import { randomUUID } from "node:crypto";
import { readFile, unlink, writeFile } from "node:fs/promises";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { isSafeMessageError, SafeError } from "@snapotter/shared";
import sharp from "sharp";
import { type ProgressCallback, parseStdoutJson, runPythonWithProgress } from "./bridge.js";

export interface RemoveBackgroundOptions {
  model?: string;
  backgroundColor?: string;
  edgeRefine?: number;
  decontaminate?: boolean;
}

const MAX_REMBG_PX = Number(process.env.MAX_REMBG_PX) || 2048;
const OOM_FALLBACK_MODEL = "u2net";

/**
 * onnxruntime / CUDA surface allocation failures with several different
 * messages ("out of memory", "Failed to allocate memory for requested buffer",
 * CUBLAS_STATUS_ALLOC_FAILED, bad_alloc). Match them all so the lighter-model
 * fallback actually triggers instead of failing the job.
 */
export function isMemoryAllocError(err: unknown): boolean {
  if (!(err instanceof Error)) return false;
  return /out of memory|failed to allocate|cudaerrormemoryallocation|cublas_status_alloc_failed|bad_alloc/i.test(
    err.message,
  );
}

/**
 * Wrap a background-removal failure in a SafeError so its message survives the
 * API's Sentry scrubber, which otherwise reduces a plain Error to "Error:
 * Error". The specific sidecar reason is kept as the message (callers and the
 * existing tests rely on it, matching the ai-bridge behavior); an empty reason
 * falls back to a constant. Errors we already author (the bridge's SafeError
 * timeout/OOM) pass through unchanged so their kind is not masked.
 */
function toBgRemovalError(reason: unknown): Error {
  if (isSafeMessageError(reason)) return reason;
  const message = reason instanceof Error ? reason.message : String(reason ?? "");
  return new SafeError(message || "Background removal failed", { kind: "bug" });
}

export async function removeBackground(
  inputBuffer: Buffer,
  outputDir: string,
  options: RemoveBackgroundOptions = {},
  onProgress?: ProgressCallback,
): Promise<Buffer> {
  const id = randomUUID();
  const inputPath = join(tmpdir(), `rembg_in_${id}.png`);
  const outputPath = join(outputDir, `rembg_out_${id}.png`);

  const meta = await sharp(inputBuffer).metadata();
  const origW = meta.width ?? 0;
  const origH = meta.height ?? 0;
  const longest = Math.max(origW, origH);
  const needsDownscale = longest > MAX_REMBG_PX;

  let pipeline = sharp(inputBuffer);
  if (needsDownscale) {
    pipeline = pipeline.resize({
      width: origW >= origH ? MAX_REMBG_PX : undefined,
      height: origH > origW ? MAX_REMBG_PX : undefined,
      fit: "inside",
      withoutEnlargement: true,
    });
  }
  const pngBuffer = await pipeline.png().toBuffer();
  await writeFile(inputPath, pngBuffer);

  try {
    const megapixels = (origW * origH) / 1_000_000;
    const baseTimeout = options.model?.startsWith("birefnet") ? 600000 : 300000;
    const timeout = Math.max(baseTimeout, megapixels * 30 * 1000);

    const rawMask = await runAndParse(inputPath, outputPath, options, onProgress, timeout);

    if (needsDownscale) {
      return sharp(rawMask).resize({ width: origW, height: origH, fit: "fill" }).png().toBuffer();
    }

    return rawMask;
  } finally {
    await unlink(inputPath).catch(() => {});
    await unlink(outputPath).catch(() => {});
  }
}

async function runAndParse(
  inputPath: string,
  outputPath: string,
  options: RemoveBackgroundOptions,
  onProgress: ProgressCallback | undefined,
  timeout: number,
): Promise<Buffer> {
  try {
    const { stdout } = await runPythonWithProgress(
      "remove_bg.py",
      [inputPath, outputPath, JSON.stringify(options)],
      { onProgress, timeout },
    );
    const result = parseStdoutJson(stdout);
    if (!result.success) {
      throw new Error(result.error || "Background removal failed");
    }
    return readFile(outputPath);
  } catch (err) {
    const isOom = isMemoryAllocError(err);
    const canFallback = isOom && options.model !== OOM_FALLBACK_MODEL;

    if (!canFallback) throw toBgRemovalError(err);

    onProgress?.(5, `Retrying with lighter model (${OOM_FALLBACK_MODEL})`);
    const fallbackOpts = { ...options, model: OOM_FALLBACK_MODEL };
    const { stdout } = await runPythonWithProgress(
      "remove_bg.py",
      [inputPath, outputPath, JSON.stringify(fallbackOpts)],
      { onProgress, timeout: 300000 },
    );
    const result = parseStdoutJson(stdout);
    if (!result.success) {
      throw toBgRemovalError(result.error || "Background removal failed");
    }
    return readFile(outputPath);
  }
}