Files
iAs/src/main.rs
T
wunianxiao b2fe054eaf feat: 高德地图工具 + 多轮 bug 修复
新增:
- 高德地图 6 个内置工具: amap_poi_search, amap_geocode, amap_reverse_geocode, amap_route_plan, amap_travel_plan, amap_map_link
- CLI 子命令: ias tool amap (poi-search/geocode/route-plan/travel-plan/map-link)
- 工具优先级指南: build_capability_guide() 含 amap > weather > web_search 优先级
- DEFAULT_SYSTEM_PROMPT 内置工具优先级说明(不再依赖环境变量)

Bug 修复:
1. (HIGH) call_capability 参数契约修复 — 新增 unpack_call_params() 统一解包 prompt 字段
2. (MEDIUM) 天气 hours=0 不再调用逐时 API
3. (MEDIUM) 长期记忆 daemon 双写缓存+DB,无 DB 不丢失
4. (HIGH) 审批流程状态语义修复 — handle_reply 返回 ApprovalDecision,拒绝/过期不再当作通过
5. (HIGH) 审批有效期基于 expires_at 时间戳而非 receiver drop
6. (MEDIUM) 摘要保存改为 current_user_id 与读取一致
7. (MEDIUM) worker 审批通过后删除孤立 tool result,仅保留 approved_tool 状态放行

架构:
- daemon + worker IPC 架构 (Unix Domain Socket)
- build_capability_guide 共享函数消除 main.rs/worker.rs 重复
2026-06-03 17:01:04 +08:00

1018 lines
37 KiB
Rust

mod cli;
mod context;
mod daemon;
mod db;
mod ipc;
mod llm;
mod logger;
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::{Conversation, ConversationConfig, DEFAULT_SYSTEM_PROMPT, ToolExecutor, Usage};
use std::sync::Arc;
use tools::approval::{ApprovalDecision, ApprovalManager};
use tools::types::ExecutionContext;
use tracing::{error, info};
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 } => {
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(|_| ())
.map_err(|e| e)
})
})
};
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 {
if 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 {
if 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 {
if 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 {
if 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 (reply, _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 {
if 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 {
if 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 {
if let Err(e) = send(&ctx.user_id, &msg).await {
return Err(e);
}
}
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!("{}", r.output); }
}
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!("{}", r.output); }
}
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!("{}", r.output); }
}
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!("{}", r.output); }
}
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!("{}", r.output); }
}
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!("{}", r.output); }
}
}
}