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Аналізатор гонки F1

Project description

Пакет task_6_report

task_6_report — Python package for analyzing Formula 1 race results: loading logs, building reports, output via CLI.


Installation

pip install task_6_report

Using

from race_report.report import RaceData
from pathlib import Path

# Specify the path to your data folder
folder = Path(r"your path to the folder/data")
data = RaceData(folder)
data.load_data()
report = data.build_report(order='asc')  # 'asc' або 'desc'
data.print_report(report)

Required data files:

abbreviations.txt:

DRR_Daniel Ricciardo_RED BULL RACING TAG HEUER
SVF_Sebastian Vettel_FERRARI
LHM_Lewis Hamilton_MERCEDES

start.log:

DRR2018-05-24_12:14:12.054
SVF2018-05-24_12:14:15.145
LHM2018-05-24_12:14:18.035

end.log:

DRR2018-05-24_12:15:26.399
SVF2018-05-24_12:15:29.750
LHM2018-05-24_12:15:33.082

An example of a report:

1. DRR_Daniel Ricciardo | RED BULL RACING TAG HEUER | 1:14.345
2. SVF_Sebastian Vettel | FERRARI | 1:14.788
...

Call in GitBash GitBash (CLI)

To run your report.py file with the --order option, use the following command:

race-report -p PATH_TO_DATA_FOLDER [-o asc|desc] [-d DRIVER_NAME]

Parameters:

  • -p, --path (required): path to the folder with the data files
  • -o, --order (optional): sort order (asc for ascending, desc for descending), default asc
  • -d, --driver (optional): pilot name to display information only for him/her

Examples:

  • Build the full report in ascending order:
race-report -p data/ -o asc
  • Build the full report in descending order:
race-report -p data/ -o desc
  • Get information only about a specific pilot:
race-report -p data/ -d "Sebastian Vettel"

The structure of the project

task_6_report/

├── src/
│   └── race_report/
│       ├── __init__.py
│       ├── report.py
│       └── cli.py
│
├── tests/
│   ├── __init__.py
│   ├── tests_load_data/
│   ├── tests_build_report/
│   ├── tests_print_report/
│   ├── tests_read_abbreviations/
│   └── tests_cli/
│
├── LICENSE
├── pyproject.toml
├── README.md
└── .gitignore

License

This project is licensed under the MIT License.

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