def scanDir(self,dPath,usages):
dName=path.basename(dPath)
if dName[0]==".":
return
elif dName in ["lnInclude","Doxygen"]:
return
elif dName in ["Make","platform","bin"]:
for f in listdir(dPath):
if f[0]==".":
continue
nPath=path.join(dPath,f)
if path.isdir(nPath):
isBin=False
for end in ["Opt","Debug","Prof"]:
if f.find(end)>0 and (f.find(end)+len(end))==len(f):
isBin=True
if isBin:
sz=diskUsage(nPath)
try:
usages[f]+=sz
except KeyError:
usages[f]=sz
# print_("Found architecture",f,"in",dPath)
else:
try:
for f in listdir(dPath):
nPath=path.join(dPath,f)
if path.isdir(nPath) and not path.islink(nPath):
self.scanDir(nPath,usages)
except OSError:
self.warning("Can't process",dPath)
def scanDir(self, dPath, usages, depth=1):
dName = path.basename(dPath)
dirs = ["Make", "platform", "bin", "platforms", "build"]
if self.opts.doDocumentation:
dirs += ["Doxygen"]
if dName[0] == ".":
return
elif dName in ["lnInclude"]:
return
elif dName in dirs:
for f in tqdm(listdir(dPath),
desc=path.basename(dPath),
disable=depth > self.opts.maximumProgressDepth,
unit="files"):
if f[0] == ".":
continue
nPath = path.join(dPath, f)
if path.isdir(nPath):
isBin = False
for end in ["Opt", "Debug", "Prof"]:
if f.find(end) > 0 and (f.find(end) +
len(end)) == len(f):
isBin = True
if f in ["html"] and self.opts.doDocumentation:
isBin = True
if isBin:
sz = diskUsage(nPath)
try:
usages[f] += sz
except KeyError:
usages[f] = sz
# self.output("Found architecture",f,"in",dPath)
else:
try:
for f in tqdm(listdir(dPath),
unit="files",
disable=depth > self.opts.maximumProgressDepth,
desc=path.basename(dPath)):
nPath = path.join(dPath, f)
if path.isdir(nPath) and not path.islink(nPath):
self.scanDir(nPath, usages, depth=depth + 1)
except OSError:
self.warning("Can't process", dPath)
def scanDir(self,dPath,usages,depth=1):
dName=path.basename(dPath)
if dName[0]==".":
return
elif dName in ["lnInclude","Doxygen"]:
return
elif dName in ["Make","platform","bin","platforms"]:
for f in tqdm(listdir(dPath),
desc=path.basename(dPath),
disable=depth>self.opts.maximumProgressDepth,
unit="files"):
if f[0]==".":
continue
nPath=path.join(dPath,f)
if path.isdir(nPath):
isBin=False
for end in ["Opt","Debug","Prof"]:
if f.find(end)>0 and (f.find(end)+len(end))==len(f):
isBin=True
if isBin:
sz=diskUsage(nPath)
try:
usages[f]+=sz
except KeyError:
usages[f]=sz
# self.output("Found architecture",f,"in",dPath)
else:
try:
for f in tqdm(listdir(dPath),
unit="files",
disable=depth>self.opts.maximumProgressDepth,
desc=path.basename(dPath)):
nPath=path.join(dPath,f)
if path.isdir(nPath) and not path.islink(nPath):
self.scanDir(nPath,usages,depth=depth+1)
except OSError:
self.warning("Can't process",dPath)
def lookForCases(d):
for n in tqdm(listdir(d),
unit="entries",
leave=False,
desc=path.basename(path.abspath(d)),
disable=not self.opts.progressBar):
if not self.fnmatch(n):
continue
cName=path.join(d,n)
if path.isdir(cName):
try:
sol=SolutionDirectory(cName,archive=None,paraviewLink=False)
if sol.isValid():
if self.opts.progress:
print_("Processing",cName)
data={}
data["mtime"]=stat(cName)[ST_MTIME]
times=sol.getTimes()
try:
data["first"]=times[0]
except IndexError:
data["first"]="None"
try:
data["last"]=times[-1]
except IndexError:
data["last"]="None"
data["nrSteps"]=len(times)
data["procs"]=sol.nrProcs()
data["pFirst"]=-1
data["pLast"]=-1
data["nrParallel"]=-1
if self.opts.parallel:
pTimes=sol.getParallelTimes()
data["nrParallel"]=len(pTimes)
if len(pTimes)>0:
data["pFirst"]=pTimes[0]
data["pLast"]=pTimes[-1]
data["name"]=cName
data["diskusage"]=-1
if self.opts.diskusage:
data["diskusage"]=diskUsage(cName)
totalDiskusage+=data["diskusage"]
if self.opts.parallel:
for f in listdir(cName):
if re.compile("processor[0-9]+").match(f):
data["mtime"]=max(stat(path.join(cName,f))[ST_MTIME],data["mtime"])
if self.opts.state or self.opts.estimateEndTime:
try:
data["startedAt"]=time.mktime(time.strptime(self.readState(sol,"StartedAt")))
except ValueError:
data["startedAt"]="nix"
if self.opts.state:
try:
data["nowTime"]=float(self.readState(sol,"CurrentTime"))
except ValueError:
data["nowTime"]=None
try:
data["lastOutput"]=time.mktime(time.strptime(self.readState(sol,"LastOutputSeen")))
except ValueError:
data["lastOutput"]="nix"
data["state"]=self.readState(sol,"TheState")
if data["state"]=="Running":
try:
gone=time.time()-data["lastOutput"]
if gone>self.opts.deadThreshold:
data["state"]="Dead "+humanReadableDuration(gone)
except KeyError:
pass
except TypeError:
pass
if self.opts.startEndTime or self.opts.estimateEndTime:
try:
ctrlDict=ParsedParameterFile(sol.controlDict(),doMacroExpansion=True)
except PyFoamParserError:
# Didn't work with Macro expansion. Let's try without
try:
ctrlDict=ParsedParameterFile(sol.controlDict())
except PyFoamParserError:
ctrlDict=None
if ctrlDict:
data["startTime"]=ctrlDict["startTime"]
data["endTime"]=ctrlDict["endTime"]
else:
data["startTime"]=None
data["endTime"]=None
if self.opts.estimateEndTime:
data["endTimeEstimate"]=None
if self.readState(sol,"TheState")=="Running":
gone=time.time()-data["startedAt"]
try:
current=float(self.readState(sol,"CurrentTime"))
frac=(current-data["startTime"])/(data["endTime"]-data["startTime"])
except ValueError:
frac=0
if frac>0:
data["endTimeEstimate"]=data["startedAt"]+gone/frac
if self.opts.hgInfo:
if path.isdir(path.join(cName,".hg")):
from stat import ST_ATIME
prevStat=stat(cName)
try:
data["hgInfo"]=sub.Popen(["hg", "id",
"-R",cName,
"-b","-n","-i"], stdout=sub.PIPE).communicate()[0].strip()
except OSError:
data["hgInfo"]="<hg not working>"
postStat=stat(cName)
if prevStat[ST_MTIME]!=postStat[ST_MTIME]:
# hg seems to modify the modification time of the directory. So reset it
os.utime(cName,(postStat[ST_ATIME],prevStat[ST_MTIME]))
else:
data["hgInfo"]="<no .hg directory>"
if len(customData)>0 or self.opts.hostname:
fn=None
pickleFile=None
if useSolverInData:
data["solver"]="none found"
# try to find the oldest pickled file
dirAndTime=[]
for f in ["pickledData","pickledUnfinishedData","pickledStartData"]:
for g in glob(path.join(cName,"*.analyzed")):
pName=path.join(g,f)
base=path.basename(g)
if base.find("PyFoamRunner.")==0:
solverName=base[len("PyFoamRunner."):-len(".analyzed")]
else:
solverName=None
if path.exists(pName):
dirAndTime.append((path.getmtime(pName),solverName,pName))
dirAndTime.sort(key=lambda x:x[0])
if len(dirAndTime)>0:
data["solver"]=dirAndTime[-1][1]
pickleFile=dirAndTime[-1][2]
solverName=data["solver"]
else:
solverName=self.opts.solverNameForCustom
if pickleFile:
fn=pickleFile
else:
for f in ["pickledData","pickledUnfinishedData","pickledStartData"]:
fp=path.join(cName,"PyFoamRunner."+solverName+".analyzed",f)
if path.exists(fp):
fn=fp
break
pickleOK=False
if fn:
try:
raw=pickle.Unpickler(open(fn,"rb")).load()
pickleOK=True
for n,spec in customData:
dt=raw
for k in spec:
try:
dt=dt[k]
except KeyError:
dt="No key '"+k+"'"
break
if isinstance(dt,string_types):
break
data[n]=dt
if self.opts.hostname:
try:
data["hostname"]=raw["hostname"].split(".")[0]
except KeyError:
data["hostname"]="<unspecified>"
except ValueError:
pass
if not pickleOK:
for n,spec in customData:
data[n]="<no file>"
if self.opts.hostname:
data["hostname"]="<no file>"
cData.append(data)
elif self.opts.recursive:
# print("Recurse",cName)
lookForCases(cName)
except OSError:
print_(cName,"is unreadable")
def lookForCases(d):
for n in tqdm(listdir(d),
unit="entries",
leave=False,
desc=path.basename(path.abspath(d)),
disable=not self.opts.progressBar):
if not self.fnmatch(n):
continue
cName = path.join(d, n)
if path.isdir(cName):
try:
sol = SolutionDirectory(cName,
archive=None,
paraviewLink=False)
if sol.isValid():
if self.opts.progress:
print_("Processing", cName)
data = {}
data["mtime"] = stat(cName)[ST_MTIME]
times = sol.getTimes()
try:
data["first"] = times[0]
except IndexError:
data["first"] = "None"
try:
data["last"] = times[-1]
except IndexError:
data["last"] = "None"
data["nrSteps"] = len(times)
data["procs"] = sol.nrProcs()
data["pFirst"] = -1
data["pLast"] = -1
data["nrParallel"] = -1
if self.opts.parallel:
pTimes = sol.getParallelTimes()
data["nrParallel"] = len(pTimes)
if len(pTimes) > 0:
data["pFirst"] = pTimes[0]
data["pLast"] = pTimes[-1]
data["name"] = cName
data["diskusage"] = -1
if self.opts.diskusage:
data["diskusage"] = diskUsage(cName)
totalDiskusage += data["diskusage"]
if self.opts.parallel:
for f in listdir(cName):
if re.compile("processor[0-9]+").match(f):
data["mtime"] = max(
stat(path.join(cName,
f))[ST_MTIME],
data["mtime"])
if self.opts.state or self.opts.estimateEndTime:
try:
data["startedAt"] = time.mktime(
time.strptime(
self.readState(sol, "StartedAt")))
except ValueError:
data["startedAt"] = "nix"
if self.opts.state:
try:
data["nowTime"] = float(
self.readState(sol, "CurrentTime"))
except ValueError:
data["nowTime"] = None
try:
data["lastOutput"] = time.mktime(
time.strptime(
self.readState(
sol, "LastOutputSeen")))
except ValueError:
data["lastOutput"] = "nix"
data["state"] = self.readState(sol, "TheState")
if data["state"] == "Running":
try:
gone = time.time() - data["lastOutput"]
if gone > self.opts.deadThreshold:
data[
"state"] = "Dead " + humanReadableDuration(
gone)
except KeyError:
pass
except TypeError:
pass
if self.opts.startEndTime or self.opts.estimateEndTime:
try:
ctrlDict = ParsedParameterFile(
sol.controlDict(),
doMacroExpansion=True)
except PyFoamParserError:
# Didn't work with Macro expansion. Let's try without
try:
ctrlDict = ParsedParameterFile(
sol.controlDict())
except PyFoamParserError:
ctrlDict = None
if ctrlDict:
data["startTime"] = ctrlDict["startTime"]
data["endTime"] = ctrlDict["endTime"]
else:
data["startTime"] = None
data["endTime"] = None
if self.opts.estimateEndTime:
data["endTimeEstimate"] = None
if self.readState(sol,
"TheState") == "Running":
gone = time.time() - data["startedAt"]
try:
current = float(
self.readState(sol, "CurrentTime"))
frac = (current - data["startTime"]
) / (data["endTime"] -
data["startTime"])
except ValueError:
frac = 0
if frac > 0:
data["endTimeEstimate"] = data[
"startedAt"] + gone / frac
if self.opts.hgInfo:
if path.isdir(path.join(cName, ".hg")):
from stat import ST_ATIME
prevStat = stat(cName)
try:
data["hgInfo"] = sub.Popen(
[
"hg", "id", "-R", cName, "-b",
"-n", "-i"
],
stdout=sub.PIPE).communicate(
)[0].strip()
except OSError:
data["hgInfo"] = "<hg not working>"
postStat = stat(cName)
if prevStat[ST_MTIME] != postStat[ST_MTIME]:
# hg seems to modify the modification time of the directory. So reset it
os.utime(cName, (postStat[ST_ATIME],
prevStat[ST_MTIME]))
else:
data["hgInfo"] = "<no .hg directory>"
if len(customData) > 0 or self.opts.hostname:
fn = None
pickleFile = None
if useSolverInData:
data["solver"] = "none found"
# try to find the oldest pickled file
dirAndTime = []
for f in [
"pickledData",
"pickledUnfinishedData",
"pickledStartData"
]:
for g in glob(
path.join(cName,
"*.analyzed")):
pName = path.join(g, f)
base = path.basename(g)
if base.find("PyFoamRunner.") == 0:
solverName = base[
len("PyFoamRunner."
):-len(".analyzed")]
else:
solverName = None
if path.exists(pName):
dirAndTime.append(
(path.getmtime(pName),
solverName, pName))
dirAndTime.sort(key=lambda x: x[0])
if len(dirAndTime) > 0:
data["solver"] = dirAndTime[-1][1]
pickleFile = dirAndTime[-1][2]
solverName = data["solver"]
else:
solverName = self.opts.solverNameForCustom
if pickleFile:
fn = pickleFile
else:
for f in [
"pickledData",
"pickledUnfinishedData",
"pickledStartData"
]:
fp = path.join(
cName, "PyFoamRunner." +
solverName + ".analyzed", f)
if path.exists(fp):
fn = fp
break
pickleOK = False
if fn:
try:
raw = pickle.Unpickler(open(
fn, "rb")).load()
pickleOK = True
for n, spec in customData:
dt = raw
for k in spec:
try:
dt = dt[k]
except KeyError:
dt = "No key '" + k + "'"
break
if isinstance(
dt, string_types):
break
data[n] = dt
if self.opts.hostname:
try:
data["hostname"] = raw[
"hostname"].split(".")[0]
except KeyError:
data[
"hostname"] = "<unspecified>"
except ValueError:
pass
if not pickleOK:
for n, spec in customData:
data[n] = "<no file>"
if self.opts.hostname:
data["hostname"] = "<no file>"
cData.append(data)
elif self.opts.recursive:
# print("Recurse",cName)
lookForCases(cName)
except OSError:
print_(cName, "is unreadable")
def run(self):
dirs=self.parser.getArgs()
if len(dirs)==0:
dirs=[path.curdir]
cData=[]
totalDiskusage=0
useSolverInData=False
self.hasState=False
customData=[]
for i,c in enumerate(self.opts.customData):
lst=c.split("=")
if len(lst)==2:
name,spec=lst
name+="_" # Make sure that there is no collision with standard-names
elif len(lst)==1:
name,spec="Custom%d" % (i+1),c
else:
self.error("Custom specification",c,"does not fit the pattern 'name=subs1::subs2::..'")
customData.append((name,spec.split("::")))
if len(customData)>0 and not self.opts.solverNameForCustom:
self.warning("Parameter '--solver-name-for-custom-data' should be set if '--custom-data' is used")
useSolverInData=True
for d in dirs:
for n in listdir(d):
cName=path.join(d,n)
if path.isdir(cName):
try:
sol=SolutionDirectory(cName,archive=None,paraviewLink=False)
if sol.isValid():
if self.opts.progress:
print_("Processing",cName)
data={}
data["mtime"]=stat(cName)[ST_MTIME]
times=sol.getTimes()
try:
data["first"]=times[0]
except IndexError:
data["first"]="None"
try:
data["last"]=times[-1]
except IndexError:
data["last"]="None"
data["nrSteps"]=len(times)
data["procs"]=sol.nrProcs()
data["pFirst"]=-1
data["pLast"]=-1
data["nrParallel"]=-1
if self.opts.parallel:
pTimes=sol.getParallelTimes()
data["nrParallel"]=len(pTimes)
if len(pTimes)>0:
data["pFirst"]=pTimes[0]
data["pLast"]=pTimes[-1]
data["name"]=cName
data["diskusage"]=-1
if self.opts.diskusage:
data["diskusage"]=diskUsage(cName)
totalDiskusage+=data["diskusage"]
if self.opts.parallel:
for f in listdir(cName):
if re.compile("processor[0-9]+").match(f):
data["mtime"]=max(stat(path.join(cName,f))[ST_MTIME],data["mtime"])
if self.opts.state:
try:
data["nowTime"]=float(self.readState(sol,"CurrentTime"))
except ValueError:
data["nowTime"]=None
try:
data["lastOutput"]=time.mktime(time.strptime(self.readState(sol,"LastOutputSeen")))
except ValueError:
data["lastOutput"]="nix"
data["state"]=self.readState(sol,"TheState")
if self.opts.state or self.opts.estimateEndTime:
try:
data["startedAt"]=time.mktime(time.strptime(self.readState(sol,"StartedAt")))
except ValueError:
data["startedAt"]="nix"
if self.opts.startEndTime or self.opts.estimateEndTime:
try:
ctrlDict=ParsedParameterFile(sol.controlDict(),doMacroExpansion=True)
except PyFoamParserError:
# Didn't work with Macro expansion. Let's try without
try:
ctrlDict=ParsedParameterFile(sol.controlDict())
except PyFoamParserError:
ctrlDict=None
if ctrlDict:
data["startTime"]=ctrlDict["startTime"]
data["endTime"]=ctrlDict["endTime"]
else:
data["startTime"]=None
data["endTime"]=None
if self.opts.estimateEndTime:
data["endTimeEstimate"]=None
if self.readState(sol,"TheState")=="Running":
gone=time.time()-data["startedAt"]
try:
current=float(self.readState(sol,"CurrentTime"))
frac=(current-data["startTime"])/(data["endTime"]-data["startTime"])
except ValueError:
frac=0
if frac>0:
data["endTimeEstimate"]=data["startedAt"]+gone/frac
if len(customData)>0:
fn=None
pickleFile=None
if useSolverInData:
data["solver"]="none found"
# try to find the oldest pickled file
for f in ["pickledData","pickledUnfinishedData","pickledStartData"]:
dirAndTime=[]
for g in glob(path.join(cName,"*.analyzed")):
pName=path.join(g,f)
base=path.basename(g)
if base.find("PyFoamRunner.")==0:
solverName=base[len("PyFoamRunner."):-len(".analyzed")]
else:
solverName=None
if path.exists(pName):
dirAndTime.append((path.getmtime(pName),solverName,pName))
dirAndTime.sort(key=lambda x:x[0])
if len(dirAndTime)>0:
data["solver"]=dirAndTime[-1][1]
pickleFile=dirAndTime[-1][2]
break
solverName=data["solver"]
else:
solverName=self.opts.solverNameForCustom
if pickleFile:
fn=pickleFile
else:
for f in ["pickledData","pickledUnfinishedData","pickledStartData"]:
fp=path.join(cName,"PyFoamRunner."+solverName+".analyzed",f)
if path.exists(fp):
fn=fp
break
if fn:
raw=pickle.Unpickler(open(fn)).load()
for n,spec in customData:
dt=raw
for k in spec:
try:
dt=dt[k]
except KeyError:
dt="No key '"+k+"'"
break
if isinstance(dt,string_types):
break
data[n]=dt
else:
for n,spec in customData:
data[n]="no file"
cData.append(data)
except OSError:
print_(cName,"is unreadable")
if self.opts.progress:
print_("Sorting data")
cData.sort(key=lambda x:x[self.opts.sort],reverse=self.opts.reverse)
if len(cData)==0:
print_("No cases found")
return
if self.opts.dump:
print_(cData)
return
lens={}
for k in list(cData[0].keys()):
lens[k]=len(k)
for c in cData:
for k in ["mtime","lastOutput","startedAt","endTimeEstimate"]:
try:
if c[k]!=None:
if self.opts.relativeTime:
c[k]=datetime.timedelta(seconds=long(time.time()-c[k]))
else:
c[k]=time.asctime(time.localtime(c[k]))
except KeyError:
pass
except TypeError:
c[k]=None
try:
c["diskusage"]=humanReadableSize(c["diskusage"])
except KeyError:
pass
for k,v in iteritems(c):
lens[k]=max(lens[k],len(str(v)))
format=""
spec=["mtime"," | ","first"," - ","last"," (","nrSteps",") "]
if self.opts.parallel:
spec+=["| ","procs"," : ","pFirst"," - ","pLast"," (","nrParallel",") | "]
if self.opts.diskusage:
spec+=["diskusage"," | "]
if self.hasState:
spec+=["nowTime"," s ","state"," | "]
if self.opts.advancedState:
spec+=["lastOutput"," | ","startedAt"," | "]
if self.opts.estimateEndTime:
if not self.opts.advancedState:
spec+=["startedAt"," | "]
spec+=["endTimeEstimate"," | "]
if self.opts.startEndTime:
spec+=["startTime"," | ","endTime"," | "]
if useSolverInData:
spec+=["solver"," | "]
for n,s in customData:
spec+=[n," | "]
spec+=["name"]
for i,l in enumerate(spec):
if not l in list(cData[0].keys()):
format+=l
else:
if i<len(spec)-1:
format+="%%(%s)%ds" % (l,lens[l])
else:
format+="%%(%s)s" % (l)
if self.opts.progress:
print_("Printing\n\n")
header=format % dict(list(zip(list(cData[0].keys()),list(cData[0].keys()))))
print_(header)
print_("-"*len(header))
for d in cData:
for k in list(d.keys()):
d[k]=str(d[k])
print_(format % d)
if self.opts.diskusage:
print_("Total disk-usage:",humanReadableSize(totalDiskusage))
def run(self):
dirs = self.parser.getArgs()
if len(dirs) == 0:
dirs = [path.curdir]
cData = []
totalDiskusage = 0
useSolverInData = False
self.hasState = False
customData = []
for i, c in enumerate(self.opts.customData):
lst = c.split("=")
if len(lst) == 2:
name, spec = lst
name += "_" # Make sure that there is no collision with standard-names
elif len(lst) == 1:
name, spec = "Custom%d" % (i + 1), c
else:
self.error("Custom specification", c,
"does not fit the pattern 'name=subs1::subs2::..'")
customData.append((name, spec.split("::")))
if len(customData) > 0 and not self.opts.solverNameForCustom:
self.warning(
"Parameter '--solver-name-for-custom-data' should be set if '--custom-data' is used"
)
useSolverInData = True
elif self.opts.hostname:
useSolverInData = True
for d in tqdm(dirs,
unit="dirs",
disable=not self.opts.progressBar or len(dirs) < 2):
if not path.isdir(d):
self.warning("There is no directory", d, "here")
continue
for n in tqdm(listdir(d),
unit="entries",
desc=path.basename(path.abspath(d)),
disable=not self.opts.progressBar):
if not self.fnmatch(n):
continue
cName = path.join(d, n)
if path.isdir(cName):
try:
sol = SolutionDirectory(cName,
archive=None,
paraviewLink=False)
if sol.isValid():
if self.opts.progress:
print_("Processing", cName)
data = {}
data["mtime"] = stat(cName)[ST_MTIME]
times = sol.getTimes()
try:
data["first"] = times[0]
except IndexError:
data["first"] = "None"
try:
data["last"] = times[-1]
except IndexError:
data["last"] = "None"
data["nrSteps"] = len(times)
data["procs"] = sol.nrProcs()
data["pFirst"] = -1
data["pLast"] = -1
data["nrParallel"] = -1
if self.opts.parallel:
pTimes = sol.getParallelTimes()
data["nrParallel"] = len(pTimes)
if len(pTimes) > 0:
data["pFirst"] = pTimes[0]
data["pLast"] = pTimes[-1]
data["name"] = cName
data["diskusage"] = -1
if self.opts.diskusage:
data["diskusage"] = diskUsage(cName)
totalDiskusage += data["diskusage"]
if self.opts.parallel:
for f in listdir(cName):
if re.compile("processor[0-9]+").match(f):
data["mtime"] = max(
stat(path.join(cName,
f))[ST_MTIME],
data["mtime"])
if self.opts.state:
try:
data["nowTime"] = float(
self.readState(sol, "CurrentTime"))
except ValueError:
data["nowTime"] = None
try:
data["lastOutput"] = time.mktime(
time.strptime(
self.readState(
sol, "LastOutputSeen")))
except ValueError:
data["lastOutput"] = "nix"
data["state"] = self.readState(sol, "TheState")
if self.opts.state or self.opts.estimateEndTime:
try:
data["startedAt"] = time.mktime(
time.strptime(
self.readState(sol, "StartedAt")))
except ValueError:
data["startedAt"] = "nix"
if self.opts.startEndTime or self.opts.estimateEndTime:
try:
ctrlDict = ParsedParameterFile(
sol.controlDict(),
doMacroExpansion=True)
except PyFoamParserError:
# Didn't work with Macro expansion. Let's try without
try:
ctrlDict = ParsedParameterFile(
sol.controlDict())
except PyFoamParserError:
ctrlDict = None
if ctrlDict:
data["startTime"] = ctrlDict["startTime"]
data["endTime"] = ctrlDict["endTime"]
else:
data["startTime"] = None
data["endTime"] = None
if self.opts.estimateEndTime:
data["endTimeEstimate"] = None
if self.readState(sol,
"TheState") == "Running":
gone = time.time() - data["startedAt"]
try:
current = float(
self.readState(sol, "CurrentTime"))
frac = (current - data["startTime"]
) / (data["endTime"] -
data["startTime"])
except ValueError:
frac = 0
if frac > 0:
data["endTimeEstimate"] = data[
"startedAt"] + gone / frac
if self.opts.hgInfo:
if path.isdir(path.join(cName, ".hg")):
from stat import ST_ATIME
prevStat = stat(cName)
try:
data["hgInfo"] = sub.Popen(
[
"hg", "id", "-R", cName, "-b",
"-n", "-i"
],
stdout=sub.PIPE).communicate(
)[0].strip()
except OSError:
data["hgInfo"] = "<hg not working>"
postStat = stat(cName)
if prevStat[ST_MTIME] != postStat[ST_MTIME]:
# hg seems to modify the modification time of the directory. So reset it
os.utime(cName, (postStat[ST_ATIME],
prevStat[ST_MTIME]))
else:
data["hgInfo"] = "<no .hg directory>"
if len(customData) > 0 or self.opts.hostname:
fn = None
pickleFile = None
if useSolverInData:
data["solver"] = "none found"
# try to find the oldest pickled file
for f in [
"pickledData",
"pickledUnfinishedData",
"pickledStartData"
]:
dirAndTime = []
for g in glob(
path.join(cName,
"*.analyzed")):
pName = path.join(g, f)
base = path.basename(g)
if base.find("PyFoamRunner.") == 0:
solverName = base[
len("PyFoamRunner."
):-len(".analyzed")]
else:
solverName = None
if path.exists(pName):
dirAndTime.append(
(path.getmtime(pName),
solverName, pName))
dirAndTime.sort(key=lambda x: x[0])
if len(dirAndTime) > 0:
data["solver"] = dirAndTime[-1][1]
pickleFile = dirAndTime[-1][2]
break
solverName = data["solver"]
else:
solverName = self.opts.solverNameForCustom
if pickleFile:
fn = pickleFile
else:
for f in [
"pickledData",
"pickledUnfinishedData",
"pickledStartData"
]:
fp = path.join(
cName, "PyFoamRunner." +
solverName + ".analyzed", f)
if path.exists(fp):
fn = fp
break
if fn:
raw = pickle.Unpickler(open(fn,
"rb")).load()
for n, spec in customData:
dt = raw
for k in spec:
try:
dt = dt[k]
except KeyError:
dt = "No key '" + k + "'"
break
if isinstance(dt, string_types):
break
data[n] = dt
if self.opts.hostname:
try:
data["hostname"] = raw[
"hostname"].split(".")[0]
except KeyError:
data["hostname"] = "<unspecified>"
else:
for n, spec in customData:
data[n] = "<no file>"
if self.opts.hostname:
data["hostname"] = "<no file>"
cData.append(data)
except OSError:
print_(cName, "is unreadable")
if self.opts.progress:
print_("Sorting data")
cData.sort(key=lambda x: x[self.opts.sort], reverse=self.opts.reverse)
if len(cData) == 0:
print_("No cases found")
return
if self.opts.dump:
print_(cData)
return
lens = {}
for k in list(cData[0].keys()):
lens[k] = len(k)
for c in cData:
for k in ["mtime", "lastOutput", "startedAt", "endTimeEstimate"]:
try:
if c[k] != None:
if self.opts.relativeTime:
c[k] = datetime.timedelta(
seconds=long(time.time() - c[k]))
else:
c[k] = time.asctime(time.localtime(c[k]))
except KeyError:
pass
except TypeError:
c[k] = None
try:
c["diskusage"] = humanReadableSize(c["diskusage"])
except KeyError:
pass
for k, v in iteritems(c):
lens[k] = max(lens[k], len(str(v)))
format = ""
spec = ["mtime", " | "]
if self.opts.hostname:
spec += ["hostname", " | "]
spec += ["first", " - ", "last", " (", "nrSteps", ") "]
if self.opts.parallel:
spec += [
"| ", "procs", " : ", "pFirst", " - ", "pLast", " (",
"nrParallel", ") | "
]
if self.opts.diskusage:
spec += ["diskusage", " | "]
if self.hasState:
spec += ["nowTime", " s ", "state", " | "]
if self.opts.advancedState:
spec += ["lastOutput", " | ", "startedAt", " | "]
if self.opts.estimateEndTime:
if not self.opts.advancedState:
spec += ["startedAt", " | "]
spec += ["endTimeEstimate", " | "]
if self.opts.startEndTime:
spec += ["startTime", " | ", "endTime", " | "]
if useSolverInData:
spec += ["solver", " | "]
for n, s in customData:
spec += [n, " | "]
if self.opts.hgInfo:
spec += ["hgInfo", " | "]
spec += ["name"]
for i, l in enumerate(spec):
if not l in list(cData[0].keys()):
format += l
else:
if i < len(spec) - 1:
format += "%%(%s)%ds" % (l, lens[l])
else:
format += "%%(%s)s" % (l)
if self.opts.progress:
print_("Printing\n\n")
header = format % dict(
list(zip(list(cData[0].keys()), list(cData[0].keys()))))
print_(header)
print_("-" * len(header))
for d in cData:
for k in list(d.keys()):
d[k] = str(d[k])
print_(format % d)
if self.opts.diskusage:
print_("Total disk-usage:", humanReadableSize(totalDiskusage))