Platform Lookup Service

A FastAPI-based microservice for managing platform registrations and lookups. This service provides a RESTful API for registering and managing platforms with their associated credentials and network addresses.

Features

• Platform registration and management
• Thread-safe operations for concurrent access
• Input validation using Pydantic models
• Support for platform grouping
• JSON-based persistent storage
• RESTful API with OpenAPI documentation

Requirements

• Python 3.x
• FastAPI
• Uvicorn

Installation

1. From pypi

   pip install volttron-platform-lookup
   

2. From source code:

   git clone [repository-url]
   cd platform-lookup
   poetry install
   

Usage

1. Start the server:

   volttron-platform-lookup <optional port. defaults to 8000>
   

2. The API will be available at http://localhost:8000

3. Access the API documentation at http://localhost:8000/docs

API Endpoints

The service provides RESTful endpoints for platform management. All data is exchanged in JSON format.

Platform Model

Each platform registration includes:

• id: Unique identifier for the platform (alphanumeric, underscores, and hyphens allowed)
• address: Network address where the platform can be reached (IP, domain, or URI)
• public_credentials: Authentication credential (minimum 16 characters)
• group: Optional grouping parameter (defaults to "default")

Example platform registration:

{
    "id": "platform-123",
    "address": "tcp://example.com",
    "public_credentials": "abcdef1234567890",
    "group": "production"
}

Data Storage

Platform data is stored in platforms.json with thread-safe access mechanisms to prevent race conditions during concurrent operations.

Security

• Input validation for all API endpoints
• Credential length requirements
• Address format validation
• Thread-safe operations

Contributing

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

License

This project is licensed under the Apache License, Version 2.0. See the LICENSE file for details.

Copyright 2025 Battelle Memorial Institute

Disclaimer Notice

This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights.

Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.