//! ## iAs —— 微信 AI 智能助手（入口）
//!
//! ### 系统架构概览
//!
//! ```text
//! CLI (main.rs → clap)
//!   ├── ias login          → 扫码登录，保存 token 到 DB 或文件
//!   ├── ias listen --llm   → Daemon 模式（主运行模式）
//!   │     └── daemon.rs: 长轮询 → MessageQueue → 3 个 tokio 消费者
//!   │         ├── LLM Consumer  → Conversation.chat_with_tools() → DeepSeek API
//!   │         ├── Tool Consumer → BuiltinRegistry.execute() / ApprovalManager
//!   │         └── Send Consumer → WeChatClient.send_message()
//!   ├── ias service         → 等同 listen --llm 但启用文件日志
//!   ├── ias daemon          → 守护进程入口（等同 listen --llm）
//!   ├── ias tool <tool>     → 直接调用内置工具（无需登录）
//!   └── ias usage           → Token 消耗统计查询
//! ```
//!
//! ### 数据流
//! ```text
//! 微信消息 → 存 chat_records → 加载历史 + 记忆 → 构建 LLM 上下文
//!   → Conversation.chat_with_tools() → LLM 回复或调工具
//!   → 高风险工具走审批 → 工具结果回喂 LLM → 最终回复发送
//! ```
//!
//! ### 关键设计决策
//! 1. **单进程架构** — 旧版 daemon+worker 分离模式已废弃，统一用 tokio task
//! 2. **公平队列** — MessageQueue 按用户轮转，防止一个用户刷屏饿死其他人
//! 3. **可选数据库** — PostgreSQL 不可用时回退到文件存储
//! 4. **两层元工具** — LLM 通过 query_capabilities / call_capability 间接调用工具

mod channel;
mod cli;
mod context;
mod daemon;
mod db;
mod ipc;
mod llm;
mod logger;
mod queue;
mod scheduler;
mod state;
mod tools;
mod wechat;
mod worker;

use clap::Parser;
use cli::{AmapAction, Cli, Commands, MemosAction, ToolCommand};
use context::MemoryStore;
use db::Database;
use llm::{ChatResult, Conversation, ConversationConfig, DEFAULT_SYSTEM_PROMPT, ToolExecutor, Usage};
use std::sync::Arc;
use tools::approval::{ApprovalDecision, ApprovalManager};
use tools::types::ExecutionContext;
use tracing::{error, info, warn};
use wechat::client::WeChatClient;

#[tokio::main]
async fn main() {
    let cli = Cli::parse();
    let is_service = matches!(cli.command, Commands::Service);
    let log_dir = dirs::home_dir()
        .unwrap_or_else(|| std::path::PathBuf::from("."))
        .join(".ias")
        .join("logs");
    let log_dir_str = log_dir.to_string_lossy().to_string();
    logger::init_logger(Some(&log_dir_str), is_service);

    // .env 加载：先当前目录，再 ~/.ias/.env
    if std::path::Path::new(".env").exists() {
        dotenvy::dotenv().ok();
    } else if let Ok(home) = std::env::var("HOME") {
        let fallback = std::path::PathBuf::from(&home).join(".ias").join(".env");
        if fallback.exists() {
            dotenvy::from_path(&fallback).ok();
            tracing::info!("使用全局环境配置: {}", fallback.display());
        }
    }

    let file_state = state::StateManager::new(".data/weixin-ilink");

    // 工具命令无需登录/数据库，提前处理
    let tool_cmd = match &cli.command {
        Commands::Tool(cmd) => Some(cmd),
        _ => None,
    };
    if let Some(cmd) = tool_cmd {
        cmd_tool(cmd.clone()).await;
        return;
    }

    let database = match Database::connect().await {
        Ok(db) => {
            info!("✅ 数据库连接成功");
            Some(Arc::new(db))
        }
        Err(e) => {
            info!("数据库不可用，使用文件存储: {}", e);
            None
        }
    };

    // 长期记忆存储
    let memory_store = Arc::new(MemoryStore::new(
        database.as_ref().map(|db| Arc::new(db.pool().clone())),
    ));
    memory_store.load("").await;

    match cli.command {
        Commands::Login { timeout } => {
            cmd_login(timeout, &database, &file_state).await;
        }
        Commands::Listen {
            llm: enable_llm,
            echo,
        } => {
            cmd_listen(enable_llm, echo, &database, &file_state, &memory_store).await;
        }
        Commands::Send {
            to,
            text,
            context_token,
        } => {
            cmd_send(&to, &text, context_token.as_deref(), &database, &file_state).await;
        }
        Commands::Whoami => {
            cmd_whoami(&database, &file_state).await;
        }
        Commands::Usage {
            since,
            until,
            model,
        } => {
            cmd_usage(&database, since, until, model).await;
        }
        Commands::Service => cmd_listen(true, false, &database, &file_state, &memory_store).await,
        Commands::Daemon { sock } => {
            cmd_daemon(sock, &database, &file_state, &memory_store).await;
        }
        Commands::Worker { sock } => {
            warn!("Worker 模式已废弃，请使用 daemon 模式");
            #[allow(deprecated)]
            if let Err(e) = worker::run(&sock).await {
                error!("Worker 失败: {}", e);
            }
        }
        Commands::Tool(..) => unreachable!("Tool 命令已提前处理"),
    }
}

// ─── 命令实现 ───

async fn cmd_daemon(
    sock_path: String,
    database: &Option<Arc<Database>>,
    file_state: &state::StateManager,
    memory_store: &Arc<MemoryStore>,
) {
    daemon::run(sock_path, database, file_state, memory_store).await;
}

async fn cmd_login(
    timeout_secs: u64,
    database: &Option<Arc<Database>>,
    file_state: &state::StateManager,
) {
    let client = WeChatClient::new(None);

    match client
        .login(|url| println!("二维码链接: {}", url), timeout_secs)
        .await
    {
        Ok(result) => {
            let auth = state::AuthState {
                token: result.token.clone(),
                account_id: result.account_id.clone(),
                base_url: result.base_url.clone(),
            };

            // 优先存数据库
            if let Some(db) = database {
                if let Err(e) = db::models::save_auth(db.pool(), &auth).await {
                    error!("保存 auth 到数据库失败: {}", e);
                    file_state.save_auth(&auth);
                } else {
                    info!("认证信息已保存到数据库");
                    // 清理文件状态（迁移完成）
                    file_state.clear_auth();
                }
            } else {
                file_state.save_auth(&auth);
            }

            println!("\n✅ 登录成功！");
            println!("   账号: {}", result.account_id);
            println!(
                "   Token: {}...",
                &result.token[..std::cmp::min(16, result.token.len())]
            );
            println!("   API: {}", result.base_url);
        }
        Err(e) => error!("登录失败: {}", e),
    }
}

async fn cmd_listen(
    enable_llm: bool,
    echo: bool,
    database: &Option<Arc<Database>>,
    file_state: &state::StateManager,
    memory_store: &Arc<MemoryStore>,
) {
    // 从数据库或文件加载认证
    let auth = 'load: {
        if let Some(db) = database {
            if let Some(a) = db::models::load_auth(db.pool()).await {
                break 'load Some(a);
            }
            // 尝试从文件迁移
            if let Some(fa) = file_state.load_auth() {
                let a = state::AuthState {
                    token: fa.token,
                    account_id: fa.account_id,
                    base_url: fa.base_url,
                };
                if let Err(e) = db::models::save_auth(db.pool(), &a).await {
                    error!("保存认证信息失败: {}", e);
                }
                break 'load Some(a);
            }
        } else if let Some(a) = file_state.load_auth() {
            break 'load Some(a);
        }
        break 'load None;
    };

    let auth = match auth {
        Some(a) => a,
        None => {
            error!("未登录，请先执行 login 命令");
            return;
        }
    };

    let mut client = WeChatClient::new(Some(auth.base_url.clone()));
    client
        .set_auth(&auth.token, &auth.account_id, &auth.base_url)
        .await;

    // 从文件恢复 runtime 状态（get_updates_buf 暂时保留文件存储）
    if let Some(r) = file_state.load_runtime() {
        client.set_updates_buf(&r.get_updates_buf).await;
    }

    if let Err(e) = client.notify_start().await {
        error!("注册监听器失败: {}", e);
        return;
    }

    let approval_manager = Arc::new(ApprovalManager::new(
        database.as_ref().map(|db| Arc::new(db.pool().clone())),
    ));

    let conversation = if enable_llm {
        let sys_prompt = std::env::var("WEIXIN_LLM_SYSTEM_PROMPT")
            .unwrap_or_else(|_| DEFAULT_SYSTEM_PROMPT.to_string());
        let model =
            std::env::var("DEEPSEEK_MODEL").unwrap_or_else(|_| "deepseek-v4-flash".to_string());

        let mut cfg = ConversationConfig {
            system_prompt: sys_prompt,
            model,
            ..Default::default()
        };

        // 各项能力通过这两个元工具实现：查询能力 + 调用能力
        // 具体工具描述通过 query_capabilities 返回
        let mut tools_list: Vec<serde_json::Value> = Vec::new();

        // query_capabilities：列出所有可用工具及其说明
        tools_list.push(serde_json::json!({
            "type": "function",
            "function": {
                "name": "query_capabilities",
                "description": "列出所有可用工具的详细说明、参数格式和调用示例。在需要了解有哪些工具可用时首先调用此工具。",
                "parameters": { "type": "object", "properties": {} }
            }
        }));

        // call_capability：按名称调用任意工具
        tools_list.push(serde_json::json!({
            "type": "function",
            "function": {
                "name": "call_capability",
                "description": "调用一个已注册的工具。name 为工具名（来自 query_capabilities），工具所需的具体参数（如 location、days）应直接放在 JSON 中。",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "name": { "type": "string", "description": "工具名称" },
                        "prompt": { "type": "string", "description": "json格式参数，来自 query_capabilities 中的对应工具的描述。" }
                    },
                    "required": ["name"]
                }
            }
        }));

        // 上下文工具（仍然直接暴露给 LLM）
        tools_list.push(serde_json::json!({
            "type": "function",
            "function": {
                "name": "read_memories",
                "description": "读取用户的长期记忆（偏好、个人信息、约定）",
                "parameters": { "type": "object", "properties": {} }
            }
        }));
        tools_list.push(serde_json::json!({
            "type": "function",
            "function": {
                "name": "write_memory",
                "description": "记录用户的重要信息或偏好",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "content": { "type": "string", "description": "记忆内容" }
                    },
                    "required": ["content"]
                }
            }
        }));
        tools_list.push(serde_json::json!({
            "type": "function",
            "function": {
                "name": "read_summaries",
                "description": "读取历史会话摘要",
                "parameters": { "type": "object", "properties": {} }
            }
        }));

        cfg.tools = Some(tools_list);

        // 创建 Conversation
        let mut conv = match Conversation::new(cfg) {
            Ok(c) => {
                // 设置 db_pool（启动时不加载消息，等第一条消息到达后再按需恢复）
                if let Some(db) = database {
                    let session = c.session();
                    let mut s = session.lock().await;
                    s.db_pool = Some(Arc::new(db.pool().clone()));
                }
                info!("LLM 已初始化: {} / {}", c.provider_name(), c.model());
                c
            }
            Err(e) => {
                error!("初始化 LLM 失败: {}", e);
                return;
            }
        };

        // 构建工具执行器
        let session = conv.session();
        let approval = approval_manager.clone();
        let memory_store = memory_store.clone();
        let send_wechat: tools::types::WechatSender = {
            let client = client.clone();
            Arc::new(move |user_id: &str, text: &str| {
                let client = client.clone();
                let uid = user_id.to_string();
                let msg = text.to_string();
                Box::pin(async move {
                    client
                        .send_text(&uid, &msg, None)
                        .await
                        .map(|_| ())
                })
            })
        };

        let executor: ToolExecutor = Arc::new(move |name: &str, args_json: &str| {
            let approval = approval.clone();
            let send = send_wechat.clone();
            let session = session.clone();
            let memory_store = memory_store.clone();
            let n = name.to_string();
            let args = args_json.to_string();

            Box::pin(async move {
                let user_id = session.lock().await.current_user_id.clone();

                // 上下文工具直接处理
                if n == "read_memories" {
                    return Ok(memory_store.read_for(&user_id).await);
                }
                if n == "write_memory" {
                    let params: serde_json::Value = serde_json::from_str(&args).unwrap_or_default();
                    let content = params.get("content").and_then(|v| v.as_str()).unwrap_or("");
                    if content.is_empty() {
                        return Ok("请提供 content 参数".to_string());
                    }
                    return Ok(memory_store.write_for(&user_id, content).await);
                }
                if n == "read_summaries" {
                    return Ok(context::tools::read_summaries(&session).await);
                }

                // query_capabilities: 列出所有内置工具
                if n == "query_capabilities" {
                    let specs = tools::builtin::BuiltinRegistry::specs();
                    return Ok(tools::build_capability_guide(&specs));
                }

                // 确定目标工具名和参数
                // call_capability: 从 {name, prompt} 中提取 name，从 prompt 中解包真实参数
                let (target_name, target_args) = if n == "call_capability" {
                    let cp: serde_json::Value = serde_json::from_str(&args).unwrap_or_default();
                    let name = cp
                        .get("name")
                        .and_then(|v| v.as_str())
                        .map(|s| s.to_string())
                        .unwrap_or_default();
                    let unpacked = tools::unpack_call_params(&cp);
                    (name, serde_json::to_string(&unpacked).unwrap_or_default())
                } else {
                    (n.clone(), args.clone())
                };

                // 内置工具
                if tools::builtin::BuiltinRegistry::is_builtin(&target_name) {
                    if tools::builtin::BuiltinRegistry::is_high_risk(&target_name) {
                        let mut ctx = ExecutionContext::new(&user_id);
                        ctx = ctx.with_approval(approval.clone());
                        ctx = ctx.with_wechat(send.clone());
                        let approved = builtin_approve(&ctx, &target_name).await;
                        match approved {
                            Ok(true) => {}
                            Ok(false) => return Ok(SkillResult::rejected(&target_name).output),
                            Err(e) => return Ok(e),
                        }
                    }
                    if let Some(result) =
                        tools::builtin::BuiltinRegistry::execute(&target_name, &target_args).await
                    {
                        return Ok(result.output);
                    }
                }

                Ok(format!("未知工具: {}", target_name))
            })
        });

        conv.set_tool_executor(executor);

        Some(Arc::new(conv))
    } else {
        None
    };

    let account_id = auth.account_id.clone();

    // 启动调度器（如果数据库可用）
    if let Some(sched_db) = database.as_ref().map(|db| db.pool().clone()) {
        let sched_client = client.clone();
        tokio::spawn(async move {
            let scheduler = scheduler::Scheduler::new(Some(Arc::new(sched_db)));
            scheduler
                .run(move |to: &str, _name: &str, msg: &str| {
                    let c = sched_client.clone();
                    let uid = to.to_string();
                    let text = msg.to_string();
                    tokio::task::spawn(async move {
                        if let Err(e) = c.send_text(&uid, &text, None).await {
                            tracing::error!("发送调度结果失败: {}", e);
                        }
                    });
                    Ok(())
                })
                .await;
        });
        info!("定时任务调度器已启动");
        // 审批定期清理
        let approval_clean = approval_manager.clone();
        tokio::spawn(async move {
            loop {
                tokio::time::sleep(std::time::Duration::from_secs(30)).await;
                approval_clean.clean_expired().await;
            }
        });
    }

    info!("开始监听消息 (llm={}, echo={})...", enable_llm, echo);
    println!("已开始监听消息，按 Ctrl+C 退出");

    let shutdown = async { tokio::signal::ctrl_c().await.expect("Ctrl+C 失败") };

    tokio::select! {
        _ = shutdown => {
            info!("收到退出信号，注销监听器...");
            let _ = client.notify_stop().await;
            file_state.save_runtime(&client.get_updates_buf().await);
            info!("已退出");
        }
        _ = listen_loop(&client, enable_llm, echo, &account_id, database, file_state, conversation, &approval_manager, memory_store) => {}
    }
}

async fn listen_loop(
    client: &WeChatClient,
    enable_llm: bool,
    echo: bool,
    account_id: &str,
    database: &Option<Arc<Database>>,
    file_state: &state::StateManager,
    conversation: Option<Arc<Conversation>>,
    approval_manager: &ApprovalManager,
    memory_store: &Arc<MemoryStore>,
) {
    let last_user_id = Arc::new(tokio::sync::Mutex::new(String::new()));
    loop {
        match client.receive_messages().await {
            Ok(resp) => {
                // 持久化 runtime buf
                if !resp.get_updates_buf.is_empty() {
                    file_state.save_runtime(&resp.get_updates_buf);
                }

                for msg in &resp.msgs {
                    if msg.msg_type != Some(wechat::types::WeixinMessage::TYPE_USER) {
                        continue;
                    }

                    let from = msg.from_user_id.as_deref().unwrap_or("unknown");
                    let text = msg.text_content().unwrap_or("(非文本消息)");
                    let ctx_token = msg.context_token.as_deref();
                    let msg_id = msg.message_id.map(|id| id.to_string()).unwrap_or_default();

                    info!("收到消息 from={}: {}", from, text);

                    // === 入库：收到的消息 ===
                    if let Some(db) = database
                        && let Err(e) = db::models::insert_chat_record(
                            db.pool(),
                            "inbound",
                            from,
                            account_id,
                            text,
                            "wechat",
                            ctx_token,
                            &msg_id,
                        )
                        .await
                        {
                            error!("保存聊天记录失败: {}", e);
                        }

                    // Echo 模式
                    if echo {
                        match client.send_text(from, text, ctx_token).await {
                            Ok(sent_id) => {
                                info!("回显成功 msg_id={}", sent_id);
                                // === 入库：发送的回显 ===
                                if let Some(db) = database
                                    && let Err(e) = db::models::insert_chat_record(
                                        db.pool(),
                                        "outbound",
                                        from,
                                        account_id,
                                        text,
                                        "echo",
                                        ctx_token,
                                        &sent_id,
                                    )
                                    .await
                                    {
                                        error!("保存聊天记录失败: {}", e);
                                    }
                            }
                            Err(e) => error!("回显失败: {}", e),
                        }
                    }

                    // 审批回复检查
                    let is_approval_reply =
                        approval_manager.handle_reply(from, text).await.is_some();

                    if is_approval_reply {
                        info!("消息匹配审批确认码，不传给 LLM");
                        continue;
                    }

                    // 用户切换：清空上下文，加载新用户历史
                    {
                        let mut last_user = last_user_id.lock().await;
                        if *last_user != *from {
                            info!("用户切换: {} → {}", *last_user, from);
                            if let Some(conv) = &conversation {
                                let session = conv.session();
                                let mut s = session.lock().await;
                                s.messages.clear();
                                s.checkpoint = 0;
                                s.summaries.clear();
                                s.last_user_at = None;
                                s.current_user_id = from.to_string();
                                // 加载该用户最近 20 条历史
                                s.load_recent_messages(20).await;
                                drop(s);
                                memory_store.load(from).await;
                            }
                        }
                        *last_user = from.to_string();
                    }

                    // LLM 回复（异步执行，避免审批阻塞主循环）
                    if enable_llm
                        && let Some(conv) = &conversation {
                            let conv = conv.clone();
                            let client = client.clone();
                            let database = database.clone();
                            let from_owned = from.to_string();
                            let text_owned = text.to_string();
                            let ctx_owned = ctx_token.map(String::from);
                            let aid = account_id.to_string();

                            tokio::spawn(async move {
                                let reply_result = if conv.spec().tools.is_some() {
                                    generate_reply_with_tools(&conv, text_owned, &database).await
                                } else {
                                    generate_reply(&conv, text_owned, &database).await
                                };
                                let reply = match reply_result {
                                    Ok(r) if !r.trim().is_empty() => r,
                                    Ok(_) => "抱歉，生成回复为空，请重试。".to_string(),
                                    Err(e) => format!("处理消息时出错：{:.200}", e),
                                };
                                match client
                                    .send_text(&from_owned, &reply, ctx_owned.as_deref())
                                    .await
                                {
                                    Ok(sent_id) => {
                                        info!("LLM 回复成功 msg_id={}", sent_id);
                                        if let Some(db) = database
                                            && let Err(e) = db::models::insert_chat_record(
                                                db.pool(),
                                                "outbound",
                                                &from_owned,
                                                &aid,
                                                &reply,
                                                "llm",
                                                ctx_owned.as_deref(),
                                                &sent_id,
                                            )
                                            .await
                                            {
                                                error!("保存聊天记录失败: {}", e);
                                            }
                                    }
                                    Err(e) => error!("发送 LLM 回复失败: {}", e),
                                }
                            });
                        }
                }
            }
            Err(e) => {
                if !e.contains("超时") && !e.contains("timeout") {
                    error!("接收消息失败: {}", e);
                    tokio::time::sleep(std::time::Duration::from_secs(2)).await;
                }
            }
        }
    }
}

async fn generate_reply(
    conv: &Conversation,
    user_text: String,
    db: &Option<Arc<Database>>,
) -> Result<String, String> {
    let mut handle = conv.chat(user_text).await?;
    // 先消费流（usage 在 Done chunk 中才可用）
    let reply = handle.consume().await?;
    if let Some(u) = handle.get_usage() {
        info!(
            "📊 Token: {} 总 / {} 提示 / {} 生成 | 缓存命中 {} | 缓存未命中 {}",
            u.total_tokens,
            u.prompt_tokens,
            u.completion_tokens,
            u.prompt_cache_hit_tokens,
            u.prompt_cache_miss_tokens
        );
        store_usage(db, "", conv.model(), conv.provider_name(), u).await;
    }
    Ok(reply)
}

async fn generate_reply_with_tools(
    conv: &Conversation,
    user_text: String,
    db: &Option<Arc<Database>>,
) -> Result<String, String> {
    let ChatResult { reply, used_tools: _used_tools, usage, .. } = conv.chat_with_tools(user_text).await?;
    if let Some(u) = &usage {
        info!(
            "📊 Token: {} 总 / {} 提示 / {} 生成 | 缓存命中 {} | 缓存未命中 {}",
            u.total_tokens,
            u.prompt_tokens,
            u.completion_tokens,
            u.prompt_cache_hit_tokens,
            u.prompt_cache_miss_tokens
        );
        store_usage(db, "", conv.model(), conv.provider_name(), u).await;
    }
    Ok(reply)
}

async fn store_usage(
    db: &Option<Arc<Database>>,
    user_id: &str,
    model: &str,
    provider: &str,
    u: &Usage,
) {
    if let Some(db) = db
        && let Err(e) = db::models::insert_llm_usage(
            db.pool(),
            user_id,
            model,
            provider,
            u.prompt_tokens,
            u.completion_tokens,
            u.prompt_cache_hit_tokens,
            u.prompt_cache_miss_tokens,
        )
        .await
        {
            tracing::error!("存储 LLM 用量失败: {}", e);
        }
}

async fn cmd_whoami(database: &Option<Arc<Database>>, file_state: &state::StateManager) {
    let auth: Option<state::AuthState> = if let Some(db) = database {
        db::models::load_auth(db.pool()).await
    } else {
        file_state.load_auth()
    };

    match auth {
        Some(a) => {
            println!("账号: {}", a.account_id);
            println!("Token: {}...", &a.token[..std::cmp::min(16, a.token.len())]);
            println!("API: {}", a.base_url);
            if database.is_some() {
                println!("存储: PostgreSQL");
            } else {
                println!("存储: 文件 ({})", file_state.state_dir().display());
            }
        }
        None => println!("未登录，请先执行 login 命令"),
    }
}

async fn cmd_usage(
    database: &Option<Arc<Database>>,
    since: Option<String>,
    until: Option<String>,
    model: Option<String>,
) {
    let db = match database {
        Some(d) => d,
        None => {
            println!("数据库未配置，无法查询用量");
            return;
        }
    };

    let since_dt = since.and_then(|s| {
        chrono::DateTime::parse_from_rfc3339(&s)
            .ok()
            .map(|d| d.with_timezone(&chrono::Utc))
    });
    let until_dt = until.and_then(|s| {
        chrono::DateTime::parse_from_rfc3339(&s)
            .ok()
            .map(|d| d.with_timezone(&chrono::Utc))
    });
    let model_ref = model.as_deref();

    match db::models::query_llm_usage_stats(db.pool(), since_dt, until_dt, model_ref).await {
        Ok(stats) => {
            let hit_rate = if stats.total_cache_hit + stats.total_cache_miss > 0 {
                stats.total_cache_hit as f64
                    / (stats.total_cache_hit + stats.total_cache_miss) as f64
                    * 100.0
            } else {
                0.0
            };

            println!("📊 LLM Token 使用统计");
            println!("{:=<40}", "");
            println!("调用次数:       {}", stats.total_calls);
            println!(
                "Prompt Tokens:   {} ({:.1}K)",
                stats.total_prompt_tokens,
                stats.total_prompt_tokens as f64 / 1000.0
            );
            println!(
                "生成 Tokens:    {} ({:.1}K)",
                stats.total_completion_tokens,
                stats.total_completion_tokens as f64 / 1000.0
            );
            println!(
                "总 Tokens:      {} ({:.1}K)",
                stats.total_tokens,
                stats.total_tokens as f64 / 1000.0
            );
            println!(
                "缓存命中:       {} ({:.1}%)",
                stats.total_cache_hit, hit_rate
            );
            println!(
                "缓存未命中:     {} ({:.1}%)",
                stats.total_cache_miss,
                100.0 - hit_rate
            );
        }
        Err(e) => println!("查询失败: {}", e),
    }
}

async fn cmd_send(
    to: &str,
    text: &str,
    context_token: Option<&str>,
    database: &Option<Arc<Database>>,
    file_state: &state::StateManager,
) {
    let auth: Option<state::AuthState> = if let Some(db) = database {
        db::models::load_auth(db.pool()).await
    } else {
        file_state.load_auth()
    };

    let auth = match auth {
        Some(a) => a,
        None => {
            error!("未登录，请先执行 login 命令");
            return;
        }
    };

    let base_url = auth.base_url.clone();
    let account_id = auth.account_id.clone();
    let mut client = WeChatClient::new(Some(auth.base_url));
    client
        .set_auth(&auth.token, &auth.account_id, &base_url)
        .await;

    match client.send_text(to, text, context_token).await {
        Ok(msg_id) => {
            println!("✅ 消息已发送, msg_id={}", msg_id);

            // 入库：发送的消息
            if let Some(db) = database
                && let Err(e) = db::models::insert_chat_record(
                    db.pool(),
                    "outbound",
                    to,
                    &account_id,
                    text,
                    "manual",
                    context_token,
                    &msg_id,
                )
                .await
                {
                    error!("保存聊天记录失败: {}", e);
                }
        }
        Err(e) => error!("发送失败: {}", e),
    }
}

use tools::types::SkillResult;

async fn builtin_approve(ctx: &ExecutionContext, name: &str) -> Result<bool, String> {
    let manager = match ctx.approval_manager.as_ref() {
        Some(m) => m.clone(),
        None => return Ok(true),
    };
    let (code, rx) = manager.create(&ctx.user_id, name).await?;

    let msg = format!(
        "⚠️ 操作确认\n\n技能：{}\n\n确认码：{}\n\n回复确认码以继续\n回复 0 或「取消」以取消\n(5分钟内有效，最多3次尝试)",
        name, code
    );
    if let Some(ref send) = ctx.send_wechat {
        send(&ctx.user_id, &msg).await?
    }

    match tokio::time::timeout(std::time::Duration::from_secs(300), rx).await {
        Ok(Ok(ApprovalDecision::Approved)) => Ok(true),
        _ => Ok(false),
    }
}

// ─── 工具 CLI 命令 ───

async fn cmd_tool(cmd: ToolCommand) {
    match cmd {
        ToolCommand::Datetime => {
            let result = tools::builtins::datetime::execute();
            println!("{}", result.output);
        }
        ToolCommand::Memos(action) => {
            let args = match action {
                MemosAction::List => serde_json::json!({"action": "list"}),
                MemosAction::Add { content } => {
                    serde_json::json!({"action": "add", "content": content})
                }
                MemosAction::Delete { id } => {
                    serde_json::json!({"action": "delete", "id": id})
                }
            };
            let args_str = serde_json::to_string(&args).unwrap_or_default();
            let result = tools::builtins::memos::execute(&args_str).await;
            println!("{}", result.output);
        }
        ToolCommand::Weather { location, days } => {
            let params = serde_json::json!({"location": location, "days": days});
            let result = tools::builtins::weather::execute(params).await;
            println!("{}", result.output);
        }
        ToolCommand::Search {
            query,
            max_results,
            no_answer,
            topic,
            time_range,
        } => {
            let mut params = serde_json::json!({
                "query": query,
                "max_results": max_results,
            });
            if no_answer {
                params["include_answer"] = serde_json::json!(false);
            }
            if let Some(t) = topic {
                params["topic"] = serde_json::json!(t);
            }
            if let Some(tr) = time_range {
                params["time_range"] = serde_json::json!(tr);
            }
            let result = tools::builtins::web_search::execute(params).await;
            println!("{}", result.output);
        }
        ToolCommand::Fetch { url } => {
            let params = serde_json::json!({"url": url});
            let result = tools::builtins::fetch_page::execute(params).await;
            println!("{}", result.output);
        }
        ToolCommand::Amap(action) => {
            cmd_amap(action).await;
        }
    }
}

async fn cmd_amap(action: AmapAction) {
    match action {
        AmapAction::PoiSearch {
            keywords,
            city,
            location,
            radius,
            page,
            offset,
        } => {
            let mut params = serde_json::json!({
                "keywords": keywords,
                "page": page,
                "offset": offset,
            });
            if let Some(c) = city {
                params["city"] = serde_json::json!(c);
            }
            if let Some(l) = location {
                params["location"] = serde_json::json!(l);
            }
            if let Some(r) = radius {
                params["radius"] = serde_json::json!(r);
            }
            let result = tools::builtins::amap::execute("amap_poi_search", params).await;
            if let Some(r) = result {
                println!(
                    "{}\n{}",
                    r.output,
                    serde_json::to_string(&r.data).unwrap_or_default()
                );
            }
        }
        AmapAction::Geocode { address, city } => {
            let mut params = serde_json::json!({"address": address});
            if let Some(c) = city {
                params["city"] = serde_json::json!(c);
            }
            let result = tools::builtins::amap::execute("amap_geocode", params).await;
            if let Some(r) = result {
                println!(
                    "{}\n{}",
                    r.output,
                    serde_json::to_string(&r.data).unwrap_or_default()
                );
            }
        }
        AmapAction::ReverseGeocode { location } => {
            let params = serde_json::json!({"location": location});
            let result = tools::builtins::amap::execute("amap_reverse_geocode", params).await;
            if let Some(r) = result {
                println!(
                    "{}\n{}",
                    r.output,
                    serde_json::to_string(&r.data).unwrap_or_default()
                );
            }
        }
        AmapAction::RoutePlan {
            r#type,
            origin,
            destination,
            city,
            waypoints,
            strategy,
        } => {
            let mut params = serde_json::json!({
                "type": r#type,
                "origin": origin,
                "destination": destination,
            });
            if let Some(c) = city {
                params["city"] = serde_json::json!(c);
            }
            if let Some(w) = waypoints {
                params["waypoints"] = serde_json::json!(w);
            }
            if let Some(s) = strategy {
                params["strategy"] = serde_json::json!(s);
            }
            let result = tools::builtins::amap::execute("amap_route_plan", params).await;
            if let Some(r) = result {
                println!(
                    "{}\n{}",
                    r.output,
                    serde_json::to_string(&r.data).unwrap_or_default()
                );
            }
        }
        AmapAction::TravelPlan {
            city,
            interests,
            route_type,
        } => {
            let interests_arr: Vec<serde_json::Value> = interests
                .split(',')
                .map(|s| serde_json::json!(s.trim()))
                .collect();
            let params = serde_json::json!({
                "city": city,
                "interests": interests_arr,
                "route_type": route_type,
            });
            let result = tools::builtins::amap::execute("amap_travel_plan", params).await;
            if let Some(r) = result {
                println!(
                    "{}\n{}",
                    r.output,
                    serde_json::to_string(&r.data).unwrap_or_default()
                );
            }
        }
        AmapAction::MapLink { data } => {
            let map_data: serde_json::Value =
                serde_json::from_str(&data).unwrap_or(serde_json::json!([]));
            let params = serde_json::json!({"map_data": map_data});
            let result = tools::builtins::amap::execute("amap_map_link", params).await;
            if let Some(r) = result {
                println!(
                    "{}\n{}",
                    r.output,
                    serde_json::to_string(&r.data).unwrap_or_default()
                );
            }
        }
    }
}