test-models.js

// 測試不同 Gemini 模型的可用性
// 在瀏覽器 Console 中運行

console.log('🔍 開始測試 Gemini 模型可用性...');

// 請在這裡輸入您的 API Key
const API_KEY = 'YOUR_API_KEY_HERE';

const models = [
  { name: 'gemini-1.5-flash', description: '最穩定' },
  { name: 'gemini-1.5-pro', description: '功能強大' },
  { name: 'gemini-2.5-flash', description: '最新版本' },
  { name: 'gemini-2.5-pro', description: '最高級版本' },
  { name: 'gemini-pro', description: '舊版本' }
];

async function testModel(modelName, apiKey) {
  const url = `https://generativelanguage.googleapis.com/v1beta/models/${modelName}:generateContent?key=${apiKey}`;
  
  const requestBody = {
    contents: [{
      parts: [{
        text: "請用繁體中文回覆「測試成功」"
      }]
    }],
    generationConfig: {
      temperature: 0.7,
      maxOutputTokens: 50
    }
  };

  try {
    console.log(`\n🧪 測試模型: ${modelName}`);
    
    const response = await fetch(url, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json'
      },
      body: JSON.stringify(requestBody)
    });

    console.log(`📊 狀態碼: ${response.status}`);

    if (response.ok) {
      const data = await response.json();
      
      if (data.candidates && data.candidates[0] && data.candidates[0].content) {
        const reply = data.candidates[0].content.parts[0].text;
        console.log(`✅ ${modelName} 成功! 回覆: ${reply}`);
        return { success: true, reply, model: modelName };
      } else {
        console.log(`❌ ${modelName} 回覆格式異常:`, data);
        return { success: false, error: '回覆格式異常', model: modelName };
      }
    } else {
      const errorText = await response.text();
      console.log(`❌ ${modelName} 失敗 (${response.status}):`, errorText);
      
      let errorType = '未知錯誤';
      if (response.status === 404) {
        errorType = '模型不存在或無權限';
      } else if (response.status === 403) {
        errorType = 'API Key 權限不足';
      } else if (response.status === 400) {
        errorType = '請求格式錯誤';
      }
      
      return { success: false, error: errorType, model: modelName };
    }
  } catch (error) {
    console.log(`❌ ${modelName} 網路錯誤:`, error.message);
    return { success: false, error: `網路錯誤: ${error.message}`, model: modelName };
  }
}

async function testAllModels() {
  if (API_KEY === 'YOUR_API_KEY_HERE' || !API_KEY) {
    console.log('❌ 請先設定您的 API Key');
    console.log('請修改腳本開頭的 API_KEY 變數');
    return;
  }

  console.log('🚀 開始測試所有模型...\n');
  
  const results = [];
  
  for (const model of models) {
    const result = await testModel(model.name, API_KEY);
    results.push({ ...result, description: model.description });
    
    // 避免請求過於頻繁
    await new Promise(resolve => setTimeout(resolve, 1000));
  }

  console.log('\n📊 測試結果總結:');
  console.log('=' .repeat(50));
  
  const successful = results.filter(r => r.success);
  const failed = results.filter(r => !r.success);
  
  if (successful.length > 0) {
    console.log(`\n✅ 可用模型 (${successful.length}):`);
    successful.forEach(r => {
      console.log(`   🟢 ${r.model} - ${r.description}`);
      console.log(`      回覆: "${r.reply}"`);
    });
  }
  
  if (failed.length > 0) {
    console.log(`\n❌ 不可用模型 (${failed.length}):`);
    failed.forEach(r => {
      console.log(`   🔴 ${r.model} - ${r.description}`);
      console.log(`      錯誤: ${r.error}`);
    });
  }

  console.log('\n💡 建議:');
  if (successful.length > 0) {
    const recommended = successful[0];
    console.log(`✅ 建議使用: ${recommended.model} (${recommended.description})`);
  } else {
    console.log('❌ 沒有可用的模型，請檢查:');
    console.log('   1. API Key 是否正確');
    console.log('   2. Google Cloud Console 中是否啟用了 Generative Language API');
    console.log('   3. 網路連接是否正常');
  }

  return results;
}

// 自動開始測試
if (API_KEY !== 'YOUR_API_KEY_HERE' && API_KEY) {
  testAllModels();
} else {
  console.log('⚠️ 請設定 API Key 後執行 testAllModels()');
}

// 導出函數供手動使用
window.geminiModelTest = {
  testAllModels,
  testModel,
  models
};

console.log('\n📋 測試工具已載入!');
console.log('💡 設定 API Key 後會自動開始測試');
console.log('💡 或手動執行: geminiModelTest.testAllModels()');