_ce.py

####this file is only used for continuous evaluation test!
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
sys.path.append(os.environ['ceroot'])
from kpi import CostKpi, DurationKpi, AccKpi

#### NOTE kpi.py should shared in models in some way!!!!

train_acc1 = AccKpi('train_acc1', 0.01, 0, actived=True, desc="train acc1")
train_acc5 = AccKpi('train_acc5', 0.01, 0, actived=True, desc="train acc5")
train_loss = CostKpi('train_loss', 0.01, 0, actived=True, desc="train loss")
test_acc1 = AccKpi('test_acc1', 0.01, 0, actived=True, desc='test acc1')
test_acc5 = AccKpi('test_acc5', 0.01, 0, actived=True, desc='test acc5')
test_loss = CostKpi('test_loss', 0.01, 0, actived=True, desc='test loss')

tracking_kpis = [train_acc1, train_acc5, train_loss,
                 test_acc1, test_acc5, test_loss]

def parse_log(log):
    '''
    This method should be implemented by model developers.

    The suggestion:

    each line in the log should be key, value, for example:

    "
    train_cost\t1.0
    test_cost\t1.0
    train_cost\t1.0
    train_cost\t1.0
    train_acc\t1.2
    "
    '''
    for line in log.split('\n'):
        fs = line.strip().split('\t')
        print(fs)
        if len(fs) == 3 and fs[0] == 'kpis':
            print("-----%s" % fs)
            kpi_name = fs[1]
            kpi_value = float(fs[2])
            yield kpi_name, kpi_value


def log_to_ce(log):
    kpi_tracker = {}
    for kpi in tracking_kpis:
        kpi_tracker[kpi.name] = kpi

    for (kpi_name, kpi_value) in parse_log(log):
        print(kpi_name, kpi_value)
        kpi_tracker[kpi_name].add_record(kpi_value)
        kpi_tracker[kpi_name].persist()


if __name__ == '__main__':
    log = sys.stdin.read()
    print("*****")
    print(log)
    print("****")
    log_to_ce(log)