script.js

document.addEventListener('DOMContentLoaded', () => {
  // ─────────────────────────────────────────────────────────────────────────
  // 1. 文字分析相關元素
  const inputTextArea = document.getElementById('predict_info');
  const inputButton = document.getElementById('detect_button');
  const clearButton = document.getElementById('clear_button');
  const normalOrScam = document.getElementById('is_scam');
  const confidenceScoreSpan = document.getElementById('confidence_score');
  const suspiciousPhrasesDiv = document.getElementById('suspicious_phrases');
  const feedbackArea = document.getElementById('feedback_area');
  const feedbackCorrectBtn = document.getElementById('feedback_correct');
  const feedbackWrongBtn = document.getElementById('feedback_wrong');
  const feedbackStatus = document.getElementById('feedback_status');
  let lastPrediction = null;

  const TEXT_API = '/predict';
  const FEEDBACK_API = '/feedback';

  // 文字檢測：當按「檢測！」時觸發
  inputButton.addEventListener('click', async () => {
    const message = inputTextArea.value.trim();
    if (!message) {
      alert('請輸入您想檢測的訊息內容。');
      return;
    }
    // 顯示 loading
    normalOrScam.textContent = '檢測中...'; 
    normalOrScam.style.color = 'gray';
    confidenceScoreSpan.textContent = '計算中...';
    suspiciousPhrasesDiv.innerHTML = '<p>正在分析訊息，請稍候...</p>';
    feedbackArea.style.display = 'none';
    feedbackStatus.textContent = '';
    feedbackCorrectBtn.style.display = 'inline-block';
    feedbackWrongBtn.style.display = 'inline-block';

    try {
      const res = await fetch(TEXT_API, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ text: message })
      });
      if (!res.ok) throw new Error(`伺服器錯誤: ${res.status}`);
      const data = await res.json();
      // 更新文字分析結果
      normalOrScam.textContent = data.status;
      confidenceScoreSpan.textContent = data.confidence + '%';
      // 可疑詞句
      suspiciousPhrasesDiv.innerHTML = '';
      if (Array.isArray(data.suspicious_keywords) && data.suspicious_keywords.length) {
        const ul = document.createElement('ul');
        data.suspicious_keywords.forEach(kw => {
          const li = document.createElement('li');
          li.textContent = kw;
          ul.appendChild(li);
        });
        suspiciousPhrasesDiv.appendChild(ul);
      } else {
        suspiciousPhrasesDiv.innerHTML = '<p>沒有偵測到可疑詞句。</p>';
      }
      // 顯示回饋區
      feedbackArea.style.display = 'block';
      lastPrediction = { text: message, model_status: data.status };
    } catch (err) {
      console.error('文字檢測失敗:', err);
      alert(`文字檢測失敗，請檢查後端。\n錯誤：${err.message}`);
      // 還原預設文字區
      normalOrScam.textContent = '待檢測';
      normalOrScam.style.color = 'inherit';
      confidenceScoreSpan.textContent = '待檢測';
      suspiciousPhrasesDiv.innerHTML = '<p>請輸入訊息並點擊「檢測！」按鈕。</p>';
    }
  });

  // 「清除」按鈕：清空文字、圖片結果
  clearButton.addEventListener('click', () => {
    inputTextArea.value = '';
    // 清空文字檢測結果
    normalOrScam.textContent = '待檢測';
    normalOrScam.style.color = 'inherit';
    confidenceScoreSpan.textContent = '待檢測';
    suspiciousPhrasesDiv.innerHTML = '<p>請輸入訊息並點擊「檢測！」按鈕。</p>';
    feedbackArea.style.display = 'none';
    feedbackStatus.textContent = '';

    // 清空圖片OCR結果
    extractedTextSpan.textContent = '尚未上傳圖片';
    imgIsScamSpan.textContent = '尚未上傳圖片';
    imgConfidenceSpan.textContent = '尚未上傳圖片';
    imgSuspiciousDiv.innerHTML = '<p>尚未上傳圖片。</p>';
    imageUpload.value = '';
  });

  // 使用者回饋
  feedbackCorrectBtn.addEventListener('click', () => submitFeedback('正確'));
  feedbackWrongBtn.addEventListener('click', () => submitFeedback('錯誤'));

  async function submitFeedback(user_feedback) {
    if (!lastPrediction) return;
    const payload = { ...lastPrediction, user_feedback };
    try {
      const r = await fetch(FEEDBACK_API, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(payload)
      });
      await r.json();
      feedbackStatus.textContent = '✅ 感謝您的回饋！';
      feedbackCorrectBtn.style.display = 'none';
      feedbackWrongBtn.style.display = 'none';
    } catch (e) {
      feedbackStatus.textContent = '❌ 回饋提交失敗';
    }
  }
  // ─────────────────────────────────────────────────────────────────────────


  // ─────────────────────────────────────────────────────────────────────────
  // 2. 圖片OCR相關元素
  const imageUpload = document.getElementById('image_upload');
  const imageButton = document.getElementById('image_button');
  const extractedTextSpan = document.getElementById('extracted_text');
  const imgIsScamSpan = document.getElementById('img_is_scam');
  const imgConfidenceSpan = document.getElementById('img_confidence');
  const imgSuspiciousDiv = document.getElementById('img_suspicious_phrases');

  const IMAGE_API = '/analyze-image';

  imageButton.addEventListener('click', async () => {
    // 確認 user 已經選擇檔案
    if (!imageUpload.files.length) {
      alert('請先選擇一個圖片檔案。');
      return;
    }

    // 顯示 Loading
    extractedTextSpan.textContent = '辨識中...';
    imgIsScamSpan.textContent = '辨識中...';
    imgConfidenceSpan.textContent = '辨識中...';
    imgSuspiciousDiv.innerHTML = '<p>正在分析圖片，請稍候...</p>';

    // 建立 FormData，append 檔案
    const formData = new FormData();
    formData.append('file', imageUpload.files[0]);

    try {
      const resp = await fetch(IMAGE_API, {
        method: 'POST',
        body: formData
      });
      if (!resp.ok) throw new Error(`伺服器錯誤: ${resp.status}`);
      const data = await resp.json();

      // 此 data 格式：{ extracted_text: "...", analysis_result: { status, confidence, suspicious_keywords } }
      const extracted = data.extracted_text || '';
      const result = data.analysis_result || {};

      // 更新前端OCR結果
      extractedTextSpan.textContent = extracted || '(無文字)';
      imgIsScamSpan.textContent = result.status || '(無法辨識)';
      imgConfidenceSpan.textContent = (result.confidence !== undefined)
        ? result.confidence + '%'
        : '(無法辨識)';
      imgSuspiciousDiv.innerHTML = '';
      if (Array.isArray(result.suspicious_keywords) && result.suspicious_keywords.length) {
        const ul2 = document.createElement('ul');
        result.suspicious_keywords.forEach(kw => {
          const li2 = document.createElement('li');
          li2.textContent = kw;
          ul2.appendChild(li2);
        });
        imgSuspiciousDiv.appendChild(ul2);
      } else {
        imgSuspiciousDiv.innerHTML = '<p>無可疑詞句。</p>';
      }
    } catch (err) {
      console.error('圖片辨識失敗:', err);
      extractedTextSpan.textContent = '(圖片辨識失敗)';
      imgIsScamSpan.textContent = '(失敗)';
      imgConfidenceSpan.textContent = '0%';
      imgSuspiciousDiv.innerHTML = `<p style="color:red;">❌ ${err.message}</p>`;
    }
  });
  // ─────────────────────────────────────────────────────────────────────────
});