feat: 智能补充参数功能 - 编辑已有产品时上传图片/文本补充缺失字段

app.py

@@ -523,6 +523,168 @@ def api_parse_images():
 
 # ============ 智能添加API ============
 
+# ============ 智能补充参数API ============
+
+@app.route('/api/models/<model_id>/smart-update', methods=['POST'])
+def api_smart_update_model(model_id):
+    """智能补充模型参数（只填充缺失字段）"""
+    data = request.get_json()
+    text = data.get('text', '')
+    images = data.get('images', [])
+    
+    if not text and not images:
+        return jsonify({'error': '文本或图片不能都为空'}), 400
+    
+    # 获取现有数据
+    models = load_data(MODELS_FILE)
+    model = next((m for m in models if m['id'] == model_id), None)
+    if not model:
+        return jsonify({'error': 'Model not found'}), 404
+    
+    # 解析新参数
+    parsed_list = parse_with_llm(text, 'model', images)
+    if not parsed_list:
+        return jsonify({'error': '解析失败'}), 500
+    
+    parsed = parsed_list[0]  # 补充只取第一个
+    
+    # 只填充缺失或为空的字段
+    updated_fields = []
+    for key, value in parsed.items():
+        if value is not None and value != '' and value != 0:
+            existing = model.get(key)
+            if existing is None or existing == '' or existing == 0:
+                model[key] = value
+                updated_fields.append(key)
+    
+    model['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    model['raw_text'] = model.get('raw_text', '') + '\n' + text if text else model.get('raw_text', '')
+    if images:
+        existing_images = model.get('images', [])
+        model['images'] = existing_images + images
+    
+    save_data(MODELS_FILE, models)
+    
+    return jsonify({'success': True, 'updated_fields': updated_fields, 'model': model})
+
+@app.route('/api/gpus/<gpu_id>/smart-update', methods=['POST'])
+def api_smart_update_gpu(gpu_id):
+    """智能补充GPU参数（只填充缺失字段）"""
+    data = request.get_json()
+    text = data.get('text', '')
+    images = data.get('images', [])
+    
+    if not text and not images:
+        return jsonify({'error': '文本或图片不能都为空'}), 400
+    
+    gpus = load_data(GPUS_FILE)
+    gpu = next((g for g in gpus if g['id'] == gpu_id), None)
+    if not gpu:
+        return jsonify({'error': 'GPU not found'}), 404
+    
+    parsed_list = parse_with_llm(text, 'gpu', images)
+    if not parsed_list:
+        return jsonify({'error': '解析失败'}), 500
+    
+    parsed = parsed_list[0]
+    
+    updated_fields = []
+    for key, value in parsed.items():
+        if value is not None and value != '' and value != 0:
+            existing = gpu.get(key)
+            if existing is None or existing == '' or existing == 0:
+                gpu[key] = value
+                updated_fields.append(key)
+    
+    gpu['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    gpu['raw_text'] = gpu.get('raw_text', '') + '\n' + text if text else gpu.get('raw_text', '')
+    if images:
+        existing_images = gpu.get('images', [])
+        gpu['images'] = existing_images + images
+    
+    save_data(GPUS_FILE, gpus)
+    
+    return jsonify({'success': True, 'updated_fields': updated_fields, 'gpu': gpu})
+
+@app.route('/api/cpus/<cpu_id>/smart-update', methods=['POST'])
+def api_smart_update_cpu(cpu_id):
+    """智能补充CPU参数（只填充缺失字段）"""
+    data = request.get_json()
+    text = data.get('text', '')
+    images = data.get('images', [])
+    
+    if not text and not images:
+        return jsonify({'error': '文本或图片不能都为空'}), 400
+    
+    cpus = load_data(CPUS_FILE)
+    cpu = next((c for c in cpus if c['id'] == cpu_id), None)
+    if not cpu:
+        return jsonify({'error': 'CPU not found'}), 404
+    
+    parsed_list = parse_with_llm(text, 'cpu', images)
+    if not parsed_list:
+        return jsonify({'error': '解析失败'}), 500
+    
+    parsed = parsed_list[0]
+    
+    updated_fields = []
+    for key, value in parsed.items():
+        if value is not None and value != '' and value != 0:
+            existing = cpu.get(key)
+            if existing is None or existing == '' or existing == 0:
+                cpu[key] = value
+                updated_fields.append(key)
+    
+    cpu['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    cpu['raw_text'] = cpu.get('raw_text', '') + '\n' + text if text else cpu.get('raw_text', '')
+    if images:
+        existing_images = cpu.get('images', [])
+        cpu['images'] = existing_images + images
+    
+    save_data(CPUS_FILE, cpus)
+    
+    return jsonify({'success': True, 'updated_fields': updated_fields, 'cpu': cpu})
+
+@app.route('/api/items/<category_id>/<item_id>/smart-update', methods=['POST'])
+def api_smart_update_item(category_id, item_id):
+    """智能补充动态分类数据参数（只填充缺失字段）"""
+    data = request.get_json()
+    text = data.get('text', '')
+    images = data.get('images', [])
+    
+    if not text and not images:
+        return jsonify({'error': '文本或图片不能都为空'}), 400
+    
+    items_file = DATA_DIR / f'items_{category_id}.json'
+    items = load_data(items_file)
+    item = next((i for i in items if i['id'] == item_id), None)
+    if not item:
+        return jsonify({'error': 'Item not found'}), 404
+    
+    parsed_list = parse_with_llm(text, 'dynamic', images)
+    if not parsed_list:
+        return jsonify({'error': '解析失败'}), 500
+    
+    parsed = parsed_list[0]
+    
+    updated_fields = []
+    for key, value in parsed.items():
+        if value is not None and value != '' and value != 0:
+            existing = item.get(key)
+            if existing is None or existing == '' or existing == 0:
+                item[key] = value
+                updated_fields.append(key)
+    
+    item['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    item['raw_text'] = item.get('raw_text', '') + '\n' + text if text else item.get('raw_text', '')
+    if images:
+        existing_images = item.get('images', [])
+        item['images'] = existing_images + images
+    
+    save_data(items_file, items)
+    
+    return jsonify({'success': True, 'updated_fields': updated_fields, 'item': item})
+
 @app.route('/api/models/smart-add', methods=['POST'])
 def api_smart_add_model():
     """智能添加模型（支持文本和多图解析，可能添加多个产品）"""