jamoqs/normalizer-challenge

This repository is for a normalize challenge

Football Event Data Normalizer

This script processes football event data stored in a CSV file and normalizes it into JSONL format.

Prerequisites

• Python 3.x

Installation

Simply run the run.py script and ensure you have Python installed on your system.

Running the Script

To run the script, open a terminal or command prompt, navigate to the directory containing run.py, and execute the following command:

By default the script will use the input.csv file in the same directory. If you want to use a different file, you can specify the path to the input file as an argument:

python run.py

Command-line Options

[input_file] (optional): Path to the input CSV file. If not provided, the script will default to using input.csv.

--output extension (optional): Specifies the output file extension. The default is jsonl. Supported extensions include json and jsonl.

--test (optional): If included, runs tests to verify the functionality of the script.

--help (optional): Displays the help message.

Example Usage

python run.py data.csv --output jsonl

This command processes the data stored in data.csv and outputs the normalized data in JSON format to a file named output.json.

Development

Dependencies

• argparse: Used for parsing command-line arguments.

Running Tests

To run tests, include the --test flag when executing the script:

python run.py --test

License

This script is released under the MIT License. Feel free to modify and distribute it as needed.