Migration from Docker to Standalone Python Server (#73)

* Migration from docker to standalone server
Migration handling
Fixed tests
Use simpler in-memory storage
Support for concurrent logging to disk
Simplified direct connections to localhost

* Migration from docker / redis to standalone script
Updated tests
Updated run script
Fixed requirements
Use dotenv
Ask if user would like to install MCP in Claude Desktop once
Updated docs

* More cleanup and references to docker removed

* Cleanup

* Comments

* Fixed tests

* Fix GitHub Actions workflow for standalone Python architecture

- Install requirements-dev.txt for pytest and testing dependencies
- Remove Docker setup from simulation tests (now standalone)
- Simplify linting job to use requirements-dev.txt
- Update simulation tests to run directly without Docker

Fixes unit test failures in CI due to missing pytest dependency.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Remove simulation tests from GitHub Actions

- Removed simulation-tests job that makes real API calls
- Keep only unit tests (mocked, no API costs) and linting
- Simulation tests should be run manually with real API keys
- Reduces CI costs and complexity

GitHub Actions now only runs:
- Unit tests (569 tests, all mocked)
- Code quality checks (ruff, black)

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Fixed tests

* Fixed tests

---------

Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
Beehive Innovations
2025-06-18 23:41:22 +04:00
committed by GitHub
parent 9d72545ecd
commit 4151c3c3a5
121 changed files with 2842 additions and 3168 deletions

View File

@@ -246,9 +246,9 @@ class TestLargePromptHandling:
assert len(result) == 1
output = json.loads(result[0].text)
# The precommit tool may return success or clarification_required depending on git state
# The precommit tool may return success or files_required_to_continue depending on git state
# The core fix ensures large prompts are detected at the right time
assert output["status"] in ["success", "clarification_required", "resend_prompt"]
assert output["status"] in ["success", "files_required_to_continue", "resend_prompt"]
@pytest.mark.asyncio
async def test_debug_large_error_description(self, large_prompt):
@@ -298,17 +298,26 @@ class TestLargePromptHandling:
)
mock_get_provider.return_value = mock_provider
# Mock the centralized file preparation method to avoid file system access
with patch.object(tool, "_prepare_file_content_for_prompt") as mock_prepare_files:
mock_prepare_files.return_value = ("File content", [other_file])
# Mock handle_prompt_file to verify prompt.txt is handled
with patch.object(tool, "handle_prompt_file") as mock_handle_prompt:
# Return the prompt content and updated files list (without prompt.txt)
mock_handle_prompt.return_value = ("Large prompt content from file", [other_file])
await tool.execute({"prompt": "", "files": [temp_prompt_file, other_file]})
# Mock the centralized file preparation method
with patch.object(tool, "_prepare_file_content_for_prompt") as mock_prepare_files:
mock_prepare_files.return_value = ("File content", [other_file])
# Verify prompt.txt was removed from files list
mock_prepare_files.assert_called_once()
files_arg = mock_prepare_files.call_args[0][0]
assert len(files_arg) == 1
assert files_arg[0] == other_file
# Use a small prompt to avoid triggering size limit
await tool.execute({"prompt": "Test prompt", "files": [temp_prompt_file, other_file]})
# Verify handle_prompt_file was called with the original files list
mock_handle_prompt.assert_called_once_with([temp_prompt_file, other_file])
# Verify _prepare_file_content_for_prompt was called with the updated files list (without prompt.txt)
mock_prepare_files.assert_called_once()
files_arg = mock_prepare_files.call_args[0][0]
assert len(files_arg) == 1
assert files_arg[0] == other_file
temp_dir = os.path.dirname(temp_prompt_file)
shutil.rmtree(temp_dir)