chore: import upstream snapshot with attribution
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import logging
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import types
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import threading
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import time
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import queue as q
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import core.telemetry as telemetry
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def test_telemetry_queue_backpressure_and_single_worker(monkeypatch, caplog):
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# Directly attach caplog's handler to the telemetry logger so that
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# earlier tests calling logging.basicConfig() can't steal the records
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# via a root handler before caplog sees them.
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tel_logger = logging.getLogger("unity-mcp-telemetry")
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tel_logger.addHandler(caplog.handler)
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try:
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caplog.set_level("DEBUG", logger="unity-mcp-telemetry")
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collector = telemetry.TelemetryCollector()
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# Force-enable telemetry regardless of env settings from conftest
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collector.config.enabled = True
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# Wake existing worker once so it observes the new queue on the next loop
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collector.record(telemetry.RecordType.TOOL_EXECUTION, {"i": -1})
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# Replace queue with tiny one to trigger backpressure quickly
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small_q = q.Queue(maxsize=2)
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collector._queue = small_q
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# Give the worker time to finish processing the seeded item and
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# re-enter _queue.get() on the new small queue
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time.sleep(0.2)
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# Make sends slow to build backlog and exercise worker
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def slow_send(self, rec):
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time.sleep(0.05)
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collector._send_telemetry = types.MethodType(slow_send, collector)
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# Fire many events quickly; record() should not block even when queue fills
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start = time.perf_counter()
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for i in range(50):
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collector.record(telemetry.RecordType.TOOL_EXECUTION, {"i": i})
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elapsed_ms = (time.perf_counter() - start) * 1000.0
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# Should be fast despite backpressure (non-blocking enqueue or drop)
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# Threshold set high (500ms) to accommodate CI environments with variable load.
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# The key assertion is that 50 record() calls don't block on a full queue;
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# even under heavy CI load, non-blocking calls should complete well under 500ms.
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assert elapsed_ms < 500.0, f"Took {elapsed_ms:.1f}ms (expected <500ms for non-blocking calls)"
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# Allow worker to process some
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time.sleep(0.3)
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# Verify drops were logged (queue full backpressure)
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dropped_logs = [
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m for m in caplog.messages if "Telemetry queue full; dropping" in m]
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assert len(dropped_logs) >= 1
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# Ensure only one worker thread exists and is alive
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assert collector._worker.is_alive()
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worker_threads = [
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t for t in threading.enumerate() if t is collector._worker]
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assert len(worker_threads) == 1
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finally:
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if caplog.handler in tel_logger.handlers:
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tel_logger.removeHandler(caplog.handler)
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