# 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.
# ==============================================================================
"""For conversion of diagnostics protos to GViz DataTables.

Usage:
    gviz_data_tables = generate_diagnostics_tables(diag)
"""

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

import gviz_api


def generate_diagnostics_table(diag):
  """Creates a diagnostics table from Diagnostics proto.

  Args:
    diag: An diagnostics_pb2.Diagnostics.

  Returns:
    Returns a gviz_api.DataTable
  """
  table_description = [("severity", "string", "severity"),
                       ("message", "string", "message")]
  data = []
  for info in diag.info:
    data.append(["INFO", info])
  for warning in diag.warnings:
    data.append(["WARNING", warning])
  for error in diag.errors:
    data.append(["ERROR", error])

  return gviz_api.DataTable(table_description, data)
