def signal_handler(self, signal, frame):
self.is_running = False
if self._analyze is None:
log.info('Interruption signal detected {}, exiting the '
'algorithm'.format(signal))
else:
log.info('Interruption signal detected {}, calling `analyze()` '
'before exiting the algorithm'.format(signal))
algo_folder = get_algo_folder(self.algo_namespace)
folder = join(algo_folder, 'daily_perf')
files = [f for f in listdir(folder) if isfile(join(folder, f))]
daily_perf_list = []
for item in files:
filename = join(folder, item)
with open(filename, 'rb') as handle:
daily_perf_list.append(pickle.load(handle))
stats = pd.DataFrame(daily_perf_list)
self.analyze(stats)
sys.exit(0)
def stats_to_algo_folder(stats, algo_namespace, recorded_cols=None):
"""
Saves the performance stats to the algo local folder.
Parameters
----------
stats: list[Object]
algo_namespace: str
recorded_cols: list[str]
Returns
-------
str
"""
bytes_to_write = get_csv_stats(stats, recorded_cols=recorded_cols)
timestr = time.strftime('%Y%m%d')
folder = get_algo_folder(algo_namespace)
filename = os.path.join(folder, '{}-{}.csv'.format(timestr, 'frames'))
with open(filename, 'wb') as handle:
handle.write(bytes_to_write)
return bytes_to_write
