def _setupPPJobStats(self):
from xpaxs.dispatch.ppjobstats import PPJobStats
self.ppJobStats = PPJobStats()
self.ppJobStatsDock = self._createDockWindow('PPJobStatsDock')
self._setupDockWindow(self.ppJobStatsDock,
QtCore.Qt.RightDockWidgetArea,
self.ppJobStats, 'Analysis Server Stats')
class McaAnalysisWindow(Ui_McaAnalysisWindow, AnalysisWindow):
"""
"""
@property
def n_points(self):
return self._n_points
# TODO: this should eventually take an MCA entry
def __init__(self, scan_data, parent=None):
super(McaAnalysisWindow, self).__init__(parent)
self.analysisThread = None
if isinstance(scan_data, phynx.Entry):
self.scan_data = scan_data.measurement
elif isinstance(scan_data, phynx.Measurement):
self.scan_data = scan_data
elif isinstance(scan_data, phynx.MultiChannelAnalyzer):
self.scan_data = scan_data
else:
with scan_data.plock:
raise TypeError(
'H5 node type %s not recognized by McaAnalysisWindow'
% scan_data.__class__.__name__
)
self._n_points = scan_data.npoints
pymcaConfig = self.scan_data.pymca_config
self.setupUi(self)
title = '%s: %s: %s'%(
posixpath.split(scan_data.file.filename)[-1],
posixpath.split(getattr(scan_data.entry, 'name', ''))[-1],
posixpath.split(self.scan_data.name)[-1]
)
self.setWindowTitle(title)
self.elementsView = ElementsView(self.scan_data, self)
self.splitter.addWidget(self.elementsView)
self.xrfBandComboBox.addItems(self.availableElements)
try:
self.deadTimeReport.setText(
str(self.scan_data.mcas.values()[0]['dead_time'].format)
)
except phynx.H5Error:
self.deadTimeReport.setText('Not found')
self._setupMcaDockWindows()
self._setupPPJobStats()
plotOptions = self.elementsView.plotOptions
self.optionsWidgetVLayout.insertWidget(1, plotOptions)
self.connect(
self.elementsView,
QtCore.SIGNAL("pickEvent"),
self.processAverageSpectrum
)
# TODO: remove the window from the list of open windows when we close
# self.connect(scanView, QtCore.SIGNAL("scanClosed"), self.scanClosed)
self.fitParamDlg = FitParamDialog(parent=self)
if pymcaConfig:
self.fitParamDlg.setParameters(pymcaConfig)
self.spectrumAnalysis.configure(pymcaConfig)
else:
self.configurePymca()
try:
eff = self.scan_data.measurement.mcas.values()[0].monitor.efficiency
self.monitorEfficiency.setText(str(eff))
self.monitorEfficiency.setEnabled(True)
except AttributeError:
pass
self.progressBar = QtGui.QProgressBar(self)
self.progressBar.setMaximumHeight(17)
self.progressBar.hide()
self.progressBar.addAction(self.actionAbort)
self.progressBar.setContextMenuPolicy(QtCore.Qt.ActionsContextMenu)
self.progress_queue = Queue.Queue()
self.timer = QtCore.QTimer(self)
self.connect(
self.timer,
QtCore.SIGNAL('timeout()'),
self.update
)
self.elementsView.updateFigure()
self._restoreSettings()
@property
def availableElements(self):
try:
return sorted(
self.scan_data['element_maps'].fits.keys()
)
except (phynx.H5Error, AttributeError):
return []
@property
def deadTimePercent(self):
return str(self.deadTimeComboBox.currentText())
@property
def mapType(self):
return str(self.mapTypeComboBox.currentText()).lower().replace(' ', '_')
@property
def normalization(self):
return str(self.normalizationComboBox.currentText())
@property
def xrfBand(self):
return str(self.xrfBandComboBox.currentText())
@property
def pymcaConfig(self):
return self.fitParamDlg.getParameters()
def _setupMcaDockWindows(self):
from .mcaspectrum import McaSpectrum
from PyMca.ConcentrationsWidget import Concentrations
self.concentrationsAnalysisDock = \
self._createDockWindow('ConcentrationAnalysisDock')
self.concentrationsAnalysis = Concentrations()
self._setupDockWindow(
self.concentrationsAnalysisDock,
QtCore.Qt.BottomDockWidgetArea,
self.concentrationsAnalysis,
'Concentrations Analysis'
)
self.spectrumAnalysisDock = \
self._createDockWindow('SpectrumAnalysisDock')
self.spectrumAnalysis = McaSpectrum(self.concentrationsAnalysis)
self._setupDockWindow(
self.spectrumAnalysisDock,
QtCore.Qt.BottomDockWidgetArea,
self.spectrumAnalysis,
'Spectrum Analysis'
)
def _setupPPJobStats(self):
from xpaxs.dispatch.ppjobstats import PPJobStats
self.ppJobStats = PPJobStats()
self.ppJobStatsDock = self._createDockWindow('PPJobStatsDock')
self._setupDockWindow(self.ppJobStatsDock,
QtCore.Qt.RightDockWidgetArea,
self.ppJobStats, 'Analysis Server Stats')
@QtCore.pyqtSignature("bool")
def on_actionAbort_triggered(self):
try:
self.analysisThread.stop()
except AttributeError:
pass
@QtCore.pyqtSignature("bool")
def on_actionAnalyzeSpectra_triggered(self):
self.processData()
@QtCore.pyqtSignature("bool")
def on_actionConfigurePymca_triggered(self):
self.configurePymca()
@QtCore.pyqtSignature("bool")
def on_actionCalibration_triggered(self):
self.processAverageSpectrum()
@QtCore.pyqtSignature("QString")
def on_mapTypeComboBox_currentIndexChanged(self):
self.elementsView.updateFigure(self.getElementMap())
@QtCore.pyqtSignature("")
def on_monitorEfficiency_editingFinished(self):
try:
value = float(self.monitorEfficiency.text())
assert (0 < value <= 1)
for mca in self.scan_data.measurement.mcas.values():
mca.monitor.efficiency = value
except (ValueError, AssertionError):
self.monitorEfficiency.setText(
str(self.scan_data.measurement.mcas.values()[0].monitor.efficiency)
)
@QtCore.pyqtSignature("QString")
def on_xrfBandComboBox_currentIndexChanged(self):
self.elementsView.updateFigure(self.getElementMap())
def closeEvent(self, event):
if self.analysisThread:
self.showNormal()
self.raise_()
warning = '''Data analysis is not yet complete.
Are you sure you want to close?'''
res = QtGui.QMessageBox.question(self, 'closing...', warning,
QtGui.QMessageBox.Yes,
QtGui.QMessageBox.No)
if res == QtGui.QMessageBox.Yes:
if self.analysisThread:
self.analysisThread.stop()
self.analysisThread.join()
#QtGui.qApp.processEvents()
else:
event.ignore()
return
AnalysisWindow.closeEvent(self, event)
event.accept()
def configurePymca(self):
if self.fitParamDlg.exec_():
#QtGui.qApp.processEvents()
self.statusbar.showMessage('Reconfiguring PyMca ...')
configDict = self.fitParamDlg.getParameters()
self.spectrumAnalysis.configure(configDict)
self.scan_data.pymca_config = configDict
self.statusbar.clearMessage()
def elementMapUpdated(self):
self.elementsView.updateFigure(self.getElementMap())
#QtGui.qApp.processEvents()
def getElementMap(self, mapType=None, element=None):
if element is None: element = self.xrfBand
if mapType is None: mapType = self.mapType
if mapType and element:
try:
entry = '%s_%s'%(element, mapType)
with self.scan_data.plock:
return self.scan_data['element_maps'][entry].map
except phynx.H5Error:
return np.zeros(self.scan_data.acquisition_shape)
else:
return np.zeros(self.scan_data.acquisition_shape, dtype='f')
def initializeElementMaps(self, elements):
with self.scan_data.plock:
if 'element_maps' in self.scan_data.measurement:
del self.scan_data['element_maps']
elementMaps = self.scan_data.create_group(
'element_maps', type='ElementMaps'
)
for mapType, cls in [
('fit', 'Fit'),
('fit_error', 'FitError'),
('mass_fraction', 'MassFraction')
]:
for element in elements:
entry = '%s_%s'%(element, mapType)
elementMaps.create_dataset(
entry,
type=cls,
data=np.zeros(self.scan_data.npoints, 'f')
)
def processAverageSpectrum(self, indices=None):
if indices is None:
indices = np.arange(self.scan_data.measurement.acquired)
n_indices = len(indices)
if n_indices:
masked = self.scan_data.measurement.masked[...][indices]
indices = indices[np.logical_not(masked)]
n_indices = len(indices)
if n_indices:
self.statusbar.showMessage('Averaging spectra ...')
#QtGui.qApp.processEvents()
try:
# looking at individual element
monitor = self.scan_data.monitor.corrected_value
mon0 = monitor[indices[0]]
channels = self.scan_data.channels
counts = channels.astype('float32') * 0
dataset = self.scan_data['counts'].corrected_value
for i in indices:
counts += dataset[i] / n_indices * (monitor[i]/mon0)
except AttributeError:
# looking at multiple elements
mcas = self.scan_data.mcas.values()
monitor = mcas[0].monitor.corrected_value
mon0 = monitor[indices[0]]
channels = mcas[0].channels
counts = channels.astype('float32') * 0
for mca in mcas:
dataset = mca['counts'].corrected_value
for i in indices:
counts += dataset[i] / n_indices * (monitor[i]/mon0)
self.spectrumAnalysis.setData(x=channels, y=counts)
self.statusbar.showMessage('Performing Fit ...')
#QtGui.qApp.processEvents()
##update spectrum analysis with flux from mon0!
self.spectrumAnalysis.mcafit.config['concentrations']['flux'] = mon0
self.spectrumAnalysis.mcafit.config['concentrations']['time'] = 1
fitresult = self.spectrumAnalysis.fit()
self.fitParamDlg.setFitResult(fitresult['result'])
self.statusbar.clearMessage()
self.setMenuToolsActionsEnabled(True)
def processComplete(self):
self.progressBar.hide()
self.progressBar.reset()
self.statusbar.removeWidget(self.progressBar)
self.statusbar.clearMessage()
self.timer.stop()
self.analysisThread = None
self.setMenuToolsActionsEnabled(True)
self.elementMapUpdated()
def processData(self):
from .pptaskmanager import XfsPPTaskManager
self.setMenuToolsActionsEnabled(False)
self._resetPeaks()
settings = QtCore.QSettings()
settings.beginGroup('PPJobServers')
n_local_processes, ok = settings.value(
'LocalProcesses', QtCore.QVariant(1)
).toInt()
thread = XfsPPTaskManager(
self.scan_data,
copy.deepcopy(self.pymcaConfig),
self.progress_queue,
n_local_processes=n_local_processes
)
# self.connect(
# thread,
# QtCore.SIGNAL('dataProcessed'),
# self.elementMapUpdated
# )
# self.connect(
# thread,
# QtCore.SIGNAL('ppJobStats'),
# self.ppJobStats.updateTable
# )
# self.connect(
# thread,
# QtCore.SIGNAL("finished()"),
# self.processComplete
# )
# self.connect(
# thread,
# QtCore.SIGNAL('percentComplete'),
# self.progressBar.setValue
# )
self.connect(
self.actionAbort,
QtCore.SIGNAL('triggered(bool)'),
self.abort,
#thread.stop
)
self.statusbar.showMessage('Analyzing spectra ...')
self.statusbar.addPermanentWidget(self.progressBar)
self.progressBar.show()
self.analysisThread = thread
thread.start()
self.timer.start(1000)
def abort(self):
self.analysisThread.stop()
self.processComplete()
def update(self):
item = None
while True:
try:
item = self.progress_queue.get(False)
except Queue.Empty:
break
if item is None:
return
self.elementMapUpdated()
n_processed = item.pop('n_processed')
progress = int((100.0 * n_processed) / self.n_points)
self.progressBar.setValue(progress)
self.ppJobStats.updateTable(item)
if n_processed >= self.n_points:
self.processComplete()
def _resetPeaks(self):
peaks = []
for el, edges in self.pymcaConfig['peaks'].iteritems():
for edge in edges:
name = '_'.join([el, edge])
peaks.append(name)
peaks.sort()
self.initializeElementMaps(peaks)
self.xrfBandComboBox.clear()
self.xrfBandComboBox.addItems(peaks)
def setMenuToolsActionsEnabled(self, enabled=True):
self.actionAnalyzeSpectra.setEnabled(enabled)
self.actionConfigurePymca.setEnabled(enabled)
self.actionCalibration.setEnabled(enabled)
@classmethod
def offersService(cls, h5Node):
return isinstance(
h5Node, (phynx.Entry, phynx.Measurement, phynx.MultiChannelAnalyzer)
)
