import tensorflow
import os
#from __future__ import print_function

class Status():
    def __init__(self, name):
        self.name = name
        print("%s module loaded." %(name))

    def message(self, code, process=None):
        if code == 0:
            print("Completed process %s (%s) successfully." %(process, self.name))

        elif code == 1:
            print("Entering process %s (%s) ..." %(process, self.name))

        elif code == 2:
            print("Error in %s." %(process))

        elif code == 3:
            print("Training status: Complete. Model ready for testing. \n Successfully trained a DNN of shape %s" %(process))

        elif code == 4:
            accuracy = '\nTest set accuracy: {accuracy:0.3f}\n'.format(**process)
            print("Testing status: Complete. Model ready to make predictions.\n %s" %(accuracy))

        elif code == 7:
            print("Network data structure populated with latest data in SQLite DB. Safe to run NNManager.")

        elif code == 8:
            print("The Django server is not running on port 80. Please start it using sudo ./deploy.sh &, then try again.")

        elif code == 9:
            print("Django server is live.")