Intelligence Playground Python Client

This repository contains a Python Library to easy connection to the Airbus Intelligence Playground API. It also provide some example of requests organized by themes in Python Notebooks.

Install the Playground API Library

First clone this repository: git clone https://github.com/airbusgeo/playground-python-client.git

Then open a command shell, go to the repository folder and type the following command: pip install . or if your have already installed the client and want to upgrade: pip install --upgrade .

This will install the Playground API Client in your local Python libraries.

Get and store your API key

To connect to the API, you need to retrieve your API_KEYS from the OneAtlas website. Follow the simple steps below:

1. Visit this URL: https://data.api.oneatlas.airbus.com/api-keys
2. Click the Create and API key button
3. Enter a description for your API_KEY (e.g. Playground Keys)
4. Store the file in the same folder than this notebook and name it api_key.txt

Make sure to keep your api_key.txt safe! Do not include it in a public github repository for example :-)

The following script will then use this api_key.txt file to generate an ACCESS_TOKEN. We will store this ACCESS_TOKEN in HEADERS that we will send with each requests. The ACCESS_TOKEN has a timeout so we will create a function that renew the ACCESS_TOKEN when half of the timeout has expired.

Run the examples in Jupyter Notebook from Docker container (optional)

You can run the Jupyter Notebook examples to get familiar with the Playground Client. If you do not have a running Jupyter environment, you can run Jupyter Lab with the help of the Docker file that we provide. Just run the following command ./run_docker.sh --build to create and run the container. After the Docker image has been built, you just need to run ./run_docker.sh.

When the container is running, just open your browser and navigate to http://localhost:8080. The password is password.

How to create the Playground Client in your Python scripts

Just import and create an instance of the PlaygroundClient object:

# Connect to the Playground API 
from playgroundclient import PlaygroundClient
play = PlaygroundClient()

You can start using the client immediately:

# Logged in user
user = play.get_logged_user()
print("Logged as user: {} {}".format(user['firstname'], user['lastname']))

Jupyter Notebooks examples of Playground API scripts

This notebooks presents some useful task with Playground:

• Getting started
• Working with imagery (searching and displaying)