feat: 新增崗位描述與清單整合功能 v2.1

主要功能更新:
- 崗位描述保存功能：保存後資料寫入資料庫
- 崗位清單自動刷新：切換模組時自動載入最新資料
- 崗位清單檢視功能：點擊「檢視」按鈕載入對應描述
- 管理者頁面擴充：新增崗位資料管理與匯出功能
- CSV 批次匯入：支援崗位與職務資料批次匯入

後端 API 新增:
- Position Description CRUD APIs
- Position List Query & Export APIs
- CSV Template Download & Import APIs

文件更新:
- SDD.md 更新至版本 2.1
- README.md 更新功能說明與版本歷史

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

app_llm_endpoints.py

@@ -0,0 +1,159 @@
+"""
+LLM API endpoints to be added to app.py
+Add these imports at the top and routes before the error handlers
+"""
+
+# ==================== ADD THIS IMPORT AT THE TOP ====================
+# from llm_config import LLMConfig
+# llm_config = LLMConfig()
+
+# ==================== ADD THESE ROUTES BEFORE ERROR HANDLERS ====================
+
+@app.route('/api/llm/config', methods=['GET'])
+def get_llm_config():
+    """獲取 LLM API 配置狀態"""
+    try:
+        config_data = {}
+        for api_name, api_config in llm_config.apis.items():
+            config_data[api_name] = {
+                'name': api_config['name'],
+                'enabled': api_config['enabled'],
+                'endpoint': api_config['endpoint'],
+                'api_key': api_config['api_key'][:8] + '...' if api_config['api_key'] else ''
+            }
+
+        return jsonify(config_data)
+    except Exception as e:
+        return jsonify({
+            'success': False,
+            'error': f'獲取配置失敗: {str(e)}'
+        }), 500
+
+
+@app.route('/api/llm/test/<api_name>', methods=['GET'])
+def test_llm_api(api_name):
+    """測試單個 LLM API 連線"""
+    try:
+        if api_name not in llm_config.apis:
+            return jsonify({
+                'success': False,
+                'message': f'不支援的 API: {api_name}'
+            }), 400
+
+        # 執行連線測試
+        if api_name == 'gemini':
+            success, message = llm_config.test_gemini_connection()
+        elif api_name == 'deepseek':
+            success, message = llm_config.test_deepseek_connection()
+        elif api_name == 'openai':
+            success, message = llm_config.test_openai_connection()
+        else:
+            return jsonify({
+                'success': False,
+                'message': f'未實作的 API: {api_name}'
+            }), 400
+
+        return jsonify({
+            'success': success,
+            'message': message
+        })
+
+    except Exception as e:
+        return jsonify({
+            'success': False,
+            'message': f'測試失敗: {str(e)}'
+        }), 500
+
+
+@app.route('/api/llm/test-all', methods=['GET'])
+def test_all_llm_apis():
+    """測試所有已配置的 LLM API"""
+    try:
+        results = llm_config.test_all_connections()
+
+        response = {}
+        for api_name, (success, message) in results.items():
+            response[api_name] = {
+                'success': success,
+                'message': message
+            }
+
+        return jsonify({
+            'success': True,
+            'results': response
+        })
+
+    except Exception as e:
+        return jsonify({
+            'success': False,
+            'error': f'測試失敗: {str(e)}'
+        }), 500
+
+
+@app.route('/api/llm/generate', methods=['POST'])
+def generate_llm_text():
+    """
+    使用 LLM API 生成文字
+    Request body: {
+        "api": "gemini" | "deepseek" | "openai",
+        "prompt": "提示詞",
+        "max_tokens": 2000
+    }
+    """
+    try:
+        data = request.get_json()
+
+        if not data:
+            return jsonify({
+                'success': False,
+                'error': '請提供有效的 JSON 資料'
+            }), 400
+
+        api_name = data.get('api', 'gemini')
+        prompt = data.get('prompt', '')
+        max_tokens = data.get('max_tokens', 2000)
+
+        if not prompt:
+            return jsonify({
+                'success': False,
+                'error': '請提供提示詞'
+            }), 400
+
+        # 執行文字生成
+        if api_name == 'gemini':
+            success, result = llm_config.generate_text_gemini(prompt, max_tokens)
+        elif api_name == 'deepseek':
+            success, result = llm_config.generate_text_deepseek(prompt, max_tokens)
+        elif api_name == 'openai':
+            model = data.get('model', 'gpt-3.5-turbo')
+            success, result = llm_config.generate_text_openai(prompt, model, max_tokens)
+        else:
+            return jsonify({
+                'success': False,
+                'error': f'不支援的 API: {api_name}'
+            }), 400
+
+        if success:
+            return jsonify({
+                'success': True,
+                'text': result
+            })
+        else:
+            return jsonify({
+                'success': False,
+                'error': result
+            }), 500
+
+    except Exception as e:
+        return jsonify({
+            'success': False,
+            'error': f'生成失敗: {str(e)}'
+        }), 500
+
+
+# ==================== ADD ROUTE FOR API TEST PAGE ====================
+
+@app.route('/api-test')
+def api_test_page():
+    """返回 API 測試頁面"""
+    return send_from_directory('.', 'api_test.html')