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manual_slop/tests/test_bias_models.py

47 lines
1.7 KiB
Python

import pytest
from src.models import Tool, ToolPreset, BiasProfile
def test_tool_model():
tool = Tool(name="read_file", weight=5, parameter_bias={"path": "preferred"})
data = tool.to_dict()
assert data["name"] == "read_file"
assert data["weight"] == 5
assert data["parameter_bias"]["path"] == "preferred"
tool2 = Tool.from_dict(data)
assert tool2.name == "read_file"
assert tool2.weight == 5
assert tool2.parameter_bias["path"] == "preferred"
def test_tool_preset_extension():
# Verify that ToolPreset correctly parses and serializes Tool objects
tool_data = {"name": "read_file", "weight": 4, "parameter_bias": {"path": "high"}}
raw_data = {"categories": {"General": [tool_data]}}
# Test parsing via from_dict
preset = ToolPreset.from_dict("test", raw_data)
assert isinstance(preset.categories["General"][0], Tool)
assert preset.categories["General"][0].weight == 4
# Test serialization
data = preset.to_dict()
assert data["categories"]["General"][0]["weight"] == 4
assert data["categories"]["General"][0]["name"] == "read_file"
def test_bias_profile_model():
profile = BiasProfile(
name="Execution-Focused",
tool_weights={"run_powershell": 5},
category_multipliers={"Surgical": 1.5}
)
data = profile.to_dict()
assert data["tool_weights"]["run_powershell"] == 5
assert data["category_multipliers"]["Surgical"] == 1.5
# BiasProfile.from_dict expects 'name' inside the dict as well if coming from load_all_bias_profiles
data["name"] = "Execution-Focused"
profile2 = BiasProfile.from_dict(data)
assert profile2.name == "Execution-Focused"
assert profile2.tool_weights["run_powershell"] == 5
assert profile2.category_multipliers["Surgical"] == 1.5