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




  initial_frame_count = configuration.get('memory_frames', 1)
  initial_memory_dump = configuration.get('memory', 0)
  if initial_memory_dump:
    tracemalloc.start(initial_frame_count)

  startup_time = time.time()
  json_desc_dict = {}

  init_timing.append((time.time(), 3))
  flights = UnpickleObjectFromFile(
      PICKLE_FLIGHTS, True, max_days=MAX_INSIGHT_HORIZON_DAYS, heartbeat=True)
  # Clear the loaded flight of any cached data, identified by keys
  # with a specific suffix, since code fixes may change the values for
  # some of those cached elements
  init_timing.append((time.time(), 4))
  for flight in flights:
    for key in list(flight.keys()):
      if key.endswith(CACHED_ELEMENT_PREFIX):
        flight.pop(key)
  init_timing.append((time.time(), 5))






  screen_history = UnpickleObjectFromFile(PICKLE_SCREENS, True, max_days=2)

  # If we're displaying just a single insight message, we want it to be
  # something unique, to the extent possible; this dict holds a count of
  # the diff types of messages displayed so far
  insight_message_distribution = {}

  # bootstrap the flight insights distribution from a list of insights on each
  # flight (i.e.: flight['insight_types'] for a given flight might look like
  # [1, 2, 7, 9], or [], to indicate which insights were identified; this then
  # transforms that into {0: 25, 1: 18, ...} summing across all flights.
  missing_insights = []
  for flight in flights:
    if 'insight_types' not in flight:
      missing_insights.append('%s on %s' % (
          DisplayFlightNumber(flight), DisplayTime(flight, '%x %X')))
    distribution = flight.get('insight_types', [])
    for key in distribution:
      insight_message_distribution[key] = (




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




          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) for m in insight_messages]

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

        else:  # flight didn't meet display criteria
          flight['insight_types'] = []

        PickleObjectToFile(
            flight, PICKLE_FLIGHTS, True, timestamp=flight['now'])






      else:
        remote, servo = RefreshArduinos(
            remote, servo,
            to_remote_q, to_servo_q, to_main_q, shutdown,
            flights, json_desc_dict, configuration, screen_history)

    message_queue, next_message_time = ProcessArduinoCommmands(
        to_main_q, flights, configuration, message_queue, next_message_time)

    personal_message = PersonalMessage(
        configuration, message_queue, personal_message)

    if SIMULATION:
      if now:
        simulated_hour = EpochDisplayTime(now, '%Y-%m-%d %H:00%z')
      if simulated_hour != prev_simulated_hour:
        print(simulated_hour)
        prev_simulated_hour = simulated_hour

    histogram = ReadAndParseSettings(HISTOGRAM_CONFIG_FILE)




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

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




  initial_frame_count = configuration.get('memory_frames', 1)
  initial_memory_dump = configuration.get('memory', 0)
  if initial_memory_dump:
    tracemalloc.start(initial_frame_count)

  startup_time = time.time()
  json_desc_dict = {}

  init_timing.append((time.time(), 3))
  flights = UnpickleObjectFromFile(
      PICKLE_FLIGHTS, True, max_days=MAX_INSIGHT_HORIZON_DAYS, heartbeat=True)
  # Clear the loaded flight of any cached data, identified by keys
  # with a specific suffix, since code fixes may change the values for
  # some of those cached elements
  init_timing.append((time.time(), 4))
  for flight in flights:
    for key in list(flight.keys()):
      if key.endswith(CACHED_ELEMENT_PREFIX):
        flight.pop(key)
  init_timing.append((time.time(), 5))
  # We have no use for the memory-hogging persistent_path key of historical
  # flights, so let's remove all those keys and save a lot of memory
  for flight in flights:
    if 'persistent_path' in flight:
      del flight['persistent_path']

  screen_history = UnpickleObjectFromFile(PICKLE_SCREENS, True, max_days=2)

  # If we're displaying just a single insight message, we want it to be
  # something unique, to the extent possible; this dict holds a count of
  # the diff types of messages displayed so far
  insight_message_distribution = {}

  # bootstrap the flight insights distribution from a list of insights on each
  # flight (i.e.: flight['insight_types'] for a given flight might look like
  # [1, 2, 7, 9], or [], to indicate which insights were identified; this then
  # transforms that into {0: 25, 1: 18, ...} summing across all flights.
  missing_insights = []
  for flight in flights:
    if 'insight_types' not in flight:
      missing_insights.append('%s on %s' % (
          DisplayFlightNumber(flight), DisplayTime(flight, '%x %X')))
    distribution = flight.get('insight_types', [])
    for key in distribution:
      insight_message_distribution[key] = (




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




          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) for m in insight_messages]

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

        else:  # flight didn't meet display criteria
          flight['insight_types'] = []

        PickleObjectToFile(
            flight, PICKLE_FLIGHTS, True, timestamp=flight['now'])

        # now that we've saved the flight, we have no more need to keep the
        # memory-hogging persistent_path key of that flight in live memory
        if 'persistent_path' in flights[-1]:
          del flights[-1]['persistent_path']

      else:
        remote, servo = RefreshArduinos(
            remote, servo,
            to_remote_q, to_servo_q, to_main_q, shutdown,
            flights, json_desc_dict, configuration, screen_history)

    message_queue, next_message_time = ProcessArduinoCommmands(
        to_main_q, flights, configuration, message_queue, next_message_time)

    personal_message = PersonalMessage(
        configuration, message_queue, personal_message)

    if SIMULATION:
      if now:
        simulated_hour = EpochDisplayTime(now, '%Y-%m-%d %H:00%z')
      if simulated_hour != prev_simulated_hour:
        print(simulated_hour)
        prev_simulated_hour = simulated_hour

    histogram = ReadAndParseSettings(HISTOGRAM_CONFIG_FILE)




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