Buckets:
| import path from "path" | |
| import { onMount } from "solid-js" | |
| import { createStore } from "solid-js/store" | |
| import { createSimpleContext } from "../context/helper" | |
| import { useTuiPaths } from "../context/runtime" | |
| import { appendText, readText, writeText } from "../util/persistence" | |
| type FrecencyEntry = { path: string; frequency: number; lastOpen: number } | |
| export const MAX_FRECENCY_ENTRIES = 1000 | |
| export function parseFrecency(text: string) { | |
| const latest = text | |
| .split("\n") | |
| .filter(Boolean) | |
| .map((line) => { | |
| try { | |
| return JSON.parse(line) as FrecencyEntry | |
| } catch { | |
| return undefined | |
| } | |
| }) | |
| .filter((line): line is FrecencyEntry => line !== undefined) | |
| .reduce<Record<string, FrecencyEntry>>((result, entry) => { | |
| result[entry.path] = entry | |
| return result | |
| }, {}) | |
| return Object.values(latest) | |
| .sort((a, b) => b.lastOpen - a.lastOpen) | |
| .slice(0, MAX_FRECENCY_ENTRIES) | |
| } | |
| function calculateFrecency(entry?: { frequency: number; lastOpen: number }) { | |
| if (!entry) return 0 | |
| return entry.frequency / (1 + (Date.now() - entry.lastOpen) / 86400000) | |
| } | |
| export const { use: useFrecency, provider: FrecencyProvider } = createSimpleContext({ | |
| name: "Frecency", | |
| init: () => { | |
| const paths = useTuiPaths() | |
| const frecencyPath = path.join(paths.state, "frecency.jsonl") | |
| onMount(async () => { | |
| const lines = parseFrecency(await readText(frecencyPath).catch(() => "")) | |
| setStore( | |
| "data", | |
| Object.fromEntries( | |
| lines.map((entry) => [entry.path, { frequency: entry.frequency, lastOpen: entry.lastOpen }]), | |
| ), | |
| ) | |
| if (lines.length > 0) | |
| writeText(frecencyPath, lines.map((entry) => JSON.stringify(entry)).join("\n") + "\n").catch(() => {}) | |
| }) | |
| const [store, setStore] = createStore({ data: {} as Record<string, { frequency: number; lastOpen: number }> }) | |
| function updateFrecency(filePath: string) { | |
| const absolutePath = path.resolve(paths.cwd, filePath) | |
| const newEntry = { frequency: (store.data[absolutePath]?.frequency || 0) + 1, lastOpen: Date.now() } | |
| setStore("data", absolutePath, newEntry) | |
| appendText(frecencyPath, JSON.stringify({ path: absolutePath, ...newEntry }) + "\n").catch(() => {}) | |
| if (Object.keys(store.data).length <= MAX_FRECENCY_ENTRIES) return | |
| const sorted = Object.entries(store.data) | |
| .sort(([, a], [, b]) => b.lastOpen - a.lastOpen) | |
| .slice(0, MAX_FRECENCY_ENTRIES) | |
| setStore("data", Object.fromEntries(sorted)) | |
| writeText( | |
| frecencyPath, | |
| sorted.map(([entryPath, entry]) => JSON.stringify({ path: entryPath, ...entry })).join("\n") + "\n", | |
| ).catch(() => {}) | |
| } | |
| return { | |
| getFrecency: (filePath: string) => calculateFrecency(store.data[path.resolve(paths.cwd, filePath)]), | |
| updateFrecency, | |
| data: () => store.data, | |
| } | |
| }, | |
| }) | |
Xet Storage Details
- Size:
- 2.91 kB
- Xet hash:
- 3e8d020e308bf9e430a5007665af32056fa6791f833206a4dca67942fac9c102
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.