def writeToFile(text):
line = '\n This is %s' % (text) + '\n'
fstream = F.FileWriter(filename, 1)
out = F.BufferedWriter(fstream)
out.newLine()
out.write(line)
out.close()
def writeToFile(text):
line = (strftime("[%Y.%m.%d %H:%M:%S] ")) + (text) + '\n'
fstream = F.FileWriter(filename, 1)
out = F.BufferedWriter(fstream)
out.newLine()
out.write(line)
out.close()
def saveAs(self):
try:
self.chooser.setCurrentDirectory(self.defaultPath)
text = self.gui.editor.getText()
self.chooser.setApproveButtonText("Save File")
returnVal = self.chooser.showSaveDialog(self.gui)
if returnVal == 0: #User has chosen a file, so now it can be saved
#DNR
#file = open(self.chooser.getSelectedFile().getPath(),'w+')
#self.gui.setFileName(self.chooser.getSelectedFile().getName())
#text = text.splitlines(1)
#file.writelines(text)
#self.filename = file.name
#file.close()
#Commented out by AW: Trying to see if using java instead of jython
#gets rid of the newline errors
filePath = self.chooser.getSelectedFile().getPath()
self.filename = os.path.normpath(filePath)
fileWriter = io.FileWriter(filePath, 0)
fileWriter.write(text)
fileWriter.close()
self.defaultPath = self.chooser.getCurrentDirectory()
self.gui.editor.modified = 0
self.gui.setFileName(os.path.basename(self.filename))
self.logBuffer.saveLogFile(self.filename)
#Now write the backup
if JESConfig.getInstance().getBooleanProperty(
JESConfig.CONFIG_BACKUPSAVE):
backupPath = filePath + "bak"
fileWriter = io.FileWriter(backupPath, 0)
fileWriter.write(text)
fileWriter.close()
return 1
except lang.Exception, e:
#TODO - fix
#Error handling for saveAs
e.printStackTrace()
return 0
def saveFile(self):
try:
if self.filename != '':
text = self.gui.editor.getText()
#self.chooser.setCurrentDirectory(self.defaultPath)
#file = open(self.chooser.getSelectedFile().getPath(),'w+')
#David - testing something out
#text = text.splitlines(1)
#file.writelines(text)
#self.filename = file.name
#file.close()
#Commented out by AW: Trying to see if using java instead of jython
#gets rid of the newline errors
filePath = self.chooser.getSelectedFile().getPath()
self.filename = os.path.normpath(filePath)
fileWriter = io.FileWriter(filePath, 0)
fileWriter.write(text)
fileWriter.close()
self.defaultPath = self.chooser.getCurrentDirectory()
self.logBuffer.saveLogFile(self.filename)
self.gui.editor.modified = 0
self.gui.setFileName(os.path.basename(self.filename))
#Now write the backup
if JESConfig.getInstance().getBooleanProperty(
JESConfig.CONFIG_BACKUPSAVE):
backupPath = filePath + "bak"
fileWriter = io.FileWriter(backupPath, 0)
fileWriter.write(text)
fileWriter.close()
return 1
else:
return self.saveAs()
except:
#Error handling for saveFile
return self.saveAs()
username = '******'
password = '******'
# tiene que ser URL de algun Managed Server
URL = 't3://127.0.0.1:7001'
outputDir = '/Users/German/tmp'
# get the date to add to the file name
from datetime import date
today = date.today()
filedate = today.isoformat()
# libraries output saved to this file
libraryOutputFile = outputDir + "/" + "libraries-in-wls-" + filedate + ".txt"
libraryOutputFileWriter = javaio.FileWriter(libraryOutputFile)
# applications output saved to this file
appOutputFile = outputDir + "/" + "app-deployments-in-wls-" + filedate + ".txt"
appOutputFileWriter = javaio.FileWriter(appOutputFile)
"""
---------------------------------------------------------------------
Function to find the libraries
---------------------------------------------------------------------
"""
def getLibraryListing(mbeanPosition):
cd(mbeanPosition)
libraryListing = ls('c', returnMap='true')
print(libraryListing.size())
def base(det, e0, withPoisson, nTraj, dose, sf, bf, name, buildSample, buildParams, xtraParams):
"""base(det, e0, withPoisson, nTraj, dose, sf, bf, name, buildSample, buildParams) represents \
a generic mechanism for Monte Carlo simulation of x-ray spectra. The argument buildSample \
is a method buildSample(monte,origin,buildParams) taking an instance of MonteCarloSS, the \
position of the origin and a dictionary of build parameters. This method should construct \
the sample geometry. The other arguments are the detector, the beam energy (keV), whether \
to add Poisson noise, the number of electron trajectories to simulate, whether to simulate \
characteristic secondary fluorescence and Bremsstrahlung secondary fluorescence, the name \
to assign to the resulting spectrum."""
if e0 < 0.1:
raise "The beam energy must be larger than 0.1 keV."
if nTraj < 1:
raise "The number of electron trajectories must be larger than or equal to 1."
if dose <= 0.0:
raise "The electron dose must be larger than zero."
name = name.strip()
if xtraParams.has_key("Postfix"):
name = "%s - %s" % (name, xtraParams["Postfix"])
# Place the sample at the optimal location for the detector
origin = epq.SpectrumUtils.getSamplePosition(det.getProperties())
# Create a simulator and initialize it
monte = nm.MonteCarloSS()
if xtraParams.has_key("Gun"):
gun = xtraParams["Gun"]
gun.setCenter([0.0, 0.0, -0.099])
monte.setElectronGun(gun)
if xtraParams.has_key("PosX"):
beamX = xtraParams["PosX"]
beamY = xtraParams["PosY"]
beamZ = xtraParams["PosZ"]
beamNM = xtraParams["nmSize"]
beam=nm.GaussianBeam(beamNM*1.0e-9)
beam.setCenter([beamX, beamY, beamZ])
monte.setElectronGun(beam)
chamber = monte.getChamber()
if xtraParams.has_key("VP"):
pathLength, gas = xtraParams["VP"]
dim = 0.5 * nm.MonteCarloSS.ChamberRadius;
dims = epu.Math2.plus(epu.Math2.v3(dim, dim, dim), epu.Math2.z3(2.0 * pathLength))
pt = epu.Math2.plus(origin, epu.Math2.z3(0.5 * dim));
shape = nm.MultiPlaneShape.createBlock(dims, pt, 0.0, 0.0, 0.0);
msm = nm.BasicMaterialModel(gas);
chamber = monte.addSubRegion(chamber, msm, shape);
monte.setBeamEnergy(epq.ToSI.keV(e0))
buildSample(monte, chamber, origin, buildParams)
# Add event listeners to model characteristic radiation
chXR = nm3.CharacteristicXRayGeneration3.create(monte)
xrel = nm3.XRayTransport3.create(monte, det, chXR)
brXR = nm3.BremsstrahlungXRayGeneration3.create(monte)
brem = nm3.XRayTransport3.create(monte, det, brXR)
chSF, brSF, bremFluor, charFluor = None, None, None, None
hasCharAcc = xtraParams.has_key('Characteristic Accumulator') and xtraParams['Characteristic Accumulator']
if sf or hasCharAcc or xtraParams.has_key("Compton"):
charFluor = nm3.FluorescenceXRayGeneration3.create(monte, chXR)
if xtraParams.has_key("Compton"):
charFluor.setIncludeCompton(True)
chSF = nm3.XRayTransport3.create(monte, det, charFluor)
hasBremFluorAcc = xtraParams.has_key('Brem Fluor Accumulator') and xtraParams['Brem Fluor Accumulator']
if bf or hasBremFluorAcc:
bremFluor = nm3.FluorescenceXRayGeneration3.create(monte, brXR)
brSF = nm3.XRayTransport3.create(monte, det, bremFluor)
hasTrans = xtraParams.has_key("Transitions")
if hasTrans:
if xtraParams.has_key("Emission Images"):
eis = []
dim = xtraParams["Emission Images"]
for xrt in xtraParams["Transitions"]:
size = xtraParams["Emission Size"]
ei = nm3.EmissionImage3(size, size, xrt)
xrel.addXRayListener(ei)
if chSF:
chSF.addXRayListener(ei)
if brSF:
brSF.addXRayListener(ei)
ei.setXRange(origin[0] - 0.5 * dim, origin[0] + 0.5 * dim)
ei.setYRange(origin[2] - 0.1 * dim, origin[2] + 0.9 * dim)
eis.append(ei)
if hasCharAcc:
cxra = nm3.XRayAccumulator3(xtraParams["Transitions"], "Characteristic", dose * 1.0e-9)
xrel.addXRayListener(cxra)
hasCharFluorAcc = xtraParams.has_key('Char Fluor Accumulator') and xtraParams['Char Fluor Accumulator']
if hasCharFluorAcc or chSF or sf:
cfxra = nm3.XRayAccumulator3(xtraParams["Transitions"], "Characteristic Fluorescence", dose * 1.0e-9)
chSF.addXRayListener(cfxra)
if hasBremFluorAcc or brSF or bf:
bfxra = nm3.XRayAccumulator3(xtraParams["Transitions"], "Continuum Fluorescence", dose * 1.0e-9)
brSF.addXRayListener(bfxra)
contImgs = []
if xtraParams.has_key('Continuum Images'):
dim = xtraParams['Continuum Images']
size = xtraParams['Continuum Size']
energies = xtraParams['Continuum Energies']
for eMin, eMax in energies:
ci3 = nm3.ContinuumImage3(size, size, epq.ToSI.keV(eMin), epq.ToSI.keV(eMax))
ci3.setXRange(origin[0] - 0.5 * dim, origin[0] + 0.5 * dim)
ci3.setYRange(origin[2] - 0.1 * dim, origin[2] + 0.9 * dim)
brem.addXRayListener(ci3)
contImgs.append(ci3)
doPRZ = xtraParams.has_key("PhiRhoZ")
if doPRZ:
depth = xtraParams["PhiRhoZ"]
prz = nm3.PhiRhoZ3(xrel, origin[2] - 0.1 * depth, origin[2] + 1.1 * depth, 110)
xrel.addXRayListener(prz)
voxelated = xtraParams.has_key('Voxelated')
vox = None
if voxelated:
dim = xtraParams['Voxelated']
gen = xtraParams['GeneratedV']
size = xtraParams['SizeV']
vox = nm3.VoxelatedDetector((origin[0], origin[1], origin[2] - 0.1 * size), (size, size, size), (dim, dim, dim), gen)
xrel.addXRayListener(vox)
doTraj = xtraParams.has_key('Trajectories')
if doTraj:
dim = xtraParams['Trajectories']
size = xtraParams['TrajSize']
ti = nm.TrajectoryImage(size, size, dim)
ti.setXRange(origin[0] - 0.5 * dim, origin[0] + 0.5 * dim)
ti.setYRange(origin[2] - 0.1 * dim, origin[2] + 0.9 * dim)
monte.addActionListener(ti)
defOut = (dtsa2.DefaultOutput if dtsa2.DefaultOutput else dtsa2.reportPath())
do = ("%s\\%s" % (xtraParams["Output"], dtsa2.normalizeFilename(name)) if xtraParams.has_key("Output") else "%s/%s" % (defOut, dtsa2.normalizeFilename(name)))
do = do.replace("\\", "/")
fdo = jio.File(do)
fdo.mkdirs()
doVRML = xtraParams.has_key('VRML')
vrmlWr = None
if doVRML:
vrmlFile = jio.File.createTempFile("vrml", ".wrl", fdo)
print "VRML in " + str(vrmlFile)
vrmlWr = jio.FileWriter(vrmlFile)
vrml = nm.TrajectoryVRML(monte, vrmlWr)
vrml.setDisplayBackscatter(False)
vrml.setDisplayXRayEvent(True)
vrml.setMaxTrajectories(xtraParams['VRML'])
vrml.setTrajectoryWidth(1.0e-9)
vrml.setMaxRadius(1.0)
vrml.setEmissive(True)
vrml.addView("Y-Axis", epu.Math2.plus(origin, (0.0, 5.0e-6, 0.0)), origin)
vrml.addView("Gun", epu.Math2.plus(origin, (0.0, 0.0, -5.0e-6)), origin)
vrml.addView("X-Axis", epu.Math2.plus(origin, (-5.0e-6, 0.0, 0.0)), origin)
vrml.renderSample()
monte.addActionListener(vrml)
scatter = None
if xtraParams.has_key("Scatter"):
scatter = nm.ScatterStats(epq.ToSI.eV(50.0))
monte.addActionListener(scatter)
# Reset the detector and run the electrons
det.reset()
monte.runMultipleTrajectories(nTraj)
# Get the spectrum and assign properties
spec = det.getSpectrum((dose * 1.0e-9) / (nTraj * epq.PhysicalConstants.ElectronCharge))
props = spec.getProperties()
props.setNumericProperty(epq.SpectrumProperties.LiveTime, dose)
props.setNumericProperty(epq.SpectrumProperties.FaradayBegin, 1.0)
props.setNumericProperty(epq.SpectrumProperties.BeamEnergy, e0)
epq.SpectrumUtils.rename(spec, name)
if withPoisson:
spec = epq.SpectrumUtils.addNoiseToSpectrum(spec, 1.0)
printAcc = xtraParams.has_key('Print Accumulators') and xtraParams['Print Accumulators']
if printAcc:
sw0 = jio.StringWriter()
sw = jio.PrintWriter(sw0)
if hasTrans or scatter:
pw = None
if hasCharAcc or (hasBremFluorAcc and bf) or (hasCharFluorAcc and sf) or scatter:
jio.File(do).mkdirs()
pw = jio.PrintWriter("%s/Intensity.csv" % do)
pw.println(name)
if hasCharAcc:
pw.println("Characteristic")
cxra.dump(pw)
if printAcc:
sw.println("Characteristic")
cxra.dump(sw)
if hasBremFluorAcc and brSF and bf:
pw.println("Bremsstrahlung Fluorescence")
bfxra.dump(pw)
if printAcc:
sw.println("Bremsstrahlung Fluorescence")
bfxra.dump(sw)
if hasCharFluorAcc and chSF and sf:
pw.println("Characteristic Fluorescence")
cfxra.dump(pw)
if printAcc:
sw.println("Characteristic Fluorescence")
cfxra.dump(sw)
if printAcc:
print sw0.toString()
sw.close()
sw0.close()
if scatter:
scatter.header(pw)
scatter.dump(pw)
if pw:
pw.close()
imgs = []
if xtraParams.has_key("Emission Images"):
nm3.EmissionImageBase.scaleEmissionImages(eis)
print eis
print do
nm3.EmissionImage3.dumpToFiles(eis, do)
print u"Writing emission images to %s" % do
imgs.extend(eis)
if xtraParams.has_key("Continuum Images"):
imgs.extend(contImgs)
nm3.EmissionImageBase.scaleEmissionImages(imgs)
print contImgs
print do
nm3.ContinuumImage3.dumpToFiles(contImgs, do)
print u"Writing continuum images to %s" % do
if doPRZ:
jio.File(do).mkdirs()
pw = jio.PrintWriter(u"%s/PhiRhoZ.csv" % do)
prz.write(pw)
pw.close()
print u"Writing emission images to %s" % do
if doTraj:
ti.dumpToFile(do)
print u"Writing trajectory images to %s" % do
if vrmlWr:
vrmlWr.close()
if vox:
jio.File(do).mkdirs()
objs = list(vox.getAccumulatorObjects())
xx = {}
for obj in objs:
iio.write(vox.createXZSum(400, obj), "png", jio.File(do, "Voxelated[XZ,Sum][%s].png" % obj))
iio.write(vox.createXYSum(400, obj), "png", jio.File(do, "Voxelated[XY,Sum][%s].png" % obj))
iio.write(vox.createXZView(400, obj), "png", jio.File(do, "Voxelated[XZ, Max][%s].png" % obj))
iio.write(vox.createXYView(400, obj), "png", jio.File(do, "Voxelated[XY, Max][%s].png" % obj))
vox.writeXZPlanar(400, obj, jio.File(do, "Voxilated[XZ,planar,%s].tif" % obj))
vox.writeXYPlanar(400, obj, jio.File(do, "Voxilated[XY,planar,%s].tif" % obj))
for f in (0.1, 0.5, 0.8, 0.9):
iio.write(vox.createXZFraction(400, obj, f), "png", jio.File(do, "Voxelated[XZ,f=%g][%s].png" % (f, obj)))
xx[obj] = vox.createRadialCDF(origin, obj)
hdr = "Radius"
for obj in objs:
hdr = "%s\t%s" % (hdr, obj)
print hdr
first = xx[objs[0]]
for i, (d, f) in enumerate(first):
ln = "%g" % d
for obj in objs:
rcdf = xx[obj][i]
ln = "%s\t%g" % (ln, rcdf[1])
print ln
#if bremFluor:
#print "Stats[Scale] = %s" % bremFluor.getScaleStats()
return dtsa2.wrap(spec)
def run(config):
"""Identifies Configuration Changes"""
admin_name = config.getProperty('wls.admin.name')
log.info("Admin server's name is '" + admin_name + "'")
repodir = config.getProperty('ConfigNOW.home') + "/repository/" + config.getProperty('ConfigNOW.environment') + "/" + config.getProperty('ConfigNOW.configuration') + "/"
# What is todays date
date_today = datetime.now()
current_config = str(date_today.year) + '-' + str(date_today.month) + '-' + str(date_today.day)
# This field may be a date or constant
# Date previous sets an absolute previous date
if config.getProperty('config.date_previous') is not None:
base_config = config.getProperty('config.date_previous')
# Date diff looks for the difference in dates
if config.getProperty('config.date_diff') is not None:
if config.getProperty('config.date_diff') is "previous" or "baseline":
base_config = config.getProperty('config.date_diff')
else:
date_diff = int(config.getProperty('config.date_diff'))
date_N_days_ago = datetime.now() - timedelta(days=date_diff)
base_config = str(date_N_days_ago.year) + '-' + str(date_N_days_ago.month) + '-' + str(date_N_days_ago.day)
__connectAdminServer(config)
serverConfig()
redirect(config.getProperty('java.io.tmpdir') ,'false')
log.info("Walking the configuration tree, depending on the size of your instance this may take some time")
walkTree('/',0)
redirect(config.getProperty('java.io.tmpdir') ,'true')
output_content.sort()
create_repo(repodir,current_config)
# Output the findings from this pass
if output_content is not None and len(output_content) > 0:
outputfw=javaio.FileWriter(repodir + '/' + current_config + '/MBeans.txt')
for line in output_content :
outputfw.write(line + "\r\n")
outputfw.close()
# Also update the previous and baseline as appropiate
if output_content is not None and len(output_content) > 0:
# Also update the previous folder so that this is now counted as the previous run
outputfw=javaio.FileWriter(repodir + '/previous/MBeans.txt')
for line in output_content :
outputfw.write(line + "\r\n")
outputfw.close()
# If there is no baseline file, write it now
if os.path.isfile(repodir + 'baseline/MBeans.txt') is False:
outputfw=javaio.FileWriter(repodir + 'baseline/MBeans.txt')
for line in output_content :
outputfw.write(line + "\r\n")
outputfw.close()
# Do the diff potentially against older releases
diff(current_config, base_config, repodir, "ConfigChanges.html", config.getProperty('ConfigNOW.home') + "/repository/template/report.html", config.getProperty('ConfigNOW.environment'), config.getProperty('ConfigNOW.configuration'))
def writeProject(idx, file):
"""writeQCProject(idx, file)
Write the QC project with the specified index to the specified file."""
wr = jio.FileWriter(file)
d2.Database.writeQCProject(idx, wr)
wr.close()
"""
Check that a Writer can be assigned to sys.stdout.
"""
import support
from java import io
import sys
o = io.FileWriter("test004.out")
sys.stdout = o
print "spam",
f = open("test004.out", "r")
s = f.read(-1)
f.close()
if s != "spam":
raise support.TestError('Wrong redirected stdout ' + ` s `)
# To see the output printed to the console in Network Workbench, use the
# switch "-console" when opening Network Workbench from the command line.
from java import io
print "Here is the value you gave me when you ran the algorithm..."
print sample_attr
print "Here is what I got from CIShell (the graph you highlighted)"
print arg0
graph = arg0
edge_count = graph.getEdgeCount()
print "Here is the number of edges in the graph you provided..."
print edge_count
aFile = io.File("whatever.txt")
writer = io.BufferedWriter(io.FileWriter(aFile))
writer.write(str(edge_count))
writer.close()
print "I will now return the original graph, and the edge count in a file"
aFile = io.File("whatever.txt")
writer = io.BufferedWriter(io.FileWriter(aFile))
writer.write(str(edge_count))
writer.close()
result0 = arg0
result1 = aFile
