def workflow_run_config_to_request(trans, run_config, workflow):
param_types = model.WorkflowRequestInputParameter.types
workflow_invocation = model.WorkflowInvocation()
workflow_invocation.uuid = uuid.uuid1()
workflow_invocation.history = run_config.target_history
def add_parameter(name, value, type):
parameter = model.WorkflowRequestInputParameter(
name=name,
value=value,
type=type,
)
workflow_invocation.input_parameters.append(parameter)
replacement_dict = run_config.replacement_dict
for name, value in replacement_dict.iteritems():
add_parameter(
name=name,
value=value,
type=param_types.REPLACEMENT_PARAMETERS,
)
for step_id, content in run_config.inputs.iteritems():
workflow_invocation.add_input(content, step_id)
for step in workflow.steps:
state = step.state
serializable_runtime_state = step.module.normalize_runtime_state(state)
step_state = model.WorkflowRequestStepState()
step_state.workflow_step_id = step.id
step_state.value = serializable_runtime_state
workflow_invocation.step_states.append(step_state)
add_parameter("copy_inputs_to_history",
"true" if run_config.copy_inputs_to_history else "false",
param_types.META_PARAMETERS)
return workflow_invocation
def workflow_run_config_to_request(trans, run_config, workflow):
param_types = model.WorkflowRequestInputParameter.types
workflow_invocation = model.WorkflowInvocation()
workflow_invocation.uuid = uuid.uuid1()
workflow_invocation.history = run_config.target_history
def add_parameter(name, value, type):
parameter = model.WorkflowRequestInputParameter(
name=name,
value=value,
type=type,
)
workflow_invocation.input_parameters.append(parameter)
steps_by_id = {}
for step in workflow.steps:
steps_by_id[step.id] = step
serializable_runtime_state = step.module.encode_runtime_state(step.state)
step_state = model.WorkflowRequestStepState()
step_state.workflow_step = step
log.info("Creating a step_state for step.id %s" % step.id)
step_state.value = serializable_runtime_state
workflow_invocation.step_states.append(step_state)
if step.type == "subworkflow":
subworkflow_run_config = WorkflowRunConfig(
target_history=run_config.target_history,
replacement_dict=run_config.replacement_dict,
copy_inputs_to_history=False,
use_cached_job=run_config.use_cached_job,
inputs={},
param_map=run_config.param_map.get(step.order_index, {}),
allow_tool_state_corrections=run_config.allow_tool_state_corrections,
resource_params=run_config.resource_params
)
subworkflow_invocation = workflow_run_config_to_request(
trans,
subworkflow_run_config,
step.subworkflow,
)
workflow_invocation.attach_subworkflow_invocation_for_step(
step,
subworkflow_invocation,
)
replacement_dict = run_config.replacement_dict
for name, value in replacement_dict.items():
add_parameter(
name=name,
value=value,
type=param_types.REPLACEMENT_PARAMETERS,
)
for step_id, content in run_config.inputs.items():
workflow_invocation.add_input(content, step_id)
for step_id, param_dict in run_config.param_map.items():
add_parameter(
name=step_id,
value=json.dumps(param_dict),
type=param_types.STEP_PARAMETERS,
)
resource_parameters = run_config.resource_params
for key, value in resource_parameters.items():
add_parameter(key, value, param_types.RESOURCE_PARAMETERS)
add_parameter("copy_inputs_to_history", "true" if run_config.copy_inputs_to_history else "false", param_types.META_PARAMETERS)
add_parameter("use_cached_job", "true" if run_config.use_cached_job else "false", param_types.META_PARAMETERS)
return workflow_invocation
