'use strict';

// #41 Phase 2: text-to-image for AI signage. Two backends, both BYO/self-hostable:
//  - 'comfyui'  -> local ComfyUI (SDXL) via its prompt/history/view API
//  - 'openai'   -> any OpenAI-compatible /images/generations endpoint
// Returns a data: URL (base64 PNG) the Designer can drop straight onto a layer.
// The caller is responsible for the SSRF check on the base URL.

const NEGATIVE = 'text, words, letters, watermark, signature, logo, blurry, low quality, deformed';

function buildComfyWorkflow(prompt, ckpt, width, height, seed) {
  return {
    '3': { class_type: 'KSampler', inputs: { seed, steps: 25, cfg: 7, sampler_name: 'dpmpp_2m', scheduler: 'karras', denoise: 1, model: ['4', 0], positive: ['6', 0], negative: ['7', 0], latent_image: ['5', 0] } },
    '4': { class_type: 'CheckpointLoaderSimple', inputs: { ckpt_name: ckpt } },
    '5': { class_type: 'EmptyLatentImage', inputs: { width, height, batch_size: 1 } },
    '6': { class_type: 'CLIPTextEncode', inputs: { text: prompt, clip: ['4', 1] } },
    '7': { class_type: 'CLIPTextEncode', inputs: { text: NEGATIVE, clip: ['4', 1] } },
    '8': { class_type: 'VAEDecode', inputs: { samples: ['3', 0], vae: ['4', 2] } },
    '9': { class_type: 'SaveImage', inputs: { filename_prefix: 'signage', images: ['8', 0] } },
  };
}

const sleep = (ms) => new Promise((r) => setTimeout(r, ms));

async function comfyGenerate(baseUrl, prompt, model, width, height, signal) {
  const ckpt = model || 'sd_xl_base_1.0.safetensors';
  const seed = Math.floor(Math.random() * 1e15);
  const wf = buildComfyWorkflow(prompt, ckpt, width, height, seed);
  const sub = await fetch(baseUrl + '/prompt', {
    method: 'POST', headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ prompt: wf }), signal,
  });
  if (!sub.ok) throw new Error(`ComfyUI rejected the job (${sub.status}): ${(await sub.text().catch(() => '')).slice(0, 150)}`);
  const { prompt_id } = await sub.json();
  if (!prompt_id) throw new Error('ComfyUI did not return a prompt id');

  // poll history until this prompt produces an output
  for (let i = 0; i < 120; i++) {
    if (signal && signal.aborted) throw Object.assign(new Error('aborted'), { name: 'AbortError' });
    await sleep(1000);
    const h = await fetch(`${baseUrl}/history/${prompt_id}`, { signal }).then((r) => r.json()).catch(() => null);
    const entry = h && h[prompt_id];
    if (!entry) continue;
    const outputs = entry.outputs || {};
    for (const nodeId of Object.keys(outputs)) {
      const imgs = outputs[nodeId].images;
      if (imgs && imgs.length) {
        const im = imgs[0];
        const q = new URLSearchParams({ filename: im.filename, subfolder: im.subfolder || '', type: im.type || 'output' });
        const buf = Buffer.from(await (await fetch(`${baseUrl}/view?${q}`, { signal })).arrayBuffer());
        return 'data:image/png;base64,' + buf.toString('base64');
      }
    }
    if (entry.status && entry.status.status_str === 'error') throw new Error('ComfyUI reported a generation error');
  }
  throw new Error('ComfyUI image timed out');
}

// 'openai' (real cloud) only accepts a fixed set of sizes; 'sdcpp' (local) takes
// exact dimensions and is VRAM-bound, so we keep those small. Both speak the same
// /v1/images/generations API.
function sizeFor(provider, width, height) {
  if (provider === 'sdcpp') return `${width}x${height}`;
  return width > height ? '1792x1024' : (height > width ? '1024x1792' : '1024x1024');
}

async function openaiCompatGenerate(baseUrl, key, prompt, model, size, signal) {
  const body = { prompt, n: 1, size, response_format: 'b64_json' };
  if (model) body.model = model; // omit for sd.cpp (uses its loaded checkpoint)
  const res = await fetch(baseUrl + '/images/generations', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${key}` },
    body: JSON.stringify(body),
    signal,
  });
  if (!res.ok) throw new Error(`Image endpoint error ${res.status}: ${(await res.text().catch(() => '')).slice(0, 150)}`);
  const j = await res.json();
  const b64 = j && j.data && j.data[0] && j.data[0].b64_json;
  if (b64) return 'data:image/png;base64,' + b64;
  const url = j && j.data && j.data[0] && j.data[0].url;
  if (url) {
    const buf = Buffer.from(await (await fetch(url, { signal })).arrayBuffer());
    return 'data:image/png;base64,' + buf.toString('base64');
  }
  throw new Error('Image endpoint returned no image');
}

// generateImage(opts) -> data URL. opts: { provider, baseUrl, apiKey, model,
// prompt, width, height, timeoutMs }
async function generateImage(opts) {
  const { provider, baseUrl, apiKey, model, prompt } = opts;
  const width = opts.width || 1024;
  const height = opts.height || 1024;
  const controller = new AbortController();
  const timer = setTimeout(() => controller.abort(), opts.timeoutMs || 180000);
  try {
    if (provider === 'openai' || provider === 'sdcpp') {
      return await openaiCompatGenerate(baseUrl, apiKey || 'none', prompt, model, sizeFor(provider, width, height), controller.signal);
    }
    return await comfyGenerate(baseUrl, prompt, model, width, height, controller.signal);
  } catch (e) {
    if (e.name === 'AbortError') throw new Error('image generation timed out');
    throw e;
  } finally {
    clearTimeout(timer);
  }
}

module.exports = { generateImage };