from ogn.parser.utils import FPM_TO_MS, HPM_TO_DEGS from ogn.parser.pattern import PATTERN_RECEIVER_BEACON, PATTERN_AIRCRAFT_BEACON from .base import BaseParser class OgnParser(BaseParser): def __init__(self): self.beacon_type = None self.aircraft_pattern = PATTERN_AIRCRAFT_BEACON self.receiver_pattern = PATTERN_RECEIVER_BEACON def parse(self, aprs_comment, aprs_type): if not aprs_comment: return {'beacon_type': 'aprs_receiver'} ab_data = self.parse_aircraft_beacon(aprs_comment) if ab_data: ab_data.update({'beacon_type': 'aprs_aircraft'}) return ab_data rb_data = self.parse_receiver_beacon(aprs_comment) if rb_data: rb_data.update({'beacon_type': 'aprs_receiver'}) return rb_data else: return {'user_comment': aprs_comment, 'beacon_type': 'aprs_receiver'} def parse_aircraft_beacon(self, aprs_comment): match = self.aircraft_pattern.match(aprs_comment) if match: result = {} if match.group('details'): result.update({ 'address_type': int(match.group('details'), 16) & 0b00000011, 'aircraft_type': (int(match.group('details'), 16) & 0b00111100) >> 2, 'no-tracking': (int(match.group('details'), 16) & 0b01000000) >> 6 == 1, 'stealth': (int(match.group('details'), 16) & 0b10000000) >> 7 == 1, 'address': match.group('address'), }) if match.group('climb_rate'): result['climb_rate'] = int(match.group('climb_rate')) * FPM_TO_MS if match.group('turn_rate'): result['turn_rate'] = float(match.group('turn_rate')) * HPM_TO_DEGS if match.group('flight_level'): result['flightlevel'] = float(match.group('flight_level')) if match.group('signal_quality'): result['signal_quality'] = float(match.group('signal_quality')) if match.group('errors'): result['error_count'] = int(match.group('errors')) if match.group('frequency_offset'): result['frequency_offset'] = float(match.group('frequency_offset')) if match.group('gps_quality'): result.update({ 'gps_quality': { 'horizontal': int(match.group('gps_quality_horizontal')), 'vertical': int(match.group('gps_quality_vertical')) } }) if match.group('flarm_software_version'): result['software_version'] = float(match.group('flarm_software_version')) if match.group('flarm_hardware_version'): result['hardware_version'] = int(match.group('flarm_hardware_version'), 16) if match.group('flarm_id'): result['real_address'] = match.group('flarm_id') if match.group('signal_power'): result['signal_power'] = float(match.group('signal_power')) if match.group('proximity'): result['proximity'] = [hear[4:] for hear in match.group('proximity').split(' ')] return result else: return None def parse_receiver_beacon(self, aprs_comment): match = self.receiver_pattern.match(aprs_comment) if match: result = { 'version': match.group('version'), 'platform': match.group('platform'), 'cpu_load': float(match.group('cpu_load')), 'free_ram': float(match.group('ram_free')), 'total_ram': float(match.group('ram_total')), 'ntp_error': float(match.group('ntp_offset')), 'rt_crystal_correction': float(match.group('ntp_correction')) } if match.group('voltage'): result['voltage'] = float(match.group('voltage')) if match.group('amperage'): result['amperage'] = float(match.group('amperage')) if match.group('cpu_temperature'): result['cpu_temp'] = float(match.group('cpu_temperature')) if match.group('visible_senders'): result['senders_visible'] = int(match.group('visible_senders')) if match.group('senders'): result['senders_total'] = int(match.group('senders')) if match.group('latency'): result['latency'] = float(match.group('latency')) if match.group('rf_correction_manual'): result['rec_crystal_correction'] = int(match.group('rf_correction_manual')) if match.group('rf_correction_automatic'): result['rec_crystal_correction_fine'] = float(match.group('rf_correction_automatic')) if match.group('signal_quality'): result['rec_input_noise'] = float(match.group('signal_quality')) if match.group('senders_signal_quality'): result['senders_signal'] = float(match.group('senders_signal_quality')) if match.group('senders_messages'): result['senders_messages'] = float(match.group('senders_messages')) if match.group('good_senders_signal_quality'): result['good_senders_signal'] = float(match.group('good_senders_signal_quality')) if match.group('good_senders'): result['good_senders'] = float(match.group('good_senders')) if match.group('good_and_bad_senders'): result['good_and_bad_senders'] = float(match.group('good_and_bad_senders')) return result else: return None