def _onEditParsAction(self):
row = self.ui.curvesTable.currentIndex().row()
if row >= 0:
c = self.model.curves[row]
params = [p for p in (c.curveparam, c.axesparam,
c.taurusparam) if p is not None]
if params:
from guidata.dataset.datatypes import DataSetGroup
group = DataSetGroup(
params, "Parameters for curve %s" % c.curveparam.label)
group.edit()
c.x.processSrc(c.taurusparam.xModel)
c.y.processSrc(c.taurusparam.yModel)
self.dataChanged.emit(self.model.index(
row, 0), self.model.index(row, self.model.rowCount()))
def _onEditParsAction(self):
row = self.ui.curvesTable.currentIndex().row()
if row >= 0:
c = self.model.curves[row]
params = [p for p in (c.curveparam, c.axesparam,
c.taurusparam) if p is not None]
if params:
from guidata.dataset.datatypes import DataSetGroup
group = DataSetGroup(
params, "Parameters for curve %s" % c.curveparam.label)
group.edit()
c.x.processSrc(c.taurusparam.xModel)
c.y.processSrc(c.taurusparam.yModel)
self.dataChanged.emit(
self.model.index(row, 0),
self.model.index(row, self.model.rowCount() - 1)
)
def gui_config(remove_prefixes=['_']):
shell = get_core_plugin().shell
datasets = []
all_items = {}
for configurable in sorted(shell.configurables,
key=lambda c: c.__class__.__name__):
items = {}
conf_name = configurable.__class__.__name__
for name, trait in configurable.traits().items():
skip = False
for prefix in remove_prefixes:
if name.startswith(prefix):
skip = True
break
if not skip:
mapped = map_trait(configurable, name, trait)
if mapped is not None:
item_key = '%s.%s' % (conf_name, name)
items[item_key] = mapped
all_items[item_key] = mapped
if items:
ds_class = type(conf_name, (dt.DataSet,), items)
datasets.append(ds_class())
app = guidata.qapplication() # <-- this already checks if one exists
group = DataSetGroup(datasets, title='ECLI Configuration')
group.edit()
#for ds in datasets:
# print('------------- %s ---------------' % (ds.__class__.__name__, ))
# print(ds)
# print()
# print()
for key, item in all_items.items():
print(key, item)
#return datasets
return all_items
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guidata/__init__.py for details)
"""
DataSetGroup demo
DataSet objects may be grouped into DataSetGroup, allowing them to be edited
in a single dialog box (with one tab per DataSet object).
"""
from __future__ import print_function
SHOW = True # Show test in GUI-based test launcher
from guidata.tests.all_features import TestParameters
from guidata.dataset.datatypes import DataSetGroup
if __name__ == "__main__":
# Create QApplication
import guidata
_app = guidata.qapplication()
e1 = TestParameters("DataSet #1")
e2 = TestParameters("DataSet #2")
g = DataSetGroup([e1, e2], title='Parameters group')
g.edit()
print(e1)
g.edit()
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guidata/__init__.py for details)
"""
DataSetGroup demo
DataSet objects may be grouped into DataSetGroup, allowing them to be edited
in a single dialog box (with one tab per DataSet object).
"""
from __future__ import print_function
SHOW = True # Show test in GUI-based test launcher
from guidata.tests.all_features import TestParameters
from guidata.dataset.datatypes import DataSetGroup
if __name__ == "__main__":
# Create QApplication
import guidata
_app = guidata.qapplication()
e1 = TestParameters("DataSet #1")
e2 = TestParameters("DataSet #2")
g = DataSetGroup( [e1, e2], title='Parameters group' )
g.edit()
print(e1)
g.edit()
class RunWorkflows(DataSet):
"""
My Home analysis
*tab1 includes stock market analysis, identifier is name of stock, check out metadata.
"""
if __name__ == "__main__":
# prepare the gui app
import guidata
_app = guidata.qapplication()
# e = RunWorkflows()
e1 = first_tab("Stock Market")
e = DataSetGroup([e1], title='Home Analysis')
# show the gui and proceed further if the user presses OK.
if e.edit():
# file with session to analyze
experiments_to_analyze = e1.experiments_to_analyze
if e1.sleep_hours:
print("Sleeping for %s hours" % str(e1.sleep_hours))
stime = e1.sleep_hours * 60 * 60
sleep(stime)
# import all the stuff we need from freely moving
import logging
from StockMarket_analysis.data_upload.workflow import workflow
# let's log options introduced by the user
curlogger = logging.getLogger()
