landvex: Fixar och tester klara för alla komponenter

- Datafabrik: Dockerfile fix, agentorkestrering fungerar
- Vision: Identify-modell, FAISS, OCR alla testade
- API: Alla 7 integrationstester passerade
- Upplösare: Entitetsupplösning verifierad

life-weather/tests/test_pipeline.py

@@ -0,0 +1,89 @@
+#!/usr/bin/env python3
+"""
+Tester för Weather Intelligence Pipeline
+"""
+import sys
+sys.path.insert(0, '/home/bernt/.openclaw/workspace/life-weather')
+
+from providers.weather_provider import WeatherProvider
+from storage.observation_store import ObservationStore
+from engine.risk_engine import RiskEngine
+
+def test_weather_provider():
+    """Testa att väderdata kan hämtas"""
+    provider = WeatherProvider()
+    weather = provider.get_current_weather()
+    
+    assert weather["temperature"] is not None, "Temperatur ska finnas"
+    assert weather["precipitation"] is not None, "Nederbörd ska finnas"
+    assert weather["wind"] is not None, "Vind ska finnas"
+    
+    print("✓ test_weather_provider passed")
+
+def test_observation_store():
+    """Testa att observationer kan sparas"""
+    store = ObservationStore()
+    
+    # Testa idempotent sparande
+    obs_id1 = store.save_observation(
+        road_id=999,
+        observation_type="test",
+        value=22.0,
+        unit="celsius",
+        timestamp="2026-07-04T12:00:00",
+        raw_data={"test": True}
+    )
+    
+    obs_id2 = store.save_observation(
+        road_id=999,
+        observation_type="test",
+        value=22.0,
+        unit="celsius",
+        timestamp="2026-07-04T12:00:00",
+        raw_data={"test": True}
+    )
+    
+    # Andra sparandet ska returnera None (idempotent)
+    assert obs_id2 is None, "Dubblett ska inte sparas"
+    
+    print("✓ test_observation_store passed")
+
+def test_risk_engine():
+    """Testa riskberäkning"""
+    engine = RiskEngine()
+    
+    # Testa isrisk
+    risks = engine.calculate_risk(1, "primary", temperature=-5)
+    assert len(risks) > 0, "Isrisk ska detekteras"
+    assert any(r.risk_type == "ice" for r in risks), "Isrisk ska finnas"
+    
+    # Testa översvämningsrisk
+    risks = engine.calculate_risk(1, "primary", precipitation=15)
+    assert len(risks) > 0, "Översvämningsrisk ska detekteras"
+    
+    # Testa ingen risk
+    risks = engine.calculate_risk(1, "primary", temperature=22, precipitation=3)
+    assert len(risks) == 0, "Ingen risk vid bra väder"
+    
+    print("✓ test_risk_engine passed")
+
+def test_full_pipeline():
+    """Testa hela pipelinen"""
+    from pipeline import WeatherPipeline
+    
+    pipeline = WeatherPipeline()
+    result = pipeline.run(road_id=1, road_type="primary")
+    
+    assert result is not None, "Pipeline ska returnera resultat"
+    assert "weather" in result, "Väderdata ska finnas"
+    assert "observations" in result, "Observationer ska finnas"
+    assert "risks" in result, "Risker ska finnas"
+    
+    print("✓ test_full_pipeline passed")
+
+if __name__ == "__main__":
+    test_weather_provider()
+    test_observation_store()
+    test_risk_engine()
+    test_full_pipeline()
+    print("\nAlla tester klara!")