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1.23 kB
| """Unit tests for the keyword pre-filter (news/relevance.py) that gates Groq calls.""" | |
| from news.relevance import score | |
| def test_rejects_text_with_no_business_signal(): | |
| result = score("Bunk mates fall out over missing snacks at boarding school dormitory") | |
| assert result["is_candidate"] is False | |
| assert result["matched_keywords"] == [] | |
| def test_rejects_isolated_incident_with_no_business_angle(): | |
| result = score("Aircraft loses contact mid-flight before making emergency landing") | |
| assert result["is_candidate"] is False | |
| def test_accepts_policy_item(): | |
| result = score("CBN raises interest rate, forex dealers react") | |
| assert result["is_candidate"] is True | |
| assert "cbn" in result["matched_keywords"] | |
| def test_accepts_funding_item(): | |
| result = score("BOI opens new loan scheme for small manufacturers") | |
| assert result["is_candidate"] is True | |
| def test_accepts_weather_item(): | |
| result = score("NiMet issues flood warning for Lagos ahead of heavy rainfall") | |
| assert result["is_candidate"] is True | |
| def test_accepts_security_item_with_business_operational_angle(): | |
| result = score("Bandits attack causes market shutdown order in Zamfara") | |
| assert result["is_candidate"] is True | |