Retrieves and processes the tool data for a run and a host.

    Args:
      request: XMLHttpRequest

    Returns:
      A string that can be served to the frontend tool or None if tool,
        run or host is invalid.

def data_impl(self, request):
    """Retrieves and processes the tool data for a run and a host.

    Args:
      request: XMLHttpRequest

    Returns:
      A string that can be served to the frontend tool or None if tool,
        run or host is invalid.
    """
    run = request.args.get('run')
    tool = request.args.get('tag')
    host = request.args.get('host')
    run_dir = self._run_dir(run)
    # Profile plugin "run" is the last component of run dir.
    profile_run = os.path.basename(run_dir)

    if tool not in TOOLS:
      return None

    self.start_grpc_stub_if_necessary()
    if tool == 'trace_viewer@' and self.stub is not None:
      from tensorflow.contrib.tpu.profiler import tpu_profiler_analysis_pb2
      grpc_request = tpu_profiler_analysis_pb2.ProfileSessionDataRequest()
      grpc_request.repository_root = run_dir
      grpc_request.session_id = profile_run[:-1]
      grpc_request.tool_name = 'trace_viewer'
      # Remove the trailing dot if present
      grpc_request.host_name = host.rstrip('.')

      grpc_request.parameters['resolution'] = request.args.get('resolution')
      if request.args.get('start_time_ms') is not None:
        grpc_request.parameters['start_time_ms'] = request.args.get(
            'start_time_ms')
      if request.args.get('end_time_ms') is not None:
        grpc_request.parameters['end_time_ms'] = request.args.get('end_time_ms')
      grpc_response = self.stub.GetSessionToolData(grpc_request)
      return grpc_response.output

    if tool not in TOOLS:
      return None
    tool_name = str(host) + TOOLS[tool]
    asset_path = os.path.join(run_dir, tool_name)
    raw_data = None
    try:
      with tf.io.gfile.GFile(asset_path, 'rb') as f:
        raw_data = f.read()
    except tf.errors.NotFoundError:
      logger.warn('Asset path %s not found', asset_path)
    except tf.errors.OpError as e:
      logger.warn("Couldn't read asset path: %s, OpError %s", asset_path, e)

    if raw_data is None:
      return None
    if tool == 'trace_viewer':
      return process_raw_trace(raw_data)
    if tool in _RAW_DATA_TOOLS:
      return raw_data
    return None