def PlacefulWorkflowChain(ob, tool):
"""Monkey-patched by CMFPlacefulWorkflow to look for placeful workflow configurations.
Goal: find a workflow chain in a policy
Steps:
1. ask the object if it contains a policy
2. if it does, ask him for a chain
3. if there's no chain for the type the we loop on the parent
4. if the parent is the portal object or None we stop and ask
portal_workflow
"""
if isinstance(ob, basestring):
# We are not in an object, then we can only get default from
# portal_workflow
return ToolWorkflowChain(ob, tool)
elif hasattr(aq_base(ob), 'getPortalTypeName'):
portal_type = ob.getPortalTypeName()
else:
portal_type = None
if portal_type is None or ob is None:
return ()
# Inspired by implementation in CPSWorkflowTool.py of CPSCore 3.9.0
# Workflow needs to be determined by true containment not context
# so we loop over the actual containers
chain = None
wfpolicyconfig = None
current_ob = aq_inner(ob)
# start_here is used to check 'In policy': We check it only in the
# first folder
start_here = True
portal = aq_base(getToolByName(tool, 'portal_url').getPortalObject())
while chain is None and current_ob is not None:
if base_hasattr(current_ob, WorkflowPolicyConfig_id):
wfpolicyconfig = getattr(current_ob, WorkflowPolicyConfig_id)
chain = wfpolicyconfig.getPlacefulChainFor(portal_type,
start_here=start_here)
if chain is not None:
return chain
elif aq_base(current_ob) is portal:
break
start_here = False
current_ob = aq_inner(aq_parent(current_ob))
# fallback on the default mechanism
return ToolWorkflowChain(ob, tool)
def SamplePrepTransitionEventHandler(instance, event):
"""Sample preparation is considered complete when the sampleprep workflow
reaches a state which has no exit transitions.
If the stateis state's ID is the same as any AnalysisRequest primary
workflow ID, then the AnalysisRequest will be sent directly to that state.
If the final state's ID is not found in the AR workflow, the AR will be
transitioned to 'sample_received'.
"""
if not event.transition:
# creation doesn't have a 'transition'
return
if not event.new_state.getTransitions():
# Is this the final (No exit transitions) state?
workflow = ploneapi.portal.get_tool("portal_workflow")
primary_wf_name = list(ToolWorkflowChain(instance, workflow))[0]
primary_wf = workflow.getWorkflowById(primary_wf_name)
primary_wf_states = primary_wf.states.keys()
if event.new_state.id in primary_wf_states:
# final state name matches review_state in primary workflow:
dst_state = event.new_state.id
else:
# fallback state:
dst_state = 'sample_received'
changeWorkflowState(instance, primary_wf_name, dst_state)
def SamplePrepWorkflowChain(ob, wftool):
"""Responsible for inserting the optional sampling preparation workflow
into the workflow chain for objects with ISamplePrepWorkflow
This is only done if the object is in 'sample_prep' state in the
primary workflow (review_state).
"""
# use catalog to retrieve review_state: getInfoFor causes recursion loop
chain = list(ToolWorkflowChain(ob, wftool))
bc = ploneapi.portal.get_tool('bika_catalog')
proxies = bc(UID=ob.UID())
if not proxies or proxies[0].review_state != 'sample_prep':
return chain
sampleprep_workflow = ob.getPreparationWorkflow()
if sampleprep_workflow:
chain.append(sampleprep_workflow)
return tuple(chain)
def SamplePrepWorkflowChain(ob, wftool):
"""Responsible for inserting the optional sampling preparation workflow
into the workflow chain for objects with ISamplePrepWorkflow
This is only done if the object is in 'sample_prep' state in the
primary workflow (review_state).
"""
# use catalog to retrieve review_state: getInfoFor causes recursion loop
chain = list(ToolWorkflowChain(ob, wftool))
try:
bc = getToolByName(ob, 'bika_catalog')
except AttributeError:
logger.warning(traceback.format_exc())
logger.warning(
"Error getting 'bika_catalog' using 'getToolByName' with '{0}'"
" as context.".format(ob))
return chain
proxies = bc(UID=ob.UID())
if not proxies or proxies[0].review_state != 'sample_prep':
return chain
sampleprep_workflow = ob.getPreparationWorkflow()
if sampleprep_workflow:
chain.append(sampleprep_workflow)
return tuple(chain)