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parameter_utils.py
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parameter_utils.py
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# 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 processing runtime parameters during compilation."""
import threading
from tfx.orchestration import data_types
_thread_local = threading.local()
class ParameterContext(object):
"""A context that helps collecting runtime parameters during compilation.
This context object should be only used by PipelineBuilder during compilation,
to collect all the RuntimeParameter encountered. For example:
```
tasks = []
with ParameterContext() as pc:
for component in components:
tasks.append(step_builder.StepBuilder(...).build())
...
```
Then later on, `pc.parameters` stores the list of all RuntimeParameters
occurred when building each steps, which can be used to populate
pipeline_spec.runtime_parameters field.
"""
def __init__(self):
self.parameters = []
def __enter__(self) -> 'ParameterContext':
if hasattr(_thread_local, 'parameter_list'):
raise RuntimeError('ParameterContext cannot be nested.')
_thread_local.parameter_list = []
return self
def __exit__(self, exc_type, exc_val, exc_tb) -> None:
self.parameters.extend(_thread_local.parameter_list)
_thread_local.__delattr__('parameter_list')
def attach_parameter(parameter: data_types.RuntimeParameter):
"""Attaches a runtime parameter to the current context."""
if not hasattr(_thread_local, 'parameter_list'):
raise RuntimeError('attach_parameter() must run under ParameterContext.')
_thread_local.parameter_list.append(parameter)