import type {
  ASRAdapter,
  ASRResult,
  RuntimeWarmupOptions,
} from "../app/types";

interface TransformerPipeline {
  (input: string): Promise<{ text?: string } | string>;
}

type TransformersProgressInfo = {
  status?: "initiate" | "download" | "progress" | "done" | "ready";
  file?: string;
  progress?: number;
  task?: string;
  model?: string;
};

const formatProgress = (progress: TransformersProgressInfo): string => {
  switch (progress.status) {
    case "initiate":
      return `Preparing ${progress.file ?? "speech model"}...`;
    case "download":
      return `Downloading ${progress.file ?? "speech model"}...`;
    case "progress":
      return `Downloading ${progress.file ?? "speech model"} (${Math.round(progress.progress ?? 0)}%)`;
    case "done":
      return `Loaded ${progress.file ?? "speech model"}.`;
    case "ready":
      return `Speech model ready (${progress.model ?? progress.task ?? "loaded"}).`;
    default:
      return "Loading speech model...";
  }
};

export class TransformersAsrAdapter implements ASRAdapter {
  #pipeline: TransformerPipeline | null = null;
  #device: "webgpu" | "wasm" = "wasm";

  constructor(private readonly modelId: string) {}

  async initialize(options: RuntimeWarmupOptions = {}): Promise<void> {
    if (this.#pipeline) {
      return;
    }

    const { env, pipeline } = await import("@huggingface/transformers");
    env.allowLocalModels = false;
    env.useFS = false;
    env.useFSCache = false;
    env.useBrowserCache = true;

    const preferredDevice =
      typeof navigator !== "undefined" && "gpu" in navigator ? "webgpu" : "wasm";

    try {
      options.onProgress?.(`Loading ${this.modelId} on ${preferredDevice.toUpperCase()}...`);
      this.#pipeline = (await pipeline(
        "automatic-speech-recognition",
        this.modelId,
        {
          device: preferredDevice,
          dtype: preferredDevice === "webgpu" ? "fp32" : "q8",
          progress_callback: (progress: TransformersProgressInfo) => {
            options.onProgress?.(formatProgress(progress));
          },
        },
      )) as TransformerPipeline;
      this.#device = preferredDevice;
    } catch (error) {
      if (preferredDevice !== "webgpu") {
        throw error;
      }

      console.warn(
        "ASR WebGPU initialization failed, falling back to WASM.",
        error,
      );

      options.onProgress?.("Speech WebGPU setup failed. Falling back to WASM...");
      this.#pipeline = (await pipeline(
        "automatic-speech-recognition",
        this.modelId,
        {
          device: "wasm",
          dtype: "q8",
          progress_callback: (progress: TransformersProgressInfo) => {
            options.onProgress?.(formatProgress(progress));
          },
        },
      )) as TransformerPipeline;
      this.#device = "wasm";
    }

    options.onProgress?.(`Speech ready on ${this.#device.toUpperCase()}.`);
  }

  async warmup(options: RuntimeWarmupOptions = {}): Promise<void> {
    await this.initialize(options);
    options.onProgress?.("Speech runtime warmed.");
  }

  async transcribe(audio: Blob): Promise<ASRResult> {
    await this.initialize();

    if (!this.#pipeline) {
      throw new Error("ASR pipeline failed to initialize.");
    }

    const url = URL.createObjectURL(audio);

    try {
      const result = await this.#pipeline(url);
      const text = typeof result === "string" ? result : result.text ?? "";

      if (!text.trim()) {
        throw new Error("Speech recognition returned an empty transcript.");
      }

      return { text: text.trim() };
    } finally {
      URL.revokeObjectURL(url);
    }
  }

  getDevice(): "webgpu" | "wasm" {
    return this.#device;
  }
}