112 lines
3.4 KiB
Python
112 lines
3.4 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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import argparse
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from contextlib import closing
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import io
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import json
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import os
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import tarfile
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import time
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import yaml
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from gyanclient.common import cliutils as utils
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from gyanclient.common import utils as gyan_utils
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from gyanclient import exceptions as exc
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def _show_model(model):
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utils.print_dict(model._info)
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@utils.arg('model_id',
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metavar='<model-id>',
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help='ID of the model to delete.')
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def do_model_delete(cs, args):
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"""Delete specified model."""
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try:
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cs.models.delete_model(args.model_id)
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print("Request to delete model %s has been accepted." %
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args.model_id)
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except Exception as e:
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print("Delete for model %(model)s failed: %(e)s" %
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{'model': args.model_id, 'e': e})
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@utils.arg('model_id',
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metavar='<model-id>',
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help='ID or name of the model to show.')
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def do_model_show(cs, args):
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"""Show details of a models."""
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model = cs.models.get(args.model_id)
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_show_model(model)
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@utils.arg('model_id',
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metavar='<model-id>',
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help='ID of the model to be deployed')
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def do_undeploy_model(cs, args):
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"""Undeploy the model."""
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try:
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_, model = cs.models.undeploy_model(args.model_id)
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utils.print_dict(model)
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except Exception as e:
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print("Undeployment of the model %(model)s "
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"failed: %(e)s" % {'model': args.model_id, 'e': e})
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@utils.arg('model_id',
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metavar='<model-id>',
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help='ID of the model to be deployed')
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def do_deploy_model(cs, args):
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"""Deploy already created model."""
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try:
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_, model = cs.models.deploy_model(args.model_id)
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utils.print_dict(model)
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except Exception as e:
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print("Deployment of the model %(model)s "
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"failed: %(e)s" % {'model': args.model_id, 'e': e})
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def do_model_list(cs, args):
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"""List models"""
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models = cs.models.list_models()
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gyan_utils.list_models(models)
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@utils.arg('name',
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metavar='<name>',
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help='ID or name of the model to train')
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@utils.arg('--flavor-id',
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metavar='<flavor_id>',
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help='ID or name of the model to train')
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@utils.arg('--trained-model',
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metavar='<trained_model>',
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help='Absolute path for trained models')
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@utils.arg('--type',
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metavar='<type>',
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help='Type of the ML model')
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def do_create_model(cs, args):
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"""Upload and create a trained model"""
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opts = {}
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opts['name'] = args.name
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opts['type'] = args.type
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opts["flavor_id"] = args.flavor_id
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opts = gyan_utils.remove_null_parms(**opts)
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try:
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opts['trained_model'] = open(args.trained_model, 'rb').read()
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models = cs.models.model_create(**opts)
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gyan_utils.list_models([models])
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except Exception as e:
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print("Creation of model %(model)s "
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"failed: %(e)s" % {'model': args.name, 'e': e})
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