# Copyright 2017 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.
# ==============================================================================
"""Internal information about the audio plugin."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf
from tensorboard.plugins.audio import plugin_data_pb2


PLUGIN_NAME = 'audio'

# The most recent value for the `version` field of the `AudioPluginData`
# proto.
PROTO_VERSION = 0

# Expose the `Encoding` enum constants.
Encoding = plugin_data_pb2.AudioPluginData.Encoding


def create_summary_metadata(display_name, description, encoding):
  """Create a `tf.SummaryMetadata` proto for audio plugin data.

  Returns:
    A `tf.SummaryMetadata` protobuf object.
  """
  content = plugin_data_pb2.AudioPluginData(
      version=PROTO_VERSION, encoding=encoding)
  metadata = tf.SummaryMetadata(
      display_name=display_name,
      summary_description=description,
      plugin_data=tf.SummaryMetadata.PluginData(
          plugin_name=PLUGIN_NAME,
          content=content.SerializeToString()))
  return metadata


def parse_plugin_metadata(content):
  """Parse summary metadata to a Python object.

  Arguments:
    content: The `content` field of a `SummaryMetadata` proto
      corresponding to the audio plugin.

  Returns:
    An `AudioPluginData` protobuf object.
  """
  result = plugin_data_pb2.AudioPluginData()
  # TODO(@jart): Instead of converting to bytes, assert that the input
  # is a bytestring, and raise a ValueError otherwise...but only after
  # converting `PluginData`'s `content` field to have type `bytes`
  # instead of `string`.
  result.ParseFromString(tf.compat.as_bytes(content))
  if result.version == 0:
    return result
  else:
    tf.logging.warn(
        'Unknown metadata version: %s. The latest version known to '
        'this build of TensorBoard is %s; perhaps a newer build is '
        'available?', result.version, PROTO_VERSION)
    return result