def load_sets(self, directory):
for fn in glob.glob(directory + '/*.set'):
print 'Loading {0}...'.format(fn)
with open(fn, 'r') as fp:
self._channelsets.append(
ChannelSet.from_file(utils.get_filename_without_ext(fn),
fp))
def load_sets(self, directory):
for fn in glob.glob(directory+'/*.set'):
print 'Loading {0}...'.format(fn)
with open(fn, 'r') as fp:
self._channelsets.append(
ChannelSet.from_file(utils.get_filename_without_ext(fn), fp)
)
def load_models_from_files(self):
models = []
directory = self.get_ini_directory()
if not directory:
QMessageBox.critical(self, 'Unable to locate DAQ channels',
('Please set the environmental variable {0} to '+
'the directory which contains the DAQ .ini files.').format(
self.ENV_CDS_DAQ_CHANS))
else:
for fn in glob.glob(directory+'/*.ini'):
print 'Loading {0}...'.format(fn)
with open(fn, 'rb') as ini:
dm = daqmodel.DAQModel.from_ini(
utils.get_filename_without_ext(fn), ini)
if dm:
models.append(dm)
return models
def load_models_from_files(self):
models = []
directory = self.get_ini_directory()
if not directory:
QMessageBox.critical(
self, 'Unable to locate DAQ channels',
('Please set the environmental variable {0} to ' +
'the directory which contains the DAQ .ini files.').format(
self.ENV_CDS_DAQ_CHANS))
else:
for fn in glob.glob(directory + '/*.ini'):
print 'Loading {0}...'.format(fn)
with open(fn, 'rb') as ini:
dm = daqmodel.DAQModel.from_ini(
utils.get_filename_without_ext(fn), ini)
if dm:
models.append(dm)
return models
def load_models_from_files(self):
# TODO: automatically load these, based on ENV variable or so
models = []
directory = self.get_ini_directory()
if not directory:
QMessageBox.critical(
self,
"Unable to locate DAQ channels",
(
"Please set the environmental variable {0} to " + "the directory which contains the DAQ .ini files."
).format(self.ENV_CDS_DAQ_CHANS),
)
else:
for fn in glob.glob(directory + "/*.ini"):
print "Loading {0}...".format(fn)
with open(fn, "rb") as ini:
dm = daqmodel.DAQModel.from_ini(utils.get_filename_without_ext(fn), ini)
if dm:
models.append(dm)
return models
