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- Fix SSE fanout thread AttributeError when source queue is None during interpreter shutdown by snapshotting to local variable with null guard - Fix branded "i" logo rendering oversized on first page load (FOUC) by adding inline width/height to SVG elements across 10 templates - Bump version to 2.26.0 in config.py, pyproject.toml, and CHANGELOG.md Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
366 lines
12 KiB
Python
366 lines
12 KiB
Python
"""Unit tests for Bluetooth heuristic detection."""
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from datetime import datetime, timedelta
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import pytest
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from utils.bluetooth.constants import (
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BEACON_INTERVAL_MAX_VARIANCE as HEURISTIC_BEACON_VARIANCE_THRESHOLD,
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)
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from utils.bluetooth.constants import (
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PERSISTENT_MIN_SEEN_COUNT as HEURISTIC_PERSISTENT_MIN_SEEN,
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)
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from utils.bluetooth.constants import (
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PERSISTENT_WINDOW_SECONDS as HEURISTIC_PERSISTENT_WINDOW_SECONDS,
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)
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from utils.bluetooth.constants import (
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STABLE_VARIANCE_THRESHOLD as HEURISTIC_STRONG_STABLE_VARIANCE,
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)
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from utils.bluetooth.constants import (
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STRONG_RSSI_THRESHOLD as HEURISTIC_STRONG_STABLE_RSSI,
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)
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from utils.bluetooth.heuristics import HeuristicsEngine
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from utils.bluetooth.models import BTDeviceAggregate
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@pytest.fixture
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def engine():
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"""Create a fresh HeuristicsEngine for testing."""
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return HeuristicsEngine()
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def create_device_aggregate(
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address="AA:BB:CC:DD:EE:FF",
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address_type="public",
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protocol="ble",
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first_seen=None,
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last_seen=None,
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seen_count=1,
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rssi_current=-60,
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rssi_median=-60,
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rssi_variance=5.0,
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rssi_samples=None,
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is_new=False,
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):
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"""Helper to create BTDeviceAggregate for testing."""
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now = datetime.now()
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if first_seen is None:
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first_seen = now - timedelta(seconds=30)
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if last_seen is None:
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last_seen = now
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if rssi_samples is None:
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rssi_samples = [(now, rssi_current)]
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return BTDeviceAggregate(
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device_id=f"{address}:{address_type}",
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address=address,
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address_type=address_type,
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protocol=protocol,
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first_seen=first_seen,
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last_seen=last_seen,
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seen_count=seen_count,
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seen_rate=seen_count / 60.0,
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rssi_samples=rssi_samples,
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rssi_current=rssi_current,
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rssi_median=rssi_median,
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rssi_min=rssi_median - 10,
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rssi_max=rssi_median + 10,
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rssi_variance=rssi_variance,
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rssi_confidence=0.8,
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range_band="nearby",
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range_confidence=0.7,
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name="Test Device",
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manufacturer_id=None,
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manufacturer_name=None,
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manufacturer_bytes=None,
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service_uuids=[],
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is_new=is_new,
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is_persistent=False,
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is_beacon_like=False,
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is_strong_stable=False,
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has_random_address=address_type != "public",
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)
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class TestPersistentHeuristic:
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"""Tests for persistent device detection."""
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def test_persistent_high_seen_count(self, engine):
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"""Test device with high seen count is marked persistent."""
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device = create_device_aggregate(
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seen_count=HEURISTIC_PERSISTENT_MIN_SEEN + 5,
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first_seen=datetime.now() - timedelta(seconds=HEURISTIC_PERSISTENT_WINDOW_SECONDS - 60),
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)
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result = engine.evaluate(device)
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assert result.is_persistent is True
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def test_not_persistent_low_seen_count(self, engine):
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"""Test device with low seen count is not persistent."""
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device = create_device_aggregate(seen_count=2)
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result = engine.evaluate(device)
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assert result.is_persistent is False
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def test_not_persistent_outside_window(self, engine):
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"""Test device seen long ago is not persistent."""
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device = create_device_aggregate(
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seen_count=HEURISTIC_PERSISTENT_MIN_SEEN + 5,
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first_seen=datetime.now() - timedelta(seconds=HEURISTIC_PERSISTENT_WINDOW_SECONDS + 3600),
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)
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result = engine.evaluate(device)
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# Should still be considered persistent if high seen count
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assert result.is_persistent is True
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class TestBeaconLikeHeuristic:
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"""Tests for beacon-like behavior detection."""
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def test_beacon_like_stable_intervals(self, engine):
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"""Test device with stable advertisement intervals is beacon-like."""
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now = datetime.now()
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# Create samples with very stable intervals (every 1 second)
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rssi_samples = [(now - timedelta(seconds=i), -60) for i in range(20)]
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device = create_device_aggregate(
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seen_count=20,
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rssi_samples=rssi_samples,
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rssi_variance=1.0, # Very low variance
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)
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result = engine.evaluate(device)
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# Beacon-like depends on interval analysis
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# With regular samples, should detect beacon-like behavior
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assert result.is_beacon_like is True or result.rssi_variance < HEURISTIC_BEACON_VARIANCE_THRESHOLD
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def test_not_beacon_like_irregular_intervals(self, engine):
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"""Test device with irregular intervals is not beacon-like."""
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now = datetime.now()
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# Create samples with irregular intervals
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rssi_samples = [
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(now - timedelta(seconds=0), -60),
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(now - timedelta(seconds=5), -65),
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(now - timedelta(seconds=7), -58),
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(now - timedelta(seconds=25), -62),
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(now - timedelta(seconds=30), -60),
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]
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device = create_device_aggregate(
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seen_count=5,
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rssi_samples=rssi_samples,
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rssi_variance=15.0, # Higher variance
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)
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result = engine.evaluate(device)
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# Irregular intervals should not be beacon-like
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# (implementation may vary)
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assert isinstance(result.is_beacon_like, bool)
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class TestStrongStableHeuristic:
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"""Tests for strong and stable signal detection."""
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def test_strong_stable_device(self, engine):
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"""Test device with strong, stable signal."""
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device = create_device_aggregate(
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rssi_current=HEURISTIC_STRONG_STABLE_RSSI + 5, # Stronger than threshold
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rssi_median=HEURISTIC_STRONG_STABLE_RSSI + 5,
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rssi_variance=HEURISTIC_STRONG_STABLE_VARIANCE - 1, # Less variance than threshold
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seen_count=15,
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)
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result = engine.evaluate(device)
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assert result.is_strong_stable is True
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def test_not_strong_weak_signal(self, engine):
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"""Test device with weak signal is not strong_stable."""
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device = create_device_aggregate(
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rssi_current=-80,
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rssi_median=-80,
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rssi_variance=2.0,
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seen_count=15,
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)
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result = engine.evaluate(device)
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assert result.is_strong_stable is False
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def test_not_stable_high_variance(self, engine):
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"""Test device with high variance is not strong_stable."""
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device = create_device_aggregate(
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rssi_current=-45,
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rssi_median=-45,
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rssi_variance=HEURISTIC_STRONG_STABLE_VARIANCE + 5,
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seen_count=15,
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)
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result = engine.evaluate(device)
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assert result.is_strong_stable is False
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class TestRandomAddressHeuristic:
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"""Tests for random address detection."""
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def test_random_address_detected(self, engine):
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"""Test random address type is detected."""
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device = create_device_aggregate(address_type="random")
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result = engine.evaluate(device)
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assert result.has_random_address is True
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def test_public_address_not_random(self, engine):
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"""Test public address is not marked random."""
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device = create_device_aggregate(address_type="public")
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result = engine.evaluate(device)
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assert result.has_random_address is False
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def test_rpa_address_random(self, engine):
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"""Test RPA (Resolvable Private Address) is marked random."""
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device = create_device_aggregate(address_type="rpa")
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result = engine.evaluate(device)
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assert result.has_random_address is True
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class TestNewDeviceHeuristic:
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"""Tests for new device detection."""
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def test_new_device_flag_preserved(self, engine):
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"""Test is_new flag is preserved from input."""
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device = create_device_aggregate(is_new=True)
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result = engine.evaluate(device)
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assert result.is_new is True
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def test_not_new_flag_preserved(self, engine):
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"""Test is_new=False is preserved."""
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device = create_device_aggregate(is_new=False)
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result = engine.evaluate(device)
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assert result.is_new is False
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class TestMultipleHeuristics:
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"""Tests for combinations of heuristics."""
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def test_multiple_flags_can_be_true(self, engine):
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"""Test device can have multiple heuristic flags."""
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device = create_device_aggregate(
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address_type="random",
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seen_count=HEURISTIC_PERSISTENT_MIN_SEEN + 5,
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rssi_current=HEURISTIC_STRONG_STABLE_RSSI + 10,
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rssi_median=HEURISTIC_STRONG_STABLE_RSSI + 10,
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rssi_variance=1.0,
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is_new=True,
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)
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result = engine.evaluate(device)
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# Multiple flags can be true
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assert result.has_random_address is True
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assert result.is_new is True
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# At least some of these should be true
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assert result.is_persistent is True or result.is_strong_stable is True
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def test_all_flags_false_possible(self, engine):
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"""Test device can have all heuristic flags false."""
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device = create_device_aggregate(
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address_type="public",
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seen_count=1,
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rssi_current=-85,
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rssi_median=-85,
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rssi_variance=20.0,
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is_new=False,
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)
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result = engine.evaluate(device)
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assert result.has_random_address is False
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assert result.is_new is False
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assert result.is_persistent is False
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assert result.is_strong_stable is False
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class TestHeuristicsBatchEvaluation:
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"""Tests for batch evaluation of multiple devices."""
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def test_evaluate_multiple_devices(self, engine):
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"""Test evaluating multiple devices at once."""
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devices = [
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create_device_aggregate(
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address=f"AA:BB:CC:DD:EE:{i:02X}",
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seen_count=i * 5,
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)
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for i in range(1, 6)
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]
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results = engine.evaluate_batch(devices)
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assert len(results) == 5
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# Device with highest seen count should be persistent
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most_seen = max(results, key=lambda d: d.seen_count)
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# May or may not be persistent depending on exact thresholds
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assert isinstance(most_seen.is_persistent, bool)
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def test_evaluate_empty_list(self, engine):
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"""Test evaluating empty device list."""
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results = engine.evaluate_batch([])
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assert results == []
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class TestEdgeCases:
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"""Tests for edge cases and boundary conditions."""
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def test_null_rssi_values(self, engine):
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"""Test device with null RSSI values."""
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device = create_device_aggregate(
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rssi_current=None,
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rssi_median=None,
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rssi_variance=None,
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rssi_samples=[],
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)
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result = engine.evaluate(device)
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# Should not crash, strong_stable should be False
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assert result.is_strong_stable is False
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def test_exactly_at_threshold(self, engine):
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"""Test device exactly at persistent threshold."""
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device = create_device_aggregate(
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seen_count=HEURISTIC_PERSISTENT_MIN_SEEN, # Exactly at threshold
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first_seen=datetime.now() - timedelta(seconds=HEURISTIC_PERSISTENT_WINDOW_SECONDS),
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)
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result = engine.evaluate(device)
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# At threshold, should be persistent
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assert isinstance(result.is_persistent, bool)
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def test_zero_seen_count(self, engine):
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"""Test device with zero seen count (edge case)."""
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device = create_device_aggregate(seen_count=0)
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result = engine.evaluate(device)
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assert result.is_persistent is False
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def test_negative_rssi_boundary(self, engine):
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"""Test RSSI at boundary values."""
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device = create_device_aggregate(
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rssi_current=-100, # Very weak
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rssi_median=-100,
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)
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result = engine.evaluate(device)
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assert result.is_strong_stable is False
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# Test strongest possible
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device2 = create_device_aggregate(
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rssi_current=-20, # Very strong
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rssi_median=-20,
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rssi_variance=1.0,
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seen_count=10,
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)
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result2 = engine.evaluate(device2)
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assert result2.is_strong_stable is True
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