new_record = {}
new_record['date'] = instrument_results_dict['date']
new_record['instrument'] = instrument
new_record['filetype'] = filetype
new_record['count'] = instrument_results_dict[instrument][filetype]['count']
new_record['size'] = instrument_results_dict[instrument][filetype]['size']
engine.execute(FilesystemInstrument.__table__.insert(), new_record)
session.commit()
# Add data to central_storage table
arealist = ['logs', 'outputs', 'test', 'preview_images', 'thumbnails', 'all']
for area in arealist:
new_record = {}
new_record['date'] = central_storage_dict['date']
new_record['area'] = area
new_record['size'] = central_storage_dict[area]['size']
new_record['used'] = central_storage_dict[area]['used']
new_record['available'] = central_storage_dict[area]['available']
engine.execute(CentralStore.__table__.insert(), new_record)
session.commit()
if __name__ == '__main__':
# Configure logging
module = os.path.basename(__file__).strip('.py')
start_time, log_file = initialize_instrument_monitor(module)
monitor_filesystem()
update_monitor_table(module, start_time, log_file)
'\tBias monitor skipped. {} new dark files for {}, {}.'
.format(len(new_files), instrument, aperture))
monitor_run = False
# Update the query history
new_entry = {
'instrument': instrument,
'aperture': aperture,
'start_time_mjd': self.query_start,
'end_time_mjd': self.query_end,
'entries_found': len(new_entries),
'files_found': len(new_files),
'run_monitor': monitor_run,
'entry_date': datetime.datetime.now()
}
self.query_table.__table__.insert().execute(new_entry)
logging.info('\tUpdated the query history table')
logging.info('Bias Monitor completed successfully.')
if __name__ == '__main__':
module = os.path.basename(__file__).strip('.py')
start_time, log_file = monitor_utils.initialize_instrument_monitor(module)
monitor = Bias()
monitor.run()
monitor_utils.update_monitor_table(module, start_time, log_file)
