Hands-On: Complete SOTIF Analysis

"""Complete SOTIF analysis pipeline for Lane Keeping Assist."""

LKA_ODD = {
    "speed_kmh":       {"min": 60, "max": 130},
    "road_types":      ["motorway", "dual_carriageway"],
    "lane_marking":    "visible_and_painted",
    "weather":         {"rain_max_mmh": 2, "fog_vis_min_m": 200},
    "lighting":        ["daylight", "well_lit_night"],
}

LKA_TC_REGISTER = [
    {"id":"LKA_TC_001","cat":"Road",    "desc":"Faded lane markings","severity":2},
    {"id":"LKA_TC_002","cat":"Road",    "desc":"Construction zone: temporary markings","severity":3},
    {"id":"LKA_TC_003","cat":"Weather", "desc":"Rain streaks on camera","severity":2},
    {"id":"LKA_TC_004","cat":"Lighting","desc":"Sun glare on wet road surface","severity":3},
    {"id":"LKA_TC_005","cat":"Road",    "desc":"Multiple parallel road markings","severity":2},
    {"id":"LKA_TC_006","cat":"Human",   "desc":"Driver inattention: not monitoring steering","severity":3},
    {"id":"LKA_TC_007","cat":"Target",  "desc":"Road edge matching lane marking width","severity":2},
    {"id":"LKA_TC_008","cat":"Human",   "desc":"Driver over-corrects during LKA correction","severity":2},
]

LKA_ACCEPTANCE_CRITERIA = [
    {"id":"AC_LKA_001","desc":"Lane detection loss < 0.5% in dry daylight","target": 0.005},
    {"id":"AC_LKA_002","desc":"False intervention rate < 0.1/100km","target": 0.001},
    {"id":"AC_LKA_003","desc":"Scenario coverage > 90%","target": 0.90},
]

print("LKA SOTIF Analysis Summary:")
print(f"  ODD parameters: {len(LKA_ODD)} categories")
print(f"  Triggering conditions: {len(LKA_TC_REGISTER)}")
print(f"  Acceptance criteria: {len(LKA_ACCEPTANCE_CRITERIA)}")
critical = [t for t in LKA_TC_REGISTER if t["severity"] == 3]
print(f"  S3 (fatal) TCs requiring priority analysis: {len(critical)}")

"""SOTIF release decision: verify all criteria and argument completeness."""

EVIDENCE_SUMMARY = {
    "simulation_scenarios":  3500,
    "simulation_pass_rate":  0.998,  # 0.2% failure (above limit)
    "track_scenarios":       120,
    "track_pass_rate":       1.0,
    "public_road_km":        55000,
    "false_intervention_per_100km": 0.05,
    "new_q4_discovered":     0,
    "q2_unresolved":         0,
    "lane_detection_loss_pct": 0.003,
}

def release_decision(evidence: dict) -> str:
    issues = []
    if evidence["simulation_pass_rate"] < 0.995:
        issues.append(f"Sim pass rate {evidence['simulation_pass_rate']:.3f} < 0.995")
    if evidence["q2_unresolved"] > 0:
        issues.append(f"{evidence['q2_unresolved']} unresolved Q2 scenarios")
    if evidence["lane_detection_loss_pct"] >= 0.005:
        issues.append("Lane detection loss exceeds AC_LKA_001 target")
    if issues:
        return "NOT APPROVED: " + "; ".join(issues)
    return "APPROVED: All SOTIF acceptance criteria met"

decision = release_decision(EVIDENCE_SUMMARY)
print(f"SOTIF Release Decision: {decision}")