def invoke(self, trans, workflow_id, payload, **kwd):
"""
POST /api/workflows/{encoded_workflow_id}/invocations
Schedule the workflow specified by `workflow_id` to run.
"""
# Get workflow + accessibility check.
stored_workflow = self.__get_stored_accessible_workflow(
trans, workflow_id)
workflow = stored_workflow.latest_workflow
run_configs = build_workflow_run_configs(trans, workflow, payload)
is_batch = payload.get('batch')
if not is_batch and len(run_configs) != 1:
raise exceptions.RequestParameterInvalidException(
"Must specify 'batch' to use batch parameters.")
invocations = []
for run_config in run_configs:
workflow_scheduler_id = payload.get('scheduler', None)
# TODO: workflow scheduler hints
work_request_params = dict(scheduler=workflow_scheduler_id)
workflow_invocation = queue_invoke(
trans=trans,
workflow=workflow,
workflow_run_config=run_config,
request_params=work_request_params)
invocation = self.encode_all_ids(trans,
workflow_invocation.to_dict(),
recursive=True)
invocations.append(invocation)
if is_batch:
return invocations
else:
return invocations[0]
def invoke(self, trans, workflow_id, payload, **kwd):
"""
POST /api/workflows/{encoded_workflow_id}/invocations
Schedule the workflow specified by `workflow_id` to run.
"""
# /usage is awkward in this context but is consistent with the rest of
# this module. Would prefer to redo it all to use /invocation(s).
# Get workflow + accessibility check.
stored_workflow = self.__get_stored_accessible_workflow(
trans, workflow_id)
workflow = stored_workflow.latest_workflow
run_config = build_workflow_run_config(trans, workflow, payload)
workflow_scheduler_id = payload.get("scheduler", None)
# TODO: workflow scheduler hints
work_request_params = dict(scheduler=workflow_scheduler_id)
workflow_invocation = queue_invoke(trans=trans,
workflow=workflow,
workflow_run_config=run_config,
request_params=work_request_params)
return self.encode_all_ids(trans,
workflow_invocation.to_dict(),
recursive=True)
def invoke(self, trans, workflow_id, payload, **kwd):
"""
POST /api/workflows/{encoded_workflow_id}/invocations
Schedule the workflow specified by `workflow_id` to run.
"""
# Get workflow + accessibility check.
stored_workflow = self.__get_stored_accessible_workflow(trans, workflow_id)
workflow = stored_workflow.latest_workflow
run_configs = build_workflow_run_configs(trans, workflow, payload)
is_batch = payload.get('batch')
if not is_batch and len(run_configs) != 1:
raise exceptions.RequestParameterInvalidException("Must specify 'batch' to use batch parameters.")
invocations = []
for run_config in run_configs:
workflow_scheduler_id = payload.get('scheduler', None)
# TODO: workflow scheduler hints
work_request_params = dict(scheduler=workflow_scheduler_id)
workflow_invocation = queue_invoke(
trans=trans,
workflow=workflow,
workflow_run_config=run_config,
request_params=work_request_params
)
invocation = self.encode_all_ids(trans, workflow_invocation.to_dict(), recursive=True)
invocations.append(invocation)
if is_batch:
return invocations
else:
return invocations[0]
def run( self, trans, workflow_id, payload, **kwd ):
"""
POST /api_internal/workflows/{encoded_workflow_id}/run
Run a workflow with a dictionary of prefixed_name/value pairs e.g.
payload = { inputs: { step_0: { parameter_0|parameter_1 : value_0, ... }, ... } }
"""
workflow = self.__get_stored_accessible_workflow( trans, workflow_id ).latest_workflow
trans.workflow_building_mode = workflow_building_modes.USE_HISTORY
module_injector = WorkflowModuleInjector( trans )
params, param_keys = expand_workflow_inputs( payload.get( 'inputs', [] ) )
errors = {}
for workflow_args in params:
for step in workflow.steps:
step_args = workflow_args.get( str( step.id ), {} )
step_errors = module_injector.inject( step, step_args )
if step_errors:
errors[ step.id ] = step_errors
if errors:
log.exception( errors )
raise exceptions.MessageException( err_data=errors )
invocations = []
for index, workflow_args in enumerate( params ):
for step in workflow.steps:
step_args = workflow_args.get( str( step.id ), {} )
module_injector.inject( step, step_args )
new_history = None
if 'new_history_name' in payload:
if payload[ 'new_history_name' ]:
nh_name = payload[ 'new_history_name' ]
else:
nh_name = 'History from %s workflow' % workflow.name
if index in param_keys:
ids = param_keys[ index ]
nids = len( ids )
if nids == 1:
nh_name = '%s on %s' % ( nh_name, ids[ 0 ] )
elif nids > 1:
nh_name = '%s on %s and %s' % ( nh_name, ', '.join( ids[ 0:-1 ] ), ids[ -1 ] )
new_history = trans.app.model.History( user=trans.user, name=nh_name )
new_history.copy_tags_from( trans.user, trans.history )
trans.sa_session.add( new_history )
target_history = new_history
elif 'history_id' in payload:
target_history = histories.HistoryManager( trans.app ).get_owned( trans.security.decode_id( payload.get( 'history_id' ), trans.user, current_history=trans.history ) )
else:
target_history = trans.history
run_config = WorkflowRunConfig(
target_history=target_history,
replacement_dict=payload.get( 'replacement_params', {} ),
copy_inputs_to_history=new_history is not None )
invocation = queue_invoke(
trans=trans,
workflow=workflow,
workflow_run_config=run_config,
populate_state=False )
invocations.append({ 'history' : { 'id' : trans.app.security.encode_id( new_history.id ), 'name' : new_history.name } if new_history else None,
'scheduled' : invocation.state == trans.app.model.WorkflowInvocation.states.SCHEDULED })
trans.sa_session.flush()
return invocations
def invoke(self, trans, workflow_id, payload, **kwd):
"""
POST /api/workflows/{encoded_workflow_id}/invocations
Schedule the workflow specified by `workflow_id` to run.
"""
# /usage is awkward in this context but is consistent with the rest of
# this module. Would prefer to redo it all to use /invocation(s).
# Get workflow + accessibility check.
stored_workflow = self.__get_stored_accessible_workflow(
trans, workflow_id)
workflow = stored_workflow.latest_workflow
run_configs = build_workflow_run_configs(trans, workflow, payload)
index = 0
thingy = run_configs[0].param_map
for key, value in thingy.iteritems():
for key1, val in value.iteritems():
if 'JPCNn681vcGV4KuvuT16' == key1:
val = '"' + val + '"'
workflow.steps[index].tool_inputs[unicode(
'JPCNn681vcGV4KuvuT16', "utf-8")] = val
index = index + 1
is_batch = payload.get('batch')
if not is_batch and len(run_configs) != 1:
raise exceptions.RequestParameterInvalidException(
"Must specify 'batch' to use batch parameters.")
invocations = []
for run_config in run_configs:
workflow_scheduler_id = payload.get('scheduler', None)
# TODO: workflow scheduler hints
work_request_params = dict(scheduler=workflow_scheduler_id)
workflow_invocation = queue_invoke(
trans=trans,
workflow=workflow,
workflow_run_config=run_config,
request_params=work_request_params)
invocation = self.encode_all_ids(trans,
workflow_invocation.to_dict(),
recursive=True)
invocations.append(invocation)
if is_batch:
return invocations
else:
return invocations[0]
def invoke(self, trans, workflow_id, payload, **kwd):
"""
POST /api/workflows/{encoded_workflow_id}/invocations
Schedule the workflow specified by `workflow_id` to run.
"""
# /usage is awkward in this context but is consistent with the rest of
# this module. Would prefer to redo it all to use /invocation(s).
# Get workflow + accessibility check.
stored_workflow = self.__get_stored_accessible_workflow(trans, workflow_id)
workflow = stored_workflow.latest_workflow
run_config = build_workflow_run_config(trans, workflow, payload)
workflow_scheduler_id = payload.get("scheduler", None)
# TODO: workflow scheduler hints
work_request_params = dict(scheduler=workflow_scheduler_id)
workflow_invocation = queue_invoke(
trans=trans, workflow=workflow, workflow_run_config=run_config, request_params=work_request_params
)
return self.encode_all_ids(trans, workflow_invocation.to_dict(), recursive=True)
def run(self, trans, workflow_id, payload, **kwd):
"""
POST /api_internal/workflows/{encoded_workflow_id}/run
Run a workflow with a dictionary of prefixed_name/value pairs e.g.
payload = { inputs: { step_0: { parameter_0|parameter_1 : value_0, ... }, ... } }
"""
workflow = self.__get_stored_accessible_workflow(
trans, workflow_id).latest_workflow
trans.workflow_building_mode = workflow_building_modes.USE_HISTORY
module_injector = WorkflowModuleInjector(trans)
params, param_keys = expand_workflow_inputs(payload.get('inputs', []))
errors = {}
for workflow_args in params:
for step in workflow.steps:
step_args = workflow_args.get(str(step.id), {})
step_errors = module_injector.inject(step, step_args)
if step_errors:
errors[step.id] = step_errors
if errors:
log.exception(errors)
raise exceptions.MessageException(err_data=errors)
invocations = []
for index, workflow_args in enumerate(params):
for step in workflow.steps:
step_args = workflow_args.get(str(step.id), {})
module_injector.inject(step, step_args)
new_history = None
if 'new_history_name' in payload:
if payload['new_history_name']:
nh_name = payload['new_history_name']
else:
nh_name = 'History from %s workflow' % workflow.name
if index in param_keys:
ids = param_keys[index]
nids = len(ids)
if nids == 1:
nh_name = '%s on %s' % (nh_name, ids[0])
elif nids > 1:
nh_name = '%s on %s and %s' % (nh_name, ', '.join(
ids[0:-1]), ids[-1])
new_history = trans.app.model.History(user=trans.user,
name=nh_name)
new_history.copy_tags_from(trans.user, trans.history)
trans.sa_session.add(new_history)
target_history = new_history
elif 'history_id' in payload:
target_history = histories.HistoryManager(trans.app).get_owned(
trans.security.decode_id(payload.get('history_id'),
trans.user,
current_history=trans.history))
else:
target_history = trans.history
run_config = WorkflowRunConfig(target_history=target_history,
replacement_dict=payload.get(
'replacement_params', {}),
copy_inputs_to_history=new_history
is not None)
invocation = queue_invoke(trans=trans,
workflow=workflow,
workflow_run_config=run_config,
populate_state=False)
invocations.append({
'history': {
'id': trans.app.security.encode_id(new_history.id),
'name': new_history.name
} if new_history else None,
'scheduled':
invocation.state ==
trans.app.model.WorkflowInvocation.states.SCHEDULED
})
trans.sa_session.flush()
return invocations
