"""The work queue, and what the execution service does with it.""" import threading import time from fluksio.flow import executor from fluksio.flow.executor import ExecutionService from fluksio.flow.messages import DType, MessageSpec from fluksio.flow.nodes import Node from fluksio.flow.pipeline import Pipeline from fluksio.flow.queue import MemoryWorkQueue, WorkItem from fluksio.flow.state import MemoryState def test_items_come_back_in_the_order_they_went_in(): queue = MemoryWorkQueue() for i in range(3): queue.add(WorkItem(kind="cascade", node=f"f.n{i}", flow="f")) claimed = queue.claim(10, 10) assert [item.node for item in claimed] == ["f.n0", "f.n1", "f.n2"] # Every item gets an id, which is what idempotency markers hang off. assert all(item.entry_id for item in claimed) def test_claiming_an_empty_queue_waits_and_gives_up(): queue = MemoryWorkQueue() started = time.monotonic() assert queue.claim(1, 50) == [] assert time.monotonic() - started >= 0.04 def test_a_delayed_item_stays_put_until_it_is_due(): queue = MemoryWorkQueue() queue.add_delayed(WorkItem(kind="cascade", node="f.n", flow="f"), time.time() + 60) assert queue.claim(1, 10) == [] assert queue.move_due(time.time()) == 0 assert queue.move_due(time.time() + 61) == 1 assert [i.node for i in queue.claim(1, 10)] == ["f.n"] def test_parked_work_comes_back_oldest_first(): queue = MemoryWorkQueue() for i in range(3): queue.park("heating", WorkItem(kind="cascade", node=f"f.n{i}", flow="heating")) assert [i.node for i in queue.unpark("heating")] == ["f.n0", "f.n1", "f.n2"] # Unparking empties it, so a second resume does not replay the same work. assert queue.unpark("heating") == [] def test_a_deleted_flow_leaves_nothing_parked(): queue = MemoryWorkQueue() queue.park("gone", WorkItem(kind="cascade", node="gone.n", flow="gone")) queue.clear_flow("gone") assert queue.unpark("gone") == [] def test_claimed_work_counts_as_in_flight_until_it_is_acknowledged(): """The health tile's "in flight" reads zero without this.""" queue = MemoryWorkQueue() queue.add(WorkItem(kind="cascade", node="f.n", flow="f")) assert queue.stats()["pending"] == 0 # The stream length was never a backlog, so the key is gone from both queues. assert "depth" not in queue.stats() (item,) = queue.claim(1, 10) assert queue.stats()["pending"] == 1 queue.ack(item) assert queue.stats()["pending"] == 0 def _pipeline_with_a_consumer() -> tuple[Pipeline, Node, MemoryState, list]: """A source whose message a consumer records.""" seen: list[float] = [] def consume(reading, params): seen.append(reading) return {"doubled": reading * 2} source = Node( f=lambda params: None, provides=[MessageSpec(name="reading", port="reading", dtype=DType.FLOAT)], name="source", ) consumer = Node( f=consume, requires=[MessageSpec(name="reading", port="reading", dtype=DType.FLOAT)], provides=[MessageSpec(name="doubled", port="doubled", dtype=DType.FLOAT)], name="consumer", ) source.assign_flow("f", "source") consumer.assign_flow("f", "consumer") state = MemoryState() queue = MemoryWorkQueue() pipeline = Pipeline(nodes=[source, consumer], state=state, work_queue=queue) return pipeline, source, state, seen def test_a_trigger_is_journaled_rather_than_run_on_the_spot(): pipeline, source, state, seen = _pipeline_with_a_consumer() source.inject({"reading": 3.0}) # Nothing ran yet: the value is in the queue, not in state. assert seen == [] assert "f.reading" not in state service = ExecutionService(pipeline._queue) service.bind(pipeline) for item in pipeline._queue.claim(10, 10): service._run_item(item) assert seen == [3.0] assert state["f.doubled"] == 6.0 def test_work_for_a_paused_flow_is_held_and_released_on_resume(): pipeline, source, state, seen = _pipeline_with_a_consumer() service = ExecutionService(pipeline._queue) service.bind(pipeline) pipeline.pause("f") source.inject({"reading": 1.0}) for item in pipeline._queue.claim(10, 10): service._run_item(item) assert seen == [] pipeline.resume("f") for item in pipeline._queue.unpark("f"): pipeline._queue.add(item) for item in pipeline._queue.claim(10, 10): service._run_item(item) assert seen == [1.0] def test_a_step_runs_one_held_item_and_leaves_the_flow_paused(): pipeline, source, _state, seen = _pipeline_with_a_consumer() service = ExecutionService(pipeline._queue) service.bind(pipeline) pipeline.pause("f") source.inject({"reading": 1.0}) source.inject({"reading": 2.0}) for item in pipeline._queue.claim(10, 10): service._run_item(item) assert seen == [] assert service.step("f") == "f.source" assert seen == [1.0] # Still paused, and the second value is still waiting for the next step. assert pipeline.is_paused("f") assert [i.outputs for i in pipeline._queue.unpark("f")] == [{"f.reading": 2.0}] def test_stepping_a_flow_with_nothing_held_says_so_rather_than_failing(): pipeline, _source, _state, _seen = _pipeline_with_a_consumer() service = ExecutionService(pipeline._queue) service.bind(pipeline) pipeline.pause("f") assert service.step("f") is None def test_work_for_a_stopped_flow_is_dropped(): pipeline, source, state, seen = _pipeline_with_a_consumer() stopped = Pipeline( nodes=pipeline.nodes, state=pipeline.state, work_queue=pipeline._queue, disabled_flows={"f"}, ) service = ExecutionService(pipeline._queue) service.bind(stopped) # Reaching the queue at all takes a direct add: trigger drops it earlier. stopped._queue.add( WorkItem(kind="cascade", node="f.source", flow="f", outputs={"f.reading": 1.0}) ) for item in stopped._queue.claim(10, 10): service._run_item(item) assert seen == [] def test_an_item_that_keeps_coming_back_is_dead_lettered(): pipeline, _source, _state, seen = _pipeline_with_a_consumer() service = ExecutionService(pipeline._queue) service.bind(pipeline) item = WorkItem( kind="cascade", node="f.source", flow="f", outputs={"f.reading": 1.0}, deliveries=4, ) service._run_item(item) # Given up on rather than run again, so a poison item cannot loop forever. assert seen == [] def test_an_item_for_a_node_that_no_longer_exists_is_dropped(): pipeline, _source, _state, seen = _pipeline_with_a_consumer() service = ExecutionService(pipeline._queue) service.bind(pipeline) service._run_item(WorkItem(kind="cascade", node="f.removed", flow="f")) assert seen == [] def test_a_replayed_item_does_not_repeat_a_side_effect(): """At-least-once delivery must not mean two of the same outgoing request.""" calls: list[float] = [] def send(reading, params): calls.append(reading) return None source = Node( f=lambda params: None, provides=[MessageSpec(name="reading", port="reading", dtype=DType.FLOAT)], name="source", ) class SendingNode(Node): """Stands in for the built-ins that reach outside.""" idempotent = False sender = SendingNode( f=send, requires=[MessageSpec(name="reading", port="reading", dtype=DType.FLOAT)], name="sender", ) source.assign_flow("f", "source") sender.assign_flow("f", "sender") queue = MemoryWorkQueue() pipeline = Pipeline(nodes=[source, sender], state=MemoryState(), work_queue=queue) service = ExecutionService(queue) service.bind(pipeline) source.inject({"reading": 5.0}) (item,) = queue.claim(10, 10) service._run_item(item) assert calls == [5.0] # The same item again, as a reaper would hand it back after a crash. item.deliveries = 2 service._run_item(item) assert calls == [5.0] # ----------------------------------------------------------------------------- # Telling the queue that a long node is working, not lost # # What marks an item abandoned is nobody touching it. A node with no timeout # may run for hours, so the engine holding it says so on a timer — and an # engine that died says nothing, which is the distinction the reaper needs. # ----------------------------------------------------------------------------- class RecordingQueue(MemoryWorkQueue): """A memory queue that writes down what it was asked to hold on to.""" def __init__(self) -> None: super().__init__() self.touched: list[list[str]] = [] def touch(self, entry_ids: list[str]) -> None: self.touched.append(list(entry_ids)) def test_work_in_flight_is_touched_until_it_finishes(monkeypatch): monkeypatch.setattr(executor, "TOUCH_INTERVAL_S", 0.0) monkeypatch.setattr(executor, "DELAYED_INTERVAL_S", 0.05) running = threading.Event() release = threading.Event() def slow(reading, params): running.set() release.wait(5) return {"doubled": reading * 2} source = Node( f=lambda params: None, provides=[MessageSpec(name="reading", dtype=DType.FLOAT)], name="source", ) consumer = Node( f=slow, requires=[MessageSpec(name="reading", dtype=DType.FLOAT)], provides=[MessageSpec(name="doubled", dtype=DType.FLOAT)], name="consumer", ) source.assign_flow("f", "source") consumer.assign_flow("f", "consumer") queue = RecordingQueue() pipeline = Pipeline( nodes=[source, consumer], state=MemoryState(), work_queue=queue ) service = ExecutionService(queue) service.bind(pipeline) service.start() try: source.inject({"reading": 3.0}) assert running.wait(5) # Give the timer a couple of passes while the node is still in there. time.sleep(0.2) held = [ids for ids in queue.touched if ids] assert held, "a running item was never touched" release.set() time.sleep(0.3) # Once it is done it is acknowledged, so there is nothing to hold. assert queue.touched[-1] == [] finally: release.set() service.stop()