ATLAS Offline Software
Hto4lConfig.py
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1 # Copyright (C) 2002-2022 CERN for the benefit of the ATLAS collaboration
2 
3 import os, subprocess, time
4 from DecoratorFactory import decorate
5 from AthenaCommon import Logging
6 from PowhegControl.utility import HeartbeatTimer, RepeatingTimer
7 import collections
8 
9 
13 
14  __run_directory = os.environ['PWD']
15 
16  # for local copy of Hto4l use:
17  # __hto4l_directory = os.environ['TestArea']
18  # For the lcg version of Hto4l use:
19  # __hto4l_directory = os.environ['HTO4LPATH']
20 
21 
22 
23  __logger = Logging.logging.getLogger('Hto4lControl')
24 
25 
31 
32  # define Hto4l executable
33  _hto4l_executable = 'Hto4l'
34 
35  def __init__( self, runArgs=None, opts=None ) :
36 
37 
38  self.__output_events_file_name = 'Hto4lOTF._1.events'
39 
40 
42  # self.__configurable_parameters = {}
43  self.__configurable_parameters = collections.OrderedDict()
45 
46 
47  self.add_parameter_set( 'fromDefault' )
48 
49 
50  if runArgs is None :
51  self.logger.warning( 'No run arguments found! Using defaults.' )
52  else :
53  # Read values from runArgs
54  if hasattr(runArgs,'maxEvents') and runArgs.maxEvents > 0 :
55  self.nEvents = int( runArgs.maxEvents + 0.5 ) # should be overwritten in the jobOpt - depends on 4e/4mu/2e2mu mode
56  if hasattr(runArgs,'randomSeed') :
57  self.random_seed = runArgs.randomSeed
58  pass
59  pass
60 
61 
62  def generate( self, filter_name='', filter_args='' ) :
63  self.generateRunCard()
64  self.generateEvents()
65 
66 
67  def generateRunCard(self) :
68 
69 
70  for run_card_decorator in self.run_card_decorators :
71  if hasattr( run_card_decorator, 'finalise' ) : run_card_decorator.finalise()
72 
73 
74  self.logger.info( '** User configurable parameters for this process **' )
75  self.logger.info( ': Configurable parameter : Current value : Description' )
76  # for value_tuple in sorted( self.configurable_parameters.values(), key=lambda x: x[0].lower() ) :
77  # self.logger.info( ': {0:<22} : {1:>17} : {2}'.format( value_tuple[0], getattr(self, value_tuple[0]), value_tuple[1] ) )
78  for value_tuple in self.configurable_parameters.values() :
79  self.logger.info( ': {0:<22} : {1:>17} : {2}'.format( value_tuple[0], getattr(self, value_tuple[0]), value_tuple[1] ) )
80 
81 
82  [ self.fix_parameter( parameter=value_tuple[0], desc=value_tuple[1] ) for value_tuple in self.configurable_parameters.values() ]
83 
84 
85  self.logger.info( 'Writing Hto4l runcard to {0}'.format( self.run_card_path ) )
86  with open( self.run_card_path, 'w' ) as f :
87  # for parameter_tuple in sorted( self.fixed_parameters, key=lambda x: x[0].lower() ) :
88  for parameter_tuple in self.fixed_parameters :
89  name, value, desc = parameter_tuple
90  # Set starting value to first in list when multiple values are provided
91  if isinstance(value,list) :
92  value = value[0]
94  # output_line = '{0:<30}! {1}'.format( '{0}={1}'.format( name, value ), desc )
95  output_line = '{0:<30}! {1}'.format( '{0}'.format( value ), desc )
96  f.write( '{0}\n'.format(output_line) )
97  self.logger.info( 'Wrote {0}'.format( output_line ) )
98 
99 
100  self.logger.info( 'Using executable: {0}'.format( self._hto4l_executable ) )
101 
102 
103 
104  def generateEvents(self) :
105 
106  time_start = time.time()
107  self.logger.info( 'Starting Hto4l LHEF event generation at {0}'.format( time.ctime( time_start ) ) )
108  self.logger.info( 'Number of events: {0}.'.format( self.nEvents ) )
109 
110  # Setup heartbeat thread
111  heartbeat = HeartbeatTimer(600., "{}/eventLoopHeartBeat.txt".format(self.__run_directory))
112  heartbeat.setName("heartbeat thread")
113  heartbeat.daemon = True # Allow program to exit if this is the only live thread
114  heartbeat.start()
115 
116 
117 
118  self.running_process = []
119 
120  self.runHto4l()
121 
122 
123  heartbeat.cancel()
124 
125 
126  generation_end = time.time()
127  elapsed_time = generation_end - time_start
128  self.logger.info( 'Running nominal Hto4l took {0} for {1} events => {2:6.3f} Hz'.format( HeartbeatTimer.readable_duration(elapsed_time), self.nEvents, self.nEvents / elapsed_time ) )
129 
130  # self.logger.info( 'Removing Hto4l born LHE file' )
131  # try :
132  # os.remove( 'plot_unweighted_born.lhe' )
133  # except OSError :
134  # pass
135 
136  # ## Move output to correctly named file
137  # try :
138  # os.rename( 'plot_unweighted.lhe', self.output_events_file_name )
139  # self.logger.info( 'Moved plot_unweighted.lhe to {0}'.format(self.output_events_file_name) )
140  # except OSError :
141  # self.logger.warning( 'No output LHEF file found! Probably because the Hto4l process was killed before finishing.' )
142 
143 
144  self.logger.info( 'Finished at {0}'.format( time.asctime() ) )
145  return
146 
147 
148 
149  def add_parameter( self, configurable_name, value, desc='', parameter=None ) :
150  setattr( self, configurable_name, value ) # add new attribute
151  hto4l_parameter = parameter if parameter is not None else configurable_name
152  self.configurable_parameters[hto4l_parameter] = ( configurable_name, desc )
153 
154 
155 
156  def add_parameter_set( self, parameter_set, **kwargs ) :
157  return decorate( self, parameter_set, **kwargs )
158 
159 
160 
161  def emit_heartbeat(self, duration) :
162  message = 'Heartbeat: Hto4l generation has been running for {0} in total'.format( RepeatingTimer.human_readable_time_interval(duration) )
163  self.logger.info( message )
164  with open( '{0}/eventLoopHeartBeat.txt'.format( self.__run_directory ), 'w' ) as f : f.write( message )
165 
166 
167 
168  def fix_parameter( self, parameter, value=None, desc='' ) :
169  # Get previously set value if not overwriting
170  if value is None : value = getattr( self, parameter )
171  # Remove it from the configurable list if it was there
172  for hto4l_parameter, configurable_name_tuple in self.configurable_parameters.items() :
173  # Retrieve Hto4l parameter name and description if there is a match
174  if parameter == configurable_name_tuple[0] :
175  parameter, desc = hto4l_parameter, configurable_name_tuple[1]
176  self.configurable_parameters.pop(hto4l_parameter)
177  break
178  self.fixed_parameters.append( (parameter, value, desc) )
179 
180  def runHto4l(configurator) :
181  configurator.running_process.append(subprocess.Popen( [configurator._hto4l_executable,''], stdout=subprocess.PIPE, stdin=open(configurator.run_card_path), stderr=subprocess.STDOUT ) )
182 
183  while configurator.running_process :
184  # Write output buffer if any
185  for process in configurator.running_process :
186  while True :
187  output = process.stdout.readline().rstrip()
188  if len(output) == 0 : break
189  configurator.logger.info( '{0}'.format(output) )
190  if process.poll() is not None : # process has ended
191  # Flush buffer and print final output (if any) to screen
192  process.stdout.flush()
193  while True :
194  output = process.stdout.readline().rstrip()
195  if len(output) == 0 : break
196  configurator.logger.info( '{0}'.format(output) )
197  # Close output stream and remove process from list
198  process.stdout.close()
199  configurator.running_process.remove( process )
200  configurator.logger.info( 'Hto4l finished - all done.' )
201 
202 
203  @property
204  def run_directory(self) :
205  return self.__run_directory
206 
207 
208 
209  @property
211  return self.__configurable_parameters
212 
213 
214 
215  @property
216  def fixed_parameters(self) :
217  return self.__fixed_parameters
218 
219 
220  @property
221  def logger(self) :
222  return self.__logger
223 
224  # ## Get Hto4l directory
225  # @property
226  # def hto4l_directory(self) :
227  # return self.__hto4l_directory
228 
229 
230 
231  @property
233  return self.__run_card_decorators
234 
235 
236 
237  @property
238  def run_card_path(self) :
239  return '{0}/hto4l.input'.format( self.run_directory )
240 
grepfile.info
info
Definition: grepfile.py:38
python.Hto4lConfig.Hto4lConfig.add_parameter
def add_parameter(self, configurable_name, value, desc='', parameter=None)
Register configurable parameter.
Definition: Hto4lConfig.py:149
vtune_athena.format
format
Definition: vtune_athena.py:14
python.Hto4lConfig.Hto4lConfig._hto4l_executable
string _hto4l_executable
This must be defined by each derived class - don't change it in the jobOptions! _hto4l_executable = _...
Definition: Hto4lConfig.py:33
python.Hto4lConfig.Hto4lConfig.__run_card_decorators
__run_card_decorators
Definition: Hto4lConfig.py:44
CaloCellPos2Ntuple.int
int
Definition: CaloCellPos2Ntuple.py:24
python.Hto4lConfig.Hto4lConfig.running_process
running_process
Initialise timer.
Definition: Hto4lConfig.py:118
python.Hto4lConfig.Hto4lConfig.add_parameter_set
def add_parameter_set(self, parameter_set, **kwargs)
Alias to DecoratorFactory.decorate.
Definition: Hto4lConfig.py:156
python.Hto4lConfig.Hto4lConfig.fixed_parameters
def fixed_parameters(self)
Get list of non-configurable parameters.
Definition: Hto4lConfig.py:216
python.Hto4lConfig.Hto4lConfig.__logger
__logger
Setup athena-compatible logger.
Definition: Hto4lConfig.py:23
python.Hto4lConfig.Hto4lConfig.random_seed
random_seed
Definition: Hto4lConfig.py:57
python.Hto4lConfig.Hto4lConfig.emit_heartbeat
def emit_heartbeat(self, duration)
Output a heartbeat message.
Definition: Hto4lConfig.py:161
dumpHVPathFromNtuple.append
bool append
Definition: dumpHVPathFromNtuple.py:91
python.Hto4lConfig.Hto4lConfig.__init__
def __init__(self, runArgs=None, opts=None)
Definition: Hto4lConfig.py:35
python.Bindings.values
values
Definition: Control/AthenaPython/python/Bindings.py:797
python.Hto4lConfig.Hto4lConfig.run_directory
def run_directory(self)
Get run directory.
Definition: Hto4lConfig.py:204
python.Hto4lConfig.Hto4lConfig.generateEvents
def generateEvents(self)
Run normal event generation.
Definition: Hto4lConfig.py:104
python.Hto4lConfig.Hto4lConfig.fix_parameter
def fix_parameter(self, parameter, value=None, desc='')
Register non-configurable parameter.
Definition: Hto4lConfig.py:168
python.Hto4lConfig.Hto4lConfig.runHto4l
def runHto4l(configurator)
Definition: Hto4lConfig.py:180
python.DecoratorFactory.decorate
def decorate(hto4l_controller, decorator, **kwargs)
Definition: Hto4lControl/python/DecoratorFactory.py:5
python.Hto4lConfig.Hto4lConfig.run_card_path
def run_card_path(self)
Get full path to runcard.
Definition: Hto4lConfig.py:238
python.Hto4lConfig.Hto4lConfig.logger
def logger(self)
Get handle to logger.
Definition: Hto4lConfig.py:221
python.Hto4lConfig.Hto4lConfig.run_card_decorators
def run_card_decorators(self)
Get list of enabled run card decorators.
Definition: Hto4lConfig.py:232
TrigJetMonitorAlgorithm.items
items
Definition: TrigJetMonitorAlgorithm.py:79
python.Hto4lConfig.Hto4lConfig.generateRunCard
def generateRunCard(self)
Initialise runcard with generic options.
Definition: Hto4lConfig.py:67
python.Hto4lConfig.Hto4lConfig.__enable_reweighting
__enable_reweighting
Finalise registered decorators.
Definition: Hto4lConfig.py:93
Trk::open
@ open
Definition: BinningType.h:40
python.Hto4lConfig.Hto4lConfig.nEvents
nEvents
Add universal functionality.
Definition: Hto4lConfig.py:55
python.Hto4lConfig.Hto4lConfig.__configurable_parameters
__configurable_parameters
Definition: Hto4lConfig.py:43
python.Hto4lConfig.Hto4lConfig.__output_events_file_name
__output_events_file_name
This needs to be set so that Generate_trf finds an appropriate file format for showering.
Definition: Hto4lConfig.py:38
pickleTool.object
object
Definition: pickleTool.py:30
python.Hto4lConfig.Hto4lConfig.__run_directory
__run_directory
Set up run directory and path to Hto4l.
Definition: Hto4lConfig.py:14
python.Hto4lConfig.Hto4lConfig.configurable_parameters
def configurable_parameters(self)
Get dictionary of configurable parameters.
Definition: Hto4lConfig.py:210
python.Hto4lConfig.Hto4lConfig.generate
def generate(self, filter_name='', filter_args='')
Run normal event generation.
Definition: Hto4lConfig.py:62
python.Hto4lConfig.Hto4lConfig.__fixed_parameters
__fixed_parameters
Set up lists of parameters and decorators.
Definition: Hto4lConfig.py:41
python.Hto4lConfig.Hto4lConfig
Base class for configurable objects in the jobOptions.
Definition: Hto4lConfig.py:12