/**
 * HuggingFace Spaces API Client
 * 
 * Calls the ML API hosted on HuggingFace Spaces instead of local Python.
 * This enables deployment on platforms without Python support.
 * 
 * Set HF_SPACES_URL environment variable to your Space URL:
 *   HF_SPACES_URL=https://username-space-name.hf.space
 */

import FormData from 'form-data';
import fs from 'fs';
import path from 'path';

const HF_SPACES_URL = process.env.HF_SPACES_URL;

export function isHfSpacesEnabled(): boolean {
  return !!HF_SPACES_URL;
}

export function getSpacesUrl(): string | undefined {
  return HF_SPACES_URL;
}

interface EmbeddingResult {
  success: boolean;
  embedding?: number[];
  dimension?: number;
  error?: string;
}

interface ChunkResult {
  success: boolean;
  total_duration?: number;
  chunk_count?: number;
  chunks?: Array<{
    start_time: number;
    end_time: number;
    embedding: number[];
  }>;
  error?: string;
}

interface SearchResult {
  matches: Array<{
    score: number;
    trackId: string;
    title: string;
    artist: string;
    distinctiveness?: number;
  }>;
  mean_similarity?: number;
}

/**
 * Extract MERT embedding via HuggingFace Spaces API
 */
export async function extractEmbedding(audioPath: string): Promise<EmbeddingResult> {
  if (!HF_SPACES_URL) {
    return { success: false, error: "HF_SPACES_URL not configured" };
  }

  try {
    const formData = new FormData();
    formData.append('audio_file', fs.createReadStream(audioPath));

    const response = await fetch(`${HF_SPACES_URL}/api/extract_embedding`, {
      method: 'POST',
      body: formData as any,
    });

    const text = await response.text();
    return JSON.parse(text);
  } catch (error) {
    return { success: false, error: String(error) };
  }
}

/**
 * Extract chunk embeddings via HuggingFace Spaces API
 */
export async function extractChunks(
  audioPath: string,
  chunkDuration: number = 10.0,
  overlap: number = 5.0
): Promise<ChunkResult> {
  if (!HF_SPACES_URL) {
    return { success: false, error: "HF_SPACES_URL not configured" };
  }

  try {
    const formData = new FormData();
    formData.append('audio_file', fs.createReadStream(audioPath));
    formData.append('chunk_duration', String(chunkDuration));
    formData.append('overlap', String(overlap));

    const response = await fetch(`${HF_SPACES_URL}/api/extract_chunks`, {
      method: 'POST',
      body: formData as any,
    });

    const text = await response.text();
    return JSON.parse(text);
  } catch (error) {
    return { success: false, error: String(error) };
  }
}

/**
 * Search for similar tracks via HuggingFace Spaces API
 */
export async function searchSimilar(
  queryEmbedding: number[],
  indexData: { entries: Array<{ trackId: string; title: string; artist: string; embedding: number[] }> },
  k: number = 5
): Promise<SearchResult> {
  if (!HF_SPACES_URL) {
    return { matches: [] };
  }

  try {
    const formData = new FormData();
    formData.append('query_embedding_json', JSON.stringify(queryEmbedding));
    formData.append('index_json', JSON.stringify(indexData));
    formData.append('k', String(k));

    const response = await fetch(`${HF_SPACES_URL}/api/search`, {
      method: 'POST',
      body: formData as any,
    });

    const text = await response.text();
    return JSON.parse(text);
  } catch (error) {
    return { matches: [] };
  }
}

/**
 * Check if HuggingFace Spaces API is healthy
 */
export async function checkHealth(): Promise<{ ok: boolean; details?: any }> {
  if (!HF_SPACES_URL) {
    return { ok: false, details: { error: "HF_SPACES_URL not configured" } };
  }

  try {
    const response = await fetch(`${HF_SPACES_URL}/api/health`, {
      method: 'POST',
    });

    const text = await response.text();
    const data = JSON.parse(text);
    return { ok: data.status === 'ok', details: data };
  } catch (error) {
    return { ok: false, details: { error: String(error) } };
  }
}