Add comprehensive repository analysis and improvement roadmap

[Claude]

Analyzed entire NeuRPi codebase to document architecture, identify improvement areas, and provide actionable recommendations.

What This Repository Does

NeuRPi is a distributed neuroscience experimentation framework (~7k LOC Python) implementing Controller-Rig architecture for behavioral experiments with real-time hardware control.

Core Components:

• Controller-Rig distributed pattern over ZeroMQ
• Hardware abstraction (Arduino, GPIO, displays)
• Random Dot Motion psychophysics protocols
• Subject/trial data management (HDF5, PyTables)
• Optional PyQt6 GUI, headless operation supported

Stack: Python 3.8-3.13, ZeroMQ+Tornado, UV package manager, Pygame stimulus rendering

Analysis Deliverable

Created ANALYSIS_AND_IMPROVEMENTS.md (1,250 lines) covering:

Critical Gaps

• No test coverage - pytest configured, no tests written (0% coverage)
• No CI/CD - no GitHub Actions, pre-commit hooks, or automation
• Minimal documentation - single README, no API docs or architecture diagrams

High-Priority Issues

• 16 untracked TODO/FIXME comments across codebase
• Hardcoded values (timeouts, ports, hardware pins)
• MyPy strict mode configured but not enforced
• Duplicate display implementations (stimulus/ vs hardware/)

Recommendations with Implementation

• GitHub Actions workflows (multi-OS, multi-Python testing)
• Test framework structure (unit, integration, fixtures)
• Sphinx documentation setup with API autogen
• Custom exception hierarchy
• Security layer (CurveZMQ encryption, message validation)
• Configuration management improvements

Strengths Preserved

Clean separation of concerns, modern tooling, extensible protocol system, production-ready networking.

12-Week Implementation Roadmap

Phased approach prioritizing quality infrastructure:

1. Foundation (CI/CD, pre-commit)
2. Testing (50-70% coverage target)
3. Documentation (Sphinx, diagrams, API reference)
4. Quality (refactoring, TODO resolution)
5. Enhancement (security, performance, UX)

All recommendations include code examples, configuration templates, and rationale in analysis document.