* Rimuovi la classe Predictor e aggiorna le importazioni in Pipeline e __init__.py * Aggiungi modelli per l'analisi delle query e la generazione di report; aggiorna le configurazioni degli agenti * Tests for report generation and team agent responses * Aggiorna i prompt degli agenti * Changed defaults models * Aggiunta della classe PlanMemoryTool per la gestione dei task e aggiornamento della logica del team leader per un'esecuzione più dinamica del piano.
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
import pytest
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from app.agents.core import QueryOutputs
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from app.agents.prompts import QUERY_CHECK_INSTRUCTIONS
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from app.configs import AppConfig
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class TestQueryCheckAgent:
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@pytest.fixture(autouse=True)
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def setup(self):
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self.configs = AppConfig.load()
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self.model = self.configs.get_model_by_name("qwen3:1.7b")
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self.agent = self.model.get_agent(QUERY_CHECK_INSTRUCTIONS, output_schema=QueryOutputs)
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def test_query_not_ok(self):
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response = self.agent.run("Is the sky blue?") # type: ignore
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assert response is not None
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assert response.content is not None
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content = response.content
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assert isinstance(content, QueryOutputs)
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assert content.is_crypto == False
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def test_query_not_ok2(self):
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response = self.agent.run("What is the capital of France?") # type: ignore
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assert response is not None
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assert response.content is not None
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content = response.content
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assert isinstance(content, QueryOutputs)
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assert content.is_crypto == False
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def test_query_ok(self):
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response = self.agent.run("Bitcoin") # type: ignore
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assert response is not None
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assert response.content is not None
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content = response.content
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assert isinstance(content, QueryOutputs)
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assert content.is_crypto == True
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def test_query_ok2(self):
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response = self.agent.run("Ha senso investire in Ethereum?") # type: ignore
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assert response is not None
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assert response.content is not None
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content = response.content
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assert isinstance(content, QueryOutputs)
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assert content.is_crypto == True
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