- Fix TOCTOU race condition by removing os.path.exists() check before file open
- Move imports (base64, binascii, os, utils.file_types) to top of file
- Replace broad Exception catch with specific binascii.Error for base64 decoding
- Maintain proper error handling and test compatibility
Consolidates duplicated image validation logic from individual providers
into a reusable base class method. This improves maintainability and
ensures consistent validation across all providers.
- Added validate_image() method to ModelProvider base class
- Supports both file paths and data URLs
- Validates image format, size, and MIME types
- Added DEFAULT_MAX_IMAGE_SIZE_MB class constant (20MB)
- Refactored Gemini and OpenAI providers to use base validation
- Added comprehensive test suite with 19 tests
- Used minimal mocking approach with concrete test provider class
- Introduced tests for Docker deployment scripts to ensure existence, permissions, and proper command usage.
- Added tests for Docker integration with Claude Desktop, validating MCP configuration and command formats.
- Implemented health check tests for Docker, ensuring script functionality and proper configuration in Docker setup.
- Created tests for Docker MCP validation, focusing on command validation and security configurations.
- Developed security tests for Docker configurations, checking for non-root user setups, privilege restrictions, and sensitive data handling.
- Added volume persistence tests to ensure configuration and logs are correctly managed across container runs.
- Updated .dockerignore to exclude sensitive files and added relevant tests for Docker secrets handling.
Added new confidence values (very_high, almost_certain) to all workflow tools
to provide more granular confidence tracking. Updated enum declarations in:
- analyze.py, codereview.py, debug.py, precommit.py, secaudit.py, testgen.py
- Updated debug.py's get_required_actions to handle new confidence values
- All tools now use consistent 7-value confidence scale
- refactor.py kept its unique scale (exploring/incomplete/partial/complete)
Also fixed model thinking configuration:
- Added very_high and almost_certain to MODEL_THINKING_PREFERENCES
- Set medium thinking for very_high, high thinking for almost_certain
- Updated prompts to clarify certain means 100% local confidence
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Implemented `run-server.ps1` for setting up the Zen MCP server environment, including virtual environment creation, dependency installation, and Docker cleanup.
- Added logging and error handling throughout the setup process.
- Included functions for validating API keys and configuring integration with Claude Desktop and Gemini CLI.
- Created `run_integration_tests.ps1` to execute integration tests with real API calls, including checks for API key availability and environment setup.
- Enhanced output with color-coded messages for better user experience.
Patch directory added for cross-platform patching support (`patch_crossplatform.py`).
