refactor: migrate aris-data-source-tfl to aris-source-tfl

Migrates TFL package from old DataSource interface to new FeedSource
interface for use with FeedEngine.

Changes:
- Rename package from @aris/data-source-tfl to @aris/source-tfl
- Replace TflDataSource class with TflSource implementing FeedSource
- Add dependency on @aris/source-location for LocationKey
- Use normalized priority values (0-1) instead of arbitrary numbers
- Update tests for FeedSource interface
- Update README.md with new package name

Co-authored-by: Ona <no-reply@ona.com>

packages/aris-source-tfl/src/tfl-source.ts

@@ -0,0 +1,136 @@
+import type { Context, FeedSource } from "@aris/core"
+
+import { contextValue } from "@aris/core"
+import { LocationKey } from "@aris/source-location"
+
+import type {
+	ITflApi,
+	StationLocation,
+	TflAlertData,
+	TflAlertFeedItem,
+	TflAlertSeverity,
+	TflLineId,
+	TflSourceOptions,
+} from "./types.ts"
+
+import { TflApi } from "./tfl-api.ts"
+
+const SEVERITY_PRIORITY: Record<TflAlertSeverity, number> = {
+	closure: 1.0,
+	"major-delays": 0.8,
+	"minor-delays": 0.6,
+}
+
+/**
+ * A FeedSource that provides TfL (Transport for London) service alerts.
+ *
+ * Depends on location source for proximity-based sorting. Produces feed items
+ * for tube, overground, and Elizabeth line disruptions.
+ *
+ * @example
+ * ```ts
+ * const tflSource = new TflSource({
+ *   apiKey: process.env.TFL_API_KEY!,
+ *   lines: ["northern", "victoria", "jubilee"],
+ * })
+ *
+ * const engine = new FeedEngine()
+ *   .register(locationSource)
+ *   .register(tflSource)
+ *
+ * const { items } = await engine.refresh()
+ * ```
+ */
+export class TflSource implements FeedSource<TflAlertFeedItem> {
+	readonly id = "tfl"
+	readonly dependencies = ["location"]
+
+	private readonly client: ITflApi
+	private readonly lines?: TflLineId[]
+
+	constructor(options: TflSourceOptions) {
+		if (!options.client && !options.apiKey) {
+			throw new Error("Either client or apiKey must be provided")
+		}
+		this.client = options.client ?? new TflApi(options.apiKey!)
+		this.lines = options.lines
+	}
+
+	async fetchItems(context: Context): Promise<TflAlertFeedItem[]> {
+		const [statuses, stations] = await Promise.all([
+			this.client.fetchLineStatuses(this.lines),
+			this.client.fetchStations(),
+		])
+
+		const location = contextValue(context, LocationKey)
+
+		const items: TflAlertFeedItem[] = statuses.map((status) => {
+			const closestStationDistance = location
+				? findClosestStationDistance(status.lineId, stations, location.lat, location.lng)
+				: null
+
+			const data: TflAlertData = {
+				line: status.lineId,
+				lineName: status.lineName,
+				severity: status.severity,
+				description: status.description,
+				closestStationDistance,
+			}
+
+			return {
+				id: `tfl-alert-${status.lineId}-${status.severity}`,
+				type: "tfl-alert",
+				priority: SEVERITY_PRIORITY[status.severity],
+				timestamp: context.time,
+				data,
+			}
+		})
+
+		// Sort by severity (desc), then by proximity (asc) if location available
+		items.sort((a, b) => {
+			if (b.priority !== a.priority) {
+				return b.priority - a.priority
+			}
+			if (a.data.closestStationDistance !== null && b.data.closestStationDistance !== null) {
+				return a.data.closestStationDistance - b.data.closestStationDistance
+			}
+			return 0
+		})
+
+		return items
+	}
+}
+
+function haversineDistance(lat1: number, lng1: number, lat2: number, lng2: number): number {
+	const R = 6371 // Earth's radius in km
+	const dLat = ((lat2 - lat1) * Math.PI) / 180
+	const dLng = ((lng2 - lng1) * Math.PI) / 180
+	const a =
+		Math.sin(dLat / 2) * Math.sin(dLat / 2) +
+		Math.cos((lat1 * Math.PI) / 180) *
+			Math.cos((lat2 * Math.PI) / 180) *
+			Math.sin(dLng / 2) *
+			Math.sin(dLng / 2)
+	const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a))
+	return R * c
+}
+
+function findClosestStationDistance(
+	lineId: TflLineId,
+	stations: StationLocation[],
+	userLat: number,
+	userLng: number,
+): number | null {
+	const lineStations = stations.filter((s) => s.lines.includes(lineId))
+	if (lineStations.length === 0) return null
+
+	let minDistance = Infinity
+	for (const station of lineStations) {
+		const distance = haversineDistance(userLat, userLng, station.lat, station.lng)
+		if (distance < minDistance) {
+			minDistance = distance
+		}
+	}
+
+	return minDistance
+}