|
| 1 | +""" |
| 2 | +IX-HapticSight — Tests for normalized force/torque interface models. |
| 3 | +
|
| 4 | +These tests verify that the backend-agnostic force/torque layer can: |
| 5 | +- normalize 3-axis force and torque payloads |
| 6 | +- compute magnitudes correctly |
| 7 | +- expose freshness/health usability checks |
| 8 | +- derive compact contact-force assessments |
| 9 | +""" |
| 10 | + |
| 11 | +import math |
| 12 | +import os |
| 13 | +import sys |
| 14 | + |
| 15 | +# Make project packages importable without packaging/install |
| 16 | +sys.path.insert(0, os.path.abspath("src")) |
| 17 | + |
| 18 | +from ohip_interfaces.force_torque import ( # noqa: E402 |
| 19 | + ForceTorqueSample, |
| 20 | + assess_contact_force, |
| 21 | + make_force_torque_sample, |
| 22 | +) |
| 23 | +from ohip_interfaces.signal_health import ( # noqa: E402 |
| 24 | + FreshnessPolicy, |
| 25 | + SignalHealth, |
| 26 | + SignalQuality, |
| 27 | + SignalSourceMode, |
| 28 | +) |
| 29 | + |
| 30 | + |
| 31 | +def make_quality(*, sample_t: float = 100.0, received_t: float = 100.01) -> SignalQuality: |
| 32 | + return SignalQuality( |
| 33 | + source_mode=SignalSourceMode.LIVE, |
| 34 | + health=SignalHealth.NOMINAL, |
| 35 | + sample_timestamp_utc_s=sample_t, |
| 36 | + received_timestamp_utc_s=received_t, |
| 37 | + sequence_id=7, |
| 38 | + source_name="wrist_ft", |
| 39 | + frame="tool0", |
| 40 | + ) |
| 41 | + |
| 42 | + |
| 43 | +def test_make_force_torque_sample_normalizes_vectors(): |
| 44 | + sample = make_force_torque_sample( |
| 45 | + frame="tool0", |
| 46 | + force_xyz=[0.3, 0.4, 0.0], |
| 47 | + torque_xyz=[0.0, 0.0, 0.2], |
| 48 | + quality=make_quality(), |
| 49 | + ) |
| 50 | + |
| 51 | + assert isinstance(sample, ForceTorqueSample) |
| 52 | + assert sample.frame == "tool0" |
| 53 | + assert sample.force.x == 0.3 |
| 54 | + assert sample.force.y == 0.4 |
| 55 | + assert sample.force.z == 0.0 |
| 56 | + assert sample.torque.z == 0.2 |
| 57 | + |
| 58 | + |
| 59 | +def test_force_and_torque_magnitudes_are_computed_correctly(): |
| 60 | + sample = make_force_torque_sample( |
| 61 | + frame="tool0", |
| 62 | + force_xyz=[0.3, 0.4, 0.0], |
| 63 | + torque_xyz=[0.0, 0.0, 0.5], |
| 64 | + quality=make_quality(), |
| 65 | + ) |
| 66 | + |
| 67 | + assert math.isclose(sample.force_magnitude_N(), 0.5, rel_tol=0.0, abs_tol=1e-12) |
| 68 | + assert math.isclose(sample.torque_magnitude_Nm(), 0.5, rel_tol=0.0, abs_tol=1e-12) |
| 69 | + |
| 70 | + |
| 71 | +def test_force_torque_sample_respects_freshness_and_usability(): |
| 72 | + policy = FreshnessPolicy(max_age_ms=250, required=True) |
| 73 | + |
| 74 | + fresh_sample = make_force_torque_sample( |
| 75 | + frame="tool0", |
| 76 | + force_xyz=[0.1, 0.1, 0.1], |
| 77 | + torque_xyz=[0.0, 0.0, 0.0], |
| 78 | + quality=make_quality(sample_t=50.0, received_t=50.002), |
| 79 | + ) |
| 80 | + assert fresh_sample.is_fresh(policy, now_utc_s=50.20) is True |
| 81 | + assert fresh_sample.is_usable(policy, now_utc_s=50.20) is True |
| 82 | + |
| 83 | + stale_sample = make_force_torque_sample( |
| 84 | + frame="tool0", |
| 85 | + force_xyz=[0.1, 0.1, 0.1], |
| 86 | + torque_xyz=[0.0, 0.0, 0.0], |
| 87 | + quality=make_quality(sample_t=50.0, received_t=50.002), |
| 88 | + ) |
| 89 | + assert stale_sample.is_fresh(policy, now_utc_s=50.30) is False |
| 90 | + assert stale_sample.is_usable(policy, now_utc_s=50.30) is False |
| 91 | + |
| 92 | + |
| 93 | +def test_assess_contact_force_detects_contact_and_excessive_force(): |
| 94 | + sample = make_force_torque_sample( |
| 95 | + frame="tool0", |
| 96 | + force_xyz=[0.0, 0.0, 1.25], |
| 97 | + torque_xyz=[0.0, 0.1, 0.0], |
| 98 | + quality=make_quality(), |
| 99 | + ) |
| 100 | + |
| 101 | + assessment = assess_contact_force( |
| 102 | + sample, |
| 103 | + contact_threshold_N=0.25, |
| 104 | + excessive_threshold_N=1.0, |
| 105 | + ) |
| 106 | + |
| 107 | + assert assessment.contact_detected is True |
| 108 | + assert assessment.excessive_force is True |
| 109 | + assert math.isclose(assessment.force_magnitude_N, 1.25, rel_tol=0.0, abs_tol=1e-12) |
| 110 | + assert math.isclose(assessment.torque_magnitude_Nm, 0.1, rel_tol=0.0, abs_tol=1e-12) |
| 111 | + assert assessment.threshold_contact_N == 0.25 |
| 112 | + assert assessment.threshold_excessive_N == 1.0 |
| 113 | + |
| 114 | + |
| 115 | +def test_assess_contact_force_can_report_no_contact(): |
| 116 | + sample = make_force_torque_sample( |
| 117 | + frame="tool0", |
| 118 | + force_xyz=[0.05, 0.05, 0.05], |
| 119 | + torque_xyz=[0.0, 0.0, 0.0], |
| 120 | + quality=make_quality(), |
| 121 | + ) |
| 122 | + |
| 123 | + assessment = assess_contact_force( |
| 124 | + sample, |
| 125 | + contact_threshold_N=0.25, |
| 126 | + excessive_threshold_N=1.0, |
| 127 | + ) |
| 128 | + |
| 129 | + assert assessment.contact_detected is False |
| 130 | + assert assessment.excessive_force is False |
| 131 | + assert assessment.force_magnitude_N < 0.25 |
| 132 | + |
| 133 | + |
| 134 | +def test_make_force_torque_sample_rejects_bad_vector_lengths(): |
| 135 | + try: |
| 136 | + make_force_torque_sample( |
| 137 | + frame="tool0", |
| 138 | + force_xyz=[1.0, 2.0], |
| 139 | + torque_xyz=[0.0, 0.0, 0.0], |
| 140 | + quality=make_quality(), |
| 141 | + ) |
| 142 | + raised_force = False |
| 143 | + except ValueError: |
| 144 | + raised_force = True |
| 145 | + |
| 146 | + try: |
| 147 | + make_force_torque_sample( |
| 148 | + frame="tool0", |
| 149 | + force_xyz=[0.0, 0.0, 0.0], |
| 150 | + torque_xyz=[1.0, 2.0], |
| 151 | + quality=make_quality(), |
| 152 | + ) |
| 153 | + raised_torque = False |
| 154 | + except ValueError: |
| 155 | + raised_torque = True |
| 156 | + |
| 157 | + assert raised_force is True |
| 158 | + assert raised_torque is True |
| 159 | + |
| 160 | + |
| 161 | +def test_assess_contact_force_rejects_invalid_thresholds(): |
| 162 | + sample = make_force_torque_sample( |
| 163 | + frame="tool0", |
| 164 | + force_xyz=[0.0, 0.0, 0.5], |
| 165 | + torque_xyz=[0.0, 0.0, 0.0], |
| 166 | + quality=make_quality(), |
| 167 | + ) |
| 168 | + |
| 169 | + try: |
| 170 | + assess_contact_force(sample, contact_threshold_N=-0.1, excessive_threshold_N=1.0) |
| 171 | + raised_negative = False |
| 172 | + except ValueError: |
| 173 | + raised_negative = True |
| 174 | + |
| 175 | + try: |
| 176 | + assess_contact_force(sample, contact_threshold_N=1.0, excessive_threshold_N=0.5) |
| 177 | + raised_order = False |
| 178 | + except ValueError: |
| 179 | + raised_order = True |
| 180 | + |
| 181 | + assert raised_negative is True |
| 182 | + assert raised_order is True |
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