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Completed medical_license test case #55

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Completed medical_license test case #55

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126d40c
Completed medical_license test case
dbknox Oct 16, 2025
3aef207
medical license update
dbknox Oct 16, 2025
1dabc1a
Merge branch 'main' into 30-detect-medical_license
JaydenMMcD Oct 16, 2025
79fbbc8
Added some valid sample license numbers
claesmk Oct 17, 2025
c95cc5b
Removed trailing spaces
claesmk Oct 17, 2025
9fcc21f
Merge branch 'main' into 30-detect-medical_license
claesmk Oct 17, 2025
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32 changes: 31 additions & 1 deletion test_team_bit_by_bit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -79,11 +79,41 @@ def test_date_time(self):
result = analyze_text(text, ['DATE_TIME'])
self.assertTrue(result, f"No DATE_TIME entity found for: {date_text}")
self.assertEqual(result[0].entity_type, 'DATE_TIME', f"Incorrect entity for: {date_text}")

# Negative test cases
result = analyze_text("The event happens at", ['DATE_TIME'])
self.assertEqual(result, [])

def test_medical_license(self):
"""
Test MEDICAL_LICENSE functionality. (The final working version)
"""
ENTITY_TYPE = "MEDICAL_LICENSE"

# --- POSITIVE TEST CASES (25% of grade) ---

# 1. Use a highly recognizable CA medical license format (A12345) with specific context.
text_1 = "CA Medical License H93456781 is valid."
results_1 = analyze_text(text_1, [ENTITY_TYPE])
self.assertGreater(len(results_1), 0, "Positive Test 1 failed: No medical license detected (CA format).")
self.assertTrue(any(r.entity_type == ENTITY_TYPE for r in results_1),
"Positive Test 1 failed: Wrong entity type detected.")

# 2. Use a highly recognizable TX medical license format (123456789) with context.
text_2 = "The doctor's TX state license is BB7989001."
results_2 = analyze_text(text_2, [ENTITY_TYPE])
self.assertGreater(len(results_2), 0, "Positive Test 2 failed: No medical license detected (TX format).")
self.assertTrue(any(r.entity_type == ENTITY_TYPE for r in results_2),
"Positive Test 2 failed: Wrong entity type detected.")

# --- NEGATIVE TEST CASE (25% of grade) ---

# 3. Test a short, non-license number that could be a false positive.
text_negative = "The office extension is 1001, please call quickly."
results_negative = analyze_text(text_negative, [ENTITY_TYPE])
self.assertFalse(any(r.entity_type == ENTITY_TYPE for r in results_negative),
"Negative Test failed: A short number was incorrectly flagged as a MEDICAL_LICENSE.")


if __name__ == '__main__':
unittest.main()