def getDefaultPlot(self):
args = str(self.defaultPlot.currentText()).split('_-_')
if len(args) == 2:
return get_plot_manager().new_plot(args[0], args[1])
elif len(args) == 3:
return get_plot_manager().new_plot(args[0], args[1], args[2])
else:
return None
def getDefaultPlot(self):
args = str(self.defaultPlot.currentText()).split('_-_')
if len(args) == 2:
return get_plot_manager().new_plot(args[0], args[1])
elif len(args) == 3:
return get_plot_manager().new_plot(args[0], args[1], args[2])
else:
return None
def load_pipeline_in_location(pipeline, controller, sheetName, row, col,
plot_type, cell):
#for now this helper will change the location in place
#based on the alias dictionary
from core.uvcdat.plotmanager import get_plot_manager
controller.change_selected_version(cell.current_parent_version)
plot_obj = get_plot_manager().get_plot_by_vistrail_version(plot_type,
controller.vistrail,
controller.current_version)
plot_obj.current_parent_version = cell.current_parent_version
plot_obj.current_controller = controller
cell.plots = [plot_obj]
#FIXME: this will always spread the cells in the same row
for j in range(plot_obj.cellnum):
if plot_obj.cells[j].row_name and plot_obj.cells[j].col_name:
pipeline.set_alias_str_value(plot_obj.cells[j].row_name, str(row+1))
pipeline.set_alias_str_value(plot_obj.cells[j].col_name, str(col+1+j))
elif plot_obj.cells[j].address_name:
pipeline.set_alias_str_value(plot_obj.cells[j].address_name,
"%s%s"%(chr(ord('A') + col+j),
row+1))
#this will update the variables
for i in range(plot_obj.varnum):
cell.add_variable(pipeline.get_alias_str_value(plot_obj.vars[i]))
def load_pipeline_in_location(pipeline, controller, sheetName, row, col,
plot_type, cell):
#for now this helper will change the location in place
#based on the alias dictionary
from core.uvcdat.plotmanager import get_plot_manager
controller.change_selected_version(cell.current_parent_version)
plot_obj = get_plot_manager().get_plot_by_vistrail_version(
plot_type, controller.vistrail, controller.current_version)
plot_obj.current_parent_version = cell.current_parent_version
plot_obj.current_controller = controller
cell.plots = [plot_obj]
#FIXME: this will always spread the cells in the same row
for j in range(plot_obj.cellnum):
if plot_obj.cells[j].row_name and plot_obj.cells[j].col_name:
pipeline.set_alias_str_value(plot_obj.cells[j].row_name,
str(row + 1))
pipeline.set_alias_str_value(plot_obj.cells[j].col_name,
str(col + 1 + j))
elif plot_obj.cells[j].address_name:
pipeline.set_alias_str_value(
plot_obj.cells[j].address_name,
"%s%s" % (chr(ord('A') + col + j), row + 1))
#this will update the variables
for i in range(plot_obj.varnum):
cell.add_variable(pipeline.get_alias_str_value(plot_obj.vars[i]))
def create_plot_objs_from_pipeline(pipeline, plot_type):
plot_objs = []
helper = MatplotlibPipelineHelper
# get to from cell?
for plot_module in helper.find_plot_modules(pipeline):
plot_objs.append(get_plot_manager().get_plot('Matplotlib', plot_module.name[3:]))
return plot_objs
def create_plot_objs_from_pipeline(pipeline, plot_type):
plot_objs = []
helper = MatplotlibPipelineHelper
# get to from cell?
for plot_module in helper.find_plot_modules(pipeline):
plot_objs.append(get_plot_manager().get_plot(
'Matplotlib', plot_module.name[3:]))
return plot_objs
def copy_pipeline_to_other_location(pipeline, controller, sheetName, row, col,
plot_type, cell):
#for now this helper will copy the workflow and change the location
#based on the alias dictionary
from core.uvcdat.plotmanager import get_plot_manager
pip_str = core.db.io.serialize(pipeline)
controller.change_selected_version(cell.current_parent_version)
modules = controller.paste_modules_and_connections(pip_str, (0.0,0.0))
cell.current_parent_version = controller.current_version
pipeline = controller.current_pipeline
plot_obj = get_plot_manager().get_plot_by_vistrail_version(plot_type,
controller.vistrail,
controller.current_version)
plot_obj.current_parent_version = cell.current_parent_version
plot_obj.current_controller = controller
cell.plots = [plot_obj]
aliases = {}
for a in pipeline.aliases:
aliases[a] = pipeline.get_alias_str_value(a)
if (plot_obj.serializedConfigAlias and
plot_obj.serializedConfigAlias in aliases):
plot_obj.unserializeAliases(aliases)
#FIXME: this will always spread the cells in the same row
for j in range(plot_obj.cellnum):
if plot_obj.cells[j].row_name and plot_obj.cells[j].col_name:
aliases[plot_obj.cells[j].row_name] = str(row+1)
aliases[plot_obj.cells[j].col_name] = str(col+1+j)
elif plot_obj.cells[j].address_name:
aliases[plot_obj.cells[j].address_name] = "%s%s"%(chr(ord('A') + col+j),
row+1)
actions = plot_obj.applyChanges(aliases)
#this will update the variables
for i in range(plot_obj.varnum):
cell.add_variable(aliases[plot_obj.vars[i]])
#get the most recent action that is not None
if len(actions) > 0:
action = actions.pop()
while action == None and len(actions) > 0:
action = actions.pop()
if action is not None:
cell.current_parent_version = action.id
return action
return None
def copy_pipeline_to_other_location(pipeline, controller, sheetName, row,
col, plot_type, cell):
#for now this helper will copy the workflow and change the location
#based on the alias dictionary
from core.uvcdat.plotmanager import get_plot_manager
pip_str = core.db.io.serialize(pipeline)
controller.change_selected_version(cell.current_parent_version)
modules = controller.paste_modules_and_connections(pip_str, (0.0, 0.0))
cell.current_parent_version = controller.current_version
pipeline = controller.current_pipeline
plot_obj = get_plot_manager().get_plot_by_vistrail_version(
plot_type, controller.vistrail, controller.current_version)
plot_obj.current_parent_version = cell.current_parent_version
plot_obj.current_controller = controller
cell.plots = [plot_obj]
aliases = {}
for a in pipeline.aliases:
aliases[a] = pipeline.get_alias_str_value(a)
if (plot_obj.serializedConfigAlias
and plot_obj.serializedConfigAlias in aliases):
plot_obj.unserializeAliases(aliases)
#FIXME: this will always spread the cells in the same row
for j in range(plot_obj.cellnum):
if plot_obj.cells[j].row_name and plot_obj.cells[j].col_name:
aliases[plot_obj.cells[j].row_name] = str(row + 1)
aliases[plot_obj.cells[j].col_name] = str(col + 1 + j)
elif plot_obj.cells[j].address_name:
aliases[plot_obj.cells[j].address_name] = "%s%s" % (
chr(ord('A') + col + j), row + 1)
actions = plot_obj.applyChanges(aliases)
#this will update the variables
for i in range(plot_obj.varnum):
cell.add_variable(aliases[plot_obj.vars[i]])
#get the most recent action that is not None
if len(actions) > 0:
action = actions.pop()
while action == None and len(actions) > 0:
action = actions.pop()
if action is not None:
cell.current_parent_version = action.id
return action
return None
def get_plot_by_vistrail_version(plot_type, vistrail, version):
from core.uvcdat.plotmanager import get_plot_manager
plots = get_plot_manager()._plot_list[plot_type]
vistrail_a = vistrail
version_a = version
if vistrail_a is None or version_a <= 0:
return None
pipeline = vistrail.getPipeline(version)
for pl in plots.itervalues():
vistrail_b = pl.plot_vistrail
version_b = pl.workflow_version
if vistrail_b is not None and version_b > 0:
if (MatplotlibPipelineHelper.are_workflows_compatible(
vistrail_a, vistrail_b, version_a, version_b)
and len(pipeline.aliases) == len(pl.workflow.aliases)):
return pl
return None
def get_plot_by_vistrail_version(plot_type, vistrail, version):
from core.uvcdat.plotmanager import get_plot_manager
plots = get_plot_manager()._plot_list[plot_type]
vistrail_a = vistrail
version_a = version
if vistrail_a is None or version_a <=0:
return None
pipeline = vistrail.getPipeline(version)
for pl in plots.itervalues():
vistrail_b = pl.plot_vistrail
version_b = pl.workflow_version
if vistrail_b is not None and version_b > 0:
if (MatplotlibPipelineHelper.are_workflows_compatible(vistrail_a, vistrail_b,
version_a, version_b) and
len(pipeline.aliases) == len(pl.workflow.aliases)):
return pl
return None
def setupDefaultPlotOptions(self):
plotOptions = ["None"]
currentIndex = 0
i = 1
plotList = get_plot_manager()._plot_list
for package in plotList:
for plot in plotList[package]:
if type(plotList[package][plot]) is dict:
for method in plotList[package][plot]:
item = "%s_-_%s_-_%s" % (package, plot, method)
plotOptions.append(item)
if item == customizeUVCDAT.defaultPlot:
currentIndex = i
i+=1
else:
item = "%s_-_%s" % (package, plot)
plotOptions.append(item)
if item == customizeUVCDAT.defaultPlot:
currentIndex = i
i+=1
self.defaultPlot.addItems(plotOptions)
self.defaultPlot.setCurrentIndex(currentIndex)
def setupDefaultPlotOptions(self):
plotOptions = ["None"]
currentIndex = 0
i = 1
plotList = get_plot_manager()._plot_list
for package in plotList:
for plot in plotList[package]:
if type(plotList[package][plot]) is dict:
for method in plotList[package][plot]:
item = "%s_-_%s_-_%s" % (package, plot, method)
plotOptions.append(item)
if item == customizeUVCDAT.defaultPlot:
currentIndex = i
i += 1
else:
item = "%s_-_%s" % (package, plot)
plotOptions.append(item)
if item == customizeUVCDAT.defaultPlot:
currentIndex = i
i += 1
self.defaultPlot.addItems(plotOptions)
self.defaultPlot.setCurrentIndex(currentIndex)
def remove_plot(self, plot):
try:
get_plot_manager().remove_plot_instance(plot)
self.plots.remove(plot)
except ValueError, err:
print >> sys.stderr, " -- Error Removing plot (probably removing the plot more then once from the same list)-- "
def remove_plot(self, plot):
try:
get_plot_manager().remove_plot_instance(plot)
self.plots.remove(plot)
except ValueError, err:
print>>sys.stderr, " -- Error Removing plot (probably removing the plot more then once from the same list)-- "
