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https://github.com/ruvnet/RuView.git
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5bd0d59aa6
P1 fixes (this sprint): - P1-6: Extract sensing-server modules (cli, types, csi, pose) from main.rs - P1-7: DDA ray march for tomography — O(max(n)) replaces O(n^3) voxel scan - P1-8: Batch neural inference — Tensor::stack/split for single GPU call - P1-10: Eliminate 112KB/frame alloc — islice replaces deque→list copy P2 fixes (this quarter): - P2-11: Python unit tests for 8 modules (rate_limit, auth, error_handler, pose_service, stream_service, hardware_service, health_check, metrics) - P2-13: MAT simulated data safety guard — blocking overlay + pulsing banner - P2-14: Wire token blacklist into auth verification + logout endpoint - P2-15: Frame budget benchmark — confirms pipeline well under 50ms budget Addresses 8 of 10 remaining issues from QE analysis (ADR-080). Co-Authored-By: claude-flow <ruv@ruv.net>
70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
"""Tests for MetricsService."""
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import pytest
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from datetime import timedelta
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from unittest.mock import MagicMock, patch
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class TestMetricSeries:
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def test_add_point(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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ms.add_point(42.0)
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assert len(ms.points) == 1
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assert ms.points[0].value == 42.0
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def test_get_latest(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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ms.add_point(1.0)
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ms.add_point(2.0)
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latest = ms.get_latest()
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assert latest is not None
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assert latest.value == 2.0
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def test_get_latest_empty(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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assert ms.get_latest() is None
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def test_get_average(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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for v in [10.0, 20.0, 30.0]:
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ms.add_point(v)
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avg = ms.get_average(timedelta(minutes=5))
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assert avg == pytest.approx(20.0)
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def test_get_average_empty(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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assert ms.get_average(timedelta(minutes=5)) is None
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def test_get_max(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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for v in [10.0, 50.0, 30.0]:
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ms.add_point(v)
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mx = ms.get_max(timedelta(minutes=5))
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assert mx == 50.0
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def test_labels(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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ms.add_point(1.0, {"region": "us-east"})
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assert ms.points[0].labels["region"] == "us-east"
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def test_maxlen(self):
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from src.services.metrics import MetricSeries
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ms = MetricSeries(name="test", description="desc", unit="ms")
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for i in range(1100):
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ms.add_point(float(i))
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assert len(ms.points) == 1000
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class TestMetricsService:
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def test_init(self, mock_settings):
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with patch("src.services.metrics.psutil"):
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from src.services.metrics import MetricsService
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svc = MetricsService(mock_settings)
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assert svc._metrics is not None
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