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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _GetTimelineStatEntriesRelDB(api_client_id, file_path, with_history=True):
 """Gets timeline entries from REL_DB."""

  path_type, components = rdf_objects.ParseCategorizedPath(file_path)

  client_id = str(api_client_id)

  try:
    root_path_info = data_store.REL_DB.ReadPathInfo(client_id, path_type,
                                                    components)
  except db.UnknownPathError:
    return

  path_infos = []
  for path_info in itertools.chain(
      [root_path_info],
      data_store.REL_DB.ListDescendentPathInfos(client_id, path_type,
                                                components),
  ):
    # TODO(user): this is to keep the compatibility with current
    # AFF4 implementation. Check if this check is needed.
    if path_info.directory:
      continue

    categorized_path = rdf_objects.ToCategorizedPath(path_info.path_type,
                                                     path_info.components)
    if with_history:
      path_infos.append(path_info)
    else:
      yield categorized_path, path_info.stat_entry, path_info.hash_entry

  if with_history:
    hist_path_infos = data_store.REL_DB.ReadPathInfosHistories(
        client_id, path_type, [tuple(pi.components) for pi in path_infos])
    for path_info in itertools.chain(*hist_path_infos.itervalues()):
      categorized_path = rdf_objects.ToCategorizedPath(path_info.path_type,
                                                       path_info.components)
      yield categorized_path, path_info.stat_entry, path_info.hash_entry