gnn-environment-setup
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.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
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
- AGENTS.md — Module documentation
- README.md — Usage guide
- SPEC.md — Module specification
- ../../SETUP_GUIDE.md — Full setup guide
- ../../pyproject.toml — Dependency definitions
Documentation
Exemples
Consultez les exemples du dépôt source.
Voir la source ↗Historique source
- Date d’indexation
- 2026-03-11
- Mise à jour de l’index
- 2026-03-11
- Branch
- main
Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.
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