create-neo4j-python-app 0.1.0

A Python API for Neo4j scaffolding tool

create-neo4j-python-app

This Python script streamlines setting up a new API project using a Neo4j Aura Free instance or importing existing data models from a Neo4j Workspace JSON file. The script provides two main functionalities: creating a new Neo4j Aura instance with necessary scaffolding and generating Python API code from imported models.

Features

• Neo4j Aura Instance Creation: Automatically set up a new Neo4j Aura Free instance with the provided credentials.
• Project Scaffolding: Generate a basic project directory structure for your app.
• Model Import and Generation: Import data models from a Neo4j Importer diagram to generate Python models (using neomodel) and CRUD endpoints (using FastAPI).

Usage

Installation

First, install the script using PyPI :

pip install create-neo4j-python-app

Command Line Arguments:

• -i, --api-client-id: Aura API client ID for authentication.
• -s, --api-client-secret: Aura API client secret for authentication.
• -n, --instance-name: Optional name for the Neo4j Aura instance (uses the default Aura name if not specified, e.g. Instance01).
• -m, --import-model: Path to the model.json file exported from Neo4j Workspace.

Commands

1. Create and Scaffold a New Neo4j Aura Instance:

   create-neo4j-python-app -i YOUR_API_CLIENT_ID -s YOUR_API_CLIENT_SECRET -n my-instance
   

   This command will create a new Neo4j Aura instance named my-instance using the provided client ID and secret. It also sets up the necessary project directories.

   Note you need to create a Neo4j Aura account, and then create an API Key to your account. This is what you can use for the above arguments.

2. Generate Models from an existing Neo4j Import diagram:

   create-neo4j-python-app -m path/to/model.json
   

   Use this command to generate Python models and CRUD operations from an existing JSON file exported from the Neo4j Workspace Import tool.

Important Notes

• Before running --import-model, go to your Neo4j Aura instance console and use the Import tool to define your schema:
  • Go to the Aura Workspace
  • Once your model is drawn in Graph Models, download the model as JSON.

Run your new application

Once you have completed all the scaffolding steps, you can install requirements and run your API like this :

# Ideally, create a virtual environment with :
python3 -m venv venv
source venv/bin/activate

# Install requirements :
pip install -r requirements.txt
uvicorn --host=0.0.0.0 --port=8000 app.main:app --reload

Finally, navigate to http://localhost:8000/docs and you should see the Swagger documentation for your brand new API !

Cleanup

You can delete the Aura instance by running the script like this :

create-neo4j-python-app -i YOUR_API_CLIENT_ID -s YOUR_API_CLIENT_SECRET -n my-instance -D

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Feel free to submit issues or pull requests for improvements and bug fixes. We welcome contributions from the community!

Extending

To develop and test locally, just run :

pip install -e '.[dev]'
pytest

This repo has pre-commits for sorting imports and prettifying code :

pre-commit install

Enjoy building with Neo4j Aura! 🚀