ceilometer/ceilometer/storage/sqlalchemy/models.py

392 lines
12 KiB
Python

#
# Author: John Tran <jhtran@att.com>
#
# 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.
"""
SQLAlchemy models for Ceilometer data.
"""
import json
from oslo.utils import timeutils
import six
from sqlalchemy import (Column, Integer, String, ForeignKey, Index,
UniqueConstraint, BigInteger, join)
from sqlalchemy import Float, Boolean, Text, DateTime
from sqlalchemy.dialects.mysql import DECIMAL
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import backref
from sqlalchemy.orm import column_property
from sqlalchemy.orm import relationship
from sqlalchemy.types import TypeDecorator
from ceilometer.storage import models as api_models
from ceilometer import utils
class JSONEncodedDict(TypeDecorator):
"""Represents an immutable structure as a json-encoded string."""
impl = String
def process_bind_param(self, value, dialect):
if value is not None:
value = json.dumps(value)
return value
def process_result_value(self, value, dialect):
if value is not None:
value = json.loads(value)
return value
class PreciseTimestamp(TypeDecorator):
"""Represents a timestamp precise to the microsecond."""
impl = DateTime
def load_dialect_impl(self, dialect):
if dialect.name == 'mysql':
return dialect.type_descriptor(DECIMAL(precision=20,
scale=6,
asdecimal=True))
return self.impl
def process_bind_param(self, value, dialect):
if value is None:
return value
elif dialect.name == 'mysql':
return utils.dt_to_decimal(value)
return value
def process_result_value(self, value, dialect):
if value is None:
return value
elif dialect.name == 'mysql':
return utils.decimal_to_dt(value)
return value
class CeilometerBase(object):
"""Base class for Ceilometer Models."""
__table_args__ = {'mysql_charset': "utf8",
'mysql_engine': "InnoDB"}
__table_initialized__ = False
def __setitem__(self, key, value):
setattr(self, key, value)
def __getitem__(self, key):
return getattr(self, key)
def update(self, values):
"""Make the model object behave like a dict."""
for k, v in six.iteritems(values):
setattr(self, k, v)
Base = declarative_base(cls=CeilometerBase)
class MetaText(Base):
"""Metering text metadata."""
__tablename__ = 'metadata_text'
__table_args__ = (
Index('ix_meta_text_key', 'meta_key'),
)
id = Column(Integer, ForeignKey('sample.id'), primary_key=True)
meta_key = Column(String(255), primary_key=True)
value = Column(Text)
class MetaBool(Base):
"""Metering boolean metadata."""
__tablename__ = 'metadata_bool'
__table_args__ = (
Index('ix_meta_bool_key', 'meta_key'),
)
id = Column(Integer, ForeignKey('sample.id'), primary_key=True)
meta_key = Column(String(255), primary_key=True)
value = Column(Boolean)
class MetaBigInt(Base):
"""Metering integer metadata."""
__tablename__ = 'metadata_int'
__table_args__ = (
Index('ix_meta_int_key', 'meta_key'),
)
id = Column(Integer, ForeignKey('sample.id'), primary_key=True)
meta_key = Column(String(255), primary_key=True)
value = Column(BigInteger, default=False)
class MetaFloat(Base):
"""Metering float metadata."""
__tablename__ = 'metadata_float'
__table_args__ = (
Index('ix_meta_float_key', 'meta_key'),
)
id = Column(Integer, ForeignKey('sample.id'), primary_key=True)
meta_key = Column(String(255), primary_key=True)
value = Column(Float(53), default=False)
class Meter(Base):
"""Meter definition data."""
__tablename__ = 'meter'
__table_args__ = (
UniqueConstraint('name', 'type', 'unit', name='def_unique'),
Index('ix_meter_name', 'name')
)
id = Column(Integer, primary_key=True)
name = Column(String(255), nullable=False)
type = Column(String(255))
unit = Column(String(255))
samples = relationship("Sample", backref="meter")
class Sample(Base):
"""Metering data."""
__tablename__ = 'sample'
__table_args__ = (
Index('ix_sample_timestamp', 'timestamp'),
Index('ix_sample_user_id', 'user_id'),
Index('ix_sample_project_id', 'project_id'),
Index('ix_sample_meter_id', 'meter_id')
)
id = Column(Integer, primary_key=True)
meter_id = Column(Integer, ForeignKey('meter.id'))
user_id = Column(String(255))
project_id = Column(String(255))
resource_id = Column(String(255))
resource_metadata = Column(JSONEncodedDict())
volume = Column(Float(53))
timestamp = Column(PreciseTimestamp(), default=lambda: timeutils.utcnow())
recorded_at = Column(PreciseTimestamp(),
default=lambda: timeutils.utcnow())
message_signature = Column(String(1000))
message_id = Column(String(1000))
source_id = Column(String(255))
meta_text = relationship("MetaText", backref="sample",
cascade="all, delete-orphan")
meta_float = relationship("MetaFloat", backref="sample",
cascade="all, delete-orphan")
meta_int = relationship("MetaBigInt", backref="sample",
cascade="all, delete-orphan")
meta_bool = relationship("MetaBool", backref="sample",
cascade="all, delete-orphan")
class MeterSample(Base):
"""Helper model.
It's needed as many of the filters work against Sample data joined with
Meter data.
"""
meter = Meter.__table__
sample = Sample.__table__
__table__ = join(meter, sample)
id = column_property(sample.c.id)
meter_id = column_property(meter.c.id, sample.c.meter_id)
counter_name = column_property(meter.c.name)
counter_type = column_property(meter.c.type)
counter_unit = column_property(meter.c.unit)
counter_volume = column_property(sample.c.volume)
class Alarm(Base):
"""Define Alarm data."""
__tablename__ = 'alarm'
__table_args__ = (
Index('ix_alarm_user_id', 'user_id'),
Index('ix_alarm_project_id', 'project_id'),
)
alarm_id = Column(String(255), primary_key=True)
enabled = Column(Boolean)
name = Column(Text)
type = Column(String(50))
description = Column(Text)
timestamp = Column(PreciseTimestamp, default=lambda: timeutils.utcnow())
user_id = Column(String(255))
project_id = Column(String(255))
state = Column(String(255))
state_timestamp = Column(PreciseTimestamp,
default=lambda: timeutils.utcnow())
ok_actions = Column(JSONEncodedDict)
alarm_actions = Column(JSONEncodedDict)
insufficient_data_actions = Column(JSONEncodedDict)
repeat_actions = Column(Boolean)
rule = Column(JSONEncodedDict)
time_constraints = Column(JSONEncodedDict)
class AlarmChange(Base):
"""Define AlarmChange data."""
__tablename__ = 'alarm_history'
__table_args__ = (
Index('ix_alarm_history_alarm_id', 'alarm_id'),
)
event_id = Column(String(255), primary_key=True)
alarm_id = Column(String(255))
on_behalf_of = Column(String(255))
project_id = Column(String(255))
user_id = Column(String(255))
type = Column(String(20))
detail = Column(Text)
timestamp = Column(PreciseTimestamp, default=lambda: timeutils.utcnow())
class EventType(Base):
"""Types of event records."""
__tablename__ = 'event_type'
id = Column(Integer, primary_key=True)
desc = Column(String(255), unique=True)
def __init__(self, event_type):
self.desc = event_type
def __repr__(self):
return "<EventType: %s>" % self.desc
class Event(Base):
__tablename__ = 'event'
__table_args__ = (
Index('ix_event_message_id', 'message_id'),
Index('ix_event_type_id', 'event_type_id'),
Index('ix_event_generated', 'generated')
)
id = Column(Integer, primary_key=True)
message_id = Column(String(50), unique=True)
generated = Column(PreciseTimestamp())
event_type_id = Column(Integer, ForeignKey('event_type.id'))
event_type = relationship("EventType", backref='events')
def __init__(self, message_id, event_type, generated):
self.message_id = message_id
self.event_type = event_type
self.generated = generated
def __repr__(self):
return "<Event %d('Event: %s %s, Generated: %s')>" % (self.id,
self.message_id,
self.event_type,
self.generated)
class TraitType(Base):
"""Types of event traits.
A trait type includes a description and a data type. Uniqueness is
enforced compositely on the data_type and desc fields. This is to
accommodate cases, such as 'generated', which, depending on the
corresponding event, could be a date, a boolean, or a float.
"""
__tablename__ = 'trait_type'
__table_args__ = (
UniqueConstraint('desc', 'data_type', name='tt_unique'),
Index('ix_trait_type', 'desc')
)
id = Column(Integer, primary_key=True)
desc = Column(String(255))
data_type = Column(Integer)
def __init__(self, desc, data_type):
self.desc = desc
self.data_type = data_type
def __repr__(self):
return "<TraitType: %s:%d>" % (self.desc, self.data_type)
class Trait(Base):
__tablename__ = 'trait'
__table_args__ = (
Index('ix_trait_t_int', 't_int'),
Index('ix_trait_t_string', 't_string'),
Index('ix_trait_t_datetime', 't_datetime'),
Index('ix_trait_t_float', 't_float'),
)
id = Column(Integer, primary_key=True)
trait_type_id = Column(Integer, ForeignKey('trait_type.id'))
trait_type = relationship("TraitType", backref='traits')
t_string = Column(String(255), nullable=True, default=None)
t_float = Column(Float(53), nullable=True, default=None)
t_int = Column(Integer, nullable=True, default=None)
t_datetime = Column(PreciseTimestamp(), nullable=True, default=None)
event_id = Column(Integer, ForeignKey('event.id'))
event = relationship("Event", backref=backref('traits', order_by=id))
_value_map = {api_models.Trait.TEXT_TYPE: 't_string',
api_models.Trait.FLOAT_TYPE: 't_float',
api_models.Trait.INT_TYPE: 't_int',
api_models.Trait.DATETIME_TYPE: 't_datetime'}
def __init__(self, trait_type, event, t_string=None,
t_float=None, t_int=None, t_datetime=None):
self.trait_type = trait_type
self.t_string = t_string
self.t_float = t_float
self.t_int = t_int
self.t_datetime = t_datetime
self.event = event
def get_value(self):
if self.trait_type is None:
dtype = None
else:
dtype = self.trait_type.data_type
if dtype == api_models.Trait.INT_TYPE:
return self.t_int
if dtype == api_models.Trait.FLOAT_TYPE:
return self.t_float
if dtype == api_models.Trait.DATETIME_TYPE:
return self.t_datetime
if dtype == api_models.Trait.TEXT_TYPE:
return self.t_string
return None
def __repr__(self):
name = self.trait_type.desc if self.trait_type else None
data_type = (self.trait_type.data_type if self.trait_type else
api_models.Trait.NONE_TYPE)
return "<Trait(%s) %d=%s/%s/%s/%s on %s>" % (name,
data_type,
self.t_string,
self.t_float,
self.t_int,
self.t_datetime,
self.event)