Introduction The JSON-LD Management Service is a powerful and extensible backend system designed to:
Dynamically manage JSON-LD schemas. Perform CRUD (Create, Read, Update, Delete) operations across multiple collections. Seamlessly integrate with external APIs to fetch, validate, and expand JSON-LD schemas. Enforce schema validation, versioning, and conflict resolution. Provide observability through structured logging and metrics for real-time insights. Built using FastAPI, this service is modular, scalable, and optimized for modern data-driven applications.
Key Features Dynamic CRUD Operations: Handles multiple collections and schemas dynamically. Includes intelligent schema validation using JSON Schema.
JSON-LD Schema Management: Supports schema creation, validation, and expansion. Enables schema versioning and governance for tracking changes.
External API Integration: Fetches and integrates data from external APIs. Dynamically maps external fields to existing schemas.
Observability: Built-in structured logging for all operations. Prometheus metrics for monitoring performance and usage.
Error Handling: Centralized exception handling with meaningful responses. Graceful fallback for missing or invalid data.
Scalability: Designed for modular extensions and seamless integration into larger systems.
Architecture Overview Technologies Used Backend Framework: FastAPI Database: MongoDB (for schema storage and operations) External Integrations: HTTP APIs (via requests) Validation: JSON Schema Metrics: Prometheus (for performance tracking) Logging: Python’s logging module with structured outputs
Getting Started Prerequisites Ensure the following tools are installed on your system:
Python 3.10 or later pip (Python package manager) MongoDB Redis (optional for caching external API data) Docker (optional for containerization)