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15261527152815291530153115321533153415351536153715381539154015411542154315441545154615471548154915501551155215531554 15551556155715581559156015611562156315641565156615671568156915701571157215731574 | <----SKIPPED LINES----> are a sequential list of the location-attributes in the json file; allows for tracking the flight path over time. log_jsons: boolean indicating whether we should pickle the JSONs. flights: list of flight dictionaries; if no json is returned, used to find a recent flight with same flight number to augment this flight with origin / destination / airline. Returns: A tuple: - updated persistent_nearby_aircraft - (possibly empty) dictionary of flight attributes of the new flight upon its first observation. - the time of the radio observation if present; None if no radio dump - a dictionary of attributes about the dump itself (i.e.: # of flights; furthest observed flight, etc.) - persistent_path, a data structure containing past details of a flight's location as described in ParseDumpJson - a text message indicating any errors in querying FlightAware or populating flight details - timestamp indicating exact time at which FlightAware was queried (or attempted to be queried) """ flight_details = {} error_message = '' now = time.time() if SIMULATION: (dump_json, json_time) = DUMP_JSONS[SIMULATION_COUNTER] else: dump_json = ReadFile(DUMP_JSON_FILE, log_exception=True) json_desc_dict = {} current_nearby_aircraft = {} if dump_json: (current_nearby_aircraft, now, json_desc_dict, persistent_path) = ParseDumpJson( dump_json, persistent_path) if not SIMULATION and log_jsons: PickleObjectToFile((dump_json, now), PICKLE_DUMP_JSON_FILE, True) newly_nearby_flight_identifiers = UpdateAircraftList( persistent_nearby_aircraft, current_nearby_aircraft, now) if newly_nearby_flight_identifiers: if len(newly_nearby_flight_identifiers) > 1: # newly_nearby_flight_identifiers is a list of 2-tuples, where each # tuple is (flight_number, squawk) newly_nearby_flight_identifiers_str = ', '.join( <----SKIPPED LINES----> |
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152615271528152915301531153215331534153515361537153815391540154115421543154415451546154715481549155015511552155315541555155615571558155915601561156215631564156515661567156815691570157115721573157415751576 | <----SKIPPED LINES----> are a sequential list of the location-attributes in the json file; allows for tracking the flight path over time. log_jsons: boolean indicating whether we should pickle the JSONs. flights: list of flight dictionaries; if no json is returned, used to find a recent flight with same flight number to augment this flight with origin / destination / airline. Returns: A tuple: - updated persistent_nearby_aircraft - (possibly empty) dictionary of flight attributes of the new flight upon its first observation. - the time of the radio observation if present; None if no radio dump - a dictionary of attributes about the dump itself (i.e.: # of flights; furthest observed flight, etc.) - persistent_path, a data structure containing past details of a flight's location as described in ParseDumpJson - a text message indicating any errors in querying FlightAware or populating flight details - timestamp indicating exact time at which FlightAware was queried (or attempted to be queried), if a query was made in this pass """ flight_details = {} error_message = '' now = time.time() if SIMULATION: (dump_json, json_time) = DUMP_JSONS[SIMULATION_COUNTER] else: dump_json = ReadFile(DUMP_JSON_FILE, log_exception=True) # Often there is no flight aware query, so we need to give a default value flight_aware_timestamp = 0 json_desc_dict = {} current_nearby_aircraft = {} if dump_json: (current_nearby_aircraft, now, json_desc_dict, persistent_path) = ParseDumpJson( dump_json, persistent_path) if not SIMULATION and log_jsons: PickleObjectToFile((dump_json, now), PICKLE_DUMP_JSON_FILE, True) newly_nearby_flight_identifiers = UpdateAircraftList( persistent_nearby_aircraft, current_nearby_aircraft, now) if newly_nearby_flight_identifiers: if len(newly_nearby_flight_identifiers) > 1: # newly_nearby_flight_identifiers is a list of 2-tuples, where each # tuple is (flight_number, squawk) newly_nearby_flight_identifiers_str = ', '.join( <----SKIPPED LINES----> |