report-of-monaco-2018 0.0.1

A command-line tool to analyze the best lap times of Formula 1

🏎️ Monaco F1 2018 Q1 Lap Report

A command-line tool to analyze the best lap times of Formula 1 drivers during Q1 (first qualification stage) of the Monaco Grand Prix 2018.

This tool parses log files with start and end timestamps of the best laps (first 20 minutes only), calculates lap durations, and generates a clean, formatted report of the top 15 drivers who advance to Q2 — and those who don't.

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📁 Dataset

The application works with the following three files:

• abbreviations.txt: contains driver abbreviations, full names, and team names.
• start.log: contains timestamps of when each driver's start race.
• end.log: contains timestamps of when each driver's end race.

Example entry for start.log and end.log files:

SVF2018-05-24_12:02:58.917

• SVF: Driver abbreviation
• 2018-05-24: Date
• 12:02:58.917: Start or end time (used for lap duration calculation)

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Example entry for abbreviations.txt:

DRR_Daniel Riccardo_RED BULL RACING TAG HEUER

• DRR: Driver abbreviation
• Daniel Riccardo: Driver name
• RED BULL RACING TAG HEUER: Driver team

🏁 Report Example

After parsing and calculating lap times, the output will look like:

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🔧 Features

• Calculates and sorts drivers by best lap time.
• Separates top 15 drivers from the rest.
• Command-line interface to choose sorting order or filter by driver.
• Graceful error handling (missing files, invalid data).

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💻 Usage

Install dependencies and run the CLI app:

python -m report_of_monaco_2018.main --file <data_folder> [--asc | --desc]

Options:
--file <path>: Path to the folder containing the start.log, end.log, and abbreviations.txt files.

--asc: Sort report in ascending order (default).

--desc: Sort in descending order.

--driver "<name>": Show info for a specific driver.

Examples:

• python -m report_of_monaco_2018.main --file [path to your folder] --desc
• python -m report_of_monaco_2018.main --file [path to your folder] --driver "Sebastian Vettel"

License

MIT