modules/agent_builder/routes.py

# modules/agent_builder/routes.py
from flask import Blueprint, request, jsonify
import os
import json
import time
import uuid
import requests
from config import STREAM_API_KEY, STREAM_BASE_URL, DEFAULT_MODEL

agent_builder_bp = Blueprint('agent_builder', __name__)

# 数据持久化目录（HuggingFace Spaces 用 /data，本地开发用当前目录）
DATA_DIR = os.getenv("DATA_DIR", ".")
AGENTS_DIR = os.path.join(DATA_DIR, "agents")
os.makedirs(AGENTS_DIR, exist_ok=True)

@agent_builder_bp.route('/create', methods=['POST'])
def create_agent():
    """创建新的Agent"""
    try:
        data = request.json
        print(f"[DEBUG] 收到创建Agent请求，数据: {json.dumps(data, ensure_ascii=False)}")

        name = data.get('name')
        description = data.get('description', '')
        subject = data.get('subject', name)  # 默认使用名称作为学科
        instructor = data.get('instructor', '教师')  # 默认使用教师作为指导者
        agent_type = data.get('type', 'general')  # Agent类型
        plugins = data.get('plugins', [])
        # 支持驼峰命名和下划线命名
        knowledge_bases = data.get('knowledgeBases') or data.get('knowledge_bases', [])
        workflow = data.get('workflow')

        print(f"[DEBUG] 解析后参数 - name: {name}, type: {agent_type}, plugins: {plugins}, knowledge_bases: {knowledge_bases}")

        if not name:
            print("[DEBUG] 错误：Agent名称为空")
            return jsonify({
                "success": False,
                "message": "Agent名称不能为空"
            }), 400
        
        # 创建Agent ID
        agent_id = f"agent_{uuid.uuid4().hex[:8]}_{int(time.time())}"
        
        # 构建Agent配置
        agent_config = {
            "id": agent_id,
            "name": name,
            "description": description,
            "subject": subject,  # 添加学科
            "instructor": instructor,  # 添加指导者
            "type": agent_type,  # Agent类型
            "created_at": int(time.time()),
            "plugins": plugins,
            "knowledge_bases": knowledge_bases,
            "workflow": workflow or {
                "nodes": [],
                "edges": []
            },
            "distributions": [],
            "stats": {
                "usage_count": 0,
                "last_used": None
            }
        }
        
        # 保存Agent配置
        with open(os.path.join(AGENTS_DIR, f"{agent_id}.json"), 'w', encoding='utf-8') as f:
            json.dump(agent_config, f, ensure_ascii=False, indent=2)
        
        return jsonify({
            "success": True,
            "agent_id": agent_id,
            "message": f"Agent '{name}' 创建成功"
        })
        
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({
            "success": False,
            "message": str(e)
        }), 500

@agent_builder_bp.route('/list', methods=['GET'])
def list_agents():
    """获取所有Agent列表"""
    try:
        agents = []
        
        for filename in os.listdir(AGENTS_DIR):
            if filename.endswith('.json'):
                with open(os.path.join(AGENTS_DIR, filename), 'r', encoding='utf-8') as f:
                    agent_config = json.load(f)
                    
                    # 简化版本，只返回关键信息
                    agents.append({
                        "id": agent_config.get("id"),
                        "name": agent_config.get("name"),
                        "description": agent_config.get("description"),
                        "subject": agent_config.get("subject", agent_config.get("name")),
                        "instructor": agent_config.get("instructor", "教师"),
                        "type": agent_config.get("type", "general"),
                        "created_at": agent_config.get("created_at"),
                        "plugins": agent_config.get("plugins", []),
                        "knowledge_bases": agent_config.get("knowledge_bases", []),
                        "usage_count": agent_config.get("stats", {}).get("usage_count", 0),
                        "distribution_count": len(agent_config.get("distributions", []))
                    })
        
        # 按创建时间排序
        agents.sort(key=lambda x: x.get("created_at", 0), reverse=True)

        return jsonify({
            "success": True,
            "data": agents  # 使用 "data" 字段以保持一致性
        })
        
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({
            "success": False,
            "message": str(e)
        }), 500

@agent_builder_bp.route('/<agent_id>', methods=['GET'])
def get_agent(agent_id):
    """获取特定Agent的配置"""
    try:
        agent_path = os.path.join(AGENTS_DIR, f"{agent_id}.json")
        
        if not os.path.exists(agent_path):
            return jsonify({
                "success": False,
                "message": "Agent不存在"
            }), 404
        
        with open(agent_path, 'r', encoding='utf-8') as f:
            agent_config = json.load(f)

        return jsonify({
            "success": True,
            "data": agent_config  # 使用 "data" 字段以保持一致性
        })
        
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({
            "success": False,
            "message": str(e)
        }), 500

@agent_builder_bp.route('/<agent_id>', methods=['PUT'])
def update_agent(agent_id):
    """更新Agent配置"""
    try:
        data = request.json
        agent_path = os.path.join(AGENTS_DIR, f"{agent_id}.json")
        
        if not os.path.exists(agent_path):
            return jsonify({
                "success": False,
                "message": "Agent不存在"
            }), 404
        
        # 读取现有配置
        with open(agent_path, 'r', encoding='utf-8') as f:
            agent_config = json.load(f)
        
        # 更新允许的字段
        if 'name' in data:
            agent_config['name'] = data['name']
        
        if 'description' in data:
            agent_config['description'] = data['description']
        
        if 'plugins' in data:
            agent_config['plugins'] = data['plugins']
        
        if 'knowledge_bases' in data:
            agent_config['knowledge_bases'] = data['knowledge_bases']
        
        if 'workflow' in data:
            agent_config['workflow'] = data['workflow']
        
        # 添加更新时间
        agent_config['updated_at'] = int(time.time())
        
        # 保存更新后的配置
        with open(agent_path, 'w', encoding='utf-8') as f:
            json.dump(agent_config, f, ensure_ascii=False, indent=2)
        
        return jsonify({
            "success": True,
            "message": "Agent更新成功"
        })
        
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({
            "success": False,
            "message": str(e)
        }), 500

@agent_builder_bp.route('/<agent_id>', methods=['DELETE'])
def delete_agent(agent_id):
    """删除Agent"""
    try:
        agent_path = os.path.join(AGENTS_DIR, f"{agent_id}.json")
        
        if not os.path.exists(agent_path):
            return jsonify({
                "success": False,
                "message": "Agent不存在"
            }), 404
        
        # 删除Agent配置文件
        os.remove(agent_path)
        
        return jsonify({
            "success": True,
            "message": "Agent删除成功"
        })
        
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({
            "success": False,
            "message": str(e)
        }), 500

@agent_builder_bp.route('/<agent_id>/distribute', methods=['POST'])
def distribute_agent(agent_id):
    """为Agent创建分发链接"""
    try:
        data = request.json
        expires_in = data.get('expires_in', 0)  # 0表示永不过期
        
        agent_path = os.path.join(AGENTS_DIR, f"{agent_id}.json")
        
        if not os.path.exists(agent_path):
            return jsonify({
                "success": False,
                "message": "Agent不存在"
            }), 404
        
        # 读取Agent配置
        with open(agent_path, 'r', encoding='utf-8') as f:
            agent_config = json.load(f)
        
        # 创建访问令牌
        token = uuid.uuid4().hex
        
        # 计算过期时间
        expiry = int(time.time() + expires_in) if expires_in > 0 else 0
        
        # 创建分发记录
        distribution = {
            "id": f"dist_{uuid.uuid4().hex[:6]}",
            "created_at": int(time.time()),
            "token": token,
            "expires_at": expiry,
            "usage_count": 0
        }
        
        # 更新Agent配置
        if "distributions" not in agent_config:
            agent_config["distributions"] = []
            
        agent_config["distributions"].append(distribution)
        
        # 保存更新后的配置
        with open(agent_path, 'w', encoding='utf-8') as f:
            json.dump(agent_config, f, ensure_ascii=False, indent=2)
        
        # 构建访问链接
        access_link = f"/student/{agent_id}?token={token}"
        
        return jsonify({
            "success": True,
            "distribution": {
                "id": distribution["id"],
                "link": access_link,
                "token": token,
                "expires_at": expiry
            },
            "message": "分发链接创建成功"
        })
        
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({
            "success": False,
            "message": str(e)
        }), 500

@agent_builder_bp.route('/<agent_id>/distributions', methods=['GET'])
def get_distributions(agent_id):
    """获取Agent的分发链接列表"""
    try:
        agent_path = os.path.join(AGENTS_DIR, f"{agent_id}.json")
        if not os.path.exists(agent_path):
            return jsonify({"success": False, "message": "Agent不存在"}), 404

        with open(agent_path, 'r', encoding='utf-8') as f:
            agent_config = json.load(f)

        distributions = agent_config.get('distributions', [])

        return jsonify({
            "success": True,
            "distributions": distributions
        })

    except Exception as e:
        return jsonify({
            "success": False,
            "message": str(e)
        }), 500

@agent_builder_bp.route('/ai-assist', methods=['POST'])
def ai_assisted_workflow():
    """使用AI辅助Agent工作流编排"""
    try:
        data = request.json
        description = data.get('description', '')
        subject = data.get('subject', '通用学科')
        # 支持驼峰命名和下划线命名
        knowledge_bases = data.get('knowledgeBases') or data.get('knowledge_bases', [])
        plugins = data.get('plugins', [])
        
        if not description:
            return jsonify({
                "success": False,
                "message": "请提供Agent描述"
            }), 400
            
        # 获取所有可用的知识库
        available_knowledge_bases = []
        try:
            # 获取知识库列表的API调用
            kb_response = requests.get("https://samlax12-agent.hf.space/api/knowledge")
            if kb_response.status_code == 200:
                kb_data = kb_response.json()
                if kb_data.get("success"):
                    for kb in kb_data.get("data", []):
                        available_knowledge_bases.append(kb["id"])
        except:
            # 如果API调用失败，使用默认值
            pass
            
        # 可用的插件
        available_plugins = ["code", "visualization", "mindmap"]
        
        # 构建提示
        system_prompt = """你是一个专业的AI工作流设计师。你需要根据用户描述，设计一个适合教育场景的Agent工作流。
        你不仅要设计工作流结构，还要推荐合适的知识库和插件。请确保工作流逻辑合理，能够满足用户的需求。
        
        工作流应包含以下类型的节点：
        1. 意图识别：识别用户输入的意图
        2. 知识库查询：从指定知识库中检索信息
        3. 插件调用：调用特定插件（如代码执行、3D可视化或思维导图）
        4. 回复生成：生成最终回复
        
        用户当前选择的知识库：{knowledge_bases}
        系统中可用的知识库有：{available_knowledge_bases}
        
        用户当前选择的插件：{plugins}
        系统中可用的插件有：{available_plugins}
        
        这个Agent的主题领域是：{subject}
        
        重要：根据Agent描述，推荐最合适的知识库和插件。在推荐时，只能使用系统中真实可用的知识库和插件。
        
        请返回三部分内容：
        1. 推荐的知识库列表（只能从可用知识库中选择）
        2. 推荐的插件列表（只能从可用插件中选择）
        3. 完整的工作流JSON结构
        
        JSON格式示例：
        {{
          "recommended_knowledge_bases": ["rag_knowledge1", "rag_knowledge2"],
          "recommended_plugins": ["code", "visualization"],
          "workflow": {{
            "nodes": [
              {{ "id": "node1", "type": "intent_recognition", "data": {{ "name": "意图识别" }} }},
              {{ "id": "node2", "type": "knowledge_query", "data": {{ "name": "知识库查询", "knowledge_base_id": "rag_knowledge1" }} }},
              {{ "id": "node3", "type": "plugin_call", "data": {{ "name": "调用代码执行插件", "plugin_id": "code" }} }},
              {{ "id": "node4", "type": "generate_response", "data": {{ "name": "生成回复" }} }}
            ],
            "edges": [
              {{ "id": "edge1", "source": "node1", "target": "node2", "condition": "需要知识" }},
              {{ "id": "edge2", "source": "node1", "target": "node3", "condition": "需要代码执行" }},
              {{ "id": "edge3", "source": "node2", "target": "node4" }},
              {{ "id": "edge4", "source": "node3", "target": "node4" }}
            ]
          }}
        }}
        """
        
        system_prompt = system_prompt.format(
            knowledge_bases=", ".join(knowledge_bases) if knowledge_bases else "无",
            available_knowledge_bases=", ".join(available_knowledge_bases) if available_knowledge_bases else "无可用知识库",
            plugins=", ".join(plugins) if plugins else "无",
            available_plugins=", ".join(available_plugins),
            subject=subject
        )
        
        # 使用流式API
        try:
            headers = {
                "Authorization": f"Bearer {STREAM_API_KEY}",
                "Content-Type": "application/json"
            }
            
            response = requests.post(
                f"{STREAM_BASE_URL}/chat/completions",
                headers=headers,
                json={
                    "model": DEFAULT_MODEL,
                    "messages": [
                        {"role": "system", "content": system_prompt},
                        {"role": "user", "content": f"请为以下描述的教育Agent设计工作流并推荐知识库和插件：\n\n{description}"}
                    ]
                }
            )
            
            if response.status_code != 200:
                return jsonify({
                    "success": False,
                    "message": f"Error code: {response.status_code} - {response.text}",
                    "workflow": create_default_workflow(),
                    "recommended_knowledge_bases": [],
                    "recommended_plugins": []
                }), 200  # 返回200但包含错误信息和备用工作流
            
            result = response.json()
            content = result['choices'][0]['message']['content']
            
        except Exception as api_error:
            return jsonify({
                "success": False,
                "message": f"无法连接到AI模型服务: {str(api_error)}",
                "workflow": create_default_workflow(),
                "recommended_knowledge_bases": [],
                "recommended_plugins": []
            }), 200
        
        # 查找JSON部分
        import re
        json_match = re.search(r'```json\n([\s\S]*?)\n```', content)
        
        if json_match:
            workflow_json = json_match.group(1)
        else:
            # 尝试直接解析整个内容
            workflow_json = content
        
        # 解析JSON
        try:
            result_data = json.loads(workflow_json)
        except:
            # 如果解析失败，使用正则表达式清理
            workflow_json = re.sub(r'```json\n|\n```', '', content)
            try:
                result_data = json.loads(workflow_json)
            except:
                # 如果仍然解析失败，提取标准的JSON结构 { ... }
                import re
                json_patterns = re.findall(r'\{[\s\S]*?\}', content)
                if json_patterns:
                    try:
                        # 尝试解析最长的JSON结构
                        longest_json = max(json_patterns, key=len)
                        result_data = json.loads(longest_json)
                    except:
                        # 仍然失败，返回默认值
                        return jsonify({
                            "success": True,
                            "message": "使用默认工作流（AI生成的JSON无效）",
                            "workflow": create_default_workflow(),
                            "recommended_knowledge_bases": [],
                            "recommended_plugins": []
                        })
                else:
                    # 没有找到有效的JSON结构
                    return jsonify({
                        "success": True,
                        "message": "使用默认工作流（未找到JSON结构）",
                        "workflow": create_default_workflow(),
                        "recommended_knowledge_bases": [],
                        "recommended_plugins": []
                    })
        
        # 提取推荐的知识库和插件
        recommended_knowledge_bases = result_data.get("recommended_knowledge_bases", [])
        recommended_plugins = result_data.get("recommended_plugins", [])
        workflow = result_data.get("workflow", create_default_workflow())
        
        # 验证推荐的知识库都存在
        valid_knowledge_bases = []
        for kb in recommended_knowledge_bases:
            if kb in available_knowledge_bases:
                valid_knowledge_bases.append(kb)
        
        # 验证推荐的插件都存在
        valid_plugins = []
        for plugin in recommended_plugins:
            if plugin in available_plugins:
                valid_plugins.append(plugin)
        
        return jsonify({
            "success": True,
            "workflow": workflow,
            "recommended_knowledge_bases": valid_knowledge_bases,
            "recommended_plugins": valid_plugins,
            "message": "已成功创建工作流"
        })
        
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({
            "success": False, 
            "message": str(e)
        }), 500

def create_default_workflow():
    """创建一个默认的空工作流"""
    return {
        "nodes": [],
        "edges": []
    }