190 lines
7.3 KiB
Python
190 lines
7.3 KiB
Python
# 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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from oslo_log import log as logging
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from oslo_versionedobjects import fields
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from gyan.common import exception
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from gyan.common.i18n import _
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from gyan.db import api as dbapi
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from gyan.objects import base
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from gyan.objects import fields as z_fields
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LOG = logging.getLogger(__name__)
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@base.GyanObjectRegistry.register
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class ML_Model(base.GyanPersistentObject, base.GyanObject):
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VERSION = '1'
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fields = {
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'id': fields.UUIDField(nullable=True),
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'name': fields.StringField(nullable=True),
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'project_id': fields.StringField(nullable=True),
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'user_id': fields.StringField(nullable=True),
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'status': fields.StringField(nullable=True),
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'status_reason': fields.StringField(nullable=True),
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'url': fields.StringField(nullable=True),
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'deployed': fields.BooleanField(nullable=True),
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'hints': fields.StringField(nullable=True),
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'created_at': fields.DateTimeField(tzinfo_aware=False, nullable=True),
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'updated_at': fields.DateTimeField(tzinfo_aware=False, nullable=True),
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'ml_data': z_fields.ModelField(nullable=True),
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'ml_type': fields.StringField(nullable=True)
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}
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@staticmethod
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def _from_db_object(ml_model, db_ml_model):
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"""Converts a database entity to a formal object."""
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for field in ml_model.fields:
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if 'field' == 'ml_data':
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continue
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setattr(ml_model, field, db_ml_model[field])
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ml_model.obj_reset_changes()
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return ml_model
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@staticmethod
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def _from_db_object_list(db_objects, cls, context):
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"""Converts a list of database entities to a list of formal objects."""
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return [ML_Model._from_db_object(cls(context), obj)
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for obj in db_objects]
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@base.remotable_classmethod
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def get_by_uuid(cls, context, uuid):
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"""Find a ml model based on uuid and return a :class:`ML_Model` object.
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:param uuid: the uuid of a ml model.
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:param context: Security context
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:returns: a :class:`ML_Model` object.
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"""
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db_ml_model = dbapi.get_ml_model_by_uuid(context, uuid)
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ml_model = ML_Model._from_db_object(cls(context), db_ml_model)
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return ml_model
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@base.remotable_classmethod
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def get_by_uuid_db(cls, context, uuid):
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"""Find a ml model based on uuid and return a :class:`ML_Model` object.
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:param uuid: the uuid of a ml model.
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:param context: Security context
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:returns: a :class:`ML_Model` object.
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"""
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db_ml_model = dbapi.get_ml_model_by_uuid(context, uuid)
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return db_ml_model
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@base.remotable_classmethod
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def get_by_name(cls, context, name):
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"""Find a ml model based on name and return a Ml model object.
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:param name: the logical name of a ml model.
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:param context: Security context
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:returns: a :class:`ML_Model` object.
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"""
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db_ml_model = dbapi.get_ml_model_by_name(context, name)
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ml_model = ML_Model._from_db_object(cls(context), db_ml_model)
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return ml_model
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@base.remotable_classmethod
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def list(cls, context, limit=None, marker=None,
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sort_key=None, sort_dir=None, filters=None):
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"""Return a list of ML Model objects.
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:param context: Security context.
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:param limit: maximum number of resources to return in a single result.
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:param marker: pagination marker for large data sets.
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:param sort_key: column to sort results by.
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:param sort_dir: direction to sort. "asc" or "desc".
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:param filters: filters when list ml models, the filter name could be
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'name', 'project_id', 'user_id'.
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:returns: a list of :class:`ML_Model` object.
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"""
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db_ml_models = dbapi.list_ml_models(
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context, limit=limit, marker=marker, sort_key=sort_key,
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sort_dir=sort_dir, filters=filters)
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return ML_Model._from_db_object_list(db_ml_models, cls, context)
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@base.remotable_classmethod
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def list_by_host(cls, context, host):
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"""Return a list of ML Model objects by host.
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:param context: Security context.
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:param host: A compute host.
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:returns: a list of :class:`ML_Model` object.
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"""
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db_ml_models = dbapi.list_ml_models(context, filters={'host': host})
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return ML_Model._from_db_object_list(db_ml_models, cls, context)
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def create(self, context):
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"""Create a ML_Model record in the DB.
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:param context: Security context. NOTE: This should only
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be used internally by the indirection_api.
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Unfortunately, RPC requires context as the first
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argument, even though we don't use it.
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A context should be set when instantiating the
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object, e.g.: ML_Model(context)
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"""
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values = self.obj_get_changes()
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db_ml_model = dbapi.create_ml_model(context, values)
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return self._from_db_object(self, db_ml_model)
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@base.remotable
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def destroy(self, context=None):
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"""Delete the ML_Model from the DB.
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:param context: Security context. NOTE: This should only
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be used internally by the indirection_api.
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Unfortunately, RPC requires context as the first
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argument, even though we don't use it.
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A context should be set when instantiating the
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object, e.g.: ML Model(context)
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"""
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dbapi.destroy_ml_model(context, self.id)
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self.obj_reset_changes()
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@base.remotable
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def save(self, context=None):
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"""Save updates to this ML Model.
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Updates will be made column by column based on the result
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of self.what_changed().
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:param context: Security context. NOTE: This should only
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be used internally by the indirection_api.
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Unfortunately, RPC requires context as the first
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argument, even though we don't use it.
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A context should be set when instantiating the
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object, e.g.: ML Model(context)
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"""
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updates = self.obj_get_changes()
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dbapi.update_ml_model(context, self.id, updates)
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self.obj_reset_changes()
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def obj_load_attr(self, attrname):
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if not self._context:
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raise exception.OrphanedObjectError(method='obj_load_attr',
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objtype=self.obj_name())
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LOG.debug("Lazy-loading '%(attr)s' on %(name)s uuid %(uuid)s",
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{'attr': attrname,
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'name': self.obj_name(),
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'uuid': self.uuid,
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})
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self.obj_reset_changes([attrname])
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