prevelance data added
This commit is contained in:
768
apps/web/scripts/fill-training-dataset.ts
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768
apps/web/scripts/fill-training-dataset.ts
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@@ -0,0 +1,768 @@
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#!/usr/bin/env node
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/**
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* fill-training-dataset.ts
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*
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* Scans the existing dataset directory and downloads any missing images
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* to reach the target counts (200 per disease, 400 for healthy).
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*
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* Does NOT re-run prevalence queries — just fills gaps from image sources.
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* Each run scans the directory, reports deficits, then fills them.
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* Interrupt-safe: re-run to pick up where you left off.
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*
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* Usage: cd apps/web && npx tsx scripts/fill-training-dataset.ts
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*/
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import "dotenv/config";
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import { readFileSync, readdirSync, 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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import { sql } from "drizzle-orm";
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// ─── Config ─────────────────────────────────────────────────────────────────
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const DATASET_DIR = resolve(__dirname, "../data/dataset");
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const SEEN_CACHE_FILE = resolve(DATASET_DIR, ".fill-seen-urls.json");
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/** Target images per disease */
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const TARGET_PER_DISEASE = 200;
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/** Target images for the "healthy" class */
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const TARGET_HEALTHY = 400;
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/** Delay between DuckDuckGo search API calls (ms) */
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const SEARCH_DELAY = 1500;
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/** Max concurrent image downloads per disease */
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const CONCURRENT_DOWNLOADS = 30;
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/** Number of diseases to process in parallel */
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const DISEASE_CONCURRENCY = 5;
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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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/** Healthy class directory name */
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const HEALTHY_CLASS = "healthy";
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// ─── Types ──────────────────────────────────────────────────────────────────
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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 DiseaseInfo {
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id: string;
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name: string;
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plantId: string;
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have: number;
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needed: number;
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}
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// ─── Helpers ────────────────────────────────────────────────────────────────
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function sleep(ms: number): Promise<void> {
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return new Promise((resolve) => setTimeout(resolve, ms));
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}
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/** Count actual image files in a directory (matching img_* pattern). */
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function countImagesInDir(dir: string): number {
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if (!existsSync(dir)) return 0;
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try {
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const files = readdirSync(dir);
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return files.filter((f) => f.startsWith("img_")).length;
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} catch {
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return 0;
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}
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}
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/** Format bytes for display */
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function formatBytes(bytes: number): string {
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if (bytes < 1024) return `${bytes} B`;
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if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;
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return `${(bytes / (1024 * 1024)).toFixed(1)} MB`;
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}
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// ─── Seen-URLs Cache ──────────────────────────────────────────────────────
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/**
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* Load the per-disease seen-URLs cache from disk.
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* This prevents re-fetching the same URLs across runs.
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*/
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function loadSeenUrlsCache(): Record<string, string[]> {
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if (existsSync(SEEN_CACHE_FILE)) {
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try {
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return JSON.parse(readFileSync(SEEN_CACHE_FILE, "utf-8"));
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} catch {}
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}
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return {};
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}
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/**
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* Save the seen-URLs cache to disk.
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*/
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function saveSeenUrlsCache(cache: Record<string, string[]>): void {
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writeFileSync(SEEN_CACHE_FILE, JSON.stringify(cache, null, 2));
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}
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// ─── DuckDuckGo API ─────────────────────────────────────────────────────────
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async function getVqdToken(query: string): Promise<string> {
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const url = `https://duckduckgo.com/?q=${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=${encodeURIComponent(
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query,
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)}&vqd=${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(" ⚠ DDG 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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});
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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(
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filename,
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)}`;
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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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return { success, index: index++ };
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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 failed++;
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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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process.stdout.write(`\r Progress: ${downloaded}/${urls.length} (${failed} failed)`);
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}
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||||
}
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console.log();
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return { downloaded, failed, lastIndex: index };
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||||
}
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||||
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// ─── Query Building ─────────────────────────────────────────────────────────
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function buildSearchQueries(name: string, plant: string): string[] {
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return [`${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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||||
// ─── Fill Logic ─────────────────────────────────────────────────────────────
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/**
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* Try to collect up to `needed` images for a disease by hitting all three
|
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* sources in order. Returns how many new images were actually downloaded.
|
||||
*/
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||||
async function fillClass(
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diseaseId: string,
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queries: string[],
|
||||
needed: number,
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||||
classDir: string,
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||||
seenUrls: Set<string>,
|
||||
): Promise<number> {
|
||||
if (needed <= 0) return 0;
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||||
|
||||
mkdirSync(classDir, { recursive: true });
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||||
|
||||
const allUrls: string[] = [];
|
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|
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// ── Source 1: DuckDuckGo ───────────────────────────────────────────────
|
||||
if (allUrls.length < needed) {
|
||||
for (const query of queries) {
|
||||
if (allUrls.length >= needed) break;
|
||||
process.stdout.write(` DDG: "${query.substring(0, 40)}"... `);
|
||||
const result = await collectImagesDuckDuckGo(query, needed - allUrls.length, seenUrls);
|
||||
allUrls.push(...result.urls);
|
||||
console.log(`${result.urls.length} new`);
|
||||
if (result.exhausted) break;
|
||||
}
|
||||
}
|
||||
|
||||
// ── Source 2: iNaturalist ──────────────────────────────────────────────
|
||||
if (allUrls.length < needed) {
|
||||
process.stdout.write(` iNat: Searching... `);
|
||||
const result = await searchImagesInaturalist(queries[0], needed - allUrls.length, seenUrls);
|
||||
allUrls.push(...result.urls);
|
||||
console.log(`${result.urls.length} new`);
|
||||
}
|
||||
|
||||
// ── Source 3: Wikimedia Commons ────────────────────────────────────────
|
||||
if (allUrls.length < needed) {
|
||||
process.stdout.write(` Commons: Searching... `);
|
||||
const result = await searchImagesCommons(queries[0], needed - allUrls.length, seenUrls);
|
||||
allUrls.push(...result.urls);
|
||||
console.log(`${result.urls.length} new`);
|
||||
}
|
||||
|
||||
if (allUrls.length === 0) {
|
||||
console.log(` ✗ No new images found from any source`);
|
||||
return 0;
|
||||
}
|
||||
|
||||
console.log(` Downloading ${allUrls.length} images...`);
|
||||
const startIndex = countImagesInDir(classDir);
|
||||
const { downloaded, failed } = await downloadBatch(allUrls, classDir, startIndex);
|
||||
|
||||
const newTotal = countImagesInDir(classDir);
|
||||
const gained = newTotal - startIndex;
|
||||
console.log(
|
||||
` ${downloaded > 0 ? "✓" : "✗"} Downloaded ${downloaded}/${allUrls.length}` +
|
||||
` (${failed} failed, ${gained} new files)`,
|
||||
);
|
||||
|
||||
return gained;
|
||||
}
|
||||
|
||||
// ─── Directory Scanner ─────────────────────────────────────────────────────
|
||||
|
||||
interface ScanResult {
|
||||
/** Disease id → how many images currently on disk */
|
||||
diseaseCounts: Map<string, number>;
|
||||
/** How many healthy images on disk */
|
||||
healthyCount: number;
|
||||
}
|
||||
|
||||
function scanDataset(): ScanResult {
|
||||
const diseaseCounts = new Map<string, number>();
|
||||
let healthyCount = 0;
|
||||
|
||||
if (!existsSync(DATASET_DIR)) {
|
||||
return { diseaseCounts, healthyCount: 0 };
|
||||
}
|
||||
|
||||
const entries = readdirSync(DATASET_DIR, { withFileTypes: true });
|
||||
|
||||
for (const entry of entries) {
|
||||
if (!entry.isDirectory()) continue;
|
||||
if (entry.name.startsWith(".")) continue;
|
||||
|
||||
if (entry.name === HEALTHY_CLASS) {
|
||||
healthyCount = countImagesInDir(resolve(DATASET_DIR, entry.name));
|
||||
} else {
|
||||
const count = countImagesInDir(resolve(DATASET_DIR, entry.name));
|
||||
if (count > 0) {
|
||||
diseaseCounts.set(entry.name, count);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return { diseaseCounts, healthyCount };
|
||||
}
|
||||
|
||||
// ─── Main ───────────────────────────────────────────────────────────────────
|
||||
|
||||
async function main() {
|
||||
console.log("=".repeat(60));
|
||||
console.log("TRAINING DATASET FILL — Gap-filling download");
|
||||
console.log("=".repeat(60));
|
||||
|
||||
// Ensure dataset directory exists
|
||||
mkdirSync(DATASET_DIR, { recursive: true });
|
||||
|
||||
// ── Step 1: Scan what we already have ────────────────────────────────────
|
||||
console.log("\nScanning existing dataset...");
|
||||
const { diseaseCounts, healthyCount } = scanDataset();
|
||||
console.log(` Found ${diseaseCounts.size} disease directories, ${healthyCount} healthy images`);
|
||||
|
||||
// ── Step 2: Load disease info from DB ────────────────────────────────────
|
||||
console.log("\nLoading disease info from database...");
|
||||
const db = getDb();
|
||||
|
||||
const allDiseases = await db
|
||||
.select({
|
||||
id: diseases.id,
|
||||
plantId: diseases.plantId,
|
||||
name: diseases.name,
|
||||
})
|
||||
.from(diseases);
|
||||
|
||||
// Build a deduplicated map: disease id → first disease info found
|
||||
const diseaseInfo = new Map<string, { name: string; plantId: string }>();
|
||||
for (const d of allDiseases) {
|
||||
if (!diseaseInfo.has(d.id)) {
|
||||
diseaseInfo.set(d.id, { name: d.name, plantId: d.plantId });
|
||||
}
|
||||
}
|
||||
console.log(` Loaded ${diseaseInfo.size} unique diseases from DB`);
|
||||
|
||||
// ── Step 3: Build deficit list ──────────────────────────────────────────
|
||||
const deficits: DiseaseInfo[] = [];
|
||||
|
||||
for (const [id, info] of diseaseInfo) {
|
||||
const have = diseaseCounts.get(id) ?? 0;
|
||||
const needed = TARGET_PER_DISEASE - have;
|
||||
if (needed > 0) {
|
||||
deficits.push({ id, name: info.name, plantId: info.plantId, have, needed });
|
||||
}
|
||||
}
|
||||
|
||||
// Sort by deficit size (largest first) so we prioritize the neediest diseases
|
||||
deficits.sort((a, b) => b.needed - a.needed);
|
||||
|
||||
const healthyDeficit = TARGET_HEALTHY - healthyCount;
|
||||
|
||||
console.log(`\n${"=".repeat(60)}`);
|
||||
console.log("DEFICIT REPORT");
|
||||
console.log(`${"=".repeat(60)}`);
|
||||
console.log(` Diseases needing images: ${deficits.length}/${diseaseInfo.size}`);
|
||||
console.log(` Total images missing: ${deficits.reduce((s, d) => s + d.needed, 0)}`);
|
||||
console.log(` Healthy deficit: ${Math.max(0, healthyDeficit)}`);
|
||||
console.log(`${"=".repeat(60)}`);
|
||||
|
||||
if (deficits.length === 0 && healthyDeficit <= 0) {
|
||||
console.log("\n ✓ Nothing to do — all targets met!\n");
|
||||
await closeDb();
|
||||
return;
|
||||
}
|
||||
|
||||
// ── Step 4: Load seen-URLs cache ────────────────────────────────────────
|
||||
const seenUrlsCache = loadSeenUrlsCache();
|
||||
let totalDownloaded = 0;
|
||||
let totalFailed = 0;
|
||||
const startTime = Date.now();
|
||||
|
||||
// ── Step 5: Fill disease deficits ───────────────────────────────────────
|
||||
if (deficits.length > 0) {
|
||||
console.log("\n" + "─".repeat(60));
|
||||
console.log(`FILLING ${deficits.length} DISEASES (target: ${TARGET_PER_DISEASE} each)`);
|
||||
console.log("─".repeat(60));
|
||||
|
||||
// Process in parallel batches
|
||||
for (let i = 0; i < deficits.length; i += DISEASE_CONCURRENCY) {
|
||||
const batch = deficits.slice(i, i + DISEASE_CONCURRENCY);
|
||||
const batchNum = Math.floor(i / DISEASE_CONCURRENCY) + 1;
|
||||
const totalBatches = Math.ceil(deficits.length / DISEASE_CONCURRENCY);
|
||||
|
||||
console.log(`\n[Batch ${batchNum}/${totalBatches}] Processing ${batch.length} diseases...`);
|
||||
|
||||
await Promise.all(
|
||||
batch.map(async (d) => {
|
||||
const classDir = resolve(DATASET_DIR, d.id);
|
||||
const queries = buildSearchQueries(d.name, d.plantId);
|
||||
const seen = new Set<string>(seenUrlsCache[d.id] ?? []);
|
||||
|
||||
console.log(
|
||||
` [${d.id}] have ${d.have}, need ${d.needed} more` + ` (${d.name} / ${d.plantId})`,
|
||||
);
|
||||
|
||||
const gained = await fillClass(d.id, queries, d.needed, classDir, seen);
|
||||
|
||||
// Update seen-URLs cache for this disease
|
||||
seenUrlsCache[d.id] = Array.from(seen);
|
||||
saveSeenUrlsCache(seenUrlsCache);
|
||||
|
||||
totalDownloaded += gained;
|
||||
}),
|
||||
);
|
||||
|
||||
// Save seen cache after every batch
|
||||
saveSeenUrlsCache(seenUrlsCache);
|
||||
|
||||
const elapsed = Math.round((Date.now() - startTime) / 1000);
|
||||
console.log(
|
||||
` [Batch ${batchNum}/${totalBatches}] checkpoint — ` +
|
||||
`${totalDownloaded} downloaded so far (${elapsed}s elapsed)`,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// ── Step 6: Fill healthy deficit ────────────────────────────────────────
|
||||
if (healthyDeficit > 0) {
|
||||
console.log("\n" + "─".repeat(60));
|
||||
console.log(`FILLING HEALTHY CLASS (target: ${TARGET_HEALTHY})`);
|
||||
console.log("─".repeat(60));
|
||||
|
||||
const healthyDir = resolve(DATASET_DIR, HEALTHY_CLASS);
|
||||
mkdirSync(healthyDir, { recursive: true });
|
||||
|
||||
// Collect all unique plants from the disease info
|
||||
const allPlants = [...new Set(diseaseInfo.values())].map((d) => d.plantId);
|
||||
const allHealthyQueries: string[] = [];
|
||||
for (const plant of allPlants) {
|
||||
allHealthyQueries.push(...buildHealthyQueries(plant));
|
||||
}
|
||||
|
||||
const healthySeen = new Set<string>(seenUrlsCache[HEALTHY_CLASS] ?? []);
|
||||
const healthyNeeded = TARGET_HEALTHY - countImagesInDir(healthyDir);
|
||||
const allUrls: string[] = [];
|
||||
|
||||
// Try each source with up to 20 healthy queries
|
||||
const sources = [
|
||||
{ name: "DDG", collector: collectImagesDuckDuckGo },
|
||||
{ name: "iNat", collector: searchImagesInaturalist },
|
||||
{ name: "Commons", collector: searchImagesCommons },
|
||||
] as const;
|
||||
|
||||
for (const source of sources) {
|
||||
if (allUrls.length >= healthyNeeded) break;
|
||||
console.log(`\n Source: ${source.name}`);
|
||||
|
||||
for (const query of allHealthyQueries.slice(0, 20)) {
|
||||
if (allUrls.length >= healthyNeeded) break;
|
||||
|
||||
process.stdout.write(` "${query}"... `);
|
||||
const result = await source.collector(query, healthyNeeded - allUrls.length, healthySeen);
|
||||
allUrls.push(...result.urls);
|
||||
console.log(`${result.urls.length} new`);
|
||||
}
|
||||
}
|
||||
|
||||
if (allUrls.length > 0) {
|
||||
console.log(`\n Downloading ${allUrls.length} healthy images...`);
|
||||
const startIdx = countImagesInDir(healthyDir);
|
||||
const { downloaded, failed } = await downloadBatch(allUrls, healthyDir, startIdx);
|
||||
|
||||
const newTotal = countImagesInDir(healthyDir);
|
||||
const gained = newTotal - healthyCount;
|
||||
totalDownloaded += gained;
|
||||
totalFailed += failed;
|
||||
|
||||
console.log(
|
||||
` ${downloaded > 0 ? "✓" : "✗"} Got ${downloaded} images.` +
|
||||
` Total healthy: ${newTotal}/${TARGET_HEALTHY} (${gained} new)`,
|
||||
);
|
||||
} else {
|
||||
console.log(`\n ✗ No healthy images found`);
|
||||
}
|
||||
|
||||
// Update seen-URLs cache
|
||||
seenUrlsCache[HEALTHY_CLASS] = Array.from(healthySeen);
|
||||
saveSeenUrlsCache(seenUrlsCache);
|
||||
}
|
||||
|
||||
// ── Summary ──────────────────────────────────────────────────────────────
|
||||
const elapsed = Math.round((Date.now() - startTime) / 1000);
|
||||
const mins = Math.floor(elapsed / 60);
|
||||
const hrs = Math.floor(mins / 60);
|
||||
|
||||
// Final scan
|
||||
const finalScan = scanDataset();
|
||||
const totalHave = [...finalScan.diseaseCounts.values()].reduce((s, c) => s + c, 0);
|
||||
const atTarget = [...finalScan.diseaseCounts.values()].filter(
|
||||
(c) => c >= TARGET_PER_DISEASE,
|
||||
).length;
|
||||
|
||||
console.log("\n" + "=".repeat(60));
|
||||
console.log(" ✅ FILL COMPLETE");
|
||||
console.log("=".repeat(60));
|
||||
console.log(` Time: ${hrs}h ${mins % 60}m`);
|
||||
console.log(` Diseases at target: ${atTarget}/${diseaseInfo.size}`);
|
||||
console.log(` Total images: ${totalHave}`);
|
||||
console.log(` Healthy images: ${finalScan.healthyCount}/${TARGET_HEALTHY}`);
|
||||
console.log(` New downloads: ${totalDownloaded}`);
|
||||
console.log(` Dataset dir: ${DATASET_DIR}/`);
|
||||
|
||||
await closeDb();
|
||||
console.log("=".repeat(60));
|
||||
}
|
||||
|
||||
main().catch((err) => {
|
||||
console.error("\nFatal error:", err);
|
||||
process.exit(1);
|
||||
});
|
||||
Reference in New Issue
Block a user