import pytest
from src import ai_client
from src.models import ToolPreset, Tool, BiasProfile
from unittest.mock import MagicMock, patch

def test_bias_efficacy_prompt_generation():
 # Verify that the generated prompt contains the expected nudges and strategy
 preset = ToolPreset(name="BiasTest", categories={
  "General": [
   Tool(name="list_directory", weight=5),
   Tool(name="search_files", weight=1)
  ]
 })
 bias = BiasProfile(name="Balanced", category_multipliers={"General": 1.0})
 
 with patch("src.ai_client._active_tool_preset", preset):
  with patch("src.ai_client._active_bias_profile", bias):
   prompt = ai_client._get_combined_system_prompt()
   
   # Check strategy section
   assert "Tooling Strategy" in prompt
   assert "list_directory" in prompt
   assert "PREFERRED" in prompt or "HIGH PRIORITY" in prompt
   
   # Check tool definitions nudging
   with patch("src.ai_client._agent_tools", {"list_directory": True, "search_files": True}):
    # Anthropic tools as an example
    with patch("src.ai_client._CACHED_ANTHROPIC_TOOLS", None):
     tools = ai_client._get_anthropic_tools()
     
     ls_tool = next(t for t in tools if t["name"] == "list_directory")
     search_tool = next(t for t in tools if t["name"] == "search_files")
     
     assert "[HIGH PRIORITY]" in ls_tool["description"]
     assert "[LOW PRIORITY]" in ls_tool["description"] or "[LOW PRIORITY]" in search_tool["description"]

def test_bias_parameter_nudging():
 preset = ToolPreset(name="ParamTest", categories={
  "General": [
   Tool(name="read_file", parameter_bias={"path": "CRITICAL"})
  ]
 })
 
 with patch("src.ai_client._active_tool_preset", preset):
  with patch("src.ai_client._agent_tools", {"read_file": True}):
   with patch("src.ai_client._CACHED_ANTHROPIC_TOOLS", None):
    tools = ai_client._get_anthropic_tools()
    read_tool = next(t for t in tools if t["name"] == "read_file")
    
    path_param_desc = read_tool["input_schema"]["properties"]["path"]["description"]
    assert "[CRITICAL]" in path_param_desc
