def _make_runtime(self, flow, initial_state=None):
compilation = compiler.PatternCompiler(flow).compile()
flow_detail = pu.create_flow_detail(flow)
store = storage.SingleThreadedStorage(flow_detail)
# This ensures the tasks exist in storage...
for task in compilation.execution_graph:
store.ensure_atom(task)
if initial_state:
store.set_flow_state(initial_state)
task_notifier = misc.Notifier()
task_executor = executor.SerialTaskExecutor()
task_executor.start()
self.addCleanup(task_executor.stop)
return runtime.Runtime(compilation, store,
task_notifier, task_executor)
def _make_runtime(self, flow, initial_state=None):
compilation = compiler.PatternCompiler(flow).compile()
flow_detail = pu.create_flow_detail(flow)
store = storage.Storage(flow_detail)
nodes_iter = compilation.execution_graph.nodes_iter(data=True)
for node, node_attrs in nodes_iter:
if node_attrs['kind'] in ('task', 'retry'):
store.ensure_atom(node)
if initial_state:
store.set_flow_state(initial_state)
atom_notifier = notifier.Notifier()
task_executor = executor.SerialTaskExecutor()
retry_executor = executor.SerialRetryExecutor()
task_executor.start()
self.addCleanup(task_executor.stop)
r = runtime.Runtime(compilation, store, atom_notifier, task_executor,
retry_executor)
r.compile()
return r
def __init__(self, flow, flow_detail, backend, options):
super(SerialActionEngine, self).__init__(flow, flow_detail, backend,
options)
self._task_executor = executor.SerialTaskExecutor()
def __init__(self, task_cls):
self._task_cls = task_cls
self._task_cls_name = reflection.get_class_name(task_cls)
self._executor = executor.SerialTaskExecutor()
