phase 2 checkpoint

tests/test_persona_models.py

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+import pytest
+from src.models import Persona
+
+def test_persona_serialization():
+ persona = Persona(
+  name="SecuritySpecialist",
+  provider="anthropic",
+  model="claude-3-7-sonnet-20250219",
+  preferred_models=["claude-3-7-sonnet-20250219", "claude-3-5-sonnet-20241022"],
+  system_prompt="You are a security expert.",
+  temperature=0.2,
+  top_p=0.9,
+  max_output_tokens=4000,
+  tool_preset="SecurityTools",
+  bias_profile="Execution-Focused"
+ )
+ 
+ data = persona.to_dict()
+ 
+ assert data["provider"] == "anthropic"
+ assert data["model"] == "claude-3-7-sonnet-20250219"
+ assert "claude-3-5-sonnet-20241022" in data["preferred_models"]
+ assert data["system_prompt"] == "You are a security expert."
+ assert data["temperature"] == 0.2
+ assert data["top_p"] == 0.9
+ assert data["max_output_tokens"] == 4000
+ assert data["tool_preset"] == "SecurityTools"
+ assert data["bias_profile"] == "Execution-Focused"
+
+def test_persona_deserialization():
+ 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"
+ assert persona.preferred_models == ["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 == []