Contrib/PyFoam

1 Short description

This Python-library can be used to

• analyze the logs produced by OpenFoam-solvers
• execute OpenFoam-solvers and utilities and analyze their output simultaneously
• manipulate the parameter files and the initial-conditions of a run in a non-destructive manner

1.1 Motivation

This library was developed to control OpenFOAM-simulations with a decent (sorry Perl) scripting language to do parameter-variations and results analysis.

It is an ongoing effort.

2 Examples

These examples should demonstrate the possible applications of the library.

2.1 Compact output

This example is a wrapper for solvers. For each time-step only one line is output: the time and the initial residuals of the linear solvers (with the name of the solved variable). The complete output of the solver is written to a log-file. The residuals are written to separate files in a special directory in the simulation-directory (for plotting).

 
import re,sys
 
from PyFoam.LogAnalysis.LogLineAnalyzer import LogLineAnalyzer
from PyFoam.LogAnalysis.BoundingLogAnalyzer import BoundingLogAnalyzer
from PyFoam.Execution.AnalyzedRunner import AnalyzedRunner
 
class CompactLineAnalyzer(LogLineAnalyzer):
    def __init__(self):
        LogLineAnalyzer.__init__(self)
 
        self.told=""
        self.exp=re.compile("^(.+):  Solving for (.+), Initial residual = (.+), Final residual = (.+), No Iterations (.+)$")
 
    def doAnalysis(self,line):
        m=self.exp.match(line)
        if m!=None:
            name=m.groups()[1]
            resid=m.groups()[2]
            time=self.getTime()
            if time!=self.told:
                self.told=time
                print "\n t = %6g : " % ( float(time) ),
            print " %5s: %6e " % (name,float(resid)),
            sys.stdout.flush()
 
class CompactAnalyzer(BoundingLogAnalyzer):
    def __init__(self):
        BoundingLogAnalyzer.__init__(self)
        self.addAnalyzer("Compact",CompactLineAnalyzer())
 
run=AnalyzedRunner(CompactAnalyzer(),silent=True)
run.start()

2.2 Parameter Variation

This example does 10 runs of the same case. For each case a different velocity at the inlet is set. After the simulation has ended the mass flow (with this utility) and the pressure difference (with this utility) are calculated and written to the file InflowVariationResults. In addition to this the data of the last time-step is saved to a separate directory (for further analysis):

 
from PyFoam.Execution.ConvergenceRunner import ConvergenceRunner
from PyFoam.Execution.UtilityRunner import UtilityRunner
from PyFoam.LogAnalysis.BoundingLogAnalyzer import BoundingLogAnalyzer
from PyFoam.RunDictionary.SolutionFile import SolutionFile
from PyFoam.RunDictionary.SolutionDirectory import SolutionDirectory
 
solver="simpleFoam"
case="pseudoPoro"
pCmd="calcPressureDifference"
mCmd="calcMassFlow"
 
dire=SolutionDirectory(case,archive="InletVariation")
dire.clearResults()
dire.addBackup("PyFoamSolve.logfile")
dire.addBackup("PyFoamSolve.analyzed")
dire.addBackup("Pressure.analyzed")
dire.addBackup("MassFlow.analyzed")
 
sol=SolutionFile(dire.initialDir(),"U")
 
maximum=1.
nr=10
 
f=dire.makeFile("InflowVariationResults")
 
for i in range(nr+1):
    val=(maximum*i)/nr
    print "Inlet velocity:",val
    sol.replaceBoundary("rein","(%f 0 0)" %(val))
    run=ConvergenceRunner(BoundingLogAnalyzer(),argv=[solver,".",case],silent=True)
    run.start()
 
    print "Last Time = ",dire.getLast()
 
    pUtil=UtilityRunner(argv=[pCmd,".",case],silent=True,logname="Pressure")
    pUtil.add("deltaP","Pressure at .* Difference .*\] (.+)")
    pUtil.start()
 
    deltaP=pUtil.get("deltaP")[0]
 
    mUtil=UtilityRunner(argv=[mCmd,".",case,"-latestTime"],silent=True,logname="MassFlow")
    mUtil.add("mass","Flux at (.+) = .*\] (.+)",idNr=1)
    mUtil.start()
 
    massFlow=mUtil.get("mass",ID="raus")[0]
 
    dire.lastToArchive("vel=%g" % (val))
 
    dire.clearResults()
 
    print "Vel: ",val,"DeltaP: ",deltaP,"Mass Flow:",massFlow
    f.writeLine( (val,deltaP,massFlow) )
 
sol.purgeFile()

3 Installation

1. Download the tar file with the sources
2. Untar it
3. Go to the directory PyFoam-0.1
4. Install it with the command

 
python setup.py install

4 Library Documentation

The tar-file contains the documentation of the Library as HTML (in the folder doc)

5 History

• 2005-08-15: Version 0.1

--Bgschaid 21:50, 15 Aug 2005 (CEST)