FastApi / Uvicorn Backend deployed with EC2 / Route53

Use the FFTT (France Table Tennis Federation) Api to get Table Tennis players and their results.

Use pylint for static code analysis

Deployed with AWS EC2 here :

http://fastapifftt.thorigne-tt.net/docs

CI to lint and redeploy on push with Github secrets

• Set up a .env file with theses keys:

ID_FFTT=""
KEY_FFTT=""
MJ_APIKEY_PUBLIC=""
MJ_APIKEY_PRIVATE=""

• Install dependencies :

pip install -r requirements.txt

• Run app in dev mode :

uvicorn src.main:app --reload

• Run a redis container with a redis insight container :

docker compose up

Redis is now on localhost:6379 and redis insight on localhost:8001

• Build the Docker image :

docker build . -t fastapi_fftt 

• Run the Docker Image to deploy it on port 80 :

docker run -d -p 80:8000 fastapi_fftt 

Script Python (in use_cases folder) :

• Get victories of a player :

res = requests.get("http://fastapifftt.thorigne-tt.net/matches/3524012",timeout=60)
for match in res.json():
    if match['victoire'] == 'V':
        print(f"{match['nom']} : {match['classement']} points")

• Get ProA Stats :

res = requests.get("http://fastapifftt.thorigne-tt.net/matches/proA", timeout=60)
for player in res.json():
    print(f'{player[0]} : {player[1]["vict"]}/{player[1]["matches"]} ' \
        f'({player[1]["win_ratio"]:.2f}%)')