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# Copyright 2019 The TensorFlow Authors. 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.
# ==============================================================================
"""Classes and functions for handling the GetExperiment API call."""
from tensorboard.plugins.hparams import api_pb2
class Handler:
"""Handles a GetExperiment request."""
def __init__(
self, request_context, backend_context, experiment_id, request
):
"""Constructor.
Args:
request_context: A tensorboard.context.RequestContext.
backend_context: A backend_context.Context instance.
experiment_id: A string, as from `plugin_util.experiment_id`.
request: A request proto.
"""
self._request_context = request_context
self._backend_context = backend_context
self._experiment_id = experiment_id
self._include_metrics = (
# Metrics are included by default if include_metrics is not
# specified in the request.
not request.HasField("include_metrics")
or request.include_metrics
)
self._hparams_limit = (
request.hparams_limit
if isinstance(request, api_pb2.GetExperimentRequest)
else None
)
def run(self):
"""Handles the request specified on construction.
Returns:
An Experiment object.
"""
data_provider_hparams = (
self._backend_context.hparams_from_data_provider(
self._request_context,
self._experiment_id,
limit=self._hparams_limit,
)
)
return self._backend_context.experiment_from_metadata(
self._request_context,
self._experiment_id,
self._include_metrics,
self._backend_context.hparams_metadata(
self._request_context, self._experiment_id
),
data_provider_hparams,
self._hparams_limit,
)
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