This prototype shows how the Air APIs can be integrated with Django
framework, by calling the Flight Choice Prediction and Trip Purpose Prediction.
We also call the Flight Offers Search as a more traditional method of flight search and we compare its results with the Flight Choice Prediction ones to show the power of AI.
We also wrote a blog article as a tutorial.
Build the image from the Dockerfile. The following command will
make
The container receives your API key/secret from the environment variables. Before running the container, make sure your have your credentials correctly set:
export AMADEUS_CLIENT_ID=YOUR_API_KEY
export AMADEUS_CLIENT_SECRET=YOUR_API_SECRET
export DEBUG_VALUE="True"
Finally, start the container from the image:
make run
At this point you can open a browser and go to https://0.0.0.0:8000
.
Note that it is also possible to run in detached mode so your terminal is still usable:
make start
Stop the container with:
make stop
Clone the repository.
git clone https://github.com/amadeus4dev/amadeus-smart-flight-search-django.git
cd amadeus-smart-flight-search-django
Next create a virtual environment and install the dependencies.
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
For authentication add your API key/secret to your environmental variables.
export AMADEUS_CLIENT_ID=YOUR_API_KEY
export AMADEUS_CLIENT_SECRET=YOUR_API_SECRET
You can easily switch between test
and production
environments by setting:
export AMADEUS_HOSTNAME="test" # an empty value will also set the environment to test
or
export AMADEUS_HOSTNAME="production"
Each environment has different API keys. Do not forget to update them!
Finally, run the Django server.
python amadeus_demo_api/manage.py runserver
Finally, open a browser and go to http://127.0.0.1:8000/
This library is released under the MIT License.
You can find us on StackOverflow or join our developer community on Discord.