Introduction
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For this project an API was developed so the user can get various data such as petri nets, event dictionaries and others on his browser with a GET method and also return this data to a website with a POST method. Smyrida API was developed in python because it is a powerful language for data analysis and provides many ready-made and useful libraries. For the development of this API flask was used (https://flask.palletsprojects.com/en/1.1.x/).

Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools [11].

When we run flask web application with the command python API.py. A local IP address is return. In this case it is http://127.0.0.1:5000/. This IP is our endpoint. We can call this endpoint with two ways POST and GET.

Below there is an example of output when a user starts the API:

* Serving Flask app "api" (lazy loading)

* Environment: production

WARNING: This is a development server. Do not use it in a production deployment.

Use a production WSGI server instead.

* Debug mode: on

* Restarting with windowsapi reloader

* Debugger is active!

* Debugger PIN: 282-941-890

* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

Bellow there is a UML example of Web Interface communication with the API and a diagram for the web Interface.

.. image:: images/2.1.jpg
	:align: center
	
.. image:: images/2.2.jpg
	:align: center