kwds.iteritems():
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setattr(self, k, v)
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def as_dict(self):
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d = {}
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for f in self.fields:
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v = getattr(self, f)
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if isinstance(v, Model):
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v = v.as_dict()
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elif isinstance(v, list) and v and isinstance(v[0], Model):
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v = [sub.as_dict() for sub in v]
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d[f] = v
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return d
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def __eq__(self, other):
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return self.as_dict() == other.as_dict()
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class Event(Model):
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"""A raw event from the source system. Events have Traits.
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Metrics will be derived from one or more Events.
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"""
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DUPLICATE = 1
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UNKNOWN_PROBLEM = 2
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def __init__(self, message_id, event_type, generated, traits):
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"""Create a new event.
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:param message_id: Unique ID for the message this event
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stemmed from. This is different than
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the Event ID, which comes from the
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underlying storage system.
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:param event_type: The type of the event.
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:param generated: UTC time for when the event occured.
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:param traits: list of Traits on this Event.
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"""
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Model.__init__(self, message_id=message_id, event_type=event_type,
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generated=generated, traits=traits)
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def append_trait(self, trait_model):
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self.traits.append(trait_model)
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def __repr__(self):
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trait_list = []
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if self.traits:
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trait_list = [str(trait) for trait in self.traits]
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return "<Event: %s, %s, %s, %s>" % \
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(self.message_id, self.event_type, self.generated,
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" ".join(trait_list))
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class Trait(Model):
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"""A Trait is a key/value pair of data on an Event. The value is variant
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record of basic data types (int, date, float, etc).
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"""
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NONE_TYPE = 0
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TEXT_TYPE = 1
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INT_TYPE = 2
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FLOAT_TYPE = 3
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DATETIME_TYPE = 4
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def __init__(self, name, dtype, value):
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if not dtype:
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dtype = Trait.NONE_TYPE
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Model.__init__(self, name=name, dtype=dtype, value=value)
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def __repr__(self):
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return "<Trait: %s %d %s>" % (self.name, self.dtype, self.value)
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@classmethod
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def get_type_by_name(cls, type_name):
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return getattr(cls, '%s_TYPE' % type_name.upper(), None)
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@classmethod
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def convert_value(cls, trait_type, value):
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if trait_type is cls.INT_TYPE:
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return int(value)
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if trait_type is cls.FLOAT_TYPE:
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return float(value)
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if trait_type is cls.DATETIME_TYPE:
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return timeutils.normalize_time(timeutils.parse_isotime(value))
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return str(value)
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class Resource(Model):
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"""Something for which sample data has been collected.
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"""
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def __init__(self, resource_id, project_id,
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first_sample_timestamp,
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last_sample_timestamp,
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source, user_id, metadata,
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meter):
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"""Create a new resource.
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:param resource_id: UUID of the resource
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:param project_id: UUID of project owning the resource
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:param first_sample_timestamp: first sample timestamp captured
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:param last_sample_timestamp: last sample timestamp captured
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:param source: the identifier for the user/project id definition
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:param user_id: UUID of user owning the resource
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:param metadata: most current metadata for the resource (a dict)
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:param meter: list of the meters reporting data for the resource,
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"""
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Model.__init__(self,
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resource_id=resource_id,
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first_sample_timestamp=first_sample_timestamp,
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last_sample_timestamp=last_sample_timestamp,
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project_id=project_id,
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source=source,
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user_id=user_id,
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metadata=metadata,
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meter=meter,
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)
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class ResourceMeter(Model):
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"""The definitions of the meters for which data has been collected
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for a resource.
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See Resource.meter field.
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"""
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def __init__(self, counter_name, counter_type, counter_unit):
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"""Create a new resource meter.
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:param counter_name: the name of the counter updating the resource
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:param counter_type: one of gauge, delta, cumulative
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:param counter_unit: official units name for the sample data
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"""
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Model.__init__(self,
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counter_name=counter_name,
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counter_type=counter_type,
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counter_unit=counter_unit,
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)
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class Meter(Model):
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"""Definition of a meter for which sample data has been collected.
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"""
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def __init__(self, name, type, unit, resource_id, project_id, source,
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user_id):
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"""Create a new meter.
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:param name: name of the meter
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:param type: type of the meter (guage, counter)
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:param unit: unit of the meter
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:param resource_id: UUID of the resource
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:param project_id: UUID of project owning the resource
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:param source: the identifier for the user/project id definition
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:param user_id: UUID of user owning the resource
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"""
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Model.__init__(self,
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name=name,
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type=type,
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unit=unit,
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resource_id=resource_id,
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project_id=project_id,
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source=source,
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user_id=user_id,
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)
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class Sample(Model):
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"""One collected data point.
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"""
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def __init__(self,
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source,
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counter_name, counter_type, counter_unit, counter_volume,
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user_id, project_id, resource_id,
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timestamp, resource_metadata,
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message_id,
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message_signature,
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):
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"""Create a new sample.
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:param source: the identifier for the user/project id definition
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:param counter_name: the name of the measurement being taken
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:param counter_type: the type of the measurement
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:param counter_unit: the units for the measurement
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:param counter_volume: the measured value
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:param user_id: the user that triggered the measurement
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:param project_id: the project that owns the resource
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:param resource_id: the thing on which the measurement was taken
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:param timestamp: the time of the measurement
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:param resource_metadata: extra details about the resource
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:param message_id: a message identifier
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:param message_signature: a hash created from the rest of the
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message data
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"""
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Model.__init__(self,
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source=source,
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counter_name=counter_name,
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counter_type=counter_type,
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counter_unit=counter_unit,
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counter_volume=counter_volume,
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user_id=user_id,
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project_id=project_id,
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resource_id=resource_id,
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timestamp=timestamp,
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resource_metadata=resource_metadata,
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message_id=message_id,
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message_signature=message_signature)
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class Statistics(Model):
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"""Computed statistics based on a set of sample data.
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"""
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def __init__(self, unit,
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min, max, avg, sum, count,
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period, period_start, period_end,
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duration, duration_start, duration_end,
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groupby):
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"""Create a new statistics object.
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:param unit: The unit type of the data set
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:param min: The smallest volume found
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:param max: The largest volume found
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:param avg: The average of all volumes found
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:param sum: The total of all volumes found
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:param count: The number of samples found
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:param period: The length of the time range covered by these stats
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:param period_start: The timestamp for the start of the period
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:param period_end: The timestamp for the end of the period
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:param duration: The total time for the matching samples
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:param duration_start: The earliest time for the matching samples
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:param duration_end: The latest time for the matching samples
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:param groupby: The fields used to group the samples.
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"""
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Model.__init__(self, unit=unit,
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min=min, max=max, avg=avg, sum=sum, count=count,
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period=period, period_start=period_start,
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period_end=period_end, duration=duration,
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duration_start=duration_start,
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duration_end=duration_end,
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groupby=groupby)
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class Alarm(Model):
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ALARM_INSUFFICIENT_DATA = 'insufficient data'
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ALARM_OK = 'ok'
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ALARM_ALARM = 'alarm'
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ALARM_ACTIONS_MAP = {
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ALARM_INSUFFICIENT_DATA: 'insufficient_data_actions',
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ALARM_OK: 'ok_actions',
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ALARM_ALARM: 'alarm_actions',
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}
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"""
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An alarm to monitor.
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:param alarm_id: UUID of the alarm
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:param type: type of the alarm
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:param name: The Alarm name
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:param description: User friendly description of the alarm
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:param enabled: Is the alarm enabled
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:param state: Alarm state (ok/alarm/insufficient data)
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:param rule: A rule that defines when the alarm fires
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:param user_id: the owner/creator of the alarm
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:param project_id: the project_id of the creator
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:param evaluation_periods: the number of periods
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:param period: the time period in seconds
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:param timestamp: the timestamp when the alarm was last updated
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:param state_timestamp: the timestamp of the last state change
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:param ok_actions: the list of webhooks to call when entering the ok state
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:param alarm_actions: the list of webhooks to call when entering the
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alarm state
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:param insufficient_data_actions: the list of webhooks to call when
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entering the insufficient data state
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:param repeat_actions: Is the actions should be triggered on each
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alarm evaluation.
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"""
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def __init__(self, alarm_id, type, enabled, name, description,
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timestamp, user_id, project_id, state, state_timestamp,
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ok_actions, alarm_actions, insufficient_data_actions,
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repeat_actions, rule):
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Model.__init__(
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self,
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alarm_id=alarm_id,
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type=type,
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enabled=enabled,
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name=name,
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description=description,
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timestamp=timestamp,
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user_id=user_id,
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project_id=project_id,
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state=state,
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state_timestamp=state_timestamp,
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ok_actions=ok_actions,
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alarm_actions=alarm_actions,
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insufficient_data_actions=
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insufficient_data_actions,
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repeat_actions=repeat_actions,
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rule=rule)
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class AlarmChange(Model):
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"""Record of an alarm change.
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:param event_id: UUID of the change event
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:param alarm_id: UUID of the alarm
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:param type: The type of change
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:param detail: JSON fragment describing change
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:param user_id: the user ID of the initiating identity
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:param project_id: the project ID of the initiating identity
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:param on_behalf_of: the tenant on behalf of which the change
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is being made
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:param timestamp: the timestamp of the change
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"""
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CREATION = 'creation'
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RULE_CHANGE = 'rule change'
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STATE_TRANSITION = 'state transition'
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DELETION = 'deletion'
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def __init__(self,
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event_id,
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alarm_id,
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type,
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detail,
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user_id,
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project_id,
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on_behalf_of,
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timestamp=None
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):
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Model.__init__(
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self,
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event_id=event_id,
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alarm_id=alarm_id,
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type=type,
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detail=detail,
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user_id=user_id,
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project_id=project_id,
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on_behalf_of=on_behalf_of,
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timestamp=timestamp)
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