<----SKIPPED LINES---->




        flight_aware_timestamp = time.time()  # "real" timestamp unavailable
      elif flight_identifier[0]:
        flight_number = flight_identifier[0]
        flight_aware_json, error_message, flight_aware_timestamp = (
            GetFlightAwareJson(flight_number))
        if flight_aware_json:
          UpdateStatusLight(GPIO_ERROR_FLIGHT_AWARE_CONNECTION, False)
        else:
          failure_message = 'No json from Flightaware for flight %s: %s' % (
              flight_number, error_message[:500])
          Log(failure_message)
          UpdateStatusLight(
              GPIO_ERROR_FLIGHT_AWARE_CONNECTION, True, failure_message)

      flight_details = {}
      if flight_aware_json:
        flight_details = ParseFlightAwareJson(flight_aware_json)
      elif flight_identifier[0]:  # if there's a flight number but no json
        flight_details, derived_attr_msg = FindAttributesFromSimilarFlights(
            flight_identifier[0], flights)
        error_message += derived_attr_msg

      if not SIMULATION and log_jsons:
        PickleObjectToFile((flight_aware_json, now), PICKLE_FA_JSON_FILE, True)

      # Augment FlightAware details with radio / radio-derived details
      flight_details.update(current_nearby_aircraft[flight_identifier])

      # Augment with the past location data; the [1] is because recall that
      # persistent_path[key] is actually a 2-tuple, the first element being
      # the most recent time seen, and the second element being the actual
      # path. But we do not need to keep around the most recent time seen any
      # more.
      flight_details['persistent_path'] = persistent_path[flight_identifier][1]

  return (
      persistent_nearby_aircraft,
      flight_details,
      now,
      json_desc_dict,
      persistent_path,




                            <----SKIPPED LINES---->





        # Initialize variables for saving in case details not populated by
        # later code prior to saving in pickle
        time_flight_message_inserted = 0
        time_insight_message_inserted = 0

        if flight_meets_display_criteria:
          personal_message = None  # Any personal message displayed now cleared
          flight_message = (
              FLAG_MSG_FLIGHT, CreateMessageAboutFlight(flight), flight)

          # display the next message about this flight now!
          next_message_time = time.time()
          message_queue.insert(0, flight_message)
          time_flight_message_inserted = time.time()
          # and delete any queued insight messages about other flights that have
          # not yet displayed, since a newer flight has taken precedence
          message_queue = DeleteMessageTypes(message_queue, (FLAG_MSG_INSIGHT,))

          # Though we also manage the message queue outside this conditional
          # as well, because it can take a half second to generate the flight
          # insights, this allows this message to start displaying on the
          # board immediately, so it's up there when it's most relevant
          next_message_time = ManageMessageQueue(
              message_queue, next_message_time, configuration, screen_history)

          insight_messages = CreateFlightInsights(
              flights,
              configuration.get('insights'),
              insight_message_distribution)
          if configuration.get('next_flight', 'off') == 'on':
            next_flight_text = FlightInsightNextFlight(flights, configuration)
            if next_flight_text:
              insight_messages.insert(0, next_flight_text)

          insight_messages = [
              (FLAG_MSG_INSIGHT, m, flight) for m in insight_messages]

          time_insight_message_inserted = time.time()
          for insight_message in insight_messages:
            message_queue.insert(0, insight_message)




                            <----SKIPPED LINES---->

                            <----SKIPPED LINES---->




        flight_aware_timestamp = time.time()  # "real" timestamp unavailable
      elif flight_identifier[0]:
        flight_number = flight_identifier[0]
        flight_aware_json, error_message, flight_aware_timestamp = (
            GetFlightAwareJson(flight_number))
        if flight_aware_json:
          UpdateStatusLight(GPIO_ERROR_FLIGHT_AWARE_CONNECTION, False)
        else:
          failure_message = 'No json from Flightaware for flight %s: %s' % (
              flight_number, error_message[:500])
          Log(failure_message)
          UpdateStatusLight(
              GPIO_ERROR_FLIGHT_AWARE_CONNECTION, True, failure_message)

      flight_details = {}
      if flight_aware_json:
        flight_details = ParseFlightAwareJson(flight_aware_json)
      elif flight_identifier[0]:  # if there's a flight number but no json
        flight_details, derived_attr_msg = FindAttributesFromSimilarFlights(
            flight_identifier[0], flights)
        error_message = '%s; %s' % (error_message, derived_attr_msg)

      if not SIMULATION and log_jsons:
        PickleObjectToFile((flight_aware_json, now), PICKLE_FA_JSON_FILE, True)

      # Augment FlightAware details with radio / radio-derived details
      flight_details.update(current_nearby_aircraft[flight_identifier])

      # Augment with the past location data; the [1] is because recall that
      # persistent_path[key] is actually a 2-tuple, the first element being
      # the most recent time seen, and the second element being the actual
      # path. But we do not need to keep around the most recent time seen any
      # more.
      flight_details['persistent_path'] = persistent_path[flight_identifier][1]

  return (
      persistent_nearby_aircraft,
      flight_details,
      now,
      json_desc_dict,
      persistent_path,




                            <----SKIPPED LINES---->





        # Initialize variables for saving in case details not populated by
        # later code prior to saving in pickle
        time_flight_message_inserted = 0
        time_insight_message_inserted = 0

        if flight_meets_display_criteria:
          personal_message = None  # Any personal message displayed now cleared
          flight_message = (
              FLAG_MSG_FLIGHT, CreateMessageAboutFlight(flight), flight)

          # display the next message about this flight now!
          next_message_time = time.time()
          message_queue.insert(0, flight_message)
          time_flight_message_inserted = time.time()
          # and delete any queued insight messages about other flights that have
          # not yet displayed, since a newer flight has taken precedence
          message_queue = DeleteMessageTypes(message_queue, (FLAG_MSG_INSIGHT,))

          # Though we also manage the message queue outside this conditional
          # as well, because it can take a few seconds to generate the flight
          # insights, this allows this message to start displaying on the
          # board immediately, so it's up there when it's most relevant
          next_message_time = ManageMessageQueue(
              message_queue, next_message_time, configuration, screen_history)

          insight_messages = CreateFlightInsights(
              flights,
              configuration.get('insights'),
              insight_message_distribution)
          if configuration.get('next_flight', 'off') == 'on':
            next_flight_text = FlightInsightNextFlight(flights, configuration)
            if next_flight_text:
              insight_messages.insert(0, next_flight_text)

          insight_messages = [
              (FLAG_MSG_INSIGHT, m, flight) for m in insight_messages]

          time_insight_message_inserted = time.time()
          for insight_message in insight_messages:
            message_queue.insert(0, insight_message)




                            <----SKIPPED LINES---->