Modularise sim WF

* add o2dpg_sim_workflow_evolution.py providing several
  modularisation features

* possible to select modules to be simulated using --modules

* possible to select detectors to be read out using --readout-detectors

* tasks requiring inactive detectors are not added

* allows for transport only using specified detectors/passive modules

* digi, reco and match introduced as logical steps

  * consrtuct e.g. a digit task with add_digi_task
    specify detector, task name constructed automatically

  * get dependency e.g. with get_digit_need

* automatic construction of source strings (e.g. used for vertexing
  commands or aod producer)
  this again returns a string only including of sources actually present
  based on reco and match tasks that have been successfully added

* still possible to construct any task explicitly with name, needs etc
  as before

* some tasks adjusted to their minimal dependencies

* small adjustments in o2dpg_qc_finalization_workflow.py to have same
  "<taskname>_<timeframe>" format of tasknames per timeframe

Author: Benedikt Volkel

MC/bin/o2dpg_qc_finalization_workflow.py

@@ -44,8 +44,8 @@ def include_all_QC_finalization(ntimeframes, standalone, run, productionTag):
   def add_QC_finalization(taskName, qcConfigPath, needs=None):
     if standalone == True:
       needs = []
-    elif needs == None:
-      needs = [taskName + '_local' + str(tf) for tf in range(1, ntimeframes + 1)]
+    elif needs is None:
+      needs = [taskName + f'_local_{tf}' for tf in range(1, ntimeframes + 1)]
 
     task = createTask(name=QC_finalize_name(taskName), needs=needs, cwd=qcdir, lab=["QC"], cpu=1, mem='2000')
     task['cmd'] = f'o2-qc --config {qcConfigPath} --remote-batch {taskName}.root' + \
@@ -74,7 +74,7 @@ def add_QC_postprocessing(taskName, qcConfigPath, needs, runSpecific, prodSpecif
   ## The list of remote-batch workflows (reading the merged QC tasks results, applying Checks, uploading them to QCDB)
   MFTDigitsQCneeds = []
   for flp in range(5):
-    MFTDigitsQCneeds.extend(['mftDigitsQC'+str(flp)+'_local'+str(tf) for tf in range(1, ntimeframes + 1)])
+    MFTDigitsQCneeds.extend([f'mftDigitsQC{flp}_local_{tf}' for tf in range(1, ntimeframes + 1)])
   add_QC_finalization('mftDigitsQC', 'json://${O2DPG_ROOT}/MC/config/QC/json/qc-mft-digit-0.json', MFTDigitsQCneeds)
   add_QC_finalization('mftClustersQC', 'json://${O2DPG_ROOT}/MC/config/QC/json/qc-mft-cluster.json')
   add_QC_finalization('mftAsyncQC', 'json://${O2DPG_ROOT}/MC/config/QC/json/qc-mft-async.json')

MC/bin/o2dpg_sim_workflow.py

@@ -946,7 +946,7 @@ def getDigiTaskName(det):
    if includeFullQC or includeLocalQC:
 
      def addQCPerTF(taskName, needs, readerCommand, configFilePath, objectsFile=''):
-       task = createTask(name=taskName + '_local' + str(tf), needs=needs, tf=tf, cwd=timeframeworkdir, lab=["QC"], cpu=1, mem='2000')
+       task = createTask(name=taskName + '_local_' + str(tf), needs=needs, tf=tf, cwd=timeframeworkdir, lab=["QC"], cpu=1, mem='2000')
        objectsFile = objectsFile if len(objectsFile) > 0 else taskName + '.root'
        # the --local-batch argument will make QC Tasks store their results in a file and merge with any existing objects
        task['cmd'] = f'{readerCommand} | o2-qc --config {configFilePath}' + \