File size: 2,565 Bytes
476455e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | # 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.
"""Helper methods for testing."""
from __future__ import absolute_import
from sagemaker.workflow.properties import Properties
from sagemaker.workflow.steps import ConfigurableRetryStep, StepTypeEnum
from sagemaker.workflow.step_collections import StepCollection
def ordered(obj):
"""Helper function for dict comparison.
Recursively orders a json-like dict or list of dicts.
Args:
obj: either a list or a dict
Returns:
either a sorted list of elements or sorted list of tuples
"""
if isinstance(obj, dict):
return sorted((k, ordered(v)) for k, v in obj.items())
if isinstance(obj, list):
return sorted(ordered(x) for x in obj)
else:
return obj
class CustomStep(ConfigurableRetryStep):
def __init__(
self,
name,
input_data=None,
display_name=None,
description=None,
depends_on=None,
retry_policies=None,
):
self.input_data = input_data
super(CustomStep, self).__init__(
name, StepTypeEnum.TRAINING, display_name, description, depends_on, retry_policies
)
# for testing property reference, we just use DescribeTrainingJobResponse shape here.
self._properties = Properties(name, shape_name="DescribeTrainingJobResponse")
@property
def arguments(self):
if self.input_data:
return {"input_data": self.input_data}
return dict()
@property
def properties(self):
return self._properties
class CustomStepCollection(StepCollection):
def __init__(self, name, num_steps=2, depends_on=None):
steps = []
previous_step = None
for i in range(num_steps):
step_depends_on = depends_on if not previous_step else [previous_step]
step = CustomStep(name=f"{name}-{i}", depends_on=step_depends_on)
steps.append(step)
previous_step = step
super(CustomStepCollection, self).__init__(name, steps)
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