def main(args):
if not os.path.exists(args.server_stream):
Log.error("server_stream file not exist.")
return
Log.info("Start parsing iSmartAlarm diagnotics stream...")
isap = ISADiagnoticsStreamParser(args.server_stream)
unstructured_log = isap.get_unstructured_log()
sensor_log = isap.get_sensor_log()
with Elastic(index='unstructured_log',
doc_type='unstructured_log') as elastic:
datetime_log = []
for log in unstructured_log:
if 'data_type' in log.keys():
if log['data_type'] == 'datetime':
datetime_log.append(log)
elastic.upload(datetime_log, 'data')
with Elastic(index='sensor_log', doc_type='sensor_log') as elastic:
elastic.upload(sensor_log, 'datetime')
Log.info("Successfully upload server_stream data.")
del isap
def main(args):
"""Main method for parsing dairies."""
if not os.path.exists(args.database):
Log.error("iSmartAlarm.DB file not found.", trace_exc=False)
return
dp = DairyParser(args.database)
dp.parse()
del dp
def main(args):
"""Main method for parsing dairies."""
if not os.path.exists(args.database):
Log.error("persistenceDB file not found.", trace_exc=False)
return
wap = WinkActivityParser(args.database)
wap.parse()
del wap
def main(args):
"""Main method for parsing activities."""
if not os.path.exists(args.database):
Log.error("cift_amazon_alexa.db file not found.", trace_exc=False)
return
cdp = CIFTDatabaseParser(args.database, args.timezone)
cdp.parse()
del cdp
def main(args):
"""Main method for recovering video."""
# if frame_database file not found
if not os.path.exists(args.database):
Log.error("frame_database file not found.", trace_exc=False)
return
ve = VideoExtractor(args.database, args.output)
ve.extract(args.merge, args.frame, args.add_timeline)
del ve
