#!/usr/bin/env node
/**
 * Fetch disease images from Wikipedia/Wikimedia Commons.
 *
 * For each disease in the database, searches Wikipedia for its page
 * and retrieves the main infobox image.
 *
 * Usage: cd apps/web && npx tsx scripts/scrape-disease-images.ts
 *
 * Rate-limited to 1 request per 300ms to be respectful.
 */

import "dotenv/config";
import { createClient } from "@libsql/client";
import { sql } from "drizzle-orm";
import { getDb, closeDb } from "../src/lib/db/index";
import { diseases } from "../src/lib/db/schema";

const WIKI_API = "https://en.wikipedia.org/w/api.php";
const COMMONS_API = "https://commons.wikimedia.org/w/api.php";
const MIN_DELAY_MS = 350; // Be respectful

let lastCall = 0;

async function rateLimit() {
  const now = Date.now();
  const elapsed = now - lastCall;
  if (elapsed < MIN_DELAY_MS) {
    await new Promise((r) => setTimeout(r, MIN_DELAY_MS - elapsed));
  }
  lastCall = Date.now();
}

interface WikiSearchResult {
  title: string;
  pageid: number;
}

async function searchWikipedia(term: string): Promise<WikiSearchResult | null> {
  await rateLimit();
  const url = `${WIKI_API}?action=query&list=search&srsearch=${encodeURIComponent(term)}&format=json&srlimit=1&origin=*`;
  try {
    const res = await fetch(url, { headers: { "User-Agent": "PlantHealthKB/1.0" } });
    const data = await res.json() as any;
    const results = data?.query?.search;
    if (results && results.length > 0) {
      return { title: results[0].title, pageid: results[0].pageid };
    }
  } catch {
    // ignore
  }
  return null;
}

async function getPageImage(title: string): Promise<string | null> {
  await rateLimit();
  const url = `${WIKI_API}?action=query&titles=${encodeURIComponent(title)}&prop=pageimages&format=json&pithumbsize=400&origin=*`;
  try {
    const res = await fetch(url, { headers: { "User-Agent": "PlantHealthKB/1.0" } });
    const data = await res.json() as any;
    const pages = data?.query?.pages;
    if (pages) {
      const page = Object.values(pages)[0] as any;
      if (page?.thumbnail?.source) {
        return page.thumbnail.source;
      }
    }
  } catch {
    // ignore
  }
  return null;
}

async function searchCommons(term: string): Promise<string | null> {
  await rateLimit();
  const url = `${COMMONS_API}?action=query&list=search&srsearch=${encodeURIComponent(term)}&format=json&srlimit=3&origin=*`;
  try {
    const res = await fetch(url, { headers: { "User-Agent": "PlantHealthKB/1.0" } });
    const data = await res.json() as any;
    const results = data?.query?.search;
    if (results && results.length > 0) {
      // Try to get thumbnail for best match
      for (const r of results.slice(0, 2)) {
        const imgUrl = await getCommonsImage(r.title);
        if (imgUrl) return imgUrl;
      }
    }
  } catch {
    // ignore
  }
  return null;
}

async function getCommonsImage(title: string): Promise<string | null> {
  await rateLimit();
  const url = `${COMMONS_API}?action=query&titles=${encodeURIComponent(title)}&prop=imageinfo&iiprop=url&iiurlwidth=400&format=json&origin=*`;
  try {
    const res = await fetch(url, { headers: { "User-Agent": "PlantHealthKB/1.0" } });
    const data = await res.json() as any;
    const pages = data?.query?.pages;
    if (pages) {
      const page = Object.values(pages)[0] as any;
      if (page?.imageinfo?.[0]?.thumburl) {
        return page.imageinfo[0].thumburl;
      }
      if (page?.imageinfo?.[0]?.url) {
        return page.imageinfo[0].url;
      }
    }
  } catch {
    // ignore
  }
  return null;
}

async function main() {
  console.log("🔍 Fetching disease images from Wikipedia\n");
  const db = getDb();
  const rawClient = createClient({
    url: process.env.DATABASE_URL!,
    authToken: process.env.DATABASE_TOKEN!,
  });

  // Get all diseases without images
  const rows = await db
    .select({
      id: diseases.id,
      name: diseases.name,
      sciName: diseases.scientificName,
      plantId: diseases.plantId,
    })
    .from(diseases)
    .where(sql`image_url IS NULL OR image_url = ''`);

  console.log(`📋 ${rows.length} diseases missing images`);
  if (rows.length === 0) {
    console.log("✅ All diseases already have images!");
    process.exit(0);
  }

  let found = 0;
  let skipped = 0;
  let batch: { sql: string; args: any[] }[] = [];

  const BATCH_SIZE = 50;
  let i = 0;

  for (const row of rows) {
    i++;
    // Build search terms: try scientific name + disease name, then disease name alone
    const searchTerms = [
      `${row.sciName || ""} ${row.name}`.trim(),
      row.name,
      `${row.name} (${row.sciName})`.trim(),
    ].filter(Boolean);

    let imageUrl: string | null = null;

    for (const term of searchTerms) {
      if (term.length < 3) continue;
      // Try Wikipedia first
      const page = await searchWikipedia(term);
      if (page) {
        imageUrl = await getPageImage(page.title);
        if (imageUrl) break;
      }
      // Try Commons directly
      imageUrl = await searchCommons(term);
      if (imageUrl) break;
    }

    if (imageUrl && !imageUrl.startsWith("https://")) {
      imageUrl = null;
    }

    if (imageUrl) {
      batch.push({
        sql: "UPDATE diseases SET image_url = ? WHERE id = ?",
        args: [imageUrl, row.id],
      });
      if (i % 100 === 0) {
        process.stdout.write(`  🔍 found ${found} so far...\n`);
      }
      found++;
    } else {
      skipped++;
    }

    // Flush batch
    if (batch.length >= BATCH_SIZE) {
      await rawClient.batch(
        batch.map((b) => ({ sql: b.sql, args: b.args })),
        "write",
      );
      process.stdout.write(`  📦 flushed ${batch.length} updates (${i}/${rows.length})\n`);
      batch = [];
    }
  }

  // Flush remaining
  if (batch.length > 0) {
    await rawClient.batch(
      batch.map((b) => ({ sql: b.sql, args: b.args })),
      "write",
    );
    process.stdout.write(`  📦 final flush: ${batch.length} updates\n`);
  }

  rawClient.close();
  closeDb();

  console.log(`\n✅ Done! Found images: ${found} | Skipped: ${skipped}`);
}

main().catch((err) => { console.error("❌ Fatal:", err); process.exit(1); });