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gnn-environment-setup

maintained by ActiveInferenceInstitute

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name: gnn-environment-setup description: GNN environment setup and dependency management. Use when configuring the development environment, installing dependencies, managing virtual environments, or troubleshooting dependency issues for the GNN pipeline.

GNN Environment Setup (Step 1)

Purpose

Manages environment configuration, virtual environment creation, and dependency installation for the GNN pipeline. Supports both core and optional dependency groups via uv or pip.

Key Commands

# Run setup step
python src/1_setup.py --target-dir input/gnn_files --output-dir output --verbose

# As part of pipeline
python src/main.py --only-steps 1 --verbose

# Using uv (recommended)
uv sync                    # Core dependencies
uv sync --extra dev        # Development tools
uv sync --all-extras       # Everything

Optional Dependency Groups

These groups match [project.optional-dependencies] in pyproject.toml:

Group Key Packages Purpose
active-inference pymdp, jax, jaxlib, flax, optax Active Inference simulation
visualization plotly, altair, seaborn, bokeh, holoviews Visualization
llm openai, anthropic, cohere, ollama LLM integration
audio librosa, soundfile, pedalboard, pydub Audio generation
gui gradio, streamlit GUI interface
ml-ai torch, transformers, datasets Machine learning
graphs igraph, graphviz, discopy Graph libraries
dev pytest-*, mypy, ruff Development tools
database sqlalchemy, alembic Database integration
research jupyterlab, sympy, numba, cython Research tools
scaling dask, distributed, joblib Parallel processing
all Everything above Full installation

Environment Requirements

  • Python: 3.11+ (recommended 3.12.x or 3.13.x)
  • Package manager: uv (recommended) or pip
  • Core deps: numpy, networkx, pyyaml, jsonschema

Troubleshooting

Issue Solution
uv: command not found curl -LsSf https://astral.sh/uv/install.sh | sh
PyMDP import fails uv sync --extra active-inference
matplotlib missing uv sync --extra visualization
CUDA not detected Check torch.cuda.is_available() after uv sync --extra ml-ai

MCP Tools

This module registers tools with the GNN MCP server (see mcp.py):

  • ensure_directory_exists
  • find_project_gnn_files
  • get_standard_output_paths

References


Documentation

  • README: Module Overview
  • AGENTS: Agentic Workflows
  • SPEC: Architectural Specification
  • SKILL: Capability API

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Skill Details

GitHub Stars 23
GitHub Forks 2
Created Mar 2026
Last Updated il y a 3 mois
tools tools system admin

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