bartool
cd7f196b25
- Add FrameDispatcher for distributing QVideoFrames to subscribers - Implement TelemetryCollector to measure video pipeline performance metrics - Create MainWindow as the main application interface with video rendering - Develop AppMenuBar for camera selection, resolution, and FPS settings - Establish overlay system for displaying telemetry metrics - Set up project structure and configuration files - Add unit tests for FrameDispatcher and TelemetryCollector
108 lines
3.8 KiB
Python
108 lines
3.8 KiB
Python
"""Tests for TelemetryCollector."""
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from __future__ import annotations
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import time
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from collections import deque
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from unittest.mock import MagicMock, patch
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class TestTelemetryCollector:
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"""Test telemetry calculations in isolation (no Qt event loop required)."""
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def _make_collector(self):
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"""Construct a TelemetryCollector bypassing Qt machinery."""
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from app.telemetry.telemetry_collector import TelemetryCollector
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with patch.object(TelemetryCollector, "__init__", return_value=None):
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col = TelemetryCollector.__new__(TelemetryCollector)
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col._frame_times = deque(maxlen=120)
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col._last_frame_time = 0.0
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col._total_frames = 0
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col._dropped_frames = 0
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col._fps_window = deque()
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col._fps_window_size_s = 1.0
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col._process = MagicMock()
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col._process.memory_info.return_value.rss = 50 * 1024 * 1024 # 50 MB
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return col
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def test_initial_snapshot_has_zero_fps(self):
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col = self._make_collector()
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snap = col._compute_snapshot()
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assert snap.fps == 0.0
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def test_fps_counts_frames_in_window(self):
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col = self._make_collector()
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now = time.perf_counter()
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# Simulate 30 frames within the last second
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for i in range(30):
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col._fps_window.append(now - 0.9 + i * 0.03)
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snap = col._compute_snapshot()
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assert snap.fps == 30.0
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def test_fps_excludes_old_frames(self):
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col = self._make_collector()
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now = time.perf_counter()
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# 10 frames older than 1 second — should not count
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for i in range(10):
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col._fps_window.append(now - 2.0 + i * 0.05)
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# 5 frames within the last second
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for i in range(5):
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col._fps_window.append(now - 0.4 + i * 0.05)
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snap = col._compute_snapshot()
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assert snap.fps == 5.0
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def test_frame_time_average(self):
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col = self._make_collector()
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# 10 frames at 33.3 ms each
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interval = 0.0333
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for _ in range(10):
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col._frame_times.append(interval)
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snap = col._compute_snapshot()
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assert abs(snap.frame_time_ms - interval * 1000) < 0.1
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def test_drop_detection(self):
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col = self._make_collector()
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# Seed with 10 normal frames at ~16 ms
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normal_interval = 0.016
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now = time.perf_counter()
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col._last_frame_time = now - normal_interval * 10
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for _ in range(9):
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col._last_frame_time += normal_interval
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col._frame_times.append(normal_interval)
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# Simulate a big gap (3× normal) — should trigger drop detection
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col._last_frame_time = now - normal_interval * 10 # reset base
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# Manually call on_frame-like logic
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with patch("app.telemetry.telemetry_collector.time") as mock_time:
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# Set last_frame_time to something reasonable
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col._last_frame_time = now
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big_delta = normal_interval * 5 # 5× average → drop
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mock_time.perf_counter.return_value = now + big_delta
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# Replicate the drop detection logic
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delta = big_delta
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col._frame_times.append(delta)
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avg = sum(col._frame_times) / len(col._frame_times)
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if delta > avg * 2.5:
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col._dropped_frames += 1
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assert col._dropped_frames == 1
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def test_reset_counters(self):
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col = self._make_collector()
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col._total_frames = 100
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col._dropped_frames = 5
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col._frame_times.append(0.016)
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col._fps_window.append(time.perf_counter())
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col.reset_counters()
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assert col._total_frames == 0
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assert col._dropped_frames == 0
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assert len(col._frame_times) == 0
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assert len(col._fps_window) == 0
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def test_snapshot_memory_mb(self):
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col = self._make_collector()
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snap = col._compute_snapshot()
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assert snap.memory_mb == 50.0
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