From 033b7509d7f864b3dc2ecdf3cad19425ce9a3c36 Mon Sep 17 00:00:00 2001
From: hubian <908234780@qq.com>
Date: Mon, 13 Apr 2026 16:56:43 +0800
Subject: [PATCH] =?UTF-8?q?feat:=20AI=E8=87=AA=E5=8A=A8=E6=B7=BB=E5=8A=A0?=
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Content-Type: text/plain; charset=UTF-8
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---
 xian_favor/api.py | 206 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 206 insertions(+)

diff --git a/xian_favor/api.py b/xian_favor/api.py
index 536e3a7..3395156 100644
--- a/xian_favor/api.py
+++ b/xian_favor/api.py
@@ -164,6 +164,82 @@ def get_stats():
     return jsonify({'success': True, 'data': stats})
 
 
+@app.route('/api/ai-process', methods=['POST'])
+def ai_process():
+    """AI处理文本"""
+    import requests
+    
+    data = request.get_json()
+    text = data.get('text', '').strip()
+    
+    if not text:
+        return jsonify({'success': False, 'error': '请输入文本内容'}), 400
+    
+    # 大模型配置
+    llm_url = "http://192.168.2.17:19007/v1/chat/completions"
+    llm_key = "xxxx"
+    
+    prompt = f"""请分析以下文本内容，识别其类型并提取关键信息。
+
+文本内容：
+{text}
+
+请按以下JSON格式返回结果（只返回JSON，不要其他内容）：
+{
+  "type": "text/link/column/todo",
+  "title": "提取的标题（简短概括）",
+  "content": "主要内容（如果是文本类型）",
+  "url": "如果是链接或专栏，提取URL",
+  "source": "如果是专栏，提取来源",
+  "tags": ["相关标签1", "标签2"],
+  "note": "补充说明或备注",
+  "status": "如果是待办，默认pending",
+  "priority": "如果是待办，默认medium"
+}
+
+类型判断规则：
+- link: 包含http/https链接，且不是专栏订阅地址
+- column: 专栏订阅地址或RSS链接
+- todo: 包含任务、待办、提醒等关键词
+- text: 其他文本内容"""
+
+    try:
+        response = requests.post(
+            llm_url,
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {llm_key}"
+            },
+            json={
+                "model": "auto",
+                "messages": [{"role": "user", "content": prompt}],
+                "temperature": 0.3
+            },
+            timeout=30
+        )
+        
+        if response.status_code != 200:
+            return jsonify({'success': False, 'error': f'模型调用失败: {response.status_code}'}), 500
+        
+        result = response.json()
+        content = result['choices'][0]['message']['content']
+        
+        # 解析JSON
+        import json
+        import re
+        
+        # 提取JSON部分
+        json_match = re.search(r'\{.*\}', content, re.DOTALL)
+        if json_match:
+            parsed = json.loads(json_match.group())
+            return jsonify({'success': True, 'data': parsed})
+        else:
+            return jsonify({'success': False, 'error': '无法解析模型返回'}), 500
+            
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
 @app.route('/api/search', methods=['GET'])
 def search_items():
     """搜索条目"""
@@ -263,6 +339,9 @@ INDEX_TEMPLATE = '''
                         <option value="todo">待办</option>
                     </select>
                 </div>
+                <button class="btn btn-outline-info me-2" onclick="showAIAddModal()" title="AI自动添加">
+                    <i class="bi bi-robot"></i> AI添加
+                </button>
                 <button class="btn btn-outline-success me-2" onclick="exportData()" title="导出JSON">
                     <i class="bi bi-download"></i> 导出
                 </button>
@@ -533,6 +612,44 @@ INDEX_TEMPLATE = '''
     </div>
 </div>
 
+<!-- AI自动添加模态框 -->
+<div class="modal fade" id="aiAddModal" tabindex="-1">
+    <div class="modal-dialog modal-lg">
+        <div class="modal-content">
+            <div class="modal-header">
+                <h5 class="modal-title"><i class="bi bi-robot"></i> AI自动添加</h5>
+                <button type="button" class="btn-close" data-bs-dismiss="modal"></button>
+            </div>
+            <div class="modal-body">
+                <div class="mb-3">
+                    <label class="form-label">输入文本内容</label>
+                    <textarea id="aiInputText" class="form-control" rows="6" placeholder="粘贴文本、链接、笔记等，AI会自动识别并整理..."></textarea>
+                </div>
+                <div id="aiResult" style="display:none;">
+                    <hr>
+                    <h6>识别结果：</h6>
+                    <div id="aiResultContent" class="border rounded p-3 bg-light"></div>
+                </div>
+                <div id="aiLoading" style="display:none;">
+                    <div class="text-center py-3">
+                        <div class="spinner-border text-primary" role="status"></div>
+                        <div class="mt-2">AI正在分析...</div>
+                    </div>
+                </div>
+            </div>
+            <div class="modal-footer">
+                <button type="button" class="btn btn-secondary" data-bs-dismiss="modal">取消</button>
+                <button type="button" class="btn btn-primary" id="aiProcessBtn" onclick="processAIInput()">
+                    <i class="bi bi-magic"></i> 分析并添加
+                </button>
+                <button type="button" class="btn btn-success" id="aiConfirmBtn" style="display:none;" onclick="confirmAIAdd()">
+                    <i class="bi bi-check"></i> 确认添加
+                </button>
+            </div>
+        </div>
+    </div>
+</div>
+
 <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
 <script>
 const API_BASE = '/api';
@@ -1132,6 +1249,95 @@ async function exportData() {
     URL.revokeObjectURL(url);
 }
 
+// AI自动添加
+let aiParsedData = null;
+
+function showAIAddModal() {
+    document.getElementById('aiInputText').value = '';
+    document.getElementById('aiResult').style.display = 'none';
+    document.getElementById('aiLoading').style.display = 'none';
+    document.getElementById('aiProcessBtn').style.display = 'inline-block';
+    document.getElementById('aiConfirmBtn').style.display = 'none';
+    aiParsedData = null;
+    new bootstrap.Modal(document.getElementById('aiAddModal')).show();
+}
+
+async function processAIInput() {
+    const text = document.getElementById('aiInputText').value.trim();
+    if (!text) {
+        alert('请输入文本内容');
+        return;
+    }
+    
+    // 显示加载
+    document.getElementById('aiLoading').style.display = 'block';
+    document.getElementById('aiProcessBtn').disabled = true;
+    
+    try {
+        const res = await fetch(`${API_BASE}/ai-process`, {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({ text })
+        });
+        
+        const data = await res.json();
+        
+        document.getElementById('aiLoading').style.display = 'none';
+        document.getElementById('aiProcessBtn').disabled = false;
+        
+        if (!data.success) {
+            alert('AI分析失败: ' + data.error);
+            return;
+        }
+        
+        aiParsedData = data.data;
+        
+        // 显示结果
+        const typeLabels = { text: '📝 文本', link: '🔗 链接', column: '📰 专栏', todo: '✅ 待办' };
+        let html = `<div><strong>类型:</strong> ${typeLabels[aiParsedData.type] || aiParsedData.type}</div>`;
+        if (aiParsedData.title) html += `<div><strong>标题:</strong> ${aiParsedData.title}</div>`;
+        if (aiParsedData.url) html += `<div><strong>URL:</strong> ${aiParsedData.url}</div>`;
+        if (aiParsedData.content) html += `<div><strong>内容:</strong> ${aiParsedData.content.substring(0, 200)}${aiParsedData.content.length > 200 ? '...' : ''}</div>`;
+        if (aiParsedData.tags && aiParsedData.tags.length) html += `<div><strong>标签:</strong> ${aiParsedData.tags.join(', ')}</div>`;
+        if (aiParsedData.note) html += `<div><strong>备注:</strong> ${aiParsedData.note.substring(0, 100)}${aiParsedData.note.length > 100 ? '...' : ''}</div>`;
+        if (aiParsedData.type === 'todo') {
+            const statusLabels = { pending: '⏳ 待处理', in_progress: '🔄 进行中', completed: '✅ 已完成' };
+            const priorityLabels = { low: '🟢 低', medium: '🟡 中', high: '🟠 高', urgent: '🔴 紧急' };
+            html += `<div><strong>状态:</strong> ${statusLabels[aiParsedData.status] || 'pending'}</div>`;
+            html += `<div><strong>优先级:</strong> ${priorityLabels[aiParsedData.priority] || 'medium'}</div>`;
+        }
+        
+        document.getElementById('aiResultContent').innerHTML = html;
+        document.getElementById('aiResult').style.display = 'block';
+        document.getElementById('aiProcessBtn').style.display = 'none';
+        document.getElementById('aiConfirmBtn').style.display = 'inline-block';
+        
+    } catch (e) {
+        document.getElementById('aiLoading').style.display = 'none';
+        document.getElementById('aiProcessBtn').disabled = false;
+        alert('请求失败: ' + e.message);
+    }
+}
+
+async function confirmAIAdd() {
+    if (!aiParsedData) return;
+    
+    const res = await fetch(`${API_BASE}/items`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify(aiParsedData)
+    });
+    
+    if (res.ok) {
+        bootstrap.Modal.getInstance(document.getElementById('aiAddModal')).hide();
+        refreshData();
+        alert('添加成功!');
+    } else {
+        const data = await res.json();
+        alert('添加失败: ' + data.error);
+    }
+}
+
 function debounce(fn, delay) {
     let timer;
     return function(...args) {