Merge pull request #260 from DragonFSKY/fix/consensus-model-context-issue

fix: resolve consensus tool model_context parameter missing issue
This commit is contained in:
Beehive Innovations
2025-10-01 19:27:47 +04:00
committed by GitHub
2 changed files with 80 additions and 4 deletions

View File

@@ -331,6 +331,79 @@ class TestConsensusTool:
result = tool.customize_workflow_response(response_data, request)
assert result["consensus_workflow_status"] == "ready_for_synthesis"
async def test_consensus_with_relevant_files_model_context_fix(self):
"""Test that consensus tool properly handles relevant_files without RuntimeError.
This is a regression test for the bug where _prepare_file_content_for_prompt
was called without model_context parameter, causing RuntimeError:
'Model context not provided for file preparation'
Bug details:
- Occurred when consensus tool processed requests with relevant_files
- _consult_model method called _prepare_file_content_for_prompt without model_context
- Method expected model_context parameter but got None (default value)
- Runtime validation in base_tool.py threw RuntimeError
"""
from unittest.mock import AsyncMock, Mock, patch
from utils.model_context import ModelContext
tool = ConsensusTool()
# Create a mock request with relevant_files (the trigger condition)
mock_request = Mock()
mock_request.relevant_files = ["/test/file1.py", "/test/file2.js"]
mock_request.continuation_id = None
# Mock model configuration
model_config = {"model": "flash", "stance": "neutral"}
# Mock the provider and model name resolution
with (
patch.object(tool, "get_model_provider") as mock_get_provider,
patch.object(tool, "_prepare_file_content_for_prompt") as mock_prepare_files,
patch.object(tool, "_get_stance_enhanced_prompt") as mock_get_prompt,
patch.object(tool, "get_name", return_value="consensus"),
):
# Setup mocks
mock_provider = Mock()
mock_provider.generate_content = AsyncMock(return_value={"response": "test response"})
mock_get_provider.return_value = mock_provider
mock_prepare_files.return_value = ("file content", [])
mock_get_prompt.return_value = "system prompt"
# Set up the tool's attributes that would be set during normal execution
tool.original_proposal = "Test proposal"
try:
# This should not raise RuntimeError after the fix
# The method should create ModelContext and pass it to _prepare_file_content_for_prompt
await tool._consult_model(model_config, mock_request)
# Verify that _prepare_file_content_for_prompt was called with model_context
mock_prepare_files.assert_called_once()
call_args = mock_prepare_files.call_args
# Check that model_context was passed as keyword argument
assert "model_context" in call_args.kwargs, "model_context should be passed as keyword argument"
# Verify the model_context is a proper ModelContext instance
model_context = call_args.kwargs["model_context"]
assert isinstance(model_context, ModelContext), "model_context should be ModelContext instance"
# Verify model_context properties are correct
assert model_context.model_name == "flash"
# Note: provider is accessed lazily, conversation_history and tool_name
# are not part of ModelContext constructor in current implementation
except RuntimeError as e:
if "Model context not provided" in str(e):
pytest.fail("The model_context fix is not working. RuntimeError still occurs: " + str(e))
else:
# Re-raise if it's a different RuntimeError
raise
if __name__ == "__main__":
import unittest