99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
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import logging, subprocess
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import threading, random
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class Properties(object):
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GAMMA = 0.0
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CUSHION = 0
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SENSITIVITY = 0.0
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MAX_WINDOW_SIZE = 0
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ENSEMBLE_SIZE = 0
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CONFTHRESHOLD = 0.0
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CONFCUTOFF = 0.0
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INITIAL_DATA_SIZE = 0
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MAXVAR = 0
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IDENTIFIER = ''
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OUTFILENAME = ''
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TEMPDIR = ''
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LOGFILE = ''
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BASEDIR = ''
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SRCAPPEND = ''
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TRGAPPEND = ''
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PY4JPORT = 25333
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logger = None
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def __init__(self, propfilename, datasetName):
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dict = {}
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with open(propfilename) as f:
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for line in f:
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(key,val) = line.split('=')
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dict[key.strip()] = val.strip()
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self.__class__.GAMMA = float(dict['gamma'])
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self.__class__.CUSHION = int(dict['cushion'])
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self.__class__.SENSITIVITY = float(dict['sensitivity'])
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self.__class__.MAX_WINDOW_SIZE = int(dict['maxWindowSize'])
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self.__class__.ENSEMBLE_SIZE = int(dict['ensemble_size'])
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self.__class__.CONFTHRESHOLD = float(dict['confthreshold'])
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self.__class__.CONFCUTOFF = float(dict['confcutoff'])
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self.__class__.INITIAL_DATA_SIZE = int(dict['initialDataSize'])
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self.__class__.IDENTIFIER = datasetName + '_' + str(self.__class__.MAX_WINDOW_SIZE)
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self.__class__.OUTFILENAME = self.__class__.IDENTIFIER + '_' + dict['output_file_name']
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self.__class__.TEMPDIR = dict['tempDir']
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self.__class__.LOGFILE = self.__class__.IDENTIFIER + '_' + dict['logfile']
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if self.__class__.logger: self.__class__.logger = None
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self.__class__.logger = self.__setupLogger()
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self.__class__.MAXVAR = 0
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self.__class__.BASEDIR = dict['baseDir']
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self.__class__.SRCAPPEND = dict['srcfileAppend']
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self.__class__.TRGAPPEND = dict['trgfileAppend']
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self.__class__.PY4JPORT = random.randint(25333, 30000)
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t = threading.Thread(target=self.__startCPDJava)
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t.daemon = True
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t.start()
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def __startCPDJava(self):
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subprocess.call(['java', '-jar', 'change_point.jar', str(self.__class__.GAMMA), str(self.__class__.SENSITIVITY), str(self.__class__.MAX_WINDOW_SIZE), str(self.__class__.CUSHION), str(self.__class__.CONFCUTOFF), str(self.__class__.PY4JPORT)])
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def __setupLogger(self):
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.INFO)
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sh = logging.StreamHandler()
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sh.setLevel(logging.INFO)
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logger.addHandler(sh)
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handler = logging.FileHandler(self.__class__.LOGFILE)
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handler.setLevel(logging.INFO)
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formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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handler.setFormatter(formatter)
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logger.addHandler(handler)
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return logger
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def summary(self):
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line = 'Parameter values are as follows:'
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line += '\nGamma = ' + str(self.GAMMA)
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line += '\nSensitivity = ' + str(self.SENSITIVITY)
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line += '\nEnsemble Size = ' + str(self.ENSEMBLE_SIZE)
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line += '\nConfidence Threshold (NOT USED) = ' + str(self.CONFTHRESHOLD)
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line += '\nConfidence Cutoff = ' + str(self.CONFCUTOFF)
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line += '\nMax Window Size = ' + str(self.MAX_WINDOW_SIZE)
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line += '\nInitial Training Size = ' + str(self.INITIAL_DATA_SIZE)
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line += '\nMaximum Num Variables = ' + str(self.MAXVAR)
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line += '\nOutput File = ' + str(self.OUTFILENAME)
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return line
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