import logging
import types
import threading
import time
import queue as q

import core.telemetry as telemetry


def test_telemetry_queue_backpressure_and_single_worker(monkeypatch, caplog):
    # Directly attach caplog's handler to the telemetry logger so that
    # earlier tests calling logging.basicConfig() can't steal the records
    # via a root handler before caplog sees them.
    tel_logger = logging.getLogger("unity-mcp-telemetry")
    tel_logger.addHandler(caplog.handler)
    try:
        caplog.set_level("DEBUG", logger="unity-mcp-telemetry")

        collector = telemetry.TelemetryCollector()
        # Force-enable telemetry regardless of env settings from conftest
        collector.config.enabled = True

        # Wake existing worker once so it observes the new queue on the next loop
        collector.record(telemetry.RecordType.TOOL_EXECUTION, {"i": -1})
        # Replace queue with tiny one to trigger backpressure quickly
        small_q = q.Queue(maxsize=2)
        collector._queue = small_q
        # Give the worker time to finish processing the seeded item and
        # re-enter _queue.get() on the new small queue
        time.sleep(0.2)

        # Make sends slow to build backlog and exercise worker
        def slow_send(self, rec):
            time.sleep(0.05)

        collector._send_telemetry = types.MethodType(slow_send, collector)

        # Fire many events quickly; record() should not block even when queue fills
        start = time.perf_counter()
        for i in range(50):
            collector.record(telemetry.RecordType.TOOL_EXECUTION, {"i": i})
        elapsed_ms = (time.perf_counter() - start) * 1000.0

        # Should be fast despite backpressure (non-blocking enqueue or drop)
        # Threshold set high (500ms) to accommodate CI environments with variable load.
        # The key assertion is that 50 record() calls don't block on a full queue;
        # even under heavy CI load, non-blocking calls should complete well under 500ms.
        assert elapsed_ms < 500.0, f"Took {elapsed_ms:.1f}ms (expected <500ms for non-blocking calls)"

        # Allow worker to process some
        time.sleep(0.3)

        # Verify drops were logged (queue full backpressure)
        dropped_logs = [
            m for m in caplog.messages if "Telemetry queue full; dropping" in m]
        assert len(dropped_logs) >= 1

        # Ensure only one worker thread exists and is alive
        assert collector._worker.is_alive()
        worker_threads = [
            t for t in threading.enumerate() if t is collector._worker]
        assert len(worker_threads) == 1
    finally:
        if caplog.handler in tel_logger.handlers:
            tel_logger.removeHandler(caplog.handler)