main.py

import datetime
import os

import fastf1
import pandas as pd
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse, HTMLResponse
from pydantic import BaseModel

import available_data

app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

@app.get("/", response_model=None)
async def root():
    return HTMLResponse(
        content="""<iframe src="https://tracinginsights-f1-analysis.hf.space" frameborder="0" style="width:100%; height:100%;" scrolling="yes" allowfullscreen:"yes"></iframe>""",
        status_code=200)

@app.get("/years", response_model=None)
def years_available() -> any:
    # make a list from 2018 to current year
    current_year = datetime.datetime.now().year
    years = list(range(2018, current_year+1))
    # reverse the list to get the latest year first
    years.reverse()
    years = [{"label": str(year), "value": year} for year in years]
    return {"years": years}


# format for events {"events":[{"label":"Saudi Arabian Grand Prix","value":2},{"label":"Bahrain Grand Prix","value":1},{"label":"Pre-Season Testing","value":"t1"}]}


@app.get("/{year}", response_model=None)
def events_available(year: int) -> any:
    # get events available for a given year
    data = available_data.LatestData(year)
    events = data.get_events()
    events = [{"label": event, "value": event} for i, event in enumerate(events)]
    events.reverse()

    return {"events": events}

# format for sessions {"sessions":[{"label":"FP1","value":"FP1"},{"label":"FP2","value":"FP2"},{"label":"FP3","value":"FP3"},{"label":"Qualifying","value":"Q"},{"label":"Race","value":"R"}]}


@app.get("/{year}/{event}", response_model=None)
def sessions_available(year: int, event: str | int) -> any:
    # get sessions available for a given year and event
    data = available_data.LatestData(year)
    sessions = data.get_sessions(event)
    sessions = [{"label": session, "value": session} for session in sessions]

    return {"sessions": sessions}

# format for drivers {"drivers":[{"color":"#fff500","label":"RIC","value":"RIC"},{"color":"#ff8700","label":"NOR","value":"NOR"},{"color":"#c00000","label":"VET","value":"VET"},{"color":"#0082fa","label":"LAT","value":"LAT"},{"color":"#787878","label":"GRO","value":"GRO"},{"color":"#ffffff","label":"GAS","value":"GAS"},{"color":"#f596c8","label":"STR","value":"STR"},{"color":"#787878","label":"MAG","value":"MAG"},{"color":"#0600ef","label":"ALB","value":"ALB"},{"color":"#ffffff","label":"KVY","value":"KVY"},{"color":"#fff500","label":"OCO","value":"OCO"},{"color":"#0600ef","label":"VER","value":"VER"},{"color":"#00d2be","label":"HAM","value":"HAM"},{"color":"#ff8700","label":"SAI","value":"SAI"},{"color":"#00d2be","label":"BOT","value":"BOT"},{"color":"#960000","label":"GIO","value":"GIO"}]}


@app.get("/{year}/{event}/{session}", response_model=None)
def session_drivers(year: int, event: str | int, session: str) -> any:
    # get drivers available for a given year, event and session
    f1session = fastf1.get_session(year, event, session)
    f1session.load(telemetry=False, weather=False, messages=False)
    laps = f1session.laps
    team_colors = available_data.team_colors(year)
    # add team_colors dict to laps on Team column

    drivers = laps.Driver.unique()
    # for each driver in drivers, get the Team column from laps and get the color from team_colors dict
    drivers = [{"color": team_colors[laps[laps.Driver ==
                                          driver].Team.iloc[0]], "label": driver, "value": driver} for driver in drivers]

    return {"drivers": drivers}


# format for chartData {"chartData":[{"lapnumber":1},{
    # "VER":91.564,
    # "VER_compound":"SOFT",
    # "VER_compound_color":"#FF5733",
    # "lapnumber":2
    # },{"lapnumber":3},{"VER":90.494,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":4},{"lapnumber":5},{"VER":90.062,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":6},{"lapnumber":7},{"VER":89.815,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":8},{"VER":105.248,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":9},{"lapnumber":10},{"VER":89.79,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":11},{"VER":145.101,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":12},{"lapnumber":13},{"VER":89.662,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":14},{"lapnumber":15},{"VER":89.617,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":16},{"lapnumber":17},{"VER":140.717,"VER_compound":"SOFT","VER_compound_color":"#FF5733","lapnumber":18}]}


@app.get("/{year}/{event}/{session}/{driver}", response_model=None)
def laps_data(year: int, event: str | int, session: str, driver: str) -> any:

    # get drivers available for a given year, event and session
    f1session = fastf1.get_session(year, event, session)
    f1session.load(telemetry=False, weather=False, messages=False)
    laps = f1session.laps
    team_colors = available_data.team_colors(year)
    # add team_colors dict to laps on Team column

    drivers = laps.Driver.unique()
    # for each driver in drivers, get the Team column from laps and get the color from team_colors dict
    drivers = [{"color": team_colors[laps[laps.Driver ==
                                          driver].Team.iloc[0]], "label": driver, "value": driver} for driver in drivers]

    driver_laps = laps.pick_driver(driver)
    driver_laps['LapTime'] = driver_laps['LapTime'].dt.total_seconds()
    compound_colors = {
        "SOFT": "#FF0000",
        "MEDIUM": "#FFFF00",
        "HARD": "#FFFFFF",
        "INTERMEDIATE": "#00FF00",
        "WET": "#088cd0",

    }

    driver_laps_data = []

    for _, row in driver_laps.iterrows():

        if row['LapTime'] > 0:
            lap = {f"{driver}": row['LapTime'],
                   f"{driver}_compound": row['Compound'],
                   f"{driver}_compound_color": compound_colors[row['Compound']],
                   "lapnumber": row['LapNumber']}
        else:
            lap = {"lapnumber": row['LapNumber']}

        driver_laps_data.append(lap)

    return {"chartData": driver_laps_data}


@app.get("/{year}/{event}/{session}/{driver}/{lap_number}", response_model=None)
def telemetry_data(year: int, event: str | int, session: str, driver: str, lap_number: int) -> any:

    f1session = fastf1.get_session(year, event, session)
    f1session.load(telemetry=True, weather=False, messages=False)
    laps = f1session.laps
    
    driver_laps = laps.pick_driver(driver)
    driver_laps['LapTime'] = driver_laps['LapTime'].dt.total_seconds()

    # get the telemetry for lap_number
    selected_lap = driver_laps[driver_laps.LapNumber == lap_number]

    telemetry = selected_lap.get_telemetry()
    telemetry['Time'] =  telemetry['Time'].dt.total_seconds()
    
    laptime = selected_lap.LapTime.values[0]
    data_key = f"{driver} - Lap {int(lap_number)} - {year} {session} [{int(laptime//60)}:{laptime%60}]"
    
    brake_tel = []
    drs_tel = []
    gear_tel = []
    rpm_tel = []
    speed_tel = []
    throttle_tel = []
    time_tel = []
    track_map = []
    
    for _, row in telemetry.iterrows():
        
        brake = {"x": row['Distance'],
                    "y": row['Brake'],
                    }
        brake_tel.append(brake)        
        
        drs = {"x": row['Distance'],
                    "y": row['DRS'],
                    }
        drs_tel.append(drs)
        
        gear = {"x": row['Distance'],
                    "y": row['nGear'],
                    }
        gear_tel.append(gear)
        
        rpm = {"x": row['Distance'],
                    "y": row['RPM'],
                    }
        rpm_tel.append(rpm)
        
        speed = {"x": row['Distance'],
                    "y": row['Speed'],
                    }
        speed_tel.append(speed)
        
        throttle = {"x": row['Distance'],
                    "y": row['Throttle'],
                    } 
        throttle_tel.append(throttle)
        
        time = {"x": row['Distance'],
                    "y": row['Time'],
                    } 
        time_tel.append(time)
        
        track = {"x": row['X'],
                    "y": row['Y'],
                    } 
        track_map.append(track)
        
    telemetry_data = {
        "telemetryData":{
            "brake": brake_tel,
            "dataKey": data_key,
            "drs": drs_tel,
            "gear": gear_tel,
            "rpm": rpm_tel,
            "speed": speed_tel,
            "throttle": throttle_tel,
            "time": time_tel,
            "trackMap": track_map,
        }
    }
    
    return telemetry_data