app.py

import os 
#os.environ['MPLCONFIGDIR'] = os.getcwd() + "/configs"

from shiny import App, ui, render, reactive
from shinywidgets import output_widget, render_widget
import fastf1 as ff1
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib import cm
import numpy as np
from pathlib import Path
import shiny.experimental as x
import shinyswatch

# Create a Path object for the folder
cache_path = os.getcwd() + "/cache"

ff1.Cache.enable_cache(cache_path)
#ff1.Cache.offline_mode(enabled=True)

print(f"Cache path: {cache_path}")

app_ui = ui.page_fluid(
    shinyswatch.theme.minty(),
    ui.layout_sidebar(
        ui.panel_sidebar(
            ui.input_select(
            "track", label="Select track:",
            choices=["Austria", "Hungary", "Spain", "Bahrain"],
            selected = "Austria"),
            ui.input_radio_buttons(
                    "session_type", "Session type:", 
                    choices = {"R": "Race", "Q": "Qualification"}, 
                    selected = "R"),
            ui.input_radio_buttons(
                    "year", "Year:", 
                    choices = [2023, 2022], 
                    selected = 2023),
            ),

        ui.panel_main(
            ui.h3("Gear usage in fastest lap"),
            x.ui.output_plot("gear", fill = True),
            ui.output_text("fastest_driver")
        ),
    ),
)   

def server(input, output, session):
    @reactive.Calc
    def get_data():
        f1_session = ff1.get_session(int(input.year()), input.track(), input.session_type())
        f1_session.load()

        lap = f1_session.laps.pick_fastest()
        tel = lap.get_telemetry()
        driver = lap['Driver']

        #converting data to numpy data tables
        x = np.array(tel['X'].values)
        y = np.array(tel['Y'].values)

        points = np.array([x, y]).T.reshape(-1, 1, 2)
        segments = np.concatenate([points[:-1], points[1:]], axis=1)
        gear = tel['nGear'].to_numpy().astype(float)
        return segments, gear, driver

    @output
    @render.plot
    def gear():
        segments, gear, driver = get_data()
        
        cmap = cm.get_cmap('Paired')
        lc_comp = LineCollection(segments, norm=plt.Normalize(1, cmap.N+1), cmap=cmap)
        lc_comp.set_array(gear)
        lc_comp.set_linewidth(4)

        plt.gca().add_collection(lc_comp)
        plt.axis('equal')
        plt.tick_params(labelleft=False, left=False, labelbottom=False, bottom=False)

        ##title = plt.suptitle(
        ##        f"Fastest Lap Gear Shift Visualization\n"
        ##        f"{lap['Driver']} - {f1_session.event['EventName']} {f1_session.event.year}"
        ##        )

        cbar = plt.colorbar(mappable=lc_comp, label="Gear", boundaries=np.arange(1, 10))
        cbar.set_ticks(np.arange(1.5, 9.5))
        cbar.set_ticklabels(np.arange(1, 9))
            
        plt

    @output
    @render.text
    def fastest_driver():
        segments, gear, driver = get_data()
        return f"The driver of the fastest lap is: {driver}"


app = App(app_ui, server)