|
| 1 | +""" |
| 2 | +IX-HapticSight — Tests for normalized proximity interface models. |
| 3 | +
|
| 4 | +These tests verify that the backend-agnostic proximity layer can: |
| 5 | +- normalize proximity returns safely |
| 6 | +- compute nearest and range summaries |
| 7 | +- expose freshness/health usability checks |
| 8 | +- derive compact proximity assessments for near-contact and corridor checks |
| 9 | +""" |
| 10 | + |
| 11 | +import os |
| 12 | +import sys |
| 13 | + |
| 14 | +# Make project packages importable without packaging/install |
| 15 | +sys.path.insert(0, os.path.abspath("src")) |
| 16 | + |
| 17 | +from ohip_interfaces.proximity import ( # noqa: E402 |
| 18 | + ProximityFrame, |
| 19 | + assess_proximity, |
| 20 | + make_proximity_return, |
| 21 | +) |
| 22 | +from ohip_interfaces.signal_health import ( # noqa: E402 |
| 23 | + FreshnessPolicy, |
| 24 | + SignalHealth, |
| 25 | + SignalQuality, |
| 26 | + SignalSourceMode, |
| 27 | +) |
| 28 | + |
| 29 | + |
| 30 | +def make_quality(*, sample_t: float = 100.0, received_t: float = 100.01) -> SignalQuality: |
| 31 | + return SignalQuality( |
| 32 | + source_mode=SignalSourceMode.LIVE, |
| 33 | + health=SignalHealth.NOMINAL, |
| 34 | + sample_timestamp_utc_s=sample_t, |
| 35 | + received_timestamp_utc_s=received_t, |
| 36 | + sequence_id=31, |
| 37 | + source_name="forearm_proximity", |
| 38 | + frame="forearm_link", |
| 39 | + ) |
| 40 | + |
| 41 | + |
| 42 | +def test_make_proximity_return_normalizes_values(): |
| 43 | + prox = make_proximity_return( |
| 44 | + zone_id="z1", |
| 45 | + distance_mm=85.0, |
| 46 | + direction_xyz=[0.0, 0.0, 1.0], |
| 47 | + point_xyz=[0.01, 0.02, 0.03], |
| 48 | + confidence=0.9, |
| 49 | + ) |
| 50 | + |
| 51 | + assert prox.zone_id == "z1" |
| 52 | + assert prox.distance_mm == 85.0 |
| 53 | + assert prox.direction_xyz.z == 1.0 |
| 54 | + assert prox.point_xyz is not None |
| 55 | + assert prox.point_xyz.x == 0.01 |
| 56 | + assert prox.point_xyz.y == 0.02 |
| 57 | + assert prox.point_xyz.z == 0.03 |
| 58 | + assert prox.confidence == 0.9 |
| 59 | + |
| 60 | + |
| 61 | +def test_proximity_frame_summaries_work_for_multiple_returns(): |
| 62 | + ret_a = make_proximity_return( |
| 63 | + zone_id="a", |
| 64 | + distance_mm=120.0, |
| 65 | + direction_xyz=[1.0, 0.0, 0.0], |
| 66 | + confidence=0.8, |
| 67 | + ) |
| 68 | + ret_b = make_proximity_return( |
| 69 | + zone_id="b", |
| 70 | + distance_mm=55.0, |
| 71 | + direction_xyz=[0.0, 1.0, 0.0], |
| 72 | + confidence=1.0, |
| 73 | + ) |
| 74 | + ret_c = make_proximity_return( |
| 75 | + zone_id="c", |
| 76 | + distance_mm=200.0, |
| 77 | + direction_xyz=[0.0, 0.0, 1.0], |
| 78 | + confidence=0.7, |
| 79 | + ) |
| 80 | + |
| 81 | + frame = ProximityFrame( |
| 82 | + sensor_name="forearm_ring", |
| 83 | + frame="forearm_link", |
| 84 | + quality=make_quality(), |
| 85 | + returns=(ret_a, ret_b, ret_c), |
| 86 | + ) |
| 87 | + |
| 88 | + assert frame.return_count() == 3 |
| 89 | + assert frame.has_returns() is True |
| 90 | + assert frame.min_distance_mm() == 55.0 |
| 91 | + assert frame.max_distance_mm() == 200.0 |
| 92 | + nearest = frame.nearest_return() |
| 93 | + assert nearest is not None |
| 94 | + assert nearest.zone_id == "b" |
| 95 | + assert nearest.distance_mm == 55.0 |
| 96 | + |
| 97 | + |
| 98 | +def test_proximity_frame_handles_empty_returns(): |
| 99 | + frame = ProximityFrame( |
| 100 | + sensor_name="forearm_ring", |
| 101 | + frame="forearm_link", |
| 102 | + quality=make_quality(), |
| 103 | + returns=(), |
| 104 | + ) |
| 105 | + |
| 106 | + assert frame.return_count() == 0 |
| 107 | + assert frame.has_returns() is False |
| 108 | + assert frame.min_distance_mm() is None |
| 109 | + assert frame.max_distance_mm() is None |
| 110 | + assert frame.nearest_return() is None |
| 111 | + |
| 112 | + |
| 113 | +def test_proximity_frame_respects_freshness_and_usability(): |
| 114 | + policy = FreshnessPolicy(max_age_ms=250, required=True) |
| 115 | + |
| 116 | + frame = ProximityFrame( |
| 117 | + sensor_name="palm_ring", |
| 118 | + frame="palm_link", |
| 119 | + quality=make_quality(sample_t=50.0, received_t=50.002), |
| 120 | + returns=(), |
| 121 | + ) |
| 122 | + |
| 123 | + assert frame.is_fresh(policy, now_utc_s=50.20) is True |
| 124 | + assert frame.is_usable(policy, now_utc_s=50.20) is True |
| 125 | + assert frame.is_fresh(policy, now_utc_s=50.30) is False |
| 126 | + assert frame.is_usable(policy, now_utc_s=50.30) is False |
| 127 | + |
| 128 | + |
| 129 | +def test_assess_proximity_detects_near_contact_and_stop_zone(): |
| 130 | + ret_a = make_proximity_return( |
| 131 | + zone_id="a", |
| 132 | + distance_mm=35.0, |
| 133 | + direction_xyz=[1.0, 0.0, 0.0], |
| 134 | + confidence=1.0, |
| 135 | + ) |
| 136 | + ret_b = make_proximity_return( |
| 137 | + zone_id="b", |
| 138 | + distance_mm=90.0, |
| 139 | + direction_xyz=[0.0, 1.0, 0.0], |
| 140 | + confidence=1.0, |
| 141 | + ) |
| 142 | + |
| 143 | + frame = ProximityFrame( |
| 144 | + sensor_name="wrist_ring", |
| 145 | + frame="tool0", |
| 146 | + quality=make_quality(), |
| 147 | + returns=(ret_a, ret_b), |
| 148 | + ) |
| 149 | + |
| 150 | + assessment = assess_proximity( |
| 151 | + frame, |
| 152 | + caution_distance_mm=120.0, |
| 153 | + stop_distance_mm=40.0, |
| 154 | + ) |
| 155 | + |
| 156 | + assert assessment.object_detected is True |
| 157 | + assert assessment.near_contact is True |
| 158 | + assert assessment.corridor_clear is False |
| 159 | + assert assessment.return_count == 2 |
| 160 | + assert assessment.nearest_distance_mm == 35.0 |
| 161 | + assert assessment.caution_distance_mm == 120.0 |
| 162 | + assert assessment.stop_distance_mm == 40.0 |
| 163 | + |
| 164 | + |
| 165 | +def test_assess_proximity_can_report_caution_without_stop_violation(): |
| 166 | + ret = make_proximity_return( |
| 167 | + zone_id="only", |
| 168 | + distance_mm=75.0, |
| 169 | + direction_xyz=[0.0, 0.0, 1.0], |
| 170 | + confidence=0.95, |
| 171 | + ) |
| 172 | + |
| 173 | + frame = ProximityFrame( |
| 174 | + sensor_name="wrist_ring", |
| 175 | + frame="tool0", |
| 176 | + quality=make_quality(), |
| 177 | + returns=(ret,), |
| 178 | + ) |
| 179 | + |
| 180 | + assessment = assess_proximity( |
| 181 | + frame, |
| 182 | + caution_distance_mm=120.0, |
| 183 | + stop_distance_mm=40.0, |
| 184 | + ) |
| 185 | + |
| 186 | + assert assessment.object_detected is True |
| 187 | + assert assessment.near_contact is True |
| 188 | + assert assessment.corridor_clear is True |
| 189 | + assert assessment.nearest_distance_mm == 75.0 |
| 190 | + |
| 191 | + |
| 192 | +def test_assess_proximity_can_report_clear_corridor_when_no_returns(): |
| 193 | + frame = ProximityFrame( |
| 194 | + sensor_name="wrist_ring", |
| 195 | + frame="tool0", |
| 196 | + quality=make_quality(), |
| 197 | + returns=(), |
| 198 | + ) |
| 199 | + |
| 200 | + assessment = assess_proximity( |
| 201 | + frame, |
| 202 | + caution_distance_mm=120.0, |
| 203 | + stop_distance_mm=40.0, |
| 204 | + ) |
| 205 | + |
| 206 | + assert assessment.object_detected is False |
| 207 | + assert assessment.near_contact is False |
| 208 | + assert assessment.corridor_clear is True |
| 209 | + assert assessment.return_count == 0 |
| 210 | + assert assessment.nearest_distance_mm is None |
| 211 | + |
| 212 | + |
| 213 | +def test_make_proximity_return_rejects_invalid_inputs(): |
| 214 | + try: |
| 215 | + make_proximity_return( |
| 216 | + zone_id="bad-dir", |
| 217 | + distance_mm=50.0, |
| 218 | + direction_xyz=[1.0, 0.0], |
| 219 | + ) |
| 220 | + bad_dir = False |
| 221 | + except ValueError: |
| 222 | + bad_dir = True |
| 223 | + |
| 224 | + try: |
| 225 | + make_proximity_return( |
| 226 | + zone_id="bad-point", |
| 227 | + distance_mm=50.0, |
| 228 | + direction_xyz=[1.0, 0.0, 0.0], |
| 229 | + point_xyz=[0.0, 1.0], |
| 230 | + ) |
| 231 | + bad_point = False |
| 232 | + except ValueError: |
| 233 | + bad_point = True |
| 234 | + |
| 235 | + try: |
| 236 | + make_proximity_return( |
| 237 | + zone_id="bad-distance", |
| 238 | + distance_mm=-1.0, |
| 239 | + direction_xyz=[1.0, 0.0, 0.0], |
| 240 | + ) |
| 241 | + bad_distance = False |
| 242 | + except ValueError: |
| 243 | + bad_distance = True |
| 244 | + |
| 245 | + try: |
| 246 | + make_proximity_return( |
| 247 | + zone_id="bad-confidence-low", |
| 248 | + distance_mm=10.0, |
| 249 | + direction_xyz=[1.0, 0.0, 0.0], |
| 250 | + confidence=-0.1, |
| 251 | + ) |
| 252 | + bad_conf_low = False |
| 253 | + except ValueError: |
| 254 | + bad_conf_low = True |
| 255 | + |
| 256 | + try: |
| 257 | + make_proximity_return( |
| 258 | + zone_id="bad-confidence-high", |
| 259 | + distance_mm=10.0, |
| 260 | + direction_xyz=[1.0, 0.0, 0.0], |
| 261 | + confidence=1.1, |
| 262 | + ) |
| 263 | + bad_conf_high = False |
| 264 | + except ValueError: |
| 265 | + bad_conf_high = True |
| 266 | + |
| 267 | + assert bad_dir is True |
| 268 | + assert bad_point is True |
| 269 | + assert bad_distance is True |
| 270 | + assert bad_conf_low is True |
| 271 | + assert bad_conf_high is True |
| 272 | + |
| 273 | + |
| 274 | +def test_assess_proximity_rejects_invalid_thresholds(): |
| 275 | + frame = ProximityFrame( |
| 276 | + sensor_name="ring", |
| 277 | + frame="tool0", |
| 278 | + quality=make_quality(), |
| 279 | + returns=(), |
| 280 | + ) |
| 281 | + |
| 282 | + try: |
| 283 | + assess_proximity( |
| 284 | + frame, |
| 285 | + caution_distance_mm=-1.0, |
| 286 | + stop_distance_mm=40.0, |
| 287 | + ) |
| 288 | + bad_caution = False |
| 289 | + except ValueError: |
| 290 | + bad_caution = True |
| 291 | + |
| 292 | + try: |
| 293 | + assess_proximity( |
| 294 | + frame, |
| 295 | + caution_distance_mm=120.0, |
| 296 | + stop_distance_mm=-1.0, |
| 297 | + ) |
| 298 | + bad_stop = False |
| 299 | + except ValueError: |
| 300 | + bad_stop = True |
| 301 | + |
| 302 | + try: |
| 303 | + assess_proximity( |
| 304 | + frame, |
| 305 | + caution_distance_mm=40.0, |
| 306 | + stop_distance_mm=120.0, |
| 307 | + ) |
| 308 | + bad_order = False |
| 309 | + except ValueError: |
| 310 | + bad_order = True |
| 311 | + |
| 312 | + assert bad_caution is True |
| 313 | + assert bad_stop is True |
| 314 | + assert bad_order is True |
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