def __populate_tabs_from_workflow(burst_entity, workflow):
"""
Given a burst and a workflow populate the tabs of the burst with the PortletConfigurations
generated from the steps of the workflow.
"""
visualizers = dao.get_visualization_steps(workflow.id)
for entry in visualizers:
## For each visualize step, also load all of the analyze steps.
portlet_cfg = PortletConfiguration(entry.fk_portlet)
portlet_cfg.set_visualizer(entry)
analyzers = dao.get_workflow_steps_for_position(entry.fk_workflow, entry.tab_index, entry.index_in_tab)
portlet_cfg.set_analyzers(analyzers)
burst_entity.tabs[entry.tab_index].portlets[entry.index_in_tab] = portlet_cfg
return burst_entity
def __populate_tabs_from_workflow(burst_entity, workflow):
"""
Given a burst and a workflow populate the tabs of the burst with the PortletConfigurations
generated from the steps of the workflow.
"""
visualizers = dao.get_visualization_steps(workflow.id)
for entry in visualizers:
## For each visualize step, also load all of the analyze steps.
portlet_cfg = PortletConfiguration(entry.fk_portlet)
portlet_cfg.set_visualizer(entry)
analyzers = dao.get_workflow_steps_for_position(entry.fk_workflow, entry.tab_index, entry.index_in_tab)
portlet_cfg.set_analyzers(analyzers)
burst_entity.tabs[entry.tab_index].portlets[entry.index_in_tab] = portlet_cfg
return burst_entity
def _build_workflow_step_info(workflow):
"""
For the input workflow, get all workflow steps and return a list with information
that can be then exported.
"""
wf_steps = []
view_steps = []
for wf_step in dao.get_workflow_steps(workflow.id):
if wf_step.fk_operation is None or wf_step.fk_algorithm is None:
# Avoid exporting old form of View Steps.
LOG.warning("Skipping " + str(workflow) + " " + str(wf_step))
continue
# Get all basic information for this workflow step
wf_step_info = WorkflowStepInformation(wf_step.to_dict()[1])
# We need to store the gid for the operation since the id might be
# different in case of a project export / import
linked_operation = dao.get_operation_by_id(wf_step.fk_operation)
wf_step_info.set_operation(linked_operation)
# We also need to keep info about algorithm in the form of module
# and classname because that id might also be different in case
# of project export / import.
linked_algorithm = dao.get_algorithm_by_id(wf_step.fk_algorithm)
wf_step_info.set_algorithm(linked_algorithm)
wf_steps.append(wf_step_info)
for view_step in dao.get_visualization_steps(workflow.id):
# Get all basic information for this view step
view_step_info = WorkflowViewStepInformation(
view_step.to_dict()[1])
# We need to store portlet identifier, since portlet id might be different
# in project we are importing into.
portlet = dao.get_portlet_by_id(view_step.fk_portlet)
view_step_info.set_portlet(portlet)
# We also need to keep info about algorithm in the form of module
# and classname because that id might also be different in case
# of project export / import.
linked_algorithm = dao.get_algorithm_by_id(view_step.fk_algorithm)
view_step_info.set_algorithm(linked_algorithm)
view_steps.append(view_step_info)
return wf_steps, view_steps
def _build_workflow_step_info(workflow):
"""
For the input workflow, get all workflow steps and return a list with information
that can be then exported.
"""
wf_steps = []
view_steps = []
for wf_step in dao.get_workflow_steps(workflow.id):
if wf_step.fk_operation is None or wf_step.fk_algorithm is None:
# Avoid exporting old form of View Steps.
LOG.warning("Skipping " + str(workflow) + " " + str(wf_step))
continue
# Get all basic information for this workflow step
wf_step_info = WorkflowStepInformation(wf_step.to_dict()[1])
# We need to store the gid for the operation since the id might be
# different in case of a project export / import
linked_operation = dao.get_operation_by_id(wf_step.fk_operation)
wf_step_info.set_operation(linked_operation)
# We also need to keep info about algorithm in the form of module
# and classname because that id might also be different in case
# of project export / import.
linked_algorithm = dao.get_algorithm_by_id(wf_step.fk_algorithm)
wf_step_info.set_algorithm(linked_algorithm)
wf_steps.append(wf_step_info)
for view_step in dao.get_visualization_steps(workflow.id):
# Get all basic information for this view step
view_step_info = WorkflowViewStepInformation(view_step.to_dict()[1])
# We need to store portlet identifier, since portlet id might be different
# in project we are importing into.
portlet = dao.get_portlet_by_id(view_step.fk_portlet)
view_step_info.set_portlet(portlet)
# We also need to keep info about algorithm in the form of module
# and classname because that id might also be different in case
# of project export / import.
linked_algorithm = dao.get_algorithm_by_id(view_step.fk_algorithm)
view_step_info.set_algorithm(linked_algorithm)
view_steps.append(view_step_info)
return wf_steps, view_steps
