def parseUserControl(controlFile,model,config,minObjVal):
(controlNames,controlIds,controlLibraries) = parseUserTargets(controlFile,model)
con = ConstructRegulationOptimization()
config.reflect("Redirector Model",con)
con.delta = 1e-4
con.minObjective = minObjVal
con.controlMax = options.searchNeighborhood
con.newObjective = syntheticObjectiveName
con.addRegulationLibraries(controlLibraries)
if modelMatrix.controlMap != None:
con.setGeneMap(modelMatrix.controlMap)
return (con,controlIds)
def main_function():
parser = OptionParser()
parser.add_option("-v", "--verbose", action="store_true", dest="verbose", default=False, help="set verbose mode")
parser.add_option("-c","--config", dest="config", default="redirector.config", help="master configuration file", metavar="FILE")
parser.add_option("--model_config", dest="modelConfig", default="model.config", help="configuration file", metavar="FILE")
parser.add_option("-n","--configNames", type = "string", dest = "configNames", default = "Default", help = "comma separated list of configuration settings to include", metavar="FILE")
parser.add_option("-m","--modelname", type = "string", dest="modelName", default="", help="name of model from configuration file", metavar="String")
parser.add_option("-b","--bioObjective", type = "string", dest="bioObj", default = 'Biomass', help="name of biological objective reaction", metavar="String")
parser.add_option("-s","--synthObjective", type = "string", dest="synthObj", default='', help="name of synthetic objective reaction", metavar="String")
parser.add_option("--sn", "--searchNeighborhood", dest = "searchNeighborhood", default = 1, type = int, help = "size of search neighborhood", metavar = "int")
parser.add_option("--iter", "--searchIterations", dest = "iterations", default = 1, type = int, help = "maximum number of iterations, if blank no max", metavar = "int")
parser.add_option("--report", action = "store_true", dest = "isReport", default = False, help = "Write report", metavar = "boolean")
parser.add_option("--pl","--preload", dest = "preload", default = 0, type = int, help = "indicate size of pre-made library to load for faster start", metavar="int")
parser.add_option("--ps", "--preStart", dest = "preStart", default = 0, type = int, help = "start from previous iteration state", metavar = "int")
parser.add_option("--gm", "--GeneMap", action="store_true", dest = "useGeneMap", default = False, help = "Use Gene Map")
parser.add_option("--control", dest="control", default = "flat", help = "control library type, flat,binary,sense", metavar="String")
parser.add_option("--simocontrol", dest="simoControl", default = 1.0, help = "number of simultaneously active controls", metavar="int")
parser.add_option("--section", dest="subSections", default = '', help = "Comma separated list of sections of the model files to use", metavar="String")
parser.add_option("-o", dest="resultDirectory", default = './Result', help = "Directory to store analysis results", metavar="String")
# Parse options
(options,args) = parser.parse_args()
config = ReflectionConfig()
config.readfp(open("Redirector.config"))
'''
0. configure analysis
'''
configNames = options.configNames.split(",")
configNames.insert(0,"Redirector Model")
for name in configNames:
config.merge(name,"Redirector",append=True)
#----------------------------------------
# reflect options from configuration
#----------------------------------------
config.reflect("Redirector",options)
config.load("Redirector", options.__dict__,override=False)
#-----------------------------------------
# Check and Build Storage Directories
#-----------------------------------------
dataDirectory = config.getValue("Redirector","dataDirectory",classType=''.__class__)
libraryDirectory = config.getValue("Redirector","libraryDirectory",classType=''.__class__)
resultsDirectory = config.getValue("Redirector","resultDirectory",classType=''.__class__)
analysisDirectory = config.getValue("Redirector","analysisDirectory",classType=''.__class__)
if not os.path.exists(dataDirectory):
raise IOError("unable to find required data directory" % dataDirectory)
if not os.path.exists(resultsDirectory):
os.makedirs(resultsDirectory)
if not os.path.exists(libraryDirectory):
os.makedirs(libraryDirectory)
if not os.path.exists(analysisDirectory):
os.makedirs(analysisDirectory)
#----------------------------
# Parse Inputs
#----------------------------
verbose = config.get("Redirector","verbose")
modelName = config.get("Redirector","modelName")
objectiveName = config.get("Redirector","bioObj")
syntheticObjectiveName = config.get("Redirector","synthObj")
searchSize = config.get("Redirector","searchNeighborhood")
searchIter = config.get("Redirector","iterations")
objectiveMinPercent = float(config.get("Redirector","bioTarget"))
usePrimeBounds = config.get("Redirector","primeBounds") == "True"
#----------------------------------------------------
# Initialize and set values for tools and factories
#----------------------------------------------------
naturalObjective = {objectiveName:-1.0}
syntheticObjective = {syntheticObjectiveName:-1.0}
protectedTargets = set(naturalObjective.keys()).union(syntheticObjective.keys())
if verbose: print "Redirector Version 1.0"
if verbose: print "Model names: [%s]" % (modelName)
if verbose: print "Synthetic objective: [%s]" % (syntheticObjectiveName)
if verbose: print "Parsing data files for [%s]" % (modelName)
if verbose: print "Search Size [%s] Iterations [%s]" % (searchSize,searchIter)
'''
I. Parse data files and configuration settings
'''
if verbose: print "----------------Loading Metabolic Models---------------"
modelNames = modelName.split(",")
modelFactory = ModelFactory()
config.reflect("Redirector",modelFactory)
modelFactory.protectedTargets = protectedTargets
(fluxModel,modelMatrix) = modelFactory.loadModel(modelNames)
if verbose: print "Removing objectives from target set"
targets = modelMatrix.targets
targets = set(targets).difference(protectedTargets)
if verbose: print "Targets List Size [%s]" % len(targets)
simControl = options.simoControl
if verbose: print "Simultaneous Control %s" % simControl
#-------------------------------------------------------------------
# Pre-discovery of flux bound current not used due to instability
#-------------------------------------------------------------------
primeFluxBoundaries = {}
boundarySearchSize = 1
boundaryTargets = targets
boundaryReportFileName = "rd_flux_boundary_M_%s_t_%s_p_%s_s_%s_analysis.csv" % (modelName,len(targets),objectiveMinPercent,boundarySearchSize)
fluxBoundariesFile = "ControlLibraries/FluxBounds_M_%s_O_%s_T_%s_S_%s" % (modelName,objectiveName,objectiveMinPercent,syntheticObjectiveName)
naturalFluxBounds = None
if usePrimeBounds:
print "finding natural flux bounds [%s]" % (usePrimeBounds)
#return False
naturalFluxBounds = LinearModelVariableBoundarys(modelMatrix, objectiveName=objectiveName, targets=boundaryTargets, pickleFileName = fluxBoundariesFile, minObjectivePercent=objectiveMinPercent,searchSize=boundarySearchSize)
print "finding production flux bounds"
#syntheticFluxBounds = LinearModelVariableBoundarys(modelMatrix, objectiveName=syntheticObjectiveName, targets=boundaryTargets, pickleFileName = fluxBoundariesFile, minObjectivePercent=objectiveMinPercent,searchSize=boundarySearchSize)
if verbose: print "Prime flux boundaries found."
boundaryReport = Report()
boundaryReport.addColumnHash(objectiveName, naturalFluxBounds)
#boundaryReport.addColumnHash(syntheticObjectiveName, syntheticFluxBounds)
writer = ReportWriter()
writer.setFile(boundaryReportFileName)
writer.write(boundaryReport)
writer.closeFile()
'''
II. Generate Control Library(ies)
'''
if verbose: print "===============Setting up control libraries================="
processLibrary = OptimizationControlFactory()
config.reflect("Redirector",processLibrary)
processLibrary.geneMap = modelMatrix.controlMap
processLibrary.fluxBounds = primeFluxBoundaries
processLibrary.naturalObjectiveName = objectiveName
processLibrary.syntheticObjectiveName = syntheticObjectiveName
controlLibraries = []
controlMap = {}
controlTags = options.control.split(",")
if "sense" in controlTags:
print "====>Using sensitivity control library"
(icontrolLibraries, controlMap) = processLibrary.generateControl(modelMatrix,targets,targetsOnly = False)
icontrolLibraries = processLibrary._filterControl(icontrolLibraries, targets)
controlLibraries.extend(icontrolLibraries)
if "flat" in controlTags:
print "====>Using flat control library"
(icontrolLibraries) = processLibrary.seedTestLibrary(targets, randomize=False)
controlLibraries.extend(icontrolLibraries)
if "random" in controlTags:
print "====>Using random control library"
(icontrolLibraries) = processLibrary.seedTestLibrary(targets, randomize=True, factor = 2.0)
controlLibraries.extend(icontrolLibraries)
if "binary" in controlTags:
print "====>Using binary control library"
binaryRange =[-3,-2,-1,0]
icontrolLibraries = processLibrary.generateBinaryControl(targets,binaryRange)
controlLibraries.extend(icontrolLibraries)
controlReportName = "ControlLibraries/ControlReport_%s_%s_%s_%s.csv" % (options.configNames,objectiveName,syntheticObjectiveName,len(targets))
processLibrary.controlReport(modelMatrix, controlLibraries, controlMap, targets, controlReportName)
print "============Control Constructed============="
#--------------------------------------------------
#configure Redirector model construction object
#--------------------------------------------------
if verbose: print "==Formulating Framework=="
con = ConstructRegulationOptimization()
config.reflect("Redirector",con)
con.controlMax = options.searchNeighborhood
con.newObjective = syntheticObjectiveName
#----------------------------------------
# Initialize redirector analysis object
#----------------------------------------
if verbose: print "==Running Optimization=="
redirector = OptimizationControlRedirector()
config.reflect("Redirector",redirector)
redirector.modelFactory = modelFactory
redirector.con = con
redirector.controlFactory = processLibrary
redirector.controlLibraries = controlLibraries
redirector.primeBounds = naturalFluxBounds
#redirector.targets = targets
redirector.rGeneMap = modelMatrix.controlMap
#redirector.modelName = modelName
redirector.naturalObjectiveName = objectiveName
redirector.syntheticObjectiveName = syntheticObjectiveName
#--------------------------------------------------------
# Debugging option which tests addition / removal of
# reactions from the objective
#--------------------------------------------------------
if "toggle0" in options.control.split(","):
if verbose: print "-----------control test toggle 0-------------------"
redirector.testDesignOptimization(modelMatrix)
if "toggle" in options.control.split(","):
if verbose: print "-----------control test toggle all-------------------"
redirector.testDesignOptimization(modelMatrix,fullTest=True)
(ltReport,oPredVal,sPredVal,finalCheckValue,fObjective) = redirector.optimizeControl(modelMatrix)
finalPredictionValue = ltReport["flux"]
if verbose: print "Final Production: %s" % (finalPredictionValue[syntheticObjectiveName])
#-----------------------------
# Write Report
#----------------------------
if options.isReport:
try:
print "Writing Full Model Report in %s" % (options.resultDirectory)
redirector.writeReport(ltReport,fluxModel,oPredVal,sPredVal,searchSize,searchIter,fObjective,resultsDirectory)
except Exception, e:
print "Unable to write report: %s" % (e)
try:
targetReportName = "Target_Report_M_%s_N_%s_S_%s_K_%s_I_%s.txt" % (modelName,objectiveName,syntheticObjectiveName,options.searchNeighborhood,options.iterations)
print "Writing Optimization target Report %s" % (targetReportName)
iteration = options.preStart + options.iterations
redirector.writeAnnotatedTargets(fObjective, modelMatrix, annotationName = "bnumber", regex="[a-zA-Z0-9\(\)]+", iteration = iteration, oPrediction = oPredVal, nPrediction = finalPredictionValue)
except:
print "failed to write %s" % (targetReportName)