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import os
from shiny import App, ui, render, reactive
import fastf1 as ff1
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib import cm
import numpy as np
import shinyswatch

# Define cache folder path
cache_path = os.getcwd() + "/cache"
print(f"Cache path: {cache_path}")

ff1.Cache.enable_cache(cache_path)

# Offline mode to prevent F1 API crashes on Hugging Face
ff1.Cache.offline_mode(enabled=True)

# Define drivers
drivers_2023 = {'Fastest driver': 'Fastest driver', 'VER': 'Max Verstappen', 
                'NOR': 'Lando Norris', 'GAS': 'Pierre Gasly', 'PER': 'Sergio Perez', 
                'ALO': 'Fernando Alonso', 'LEC': 'Charles Leclerc', 'STR': 'Lance Stroll', 
                'MAG': 'Kevin Magnussen', 'TSU': 'Yuki Tsunoda', 'ALB': 'Alexander Albon',
                'ZHO': 'Guanyu Zhou', 'HUL': 'Nico Hülkenberg', 'OCO': 'Esteban Ocon',
                'HAM': 'Lewis Hamilton', 'SAI': 'Carlos Sainz', 'RUS': 'George Russel',
                'BOT': 'Valteri Bottas', 'PIA': 'Oscar Piastri', 'VRI': 'Nyck de Vries',
                'SAR': 'Logan Sargeant', 'RIC': 'Daniel Ricciardo'}

drivers_2022 = {'Fastest driver': 'Fastest driver', 'VER': 'Max Verstappen', 
                'NOR': 'Lando Norris', 'GAS': 'Pierre Gasly', 'PER': 'Sergio Perez', 
                'ALO': 'Fernando Alonso', 'LEC': 'Charles Leclerc', 'STR': 'Lance Stroll', 
                'MAG': 'Kevin Magnussen', 'TSU': 'Yuki Tsunoda', 'ALB': 'Alexander Albon',
                'ZHO': 'Guanyu Zhou', 'HUL': 'Nico Hülkenberg', 'OCO': 'Esteban Ocon',
                'HAM': 'Lewis Hamilton', 'SAI': 'Carlos Sainz', 'RUS': 'George Russel',
                'BOT': 'Valteri Bottas', 'VRI': 'Nyck de Vries', 'VET': 'Sebastian Vettel',
                'RIC': 'Daniel Ricciardo', 'MSC': 'Mick Schumacher',
                'LAT': 'Nicolas Latifi'}

app_ui = ui.page_fluid(
    shinyswatch.theme.minty(),
    ui.panel_title("Gear usage in fastest lap"),
    ui.layout_sidebar(
        ui.panel_sidebar(
            ui.input_select(
                "track_select", "Select track:",
                choices = ["Austria", "Hungary", "Spain", "Bahrain", "United-Kingdom"],
                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"
            ),
            width=2
        ),
        
        ui.panel_main(
            ui.row(
                ui.column(
                    6,
                    ui.input_select(
                        "driver1_select", label="Select driver 1:",
                        choices = ["Fastest driver"],
                        selected = "Fastest driver"
                    )
                ),
                ui.column(
                    6,
                    ui.input_select(
                        "driver2_select", label="Select driver 2:",
                        choices = ["Fastest driver"],
                        selected = "Fastest driver"
                    )
                )
            ),
            ui.row(
                ui.column(
                    6,
                    ui.output_plot("gear_1"),
                    ui.output_text("fastest_driver_1")
                ),
                ui.column(
                    6,
                    ui.output_plot("gear_2"),
                    ui.output_text("fastest_driver_2")
                )
            ),
        ),
    ),
)   

def server(input, output, session):

    # Updating driver selection list
    @reactive.Effect()
    def _():
        if input.year() == "2023":
            driver_options = drivers_2023
        elif input.year() == "2022":
            driver_options = drivers_2022
            
        ui.update_select("driver1_select",
            label="Select driver 1:",
            choices=driver_options,
            selected=input.driver1_select()
        )

        ui.update_select("driver2_select",
            label="Select driver 2:",
            choices=driver_options,
            selected=input.driver2_select()
        )
    
    # Get required data for driver 2 based on selection
    @reactive.Calc
    def get_data_1():
        try:
            f1_session = ff1.get_session(int(input.year()), input.track_select(), input.session_type())
            f1_session.load()

            # Check if user input == fastest driver
            if input.driver1_select() == "Fastest driver":
                lap = f1_session.laps.pick_fastest()
            else:
                laps_driver = f1_session.laps.pick_driver(input.driver1_select())
                lap = laps_driver.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

        except Exception:
            ui.notification_show("Data not available. Select another track or driver.", duration=10, type = 'error')

    # Get required data for driver 2 based on selection
    @reactive.Calc
    def get_data_2():
        try:
            f1_session = ff1.get_session(int(input.year()), input.track_select(), input.session_type())
            f1_session.load()

            # Check if user input == fastest driver
            if input.driver2_select() == "Fastest driver":
                lap = f1_session.laps.pick_fastest()
            else:
                laps_driver = f1_session.laps.pick_driver(input.driver2_select())
                lap = laps_driver.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

        except Exception:
            ui.notification_show("Data not available. Select another track or driver.", duration=10, type = 'error')
    
    @output
    @render.text
    def fastest_driver_1():
        segments, gear, driver = get_data_1()
        #print(f"The driver of the fastest lap this session is: {driver}")
        return f"Graph shows the fastest lap of: {driver}"
    
    @output
    @render.text
    def fastest_driver_2():
        segments, gear, driver = get_data_2()
        #print(f"The driver of the fastest lap this session is: {driver}")
        return f"Graph shows the fastest lap of: {driver}"

    @output
    @render.plot
    def gear_1():
        try:
            segments, gear, driver = get_data_1()
            
            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)

            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

        except Exception:
            pass

    @output
    @render.plot
    def gear_2():
        try:
            segments, gear, driver = get_data_2()
            
            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)

            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

        except Exception:
            pass

app = App(app_ui, server)