use crate::business::services::universal_workflow_service::{
    ExecuteWorkflowRequest, ExecuteWorkflowResponse
};
use crate::data::models::workflow_template::{
    WorkflowTemplate, CreateWorkflowTemplateRequest, UpdateWorkflowTemplateRequest, WorkflowTemplateFilter
};
use crate::data::models::workflow_execution_record::{
    WorkflowExecutionRecord, ExecutionRecordFilter
};
use crate::data::models::workflow_execution_environment::{
    WorkflowExecutionEnvironment, CreateExecutionEnvironmentRequest, UpdateExecutionEnvironmentRequest, ExecutionEnvironmentFilter
};
use crate::app_state::AppState;
use anyhow::Result;
use serde::{Deserialize, Serialize};
use tauri::State;
use tracing::info;
use chrono::Timelike;

/// 获取所有工作流模板
#[tauri::command]
pub async fn get_workflow_templates(
    filter: Option<WorkflowTemplateFilter>,
    state: State<'_, AppState>,
) -> Result<Vec<WorkflowTemplate>, String> {
    info!("获取工作流模板列表");

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 查询工作流模板
    let templates = repo.find_all(filter.as_ref())
        .map_err(|e| format!("查询工作流模板失败: {}", e))?;

    info!("成功获取 {} 个工作流模板", templates.len());
    Ok(templates)
}

/// 根据ID获取工作流模板
#[tauri::command]
pub async fn get_workflow_template_by_id(
    id: i64,
    state: State<'_, AppState>,
) -> Result<Option<WorkflowTemplate>, String> {
    info!("获取工作流模板: {}", id);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 查询模板
    let template = repo.find_by_id(id)
        .map_err(|e| format!("查询工作流模板失败: {}", e))?;

    info!("成功获取工作流模板: {:?}", template.as_ref().map(|t| &t.name));
    Ok(template)
}

/// 创建工作流模板
#[tauri::command]
pub async fn create_workflow_template(
    request: CreateWorkflowTemplateRequest,
    state: State<'_, AppState>,
) -> Result<WorkflowTemplate, String> {
    info!("创建工作流模板: {}", request.name);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 创建工作流模板
    let template_id = repo.create(&request)
        .map_err(|e| format!("创建工作流模板失败: {}", e))?;

    // 查询创建的模板并返回
    let template = repo.find_by_id(template_id)
        .map_err(|e| format!("查询创建的工作流模板失败: {}", e))?
        .ok_or_else(|| "创建的工作流模板未找到".to_string())?;

    info!("成功创建工作流模板，ID: {}", template_id);
    Ok(template)
}

/// 更新工作流模板
#[tauri::command]
pub async fn update_workflow_template(
    id: i64,
    request: UpdateWorkflowTemplateRequest,
    state: State<'_, AppState>,
) -> Result<WorkflowTemplate, String> {
    info!("更新工作流模板: {}", id);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 更新工作流模板
    repo.update(id, &request)
        .map_err(|e| format!("更新工作流模板失败: {}", e))?;

    // 查询更新后的模板并返回
    let template = repo.find_by_id(id)
        .map_err(|e| format!("查询更新后的工作流模板失败: {}", e))?
        .ok_or_else(|| "更新后的工作流模板未找到".to_string())?;

    info!("成功更新工作流模板，ID: {}", id);
    Ok(template)
}

/// 执行基于映射的工作流
#[tauri::command]
pub async fn execute_workflow_with_mapping(
    request: crate::data::models::outfit_photo_generation::ExecuteWorkflowRequest,
    state: State<'_, AppState>,
) -> Result<crate::data::models::outfit_photo_generation::ExecuteWorkflowResponse, String> {
    info!("执行基于映射的工作流，模板ID: {}", request.workflow_template_id);

    // 获取工作流模板仓库
    let template_repo = {
        let template_repo_guard = state.get_workflow_template_repository()
            .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

        template_repo_guard.as_ref()
            .ok_or_else(|| "工作流模板仓库未初始化".to_string())?
            .clone()
    };

    // 获取工作流执行记录仓库
    let execution_repo = {
        let execution_repo_guard = state.get_workflow_execution_record_repository()
            .map_err(|e| format!("获取工作流执行记录仓库失败: {}", e))?;

        execution_repo_guard.as_ref()
            .ok_or_else(|| "工作流执行记录仓库未初始化".to_string())?
            .clone()
    };

    // 使用通用工作流服务（支持环境管理）
    let universal_service = {
        let service_guard = state.get_universal_workflow_service()
            .map_err(|e| format!("获取通用工作流服务失败: {}", e))?;

        if service_guard.as_ref().is_none() {
            // 尝试初始化通用工作流服务
            drop(service_guard); // 释放锁
            if let Err(e) = state.initialize_universal_workflow_service() {
                return Err(format!("初始化通用工作流服务失败: {}", e));
            }

            // 重新获取服务
            let service_guard = state.get_universal_workflow_service()
                .map_err(|e| format!("重新获取通用工作流服务失败: {}", e))?;

            service_guard.as_ref()
                .ok_or_else(|| "通用工作流服务初始化后仍然为空".to_string())?
                .clone()
        } else {
            service_guard.as_ref().unwrap().clone()
        }
    };

    // 转换请求格式到新的统一格式
    let unified_request = crate::business::services::universal_workflow_service::ExecuteWorkflowRequest {
        workflow_identifier: format!("template_{}", request.workflow_template_id),
        version: None,
        input_data: request.input_data,
        environment_id: request.execution_environment_id,
        user_id: None,
        session_id: None,
        metadata: request.execution_config_override,
    };

    // 执行工作流
    let response = universal_service.execute_workflow(unified_request).await
        .map_err(|e| format!("执行工作流失败: {}", e))?;

    // 转换响应格式
    let converted_response = crate::data::models::outfit_photo_generation::ExecuteWorkflowResponse {
        execution_id: response.execution_id,
        status: match response.status {
            crate::data::models::workflow_execution_record::ExecutionStatus::Running => "running".to_string(),
            crate::data::models::workflow_execution_record::ExecutionStatus::Completed => "completed".to_string(),
            crate::data::models::workflow_execution_record::ExecutionStatus::Failed => "failed".to_string(),
            crate::data::models::workflow_execution_record::ExecutionStatus::Cancelled => "cancelled".to_string(),
            crate::data::models::workflow_execution_record::ExecutionStatus::Pending => "pending".to_string(),
            crate::data::models::workflow_execution_record::ExecutionStatus::Timeout => "timeout".to_string(),
        },
        comfyui_prompt_id: response.comfyui_prompt_id,
        error_message: response.error_message,
    };

    info!("工作流执行成功，执行记录ID: {}", response.execution_id);
    Ok(converted_response)
}



/// 删除工作流模板
#[tauri::command]
pub async fn delete_workflow_template(
    id: i64,
    state: State<'_, AppState>,
) -> Result<(), String> {
    info!("删除工作流模板: {}", id);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 删除工作流模板
    repo.delete(id)
        .map_err(|e| format!("删除工作流模板失败: {}", e))?;

    info!("成功删除工作流模板，ID: {}", id);
    Ok(())
}

/// 执行工作流
#[tauri::command]
pub async fn execute_workflow(
    request: ExecuteWorkflowRequest,
    _state: State<'_, AppState>,
) -> Result<ExecuteWorkflowResponse, String> {
    info!("执行工作流: {}", request.workflow_identifier);
    
    // TODO: 从AppState获取UniversalWorkflowService
    // 暂时返回示例响应
    let response = ExecuteWorkflowResponse {
        execution_id: 1,
        status: crate::data::models::workflow_execution_record::ExecutionStatus::Running,
        progress: 0,
        output_data: None,
        error_message: None,
        comfyui_prompt_id: Some("test-prompt-id".to_string()),
    };
    
    Ok(response)
}

/// 获取执行状态
#[tauri::command]
pub async fn get_execution_status(
    execution_id: i64,
    state: State<'_, AppState>,
) -> Result<ExecuteWorkflowResponse, String> {
    info!("获取执行状态: {}", execution_id);

    // 获取工作流执行记录仓库
    let repo_guard = state.get_workflow_execution_record_repository()
        .map_err(|e| format!("获取工作流执行记录仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行记录仓库未初始化".to_string())?;

    // 查询执行记录
    let record = repo.find_by_id(execution_id)
        .map_err(|e| format!("查询执行记录失败: {}", e))?
        .ok_or_else(|| format!("执行记录不存在: {}", execution_id))?;

    let response = ExecuteWorkflowResponse {
        execution_id: record.id.unwrap_or(execution_id),
        status: record.status,
        progress: record.progress,
        output_data: record.output_data_json,
        comfyui_prompt_id: record.comfyui_prompt_id,
        error_message: record.error_message,
    };

    Ok(response)
}

/// 获取执行结果
#[tauri::command]
pub async fn get_execution_results(
    execution_id: i64,
    state: State<'_, AppState>,
) -> Result<Option<serde_json::Value>, String> {
    info!("获取执行结果: {}", execution_id);

    // 获取工作流执行记录仓库
    let repo_guard = state.get_workflow_execution_record_repository()
        .map_err(|e| format!("获取工作流执行记录仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行记录仓库未初始化".to_string())?;

    // 查询执行记录
    let record = repo.find_by_id(execution_id)
        .map_err(|e| format!("查询执行记录失败: {}", e))?
        .ok_or_else(|| format!("执行记录不存在: {}", execution_id))?;

    Ok(record.output_data_json)
}

/// 取消执行
#[tauri::command]
pub async fn cancel_execution(
    execution_id: i64,
    _state: State<'_, AppState>,
) -> Result<(), String> {
    info!("取消执行: {}", execution_id);
    
    // TODO: 实现实际的取消逻辑
    Ok(())
}

/// 执行历史分页响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExecutionHistoryResponse {
    pub records: Vec<WorkflowExecutionRecord>,
    pub total_count: u32,
    pub page: u32,
    pub page_size: u32,
    pub total_pages: u32,
}

/// 获取执行历史
#[tauri::command]
pub async fn get_execution_history(
    filter: Option<ExecutionRecordFilter>,
    limit: Option<i32>,
    offset: Option<i32>,
    state: State<'_, AppState>,
) -> Result<ExecutionHistoryResponse, String> {
    info!("获取执行历史");

    // 获取工作流执行记录仓库
    let repo_guard = state.get_workflow_execution_record_repository()
        .map_err(|e| format!("获取工作流执行记录仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行记录仓库未初始化".to_string())?;

    // 查询执行历史
    let (records, total_count, page, page_size) = if let (Some(limit), Some(offset)) = (limit, offset) {
        let page = (offset / limit.max(1)) as u32;
        let page_size = limit as u32;
        let (records, total) = repo.find_with_pagination(filter.as_ref(), page, page_size)
            .map_err(|e| format!("分页查询执行历史失败: {}", e))?;
        (records, total, page, page_size)
    } else {
        // 如果没有分页参数，返回所有记录
        let records = repo.find_all(filter.as_ref())
            .map_err(|e| format!("查询执行历史失败: {}", e))?;
        let total = records.len() as u32;
        (records, total, 0, total)
    };

    let total_pages = if page_size > 0 {
        (total_count + page_size - 1) / page_size
    } else {
        1
    };

    info!("成功获取 {} 条执行历史记录，总数: {}", records.len(), total_count);

    Ok(ExecutionHistoryResponse {
        records,
        total_count,
        page,
        page_size,
        total_pages,
    })
}

/// 获取执行环境列表
#[tauri::command]
pub async fn get_execution_environments(
    filter: Option<ExecutionEnvironmentFilter>,
    state: State<'_, AppState>,
) -> Result<Vec<WorkflowExecutionEnvironment>, String> {
    info!("获取执行环境列表");

    // 获取工作流执行环境仓库
    let repo_guard = state.get_workflow_execution_environment_repository()
        .map_err(|e| format!("获取工作流执行环境仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行环境仓库未初始化".to_string())?;

    // 查询执行环境
    let environments = repo.find_all(filter.as_ref())
        .map_err(|e| format!("查询执行环境失败: {}", e))?;

    info!("成功获取 {} 个执行环境", environments.len());
    Ok(environments)
}

/// 创建执行环境
#[tauri::command]
pub async fn create_execution_environment(
    request: CreateExecutionEnvironmentRequest,
    state: State<'_, AppState>,
) -> Result<WorkflowExecutionEnvironment, String> {
    info!("创建执行环境: {}", request.name);

    // 获取工作流执行环境仓库
    let repo_guard = state.get_workflow_execution_environment_repository()
        .map_err(|e| format!("获取工作流执行环境仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行环境仓库未初始化".to_string())?;

    // 创建执行环境
    let environment_id = repo.create(&request)
        .map_err(|e| format!("创建执行环境失败: {}", e))?;

    // 查询创建的环境并返回
    let environment = repo.find_by_id(environment_id)
        .map_err(|e| format!("查询创建的执行环境失败: {}", e))?
        .ok_or_else(|| "创建的执行环境未找到".to_string())?;

    info!("成功创建执行环境，ID: {}", environment_id);
    Ok(environment)
}

/// 更新执行环境
#[tauri::command]
pub async fn update_execution_environment(
    id: i64,
    request: UpdateExecutionEnvironmentRequest,
    state: State<'_, AppState>,
) -> Result<WorkflowExecutionEnvironment, String> {
    info!("更新执行环境: {}, 请求数据: {:?}", id, request);

    // 获取工作流执行环境仓库
    let repo_guard = state.get_workflow_execution_environment_repository()
        .map_err(|e| format!("获取工作流执行环境仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行环境仓库未初始化".to_string())?;

    // 查询更新前的环境
    let old_environment = repo.find_by_id(id)
        .map_err(|e| format!("查询更新前的执行环境失败: {}", e))?
        .ok_or_else(|| format!("执行环境不存在，ID: {}", id))?;

    info!("更新前的环境数据: {:?}", old_environment);

    // 更新执行环境
    repo.update(id, &request)
        .map_err(|e| format!("更新执行环境失败: {}", e))?;

    // 查询更新后的环境并返回
    let environment = repo.find_by_id(id)
        .map_err(|e| format!("查询更新后的执行环境失败: {}", e))?
        .ok_or_else(|| "更新后的执行环境未找到".to_string())?;

    info!("成功更新执行环境，ID: {}, 更新后数据: {:?}", id, environment);
    Ok(environment)
}

/// 删除执行环境
#[tauri::command]
pub async fn delete_execution_environment(
    id: i64,
    state: State<'_, AppState>,
) -> Result<(), String> {
    info!("删除执行环境: {}", id);

    // 获取工作流执行环境仓库
    let repo_guard = state.get_workflow_execution_environment_repository()
        .map_err(|e| format!("获取工作流执行环境仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行环境仓库未初始化".to_string())?;

    // 删除执行环境
    repo.delete(id)
        .map_err(|e| format!("删除执行环境失败: {}", e))?;

    info!("成功删除执行环境，ID: {}", id);
    Ok(())
}

/// 健康检查执行环境
#[tauri::command]
pub async fn health_check_execution_environment(
    id: i64,
    state: State<'_, AppState>,
) -> Result<crate::data::models::workflow_execution_environment::HealthStatus, String> {
    info!("健康检查执行环境: {}", id);

    // 获取工作流执行环境仓库并克隆以避免所有权问题
    let repo = {
        let repo_guard = state.get_workflow_execution_environment_repository()
            .map_err(|e| format!("获取工作流执行环境仓库失败: {}", e))?;

        repo_guard.as_ref()
            .ok_or_else(|| "工作流执行环境仓库未初始化".to_string())?
            .clone()
    };

    // 获取环境信息
    let _environment = repo.find_by_id(id)
        .map_err(|e| format!("查询执行环境失败: {}", e))?
        .ok_or_else(|| format!("执行环境不存在，ID: {}", id))?;

    // 执行健康检查 - 使用公共方法
    let health_results = repo.health_check_all().await
        .map_err(|e| format!("执行健康检查失败: {}", e))?;

    // 查找当前环境的健康状态
    let health_status = health_results.iter()
        .find(|(env_id, _)| *env_id == id)
        .map(|(_, status)| status.clone())
        .unwrap_or(crate::data::models::workflow_execution_environment::HealthStatus::Unknown);

    info!("执行环境健康检查完成，ID: {}, 状态: {:?}", id, health_status);
    Ok(health_status)
}

/// 导出工作流模板
#[tauri::command]
pub async fn export_workflow_template(
    id: i64,
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("导出工作流模板: {}", id);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 导出模板
    let json_data = repo.export_template(id)
        .map_err(|e| format!("导出工作流模板失败: {}", e))?;

    info!("成功导出工作流模板，ID: {}", id);
    Ok(json_data)
}

/// 导入工作流模板
#[tauri::command]
pub async fn import_workflow_template(
    json_data: String,
    override_name: Option<String>,
    state: State<'_, AppState>,
) -> Result<i64, String> {
    info!("导入工作流模板");

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 导入模板
    let template_id = repo.import_template(&json_data, override_name)
        .map_err(|e| format!("导入工作流模板失败: {}", e))?;

    info!("成功导入工作流模板，新ID: {}", template_id);
    Ok(template_id)
}

/// 导出工作流包
#[tauri::command]
pub async fn export_workflow_package(
    package_data: serde_json::Value,
    file_path: String,
) -> Result<(), String> {
    info!("导出工作流包到: {}", file_path);

    // 将数据写入文件
    std::fs::write(&file_path, serde_json::to_string_pretty(&package_data).unwrap())
        .map_err(|e| format!("写入文件失败: {}", e))?;

    info!("成功导出工作流包");
    Ok(())
}

/// 导入工作流包
#[tauri::command]
pub async fn import_workflow_package() -> Result<serde_json::Value, String> {
    info!("导入工作流包");

    // 在前端处理文件选择，这里只处理导入逻辑
    // 暂时返回成功状态，实际实现时会接收文件路径参数
    let result = serde_json::json!({
        "success": true,
        "message": "导入成功",
        "imported_count": 1
    });

    info!("成功导入工作流包");
    Ok(result)
}

/// 复制工作流模板
#[tauri::command]
pub async fn copy_workflow_template(
    id: i64,
    new_name: String,
    new_base_name: Option<String>,
    state: State<'_, AppState>,
) -> Result<i64, String> {
    info!("复制工作流模板: {} -> {}", id, new_name);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 复制模板
    let new_template_id = repo.copy_template(id, new_name, new_base_name)
        .map_err(|e| format!("复制工作流模板失败: {}", e))?;

    info!("成功复制工作流模板，原ID: {}，新ID: {}", id, new_template_id);
    Ok(new_template_id)
}

/// 验证工作流模板
#[tauri::command]
pub async fn validate_workflow_template(
    id: i64,
    state: State<'_, AppState>,
) -> Result<Vec<String>, String> {
    info!("验证工作流模板: {}", id);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 获取模板
    let template = repo.find_by_id(id)
        .map_err(|e| format!("查询工作流模板失败: {}", e))?
        .ok_or_else(|| "工作流模板不存在".to_string())?;

    // 验证模板
    let warnings = repo.validate_template(&template)
        .map_err(|e| format!("验证工作流模板失败: {}", e))?;

    info!("工作流模板验证完成，发现 {} 个警告", warnings.len());
    Ok(warnings)
}

/// 批量导出工作流模板
#[tauri::command]
pub async fn batch_export_workflow_templates(
    ids: Vec<i64>,
    state: State<'_, AppState>,
) -> Result<String, String> {
    info!("批量导出工作流模板: {:?}", ids);

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 批量导出模板
    let json_data = repo.batch_export(&ids)
        .map_err(|e| format!("批量导出工作流模板失败: {}", e))?;

    info!("成功批量导出 {} 个工作流模板", ids.len());
    Ok(json_data)
}

/// 批量导入工作流模板
#[tauri::command]
pub async fn batch_import_workflow_templates(
    json_data: String,
    state: State<'_, AppState>,
) -> Result<Vec<i64>, String> {
    info!("批量导入工作流模板");

    // 获取工作流模板仓库
    let repo_guard = state.get_workflow_template_repository()
        .map_err(|e| format!("获取工作流模板仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流模板仓库未初始化".to_string())?;

    // 批量导入模板
    let template_ids = repo.batch_import(&json_data)
        .map_err(|e| format!("批量导入工作流模板失败: {}", e))?;

    info!("成功批量导入 {} 个工作流模板", template_ids.len());
    Ok(template_ids)
}

/// 获取执行结果文件列表
#[tauri::command]
pub async fn get_execution_result_files(
    execution_id: i64,
    state: State<'_, AppState>,
) -> Result<Vec<crate::business::services::workflow_result_service::ResultFileInfo>, String> {
    info!("获取执行结果文件列表: {}", execution_id);

    // TODO: 从AppState获取WorkflowResultService实例
    // 暂时返回空列表
    Ok(Vec::new())
}

/// 下载执行结果文件
#[tauri::command]
pub async fn download_execution_result_file(
    execution_id: i64,
    file_name: String,
    state: State<'_, AppState>,
) -> Result<Vec<u8>, String> {
    info!("下载执行结果文件: {} - {}", execution_id, file_name);

    // TODO: 从AppState获取WorkflowResultService实例
    // 暂时返回空数据
    Err("功能暂未实现".to_string())
}

/// 删除执行结果文件
#[tauri::command]
pub async fn delete_execution_result_files(
    execution_id: i64,
    state: State<'_, AppState>,
) -> Result<crate::business::services::workflow_result_service::CleanupResult, String> {
    info!("删除执行结果文件: {}", execution_id);

    // TODO: 从AppState获取WorkflowResultService实例
    // 暂时返回空结果
    Ok(crate::business::services::workflow_result_service::CleanupResult {
        files_deleted: 0,
        space_freed_mb: 0.0,
        errors: Vec::new(),
    })
}

/// 系统统计信息响应
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SystemStatistics {
    pub execution_stats: ExecutionStats,
    pub environment_stats: EnvironmentStats,
    pub system_resources: SystemResources,
    pub performance_metrics: PerformanceMetrics,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExecutionStats {
    pub total_executions_today: u32,
    pub successful_executions_today: u32,
    pub failed_executions_today: u32,
    pub average_execution_time_seconds: f64,
    pub current_queue_size: u32,
    pub active_executions: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EnvironmentStats {
    pub total_environments: u32,
    pub healthy_environments: u32,
    pub unhealthy_environments: u32,
    pub average_response_time_ms: f64,
    pub total_capacity: u32,
    pub used_capacity: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SystemResources {
    pub cpu_usage_percent: f64,
    pub memory_usage_percent: f64,
    pub disk_usage_percent: f64,
    pub network_status: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceMetrics {
    pub requests_per_minute: u32,
    pub average_response_time_ms: f64,
    pub error_rate_percent: f64,
    pub uptime_hours: f64,
}

/// 获取系统统计信息
#[tauri::command]
pub async fn get_system_statistics(
    state: State<'_, AppState>,
) -> Result<SystemStatistics, String> {
    info!("获取系统统计信息");

    // 获取工作流执行记录仓库
    let repo_guard = state.get_workflow_execution_record_repository()
        .map_err(|e| format!("获取工作流执行记录仓库失败: {}", e))?;

    let repo = repo_guard.as_ref()
        .ok_or_else(|| "工作流执行记录仓库未初始化".to_string())?;

    // 获取环境仓库
    let env_repo_guard = state.get_workflow_execution_environment_repository()
        .map_err(|e| format!("获取执行环境仓库失败: {}", e))?;

    let env_repo = env_repo_guard.as_ref()
        .ok_or_else(|| "执行环境仓库未初始化".to_string())?;

    // 获取今天的执行统计
    let today = chrono::Utc::now().date_naive();
    let today_filter = crate::data::models::workflow_execution_record::ExecutionRecordFilter {
        date_from: Some(today.and_hms_opt(0, 0, 0).unwrap().and_utc()),
        date_to: Some(today.and_hms_opt(23, 59, 59).unwrap().and_utc()),
        ..Default::default()
    };

    let execution_stats_result = repo.get_execution_statistics(Some(&today_filter))
        .map_err(|e| format!("获取执行统计失败: {}", e))?;

    // 获取环境统计
    let environments = env_repo.find_all(None)
        .map_err(|e| format!("获取环境列表失败: {}", e))?;

    let healthy_envs = environments.iter()
        .filter(|env| env.health_status == crate::data::models::workflow_execution_environment::HealthStatus::Healthy)
        .count() as u32;

    let total_capacity: u32 = environments.iter()
        .map(|env| env.max_concurrent_jobs as u32)
        .sum();

    // 获取当前活跃执行
    let active_filter = crate::data::models::workflow_execution_record::ExecutionRecordFilter {
        status: Some(crate::data::models::workflow_execution_record::ExecutionStatus::Running),
        ..Default::default()
    };

    let active_executions = repo.find_all(Some(&active_filter))
        .map_err(|e| format!("获取活跃执行失败: {}", e))?;

    // 获取队列中的执行
    let pending_filter = crate::data::models::workflow_execution_record::ExecutionRecordFilter {
        status: Some(crate::data::models::workflow_execution_record::ExecutionStatus::Pending),
        ..Default::default()
    };

    let pending_executions = repo.find_all(Some(&pending_filter))
        .map_err(|e| format!("获取队列执行失败: {}", e))?;

    // 计算系统资源使用情况（简化实现）
    let cpu_usage = get_cpu_usage().unwrap_or(0.0);
    let memory_usage = get_memory_usage().unwrap_or(0.0);
    let disk_usage = get_disk_usage().unwrap_or(0.0);

    Ok(SystemStatistics {
        execution_stats: ExecutionStats {
            total_executions_today: execution_stats_result.total_executions,
            successful_executions_today: execution_stats_result.completed_executions,
            failed_executions_today: execution_stats_result.failed_executions,
            average_execution_time_seconds: execution_stats_result.average_duration_seconds.unwrap_or(0.0),
            current_queue_size: pending_executions.len() as u32,
            active_executions: active_executions.len() as u32,
        },
        environment_stats: EnvironmentStats {
            total_environments: environments.len() as u32,
            healthy_environments: healthy_envs,
            unhealthy_environments: environments.len() as u32 - healthy_envs,
            average_response_time_ms: environments.iter()
                .filter_map(|env| env.average_response_time_ms)
                .map(|t| t as f64)
                .sum::<f64>() / environments.len().max(1) as f64,
            total_capacity,
            used_capacity: active_executions.len() as u32,
        },
        system_resources: SystemResources {
            cpu_usage_percent: cpu_usage,
            memory_usage_percent: memory_usage,
            disk_usage_percent: disk_usage,
            network_status: "connected".to_string(),
        },
        performance_metrics: PerformanceMetrics {
            requests_per_minute: calculate_requests_per_minute(&execution_stats_result),
            average_response_time_ms: execution_stats_result.average_duration_seconds.unwrap_or(0.0) * 1000.0,
            error_rate_percent: if execution_stats_result.total_executions > 0 {
                (execution_stats_result.failed_executions as f64 / execution_stats_result.total_executions as f64) * 100.0
            } else {
                0.0
            },
            uptime_hours: get_uptime_hours(),
        },
    })
}

/// 获取存储统计信息
#[tauri::command]
pub async fn get_storage_statistics(
    state: State<'_, AppState>,
) -> Result<crate::business::services::workflow_result_service::StorageStatistics, String> {
    info!("获取存储统计信息");

    // TODO: 从AppState获取WorkflowResultService实例
    // 暂时返回空统计
    Ok(crate::business::services::workflow_result_service::StorageStatistics {
        total_files: 0,
        total_size_mb: 0.0,
        oldest_file_date: None,
        newest_file_date: None,
        files_by_type: std::collections::HashMap::new(),
        size_by_type: std::collections::HashMap::new(),
    })
}

/// 清理过期结果文件
#[tauri::command]
pub async fn cleanup_expired_results(
    state: State<'_, AppState>,
) -> Result<crate::business::services::workflow_result_service::CleanupResult, String> {
    info!("清理过期结果文件");

    // TODO: 从AppState获取WorkflowResultService实例
    // 暂时返回空结果
    Ok(crate::business::services::workflow_result_service::CleanupResult {
        files_deleted: 0,
        space_freed_mb: 0.0,
        errors: Vec::new(),
    })
}

/// 批量清理执行结果
#[tauri::command]
pub async fn batch_cleanup_execution_results(
    execution_ids: Vec<i64>,
    state: State<'_, AppState>,
) -> Result<crate::business::services::workflow_result_service::CleanupResult, String> {
    info!("批量清理执行结果: {:?}", execution_ids);

    // TODO: 从AppState获取WorkflowResultService实例
    // 暂时返回空结果
    Ok(crate::business::services::workflow_result_service::CleanupResult {
        files_deleted: 0,
        space_freed_mb: 0.0,
        errors: Vec::new(),
    })
}

// 辅助函数：获取CPU使用率
fn get_cpu_usage() -> Option<f64> {
    use sysinfo::System;

    let mut system = System::new_all();
    system.refresh_cpu();

    // 等待一小段时间以获得准确的CPU使用率
    std::thread::sleep(std::time::Duration::from_millis(200));
    system.refresh_cpu();

    let cpu_usage: f64 = system.cpus().iter()
        .map(|cpu| cpu.cpu_usage() as f64)
        .sum::<f64>() / system.cpus().len() as f64;

    Some(cpu_usage)
}

// 辅助函数：获取内存使用率
fn get_memory_usage() -> Option<f64> {
    use sysinfo::System;

    let mut system = System::new_all();
    system.refresh_memory();

    let total_memory = system.total_memory();
    let used_memory = system.used_memory();

    if total_memory > 0 {
        Some((used_memory as f64 / total_memory as f64) * 100.0)
    } else {
        None
    }
}

// 辅助函数：获取磁盘使用率
fn get_disk_usage() -> Option<f64> {
    use sysinfo::Disks;

    let disks = Disks::new_with_refreshed_list();

    // 获取主磁盘的使用率
    if let Some(disk) = disks.iter().next() {
        let total_space = disk.total_space();
        let available_space = disk.available_space();
        let used_space = total_space - available_space;

        if total_space > 0 {
            Some((used_space as f64 / total_space as f64) * 100.0)
        } else {
            None
        }
    } else {
        None
    }
}

// 辅助函数：计算每分钟请求数
fn calculate_requests_per_minute(stats: &crate::data::repositories::workflow_execution_record_repository::ExecutionStatistics) -> u32 {
    // 基于今天的总执行数估算每分钟请求数
    let total_today = stats.total_executions;
    let hours_passed = chrono::Utc::now().hour() + 1; // 至少1小时
    let minutes_passed = hours_passed * 60;

    if minutes_passed > 0 {
        (total_today * 60) / minutes_passed
    } else {
        0
    }
}

// 辅助函数：获取系统运行时间
fn get_uptime_hours() -> f64 {
    use sysinfo::System;

    System::uptime() as f64 / 3600.0 // 转换为小时
}