'use strict';
SM.injectLayout('nav-upload');

const uploadZone = document.getElementById('uploadZone');
const csvInput   = document.getElementById('csvInput');
let selectedFiles = [];

// ── Drag & Drop ──
uploadZone.addEventListener('dragover', e => { e.preventDefault(); uploadZone.classList.add('drag'); });
uploadZone.addEventListener('dragleave', ()  => uploadZone.classList.remove('drag'));
uploadZone.addEventListener('drop', e => {
  e.preventDefault(); uploadZone.classList.remove('drag');
  const allFiles = Array.from(e.dataTransfer.files);
  if (!allFiles.length) return;
  const files = allFiles.filter(f => f.name.endsWith('.csv'));
  if (files.length) {
    showFilePreview(files);
  } else {
    SM.showModal({ title: 'Format Tidak Sesuai', message: 'Hanya menerima file .csv', type: 'error' });
  }
});
uploadZone.addEventListener('click', e => {
  if (e.target.tagName === 'BUTTON') return;
  csvInput.click();
});
csvInput.addEventListener('change', e => { 
  const allFiles = Array.from(e.target.files);
  if (!allFiles.length) return;
  const files = allFiles.filter(f => f.name.endsWith('.csv'));
  if (files.length) {
    showFilePreview(files);
  } else {
    SM.showModal({ title: 'Format Tidak Sesuai', message: 'Hanya menerima file dataset dalam format <strong>.csv</strong>.', type: 'error' });
  }
});

function showFilePreview(files) {
  selectedFiles = files;
  
  const totalSize = files.reduce((acc, f) => acc + f.size, 0);
  
  if (files.length === 1) {
    window._uploadedFilename = files[0].name;
    document.getElementById('fileName').textContent = files[0].name;
  } else {
    window._uploadedFilename = `${files.length}_File_CSV_Gabungan.csv`;
    document.getElementById('fileName').textContent = `${files.length} File CSV Terpilih`;
  }
  
  document.getElementById('filePreview').style.display = 'flex';
  document.getElementById('fileMeta').textContent  = `${(totalSize/1024).toFixed(1)} KB`;
}

document.getElementById('btnCancel').addEventListener('click', () => {
  selectedFiles = [];
  csvInput.value = '';
  document.getElementById('filePreview').style.display = 'none';
});

document.getElementById('btnAnalyze').addEventListener('click', async () => {
  if (!selectedFiles || selectedFiles.length === 0) return;

  document.getElementById('filePreview').style.display   = 'none';
  document.getElementById('progressWrap').style.display  = 'block';

  const steps = ['Membaca file...','Parsing CSV...','Menjalankan Text Cleaning...',
    'Tokenisasi IndoBERT...','Klasifikasi Sentimen...','Menyimpan Hasil...','Selesai!'];

  let combinedText = '';
  for (let i = 0; i < selectedFiles.length; i++) {
    let t = await selectedFiles[i].text();
    // Untuk file kedua dan seterusnya, hapus baris pertama (header csv) agar tidak ikut terproses
    if (i > 0) {
      const firstNewline = t.indexOf('\\n');
      if (firstNewline !== -1) t = t.substring(firstNewline + 1);
    }
    // Gabungkan text, pastikan dipisah enter
    combinedText += t + (t.endsWith('\\n') ? '' : '\\n');
  }

  const text = combinedText;

  // Update progress UI step
  document.getElementById('progressStep').textContent = steps[0];

  // Run in next tick so UI updates first
  await new Promise(r => setTimeout(r, 30));

  let stepIdx = 0;
  function progress(done, total) {
    const pct = Math.round((done/total)*100);
    document.getElementById('progressBar').style.width  = pct + '%';
    document.getElementById('progressPct').textContent  = pct + '%';
    const si = Math.min(Math.floor((pct/100)*steps.length), steps.length-1);
    if (si !== stepIdx) { stepIdx = si; document.getElementById('progressStep').textContent = steps[si]; }
  }

  try {
    // processCSV is now async — calls IndoBERT API in batches
    const result = await SM.processCSV(text, progress);

    if (!result || !result.rows || !result.rows.length) {
      SM.showModal({
        title: 'Dataset Kosong',
        message: 'Tidak ada data teks yang ditemukan dalam file CSV tersebut.',
        type: 'error'
      });
      document.getElementById('progressWrap').style.display = 'none';
      document.getElementById('filePreview').style.display = 'flex';
      return;
    }

    const { rows, meta } = result;

    // Animate to 100%
    document.getElementById('progressBar').style.width  = '100%';
    document.getElementById('progressPct').textContent  = '100%';
    document.getElementById('progressStep').textContent = 'Selesai! Menyiapkan dashboard...';

    SM.saveData(rows, meta);

    // Show center success modal
    setTimeout(() => {
      SM.showModal({
        title: 'Analisis Selesai',
        message: `
          Berhasil memproses <strong>${SM.fmt(rows.length)}</strong> teks dengan model machine learning IndoBERT. Hasil analisis telah siap untuk ditinjau.
          <br><br>
          <span style="font-size:13.5px;color:var(--tx2);display:block;background:var(--bg-card2);padding:16px;border-radius:12px;text-align:left;line-height:1.5;">
            <strong>Peringatan Penting:</strong> Seluruh data sentimen dan riwayat file CSV Anda disimpan secara permanen di memori lokal (<em>Local Storage</em>) peramban web ini untuk menjamin privasi. <strong>Tolong jangan menghapus riwayat peramban atau <em>Cache / Clear Data</em></strong>, karena akan menyebabkan semua data di Riwayat Analisis hilang secara permanen.
          </span>
        `,
        type: 'success',
        onConfirm: () => { window.location.href = 'dashboard'; }
      });
    }, 400);

  } catch (err) {
    // Show error popup when IndoBERT model / API fails
    document.getElementById('progressWrap').style.display = 'none';
    document.getElementById('filePreview').style.display = 'flex';

    // Reset progress bar
    document.getElementById('progressBar').style.width = '0%';
    document.getElementById('progressPct').textContent = '0%';
    document.getElementById('progressStep').textContent = '';

    SM.showModal({
      title: 'Gagal Memproses Sentimen',
      message: `
        <strong>Model IndoBERT tidak dapat diakses.</strong><br><br>
        ${SM.esc(err.message || 'Terjadi kesalahan yang tidak diketahui.')}
        <br><br>
        <span style="font-size:13px;color:var(--tx2);display:block;background:var(--bg-card2);padding:14px;border-radius:10px;text-align:left;line-height:1.5;">
          <strong>Solusi:</strong><br>
          1. Pastikan server Python sudah berjalan (<code>python app.py</code>)<br>
          2. Pastikan model IndoBERT sudah terunduh dengan benar<br>
          3. Pastikan dependensi Python sudah terinstall (<code>pip install -r requirements.txt</code>)
        </span>
      `,
      type: 'error'
    });
  }
});

// ── Demo Data Trigger ──
const btnDemo = document.getElementById('btnDemoData');
if (btnDemo) {
  btnDemo.addEventListener('click', async () => {
    if (typeof window.DEMO_CSV === 'undefined') {
      SM.showToast('Data demo tidak tersedia.', 'error');
      return;
    }

    // Set demo filename for meta
    window._uploadedFilename = 'demo_300_tweets.csv';

    document.getElementById('filePreview').style.display   = 'none';
    document.getElementById('progressWrap').style.display  = 'block';

    const steps = ['Membaca data demo...', 'Parsing CSV...', 'Menjalankan Text Cleaning...',
      'Tokenisasi IndoBERT...', 'Klasifikasi Sentimen...', 'Menyimpan Hasil...', 'Selesai!'];

    document.getElementById('progressStep').textContent = steps[0];

    async function progress(done, total) {
      const pct = Math.round((done / total) * 100);
      document.getElementById('progressBar').style.width  = pct + '%';
      document.getElementById('progressPct').textContent  = pct + '%';
      const si = Math.min(Math.floor((pct / 100) * steps.length), steps.length - 1);
      document.getElementById('progressStep').textContent = steps[si];
    }

    try {
      const result = await SM.processCSV(window.DEMO_CSV, progress);
      const { rows, meta } = result;

      document.getElementById('progressBar').style.width  = '100%';
      document.getElementById('progressPct').textContent  = '100%';
      document.getElementById('progressStep').textContent = 'Selesai! Menyiapkan dashboard...';

      SM.saveData(rows, meta);

      setTimeout(() => {
        SM.showModal({
          title: 'Demo Selesai',
          message: `Berhasil memproses <strong>${rows.length}</strong> tweet demo dengan model IndoBERT. Lihat hasilnya di dashboard!`,
          type: 'success',
          onConfirm: () => { window.location.href = 'dashboard'; }
        });
      }, 400);
    } catch (err) {
      SM.showToast('Gagal memproses demo: ' + err.message, 'error');
      document.getElementById('progressWrap').style.display = 'none';
    }
  });
}