feat: add conversational RollCalc assistant

tests/test_ollama_real_smoke.py

@@ -0,0 +1,27 @@
+import os
+import unittest
+
+from ollama_nlu import OllamaNLUClient
+
+
+@unittest.skipUnless(
+    os.getenv("ROLLCALC_RUN_OLLAMA_SMOKE") == "1",
+    "set ROLLCALC_RUN_OLLAMA_SMOKE=1 to use the local Ollama model",
+)
+class RealOllamaSmokeTests(unittest.TestCase):
+    def test_representative_german_request(self):
+        response = OllamaNLUClient().interpret(
+            "Welchen Durchmesser hat Bentofix NSP 4900, "
+            "Artikelnummer 180205 bei 65 m Länge?"
+        )
+
+        interpretation = response.interpretation
+        self.assertEqual(interpretation.intent, "new_calculation")
+        self.assertEqual(interpretation.article_number, "180205")
+        self.assertEqual(interpretation.article_name_hint, "Bentofix NSP 4900")
+        self.assertEqual(interpretation.roll_length_m, 65.0)
+        self.assertIsNone(interpretation.width_m)
+
+
+if __name__ == "__main__":
+    unittest.main()