Platform-agnostic interoperability demo

A demonstration of the platform-agnostic interoperability principles and specifications in action

Flask RO-Crate Application

This Python application is built using Flask to handle file uploads and work with RO-Crates, along with a simple data filtering and listing feature.

Prerequisites

• Python 3.x
• Flask
• Flask-CORS
• rocrate

Installation

1. Clone the repository to your local machine or download the source code.

2. Navigate to the application directory.

3. Install the required Python packages using pip:

   pip install Flask Flask-CORS rocrate

Configuration

Before running the application, you can modify the app.config settings in app.py, to suit your environment:

• UPLOAD_FOLDER: Directory to store uploaded files.
• RO_CRATE_FOLDER: Directory to store generated RO-Crate files.
• MAX_CONTENT_LENGTH: Maximum allowed file size for uploads.

Running the Application

To run each application, use the following command in two terminals:

python app.py

This will start the Flask server on defined port. (5001 and 5002)

Usage

Once the application is running, you can access the following endpoints:

• GET /: Renders the main page from templates/index.html.
• GET /data: Returns all predefined data as JSON.
• GET /data/filter?type=[type]: Returns filtered data based on the 'type' query parameter.
• POST /upload_rocrate: Allows uploading a RO-Crate zip file, processes it, and returns its contents.
• GET /data/types: Generates and downloads a RO-Crate containing types of data.
• POST /upload: Allows uploading a file and saving its type.
• GET /files: Lists all files in the upload directory with their types.
• GET /export: Prepares and provides a RO-Crate for download based on uploaded files.
• GET /download: Downloads the prepared RO-Crate.

Notes

Ensure that the directories specified in UPLOAD_FOLDER and RO_CRATE_FOLDER exist or are created by the application before uploading or exporting files.