def __init__(self, flow, flow_detail, backend, options):
super(ActionEngine, self).__init__(flow, flow_detail, backend, options)
self._runtime = None
self._compiled = False
self._compilation = None
self._compiler = compiler.PatternCompiler(flow)
self._lock = threading.RLock()
self._state_lock = threading.RLock()
self._storage_ensured = False
# Retries are not *currently* executed out of the engines process
# or thread (this could change in the future if we desire it to).
self._retry_executor = executor.SerialRetryExecutor()
def __init__(self, flow, flow_detail, backend, options):
super(ActionEngine, self).__init__(flow, flow_detail, backend, options)
self._runtime = None
self._compiled = False
self._compilation = None
self._compiler = compiler.PatternCompiler(flow)
self._lock = threading.RLock()
self._storage_ensured = False
self._validated = False
# Retries are not *currently* executed out of the engines process
# or thread (this could change in the future if we desire it to).
self._retry_executor = executor.SerialRetryExecutor()
self._inject_transient = strutils.bool_from_string(
self._options.get('inject_transient', True))
self._gather_statistics = strutils.bool_from_string(
self._options.get('gather_statistics', True))
self._statistics = {}
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)
# 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 = notifier.Notifier()
task_executor = executor.SerialTaskExecutor()
retry_executor = executor.SerialRetryExecutor()
task_executor.start()
self.addCleanup(task_executor.stop)
r = runtime.Runtime(compilation, store, task_notifier, task_executor,
retry_executor)
r.compile()
return r
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