This guide explains how to set up a development environment, install dependencies, and get started with contributing to the NDIF
project.
- Python 3.10
- Docker
- Docker Compose
If you don’t have Conda installed, download and install Anaconda or Miniconda from the official Conda website.
Fork the NDIF
repository (or clone it directly) to your local machine. Then create a new Conda virtual environment:
conda create -n ndif-dev python=3.10
conda activate ndif-dev
Choose one of the following methods:
a. Via pip (simple)
pip install nnsight
b. From repository (recommended for specific branches)
git clone https://github.com/nnsight/nnsight.git
cd nnsight
git checkout <branch-name> # e.g., 0.3
pip install -e .
For first-time setup, use:
make build
If you’ve made changes to the codebase but did not modify the environment.yml
files, you can quickly rebuild the services using:
make ta
This method is faster than running make build
again.
After building the NDIF
containers, you can check the docker logs to verify the services are running correctly.
docker logs dev-api-1
You should expect to see a message like Application startup complete.
in the api service log.
python scripts/test.py
This will send a test NNsight request to the API service running in the local container.
- To start the deployment environment without rebuilding:
make up
- To stop the development environment:
make down
- To rebuild services and restart the environment (useful during development):
make ta
Note: Modifying any of the environment.yml
files will require you to rebuild from scratch.
The project uses separate .env
files for development and production environments:
- Development:
compose/dev/.env
- Production:
compose/prod/.env
For most users, only the development environment is necessary. The production environment is configured separately and is not required for local development.
The Makefile includes configurations for both development and production environments. As an end user or developer, you'll primarily interact with the development environment. The production environment settings are managed separately and are not typically needed for local development work.