/**
 * Website capture orchestrator.
 *
 * Two-pass capture approach:
 * Pass 1: Full page load (all JS) → catalog animations + snapshot canvases
 * Pass 2: Framework scripts blocked → extract stable HTML/CSS
 *
 * This ensures we get both:
 * - Rich animation metadata for Claude Code to recreate
 * - Stable, renderable HTML that won't crash in Puppeteer
 */

import { mkdirSync, writeFileSync, existsSync } from "node:fs";
import { join } from "node:path";
import { extractHtml } from "./htmlExtractor.js";
// captureScreenshots removed — full-page screenshot replaces per-section shots
import { extractTokens } from "./tokenExtractor.js";
import { downloadAssets, downloadAndRewriteFonts } from "./assetDownloader.js";
// briefGenerator.ts, visual-style, capture-summary removed — DESIGN.md replaces them
import {
  setupAnimationCapture,
  startCdpAnimationCapture,
  collectAnimationCatalog,
} from "./animationCataloger.js";
import {
  saveLottieAnimations,
  renderLottiePreviews,
  captureVideoManifest,
} from "./mediaCapture.js";
import type { DiscoveredLottie } from "./mediaCapture.js";
import {
  detectLibraries,
  extractVisibleText,
  captionImagesWithGemini,
  generateAssetDescriptions,
} from "./contentExtractor.js";
import { loadEnvFile, generateProjectScaffold } from "./scaffolding.js";
import type { CaptureOptions, CaptureResult } from "./types.js";

export type { CaptureOptions, CaptureResult } from "./types.js";

export async function captureWebsite(
  opts: CaptureOptions,
  onProgress?: (stage: string, detail?: string) => void,
): Promise<CaptureResult> {
  const {
    url,
    outputDir,
    viewportWidth = 1920,
    viewportHeight = 1080,
    timeout = 120000,
    settleTime = 3000,
    maxScreenshots: _maxScreenshots = 24,
    skipAssets = false,
  } = opts;

  const warnings: string[] = [];
  const progress = (stage: string, detail?: string) => {
    onProgress?.(stage, detail);
  };

  // Load .env file from repo root if it exists (for GEMINI_API_KEY, etc.)
  loadEnvFile(outputDir);

  // Create output directories
  mkdirSync(join(outputDir, "extracted"), { recursive: true });
  mkdirSync(join(outputDir, "screenshots"), { recursive: true });
  mkdirSync(join(outputDir, "assets"), { recursive: true });

  // Launch browser
  progress("browser", "Launching headless Chrome...");
  const { ensureBrowser } = await import("../browser/manager.js");
  const browser = await ensureBrowser();
  const puppeteer = await import("puppeteer-core");
  const chromeBrowser = await puppeteer.default.launch({
    headless: true,
    executablePath: browser.executablePath,
    args: [
      "--no-sandbox",
      "--disable-dev-shm-usage",
      "--enable-webgl",
      "--ignore-gpu-blocklist",
      "--use-gl=angle",
      "--use-angle=swiftshader",
      "--disable-blink-features=AutomationControlled",
      "--disable-background-timer-throttling",
      "--disable-renderer-backgrounding",
      `--window-size=${viewportWidth},${viewportHeight}`,
    ],
  });

  let animationCatalog: CaptureResult["animationCatalog"];

  try {
    // ═══════════════════════════════════════════════════════════════
    // PASS 1: Full page load — all JS runs
    // Goal: Catalog animations + take screenshots (with JS rendering)
    // ═══════════════════════════════════════════════════════════════

    progress("animations", "Cataloging animations (full JS)...");

    const page1 = await chromeBrowser.newPage();
    await page1.setViewport({ width: viewportWidth, height: viewportHeight });
    await page1.setUserAgent(
      "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",
    );

    // Set up hooks BEFORE navigation
    await setupAnimationCapture(page1);
    const { cdp, animations: cdpAnims } = await startCdpAnimationCapture(page1);

    // Hook WebGL to capture shader source code (GLSL)
    // Captured shaders inform Claude Code about the site's visual effects
    // and enable reliable library detection (Three.js/PixiJS/Babylon.js uniforms survive bundling)
    await page1.evaluateOnNewDocument(`
      var origGetContext = HTMLCanvasElement.prototype.getContext;
      window.__capturedShaders = [];
      HTMLCanvasElement.prototype.getContext = function(type, attrs) {
        var ctx = origGetContext.call(this, type, attrs);
        if (ctx && (type === 'webgl' || type === 'webgl2' || type === 'experimental-webgl')) {
          if (ctx.shaderSource && !ctx.__hfHooked) {
            var origShaderSource = ctx.shaderSource.bind(ctx);
            ctx.shaderSource = function(shader, source) {
              try {
                var shaderType = ctx.getShaderParameter(shader, ctx.SHADER_TYPE);
                window.__capturedShaders.push({
                  type: shaderType === ctx.VERTEX_SHADER ? 'vertex' : 'fragment',
                  source: source.slice(0, 5000)
                });
              } catch(e) {}
              return origShaderSource(shader, source);
            };
            ctx.__hfHooked = true;
          }
        }
        return ctx;
      };
    `);

    // Intercept network responses to detect Lottie JSON files
    const discoveredLotties: DiscoveredLottie[] = [];
    page1.on("response", async (response) => {
      try {
        const responseUrl = response.url();
        const contentType = response.headers()["content-type"] || "";
        const isJsonUrl = responseUrl.endsWith(".json");
        const isLottieUrl = responseUrl.endsWith(".lottie");
        const isJson =
          contentType.includes("application/json") || contentType.includes("text/plain");

        if (isLottieUrl) {
          discoveredLotties.push({ url: responseUrl });
          return;
        }

        if (isJsonUrl || isJson) {
          // Check Content-Length before downloading to avoid OOM on huge responses
          const cl = parseInt(response.headers()["content-length"] || "0", 10);
          if (cl > 5_000_000) return;
          const buffer = await response.buffer();
          if (buffer.length < 100 || buffer.length > 5_000_000) return; // Skip tiny or huge
          const text = buffer.toString("utf-8");
          const json = JSON.parse(text);
          // Validate Lottie structure: must have version, in/out points, layers, dimensions, framerate
          if (
            json &&
            typeof json === "object" &&
            ["v", "ip", "op", "layers", "w", "h", "fr"].every((k: string) => k in json)
          ) {
            discoveredLotties.push({
              url: responseUrl,
              data: json,
              dimensions: { w: json.w, h: json.h },
              frameRate: json.fr,
            });
          }
        }
      } catch {
        /* not JSON or parse error — skip */
      }
    });

    // Use networkidle2 (allows 2 ongoing connections) instead of networkidle0 —
    // modern SPAs often have persistent WebSocket/analytics connections that
    // prevent networkidle0 from ever resolving.
    await page1.goto(url, { waitUntil: "networkidle2", timeout });
    await new Promise((r) => setTimeout(r, settleTime));

    // Check if the page loaded real content or an anti-bot challenge
    // Use structural detection (DOM elements + cookies), not text regex matching —
    // text matching causes false positives on sites that mention "blocked" or "verify" in copy
    const pageContentCheck = (await page1.evaluate(`(() => {
      var text = (document.body.innerText || "").trim();
      var title = document.title || "";
      // Structural: Cloudflare Turnstile widget or challenge iframe
      var hasCfTurnstile = !!document.querySelector('.cf-turnstile, [data-sitekey], iframe[src*="challenges.cloudflare.com"], #challenge-running, #challenge-form');
      // Structural: page is almost empty (challenge pages have minimal DOM)
      var bodyChildCount = document.body.children.length;
      var isMinimalDom = bodyChildCount <= 5 && text.length < 500;
      // Title-based: only check title on near-empty pages
      var hasChallengeTitle = isMinimalDom && /just a moment|attention required|access denied/i.test(title);
      var isChallenged = hasCfTurnstile || hasChallengeTitle;
      return { textLength: text.length, title: title, isChallenged: isChallenged, bodyChildCount: bodyChildCount };
    })()`)) as { textLength: number; title: string; isChallenged: boolean; bodyChildCount: number };

    if (pageContentCheck.isChallenged || pageContentCheck.textLength < 100) {
      const reason = pageContentCheck.isChallenged
        ? "Anti-bot protection detected (Cloudflare challenge or similar)"
        : "Page has very little text content (" +
          pageContentCheck.textLength +
          " chars) — may be blocked or a client-rendered SPA that needs more time";
      warnings.push(reason);
      progress("warn", reason);
    }

    // Scroll through page to trigger lazy-loaded images and Lottie animations
    // Framer and other modern sites use IntersectionObserver — images only load
    // when scrolled into view. We scroll the full page, then wait for all images
    // to finish loading before proceeding.
    await page1.evaluate(`(async () => {
      var h = document.body.scrollHeight;
      for (var y = 0; y < h; y += window.innerHeight * 0.7) {
        window.scrollTo(0, y);
        await new Promise(function(r) { setTimeout(r, 400); });
      }
      // Scroll to very bottom to catch footer lazy-loads
      window.scrollTo(0, document.body.scrollHeight);
      await new Promise(function(r) { setTimeout(r, 800); });
      // Wait for all images to finish loading
      var imgs = Array.from(document.querySelectorAll('img'));
      var pending = imgs.filter(function(img) { return !img.complete; });
      if (pending.length > 0) {
        await Promise.race([
          Promise.all(pending.map(function(img) {
            return new Promise(function(r) { img.onload = r; img.onerror = r; });
          })),
          new Promise(function(r) { setTimeout(r, 5000); })
        ]);
      }
      window.scrollTo(0, 0);
      await new Promise(function(r) { setTimeout(r, 500); });
    })()`);

    await page1.evaluate(`window.scrollTo(0, 0)`);
    await new Promise((r) => setTimeout(r, 300));

    // Save discovered Lottie animations
    // Also scan DOM for Lottie web components not caught by network interception
    try {
      const domLotties = await page1.evaluate(`(() => {
        var urls = [];
        document.querySelectorAll('dotlottie-wc, lottie-player, dotlottie-player').forEach(function(el) {
          var src = el.getAttribute('src');
          if (src) urls.push(src);
        });
        // Also check lottie-web registered animations
        if (window.lottie && window.lottie.getRegisteredAnimations) {
          window.lottie.getRegisteredAnimations().forEach(function(anim) {
            if (anim.path) urls.push(anim.path);
          });
        }
        return urls;
      })()`);
      if (Array.isArray(domLotties)) {
        for (const lottieUrl of domLotties) {
          if (
            typeof lottieUrl === "string" &&
            !discoveredLotties.some((l) => l.url === lottieUrl)
          ) {
            discoveredLotties.push({ url: lottieUrl });
          }
        }
      }
    } catch {
      /* DOM scan failed — non-critical */
    }

    if (discoveredLotties.length > 0) {
      const lottieDir = join(outputDir, "assets", "lottie");
      mkdirSync(lottieDir, { recursive: true });
      const savedCount = await saveLottieAnimations(discoveredLotties, lottieDir);
      // Generate manifest + preview thumbnails so the agent can SEE what each animation is
      if (savedCount > 0) {
        await renderLottiePreviews(chromeBrowser, lottieDir, outputDir);
        progress("lottie", `${savedCount} Lottie animation(s) saved`);
      }
    }

    // Save captured WebGL shaders (useful context for shader transitions + library detection)
    let capturedShaders: Array<{ type: string; source: string }> | undefined;
    try {
      const shaders = await page1.evaluate(`window.__capturedShaders || []`);
      if (Array.isArray(shaders) && shaders.length > 0) {
        const seen = new Set<string>();
        const unique = (shaders as Array<{ type: string; source: string }>).filter((s) => {
          if (seen.has(s.source)) return false;
          seen.add(s.source);
          return true;
        });
        capturedShaders = unique;
        writeFileSync(
          join(outputDir, "extracted", "shaders.json"),
          JSON.stringify(unique, null, 2),
          "utf-8",
        );
        progress("shaders", `${unique.length} WebGL shader(s) captured`);
      }
    } catch {
      /* shader extraction failed — non-critical */
    }

    // ── READ-ONLY phase: extract data from the live DOM before any mutations ──
    // extractHtml (below) converts image src to data URLs and removes scripts —
    // all read-only operations must run BEFORE it to see the original DOM.

    // Extract design tokens
    progress("tokens", "Extracting design tokens...");
    const tokens = await extractTokens(page1);
    writeFileSync(
      join(outputDir, "extracted", "tokens.json"),
      JSON.stringify(tokens, null, 2),
      "utf-8",
    );

    // Collect animation catalog
    progress("animations", "Cataloging animations...");
    animationCatalog = await collectAnimationCatalog(page1, cdpAnims, cdp);

    // Capture scroll-position viewport screenshots
    progress("screenshots", "Capturing scroll screenshots...");
    const { captureScrollScreenshots } = await import("./screenshotCapture.js");
    const screenshots = await captureScrollScreenshots(page1, outputDir);
    progress("screenshots", `${screenshots.length} scroll screenshots captured`);

    // Catalog all assets (must run before extractHtml which converts img src to data URLs)
    progress("design", "Cataloging assets...");
    let catalogedAssets: import("./assetCataloger.js").CatalogedAsset[] = [];
    try {
      const { catalogAssets } = await import("./assetCataloger.js");
      catalogedAssets = await catalogAssets(page1);
      progress("design", `${catalogedAssets.length} assets cataloged`);
      if (catalogedAssets.length === 0) {
        warnings.push(
          "Asset catalog is empty — no images will be downloaded. The page may use non-standard image loading.",
        );
      }
    } catch (err) {
      warnings.push(`Asset cataloging failed (no images will be downloaded): ${err}`);
    }

    // ── MUTATION phase: extractHtml modifies the live DOM (converts images to data URLs) ──
    progress("extract", "Extracting HTML & CSS...");
    const extracted = await extractHtml(page1, { settleTime: 1000 });

    // Strip framework scripts from the extracted body — keep visual library scripts
    // IMPORTANT: Use non-greedy matching within individual script tags only
    extracted.bodyHtml = extracted.bodyHtml
      // Remove __NEXT_DATA__ (has its own ID so safe to target)
      .replace(/<script\s+id="__NEXT_DATA__"[^>]*>[\s\S]*?<\/script>/gi, "")
      // Remove React hydration markers
      .replace(/\s*data-reactroot="[^"]*"/g, "")
      .replace(/\s*data-reactroot/g, "");

    // Remove Next.js bootstrap scripts individually (match each script tag separately)
    extracted.bodyHtml = extracted.bodyHtml.replace(
      /<script\b[^>]*>([\s\S]*?)<\/script>/gi,
      (match: string, content: string) => {
        // Only remove if this specific script contains Next.js bootstrap code
        if (
          content.includes("__next_f") ||
          content.includes("self.__next_f") ||
          content.includes("__NEXT_LOADED_PAGES__") ||
          content.includes("_N_E") ||
          content.includes("__NEXT_P")
        ) {
          return "";
        }
        return match;
      },
    );

    // Strip framework script tags from head (keep styles + visual library scripts)
    const FRAMEWORK_SRC_PATTERNS = [
      /_next\/static\/chunks\/(main|framework|webpack|pages\/)/,
      /_next\/static\/chunks\/app\//,
      /_buildManifest\.js/,
      /_ssgManifest\.js/,
    ];
    extracted.headHtml = extracted.headHtml.replace(
      /<script[^>]*src="([^"]*)"[^>]*><\/script>/gi,
      (match: string, src: string) => {
        if (FRAMEWORK_SRC_PATTERNS.some((p) => p.test(src))) return "";
        return match;
      },
    );

    // Generate video manifest — screenshot each <video> element + extract surrounding context
    // so Claude Code can SEE what each video shows and WHERE it was used on the page.
    try {
      await captureVideoManifest(page1, outputDir, progress);
    } catch {
      /* non-blocking — video manifest is best-effort */
    }

    // Detect JS libraries via globals, DOM fingerprints, script URLs, and shaders
    const detectedLibraries = await detectLibraries(page1, capturedShaders);

    // Extract all visible text in DOM order
    const visibleTextContent = await extractVisibleText(page1);

    // Extract favicon links before closing page (removed from tokens to reduce noise)
    const faviconLinks = (await page1.evaluate(`(() => {
      var iconEls = Array.from(document.querySelectorAll('link[rel*="icon"], link[rel="apple-touch-icon"]'));
      return iconEls.map(function(l) { return { rel: l.rel, href: l.href }; });
    })()`)) as Array<{ rel: string; href: string }>;

    await page1.close();

    // Download fonts and rewrite URLs to local paths
    extracted.headHtml = await downloadAndRewriteFonts(extracted.headHtml, outputDir);

    // Save animation catalog — lean version for the agent (not 745 raw CSS declarations)
    if (animationCatalog) {
      // Extract just what's useful: counts, named animations, a few representative keyframed entries
      const uniqueAnimNames = new Set<string>();
      for (const d of animationCatalog.cssDeclarations || []) {
        if (d.animation?.name) uniqueAnimNames.add(d.animation.name);
      }

      // Keep up to 10 Web Animations that have actual keyframe data (most useful for recreation)
      const representativeAnims = (animationCatalog.webAnimations || [])
        .filter((a) => a.keyframes && a.keyframes.length > 0)
        .slice(0, 10);

      const leanCatalog = {
        summary: animationCatalog.summary,
        namedAnimations: Array.from(uniqueAnimNames),
        scrollTriggeredElements: (animationCatalog.scrollTargets || []).length,
        representativeAnimations: representativeAnims,
      };

      writeFileSync(
        join(outputDir, "extracted", "animations.json"),
        JSON.stringify(leanCatalog, null, 2),
        "utf-8",
      );
    }

    // Download assets — single pass using the catalog for best image quality
    let assets: CaptureResult["assets"] = [];
    if (!skipAssets) {
      progress("assets", "Downloading assets...");
      assets = await downloadAssets(tokens, outputDir, catalogedAssets, faviconLinks);
    }

    // Save visible text content for AI agent to use
    if (visibleTextContent) {
      writeFileSync(join(outputDir, "extracted", "visible-text.txt"), visibleTextContent, "utf-8");
    }

    // Save cataloged assets as JSON for AI agent
    if (catalogedAssets.length > 0) {
      writeFileSync(
        join(outputDir, "extracted", "assets-catalog.json"),
        JSON.stringify(catalogedAssets, null, 2),
        "utf-8",
      );
    }

    // Save detected libraries
    if (detectedLibraries.length > 0) {
      writeFileSync(
        join(outputDir, "extracted", "detected-libraries.json"),
        JSON.stringify(detectedLibraries, null, 2),
        "utf-8",
      );
    }

    // AI-powered image captioning via Gemini (optional — enriches asset descriptions)
    const geminiCaptions = await captionImagesWithGemini(outputDir, progress, warnings);

    // Generate asset descriptions for the AI agent
    progress("design", "Generating asset descriptions...");
    try {
      const lines = generateAssetDescriptions(outputDir, tokens, catalogedAssets, geminiCaptions);

      if (lines.length > 0) {
        writeFileSync(
          join(outputDir, "extracted", "asset-descriptions.md"),
          "# Asset Descriptions\n\nOne line per file. Read this instead of opening every image individually.\n\n" +
            lines.map((l) => "- " + l).join("\n") +
            "\n",
          "utf-8",
        );
        progress("design", `${lines.length} asset descriptions written`);
      }
    } catch {
      /* non-critical */
    }

    progress("design", "DESIGN.md will be created by your AI agent");

    // Generate project scaffold (index.html, meta.json, CLAUDE.md)
    await generateProjectScaffold(
      outputDir,
      url,
      tokens,
      animationCatalog,
      screenshots.length > 0,
      discoveredLotties.length > 0,
      existsSync(join(outputDir, "extracted", "shaders.json")),
      catalogedAssets,
      progress,
      warnings,
      detectedLibraries,
    );

    progress("done", "Capture complete");

    return {
      ok: true,
      projectDir: outputDir,
      url,
      title: tokens.title,
      extracted,
      screenshots,
      tokens,
      assets,
      animationCatalog,
      warnings,
    };
  } finally {
    await chromeBrowser.close();
  }
}

// visual-style.md and capture-summary.md generators removed — DESIGN.md replaces them