def dataflow_remote_run(sensor_id):
try:
f = open("/opt/foxconn/mock_data/data.json", "r", encoding="utf-8")
full_data = json.loads(f.read())
data = full_data[:2048]
created = int(time.time()*1000)
model = model_util()
print(json.dumps(model.call_model_test(sensor_id, data, created)))
except:
sys.stderr.write("error")
def __init__(self):
common_config = cf.get_common_config()
self.breakdown_type_config = cf.get_breakdown_type()
self.breakdown_type = {}
self.file_load = FileLoad()
self.model = model_util()
self.offline_config = cf.get_offline_config()
# 标签的个数
self.label_num = 3
# 单个样本的个数
self.spot_num = 2048
# 样本数
self.sample_num = 500
self.count_times = common_config['db']['schedule']['count_iter_times']
self.fetch_size = common_config['db']['schedule']['fetch_size']
self.count_number = common_config['db']['schedule']['count_number']
self.get_breakdown_type()
self.by_count_job = schedule.every(self.count_times).seconds.do(
self.schedule_by_count) # minutes
def __init__(self):
self.model = model_util()
self.producer = KafkaProducerService()
self.consumer = KafkaConsumerService()
self.result_dir = {}
self.data_dir = {}