IJob.py 15.9 KB
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#MDANSE : Molecular Dynamics Analysis for Neutron Scattering Experiments
#------------------------------------------------------------------------------------------
#Copyright (C)
#2015- Eric C. Pellegrini Institut Laue-Langevin
#BP 156
#6, rue Jules Horowitz
#38042 Grenoble Cedex 9
#France
#pellegrini[at]ill.fr
#goret[at]ill.fr
#aoun[at]ill.fr
#
#This library is free software; you can redistribute it and/or
#modify it under the terms of the GNU Lesser General Public
#License as published by the Free Software Foundation; either
#version 2.1 of the License, or (at your option) any later version.
#
#This library is distributed in the hope that it will be useful,
#but WITHOUT ANY WARRANTY; without even the implied warranty of
#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
#Lesser General Public License for more details.
#
#You should have received a copy of the GNU Lesser General Public
#License along with this library; if not, write to the Free Software
#Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA

''' 
Created on Mar 30, 2015

@author: pellegrini
'''

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import abc
import glob
import os
import random
import stat
import string
import subprocess
import sys

from MDANSE import LOGGER, PLATFORM, REGISTRY
from MDANSE.Core.Error import Error
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from MDANSE.Framework.Configurable import Configurable
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from MDANSE.Framework.Jobs.JobStatus import JobStatus
from MDANSE.Framework.OutputVariables.IOutputVariable import OutputData
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class JobError(Error):
    pass

def key_generator(size=4, chars=None, prefix=""):
    
    if chars is None:
        chars = string.ascii_lowercase + string.digits
    
    key = ''.join(random.choice(chars) for _ in range(size))
    if prefix:
        key = "%s_%s" % (prefix,key)
    
    return key
        
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class IJob(Configurable):
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    """
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    This class handles a MDANSE job. In MDANSE any task modeled by a loop can be considered a MDANSE job. 
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    """
            
    __metaclass__ = REGISTRY
    
    type = "job"
    
    section = "job"
        
    @staticmethod
    def set_name():
        """
        Sets a name for the job that is not already in use by another running job.
        """
        
        prefix = '%d' % PLATFORM.pid()
    
        # The list of the registered jobs.
        registeredJobs = [os.path.basename(f) for f in glob.glob(os.path.join(PLATFORM.temporary_files_directory(),'*'))]
        
        while True:     
    
            # Followed by 4 random letters.
            name = key_generator(4, prefix=prefix)
            
            if not name in registeredJobs:
                break
                        
        return name
        
    def __init__(self, status=None):
        """
        The base class constructor.        
        """

        Configurable.__init__(self)
                
        self._outputData = OutputData()

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        self._name = IJob.set_name()
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        self._info = ""
                                        
        if status is not None:
            self._status = JobStatus(self)
        else:
            self._status = None
                                
    def build_documentation(self):
                
        doc = [self.__doc__]
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        for conf in self.settings.values():
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            if conf.__doc__ is None:
                doc.append("%s : %s\n" % (conf.type,'undocumented'))
            else:
                doc.append("%s : %s\n" % (conf.type,conf.__doc__))
                
        doc = '\n'.join(doc)
           
        return doc
    
    @classmethod
    def build_parallelization_test(cls, testFile, parameters=None):
        """
        Produce a file like object for a given job.\n
        :Parameters:
            #. parameters (dict): optional. If not None, the parameters with which the job file will be built.
        """
         
        # Try to open the output test file to see whether it is allowed.
        try:
            f = open(testFile, 'w')
        # Case where for whatever reason, the file could not be opened for writing. Return.        
        except IOError as e:
            raise JobError(["Error when saving python batch file.",e])
           
        # The first line contains the call to the python executable. This is necessary for the file to
        # be autostartable.
        f.write('#!%s\n\n' % sys.executable)

        f.write('import os\n')
        f.write('import unittest\n')
        f.write('import numpy\n')
        f.write('from Scientific.IO.NetCDF import NetCDFFile\n')
        f.write('from Tests.UnitTest import UnitTest\n')
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        f.write('from MDANSE import REGISTRY\n\n')
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        f.write('class Test%sParallel(UnitTest):\n\n' % cls.type.upper())
        f.write('    def setUp(self):\n')
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        f.write('        from MDANSE import LOGGER\n')
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        f.write('        LOGGER.stop()\n\n')
                    
        f.write('    def test(self):\n')      

        # Writes the line that will initialize the |parameters| dictionary.
        f.write('        parameters = {}\n')
        
        for k, v in sorted(parameters.items()):
            f.write('        parameters[%r] = %r\n' % (k, v))
                
        f.write('\n        job = REGISTRY[%r](%r)\n\n' % ('job',cls.type))

        f.write('        parameters["running_mode"] = ("monoprocessor",1)\n')
        f.write('        self.assertNotRaises(job.run,parameters,False)\n\n')

        f.write('        f = NetCDFFile(job.configuration["output_files"]["files"][0],"r")\n')
        f.write('        resMono = {}\n')
        f.write('        for k,v in f.variables.items():\n')
        f.write('            resMono[k] = v.getValue()\n')
        f.write('        f.close()\n\n')

        f.write('        parameters["running_mode"] = ("multiprocessor",2)\n')
        f.write('        self.assertNotRaises(job.run,parameters,False)\n\n')

        f.write('        f = NetCDFFile(job.configuration["output_files"]["files"][0],"r")\n')
        f.write('        resMulti = {}\n')
        f.write('        for k,v in f.variables.items():\n')
        f.write('            resMulti[k] = v.getValue()\n')
        f.write('        f.close()\n\n')

        f.write('        for k in resMono.keys():\n')
        f.write('            self.assertTrue(numpy.allclose(resMono[k],resMulti[k]))\n\n')
            
        f.write('def suite():\n')
        f.write('    loader = unittest.TestLoader()\n')
        f.write('    s = unittest.TestSuite()\n')
        f.write('    s.addTest(loader.loadTestsFromTestCase(Test%sParallel))\n' % cls.type.upper())
        f.write('    return s\n\n')
        f.write('if __name__ == "__main__":\n')
        f.write('    unittest.main(verbosity=2)\n')
        
        f.close()
        
        os.chmod(testFile,stat.S_IRWXU)

    @staticmethod
    def set_pyro_server():
    
        import Pyro.errors
        import Pyro.naming
    
        # Gets a Pyro proxy for the name server.
        locator = Pyro.naming.NameServerLocator()
    
        # Try to get an existing name server.        
        try:
            ns = locator.getNS()
            
        # Otherwise, start a new one.        
        except Pyro.errors.NamingError:
            
            subprocess.Popen([sys.executable, '-O', '-c', "import Pyro.naming; Pyro.naming.main([])"], stdout = subprocess.PIPE)
            ns = None
            while ns is None:
                try:
                    ns = locator.getNS()
                except Pyro.errors.NamingError:
                    pass
                            
    @property
    def name(self):
        return self._name

    @property
    def configuration(self):
        return self._configuration

    @abc.abstractmethod
    def finalize(self):        
        pass
        
    @abc.abstractmethod
    def initialize(self):        
        pass

    @abc.abstractmethod
    def run_step(self):
        pass
            
    @classmethod
    def save(cls, jobFile, parameters=None):
        """
        Save a job file for a given job.\n
        :Parameters:
            #. jobFile (str): The name of the output job file.\n
            #. parameters (dict): optional. If not None, the parameters with which the job file will be built.
        """
                         
        # Try to open the output job file to see whether it is allowed.
        try:
            f = open(jobFile, 'w')
        
        # Case where for whatever reason, the file could not be opened for writing. Return.        
        except IOError as e:
            raise JobError(["Error when saving python batch file.",e])
           
        # The first line contains the call to the python executable. This is necessary for the file to
        # be autostartable.
        f.write('#!%s\n\n' % sys.executable)
        
        # Writes the input file header.
        f.write('########################################################\n')
        f.write('# This is an automatically generated MDANSE run script #\n')
        f.write('#######################################################\n\n')
                                    
        # Write the import.
        f.write("from MDANSE import REGISTRY\n\n")
                        
        f.write('################################################################\n')
        f.write('# Job parameters                                               #\n')
        f.write('################################################################\n\n')

        # Writes the line that will initialize the |parameters| dictionary.
        f.write('parameters = {}\n')
        
        if parameters is None:
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            parameters = cls.get_default_parameters()
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        for k, v in sorted(parameters.items()):
            f.write('parameters[%r] = %r\n' % (k, v))

        f.write('\n')
        f.write('################################################################\n')
        f.write('# Setup and run the analysis                                   #\n')
        f.write('################################################################\n')
        f.write('\n')
    
        # Sets |analysis| variable to an instance analysis to save. 
        f.write('job = REGISTRY[%r][%r](status=False)\n' % ('job',cls.type))
        f.write('job.setup(parameters)\n')
        f.write('job.run()')
         
        f.close()
        
        os.chmod(jobFile,stat.S_IRWXU)
                
    @classmethod
    def build_test(cls, testFile, parameters=None):
        """
        Produce a file like object for a given job.\n
        :Parameters:
            #. parameters (dict): optional. If not None, the parameters with which the job file will be built.
        """
                
        # Try to open the output test file to see whether it is allowed.
        try:
            f = open(testFile, 'w')
        # Case where for whatever reason, the file could not be opened for writing. Return.        
        except IOError as e:
            raise JobError(["Error when saving python batch file.",e])
           
        # The first line contains the call to the python executable. This is necessary for the file to
        # be autostartable.
        f.write('#!%s\n\n' % sys.executable)

        f.write('import unittest\n')
        f.write('from Tests.UnitTest import UnitTest\n')
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        f.write('from MDANSE import REGISTRY\n\n')
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        f.write('class Test%s(UnitTest):\n\n' % cls.type.upper())
        f.write('    def setUp(self):\n')
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        f.write('        from MDANSE import LOGGER\n')
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        f.write('        LOGGER.stop()\n\n')
        
        f.write('    def test(self):\n')      

        # Writes the line that will initialize the |parameters| dictionary.
        f.write('        parameters = {}\n')
        
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        if parameters is None:
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            parameters = cls.get_default_parameters()
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        for k, v in sorted(parameters.items()):
            f.write('        parameters[%r] = %r\n' % (k, v))
    
        # Sets |analysis| variable to an instance analysis to save. 
        f.write('        job = REGISTRY[%r](%r)\n' % ('job',cls.type))
        f.write('        self.assertNotRaises(job.run, parameters,False)\n\n')
        
        f.write('def suite():\n')
        f.write('    loader = unittest.TestLoader()\n')
        f.write('    s = unittest.TestSuite()\n')
        f.write('    s.addTest(loader.loadTestsFromTestCase(Test%s))\n' % cls.type.upper())
        f.write('    return s\n\n')
        f.write("if __name__ == '__main__':\n")
        f.write('    unittest.main(verbosity=2)\n')
        
        f.close()
        
        os.chmod(testFile,stat.S_IRWXU)
        
    def _run_monoprocessor(self):

        if self._status is not None:
            self._status.start(self.numberOfSteps,rate=0.1)

        for index in range(self.numberOfSteps):
            idx, x = self.run_step(index)                            
            self.combine(idx, x)
            
            if self._status is not None:
                if self._status.is_stopped():
                    self._status.cleanup()
                    return
                else:
                    self._status.update()
        
    def _run_multiprocessor(self):

        import MDANSE.DistributedComputing.MasterSlave as MasterSlave

        script = os.path.abspath(os.path.join(PLATFORM.package_directory(),'DistributedComputing','Slave.py'))
                
        master = MasterSlave.initializeMasterProcess(self._name, slave_script=script, use_name_server=False)

        master.setGlobalState(job=self)
        master.launchSlaveJobs(n=self.configuration['running_mode']['slots'],port=master.pyro_daemon.port)

        if self._status is not None:
            self._status.start(self.numberOfSteps,rate=0.1)

        for index in range(self.numberOfSteps):
            master.requestTask('run_step',MasterSlave.GlobalStateValue(1,'job'),index)
        
        for index in range(self.numberOfSteps):
            _, _, (idx, x) = master.retrieveResult('run_step')
            self.combine(idx, x)

            if self._status is not None:
                if self._status.is_stopped():
                    self._status.cleanup()
                    return
                else:
                    self._status.update()
            
        master.shutdown()
        
    def _run_remote(self):

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        IJob.set_pyro_server()
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        import MDANSE.DistributedComputing.MasterSlave as MasterSlave

        tasks = MasterSlave.initializeMasterProcess(self._name, slave_module='MDANSE.DistributedComputing.Slave')
             
        tasks.setGlobalState(job=self)

        if self._status is not None:
            self._status.start(self.numberOfSteps,rate=0.1)
                
        for  index in range(self.numberOfSteps):
            tasks.requestTask('run_step',MasterSlave.GlobalStateValue(1,'job'),index)

        for index in range(self.numberOfSteps):
            _, _, (idx, x) = tasks.retrieveResult("run_step")
            self.combine(idx, x)

        if self._status is not None:
            if self._status.is_stopped():
                self._status.cleanup()
                return
            else:
                self._status.update()
            
    _runner = {"monoprocessor" : _run_monoprocessor, "multiprocessor" : _run_multiprocessor, "remote" : _run_remote}

    def run(self, parameters=None):
        """
        Run the job.
        """
        
        if parameters is not None:
            self.setup(parameters)
        
        self.initialize()

        self._info = 'Information about %s job.\n' % self._name
        self._info += str(self)
                                                  
        LOGGER(self._info)
                  
        if getattr(self,'numberOfSteps', 0) <= 0:
            raise JobError("Invalid number of steps for job %s" % self)

        try:
            mode = self.configuration['running_mode']['mode']
        except:
            raise JobError("Invalid running mode")
        else:                        
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            IJob._runner[mode](self)
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        self.finalize()

        if self._status is not None:
            self._status.finish()

    @property
    def info(self):
            
        return self._info