pydantic-graph-neo4j-persistence 0.1.2

Neo4j persistence adapter for Pydantic Graph

pydantic_graph.neo4j_persistence

Overview

pydantic_graph.neo4j_persistence is a persistence adapter for Neo4j that seamlessly integrates with Pydantic models. It enables saving node snapshots directly into a Neo4j database, facilitating efficient graph data management within Python applications.

Features

• Seamless Integration: Effortlessly combine Pydantic's data validation with Neo4j's graph database capabilities.
• Automatic Snapshotting: Automatically persist node states to Neo4j, ensuring data consistency.
• Flexible Configuration: Tailor the persistence layer to fit various application architectures.

Installation

To install pydantic_graph_neo4j_persistence, use pip:

pip install pydantic_graph_neo4j_persistence

Quick Start

Here is a basic example demonstrating how to use pydantic_graph.neo4j_persistence:

async def run_as_cli(answer: str | None):
    persistence = Neo4jStatePersistence(
        uri="your_uri",
        username="your_username",
        password="your_password",
        execution_id="execution_id",
        verbose=False
    )

    persistence.set_graph_types(my_pydantic_graph)

    ...
    


if __name__ == '__main__':
    import asyncio
    import sys
    
    a = sys.argv[2] if len(sys.argv) > 2 else None
    asyncio.run(run_as_cli(a))

You can see a full example on the oficial pydantic documentation. From there just change the persistence variable to use the Neo4jStatePersistence

Contributing

We welcome contributions to enhance the functionality and usability of pydantic_graph.neo4j_persistence. To contribute:

Fork the repository.

Create a new branch for your feature or bug fix.

Ensure existing tests pass and add new tests for your changes.

Submit a pull request detailing your changes and the problem they address.

License

pydantic_graph.neo4j_persistence is licensed under the MIT License. See the LICENSE file for details.