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'''
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Base clases to create Processing units and operations, the MPDecorator
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must be used in plotting and writing operations to allow to run as an
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external process.
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'''
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import inspect
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import zmq
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import time
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import pickle
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import traceback
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from threading import Thread
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from multiprocessing import Process, Queue
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from schainpy.utils import log
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class ProcessingUnit(object):
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'''
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Base class to create Signal Chain Units
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'''
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proc_type = 'processing'
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def __init__(self):
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self.dataIn = None
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self.dataOut = None
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self.isConfig = False
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self.operations = []
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def setInput(self, unit):
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self.dataIn = unit.dataOut
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def getAllowedArgs(self):
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if hasattr(self, '__attrs__'):
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return self.__attrs__
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else:
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return inspect.getargspec(self.run).args
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def addOperation(self, conf, operation):
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'''
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'''
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self.operations.append((operation, conf.type, conf.getKwargs()))
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def getOperationObj(self, objId):
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if objId not in list(self.operations.keys()):
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return None
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return self.operations[objId]
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def call(self, **kwargs):
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'''
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'''
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try:
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if self.dataIn is not None and self.dataIn.flagNoData and not self.dataIn.error:
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return self.dataIn.isReady()
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elif self.dataIn is None or not self.dataIn.error:
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self.run(**kwargs)
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elif self.dataIn.error:
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self.dataOut.error = self.dataIn.error
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self.dataOut.flagNoData = True
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except:
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err = traceback.format_exc()
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if 'SchainWarning' in err:
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log.warning(err.split('SchainWarning:')[-1].split('\n')[0].strip(), self.name)
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elif 'SchainError' in err:
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log.error(err.split('SchainError:')[-1].split('\n')[0].strip(), self.name)
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else:
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log.error(err, self.name)
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self.dataOut.error = True
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for op, optype, opkwargs in self.operations:
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if optype == 'other' and not self.dataOut.flagNoData:
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self.dataOut = op.run(self.dataOut, **opkwargs)
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elif optype == 'external' and not self.dataOut.flagNoData:
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op.queue.put(self.dataOut)
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elif optype == 'external' and self.dataOut.error:
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op.queue.put(self.dataOut)
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return 'Error' if self.dataOut.error else self.dataOut.isReady()
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def setup(self):
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raise NotImplementedError
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def run(self):
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raise NotImplementedError
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def close(self):
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return
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class Operation(object):
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'''
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'''
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proc_type = 'operation'
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def __init__(self):
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self.id = None
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self.isConfig = False
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if not hasattr(self, 'name'):
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self.name = self.__class__.__name__
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def getAllowedArgs(self):
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if hasattr(self, '__attrs__'):
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return self.__attrs__
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else:
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return inspect.getargspec(self.run).args
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def setup(self):
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self.isConfig = True
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raise NotImplementedError
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def run(self, dataIn, **kwargs):
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"""
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Realiza las operaciones necesarias sobre la dataIn.data y actualiza los
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atributos del objeto dataIn.
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Input:
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dataIn : objeto del tipo JROData
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Return:
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None
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Affected:
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__buffer : buffer de recepcion de datos.
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"""
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if not self.isConfig:
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self.setup(**kwargs)
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raise NotImplementedError
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def close(self):
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return
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def MPDecorator(BaseClass):
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"""
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Multiprocessing class decorator
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This function add multiprocessing features to a BaseClass.
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"""
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class MPClass(BaseClass, Process):
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def __init__(self, *args, **kwargs):
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super(MPClass, self).__init__()
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Process.__init__(self)
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self.args = args
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self.kwargs = kwargs
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self.t = time.time()
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self.op_type = 'external'
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self.name = BaseClass.__name__
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self.__doc__ = BaseClass.__doc__
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if 'plot' in self.name.lower() and not self.name.endswith('_'):
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self.name = '{}{}'.format(self.CODE.upper(), 'Plot')
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self.start_time = time.time()
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self.err_queue = args[3]
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self.queue = Queue(maxsize=1)
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self.myrun = BaseClass.run
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def run(self):
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while True:
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dataOut = self.queue.get()
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if not dataOut.error:
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try:
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BaseClass.run(self, dataOut, **self.kwargs)
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except:
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err = traceback.format_exc()
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log.error(err, self.name)
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else:
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break
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self.close()
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def close(self):
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BaseClass.close(self)
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log.success('Done...(Time:{:4.2f} secs)'.format(time.time()-self.start_time), self.name)
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return MPClass
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