Rate Game

note

This tutorial assumes you already have a server.py file with Python Flask and PyMongo set up. If you haven't already, read the Overview before reading this section.

When a user rates a game in their library, we update their data with the following steps:

1. The request passes the user's email and gameId as queries. A new list with a game rated is in the request body.
2. Use MongoDB's find_one_and_update to find the user by email and replace the list with the new list.
3. Get the rated game from the list and update its rating in the dataframe to re-train our model.

The code will be as follows:

@app.route('/rate', methods=["PATCH"])

def rate_game():

email = request.args.get('email')

game_id = request.args.get('gameId')

new_list = request.get_json()['list']

user = User.find_one_and_update({'email': email}, {'$set': {'games': new_list}})

if not user:

print("no user")

abort(404)

for game in new_list:

if int(game['game_id']) == int(game_id):

# update rating to dataframe

added_rating(game['title'], int(game['rating']), email)

# re train model

train()

return jsonify({'user': user})