Maya Docker Environment

Production-ready Docker image with Nanobot Framework for R&D

Task 1: Base Image Setup

Python 3.11+ with multi-stage build, non-root user, timezone & locale configuration.

COMPLETED

Task 2: Nanobot Framework

Install and configure nanobot framework with CLI verification.

COMPLETED

Task 3: Dev Environment Tools

Editors, git, debugging utilities, build tools installation.

COMPLETED

Task 4: R&D Dependencies

Scientific Python packages, ML libraries, data processing tools.

COMPLETED

Task 5: Environment Optimization

Entrypoint scripts, .dockerignore, health checks configuration.

COMPLETED

Task 6: Documentation & Testing

README, test suite, example configurations.

COMPLETED

Project Files

📄 Dockerfile - Multi-stage build with Python 3.11-slim-bookworm
📄 docker-compose.yml - Base and CUDA service configurations
📄 requirements-nanobot.txt - Nanobot dependencies
📄 requirements-rd.txt - R&D dependencies (numpy, pandas, ML, etc.)
📄 setup-env.sh - Environment setup script
📄 verify_rd_deps.py - R&D packages verification script
📄 nanobot-config.yml - Configuration template
📄 verify_nanobot.sh - Installation verification script
📄 verify_devtools.py - Development tools verification script
📄 validate_base.py - Base image validation test suite
📄 entrypoint.sh - Production-ready entrypoint script
📄 healthcheck.py - Container health check endpoint
📄 bashrc - Shell initialization with aliases
📄 .dockerignore - Optimized image build exclusions
📁 .devcontainer/ - VS Code dev container config
📄 README.md - Complete documentation with usage instructions
📄 test_suite.py - Comprehensive test suite for image validation
📄 docker-compose.dev.yml - Development environment config
📄 docker-compose.gpu.yml - GPU-enabled container config
📄 docker-compose.jupyter.yml - Jupyter Lab container config
📄 memory.md - Persistent memory for project state
📄 AGENTS.md - AI agent working guidelines

Build & Run Commands

# Build the image docker build -t maya-nanobot:base .

# Run with docker-compose (base) docker-compose up -d maya-base

# Run development environment docker-compose -f docker-compose.dev.yml up -d

# Run GPU variant (requires NVIDIA runtime) docker-compose -f docker-compose.gpu.yml up -d

# Run Jupyter Lab docker-compose -f docker-compose.jupyter.yml up -d

# Run test suite python3 test_suite.py --json

# Access container docker exec -it maya-dev-base /bin/bash

Task Progress