430 lines
14 KiB
Python
430 lines
14 KiB
Python
#
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# Author: John Tran <jhtran@att.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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"""
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SQLAlchemy models for Ceilometer data.
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"""
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import hashlib
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import json
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from oslo.utils import timeutils
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import six
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from sqlalchemy import (Column, Integer, String, ForeignKey, Index,
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UniqueConstraint, BigInteger)
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from sqlalchemy import event, select
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from sqlalchemy import Float, Boolean, Text, DateTime
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from sqlalchemy.dialects.mysql import DECIMAL
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import backref
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from sqlalchemy.orm import deferred
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from sqlalchemy.orm import relationship
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from sqlalchemy.types import TypeDecorator
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from ceilometer.event.storage import models
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from ceilometer import utils
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class JSONEncodedDict(TypeDecorator):
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"""Represents an immutable structure as a json-encoded string."""
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impl = String
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@staticmethod
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def process_bind_param(value, dialect):
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if value is not None:
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value = json.dumps(value)
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return value
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@staticmethod
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def process_result_value(value, dialect):
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if value is not None:
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value = json.loads(value)
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return value
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class PreciseTimestamp(TypeDecorator):
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"""Represents a timestamp precise to the microsecond."""
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impl = DateTime
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def load_dialect_impl(self, dialect):
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if dialect.name == 'mysql':
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return dialect.type_descriptor(DECIMAL(precision=20,
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scale=6,
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asdecimal=True))
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return self.impl
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@staticmethod
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def process_bind_param(value, dialect):
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if value is None:
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return value
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elif dialect.name == 'mysql':
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return utils.dt_to_decimal(value)
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return value
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@staticmethod
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def process_result_value(value, dialect):
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if value is None:
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return value
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elif dialect.name == 'mysql':
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return utils.decimal_to_dt(value)
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return value
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class CeilometerBase(object):
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"""Base class for Ceilometer Models."""
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__table_args__ = {'mysql_charset': "utf8",
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'mysql_engine': "InnoDB"}
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__table_initialized__ = False
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def __setitem__(self, key, value):
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setattr(self, key, value)
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def __getitem__(self, key):
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return getattr(self, key)
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def update(self, values):
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"""Make the model object behave like a dict."""
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for k, v in six.iteritems(values):
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setattr(self, k, v)
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Base = declarative_base(cls=CeilometerBase)
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class MetaText(Base):
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"""Metering text metadata."""
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__tablename__ = 'metadata_text'
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__table_args__ = (
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Index('ix_meta_text_key', 'meta_key'),
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)
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id = Column(Integer, ForeignKey('resource.internal_id'), primary_key=True)
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meta_key = Column(String(255), primary_key=True)
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value = Column(Text)
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class MetaBool(Base):
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"""Metering boolean metadata."""
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__tablename__ = 'metadata_bool'
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__table_args__ = (
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Index('ix_meta_bool_key', 'meta_key'),
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)
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id = Column(Integer, ForeignKey('resource.internal_id'), primary_key=True)
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meta_key = Column(String(255), primary_key=True)
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value = Column(Boolean)
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class MetaBigInt(Base):
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"""Metering integer metadata."""
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__tablename__ = 'metadata_int'
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__table_args__ = (
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Index('ix_meta_int_key', 'meta_key'),
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)
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id = Column(Integer, ForeignKey('resource.internal_id'), primary_key=True)
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meta_key = Column(String(255), primary_key=True)
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value = Column(BigInteger, default=False)
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class MetaFloat(Base):
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"""Metering float metadata."""
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__tablename__ = 'metadata_float'
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__table_args__ = (
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Index('ix_meta_float_key', 'meta_key'),
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)
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id = Column(Integer, ForeignKey('resource.internal_id'), primary_key=True)
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meta_key = Column(String(255), primary_key=True)
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value = Column(Float(53), default=False)
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class Meter(Base):
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"""Meter definition data."""
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__tablename__ = 'meter'
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__table_args__ = (
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UniqueConstraint('name', 'type', 'unit', name='def_unique'),
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Index('ix_meter_name', 'name'),
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)
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id = Column(Integer, primary_key=True)
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name = Column(String(255), nullable=False)
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type = Column(String(255))
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unit = Column(String(255))
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samples = relationship("Sample", backref="meter")
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class Resource(Base):
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"""Resource data."""
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__tablename__ = 'resource'
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__table_args__ = (
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# TODO(gordc): this should exist but the attribute values we set
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# for user/project/source/resource id's are too large
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# for a uuid.
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# UniqueConstraint('resource_id', 'user_id', 'project_id',
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# 'source_id', 'metadata_hash',
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# name='res_def_unique'),
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Index('ix_resource_resource_id', 'resource_id'),
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)
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internal_id = Column(Integer, primary_key=True)
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user_id = Column(String(255))
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project_id = Column(String(255))
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source_id = Column(String(255))
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resource_id = Column(String(255), nullable=False)
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resource_metadata = deferred(Column(JSONEncodedDict()))
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metadata_hash = deferred(Column(String(32)))
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samples = relationship("Sample", backref="resource")
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meta_text = relationship("MetaText", backref="resource",
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cascade="all, delete-orphan")
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meta_float = relationship("MetaFloat", backref="resource",
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cascade="all, delete-orphan")
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meta_int = relationship("MetaBigInt", backref="resource",
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cascade="all, delete-orphan")
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meta_bool = relationship("MetaBool", backref="resource",
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cascade="all, delete-orphan")
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@event.listens_for(Resource, "before_insert")
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def before_insert(mapper, connection, target):
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metadata = json.dumps(target.resource_metadata, sort_keys=True)
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target.metadata_hash = hashlib.md5(metadata).hexdigest()
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class Sample(Base):
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"""Metering data."""
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__tablename__ = 'sample'
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__table_args__ = (
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Index('ix_sample_timestamp', 'timestamp'),
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Index('ix_sample_resource_id', 'resource_id'),
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Index('ix_sample_meter_id', 'meter_id'),
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Index('ix_sample_meter_id_resource_id', 'meter_id', 'resource_id')
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)
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id = Column(Integer, primary_key=True)
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meter_id = Column(Integer, ForeignKey('meter.id'))
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resource_id = Column(Integer, ForeignKey('resource.internal_id'))
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volume = Column(Float(53))
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timestamp = Column(PreciseTimestamp(), default=lambda: timeutils.utcnow())
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recorded_at = Column(PreciseTimestamp(),
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default=lambda: timeutils.utcnow())
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message_signature = Column(String(1000))
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message_id = Column(String(1000))
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class FullSample(Base):
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"""Mapper model.
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It's needed as many of the filters work against raw data which is split
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between Meter, Sample, and Resource tables
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"""
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meter = Meter.__table__
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sample = Sample.__table__
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resource = Resource.__table__
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__table__ = (select([sample.c.id, meter.c.name.label('counter_name'),
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meter.c.type.label('counter_type'),
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meter.c.unit.label('counter_unit'),
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sample.c.volume.label('counter_volume'),
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resource.c.resource_id, resource.c.source_id,
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resource.c.user_id, resource.c.project_id,
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resource.c.resource_metadata, resource.c.internal_id,
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sample.c.timestamp, sample.c.message_id,
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sample.c.message_signature, sample.c.recorded_at])
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.select_from(
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sample.join(meter, sample.c.meter_id == meter.c.id).join(
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resource,
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sample.c.resource_id == resource.c.internal_id))
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.alias())
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class Alarm(Base):
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"""Define Alarm data."""
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__tablename__ = 'alarm'
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__table_args__ = (
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Index('ix_alarm_user_id', 'user_id'),
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Index('ix_alarm_project_id', 'project_id'),
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)
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alarm_id = Column(String(255), primary_key=True)
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enabled = Column(Boolean)
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name = Column(Text)
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type = Column(String(50))
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description = Column(Text)
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timestamp = Column(PreciseTimestamp, default=lambda: timeutils.utcnow())
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user_id = Column(String(255))
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project_id = Column(String(255))
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state = Column(String(255))
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state_timestamp = Column(PreciseTimestamp,
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default=lambda: timeutils.utcnow())
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ok_actions = Column(JSONEncodedDict)
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alarm_actions = Column(JSONEncodedDict)
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insufficient_data_actions = Column(JSONEncodedDict)
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repeat_actions = Column(Boolean)
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rule = Column(JSONEncodedDict)
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time_constraints = Column(JSONEncodedDict)
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class AlarmChange(Base):
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"""Define AlarmChange data."""
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__tablename__ = 'alarm_history'
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__table_args__ = (
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Index('ix_alarm_history_alarm_id', 'alarm_id'),
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)
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event_id = Column(String(255), primary_key=True)
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alarm_id = Column(String(255))
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on_behalf_of = Column(String(255))
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project_id = Column(String(255))
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user_id = Column(String(255))
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type = Column(String(20))
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detail = Column(Text)
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timestamp = Column(PreciseTimestamp, default=lambda: timeutils.utcnow())
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class EventType(Base):
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"""Types of event records."""
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__tablename__ = 'event_type'
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id = Column(Integer, primary_key=True)
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desc = Column(String(255), unique=True)
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def __init__(self, event_type):
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self.desc = event_type
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def __repr__(self):
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return "<EventType: %s>" % self.desc
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class Event(Base):
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__tablename__ = 'event'
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__table_args__ = (
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Index('ix_event_message_id', 'message_id'),
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Index('ix_event_type_id', 'event_type_id'),
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Index('ix_event_generated', 'generated')
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)
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id = Column(Integer, primary_key=True)
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message_id = Column(String(50), unique=True)
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generated = Column(PreciseTimestamp())
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event_type_id = Column(Integer, ForeignKey('event_type.id'))
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event_type = relationship("EventType", backref='events')
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def __init__(self, message_id, event_type, generated):
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self.message_id = message_id
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self.event_type = event_type
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self.generated = generated
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def __repr__(self):
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return "<Event %d('Event: %s %s, Generated: %s')>" % (self.id,
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self.message_id,
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self.event_type,
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self.generated)
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class TraitType(Base):
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"""Types of event traits.
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A trait type includes a description and a data type. Uniqueness is
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enforced compositely on the data_type and desc fields. This is to
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accommodate cases, such as 'generated', which, depending on the
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corresponding event, could be a date, a boolean, or a float.
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"""
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__tablename__ = 'trait_type'
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__table_args__ = (
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UniqueConstraint('desc', 'data_type', name='tt_unique'),
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Index('ix_trait_type', 'desc')
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)
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id = Column(Integer, primary_key=True)
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desc = Column(String(255))
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data_type = Column(Integer)
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def __init__(self, desc, data_type):
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self.desc = desc
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self.data_type = data_type
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def __repr__(self):
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return "<TraitType: %s:%d>" % (self.desc, self.data_type)
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class Trait(Base):
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__tablename__ = 'trait'
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__table_args__ = (
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Index('ix_trait_t_int', 't_int'),
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Index('ix_trait_t_string', 't_string'),
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Index('ix_trait_t_datetime', 't_datetime'),
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Index('ix_trait_t_float', 't_float'),
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)
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id = Column(Integer, primary_key=True)
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trait_type_id = Column(Integer, ForeignKey('trait_type.id'))
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trait_type = relationship("TraitType", backref='traits')
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t_string = Column(String(255), nullable=True, default=None)
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t_float = Column(Float(53), nullable=True, default=None)
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t_int = Column(Integer, nullable=True, default=None)
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t_datetime = Column(PreciseTimestamp(), nullable=True, default=None)
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event_id = Column(Integer, ForeignKey('event.id'))
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event = relationship("Event", backref=backref('traits', order_by=id))
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_value_map = {models.Trait.TEXT_TYPE: 't_string',
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models.Trait.FLOAT_TYPE: 't_float',
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models.Trait.INT_TYPE: 't_int',
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models.Trait.DATETIME_TYPE: 't_datetime'}
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def __init__(self, trait_type, event, t_string=None,
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t_float=None, t_int=None, t_datetime=None):
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self.trait_type = trait_type
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self.t_string = t_string
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self.t_float = t_float
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self.t_int = t_int
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self.t_datetime = t_datetime
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self.event = event
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def get_value(self):
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if self.trait_type is None:
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dtype = None
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else:
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dtype = self.trait_type.data_type
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if dtype == models.Trait.INT_TYPE:
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return self.t_int
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if dtype == models.Trait.FLOAT_TYPE:
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return self.t_float
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if dtype == models.Trait.DATETIME_TYPE:
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return self.t_datetime
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if dtype == models.Trait.TEXT_TYPE:
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return self.t_string
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return None
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def __repr__(self):
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name = self.trait_type.desc if self.trait_type else None
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data_type = (self.trait_type.data_type if self.trait_type else
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models.Trait.NONE_TYPE)
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return "<Trait(%s) %d=%s/%s/%s/%s on %s>" % (name,
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data_type,
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self.t_string,
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self.t_float,
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self.t_int,
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self.t_datetime,
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self.event)
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