# Copyright 2020 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. # ============================================================================== """Helpers that format the information about experiments as strings.""" import abc import collections import json from tensorboard.uploader import util class BaseExperimentFormatter: """Abstract base class for formatting experiment information as a string.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def format_experiment(self, experiment, experiment_url): """Format the information about an experiment as a representing string. Args: experiment: An `experiment_pb2.Experiment` protobuf message for the experiment to be formatted. experiment_url: The URL at which the experiment can be accessed via TensorBoard. Returns: A string that represents the experiment. """ pass class ReadableFormatter(BaseExperimentFormatter): """A formatter implementation that outputs human-readable text.""" _NAME_COLUMN_WIDTH = 20 def __init__(self): super().__init__() def format_experiment(self, experiment, experiment_url): output = [] output.append(experiment_url) data = [ ("Name", experiment.name or "[No Name]"), ("Description", experiment.description or "[No Description]"), ("Id", experiment.experiment_id), ("Created", util.format_time(experiment.create_time)), ("Updated", util.format_time(experiment.update_time)), ("Runs", str(experiment.num_runs)), ("Tags", str(experiment.num_tags)), ("Scalars", str(experiment.num_scalars)), ("Tensor bytes", str(experiment.total_tensor_bytes)), ("Binary object bytes", str(experiment.total_blob_bytes)), ] for name, value in data: output.append( "\t%s %s" % ( name.ljust(self._NAME_COLUMN_WIDTH), value, ) ) return "\n".join(output) class JsonFormatter: """A formatter implementation: outputs experiment as JSON.""" _JSON_INDENT = 2 def __init__(self): super().__init__() def format_experiment(self, experiment, experiment_url): data = [ ("url", experiment_url), ("name", experiment.name), ("description", experiment.description), ("id", experiment.experiment_id), ("created", util.format_time_absolute(experiment.create_time)), ("updated", util.format_time_absolute(experiment.update_time)), ("runs", experiment.num_runs), ("tags", experiment.num_tags), ("scalars", experiment.num_scalars), ("tensor_bytes", experiment.total_tensor_bytes), ("binary_object_bytes", experiment.total_blob_bytes), ] return json.dumps( collections.OrderedDict(data), indent=self._JSON_INDENT, )