769 lines
26 KiB
JavaScript
769 lines
26 KiB
JavaScript
#!/usr/bin/env node
|
|
/**
|
|
* fill-training-dataset.ts
|
|
*
|
|
* Scans the existing dataset directory and downloads any missing images
|
|
* to reach the target counts (200 per disease, 400 for healthy).
|
|
*
|
|
* Does NOT re-run prevalence queries — just fills gaps from image sources.
|
|
* Each run scans the directory, reports deficits, then fills them.
|
|
* Interrupt-safe: re-run to pick up where you left off.
|
|
*
|
|
* Usage: cd apps/web && npx tsx scripts/fill-training-dataset.ts
|
|
*/
|
|
|
|
import "dotenv/config";
|
|
import { readFileSync, readdirSync, writeFileSync, existsSync, mkdirSync } from "fs";
|
|
import { resolve, extname } from "path";
|
|
|
|
// Load .env.development for DB creds
|
|
const envPath = resolve(__dirname, "../.env.development");
|
|
try {
|
|
const env = readFileSync(envPath, "utf-8");
|
|
for (const line of env.split("\n")) {
|
|
const trimmed = line.trim();
|
|
if (trimmed && !trimmed.startsWith("#")) {
|
|
const eqIdx = trimmed.indexOf("=");
|
|
if (eqIdx > 0) {
|
|
const key = trimmed.slice(0, eqIdx).trim();
|
|
const val = trimmed.slice(eqIdx + 1).trim();
|
|
if (!process.env[key]) process.env[key] = val;
|
|
}
|
|
}
|
|
}
|
|
} catch {}
|
|
|
|
import { getDb, closeDb } from "@/lib/db/index";
|
|
import { diseases } from "@/lib/db/schema";
|
|
import { sql } from "drizzle-orm";
|
|
|
|
// ─── Config ─────────────────────────────────────────────────────────────────
|
|
|
|
const DATASET_DIR = resolve(__dirname, "../data/dataset");
|
|
const SEEN_CACHE_FILE = resolve(DATASET_DIR, ".fill-seen-urls.json");
|
|
|
|
/** Target images per disease */
|
|
const TARGET_PER_DISEASE = 200;
|
|
|
|
/** Target images for the "healthy" class */
|
|
const TARGET_HEALTHY = 400;
|
|
|
|
/** Delay between DuckDuckGo search API calls (ms) */
|
|
const SEARCH_DELAY = 1500;
|
|
|
|
/** Max concurrent image downloads per disease */
|
|
const CONCURRENT_DOWNLOADS = 30;
|
|
|
|
/** Number of diseases to process in parallel */
|
|
const DISEASE_CONCURRENCY = 5;
|
|
|
|
/** Minimum image size in bytes to accept */
|
|
const MIN_IMAGE_SIZE = 10_000; // 10KB
|
|
|
|
/** Maximum image size in bytes */
|
|
const MAX_IMAGE_SIZE = 10 * 1024 * 1024; // 10MB
|
|
|
|
/** Allowed file extensions */
|
|
const ALLOWED_EXTENSIONS = [".jpg", ".jpeg", ".png", ".webp"];
|
|
|
|
/** User agent for requests */
|
|
const UA =
|
|
"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";
|
|
|
|
/** Healthy class directory name */
|
|
const HEALTHY_CLASS = "healthy";
|
|
|
|
// ─── Types ──────────────────────────────────────────────────────────────────
|
|
|
|
interface DuckDuckGoImageResult {
|
|
image: string;
|
|
title: string;
|
|
url: string;
|
|
thumbnail: string;
|
|
height: number;
|
|
width: number;
|
|
}
|
|
|
|
interface DiseaseInfo {
|
|
id: string;
|
|
name: string;
|
|
plantId: string;
|
|
have: number;
|
|
needed: number;
|
|
}
|
|
|
|
// ─── Helpers ────────────────────────────────────────────────────────────────
|
|
|
|
function sleep(ms: number): Promise<void> {
|
|
return new Promise((resolve) => setTimeout(resolve, ms));
|
|
}
|
|
|
|
/** Count actual image files in a directory (matching img_* pattern). */
|
|
function countImagesInDir(dir: string): number {
|
|
if (!existsSync(dir)) return 0;
|
|
try {
|
|
const files = readdirSync(dir);
|
|
return files.filter((f) => f.startsWith("img_")).length;
|
|
} catch {
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
/** Format bytes for display */
|
|
function formatBytes(bytes: number): string {
|
|
if (bytes < 1024) return `${bytes} B`;
|
|
if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;
|
|
return `${(bytes / (1024 * 1024)).toFixed(1)} MB`;
|
|
}
|
|
|
|
// ─── Seen-URLs Cache ──────────────────────────────────────────────────────
|
|
|
|
/**
|
|
* Load the per-disease seen-URLs cache from disk.
|
|
* This prevents re-fetching the same URLs across runs.
|
|
*/
|
|
function loadSeenUrlsCache(): Record<string, string[]> {
|
|
if (existsSync(SEEN_CACHE_FILE)) {
|
|
try {
|
|
return JSON.parse(readFileSync(SEEN_CACHE_FILE, "utf-8"));
|
|
} catch {}
|
|
}
|
|
return {};
|
|
}
|
|
|
|
/**
|
|
* Save the seen-URLs cache to disk.
|
|
*/
|
|
function saveSeenUrlsCache(cache: Record<string, string[]>): void {
|
|
writeFileSync(SEEN_CACHE_FILE, JSON.stringify(cache, null, 2));
|
|
}
|
|
|
|
// ─── DuckDuckGo API ─────────────────────────────────────────────────────────
|
|
|
|
async function getVqdToken(query: string): Promise<string> {
|
|
const url = `https://duckduckgo.com/?q=${encodeURIComponent(query)}&t=h_&iax=images&ia=images`;
|
|
|
|
const res = await fetch(url, {
|
|
headers: { "User-Agent": UA, Accept: "text/html" },
|
|
signal: AbortSignal.timeout(15_000),
|
|
});
|
|
|
|
if (!res.ok) throw new Error(`Failed to get vqd token: ${res.status}`);
|
|
|
|
const html = await res.text();
|
|
const match = html.match(/vqd['"]?\s*[:=]\s*['"]([a-f0-9-]+)['"]/);
|
|
if (!match) throw new Error(`Could not extract vqd token for "${query}"`);
|
|
|
|
return match[1];
|
|
}
|
|
|
|
async function searchImagesDuckDuckGo(
|
|
query: string,
|
|
vqd: string,
|
|
page: number,
|
|
): Promise<DuckDuckGoImageResult[]> {
|
|
const url = `https://duckduckgo.com/i.js?q=${encodeURIComponent(
|
|
query,
|
|
)}&vqd=${vqd}&o=json&p=${page}&f=,,,`;
|
|
|
|
const res = await fetch(url, {
|
|
headers: {
|
|
"User-Agent": UA,
|
|
Accept: "application/json",
|
|
Referer: `https://duckduckgo.com/?q=${encodeURIComponent(query)}&t=h_&iax=images&ia=images`,
|
|
},
|
|
signal: AbortSignal.timeout(15_000),
|
|
});
|
|
|
|
if (!res.ok) {
|
|
if (res.status === 429) {
|
|
console.warn(" ⚠ DDG rate limited (429). Waiting 10s...");
|
|
await sleep(10_000);
|
|
return searchImagesDuckDuckGo(query, vqd, page);
|
|
}
|
|
if (res.status === 403) return [];
|
|
throw new Error(`DuckDuckGo search failed: ${res.status}`);
|
|
}
|
|
|
|
const data = (await res.json()) as { results: DuckDuckGoImageResult[] };
|
|
return data.results ?? [];
|
|
}
|
|
|
|
async function collectImagesDuckDuckGo(
|
|
query: string,
|
|
target: number,
|
|
seenUrls: Set<string>,
|
|
): Promise<{ urls: string[]; exhausted: boolean }> {
|
|
const results: string[] = [];
|
|
let page = 1;
|
|
let exhausted = false;
|
|
let consecutiveEmpty = 0;
|
|
|
|
let vqd: string;
|
|
try {
|
|
vqd = await getVqdToken(query);
|
|
} catch (err) {
|
|
console.warn(` ⚠ DDG token failed: ${err instanceof Error ? err.message : "unknown"}`);
|
|
return { urls: [], exhausted: true };
|
|
}
|
|
|
|
const MAX_PAGES = 5;
|
|
let lowNoveltyCount = 0;
|
|
|
|
while (results.length < target && page <= MAX_PAGES) {
|
|
await sleep(SEARCH_DELAY);
|
|
|
|
let pageResults: DuckDuckGoImageResult[];
|
|
try {
|
|
pageResults = await searchImagesDuckDuckGo(query, vqd, page);
|
|
} catch (err) {
|
|
console.warn(` ⚠ DDG error: ${err instanceof Error ? err.message : "unknown"}`);
|
|
break;
|
|
}
|
|
|
|
if (!pageResults || pageResults.length === 0) {
|
|
consecutiveEmpty++;
|
|
if (consecutiveEmpty >= 3) {
|
|
exhausted = true;
|
|
break;
|
|
}
|
|
page++;
|
|
continue;
|
|
}
|
|
|
|
consecutiveEmpty = 0;
|
|
let newCount = 0;
|
|
|
|
for (const r of pageResults) {
|
|
if (results.length >= target) break;
|
|
const imgUrl = r.image || r.url;
|
|
if (!imgUrl || typeof imgUrl !== "string") continue;
|
|
if (seenUrls.has(imgUrl)) continue;
|
|
try {
|
|
new URL(imgUrl);
|
|
} catch {
|
|
continue;
|
|
}
|
|
seenUrls.add(imgUrl);
|
|
results.push(imgUrl);
|
|
newCount++;
|
|
}
|
|
|
|
const newRatio = newCount / pageResults.length;
|
|
if (newRatio < 0.05) {
|
|
lowNoveltyCount++;
|
|
if (lowNoveltyCount >= 2) break;
|
|
} else {
|
|
lowNoveltyCount = 0;
|
|
}
|
|
|
|
if (results.length < target) page++;
|
|
}
|
|
|
|
return { urls: results.slice(0, target), exhausted };
|
|
}
|
|
|
|
// ─── iNaturalist API ───────────────────────────────────────────────────────
|
|
|
|
async function searchImagesInaturalist(
|
|
query: string,
|
|
target: number,
|
|
seenUrls: Set<string>,
|
|
): Promise<{ urls: string[]; exhausted: boolean }> {
|
|
const results: string[] = [];
|
|
const perPage = Math.min(target, 200);
|
|
|
|
const apiUrl =
|
|
`https://api.inaturalist.org/v1/observations` +
|
|
`?q=${encodeURIComponent(query)}` +
|
|
`&photos_only=true` +
|
|
`&quality_grade=research` +
|
|
`&per_page=${perPage}` +
|
|
`&order_by=observed_on&order=desc`;
|
|
|
|
try {
|
|
const res = await fetch(apiUrl, {
|
|
headers: { "User-Agent": UA, Accept: "application/json" },
|
|
signal: AbortSignal.timeout(15_000),
|
|
});
|
|
if (!res.ok) return { urls: [], exhausted: false };
|
|
|
|
const data = (await res.json()) as {
|
|
results: Array<{ photos: Array<{ url: string }> }>;
|
|
};
|
|
|
|
for (const obs of data.results ?? []) {
|
|
if (results.length >= target) break;
|
|
for (const photo of obs.photos ?? []) {
|
|
if (results.length >= target) break;
|
|
const url = photo.url;
|
|
if (!url || seenUrls.has(url)) continue;
|
|
const fullUrl = url.replace("/medium.", "/original.");
|
|
seenUrls.add(fullUrl);
|
|
results.push(fullUrl);
|
|
}
|
|
}
|
|
|
|
return { urls: results, exhausted: results.length < target };
|
|
} catch {
|
|
return { urls: results, exhausted: false };
|
|
}
|
|
}
|
|
|
|
// ─── Wikimedia Commons API ─────────────────────────────────────────────────
|
|
|
|
async function searchImagesCommons(
|
|
query: string,
|
|
target: number,
|
|
seenUrls: Set<string>,
|
|
): Promise<{ urls: string[]; exhausted: boolean }> {
|
|
const results: string[] = [];
|
|
let sroffset = 0;
|
|
|
|
while (results.length < target) {
|
|
const params = new URLSearchParams({
|
|
action: "query",
|
|
list: "search",
|
|
srsearch: query,
|
|
srnamespace: "6",
|
|
srlimit: "50",
|
|
sroffset: String(sroffset),
|
|
format: "json",
|
|
});
|
|
|
|
const url = `https://commons.wikimedia.org/w/api.php?${params}`;
|
|
|
|
try {
|
|
const res = await fetch(url, {
|
|
headers: { "User-Agent": UA },
|
|
signal: AbortSignal.timeout(10_000),
|
|
});
|
|
if (!res.ok) break;
|
|
|
|
const data = (await res.json()) as {
|
|
query?: { search?: Array<{ title: string }> };
|
|
continue?: { sroffset?: number };
|
|
};
|
|
|
|
const hits = data.query?.search ?? [];
|
|
if (hits.length === 0) break;
|
|
|
|
for (const hit of hits) {
|
|
if (results.length >= target) break;
|
|
const filename = hit.title.replace(/^File:/, "");
|
|
const imgUrl = `https://commons.wikimedia.org/wiki/Special:FilePath/${encodeURIComponent(
|
|
filename,
|
|
)}`;
|
|
if (seenUrls.has(imgUrl)) continue;
|
|
seenUrls.add(imgUrl);
|
|
results.push(imgUrl);
|
|
}
|
|
|
|
sroffset = data.continue?.sroffset ?? sroffset + hits.length;
|
|
} catch {
|
|
break;
|
|
}
|
|
}
|
|
|
|
return { urls: results, exhausted: results.length < target };
|
|
}
|
|
|
|
// ─── Image Download ─────────────────────────────────────────────────────────
|
|
|
|
async function downloadImage(url: string, destPath: string): Promise<boolean> {
|
|
try {
|
|
const res = await fetch(url, {
|
|
headers: { "User-Agent": UA, Accept: "image/webp,image/png,image/jpeg,*/*" },
|
|
signal: AbortSignal.timeout(15_000),
|
|
});
|
|
if (!res.ok) return false;
|
|
|
|
const contentType = res.headers.get("content-type") || "";
|
|
if (contentType.includes("text/html")) return false;
|
|
|
|
const buffer = Buffer.from(await res.arrayBuffer());
|
|
if (buffer.length < MIN_IMAGE_SIZE) return false;
|
|
if (buffer.length > MAX_IMAGE_SIZE) return false;
|
|
|
|
let ext = extname(new URL(url).pathname).toLowerCase();
|
|
if (!ALLOWED_EXTENSIONS.includes(ext)) {
|
|
if (contentType.includes("jpeg") || contentType.includes("jpg")) ext = ".jpg";
|
|
else if (contentType.includes("png")) ext = ".png";
|
|
else if (contentType.includes("webp")) ext = ".webp";
|
|
else ext = ".jpg";
|
|
}
|
|
|
|
const filePath = destPath.replace(/\.\w+$/, ext);
|
|
writeFileSync(filePath, buffer);
|
|
return true;
|
|
} catch {
|
|
return false;
|
|
}
|
|
}
|
|
|
|
async function downloadBatch(
|
|
urls: string[],
|
|
classDir: string,
|
|
startIndex: number,
|
|
): Promise<{ downloaded: number; failed: number; lastIndex: number }> {
|
|
let downloaded = 0;
|
|
let failed = 0;
|
|
let index = startIndex;
|
|
|
|
for (let i = 0; i < urls.length; i += CONCURRENT_DOWNLOADS) {
|
|
const chunk = urls.slice(i, i + CONCURRENT_DOWNLOADS);
|
|
|
|
const results = await Promise.all(
|
|
chunk.map(async (url) => {
|
|
const paddedIndex = String(index).padStart(4, "0");
|
|
const destPath = resolve(classDir, `img_${paddedIndex}.jpg`);
|
|
const success = await downloadImage(url, destPath);
|
|
return { success, index: index++ };
|
|
}),
|
|
);
|
|
|
|
for (const r of results) {
|
|
if (r.success) downloaded++;
|
|
else failed++;
|
|
}
|
|
|
|
const total = downloaded + failed;
|
|
if (total % 30 === 0 || total === urls.length) {
|
|
process.stdout.write(`\r Progress: ${downloaded}/${urls.length} (${failed} failed)`);
|
|
}
|
|
}
|
|
console.log();
|
|
|
|
return { downloaded, failed, lastIndex: index };
|
|
}
|
|
|
|
// ─── Query Building ─────────────────────────────────────────────────────────
|
|
|
|
function buildSearchQueries(name: string, plant: string): string[] {
|
|
return [`${name} ${plant} leaf disease`, `${plant} ${name} symptoms`, `${name} ${plant}`];
|
|
}
|
|
|
|
function buildHealthyQueries(plant: string): string[] {
|
|
const name = plant.replace(/-/g, " ");
|
|
return [
|
|
`healthy ${name} leaf`,
|
|
`${name} leaf closeup`,
|
|
`healthy ${name} plant`,
|
|
`${name} foliage`,
|
|
];
|
|
}
|
|
|
|
// ─── Fill Logic ─────────────────────────────────────────────────────────────
|
|
|
|
/**
|
|
* Try to collect up to `needed` images for a disease by hitting all three
|
|
* sources in order. Returns how many new images were actually downloaded.
|
|
*/
|
|
async function fillClass(
|
|
diseaseId: string,
|
|
queries: string[],
|
|
needed: number,
|
|
classDir: string,
|
|
seenUrls: Set<string>,
|
|
): Promise<number> {
|
|
if (needed <= 0) return 0;
|
|
|
|
mkdirSync(classDir, { recursive: true });
|
|
|
|
const allUrls: string[] = [];
|
|
|
|
// ── 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);
|
|
});
|