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# Copyright Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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.
"""The step definitions for workflow."""
from __future__ import absolute_import
from typing import List, Dict, Union, Optional
from enum import Enum
import attr
from sagemaker.workflow.entities import (
RequestType,
)
from sagemaker.workflow.properties import (
Properties,
)
from sagemaker.workflow.entities import (
DefaultEnumMeta,
)
from sagemaker.workflow.step_collections import StepCollection
from sagemaker.workflow.steps import Step, StepTypeEnum, CacheConfig
class CallbackOutputTypeEnum(Enum, metaclass=DefaultEnumMeta):
"""CallbackOutput type enum."""
String = "String"
Integer = "Integer"
Boolean = "Boolean"
Float = "Float"
@attr.s
class CallbackOutput:
"""Output for a callback step.
Attributes:
output_name (str): The output name
output_type (CallbackOutputTypeEnum): The output type
"""
output_name: str = attr.ib(default=None)
output_type: CallbackOutputTypeEnum = attr.ib(default=CallbackOutputTypeEnum.String)
def to_request(self) -> RequestType:
"""Get the request structure for workflow service calls."""
return {
"OutputName": self.output_name,
"OutputType": self.output_type.value,
}
def expr(self, step_name) -> Dict[str, str]:
"""The 'Get' expression dict for a `CallbackOutput`."""
return CallbackOutput._expr(self.output_name, step_name)
@classmethod
def _expr(cls, name, step_name):
"""An internal classmethod for the 'Get' expression dict for a `CallbackOutput`.
Args:
name (str): The name of the callback output.
step_name (str): The name of the step the callback step associated
with this output belongs to.
"""
return {"Get": f"Steps.{step_name}.OutputParameters['{name}']"}
class CallbackStep(Step):
"""Callback step for workflow."""
def __init__(
self,
name: str,
sqs_queue_url: str,
inputs: dict,
outputs: List[CallbackOutput],
display_name: str = None,
description: str = None,
cache_config: CacheConfig = None,
depends_on: Optional[List[Union[str, Step, StepCollection]]] = None,
):
"""Constructs a CallbackStep.
Args:
name (str): The name of the callback step.
sqs_queue_url (str): An SQS queue URL for receiving callback messages.
inputs (dict): Input arguments that will be provided
in the SQS message body of callback messages.
outputs (List[CallbackOutput]): Outputs that can be provided when completing a callback.
display_name (str): The display name of the callback step.
description (str): The description of the callback step.
cache_config (CacheConfig): A `sagemaker.workflow.steps.CacheConfig` instance.
depends_on (List[Union[str, Step, StepCollection]]): A list of `Step`/`StepCollection`
names or `Step` instances or `StepCollection` instances that this `CallbackStep`
depends on.
"""
super(CallbackStep, self).__init__(
name, display_name, description, StepTypeEnum.CALLBACK, depends_on
)
self.sqs_queue_url = sqs_queue_url
self.outputs = outputs
self.cache_config = cache_config
self.inputs = inputs
root_prop = Properties(step_name=name)
property_dict = {}
for output in outputs:
property_dict[output.output_name] = Properties(
step_name=name, path=f"OutputParameters['{output.output_name}']"
)
root_prop.__dict__["Outputs"] = property_dict
self._properties = root_prop
@property
def arguments(self) -> RequestType:
"""The arguments dict that is used to define the callback step."""
return self.inputs
@property
def properties(self):
"""A Properties object representing the output parameters of the callback step."""
return self._properties
def to_request(self) -> RequestType:
"""Updates the dictionary with cache configuration."""
request_dict = super().to_request()
if self.cache_config:
request_dict.update(self.cache_config.config)
request_dict["SqsQueueUrl"] = self.sqs_queue_url
request_dict["OutputParameters"] = list(map(lambda op: op.to_request(), self.outputs))
return request_dict