def wrapped():
logger.debug(flask.request.data)
param = json.loads(flask.request.data.decode())
if 'action' in param and param['action'] == 'test':
result = heartbeat_test(param, interface_name)
return json.dumps(result, ensure_ascii=False)
for key_param in key_params:
if key_param not in param:
result = param_error(param, interface_name)
return json.dumps(result, ensure_ascii=False)
log_event(param, '计算开始...', interface_name)
logger.debug(json.dumps(param, indent=2, ensure_ascii=False))
result = func(param)
log_event(param, '计算完成', interface_name)
return json.dumps(result, ensure_ascii=False, cls=CJsonEncoder)
# coding=utf-8
from dmp.algor.machine_learning import ML
from dutil.log import logger
ml = ML()
while True:
if ml.get_task():
logger.debug('begin machine learning')
ml.load_data()
ml.execute_modle_fit()
logger.debug('end machine learning')
def cloud_guizhou_report():
log.debug(flask.request.data)
param = json.loads(flask.request.data)
logger.debug(json.dumps(param, indent=2, ensure_ascii=False))
return generate_cloudgz_report(param['user_id'], param['model_id'])