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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=["*"], | |
) | |
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) | |
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"}]} | |
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"}]} | |
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"}]} | |
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}]} | |
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} | |
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 | |