Use smart data models as a service. First draft

In the data-models repository you can access to the first version to use smart data models as a service. Thanks to the works for the Cyclops project.

The files available create a wrap up around pysmartdatamodels package and also add one service for the online validation of NGSI-LD payloads.

Here is the readme contents to have an explanation of this first version

 

Smart Data Models API and Demo

This project consists of two main components:

  1. A FastAPI-based web service (pysdm_api3.py) that provides access to Smart Data Models functionality
  2. A demo script (demo_script2.py) that demonstrates the API endpoints
  3. A requirements file for the components use
  4. A bash script to run it

API Service (pysdm_api3.py)

A RESTful API that interfaces with the pysmartdatamodels library to provide access to Smart Data Models functionality.

Key Features

  • Payload Validation: Validate JSON payloads against Smart Data Models schemas
  • Data Model Exploration: Browse subjects, data models, and their attributes
  • Search Functionality: Find data models by exact or approximate name matching
  • Context Retrieval: Get @context information for data models
  • if you need other please email us to info @ smartdatamodels. org

Endpoints

Endpoint Method Description
/validate-url GET Validate a JSON payload from a URL against Smart Data Models
/subjects GET List all available subjects
/datamodels/{subject_name} GET List data models for a subject
/datamodels/{subject_name}/{datamodel_name}/attributes GET Get attributes of a data model
/datamodels/{subject_name}/{datamodel_name}/example GET Get an example payload of a data model
/search/datamodels/{name_pattern}/{likelihood} GET Search for data models by approximate name
/datamodels/exact-match/{datamodel_name} GET Find a data model by exact name
/subjects/exact-match/{subject_name} GET Check if a subject exists by exact name
/datamodels/{datamodel_name}/contexts GET Get @context(s) for a data model name

Validation Process

The /validate-url endpoint performs comprehensive validation:

  1. Fetches JSON from the provided URL
  2. Normalizes NGSI-LD payloads to key-values format
  3. Extracts the payload type
  4. Finds all subjects containing this type
  5. Retrieves schemas for each subject
  6. Validates against all schemas
  7. Returns consolidated results

Demo Script (demo_script2.py)

A simple interactive script that demonstrates the API endpoints by opening a series of pre-configured URLs in your default web browser.

Features

  • Opens each URL in a new browser tab
  • Pauses between URLs for user input
  • Allows early termination with ‘exit’ command
  • Provides clear progress indicators

Usage

  1. Configure the URLs in the my_web_urls list
  2. Run the script: python demo_script2.py
  3. Follow the on-screen instructions

The demo includes examples of:

  • Payload validation
  • Subject listing
  • Data model exploration
  • Attribute retrieval
  • Example payloads
  • Search functionality
  • Exact matching
  • Context retrieval

Requirements

  • Python 3.7+
  • FastAPI
  • Uvicorn
  • httpx
  • pydantic
  • jsonschema
  • webbrowser (standard library)

Installation

pip install fastapi uvicorn httpx pydantic jsonschema

Running the API

python pysdm_api3.py

Running the demo

python demo_script2.py

Configuration

Edit the my_web_urls list in demo_script2.py to change which endpoints are demonstrated.

License

Apache 2.0

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