Merge phase-1 (radio ticker, tyre-deg panel, hero) into event-rail branch

This commit is contained in:
2026-07-04 00:08:24 -04:00
37 changed files with 4117 additions and 339 deletions

112
frontend/src/lib/delta.ts Normal file
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// Cumulative lap-time delta math for driver comparison charts.
// Pure functions only — no React — so everything is unit-testable.
export interface DeltaSeries {
label: string
color: string
/** Lap duration in seconds; null = no time (pit/out lap). */
lapTimes: (number | null)[]
}
export interface DriverDeltaResult {
label: string
color: string
/** Cumulative delta vs reference (seconds); null when that lap has no time. */
deltas: (number | null)[]
}
/** Format a delta value for axis labels and tooltips (e.g. "+2.5s", "-1.2s"). */
export function formatDeltaSeconds(delta: number): string {
const sign = delta >= 0 ? '+' : ''
return `${sign}${delta.toFixed(1)}s`
}
function buildCumulative(lapTimes: ReadonlyArray<number | null>): number[] {
const cumulative: number[] = []
let running = 0
for (const lap of lapTimes) {
if (lap !== null) {
running += lap
}
cumulative.push(running)
}
return cumulative
}
function resolveReference(
series: ReadonlyArray<DeltaSeries>,
referenceLabel?: string,
): DeltaSeries | null {
if (series.length === 0) return null
if (referenceLabel) {
return series.find((s) => s.label === referenceLabel) ?? series[0]
}
return series[0]
}
/**
* Compute per-lap cumulative time delta for each non-reference driver.
* Positive = behind reference; negative = ahead.
* Null laps carry cumulative forward but emit null in deltas (skip when plotting).
*/
export function computeCumulativeDeltas(
series: ReadonlyArray<DeltaSeries>,
referenceLabel?: string,
): DriverDeltaResult[] {
const reference = resolveReference(series, referenceLabel)
if (!reference) return []
const refCumulative = buildCumulative(reference.lapTimes)
return series
.filter((s) => s.label !== reference.label)
.map((driver) => {
const driverCumulative = buildCumulative(driver.lapTimes)
const lapCount = Math.max(driver.lapTimes.length, refCumulative.length)
const deltas: (number | null)[] = []
for (let i = 0; i < lapCount; i++) {
if (driver.lapTimes[i] === null) {
deltas.push(null)
continue
}
const refValue = refCumulative[i] ?? refCumulative[refCumulative.length - 1] ?? 0
const driverValue =
driverCumulative[i] ?? driverCumulative[driverCumulative.length - 1] ?? 0
deltas.push(driverValue - refValue)
}
return {
label: driver.label,
color: driver.color,
deltas,
}
})
}
/** Split delta samples into contiguous SVG polyline point strings (gaps at null laps). */
export function deltaPolylineSegments(
deltas: ReadonlyArray<number | null>,
toPoint: (lapIndex: number, delta: number) => string,
): string[] {
const segments: string[] = []
let current: string[] = []
for (let i = 0; i < deltas.length; i++) {
const value = deltas[i]
if (value === null) {
if (current.length > 0) {
segments.push(current.join(' '))
current = []
}
continue
}
current.push(toPoint(i, value))
}
if (current.length > 0) {
segments.push(current.join(' '))
}
return segments
}

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frontend/src/lib/hero.ts Normal file
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import type { Session } from '../types'
import { sessionEndTime, sessionStartTime, type FocusMeetingKind } from './schedule'
export type HeroStateKind = 'live' | 'upcoming' | 'between'
export interface HeroStateInputs {
now: Date
liveActive: boolean
currentSession: Session | null
focusKind: FocusMeetingKind | null
}
export function classifySessionStatus(session: Session, now: Date): 'live' | 'done' | 'upcoming' {
const start = sessionStartTime(session)
const end = sessionEndTime(session)
if (start && end && now >= start && now < end) return 'live'
if (start && now >= start) return 'done'
return 'upcoming'
}
export function heroState(inputs: HeroStateInputs): HeroStateKind {
const { liveActive, currentSession, focusKind } = inputs
if (liveActive || currentSession) return 'live'
if (focusKind === 'current') return 'upcoming'
return 'between'
}

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frontend/src/lib/radio.ts Normal file
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import type { LiveRadioCapture, LiveSessionMeta } from '../types'
export const LIVE_TIMING_STATIC_BASE = 'https://livetiming.formula1.com/static/'
export function radioClipUrl(
session: Pick<LiveSessionMeta, 'Path'> | null | undefined,
capture: Pick<LiveRadioCapture, 'Path'> | null | undefined,
): string {
const sessionPath = session?.Path?.trim()
const capturePath = capture?.Path?.trim()
if (!sessionPath || !capturePath) return ''
if (/^https?:\/\//i.test(capturePath)) return capturePath
const base = LIVE_TIMING_STATIC_BASE.replace(/\/+$/, '')
const normalizedSession = sessionPath.replace(/^\/+|\/+$/g, '')
const normalizedCapture = capturePath.replace(/^\/+/g, '')
return `${base}/${normalizedSession}/${normalizedCapture}`
}
export function radioCaptureKey(capture: LiveRadioCapture): string {
return `${capture.Utc}-${capture.RacingNumber}-${capture.Path}`
}

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frontend/src/lib/tyredeg.ts Normal file
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// Tyre degradation + pit-window estimation for the live timing page.
// Pure functions only — no React, no side effects — so everything is unit-testable.
//
// Lap-time samples are accumulated client-side from successive SSE snapshots
// (mirroring the gapHistory/battles precedent); nothing here talks to the server.
import type { LiveTimingRow } from './live'
import { driverCode } from './live'
import { parseIntervalSeconds } from './gapHistory'
/**
* Rough typical pit-lane time loss (entry + stop + exit vs a flying lap), in
* seconds. Per-track values are deliberately out of scope for v1.
*/
export const PIT_LOSS_SECONDS = 22
/** Minimum clean laps in the current stint before a slope is trustworthy. */
export const MIN_CLEAN_LAPS = 4
/**
* Laps more than this many seconds off the stint median are treated as
* outliers (traffic, spins, safety car) and excluded from the fit.
*/
export const OUTLIER_DELTA_SECONDS = 5
/**
* Slope classification thresholds (seconds per lap):
* slope <= -DEG_SLOPE_THRESHOLD -> 'improving' (track evolution, fuel burn dominating)
* slope >= +DEG_SLOPE_THRESHOLD -> 'degrading' (tyre wear dominating)
* otherwise -> 'stable'
*/
export const DEG_SLOPE_THRESHOLD = 0.05
/** Safety cap so a very long stint cannot grow the buffer unbounded. */
export const MAX_STINT_SAMPLES = 80
export type DegTrend = 'improving' | 'stable' | 'degrading'
export interface StintSample {
lap: number
seconds: number
}
export interface DriverStintHistory {
compound: string
tyreAge: number
lastLapNumber: number
lastLapTime: string
/** The next completed lap is an out-lap (fresh stint) and must be discarded. */
skipNextLap: boolean
samples: StintSample[]
}
/** Per-driver current-stint lap history, keyed by racing number. */
export type StintHistoryMap = Record<string, DriverStintHistory>
export interface StintLapInput {
racingNumber: string
lapNumber: number
lastLapTime: string
compound: string
tyreAge: number
inPit: boolean
pitOut: boolean
}
/**
* Parse an F1 live-timing lap time string ("1:23.456", "83.456") into seconds.
* Same conventions as parseIntervalSeconds, but a lap time is never signed and
* never a lapped/leader marker; zero or negative values are rejected.
*/
export function parseLapTimeSeconds(raw: string | null | undefined): number | null {
const value = parseIntervalSeconds(raw)
if (value === null || value <= 0) return null
return value
}
export function stintInputFromRow(row: LiveTimingRow): StintLapInput {
return {
racingNumber: row.RacingNumber,
lapNumber: row.Driver.NumberOfLaps || 0,
lastLapTime: row.Driver.LastLapTime || '',
compound: row.Tyre?.Compound || '',
tyreAge: row.Tyre?.Age ?? 0,
inPit: Boolean(row.Driver.InPit),
pitOut: Boolean(row.Driver.PitOut),
}
}
/**
* Record one snapshot's worth of lap samples for each driver's current stint.
* Returns a new map (input is not mutated); drivers missing from `inputs` are
* pruned.
*
* A lap counts as completed when LastLapTime changes to a new non-empty value
* (NumberOfLaps can tick before the lap time arrives, so the time string is
* the trigger; a sample for the same lap number is replaced, not duplicated).
* The stint buffer resets when the compound changes or the tyre age drops
* (new set fitted), and laps completed in the pit lane (in-lap), on pit exit
* (out-lap), or immediately after a reset are excluded.
*/
export function recordStintSamples(
history: StintHistoryMap,
inputs: ReadonlyArray<StintLapInput>,
): StintHistoryMap {
const next: StintHistoryMap = {}
for (const input of inputs) {
if (!input.racingNumber) continue
const prior = history[input.racingNumber]
if (!prior) {
next[input.racingNumber] = {
compound: input.compound,
tyreAge: input.tyreAge,
lastLapNumber: input.lapNumber,
lastLapTime: input.lastLapTime,
skipNextLap: false,
samples: [],
}
continue
}
let samples = prior.samples
let skipNextLap = prior.skipNextLap
const compoundChanged = Boolean(input.compound) && Boolean(prior.compound) && input.compound !== prior.compound
const freshSet = input.tyreAge < prior.tyreAge
if (compoundChanged || freshSet || input.inPit) {
// Stint over (or a new one starting): drop the old laps and flag the
// upcoming out-lap for exclusion.
samples = []
skipNextLap = true
}
const lapCompleted = Boolean(input.lastLapTime) && input.lastLapTime !== prior.lastLapTime
if (lapCompleted) {
const seconds = parseLapTimeSeconds(input.lastLapTime)
const dirty = input.inPit || input.pitOut || skipNextLap
if (seconds !== null && !dirty) {
const last = samples[samples.length - 1]
if (last && last.lap === input.lapNumber) {
samples = [...samples.slice(0, -1), { lap: input.lapNumber, seconds }]
} else {
samples = [...samples, { lap: input.lapNumber, seconds }]
if (samples.length > MAX_STINT_SAMPLES) {
samples = samples.slice(samples.length - MAX_STINT_SAMPLES)
}
}
}
if (!input.inPit) skipNextLap = false
}
next[input.racingNumber] = {
compound: input.compound || prior.compound,
tyreAge: input.tyreAge,
lastLapNumber: input.lapNumber,
lastLapTime: input.lastLapTime || prior.lastLapTime,
skipNextLap,
samples,
}
}
return next
}
export interface DegModel {
/** Least-squares slope of lap time vs lap number, in seconds per lap. */
slope: number
trend: DegTrend
/** Clean (outlier-filtered) samples the fit ran over, in lap order. */
samples: StintSample[]
}
/** Drop laps more than OUTLIER_DELTA_SECONDS off the stint median. */
export function cleanStintSamples(
samples: ReadonlyArray<StintSample>,
maxDelta = OUTLIER_DELTA_SECONDS,
): StintSample[] {
if (samples.length === 0) return []
const sorted = samples.map((sample) => sample.seconds).sort((a, b) => a - b)
const mid = Math.floor(sorted.length / 2)
const median = sorted.length % 2 === 1 ? sorted[mid] : (sorted[mid - 1] + sorted[mid]) / 2
return samples.filter((sample) => Math.abs(sample.seconds - median) <= maxDelta)
}
/**
* Fit a linear degradation model over the stint's clean laps.
* Returns null with fewer than MIN_CLEAN_LAPS clean samples — the caller
* should show a "warming up" placeholder rather than a junk slope.
*/
export function degradationModel(samples: ReadonlyArray<StintSample>): DegModel | null {
const clean = cleanStintSamples(samples)
if (clean.length < MIN_CLEAN_LAPS) return null
const n = clean.length
const meanLap = clean.reduce((sum, s) => sum + s.lap, 0) / n
const meanSec = clean.reduce((sum, s) => sum + s.seconds, 0) / n
let numerator = 0
let denominator = 0
for (const sample of clean) {
numerator += (sample.lap - meanLap) * (sample.seconds - meanSec)
denominator += (sample.lap - meanLap) ** 2
}
if (denominator === 0) return null
const slope = numerator / denominator
const trend: DegTrend =
slope <= -DEG_SLOPE_THRESHOLD ? 'improving' : slope >= DEG_SLOPE_THRESHOLD ? 'degrading' : 'stable'
return { slope, trend, samples: clean }
}
/** "+0.08s/lap" / "-0.12s/lap" display form. */
export function formatSlope(slope: number): string {
const sign = slope >= 0 ? '+' : ''
return `${sign}${Math.abs(slope).toFixed(2)}s/lap`
}
export interface PitRejoinEstimate {
rejoinPosition: number
/** Cars behind that would get past during the stop. */
positionsLost: number
/** Driver code directly ahead after rejoining, if any. */
aheadCode: string | null
/** Driver code directly behind after rejoining, if any. */
behindCode: string | null
}
/**
* Estimate where a driver rejoins after a pit stop costing `pitLoss` seconds.
*
* Walks the cars behind the driver, accumulating their Interval (gap to car
* ahead) values: every car whose cumulative gap to the driver is under the
* pit loss gets past. An unparsable interval (lapped marker like "1L") ends
* the walk — those cars are at least a lap down and stay behind. Cars in the
* pits or retired are excluded from the ladder.
*/
export function estimatePitRejoin(
rows: ReadonlyArray<LiveTimingRow>,
racingNumber: string,
pitLoss = PIT_LOSS_SECONDS,
): PitRejoinEstimate | null {
const ladder = rows
.filter((row) => row.Position > 0 && !row.Driver.Retired && !row.Driver.InPit)
.sort((a, b) => a.Position - b.Position)
const index = ladder.findIndex((row) => row.RacingNumber === racingNumber)
if (index === -1) return null
let cumulative = 0
let positionsLost = 0
for (let i = index + 1; i < ladder.length; i++) {
const gap = parseIntervalSeconds(ladder[i].Driver.Interval)
if (gap === null) break
cumulative += Math.max(0, gap)
if (cumulative >= pitLoss) break
positionsLost += 1
}
const ahead = positionsLost > 0 ? ladder[index + positionsLost] : ladder[index - 1]
const behind = ladder[index + positionsLost + 1]
return {
rejoinPosition: ladder[index].Position + positionsLost,
positionsLost,
aheadCode: ahead ? driverCode(ahead) : null,
behindCode: behind ? driverCode(behind) : null,
}
}