Fixed Docker

- Update Dockerfile, docker-compose
- fixed app instructions not working
- fixed json ouput sanification
- added tests for predictor

tests/agents/test_predictor.py

@@ -0,0 +1,43 @@
+import json
+import pytest
+from app.agents import predictor
+from app.models import Models
+
+def unified_checks(model: Models, input):
+    llm = model.get_agent(predictor.instructions())
+    result = llm.run(input)
+
+    print(result.content)
+    potential_json = Models.extract_json_str_from_response(result.content)
+    content = json.loads(potential_json)  # Verifica che l'output sia un JSON valido
+
+    assert content['strategia'] is not None
+    assert isinstance(content['portafoglio'], list)
+    assert abs(sum(item['percentuale'] for item in content['portafoglio']) - 100) < 0.01  # La somma deve essere esattamente 100
+
+class TestPredictor:
+
+    @pytest.fixture(scope="class")
+    def inputs(self):
+        data = []
+        for symbol, price in [("BTC", 60000.00), ("ETH", 3500.00), ("SOL", 150.00)]:
+            product_info = predictor.ProductInfo()
+            product_info.symbol = symbol
+            product_info.price = price
+            data.append(product_info)
+
+        return predictor.prepare_inputs(
+            data=data,
+            style=predictor.PredictorStyle.AGGRESSIVE,
+            sentiment="positivo"
+        )
+
+    def test_gemini_model_output(self, inputs):
+        unified_checks(Models.GEMINI, inputs)
+
+    @pytest.mark.slow
+    def test_ollama_gpt_oss_model_output(self, inputs):
+        unified_checks(Models.OLLAMA_GPT, inputs)
+
+    def test_ollama_qwen_model_output(self, inputs):
+        unified_checks(Models.OLLAMA_QWEN, inputs)