141 lines
4.5 KiB
Python
141 lines
4.5 KiB
Python
# -*- coding: utf-8 -*- #
|
|
# Copyright 2020 Google LLC. All Rights Reserved.
|
|
#
|
|
# 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.
|
|
"""Utilities for AI Platform endpoints commands."""
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import unicode_literals
|
|
|
|
import io
|
|
|
|
from googlecloudsdk.command_lib.ai import errors
|
|
from googlecloudsdk.core import resources
|
|
from googlecloudsdk.core import yaml
|
|
from googlecloudsdk.core.console import console_io
|
|
|
|
|
|
def ParseOperation(operation_name):
|
|
"""Parse operation resource to the operation reference object.
|
|
|
|
Args:
|
|
operation_name: The operation resource to wait on
|
|
|
|
Returns:
|
|
The operation reference object
|
|
"""
|
|
if '/endpoints/' in operation_name:
|
|
try:
|
|
return resources.REGISTRY.ParseRelativeName(
|
|
operation_name,
|
|
collection='aiplatform.projects.locations.endpoints.operations',
|
|
)
|
|
except resources.WrongResourceCollectionException:
|
|
pass
|
|
return resources.REGISTRY.ParseRelativeName(
|
|
operation_name, collection='aiplatform.projects.locations.operations'
|
|
)
|
|
|
|
|
|
def _LoadYaml(file_path, sdk_method):
|
|
"""Loads a YAML file."""
|
|
data = console_io.ReadFromFileOrStdin(file_path, binary=True)
|
|
with io.BytesIO(data) as f:
|
|
try:
|
|
return yaml.load(f)
|
|
except ValueError:
|
|
raise errors.InvalidInstancesFileError(
|
|
f'Input is not in JSON format. See `gcloud ai endpoints {sdk_method}'
|
|
' --help` for details.'
|
|
)
|
|
|
|
|
|
def ReadInstancesFromArgs(json_request):
|
|
"""Reads the instances from the given file path ('-' for stdin).
|
|
|
|
Args:
|
|
json_request: str or None, a path to a file ('-' for stdin) containing the
|
|
JSON body of a prediction request.
|
|
|
|
Returns:
|
|
A list of instances.
|
|
|
|
Raises:
|
|
InvalidInstancesFileError: If the input file is invalid (invalid format or
|
|
contains too many/zero instances), or an improper combination of input
|
|
files was given.
|
|
"""
|
|
request = _LoadYaml(json_request, sdk_method='predict')
|
|
|
|
if not isinstance(request, dict):
|
|
raise errors.InvalidInstancesFileError(
|
|
'Input instances are not in JSON format. '
|
|
'See `gcloud ai endpoints predict --help` for details.'
|
|
)
|
|
|
|
if 'instances' not in request:
|
|
raise errors.InvalidInstancesFileError(
|
|
'Invalid JSON request: missing "instances" attribute'
|
|
)
|
|
|
|
if not isinstance(request['instances'], list):
|
|
raise errors.InvalidInstancesFileError(
|
|
'Invalid JSON request: "instances" must be a list'
|
|
)
|
|
|
|
return request
|
|
|
|
|
|
def ReadInputsFromArgs(json_request):
|
|
"""Validates and reads json request for Direct Prediction."""
|
|
request = _LoadYaml(json_request, sdk_method='direct-predict')
|
|
if 'inputs' not in request:
|
|
raise errors.InvalidInstancesFileError('Input json must contain "inputs"')
|
|
return request
|
|
|
|
|
|
def ReadInputFromArgs(json_request):
|
|
"""Validates and reads json request for Direct Raw Prediction."""
|
|
request = _LoadYaml(json_request, sdk_method='direct-raw-predict')
|
|
if 'input' not in request:
|
|
raise errors.InvalidInstancesFileError('Input json must contain "input"')
|
|
if 'method_name' not in request and 'methodName' not in request:
|
|
raise errors.InvalidInstancesFileError(
|
|
'Input json must contain "method_name" or "methodName"'
|
|
)
|
|
return request
|
|
|
|
|
|
def GetDefaultFormat(predictions, key_name='predictions'):
|
|
"""Get default output format for prediction results."""
|
|
if not isinstance(predictions, list):
|
|
# This usually indicates some kind of error case, so surface the full API
|
|
# response
|
|
return 'json'
|
|
elif not predictions:
|
|
return None
|
|
# predictions is guaranteed by API contract to be a list of similarly shaped
|
|
# objects, but we don't know ahead of time what those objects look like.
|
|
elif isinstance(predictions[0], dict):
|
|
keys = ', '.join(sorted(predictions[0].keys()))
|
|
return """
|
|
table(
|
|
{}:format="table(
|
|
{}
|
|
)"
|
|
)""".format(key_name, keys)
|
|
|
|
else:
|
|
return 'table[no-heading]({})'.format(key_name)
|