import pytest from src.models import Persona def test_persona_serialization(): persona = Persona( name="SecuritySpecialist", preferred_models=[ {"provider": "anthropic", "model": "claude-3-7-sonnet-20250219", "temperature": 0.2, "top_p": 0.9, "max_output_tokens": 4000}, "claude-3-5-sonnet-20241022" ], system_prompt="You are a security expert.", tool_preset="SecurityTools", bias_profile="Execution-Focused" ) assert persona.provider == "anthropic" assert persona.model == "claude-3-7-sonnet-20250219" assert persona.temperature == 0.2 assert persona.top_p == 0.9 assert persona.max_output_tokens == 4000 data = persona.to_dict() # data should NOT have top-level provider/model anymore, it's in preferred_models assert "provider" not in data assert "model" not in data assert data["preferred_models"][0]["provider"] == "anthropic" assert data["preferred_models"][0]["model"] == "claude-3-7-sonnet-20250219" assert data["preferred_models"][1] == {"model": "claude-3-5-sonnet-20241022"} assert data["system_prompt"] == "You are a security expert." assert data["preferred_models"][0]["temperature"] == 0.2 assert data["preferred_models"][0]["top_p"] == 0.9 assert data["preferred_models"][0]["max_output_tokens"] == 4000 assert data["tool_preset"] == "SecurityTools" assert data["bias_profile"] == "Execution-Focused" def test_persona_deserialization(): # Old config format (legacy) data = { "provider": "gemini", "model": "gemini-2.5-flash", "preferred_models": ["gemini-2.5-flash"], "system_prompt": "You are a helpful assistant.", "temperature": 0.5, "top_p": 1.0, "max_output_tokens": 8192, "tool_preset": "Default", "bias_profile": "Balanced" } persona = Persona.from_dict("Assistant", data) assert persona.name == "Assistant" assert persona.provider == "gemini" assert persona.model == "gemini-2.5-flash" # Migration logic should have put legacy fields into preferred_models since it only had a string assert persona.preferred_models[0]["provider"] == "gemini" assert persona.preferred_models[0]["model"] == "gemini-2.5-flash" assert persona.system_prompt == "You are a helpful assistant." assert persona.temperature == 0.5 assert persona.top_p == 1.0 assert persona.max_output_tokens == 8192 assert persona.tool_preset == "Default" assert persona.bias_profile == "Balanced" def test_persona_defaults(): persona = Persona(name="Minimal", system_prompt="Just the basics") assert persona.provider is None assert persona.model is None assert persona.preferred_models == [] assert persona.temperature is None assert persona.tool_preset is None data = persona.to_dict() assert "provider" not in data assert "preferred_models" not in data assert "temperature" not in data loaded = Persona.from_dict("Minimal", data) assert loaded.preferred_models == []