303da461f5
move event storage models to event module. this is the first step to separating metering and event data. Change-Id: I6d720690a958f5b3accf22db66c830bfa48ed9ae Partially-Implements: blueprint dedicated-event-db
107 lines
3.3 KiB
Python
107 lines
3.3 KiB
Python
#
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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 events storage API.
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"""
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from oslo.utils import timeutils
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from ceilometer.storage import base
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class Event(base.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 occurred.
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:param traits: list of Traits on this Event.
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"""
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base.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(base.Model):
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"""A Trait is a key/value pair of data on an Event.
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The value is variant 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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type_names = {
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NONE_TYPE: "none",
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TEXT_TYPE: "string",
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INT_TYPE: "integer",
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FLOAT_TYPE: "float",
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DATETIME_TYPE: "datetime"
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}
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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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base.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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def get_type_name(self):
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return self.get_name_by_type(self.dtype)
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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 get_type_names(cls):
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return cls.type_names.values()
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@classmethod
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def get_name_by_type(cls, type_id):
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return cls.type_names.get(type_id, "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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