12339ccbff
* 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.
32 lines
1.4 KiB
Python
32 lines
1.4 KiB
Python
import pytest
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from app.agents.prompts import REPORT_GENERATION_INSTRUCTIONS
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from app.configs import AppConfig
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class TestReportGenerationAgent:
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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(REPORT_GENERATION_INSTRUCTIONS)
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def test_report_generation(self):
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sample_data = """
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The analysis reported from the Market Agent have highlighted the following key metrics for the cryptocurrency market:
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Bitcoin (BTC) has shown strong performance over the last 24 hours with a price of $30,000 and a Market Cap of $600 Billion
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Ethereum (ETH) is currently priced at $2,000 with a Market Cap of $250 Billion and a 24h Volume of $20 Billion.
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The overall market sentiment is bullish with a 5% increase in total market capitalization.
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No significant regulatory news has been reported and the social media sentiment remains unknown.
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"""
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response = self.agent.run(sample_data) # 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, str)
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print(content)
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assert "Bitcoin" in content
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assert "Ethereum" in content
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assert "Summary" in content
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