787 lines
25 KiB
JavaScript
787 lines
25 KiB
JavaScript
#!/usr/bin/env node
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/**
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* scrape-training-dataset.ts
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*
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* Collects a training dataset from DuckDuckGo, iNaturalist, and Wikimedia Commons.
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*
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* Targets (tiered by plant type):
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* - Core plants (houseplants + common garden): 100 images per disease
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* - Full set (all 11,498 DB diseases): 10 images per disease
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* - Healthy: 400 images
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*
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* Sources (all free, no API keys):
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* 1. DB image_url — existing images already found
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* 2. DuckDuckGo — general web image search
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* 3. iNaturalist — real-world plant observation photos
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* 4. Wikimedia Commons — curated scientific/educational images
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*
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* Usage: cd apps/web && npx tsx scripts/scrape-training-dataset.ts
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* Progress: data/dataset/.progress.json — interrupt and resume safely.
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*/
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import "dotenv/config";
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import { readFileSync, writeFileSync, existsSync, mkdirSync } from "fs";
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import { resolve, extname } from "path";
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// Load .env.development for DB creds
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const envPath = resolve(__dirname, "../.env.development");
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try {
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const env = readFileSync(envPath, "utf-8");
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for (const line of env.split("\n")) {
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const trimmed = line.trim();
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if (trimmed && !trimmed.startsWith("#")) {
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const eqIdx = trimmed.indexOf("=");
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if (eqIdx > 0) {
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const key = trimmed.slice(0, eqIdx).trim();
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const val = trimmed.slice(eqIdx + 1).trim();
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if (!process.env[key]) process.env[key] = val;
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}
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}
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}
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} catch {}
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import { getDb, closeDb } from "@/lib/db/index";
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import { diseases } from "@/lib/db/schema";
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// ─── Config ─────────────────────────────────────────────────────────────────
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const DATASET_DIR = resolve(__dirname, "../data/dataset");
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const PROGRESS_FILE = resolve(DATASET_DIR, ".progress.json");
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/** Target images per disease for CORE plants */
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const TARGET_CORE = 100;
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/** Target images per disease for the FULL set */
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const TARGET_FULL = 10;
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/** Target images for the "healthy" class */
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const TARGET_HEALTHY = 400;
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/** Core plants that get higher image targets */
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const CORE_PLANTS = new Set([
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// Houseplants
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"monstera",
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"pothos",
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"snake-plant",
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"peace-lily",
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"orchid",
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"succulent",
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"fiddle-leaf-fig",
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"aloe-vera",
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"cactus",
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"fern",
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// Garden plants
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"tomato",
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"basil",
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"rose",
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"pepper",
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"strawberry",
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"cucumber",
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"squash",
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"lettuce",
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"spinach",
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"cabbage",
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"lavender",
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"mint",
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"jasmine",
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"sunflower",
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"daisy",
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"zucchini",
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"bean",
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"eggplant",
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"chili",
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// General disease patterns
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"general",
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]);
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/** Delay between DuckDuckGo search API calls (ms) */
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const SEARCH_DELAY = 1500;
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/** Delay between image downloads (ms) */
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const DOWNLOAD_DELAY = 100;
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/** Max concurrent downloads */
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const CONCURRENT_DOWNLOADS = 10;
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/** Minimum image size in bytes to accept */
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const MIN_IMAGE_SIZE = 10_000; // 10KB
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/** Maximum image size in bytes */
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const MAX_IMAGE_SIZE = 10 * 1024 * 1024; // 10MB
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/** Allowed file extensions */
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const ALLOWED_EXTENSIONS = [".jpg", ".jpeg", ".png", ".webp"];
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/** User agent for requests */
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const UA =
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"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36";
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/** Class ID for healthy plants */
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const HEALTHY_CLASS = "healthy";
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// ─── Types ──────────────────────────────────────────────────────────────────
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interface DbDisease {
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id: string;
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plantId: string;
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name: string;
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imageUrl: string | null;
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}
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interface DuckDuckGoImageResult {
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image: string;
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title: string;
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url: string;
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thumbnail: string;
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height: number;
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width: number;
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}
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interface ClassProgress {
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count: number;
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downloaded: number;
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failed: number;
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seenUrls: string[];
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exhausted: boolean;
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}
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interface Progress {
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lastUpdated: string;
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classes: Record<string, ClassProgress>;
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}
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// ─── DB Loading ──────────────────────────────────────────────────────────────
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/**
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* Load all diseases from the database with their existing image URLs.
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*/
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async function loadDiseasesFromDb(): Promise<DbDisease[]> {
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const db = getDb();
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const rows = await db
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.select({
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id: diseases.id,
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plantId: diseases.plantId,
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name: diseases.name,
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imageUrl: diseases.imageUrl,
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})
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.from(diseases)
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.orderBy(diseases.id);
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return rows;
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}
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// ─── DuckDuckGo API ─────────────────────────────────────────────────────────
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async function getVqdToken(query: string): Promise<string> {
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const url = `https://duckduckgo.com/?q=${encodeURIComponent(query)}&t=h_&iax=images&ia=images`;
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const res = await fetch(url, {
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headers: { "User-Agent": UA, Accept: "text/html" },
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signal: AbortSignal.timeout(15_000),
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});
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if (!res.ok) throw new Error(`Failed to get vqd token: ${res.status}`);
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const html = await res.text();
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const match = html.match(/vqd['"]?\s*[:=]\s*['"]([a-f0-9-]+)['"]/);
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if (!match) throw new Error(`Could not extract vqd token for "${query}"`);
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return match[1];
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}
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async function searchImagesDuckDuckGo(
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query: string,
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vqd: string,
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page: number,
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): Promise<DuckDuckGoImageResult[]> {
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const url = `https://duckduckgo.com/i.js?q=${encodeURIComponent(query)}&vqd=${vqd}&o=json&p=${page}&f=,,,`;
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const res = await fetch(url, {
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headers: {
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"User-Agent": UA,
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Accept: "application/json",
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Referer: `https://duckduckgo.com/?q=${encodeURIComponent(query)}&t=h_&iax=images&ia=images`,
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},
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signal: AbortSignal.timeout(15_000),
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});
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if (!res.ok) {
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if (res.status === 429) {
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console.warn(" ⚠ Rate limited (429). Waiting 10s...");
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await sleep(10_000);
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return searchImagesDuckDuckGo(query, vqd, page);
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}
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if (res.status === 403) return [];
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throw new Error(`DuckDuckGo search failed: ${res.status}`);
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}
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const data = (await res.json()) as { results: DuckDuckGoImageResult[] };
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return data.results ?? [];
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}
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async function collectImagesDuckDuckGo(
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query: string,
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target: number,
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seenUrls: Set<string>,
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): Promise<{ urls: string[]; exhausted: boolean }> {
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const results: string[] = [];
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let page = 1;
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let exhausted = false;
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let consecutiveEmpty = 0;
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let vqd: string;
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try {
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vqd = await getVqdToken(query);
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} catch (err) {
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console.warn(` ⚠ DDG token failed: ${err instanceof Error ? err.message : "unknown"}`);
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return { urls: [], exhausted: true };
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}
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const MAX_PAGES = 5;
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let lowNoveltyCount = 0;
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while (results.length < target && page <= MAX_PAGES) {
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await sleep(SEARCH_DELAY);
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let pageResults: DuckDuckGoImageResult[];
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try {
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pageResults = await searchImagesDuckDuckGo(query, vqd, page);
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} catch (err) {
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console.warn(` ⚠ DDG error: ${err instanceof Error ? err.message : "unknown"}`);
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break;
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}
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if (!pageResults || pageResults.length === 0) {
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consecutiveEmpty++;
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if (consecutiveEmpty >= 3) {
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exhausted = true;
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break;
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}
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page++;
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continue;
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}
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consecutiveEmpty = 0;
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let newCount = 0;
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for (const r of pageResults) {
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if (results.length >= target) break;
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const imgUrl = r.image || r.url;
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if (!imgUrl || typeof imgUrl !== "string") continue;
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if (seenUrls.has(imgUrl)) continue;
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try {
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new URL(imgUrl);
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} catch {
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continue;
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}
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seenUrls.add(imgUrl);
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results.push(imgUrl);
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newCount++;
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}
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const newRatio = newCount / pageResults.length;
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if (newRatio < 0.05) {
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lowNoveltyCount++;
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if (lowNoveltyCount >= 2) break;
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} else {
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lowNoveltyCount = 0;
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}
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if (results.length < target) page++;
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}
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return { urls: results.slice(0, target), exhausted };
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}
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// ─── iNaturalist API ─────────────────────────────────────────────────────────
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async function searchImagesInaturalist(
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query: string,
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target: number,
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seenUrls: Set<string>,
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): Promise<{ urls: string[]; exhausted: boolean }> {
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const results: string[] = [];
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const perPage = Math.min(target, 200);
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const apiUrl =
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`https://api.inaturalist.org/v1/observations` +
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`?q=${encodeURIComponent(query)}` +
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`&photos_only=true` +
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`&quality_grade=research` +
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`&per_page=${perPage}` +
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`&order_by=observed_on&order=desc`;
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try {
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const res = await fetch(apiUrl, {
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headers: { "User-Agent": UA, Accept: "application/json" },
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signal: AbortSignal.timeout(15_000),
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});
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if (!res.ok) return { urls: [], exhausted: false };
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const data = (await res.json()) as {
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results: Array<{ photos: Array<{ url: string }> }>;
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};
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for (const obs of data.results ?? []) {
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if (results.length >= target) break;
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for (const photo of obs.photos ?? []) {
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if (results.length >= target) break;
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const url = photo.url;
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if (!url || seenUrls.has(url)) continue;
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const fullUrl = url.replace("/medium.", "/original.");
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seenUrls.add(fullUrl);
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results.push(fullUrl);
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}
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}
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return { urls: results, exhausted: results.length < target };
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} catch {
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return { urls: results, exhausted: false };
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}
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}
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// ─── Wikimedia Commons API ──────────────────────────────────────────────────
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async function searchImagesCommons(
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query: string,
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target: number,
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seenUrls: Set<string>,
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): Promise<{ urls: string[]; exhausted: boolean }> {
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const results: string[] = [];
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let sroffset = 0;
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while (results.length < target) {
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const params = new URLSearchParams({
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action: "query",
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list: "search",
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srsearch: query,
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srnamespace: "6",
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srlimit: "50",
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sroffset: String(sroffset),
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format: "json",
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origin: "*", // server-side API call
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});
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const url = `https://commons.wikimedia.org/w/api.php?${params}`;
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try {
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const res = await fetch(url, {
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headers: { "User-Agent": UA },
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signal: AbortSignal.timeout(10_000),
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});
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if (!res.ok) break;
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const data = (await res.json()) as {
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query?: { search?: Array<{ title: string }> };
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continue?: { sroffset?: number };
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};
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const hits = data.query?.search ?? [];
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if (hits.length === 0) break;
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for (const hit of hits) {
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if (results.length >= target) break;
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const filename = hit.title.replace(/^File:/, "");
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const imgUrl = `https://commons.wikimedia.org/wiki/Special:FilePath/${encodeURIComponent(filename)}`;
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if (seenUrls.has(imgUrl)) continue;
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seenUrls.add(imgUrl);
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results.push(imgUrl);
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}
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sroffset = data.continue?.sroffset ?? sroffset + hits.length;
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} catch {
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break;
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}
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}
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return { urls: results, exhausted: results.length < target };
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}
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// ─── Image Download ─────────────────────────────────────────────────────────
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async function downloadImage(url: string, destPath: string): Promise<boolean> {
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try {
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const res = await fetch(url, {
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headers: { "User-Agent": UA, Accept: "image/webp,image/png,image/jpeg,*/*" },
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signal: AbortSignal.timeout(15_000),
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});
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if (!res.ok) return false;
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const contentType = res.headers.get("content-type") || "";
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if (contentType.includes("text/html")) return false;
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const buffer = Buffer.from(await res.arrayBuffer());
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if (buffer.length < MIN_IMAGE_SIZE) return false;
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if (buffer.length > MAX_IMAGE_SIZE) return false;
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let ext = extname(new URL(url).pathname).toLowerCase();
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if (!ALLOWED_EXTENSIONS.includes(ext)) {
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if (contentType.includes("jpeg") || contentType.includes("jpg")) ext = ".jpg";
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else if (contentType.includes("png")) ext = ".png";
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else if (contentType.includes("webp")) ext = ".webp";
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else ext = ".jpg";
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}
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const filePath = destPath.replace(/\.\w+$/, ext);
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writeFileSync(filePath, buffer);
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return true;
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} catch {
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return false;
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}
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}
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async function downloadBatch(
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urls: string[],
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classDir: string,
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startIndex: number,
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): Promise<{ downloaded: number; failed: number; lastIndex: number }> {
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let downloaded = 0;
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let failed = 0;
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let index = startIndex;
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for (let i = 0; i < urls.length; i += CONCURRENT_DOWNLOADS) {
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const chunk = urls.slice(i, i + CONCURRENT_DOWNLOADS);
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const results = await Promise.all(
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chunk.map(async (url) => {
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const paddedIndex = String(index).padStart(4, "0");
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const destPath = resolve(classDir, `img_${paddedIndex}.jpg`);
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const success = await downloadImage(url, destPath);
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await sleep(DOWNLOAD_DELAY);
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return { success, index: index++, url: url.substring(0, 50) };
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}),
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);
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for (const r of results) {
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if (r.success) downloaded++;
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else {
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failed++;
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if (failed % 20 === 1) console.log(` ⚠ Failed: ${r.url}...`);
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}
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}
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const total = downloaded + failed;
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if (total % 30 === 0 || total === urls.length) {
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console.log(` Progress: ${downloaded}/${urls.length} (${failed} failed)`);
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}
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}
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return { downloaded, failed, lastIndex: index };
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}
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// ─── Progress Tracking ──────────────────────────────────────────────────────
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function loadProgress(): Progress {
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if (!existsSync(PROGRESS_FILE)) {
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return { lastUpdated: new Date().toISOString(), classes: {} };
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}
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return JSON.parse(readFileSync(PROGRESS_FILE, "utf-8")) as Progress;
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}
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function saveProgress(progress: Progress): void {
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progress.lastUpdated = new Date().toISOString();
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writeFileSync(PROGRESS_FILE, JSON.stringify(progress, null, 2));
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}
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function getClassProgress(progress: Progress, classId: string): ClassProgress {
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if (!progress.classes[classId]) {
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progress.classes[classId] = {
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count: 0,
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downloaded: 0,
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failed: 0,
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seenUrls: [],
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exhausted: false,
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};
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}
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return progress.classes[classId];
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}
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// ─── Query Building ─────────────────────────────────────────────────────────
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function buildSearchQueries(disease: DbDisease): string[] {
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const name = disease.name || disease.id.replace(/-/g, " ");
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const plant = disease.plantId.replace(/-/g, " ");
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// Every query keeps the disease NAME to avoid noisy labels
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return [`${name} ${plant} leaf disease`, `${plant} ${name} symptoms`, `${name} ${plant}`];
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}
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function buildHealthyQueries(plant: string): string[] {
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const name = plant.replace(/-/g, " ");
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return [
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`healthy ${name} leaf`,
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`${name} leaf closeup`,
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`healthy ${name} plant`,
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`${name} foliage`,
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];
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}
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|
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// ─── Dataset Collection ─────────────────────────────────────────────────────
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|
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async function collectClassImages(
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classId: string,
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queries: string[],
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target: number,
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progress: Progress,
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classDir: string,
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existingUrls: string[] = [],
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fastMode = false, // Skip slow DuckDuckGo, use iNat + Commons only
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): Promise<void> {
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const cp = getClassProgress(progress, classId);
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const seenUrls = new Set(cp.seenUrls);
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|
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if (cp.count >= target) {
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console.log(` ✓ Already have ${cp.count}/${target}`);
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return;
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}
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|
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if (cp.exhausted) {
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console.log(` ✓ Exhausted (${cp.count}/${target})`);
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return;
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}
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mkdirSync(classDir, { recursive: true });
|
|
|
|
const allUrls: string[] = [];
|
|
let exhausted = false;
|
|
|
|
// ── Source 0: Existing DB URLs ──────────────────────────────────────────
|
|
const freshDbUrls = existingUrls.filter((u) => !seenUrls.has(u));
|
|
if (freshDbUrls.length > 0) {
|
|
console.log(` DB: ${freshDbUrls.length} existing URLs`);
|
|
for (const url of freshDbUrls) {
|
|
if (allUrls.length >= target) break;
|
|
seenUrls.add(url);
|
|
allUrls.push(url);
|
|
}
|
|
}
|
|
|
|
// ── Source 1: DuckDuckGo ──────────────────────────────────────────────
|
|
// Skip DDG in fast mode (full set — DDG is slowest source)
|
|
if (!fastMode && allUrls.length < target) {
|
|
for (const query of queries) {
|
|
if (allUrls.length >= target) break;
|
|
process.stdout.write(` DDG: "${query.substring(0, 40)}"... `);
|
|
const result = await collectImagesDuckDuckGo(query, target - allUrls.length, seenUrls);
|
|
allUrls.push(...result.urls);
|
|
if (result.exhausted) exhausted = true;
|
|
console.log(`${result.urls.length} new`);
|
|
if (allUrls.length >= target) break;
|
|
}
|
|
}
|
|
|
|
// ── Source 2: iNaturalist ──────────────────────────────────────────────
|
|
if (allUrls.length < target) {
|
|
const primaryQuery = queries[0];
|
|
console.log(` iNat: Searching...`);
|
|
const result = await searchImagesInaturalist(primaryQuery, target - allUrls.length, seenUrls);
|
|
allUrls.push(...result.urls);
|
|
if (result.exhausted) exhausted = true;
|
|
console.log(` iNat: ${result.urls.length} images`);
|
|
}
|
|
|
|
// ── Source 3: Wikimedia Commons ────────────────────────────────────────
|
|
if (allUrls.length < target) {
|
|
const primaryQuery = queries[0];
|
|
console.log(` Commons: Searching...`);
|
|
const result = await searchImagesCommons(primaryQuery, target - allUrls.length, seenUrls);
|
|
allUrls.push(...result.urls);
|
|
if (result.exhausted) exhausted = true;
|
|
console.log(` Commons: ${result.urls.length} images`);
|
|
}
|
|
|
|
if (allUrls.length === 0) {
|
|
cp.exhausted = exhausted;
|
|
saveProgress(progress);
|
|
console.log(` ✗ No images found`);
|
|
return;
|
|
}
|
|
|
|
// Save progress with seen URLs BEFORE downloading
|
|
cp.seenUrls = Array.from(seenUrls);
|
|
cp.exhausted = exhausted;
|
|
saveProgress(progress);
|
|
|
|
console.log(` Downloading ${allUrls.length} images...`);
|
|
|
|
const { downloaded, failed } = await downloadBatch(allUrls, classDir, cp.count);
|
|
|
|
cp.count += downloaded;
|
|
cp.downloaded += downloaded;
|
|
cp.failed += failed;
|
|
|
|
saveProgress(progress);
|
|
|
|
const pct = Math.round((cp.count / target) * 100);
|
|
console.log(
|
|
` ${downloaded > 0 ? "✓" : "✗"} Got ${downloaded}/${allUrls.length} (${failed} failed). Total: ${cp.count}/${target} (${pct}%)`,
|
|
);
|
|
}
|
|
|
|
// ─── Main ───────────────────────────────────────────────────────────────────
|
|
|
|
async function main() {
|
|
console.log("=".repeat(60));
|
|
console.log("PLANT DISEASE DATASET COLLECTOR — FULL DB");
|
|
console.log("=".repeat(60));
|
|
|
|
// Load diseases from DB
|
|
console.log("\nLoading diseases from database...");
|
|
const dbDiseases = await loadDiseasesFromDb();
|
|
console.log(` ${dbDiseases.length} diseases loaded`);
|
|
|
|
const coreDiseases = dbDiseases.filter((d) => CORE_PLANTS.has(d.plantId));
|
|
const fullDiseases = dbDiseases.filter((d) => !CORE_PLANTS.has(d.plantId));
|
|
console.log(` Core plants: ${coreDiseases.length} diseases (target: ${TARGET_CORE})`);
|
|
console.log(` Full set: ${fullDiseases.length} diseases (target: ${TARGET_FULL})`);
|
|
|
|
// Load progress
|
|
mkdirSync(DATASET_DIR, { recursive: true });
|
|
const progress = loadProgress();
|
|
|
|
const startTime = Date.now();
|
|
|
|
// ── Phase 1: Core set ──────────────────────────────────────────────────
|
|
|
|
console.log("\n" + "─".repeat(60));
|
|
console.log("PHASE 1: Core Diseases (100 images each)");
|
|
console.log("─".repeat(60));
|
|
|
|
for (let i = 0; i < coreDiseases.length; i++) {
|
|
const d = coreDiseases[i];
|
|
const classDir = resolve(DATASET_DIR, d.id);
|
|
const queries = buildSearchQueries(d);
|
|
const existingUrls = d.imageUrl ? [d.imageUrl] : [];
|
|
|
|
const pct = Math.round((i / coreDiseases.length) * 100);
|
|
console.log(`\n[${i + 1}/${coreDiseases.length}] (${pct}%) ${d.name || d.id} (${d.plantId})`);
|
|
|
|
await collectClassImages(d.id, queries, TARGET_CORE, progress, classDir, existingUrls);
|
|
}
|
|
|
|
// ── Phase 2: Full set ──────────────────────────────────────────────────
|
|
|
|
console.log("\n" + "─".repeat(60));
|
|
console.log("PHASE 2: Full Disease Set (10 images each)");
|
|
console.log("─".repeat(60));
|
|
|
|
for (let i = 0; i < fullDiseases.length; i++) {
|
|
const d = fullDiseases[i];
|
|
const classDir = resolve(DATASET_DIR, d.id);
|
|
const queries = buildSearchQueries(d);
|
|
const existingUrls = d.imageUrl ? [d.imageUrl] : [];
|
|
|
|
const pct = Math.round((i / fullDiseases.length) * 100);
|
|
console.log(`\n[${i + 1}/${fullDiseases.length}] (${pct}%) ${d.id} (${d.plantId})`);
|
|
|
|
await collectClassImages(d.id, queries, TARGET_FULL, progress, classDir, existingUrls, true);
|
|
}
|
|
|
|
// ── Phase 3: Healthy class ──────────────────────────────────────────────
|
|
|
|
console.log("\n" + "─".repeat(60));
|
|
console.log("PHASE 3: Healthy Plant Images");
|
|
console.log("─".repeat(60));
|
|
|
|
const healthyDir = resolve(DATASET_DIR, HEALTHY_CLASS);
|
|
const healthyCp = getClassProgress(progress, HEALTHY_CLASS);
|
|
const healthySeen = new Set(healthyCp.seenUrls);
|
|
|
|
if (healthyCp.count >= TARGET_HEALTHY) {
|
|
console.log(`\n ✓ Already have ${healthyCp.count}/${TARGET_HEALTHY}`);
|
|
} else {
|
|
// Collect all unique plants
|
|
const allPlants = [...new Set(dbDiseases.map((d) => d.plantId))];
|
|
const allHealthyQueries: string[] = [];
|
|
for (const plant of allPlants) {
|
|
allHealthyQueries.push(...buildHealthyQueries(plant));
|
|
}
|
|
|
|
const healthySources = [
|
|
{ name: "DDG", collector: collectImagesDuckDuckGo },
|
|
{ name: "iNat", collector: searchImagesInaturalist },
|
|
{ name: "Commons", collector: searchImagesCommons },
|
|
] as const;
|
|
|
|
const totalHealthyUrls: string[] = [];
|
|
let anyRemaining = false;
|
|
|
|
for (const source of healthySources) {
|
|
if (totalHealthyUrls.length >= TARGET_HEALTHY) break;
|
|
console.log(`\n Source: ${source.name}`);
|
|
|
|
for (const query of allHealthyQueries.slice(0, 20)) {
|
|
if (totalHealthyUrls.length >= TARGET_HEALTHY) break;
|
|
|
|
process.stdout.write(` "${query}"... `);
|
|
const result = await source.collector(
|
|
query,
|
|
TARGET_HEALTHY - totalHealthyUrls.length,
|
|
healthySeen,
|
|
);
|
|
totalHealthyUrls.push(...result.urls);
|
|
if (!result.exhausted) anyRemaining = true;
|
|
console.log(`${result.urls.length} new`);
|
|
}
|
|
}
|
|
|
|
healthyCp.seenUrls = Array.from(healthySeen);
|
|
|
|
if (totalHealthyUrls.length > 0) {
|
|
healthyCp.exhausted = !anyRemaining;
|
|
saveProgress(progress);
|
|
|
|
console.log(`\n Downloading ${totalHealthyUrls.length} healthy images...`);
|
|
const { downloaded, failed } = await downloadBatch(
|
|
totalHealthyUrls,
|
|
healthyDir,
|
|
healthyCp.count,
|
|
);
|
|
|
|
healthyCp.count += downloaded;
|
|
healthyCp.downloaded += downloaded;
|
|
healthyCp.failed += failed;
|
|
|
|
const pct = Math.round((healthyCp.count / TARGET_HEALTHY) * 100);
|
|
console.log(
|
|
` Got ${downloaded} images. Total: ${healthyCp.count}/${TARGET_HEALTHY} (${pct}%)`,
|
|
);
|
|
} else {
|
|
console.log(` ✗ No healthy images found`);
|
|
}
|
|
|
|
saveProgress(progress);
|
|
}
|
|
|
|
// ── Summary ────────────────────────────────────────────────────────────────
|
|
|
|
const elapsed = Math.round((Date.now() - startTime) / 1000);
|
|
const mins = Math.floor(elapsed / 60);
|
|
const hrs = Math.floor(mins / 60);
|
|
|
|
let totalDownloaded = 0;
|
|
let totalFailed = 0;
|
|
for (const [, cp] of Object.entries(progress.classes)) {
|
|
totalDownloaded += cp.downloaded || 0;
|
|
totalFailed += cp.failed || 0;
|
|
}
|
|
|
|
console.log("\n" + "=".repeat(60));
|
|
console.log("COMPLETE");
|
|
console.log("=".repeat(60));
|
|
console.log(` Time: ${hrs}h ${mins % 60}m`);
|
|
console.log(` Downloaded: ${totalDownloaded} images`);
|
|
console.log(` Failed: ${totalFailed} images`);
|
|
console.log(` Dataset: ${DATASET_DIR}/`);
|
|
|
|
await closeDb();
|
|
console.log("=".repeat(60));
|
|
}
|
|
|
|
function sleep(ms: number): Promise<void> {
|
|
return new Promise((resolve) => setTimeout(resolve, ms));
|
|
}
|
|
|
|
main().catch((err) => {
|
|
console.error("Fatal error:", err);
|
|
process.exit(1);
|
|
});
|