This python project extracts data from https://api.sportsdata.io and creates a report with the data of a specific basketball team. In this report, it can also be found a forecast of their next match (either they win, tie or lose).
Prerequisite: Install requirements specified on the "requirements.txt" file inside the "/src" directory and have Python 3:10 or similar in your computer.
First, you need to subscribe to https://api.sportsdata.io and have an API Key. With this key, you shall copy it in the config.txt file, in the src directory. To do so, replace the following text: "Enter your key here (without quotation marks and spaces)" with your key. Please, make sure you have copied your key correctly and right next to the colon (DO NOT WRITE IT IN BETWEEN QUOTATION MARKS, BRACKETS, etc...). As an example, it should look something like this: Ocp-Apim-Subscription-Key:73758HHEDJH2833739938978GH.
Now, you have ended configuring the program. Just run main.py in your interpreter or in your shell/bash terminal. You may also run the Dockerfile inside this directory.
Eventually, open the pdf file created on the "/basketball_stats" parent directory, where you will find a table with the team details, and a forecast of their next match at the bottom.
DO NOT ALTER THE STRUCTURE OF THE DIRECTORIES. You may delete all the files inside images or data, although they might be useful if there is a ConnectionError, or if you have exceeded your API free requests.
Some lines of code have been commented out inside main.py's main. The first of them, if the "#" have been previously removed, allows the user to enter the team name they want to have a report of in terminal. The second of them, opens the pdf report directly, however the Dockerfile will not function (a pdf image will be required).
In a nutshell: install all the requirements, enter your key on the "/src/config.txt" file, run "/src/main.py" and enjoy your report.