"""Deterministic grader test — verifies all 8 scenarios with perfect play.""" import sys, os sys.path.insert(0, os.path.dirname(__file__)) from server.pathology_env_environment import PathologyEnvironment from models import PathologyAction def simulate_perfect(level, variant): """Simulate perfect agent play for a specific scenario.""" os.environ["TASK_LEVEL"] = level env = PathologyEnvironment() env.reset() # Force the variant we want to test env.task_variant = variant env._init_db() seeders = { ("easy", 0): env._seed_task_easy, ("easy", 1): env._seed_task_easy_b, ("easy", 2): env._seed_task_easy_c, ("medium", 0): env._seed_task_medium, ("medium", 1): env._seed_task_medium_b, ("medium", 2): env._seed_task_medium_c, ("hard", 0): env._seed_task_hard, ("hard", 1): env._seed_task_hard_b, } seeders[(level, variant)]() # Clear tracking from reset env.submitted_reports = [] env.flagged_criticals = [] env.queried_demographics = set() env.queried_medications = set() env.queried_lab_results = set() env.queried_previous = set() env.queried_references = set() # Perfect play sequences if level == "easy" and variant == 0: # Hyperkalemia actions = [ ("get_patient_demographics", {"patient_id": 1001}), ("get_medications", {"patient_id": 1001}), ("get_lab_results", {"order_id": "ORD-E001"}), ("query_reference_ranges", {"analyte": "Potassium", "context": {"sex": "M"}}), ("flag_critical_value", {"patient_id": 1001, "analyte": "Potassium", "value": 7.2, "alert_level": "CRITICAL"}), ("submit_diagnostic_report", {"patient_id": 1001, "icd_code": "E87.5", "severity": "CRITICAL", "clinical_notes": "Critical hyperkalemia K+ 7.2. Patient on ACE inhibitor with diabetes."}), ] elif level == "easy" and variant == 1: # Acute MI actions = [ ("get_patient_demographics", {"patient_id": 1005}), ("get_medications", {"patient_id": 1005}), ("get_lab_results", {"order_id": "ORD-EB01"}), ("query_reference_ranges", {"analyte": "Troponin_I", "context": {"sex": "M"}}), ("flag_critical_value", {"patient_id": 1005, "analyte": "Troponin_I", "value": 2.8, "alert_level": "CRITICAL"}), ("submit_diagnostic_report", {"patient_id": 1005, "icd_code": "I21.9", "severity": "CRITICAL", "clinical_notes": "Troponin I 2.8 ng/mL, CK-MB 45. Acute myocardial infarction."}), ] elif level == "easy" and variant == 2: # Severe Anemia actions = [ ("get_patient_demographics", {"patient_id": 1006}), ("get_lab_results", {"order_id": "ORD-EC01"}), ("query_reference_ranges", {"analyte": "Hemoglobin", "context": {"sex": "F"}}), ("get_previous_results", {"patient_id": 1006}), ("flag_critical_value", {"patient_id": 1006, "analyte": "Hemoglobin", "value": 6.2, "alert_level": "CRITICAL_LOW"}), ("submit_diagnostic_report", {"patient_id": 1006, "icd_code": "D50.9", "severity": "CRITICAL", "clinical_notes": "Severe iron deficiency anemia Hb 6.2, declining from 11.0."}), ] elif level == "medium" and variant == 0: # Pregnancy Hb actions = [ ("get_patient_demographics", {"patient_id": 1002}), ("get_medications", {"patient_id": 1002}), ("query_reference_ranges", {"analyte": "Hemoglobin", "context": {"sex": "F", "flags": ["pregnant"]}}), ("submit_diagnostic_report", {"patient_id": 1002, "icd_code": "NORMAL", "severity": "INFO", "clinical_notes": "Hb 11.5 is normal for pregnant patient in 2nd trimester (adjusted range 11.0-14.0). " "Glucose 135 is borderline for gestational diabetes screening — monitor GDM."}), ] elif level == "medium" and variant == 1: # Warfarin INR actions = [ ("get_patient_demographics", {"patient_id": 1007}), ("get_medications", {"patient_id": 1007}), ("query_reference_ranges", {"analyte": "INR", "context": {"sex": "M", "flags": ["on_warfarin"]}}), ("get_previous_results", {"patient_id": 1007}), ("get_lab_results", {"order_id": "ORD-MB01"}), ("submit_diagnostic_report", {"patient_id": 1007, "icd_code": "T45.515A", "severity": "WARNING", "clinical_notes": "Supratherapeutic INR 4.8 (mechanical valve target 2.5-3.5). On Warfarin 7.5mg. " "Recommend dose adjustment or hold. Previous INR was 3.0."}), ] elif level == "medium" and variant == 2: # Drug-Induced K+ actions = [ ("get_patient_demographics", {"patient_id": 1008}), ("get_medications", {"patient_id": 1008}), ("query_reference_ranges", {"analyte": "Potassium", "context": {"sex": "F"}}), ("get_previous_results", {"patient_id": 1008}), ("get_lab_results", {"order_id": "ORD-MC01"}), ("submit_diagnostic_report", {"patient_id": 1008, "icd_code": "E87.5", "severity": "WARNING", "clinical_notes": "Drug-induced hyperkalemia K+ 5.8. Patient on Lisinopril (ACE inhibitor) and KCl supplement " "with CKD stage 3a (renal impairment). Medication review recommended."}), ] elif level == "hard" and variant == 0: # DIC actions = [ ("get_patient_demographics", {"patient_id": 1004}), ("get_medications", {"patient_id": 1004}), ("get_lab_results", {"order_id": "ORD-H001"}), ("get_lab_results", {"order_id": "ORD-H002"}), ("get_lab_results", {"order_id": "ORD-H003"}), ("get_previous_results", {"patient_id": 1004}), ("query_reference_ranges", {"analyte": "Platelets", "context": {"sex": "F"}}), ("flag_critical_value", {"patient_id": 1004, "analyte": "Platelets", "value": 42, "alert_level": "CRITICAL_LOW"}), ("flag_critical_value", {"patient_id": 1004, "analyte": "Fibrinogen", "value": 95, "alert_level": "CRITICAL_LOW"}), ("flag_critical_value", {"patient_id": 1004, "analyte": "D_Dimer", "value": 8.4, "alert_level": "CRITICAL_HIGH"}), ("submit_diagnostic_report", {"patient_id": 1004, "icd_code": "D65", "severity": "CRITICAL", "clinical_notes": "Disseminated intravascular coagulation (DIC). Platelet 42 (was 185), " "fibrinogen 95 (<100), D-dimer 8.4, PT prolonged. Schistocytes 3+ on smear. " "Consumption coagulopathy in setting of sepsis."}), ] elif level == "hard" and variant == 1: # TLS actions = [ ("get_patient_demographics", {"patient_id": 1009}), ("get_medications", {"patient_id": 1009}), ("get_lab_results", {"order_id": "ORD-HB01"}), ("get_lab_results", {"order_id": "ORD-HB02"}), ("get_previous_results", {"patient_id": 1009}), ("submit_diagnostic_report", {"patient_id": 1009, "icd_code": "E88.3", "severity": "CRITICAL", "clinical_notes": "Tumor lysis syndrome (TLS) post-chemo for lymphoma. Classic Cairo-Bishop tetrad: " "hyperuricemia (15.2), hyperphosphatemia (8.2), hypocalcemia (6.5), hyperkalemia (6.8). " "LDH 1200 confirms cell lysis. AKI from urate precipitation (Cr 2.8, was 0.9)."}), ] last_obs = None for cmd, args in actions: last_obs = env.step(PathologyAction(command=cmd, arguments=args)) return last_obs.reward, last_obs.done def test_wrong_answers(): """Test that wrong answers get properly penalized.""" print("\n" + "="*60) print("WRONG ANSWER TESTS") print("="*60) # Easy-A: Submit wrong ICD os.environ["TASK_LEVEL"] = "easy" env = PathologyEnvironment() env.reset() env.task_variant = 0 env._init_db() env._seed_task_easy() env.submitted_reports = []; env.flagged_criticals = []; env.queried_demographics = set() env.queried_medications = set(); env.queried_lab_results = set(); env.queried_previous = set() env.queried_references = set() obs = env.step(PathologyAction(command="submit_diagnostic_report", arguments={"patient_id": 1001, "icd_code": "Z00.00", "severity": "INFO", "clinical_notes": "Normal"})) print(f" Easy-A wrong ICD (Z00.00): score={obs.reward:.2f} (should be floor 0.01)") assert obs.reward <= 0.01, f"Wrong! Score should be floor 0.01 but got {obs.reward}" # Medium-A: False positive anemia in pregnancy os.environ["TASK_LEVEL"] = "medium" env = PathologyEnvironment() env.reset() env.task_variant = 0 env._init_db() env._seed_task_medium() env.submitted_reports = []; env.flagged_criticals = []; env.queried_demographics = set() env.queried_medications = set(); env.queried_lab_results = set(); env.queried_previous = set() env.queried_references = set() env.flagged_criticals.append({"patient_id": 1002, "analyte": "Hemoglobin", "value": 11.5, "alert_level": "CRITICAL"}) obs = env.step(PathologyAction(command="submit_diagnostic_report", arguments={"patient_id": 1002, "icd_code": "D64.9", "severity": "CRITICAL", "clinical_notes": "Anemia"})) print(f" Medium-A false anemia+crit: score={obs.reward:.2f} (should be floor 0.01)") assert obs.reward <= 0.01, f"Wrong! Score should be floor 0.01 but got {obs.reward}" # Medium-B: Diagnose DIC instead of Warfarin os.environ["TASK_LEVEL"] = "medium" env = PathologyEnvironment() env.reset() env.task_variant = 1 env._init_db() env._seed_task_medium_b() env.submitted_reports = []; env.flagged_criticals = []; env.queried_demographics = set() env.queried_medications = set(); env.queried_lab_results = set(); env.queried_previous = set() env.queried_references = set() obs = env.step(PathologyAction(command="submit_diagnostic_report", arguments={"patient_id": 1007, "icd_code": "D65", "severity": "CRITICAL", "clinical_notes": "DIC"})) print(f" Medium-B false DIC: score={obs.reward:.2f} (should be floor 0.01)") assert obs.reward <= 0.01, f"Wrong! Score should be floor 0.01 but got {obs.reward}" print(" ✅ All wrong-answer penalties verified!") if __name__ == "__main__": print("="*60) print("DETERMINISTIC GRADER TEST — All 8 Scenarios (New Weights)") print("="*60) scenarios = [ ("easy", 0, "Easy-A Hyperkalemia"), ("easy", 1, "Easy-B Acute MI"), ("easy", 2, "Easy-C Severe Anemia"), ("medium", 0, "Medium-A Pregnancy Hb"), ("medium", 1, "Medium-B Warfarin INR"), ("medium", 2, "Medium-C Drug K+"), ("hard", 0, "Hard-A DIC"), ("hard", 1, "Hard-B TLS"), ] all_pass = True for level, variant, name in scenarios: score, done = simulate_perfect(level, variant) passed = score >= 0.90 icon = "✅" if passed else "❌" print(f" {icon} {name:25s} score={score:.2f} done={done}") if not passed: all_pass = False if all_pass: print(f"{'='*60}") print("🎉 ALL 8 SCENARIOS SCORE ≥ 0.90 — Graders verified!") print(f"{'='*60}") else: print(f"{'='*60}") print("❌ SOME SCENARIOS FAILED — check grader weights") print(f"{'='*60}") test_wrong_answers()