def __init__(self, database, main_spectrum=None):
super(ReferenceSpectraDialog, self).__init__()
self.main_spectrum = main_spectrum
self.ui = Ui_ReferenceSpectraDialog()
self.ui.setupUi(self)
self.reference_catalogues = ReferenceCatalogues(database)
self.full_model = QStandardItemModel()
self.catalogues_model = QStandardItemModel()
self.ui.catalogue.setModel(self.catalogues_model)
self.ui.catalogue.currentTextChanged.connect(
lambda txt: self.populate())
for catname, cat in self.reference_catalogues.catalogues.items():
row = QStandardItem(catname)
row.setData(cat)
self.catalogues_model.appendRow(row)
self.model = QSortFilterProxyModel()
self.model.setSourceModel(self.full_model)
self.model.setFilterCaseSensitivity(Qt.CaseInsensitive)
self.model.setFilterKeyColumn(0)
self.ui.entries.setModel(self.model)
self.ui.type_filter.currentTextChanged.connect(
lambda txt: self.model.setFilterWildcard("{}*".format(txt)))
self.ui.buttonBox.button(QDialogButtonBox.Open).setEnabled(False)
self.ui.entries.selectionModel().selectionChanged.connect(
lambda selected, deselected: self.ui.buttonBox.button(
QDialogButtonBox.Open).setEnabled(len(selected.indexes()) > 0))
self.accepted.connect(self.load_fits)
self.populate()
def __init__(self, database, main_spectrum = None):
super(ReferenceSpectraDialog, self).__init__()
self.main_spectrum = main_spectrum
self.ui = Ui_ReferenceSpectraDialog()
self.ui.setupUi(self)
self.reference_catalogues = ReferenceCatalogues(database)
self.full_model = QStandardItemModel()
self.catalogues_model = QStandardItemModel()
self.ui.catalogue.setModel(self.catalogues_model)
self.ui.catalogue.currentTextChanged.connect(lambda txt: self.populate())
for catname, cat in self.reference_catalogues.catalogues.items():
row = QStandardItem(catname)
row.setData(cat)
self.catalogues_model.appendRow(row)
self.model = QSortFilterProxyModel()
self.model.setSourceModel(self.full_model)
self.model.setFilterCaseSensitivity(Qt.CaseInsensitive)
self.model.setFilterKeyColumn(0)
self.ui.entries.setModel(self.model)
self.ui.type_filter.currentTextChanged.connect(lambda txt: self.model.setFilterWildcard("{}*".format(txt) ) )
self.ui.buttonBox.button(QDialogButtonBox.Open).setEnabled(False)
self.ui.entries.selectionModel().selectionChanged.connect(lambda selected, deselected: self.ui.buttonBox.button(QDialogButtonBox.Open).setEnabled(len(selected.indexes()) > 0) )
self.accepted.connect(self.load_fits)
self.populate()
class ReferenceSpectraDialog(QDialog):
fits_picked = pyqtSignal(str)
def __init__(self, database, main_spectrum=None):
super(ReferenceSpectraDialog, self).__init__()
self.main_spectrum = main_spectrum
self.ui = Ui_ReferenceSpectraDialog()
self.ui.setupUi(self)
self.reference_catalogues = ReferenceCatalogues(database)
self.full_model = QStandardItemModel()
self.catalogues_model = QStandardItemModel()
self.ui.catalogue.setModel(self.catalogues_model)
self.ui.catalogue.currentTextChanged.connect(
lambda txt: self.populate())
for catname, cat in self.reference_catalogues.catalogues.items():
row = QStandardItem(catname)
row.setData(cat)
self.catalogues_model.appendRow(row)
self.model = QSortFilterProxyModel()
self.model.setSourceModel(self.full_model)
self.model.setFilterCaseSensitivity(Qt.CaseInsensitive)
self.model.setFilterKeyColumn(0)
self.ui.entries.setModel(self.model)
self.ui.type_filter.currentTextChanged.connect(
lambda txt: self.model.setFilterWildcard("{}*".format(txt)))
self.ui.buttonBox.button(QDialogButtonBox.Open).setEnabled(False)
self.ui.entries.selectionModel().selectionChanged.connect(
lambda selected, deselected: self.ui.buttonBox.button(
QDialogButtonBox.Open).setEnabled(len(selected.indexes()) > 0))
self.accepted.connect(self.load_fits)
self.populate()
def set_main_spectrum(self, spectrum):
self.main_spectrum = spectrum
def populate(self):
self.full_model.clear()
catalogue = self.catalogues_model.item(
self.ui.catalogue.currentIndex()).data()
self.full_model.setHorizontalHeaderLabels(['Spectral Type'])
entries = self.reference_catalogues.spectra(catalogue['name'])
self.ui.type_filter.clear()
self.ui.type_filter.addItem('')
self.ui.type_filter.addItems(
sorted(set([i['sptype'] for i in entries])))
for entry in entries:
item = QStandardItem(entry['sptype'])
item.setData(entry)
self.full_model.appendRow(item)
def load_fits(self):
original_index = self.model.mapToSource(
self.ui.entries.selectionModel().selectedIndexes()[0])
entry = self.full_model.item(original_index.row()).data()
self.fits_picked.emit(self.reference_catalogues.fits(entry))
def setup_menu(self, toolbar, axes, settings):
self.current_line = None
reference_action = QtCommons.addToolbarPopup(toolbar, "Reference")
reference_action.menu().addAction("Reference library",
lambda: self.show())
reference_action.menu().addAction(
"Load from FITS file", lambda: open_file_sticky(
'Open Reference Profile', FITS_EXTS, lambda f: self.
__open_reference(f[0], axes), settings, REFERENCE))
self.close_action = reference_action.menu().addAction(
"Close", lambda: self.__close_reference(axes))
self.close_action.setEnabled(False)
self.fits_picked.connect(lambda f: self.__open_reference(f, axes))
self.blackbody_menu = blackbody.BlackBodyAction(
lambda bb: self.blackbody(bb, axes), reference_action.menu())
return reference_action.menu()
def blackbody(self, blackbody, axes):
self.__open(blackbody.spectrum(), axes)
def __open_reference(self, file, axes):
fits_spectrum = FitsSpectrum(fits.open(file))
self.__open(fits_spectrum.spectrum, axes)
def __open(self, spectrum, axes):
self.__close_reference(axes)
if spectrum.dispersion() < 0.4 and spectrum.dispersion() > 0:
spectrum.resample(spectrum.dispersion() / 0.4)
if (self.main_spectrum):
print("Cutting spectrum: {0}, {1}".format(
self.main_spectrum.wavelengths[0],
self.main_spectrum.wavelengths[-1]))
spectrum.cut_lambda(self.main_spectrum.wavelengths[0],
self.main_spectrum.wavelengths[-1])
spectrum.normalize_to_max()
self.current_line = Line2D(spectrum.wavelengths,
spectrum.fluxes,
color='gray')
axes.add_line(self.current_line)
axes.figure.canvas.draw()
self.close_action.setEnabled(True)
def __close_reference(self, axes):
self.close_action.setEnabled(False)
if self.current_line:
try: # TODO: verify
self.current_line.remove()
self.current_line = None
axes.figure.canvas.draw()
except:
pass
class ReferenceSpectraDialog(QDialog):
fits_picked = pyqtSignal(str)
def __init__(self, database, main_spectrum = None):
super(ReferenceSpectraDialog, self).__init__()
self.main_spectrum = main_spectrum
self.ui = Ui_ReferenceSpectraDialog()
self.ui.setupUi(self)
self.reference_catalogues = ReferenceCatalogues(database)
self.full_model = QStandardItemModel()
self.catalogues_model = QStandardItemModel()
self.ui.catalogue.setModel(self.catalogues_model)
self.ui.catalogue.currentTextChanged.connect(lambda txt: self.populate())
for catname, cat in self.reference_catalogues.catalogues.items():
row = QStandardItem(catname)
row.setData(cat)
self.catalogues_model.appendRow(row)
self.model = QSortFilterProxyModel()
self.model.setSourceModel(self.full_model)
self.model.setFilterCaseSensitivity(Qt.CaseInsensitive)
self.model.setFilterKeyColumn(0)
self.ui.entries.setModel(self.model)
self.ui.type_filter.currentTextChanged.connect(lambda txt: self.model.setFilterWildcard("{}*".format(txt) ) )
self.ui.buttonBox.button(QDialogButtonBox.Open).setEnabled(False)
self.ui.entries.selectionModel().selectionChanged.connect(lambda selected, deselected: self.ui.buttonBox.button(QDialogButtonBox.Open).setEnabled(len(selected.indexes()) > 0) )
self.accepted.connect(self.load_fits)
self.populate()
def set_main_spectrum(self, spectrum):
self.main_spectrum = spectrum
def populate(self):
self.full_model.clear()
catalogue = self.catalogues_model.item(self.ui.catalogue.currentIndex()).data()
self.full_model.setHorizontalHeaderLabels(['Spectral Type'])
entries = self.reference_catalogues.spectra(catalogue['name'])
self.ui.type_filter.clear()
self.ui.type_filter.addItem('')
self.ui.type_filter.addItems( sorted(set([i['sptype'] for i in entries])) )
for entry in entries:
item = QStandardItem(entry['sptype'])
item.setData(entry)
self.full_model.appendRow(item)
def load_fits(self):
original_index = self.model.mapToSource(self.ui.entries.selectionModel().selectedIndexes()[0])
entry = self.full_model.item(original_index.row()).data()
self.fits_picked.emit(self.reference_catalogues.fits(entry))
def setup_menu(self, toolbar, axes, settings):
self.current_line = None
reference_action = QtCommons.addToolbarPopup(toolbar, "Reference")
reference_action.menu().addAction("Reference library", lambda: self.show())
reference_action.menu().addAction("Load from FITS file", lambda: open_file_sticky('Open Reference Profile', FITS_EXTS, lambda f: self.__open_reference(f[0], axes), settings, REFERENCE ))
self.close_action = reference_action.menu().addAction("Close", lambda: self.__close_reference(axes))
self.close_action.setEnabled(False)
self.fits_picked.connect(lambda f: self.__open_reference(f, axes))
self.blackbody_menu = blackbody.BlackBodyAction(lambda bb: self.blackbody(bb, axes), reference_action.menu())
return reference_action.menu()
def blackbody(self, blackbody, axes):
self.__open(blackbody.spectrum(), axes)
def __open_reference(self, file, axes):
fits_spectrum = FitsSpectrum(fits.open(file))
self.__open(fits_spectrum.spectrum, axes)
def __open(self, spectrum, axes):
self.__close_reference(axes)
if spectrum.dispersion() < 0.4 and spectrum.dispersion() > 0:
spectrum.resample(spectrum.dispersion() /0.4)
if(self.main_spectrum):
print("Cutting spectrum: {0}, {1}".format(self.main_spectrum.wavelengths[0], self.main_spectrum.wavelengths[-1]))
spectrum.cut_lambda(self.main_spectrum.wavelengths[0], self.main_spectrum.wavelengths[-1])
spectrum.normalize_to_max()
self.current_line = Line2D(spectrum.wavelengths, spectrum.fluxes, color='gray')
axes.add_line(self.current_line)
axes.figure.canvas.draw()
self.close_action.setEnabled(True)
def __close_reference(self, axes):
self.close_action.setEnabled(False)
if self.current_line:
try: # TODO: verify
self.current_line.remove()
self.current_line = None
axes.figure.canvas.draw()
except:
pass
