monaco-race-report 0.0.1

Package for parcing F1 race data files and building and printing a report either for

Title

monaco-race-report

Description

Provides ways parse race event logs and abbreviations files with specific format, build and print reports based on parsed data either for all the racers, or for a specific one. Includes both functions and CLI functional.

Installation

pip install monaco_race_report

Usage

• read_and_strip_lines() - A generator that reads a file and yields each line, stripped of whitespace

  • Example: from race_report.parse_and_report import read_and_strip_lines for line in read_and_strip_lines(file_path) print(line)

• parse_log_files() - Parses a log file from provided file path and extracts racer's abbreviation and lap start or end timestamp based on the file to store in a dictionary. Important: Data in the logs is expected to be in this format: 'SVF2018-05-24_12:02:58.917'. Other formats will cause an error.

  • Example: from race_report.parse_and_report import parse_log_files print(parse_log_files(path/to/log/file))

• parse_abbreviations_file() - Parses a txt file from provided file path and extracts racer's abbreviation, full name and team to store in a dictionary. Important:Data in the file is expected to be in this format: 'SVF_Sebastian Vettel_FERRARI'. Other formats are likely cause an error.

  • Example: from race_report.parse_and_report import parse_abbreviations_file print(parse_abbreviations_file(path/to/file))

• Racer - A data class to hold all info about a single racer(full name, team, start time of a lap, end time of a lap, lap time(calculated by a function)).

  • Example: from race_report.parse_and_report import Racer racer = Racer("John Doe", "FERRARI", "lap_start_time", "lap_end_time") lap_time = lap_end_time - lap_start_time or lap_start_time - lap_end_time if its greater

• calculate_lap_time() - Calculates the difference between end and start time. If the start time is recorded as being after the end time, the values get swapped.

  • Example: from race_report.parse_and_report import Racer racer = Racer("blahblahblah") print(racer.calculate_lap_time())

• format_lap_time() - Formats the lap time into a "M:SS.ms" string.

  • Example: from race_report.parse_and_report import Racer racer = Racer("blahblahblah") print(racer.format_lap_time())

• build_report() - Builds a structured report of racer performance from data files in a provided dir. Important: data files in a provided dir have to be named "start.log", "end.log" and "abbreviations.txt". Other file names will not be registered.

  • Example: from race_report.parse_and_report import build_report print(build_report(data/dir))

• print_report() - Prints a formatted race report to the console. The report shows each racer's place, full name, team, and lap time. Separates the top 15 racers from the rest with a horizontal line. Can print the report in ascending(default) or descending order.

  • Example: from race_report.parse_and_report import build_report, print_report print(print_report(build_report(data/dir), optional: "desc" for descending order))

• print_racer_stat() - Finds and prints the statistics for a single specified racer.

  • Example: from race_report.parse_and_report import build_report, print_racer_stats report = build_report(data/dir) report.sort(key=lambda racer: racer.lap_time) indexes = {racer.full_name: index for index, racer in enumerate(report)} print(print_racer_stats(indexes, report, "John_Doe"))

CLI Usage

F1_race_report --folder <data/dir> - Parses data files in a provided dir. Then builds and prints a race report.

F1_race_report --folder <data/dir> --desc - Parses data files in a provided dir. Then builds and prints a race report in descending order. Ascending order is default.

F1_race_report --folder <data/dir> --racer "John_Doe" - Parses data files in a provided dir. Then builds a race report and prints a report for a specified racer if they are present in the race.