"""多 Agent 控制器"""
import uuid
from typing import Annotated

from fastapi import APIRouter, Depends, Query, Path
from sqlalchemy.orm import Session

from app.db import get_db
from app.dependencies import get_current_user
from app.core.response_utils import success
from app.core.logging_config import get_business_logger
from app.schemas import multi_agent_schema, MultiAgentConfigUpdate, MultiAgentConfigSchema
from app.schemas.response_schema import PageData, PageMeta
from app.services.multi_agent_service import MultiAgentService, get_multi_agent_service
from app.models import User

router = APIRouter(prefix="/apps", tags=["Multi-Agent"])
logger = get_business_logger()


# ==================== 多 Agent 配置管理 ====================

# @router.post(
#     "/{app_id}/multi-agent",
#     summary="创建多 Agent 配置"
# )
# def create_multi_agent_config(
#     app_id: uuid.UUID = Path(..., description="应用 ID"),
#     data: multi_agent_schema.MultiAgentConfigCreate = ...,
#     current_user: User = Depends(get_current_user),
#     db: Session = Depends(get_db),
# ):
#     """创建多 Agent 配置

#     支持四种编排模式：
#     - sequential: 顺序执行
#     - parallel: 并行执行
#     - conditional: 条件路由
#     - loop: 循环执行
#     """
#     service = MultiAgentService(db)
#     config = service.create_config(
#         app_id=app_id,
#         data=data,
#         created_by=current_user.id
#     )

#     return success(
#         data=multi_agent_schema.MultiAgentConfigSchema.model_validate(config),
#         msg="多 Agent 配置创建成功"
#     )


@router.get(
    "/{app_id}/multi-agent",
    summary="获取当前应用的最新有效多 Agent 配置"
)
def get_multi_agent_configs(
    app_id: uuid.UUID = Path(..., description="应用 ID"),
    current_user: User = Depends(get_current_user),
    db: Session = Depends(get_db),
):
    """获取指定应用的最新有效多 Agent 配置，如果不存在则返回默认模板"""
    service = MultiAgentService(db)

    # 通过 app_id 获取最新有效配置（已转换 agent_id 为 app_id）
    config = service.get_multi_agent_configs(app_id)

    if not config:
        # 返回默认模板
        default_template = {
            "app_id": str(app_id),
            "default_model_config_id": None,
            "model_parameters": None,
            "orchestration_mode": "conditional",
            "sub_agents": [],
            "routing_rules": [],
            "execution_config": {
                "max_iterations": 10,
                "timeout": 300,
                "enable_parallel": False,
                "error_handling": "stop"
            },
            "aggregation_strategy": "merge",
        }
        return success(
            data=default_template,
            msg="该应用暂无配置，返回默认模板"
        )

    # config 已经是字典格式，直接返回
    return success(data=config)

@router.put(
    "/{app_id}/multi-agent",
    summary="更新多 Agent 配置"
)
def update_multi_agent_config(
    app_id: uuid.UUID = Path(..., description="应用 ID"),
    data: MultiAgentConfigUpdate = ...,
    current_user: User = Depends(get_current_user),
    db: Session = Depends(get_db),
    multi_agent_service: Annotated[MultiAgentService, Depends(get_multi_agent_service)] = None,
):
    """更新多 Agent 配置"""
    config = multi_agent_service.update_config(app_id, data)
    print("="*50)
    print(config.default_model_config_id)
    return success(
        data=MultiAgentConfigSchema.model_validate(config),
        msg="多 Agent 配置更新成功"
    )


# @router.delete(
#     "/{app_id}/multi-agent",
#     summary="删除多 Agent 配置"
# )
# def delete_multi_agent_config(
#     app_id: uuid.UUID = Path(..., description="应用 ID"),
#     current_user: User = Depends(get_current_user),
#     db: Session = Depends(get_db),
# ):
#     """删除多 Agent 配置"""
#     service = MultiAgentService(db)
#     service.delete_config(app_id)

#     return success(msg="多 Agent 配置删除成功")

# ==================== 多 Agent 运行 ====================

# @router.post(
#     "/{app_id}/multi-agent/run",
#     summary="运行多 Agent 任务"
# )
# async def run_multi_agent(
#     app_id: uuid.UUID = Path(..., description="应用 ID"),
#     request: multi_agent_schema.MultiAgentRunRequest = ...,
#     current_user: User = Depends(get_current_user),
#     db: Session = Depends(get_db),
# ):
#     """运行多 Agent 任务

#     根据配置的编排模式执行多个 Agent：
#     - sequential: 按优先级顺序执行
#     - parallel: 并行执行所有 Agent
#     - conditional: 根据条件选择 Agent
#     """
#     service = MultiAgentService(db)
#     result = await service.run(app_id, request)

#     return success(
#         data=multi_agent_schema.MultiAgentRunResponse(**result),
#         msg="多 Agent 任务执行成功"
#     )


# # ==================== 智能路由测试 ====================

# @router.post(
#     "/{app_id}/multi-agent/test-routing",
#     summary="测试智能路由（支持 Master Agent 模式）"
# )
# async def test_routing(
#     app_id: uuid.UUID = Path(..., description="应用 ID"),
#     request: multi_agent_schema.RoutingTestRequest = ...,
#     current_user: User = Depends(get_current_user),
#     db: Session = Depends(get_db),
# ):
#     """测试智能路由功能（重构版 - 支持 Master Agent）

#     支持三种路由模式：
#     - master_agent: 使用 Master Agent 决策（推荐）
#     - llm_router: 使用旧 LLM 路由器（向后兼容）
#     - rule_only: 仅使用规则路由（最快）

#     参数：
#     - message: 测试消息
#     - conversation_id: 会话 ID（可选）
#     - routing_model_id: 路由模型 ID（可选）
#     - use_llm: 是否启用 LLM（默认 False）
#     - keyword_threshold: 关键词置信度阈值（默认 0.8）
#     - force_new: 是否强制重新路由（默认 False）
#     """
#     from app.services.conversation_state_manager import ConversationStateManager
#     from app.services.llm_router import LLMRouter
#     from app.models import ModelConfig

#     # 1. 获取多 Agent 配置
#     service = MultiAgentService(db)
#     config = service.get_config(app_id)

#     if not config:
#         return success(
#             data=None,
#             msg="应用未配置多 Agent，无法测试路由"
#         )

#     # 2. 准备子 Agent 信息
#     sub_agents = {}
#     for sub_agent_info in config.sub_agents:
#         agent_id = sub_agent_info["agent_id"]
#         sub_agents[agent_id] = {
#             "name": sub_agent_info.get("name", agent_id),
#             "role": sub_agent_info.get("role", "")
#         }

#     # 3. 获取路由模型（如果指定）
#     routing_model = None
#     if request.routing_model_id:
#         routing_model = db.get(ModelConfig, request.routing_model_id)
#         if not routing_model:
#             return success(
#                 data=None,
#                 msg=f"路由模型不存在: {request.routing_model_id}"
#             )

#     # 4. 初始化路由器
#     state_manager = ConversationStateManager()
#     router = LLMRouter(
#         db=db,
#         state_manager=state_manager,
#         routing_rules=config.routing_rules or [],
#         sub_agents=sub_agents,
#         routing_model_config=routing_model,
#         use_llm=request.use_llm and routing_model is not None
#     )

#     # 5. 设置阈值
#     if request.keyword_threshold:
#         router.keyword_high_confidence_threshold = request.keyword_threshold

#     # 6. 执行路由
#     try:
#         routing_result = await router.route(
#             message=request.message,
#             conversation_id=str(request.conversation_id) if request.conversation_id else None,
#             force_new=request.force_new
#         )

#         # 7. 获取 Agent 信息
#         agent_id = routing_result["agent_id"]
#         agent_info = sub_agents.get(agent_id, {})

#         # 8. 构建响应
#         response_data = {
#             "message": request.message,
#             "routing_result": {
#                 "agent_id": agent_id,
#                 "agent_name": agent_info.get("name", agent_id),
#                 "agent_role": agent_info.get("role", ""),
#                 "confidence": routing_result["confidence"],
#                 "strategy": routing_result["strategy"],
#                 "topic": routing_result["topic"],
#                 "topic_changed": routing_result["topic_changed"],
#                 "reason": routing_result["reason"],
#                 "routing_method": routing_result["routing_method"]
#             },
#             "cmulti-agent/batch-test-routingonfig_info": {
#                 "use_llm": request.use_llm and routing_model is not None,
#                 "routing_model": routing_model.name if routing_model else None,
#                 "keyword_threshold": router.keyword_high_confidence_threshold,
#                 "total_sub_agents": len(sub_agents)
#             }
#         }

#         return success(
#             data=response_data,
#             msg="路由测试成功"
#         )

#     except Exception as e:
#         logger.error(f"路由测试失败: {str(e)}")
#         return success(
#             data=None,
#             msg=f"路由测试失败: {str(e)}"
#         )


# @router.post(
#     "/{app_id}/multi-agent/test-master-agent",
#     summary="测试 Master Agent 决策"
# )
# async def test_master_agent(
#     app_id: uuid.UUID = Path(..., description="应用 ID"),
#     request: multi_agent_schema.RoutingTestRequest = ...,
#     current_user: User = Depends(get_current_user),
#     db: Session = Depends(get_db),
# ):
#     """测试 Master Agent 的路由决策能力

#     这个接口专门用于测试新的 Master Agent 路由器，
#     可以看到 Master Agent 的完整决策过程。

#     返回信息包括：
#     - 选中的 Agent
#     - 置信度
#     - 决策理由
#     - 是否需要协作
#     - 路由策略（master_agent / rule_fast_path / fallback）
#     """
#     from app.services.conversation_state_manager import ConversationStateManager
#     from app.services.master_agent_router import MasterAgentRouter
#     from app.models import ModelConfig

#     # 1. 获取多 Agent 配置
#     service = MultiAgentService(db)
#     config = service.get_config(app_id)

#     if not config:
#         return success(
#             data=None,
#             msg="应用未配置多 Agent，无法测试"
#         )

#     # 2. 加载 Master Agent
#     from app.models import AppRelease, App

#     master_release = db.get(AppRelease, config.master_agent_id)
#     if not master_release:
#         return success(
#             data=None,
#             msg=f"Master Agent 发布版本不存在: {config.master_agent_id}"
#         )

#     # 获取应用信息
#     app = db.get(App, master_release.app_id)
#     if not app:
#         return success(
#             data=None,
#             msg=f"应用不存在: {master_release.app_id}"
#         )

#     # 创建 Master Agent 代理对象
#     class AgentConfigProxy:
#         def __init__(self, release, app, config_data):
#             self.id = release.id
#             self.app_id = release.app_id
#             self.app = app
#             self.name = release.name
#             self.description = release.description
#             self.system_prompt = config_data.get("system_prompt")
#             self.default_model_config_id = release.default_model_config_id

#     config_data = master_release.config or {}
#     master_agent_config = AgentConfigProxy(master_release, app, config_data)

#     # 3. 获取 Master Agent 的模型配置
#     master_model_config = db.get(ModelConfig, master_agent_config.default_model_config_id)
#     if not master_model_config:
#         return success(
#             data=None,
#             msg=f"Master Agent 模型配置不存在: {master_agent_config.default_model_config_id}"
#         )

#     # 4. 准备子 Agent 信息
#     sub_agents = {}
#     for sub_agent_info in config.sub_agents:
#         agent_id = sub_agent_info["agent_id"]

#         # 加载子 Agent
#         sub_release = db.get(AppRelease, uuid.UUID(agent_id))
#         if sub_release:
#             sub_app = db.get(App, sub_release.app_id)
#             sub_config_data = sub_release.config or {}
#             sub_agent_config = AgentConfigProxy(sub_release, sub_app, sub_config_data)

#             sub_agents[agent_id] = {
#                 "config": sub_agent_config,
#                 "info": sub_agent_info
#             }

#     # 5. 初始化 Master Agent 路由器
#     state_manager = ConversationStateManager()
#     router = MasterAgentRouter(
#         db=db,
#         master_agent_config=master_agent_config,
#         master_model_config=master_model_config,
#         sub_agents=sub_agents,
#         state_manager=state_manager,
#         enable_rule_fast_path=True
#     )

#     # 6. 执行路由决策
#     try:
#         decision = await router.route(
#             message=request.message,
#             conversation_id=str(request.conversation_id) if request.conversation_id else None,
#             variables=None
#         )

#         # 7. 获取选中的 Agent 信息
#         agent_id = decision["selected_agent_id"]
#         agent_info = sub_agents.get(agent_id, {}).get("info", {})

#         # 8. 构建响应
#         response_data = {
#             "message": request.message,
#             "master_agent": {
#                 "name": master_agent_config.name,
#                 "model": master_model_config.name
#             },
#             "decision": {
#                 "selected_agent_id": agent_id,
#                 "selected_agent_name": agent_info.get("name", "未知"),
#                 "selected_agent_role": agent_info.get("role", ""),
#                 "confidence": decision["confidence"],
#                 "reasoning": decision.get("reasoning", ""),
#                 "topic": decision.get("topic", ""),
#                 "strategy": decision["strategy"],
#                 "routing_method": decision.get("routing_method", ""),
#                 "need_collaboration": decision.get("need_collaboration", False),
#                 "collaboration_agents": decision.get("collaboration_agents", [])
#             },
#             "config_info": {
#                 "total_sub_agents": len(sub_agents),
#                 "enable_rule_fast_path": True
#             }
#         }

#         return success(
#             data=response_data,
#             msg="Master Agent 决策测试成功"
#         )

#     except Exception as e:
#         logger.error(f"Master Agent 决策测试失败: {str(e)}")
#         return success(
#             data=None,
#             msg=f"测试失败: {str(e)}"
#         )


# @router.post(
#     "/{app_id}/multi-agent/batch-test-routing",
#     summary="批量测试智能路由"
# )
# async def batch_test_routing(
#     app_id: uuid.UUID = Path(..., description="应用 ID"),
#     request: multi_agent_schema.BatchRoutingTestRequest = ...,
#     current_user: User = Depends(get_current_user),
#     db: Session = Depends(get_db),
# ):
#     """批量测试智能路由功能

#     用于测试多条消息的路由效果，并统计准确率

#     参数：
#     - test_cases: 测试用例列表
#     - routing_model_id: 路由模型 ID（可选）
#     - use_llm: 是否启用 LLM
#     - keyword_threshold: 关键词置信度阈值
#     """
#     from app.services.conversation_state_manager import ConversationStateManager
#     from app.services.llm_router import LLMRouter
#     from app.models import ModelConfig

#     # 1. 获取多 Agent 配置
#     service = MultiAgentService(db)
#     config = service.get_config(app_id)

#     if not config:
#         return success(
#             data=None,
#             msg="应用未配置多 Agent，无法测试路由"
#         )

#     # 2. 准备子 Agent 信息
#     sub_agents = {}
#     for sub_agent_info in config.sub_agents:
#         agent_id = sub_agent_info["agent_id"]
#         sub_agents[agent_id] = {
#             "name": sub_agent_info.get("name", agent_id),
#             "role": sub_agent_info.get("role", "")
#         }

#     # 3. 获取路由模型
#     routing_model = None
#     if request.routing_model_id:
#         routing_model = db.get(ModelConfig, request.routing_model_id)

#     # 4. 初始化路由器
#     state_manager = ConversationStateManager()
#     router = LLMRouter(
#         db=db,
#         state_manager=state_manager,
#         routing_rules=config.routing_rules or [],
#         sub_agents=sub_agents,
#         routing_model_config=routing_model,
#         use_llm=request.use_llm and routing_model is not None
#     )

#     if request.keyword_threshold:
#         router.keyword_high_confidence_threshold = request.keyword_threshold

#     # 5. 批量测试
#     results = []
#     correct_count = 0
#     total_count = len(request.test_cases)

#     for test_case in request.test_cases:
#         try:
#             routing_result = await router.route(
#                 message=test_case.message,
#                 conversation_id=str(uuid.uuid4())  # 每个测试用例使用独立会话
#             )

#             agent_id = routing_result["agent_id"]
#             agent_info = sub_agents.get(agent_id, {})

#             # 判断是否正确
#             is_correct = None
#             if test_case.expected_agent_id:
#                 is_correct = (agent_id == str(test_case.expected_agent_id))
#                 if is_correct:
#                     correct_count += 1

#             results.append({
#                 "message": test_case.message,
#                 "description": test_case.description,
#                 "routed_agent_id": agent_id,
#                 "routed_agent_name": agent_info.get("name"),
#                 "expected_agent_id": str(test_case.expected_agent_id) if test_case.expected_agent_id else None,
#                 "is_correct": is_correct,
#                 "confidence": routing_result["confidence"],
#                 "routing_method": routing_result["routing_method"],
#                 "strategy": routing_result["strategy"]
#             })

#         except Exception as e:
#             logger.error(f"测试用例失败: {test_case.message}, 错误: {str(e)}")
#             results.append({
#                 "message": test_case.message,
#                 "description": test_case.description,
#                 "error": str(e)
#             })

#     # 6. 统计
#     accuracy = None
#     if correct_count > 0:
#         total_with_expected = sum(1 for r in results if r.get("expected_agent_id"))
#         if total_with_expected > 0:
#             accuracy = correct_count / total_with_expected * 100

#     response_data = {
#         "total_count": total_count,
#         "correct_count": correct_count,
#         "accuracy": accuracy,
#         "results": results,
#         "config_info": {
#             "use_llm": request.use_llm and routing_model is not None,
#             "routing_model": routing_model.name if routing_model else None,
#             "keyword_threshold": router.keyword_high_confidence_threshold
#         }
#     }

#     return success(
#         data=response_data,
#         msg=f"批量测试完成，准确率: {accuracy:.1f}%" if accuracy else "批量测试完成"
#     )