hack/tools/scripts/llm-key-hunter/results/_cache/content/cacr92_wereply.json

{"repo": "cacr92/wereply", "files": {"src-tauri/src/secret.rs": {"6a2debd152a2a8850bdb14c09a678e0c9ae5c792": {"t": 1785745833.5541017, "n": 1271, "h": "c59b368f3dae0425", "c": "use anyhow::{Context, Result};\nuse keyring::Entry;\n\nconst SERVICE_NAME: &str = \"wereply\";\nconst API_KEY_NAME: &str = \"deepseek_api_key\";\npub struct ApiKeyManager;\n\nimpl ApiKeyManager {\n    pub fn get_deepseek_api_key() -> Result<String> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .get_password()\n            .context(\"未找到 DeepSeek API 密钥，请在设置中配置\")\n    }\n\n    pub fn set_deepseek_api_key(api_key: &str) -> Result<()> {\n        if !api_key.starts_with(\"sk-\") {\n            anyhow::bail!(\"DeepSeek API 密钥格式错误\");\n        }\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .set_password(api_key)\n            .context(\"保存 API 密钥失败\")?;\n        Ok(())\n    }\n\n    pub fn delete_deepseek_api_key() -> Result<()> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .delete_password()\n            .context(\"删除 API 密钥失败\")?;\n        Ok(())\n    }\n\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn reject_invalid_key_format() {\n        let result = ApiKeyManager::set_deepseek_api_key(\"invalid-key\");\n        assert!(result.is_err());\n    }\n\n}\n"}, "d78359994f5ebfd7511992cd4bf234e555af47cd": {"t": 1785757008.1618214, "n": 1271, "h": "c59b368f3dae0425", "c": "use anyhow::{Context, Result};\nuse keyring::Entry;\n\nconst SERVICE_NAME: &str = \"wereply\";\nconst API_KEY_NAME: &str = \"deepseek_api_key\";\npub struct ApiKeyManager;\n\nimpl ApiKeyManager {\n    pub fn get_deepseek_api_key() -> Result<String> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .get_password()\n            .context(\"未找到 DeepSeek API 密钥，请在设置中配置\")\n    }\n\n    pub fn set_deepseek_api_key(api_key: &str) -> Result<()> {\n        if !api_key.starts_with(\"sk-\") {\n            anyhow::bail!(\"DeepSeek API 密钥格式错误\");\n        }\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .set_password(api_key)\n            .context(\"保存 API 密钥失败\")?;\n        Ok(())\n    }\n\n    pub fn delete_deepseek_api_key() -> Result<()> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .delete_password()\n            .context(\"删除 API 密钥失败\")?;\n        Ok(())\n    }\n\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn reject_invalid_key_format() {\n        let result = ApiKeyManager::set_deepseek_api_key(\"invalid-key\");\n        assert!(result.is_err());\n    }\n\n}\n"}, "35c2b998f21bc5e0a75fe2228ab6c54e0075287c": {"t": 1785757009.5194628, "n": 2589, "h": "b72b78d865dc8f37", "c": "use anyhow::{Context, Result};\nuse keyring::Entry;\n\nconst SERVICE_NAME: &str = \"wereply\";\nconst API_KEY_NAME: &str = \"deepseek_api_key\";\nconst WECHAT_DB_KEY_NAME: &str = \"wechat_db_key\";\n\npub struct ApiKeyManager;\n\nimpl ApiKeyManager {\n    pub fn get_deepseek_api_key() -> Result<String> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .get_password()\n            .context(\"未找到 DeepSeek API 密钥，请在设置中配置\")\n    }\n\n    pub fn set_deepseek_api_key(api_key: &str) -> Result<()> {\n        if !api_key.starts_with(\"sk-\") {\n            anyhow::bail!(\"DeepSeek API 密钥格式错误\");\n        }\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .set_password(api_key)\n            .context(\"保存 API 密钥失败\")?;\n        Ok(())\n    }\n\n    pub fn delete_deepseek_api_key() -> Result<()> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .delete_password()\n            .context(\"删除 API 密钥失败\")?;\n        Ok(())\n    }\n\n    pub fn get_wechat_db_key() -> Result<String> {\n        let entry = Entry::new(SERVICE_NAME, WECHAT_DB_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .get_password()\n            .context(\"未找到 WeChat 数据库密钥\")\n    }\n\n    pub fn set_wechat_db_key(key_hex: &str) -> Result<()> {\n        if !is_hex_string(key_hex) {\n            anyhow::bail!(\"WeChat 数据库密钥格式错误\");\n        }\n        let entry = Entry::new(SERVICE_NAME, WECHAT_DB_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .set_password(key_hex)\n            .context(\"保存 WeChat 数据库密钥失败\")?;\n        Ok(())\n    }\n\n    #[allow(dead_code)]\n    pub fn delete_wechat_db_key() -> Result<()> {\n        let entry = Entry::new(SERVICE_NAME, WECHAT_DB_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .delete_password()\n            .context(\"删除 WeChat 数据库密钥失败\")?;\n        Ok(())\n    }\n}\n\nfn is_hex_string(input: &str) -> bool {\n    if input.is_empty() || !input.len().is_multiple_of(2) {\n        return false;\n    }\n    input.chars().all(|ch| ch.is_ascii_hexdigit())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn reject_invalid_key_format() {\n        let result = ApiKeyManager::set_deepseek_api_key(\"invalid-key\");\n        assert!(result.is_err());\n    }\n\n    #[test]\n    fn reject_invalid_wechat_key_format() {\n        assert!(!is_hex_string(\"zz11\"));\n        assert!(!is_hex_string(\"123\"));\n        assert!(is_hex_string(\"aabbcc\"));\n    }\n}\n"}, "49b771fb17bdfd82cbd11d5fe95044d8144d5094": {"t": 1785757010.8604944, "n": 1270, "h": "73406cc1226f3f18", "c": "use anyhow::{Context, Result};\nuse keyring::Entry;\n\nconst SERVICE_NAME: &str = \"wereply\";\nconst API_KEY_NAME: &str = \"deepseek_api_key\";\n\npub struct ApiKeyManager;\n\nimpl ApiKeyManager {\n    pub fn get_deepseek_api_key() -> Result<String> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .get_password()\n            .context(\"未找到 DeepSeek API 密钥，请在设置中配置\")\n    }\n\n    pub fn set_deepseek_api_key(api_key: &str) -> Result<()> {\n        if !api_key.starts_with(\"sk-\") {\n            anyhow::bail!(\"DeepSeek API 密钥格式错误\");\n        }\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .set_password(api_key)\n            .context(\"保存 API 密钥失败\")?;\n        Ok(())\n    }\n\n    pub fn delete_deepseek_api_key() -> Result<()> {\n        let entry = Entry::new(SERVICE_NAME, API_KEY_NAME)\n            .context(\"初始化系统密钥链失败\")?;\n        entry\n            .delete_password()\n            .context(\"删除 API 密钥失败\")?;\n        Ok(())\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn reject_invalid_key_format() {\n        let result = ApiKeyManager::set_deepseek_api_key(\"invalid-key\");\n        assert!(result.is_err());\n    }\n}\n"}}, "src-tauri/src/message_pipeline.rs": {"6a2debd152a2a8850bdb14c09a678e0c9ae5c792": {"t": 1785745866.176238, "n": 3080, "h": "f688fa985424df02", "c": "use crate::deepseek;\nuse crate::ipc::{validate_message_new, MessageNewPayload};\nuse crate::secret::ApiKeyManager;\nuse crate::state::{AppState, ChatMessage};\nuse crate::types::{ErrorPayload, RuntimeState, SuggestionsUpdated};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\npub async fn handle_incoming_message(\n    app: &AppHandle,\n    state: &Arc<Mutex<AppState>>,\n    payload: MessageNewPayload,\n) {\n    if let Err(err) = validate_message_new(&payload) {\n        warn!(\"消息验证失败: {}\", err);\n        return;\n    }\n    if is_duplicate_message(state, &payload).await {\n        return;\n    }\n    record_message(state, &payload).await;\n    info!(\"收到新消息，生成回复建议\");\n    update_state(state, app, RuntimeState::Generating, \"\").await;\n    let context = {\n        let guard = state.lock().await;\n        guard.context_for_chat(&payload.chat_id)\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let app_handle = app.clone();\n    let state_handle = state.clone();\n    tokio::spawn(async move {\n        let api_key = ApiKeyManager::get_deepseek_api_key().ok();\n        let suggestions = deepseek::generate_suggestions(&config, api_key, &context)\n            .await\n            .unwrap_or_else(|_| Vec::new());\n        if suggestions.is_empty() {\n            warn!(\"生成建议为空\");\n            emit_error(\n                &app_handle,\n                ErrorPayload {\n                    code: \"SUGGESTION_EMPTY\".to_string(),\n                    message: \"未生成回复建议\".to_string(),\n                    recoverable: true,\n                },\n            );\n        } else {\n            info!(\"生成建议完成: {} 条\", suggestions.len());\n            let payload = SuggestionsUpdated {\n                chat_id: payload.chat_id.clone(),\n                suggestions,\n            };\n            let _ = app_handle.emit(\"suggestions.updated\", payload);\n        }\n        update_state(&state_handle, &app_handle, RuntimeState::Listening, \"\").await;\n    });\n}\n\nasync fn is_duplicate_message(state: &Arc<Mutex<AppState>>, payload: &MessageNewPayload) -> bool {\n    let guard = state.lock().await;\n    guard.is_duplicate(\n        &payload.chat_id,\n        &payload.msg_id,\n        &payload.text,\n        payload.timestamp,\n    )\n}\n\nasync fn record_message(state: &Arc<Mutex<AppState>>, payload: &MessageNewPayload) {\n    let mut guard = state.lock().await;\n    guard.record_message(\n        &payload.chat_id,\n        ChatMessage {\n            text: payload.text.clone(),\n            timestamp: payload.timestamp,\n            msg_id: payload.msg_id.clone(),\n        },\n    );\n}\n\nasync fn update_state(\n    state: &Arc<Mutex<AppState>>,\n    app: &AppHandle,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn emit_error(app: &AppHandle, payload: ErrorPayload) {\n    let _ = app.emit(\"error.raised\", payload);\n}\n"}, "7dd77db3e172aaa1b719cf934bd9a426eb44665e": {"t": 1785757006.2631085, "n": 3080, "h": "f688fa985424df02", "c": "use crate::deepseek;\nuse crate::ipc::{validate_message_new, MessageNewPayload};\nuse crate::secret::ApiKeyManager;\nuse crate::state::{AppState, ChatMessage};\nuse crate::types::{ErrorPayload, RuntimeState, SuggestionsUpdated};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\npub async fn handle_incoming_message(\n    app: &AppHandle,\n    state: &Arc<Mutex<AppState>>,\n    payload: MessageNewPayload,\n) {\n    if let Err(err) = validate_message_new(&payload) {\n        warn!(\"消息验证失败: {}\", err);\n        return;\n    }\n    if is_duplicate_message(state, &payload).await {\n        return;\n    }\n    record_message(state, &payload).await;\n    info!(\"收到新消息，生成回复建议\");\n    update_state(state, app, RuntimeState::Generating, \"\").await;\n    let context = {\n        let guard = state.lock().await;\n        guard.context_for_chat(&payload.chat_id)\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let app_handle = app.clone();\n    let state_handle = state.clone();\n    tokio::spawn(async move {\n        let api_key = ApiKeyManager::get_deepseek_api_key().ok();\n        let suggestions = deepseek::generate_suggestions(&config, api_key, &context)\n            .await\n            .unwrap_or_else(|_| Vec::new());\n        if suggestions.is_empty() {\n            warn!(\"生成建议为空\");\n            emit_error(\n                &app_handle,\n                ErrorPayload {\n                    code: \"SUGGESTION_EMPTY\".to_string(),\n                    message: \"未生成回复建议\".to_string(),\n                    recoverable: true,\n                },\n            );\n        } else {\n            info!(\"生成建议完成: {} 条\", suggestions.len());\n            let payload = SuggestionsUpdated {\n                chat_id: payload.chat_id.clone(),\n                suggestions,\n            };\n            let _ = app_handle.emit(\"suggestions.updated\", payload);\n        }\n        update_state(&state_handle, &app_handle, RuntimeState::Listening, \"\").await;\n    });\n}\n\nasync fn is_duplicate_message(state: &Arc<Mutex<AppState>>, payload: &MessageNewPayload) -> bool {\n    let guard = state.lock().await;\n    guard.is_duplicate(\n        &payload.chat_id,\n        &payload.msg_id,\n        &payload.text,\n        payload.timestamp,\n    )\n}\n\nasync fn record_message(state: &Arc<Mutex<AppState>>, payload: &MessageNewPayload) {\n    let mut guard = state.lock().await;\n    guard.record_message(\n        &payload.chat_id,\n        ChatMessage {\n            text: payload.text.clone(),\n            timestamp: payload.timestamp,\n            msg_id: payload.msg_id.clone(),\n        },\n    );\n}\n\nasync fn update_state(\n    state: &Arc<Mutex<AppState>>,\n    app: &AppHandle,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn emit_error(app: &AppHandle, payload: ErrorPayload) {\n    let _ = app.emit(\"error.raised\", payload);\n}\n"}}, "src-tauri/src/lib.rs": {"6a2debd152a2a8850bdb14c09a678e0c9ae5c792": {"t": 1785745878.0914934, "n": 32131, "h": "166f439f9959d04a", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status, UiPathStep, UiPathsStatus, UiTreeExport, UiTreeLearnResult,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        info!(\n            \"使用本地自动化路径启动监听: targets={}\",\n            targets.len()\n        );\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n            info!(\"本地自动化监听已启动\");\n        } else {\n            warn!(\"本地自动化监听启动失败: {}\", res.message);\n        }\n        return Ok(res);\n    }\n\n    info!(\"使用 Agent 路径启动监听\");\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"Agent 已连接，发送监听指令\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn export_wechat_ui_tree(\n    _state: State<'_, SharedState>,\n    max_depth: Option<u32>,\n    output_path: Option<String>,\n) -> Result<ApiResponse<UiTreeExport>, String> {\n    #[cfg(not(target_os = \"macos\"))]\n    {\n        let _ = app;\n        return Ok(api_err(\"仅支持 macOS\"));\n    }\n\n    #[cfg(target_os = \"macos\")]\n    {\n        let depth = max_depth.unwrap_or(10).min(32) as usize;\n        let output_path = output_path\n            .map(|path| path.trim().to_string())\n            .filter(|path| !path.is_empty());\n        let result = tokio::task::spawn_blocking(move || -> anyhow::Result<UiTreeExport> {\n            if !crate::ui_automation::macos::ax::check_accessibility() {\n                anyhow::bail!(\"缺少辅助功能权限\");\n            }\n            let client = crate::ui_automation::macos::AxClient::new()?;\n            let window = client\n                .front_window()\n                .ok_or_else(|| anyhow::anyhow!(\"WeChat window not found\"))?;\n            let tree = crate::ui_automation::macos::ax::snapshot_tree(&window, depth);\n            let json = serde_json::to_string_pretty(&tree)?;\n            if let Some(path) = output_path.as_ref() {\n                std::fs::write(path, &json)?;\n            }\n            Ok(UiTreeExport {\n                json,\n                saved_to: output_path,\n            })\n        })\n        .await;\n\n        match result {\n            Ok(Ok(payload)) => Ok(api_ok(payload)),\n            Ok(Err(err)) => Ok(api_err(err.to_string())),\n            Err(err) => Ok(api_err(format!(\"Automation task failed: {}\", err))),\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn learn_wechat_ui_paths(\n    app: AppHandle,\n    _state: State<'_, SharedState>,\n    max_depth: Option<u32>,\n    output_path: Option<String>,\n) -> Result<ApiResponse<UiTreeLearnResult>, String> {\n    #[cfg(not(target_os = \"macos\"))]\n    {\n        return Ok(api_err(\"仅支持 macOS\"));\n    }\n\n    #[cfg(target_os = \"macos\")]\n    {\n        let depth = max_depth.unwrap_or(10).min(32) as usize;\n        let output_path = output_path\n            .map(|path| path.trim().to_string())\n            .filter(|path| !path.is_empty());\n        let result = tokio::task::spawn_blocking(move || -> anyhow::Result<UiTreeLearnResult> {\n            if !crate::ui_automation::macos::ax::check_accessibility() {\n                anyhow::bail!(\"缺少辅助功能权限\");\n            }\n            let client = crate::ui_automation::macos::AxClient::new()?;\n            let window = client\n                .front_window()\n                .ok_or_else(|| anyhow::anyhow!(\"WeChat window not found\"))?;\n            let tree = crate::ui_automation::macos::ax::snapshot_tree(&window, depth);\n            let json = serde_json::to_string_pretty(&tree)?;\n            let root = crate::ui_automation::macos::ax_learn::parse_snapshot(&tree)\n                .ok_or_else(|| anyhow::anyhow!(\"解析 UI 树失败\"))?;\n            let learned = crate::ui_automation::macos::ax_learn::learn_paths(&root)\n                .map_err(|err| anyhow::anyhow!(err))?;\n            let mut written_files = Vec::new();\n            match crate::ui_automation::macos::ax_learn::find_repo_root() {\n                Ok(repo_root) => {\n                    let rust_path = crate::ui_automation::macos::ax_learn::write_static_paths_rs(\n                        &repo_root,\n                        &learned,\n                    )\n                    .map_err(|err| anyhow::anyhow!(err))?;\n                    let swift_path =\n                        crate::ui_automation::macos::ax_learn::update_swift_paths(\n                            &repo_root,\n                            &learned,\n                        )\n                        .map_err(|err| anyhow::anyhow!(err))?;\n                    written_files.push(rust_path.to_string_lossy().to_string());\n                    written_files.push(swift_path.to_string_lossy().to_string());\n                }\n                Err(err) => {\n                    tracing::warn!(\"跳过静态 UI 路径更新: {}\", err);\n                }\n            }\n            let saved_files =\n                crate::ui_automation::macos::ui_paths_store::save_learned_paths(\n                    &app,\n                    &learned,\n                    &json,\n                )\n                .map_err(|err| anyhow::anyhow!(err))?;\n            written_files.extend(saved_files);\n            if let Some(path) = output_path.as_ref() {\n                std::fs::write(path, &json)?;\n                written_files.push(path.clone());\n            }\n            let session_list_path = learned\n                .session_list\n                .into_iter()\n                .map(|step| UiPathStep {\n                    roles: step.roles,\n                    index: step.index as u32,\n                    title_contains: step.title_contains,\n                })\n                .collect();\n            let message_list_path = learned\n                .message_list\n                .into_iter()\n                .map(|step| UiPathStep {\n                    roles: step.roles,\n                    index: step.index as u32,\n                    title_contains: step.title_contains,\n                })\n                .collect();\n            let input_path = learned\n                .input\n                .into_iter()\n                .map(|step| UiPathStep {\n                    roles: step.roles,\n                    index: step.index as u32,\n                    title_contains: step.title_contains,\n                })\n                .collect();\n            Ok(UiTreeLearnResult {\n                json,\n                session_list_path,\n                message_list_path,\n                input_path,\n                written_files,\n            })\n        })\n        .await;\n\n        match result {\n            Ok(Ok(payload)) => Ok(api_ok(payload)),\n            Ok(Err(err)) => Ok(api_err(err.to_string())),\n            Err(err) => Ok(api_err(format!(\"Automation task failed: {}\", err))),\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_wechat_ui_paths_status(\n    app: AppHandle,\n    _state: State<'_, SharedState>,\n) -> Result<ApiResponse<UiPathsStatus>, String> {\n    #[cfg(not(target_os = \"macos\"))]\n    {\n        let _ = app;\n        return Ok(api_err(\"仅支持 macOS\"));\n    }\n\n    #[cfg(target_os = \"macos\")]\n    {\n        match crate::ui_automation::macos::ui_paths_store::read_status(&app) {\n            Ok(status) => Ok(api_ok(status)),\n            Err(err) => Ok(api_err(err)),\n        }\n    }\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key() -> Result<ApiResponse<String>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => api_ok(key),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    info!(\n        \"发送监听控制指令: type={}, poll_interval_ms={}, targets={}\",\n        message_type,\n        poll_interval_ms\n            .map(|value| value.to_string())\n            .unwrap_or_else(|| \"-\".to_string()),\n        targets.as_ref().map(|items| items.len()).unwrap_or(0)\n    );\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.42).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(560.0, 960.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            #[cfg(target_os = \"macos\")]\n            if let Err(err) =\n                crate::ui_automation::macos::ui_paths_store::load_from_disk(app.handle())\n            {\n                warn!(\"加载微信 UI 路径失败: {}\", err);\n            }\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            export_wechat_ui_tree,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            get_api_key,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            learn_wechat_ui_paths,\n            get_wechat_ui_paths_status,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "8637ff180ccb6fa9b476937538cc8af44662b0e0": {"t": 1785757008.0008485, "n": 30652, "h": "fd14c521e758b971", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status, UiPathStep, UiTreeExport, UiTreeLearnResult,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        info!(\n            \"使用本地自动化路径启动监听: targets={}\",\n            targets.len()\n        );\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n            info!(\"本地自动化监听已启动\");\n        } else {\n            warn!(\"本地自动化监听启动失败: {}\", res.message);\n        }\n        return Ok(res);\n    }\n\n    info!(\"使用 Agent 路径启动监听\");\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"Agent 已连接，发送监听指令\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn export_wechat_ui_tree(\n    _state: State<'_, SharedState>,\n    max_depth: Option<u32>,\n    output_path: Option<String>,\n) -> Result<ApiResponse<UiTreeExport>, String> {\n    #[cfg(not(target_os = \"macos\"))]\n    {\n        return Ok(api_err(\"仅支持 macOS\"));\n    }\n\n    #[cfg(target_os = \"macos\")]\n    {\n        let depth = max_depth.unwrap_or(10).min(32) as usize;\n        let output_path = output_path\n            .map(|path| path.trim().to_string())\n            .filter(|path| !path.is_empty());\n        let result = tokio::task::spawn_blocking(move || -> anyhow::Result<UiTreeExport> {\n            if !crate::ui_automation::macos::ax::check_accessibility() {\n                anyhow::bail!(\"缺少辅助功能权限\");\n            }\n            let client = crate::ui_automation::macos::AxClient::new()?;\n            let window = client\n                .front_window()\n                .ok_or_else(|| anyhow::anyhow!(\"WeChat window not found\"))?;\n            let tree = crate::ui_automation::macos::ax::snapshot_tree(&window, depth);\n            let json = serde_json::to_string_pretty(&tree)?;\n            if let Some(path) = output_path.as_ref() {\n                std::fs::write(path, &json)?;\n            }\n            Ok(UiTreeExport {\n                json,\n                saved_to: output_path,\n            })\n        })\n        .await;\n\n        match result {\n            Ok(Ok(payload)) => Ok(api_ok(payload)),\n            Ok(Err(err)) => Ok(api_err(err.to_string())),\n            Err(err) => Ok(api_err(format!(\"Automation task failed: {}\", err))),\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn learn_wechat_ui_paths(\n    _state: State<'_, SharedState>,\n    max_depth: Option<u32>,\n    output_path: Option<String>,\n) -> Result<ApiResponse<UiTreeLearnResult>, String> {\n    #[cfg(not(target_os = \"macos\"))]\n    {\n        return Ok(api_err(\"仅支持 macOS\"));\n    }\n\n    #[cfg(target_os = \"macos\")]\n    {\n        let depth = max_depth.unwrap_or(10).min(32) as usize;\n        let output_path = output_path\n            .map(|path| path.trim().to_string())\n            .filter(|path| !path.is_empty());\n        let result = tokio::task::spawn_blocking(move || -> anyhow::Result<UiTreeLearnResult> {\n            if !crate::ui_automation::macos::ax::check_accessibility() {\n                anyhow::bail!(\"缺少辅助功能权限\");\n            }\n            let client = crate::ui_automation::macos::AxClient::new()?;\n            let window = client\n                .front_window()\n                .ok_or_else(|| anyhow::anyhow!(\"WeChat window not found\"))?;\n            let tree = crate::ui_automation::macos::ax::snapshot_tree(&window, depth);\n            let json = serde_json::to_string_pretty(&tree)?;\n            let root = crate::ui_automation::macos::ax_learn::parse_snapshot(&tree)\n                .ok_or_else(|| anyhow::anyhow!(\"解析 UI 树失败\"))?;\n            let learned = crate::ui_automation::macos::ax_learn::learn_paths(&root)\n                .map_err(|err| anyhow::anyhow!(err))?;\n            let repo_root = crate::ui_automation::macos::ax_learn::find_repo_root()\n                .map_err(|err| anyhow::anyhow!(err))?;\n            let rust_path =\n                crate::ui_automation::macos::ax_learn::write_static_paths_rs(&repo_root, &learned)\n                    .map_err(|err| anyhow::anyhow!(err))?;\n            let swift_path =\n                crate::ui_automation::macos::ax_learn::update_swift_paths(&repo_root, &learned)\n                    .map_err(|err| anyhow::anyhow!(err))?;\n            let mut written_files = vec![\n                rust_path.to_string_lossy().to_string(),\n                swift_path.to_string_lossy().to_string(),\n            ];\n            if let Some(path) = output_path.as_ref() {\n                std::fs::write(path, &json)?;\n                written_files.push(path.clone());\n            }\n            let session_list_path = learned\n                .session_list\n                .into_iter()\n                .map(|step| UiPathStep {\n                    roles: step.roles,\n                    index: step.index as u32,\n                    title_contains: step.title_contains,\n                })\n                .collect();\n            let message_list_path = learned\n                .message_list\n                .into_iter()\n                .map(|step| UiPathStep {\n                    roles: step.roles,\n                    index: step.index as u32,\n                    title_contains: step.title_contains,\n                })\n                .collect();\n            let input_path = learned\n                .input\n                .into_iter()\n                .map(|step| UiPathStep {\n                    roles: step.roles,\n                    index: step.index as u32,\n                    title_contains: step.title_contains,\n                })\n                .collect();\n            Ok(UiTreeLearnResult {\n                json,\n                session_list_path,\n                message_list_path,\n                input_path,\n                written_files,\n            })\n        })\n        .await;\n\n        match result {\n            Ok(Ok(payload)) => Ok(api_ok(payload)),\n            Ok(Err(err)) => Ok(api_err(err.to_string())),\n            Err(err) => Ok(api_err(format!(\"Automation task failed: {}\", err))),\n        }\n    }\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key() -> Result<ApiResponse<String>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => api_ok(key),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    info!(\n        \"发送监听控制指令: type={}, poll_interval_ms={}, targets={}\",\n        message_type,\n        poll_interval_ms\n            .map(|value| value.to_string())\n            .unwrap_or_else(|| \"-\".to_string()),\n        targets.as_ref().map(|items| items.len()).unwrap_or(0)\n    );\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.42).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(560.0, 960.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            export_wechat_ui_tree,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            get_api_key,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            learn_wechat_ui_paths,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "cab12c3c06bacb90d7f511133906cfccc2098ba8": {"t": 1785757009.540267, "n": 26877, "h": "ce8b3f2330248398", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status, UiTreeExport,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        info!(\n            \"使用本地自动化路径启动监听: targets={}\",\n            targets.len()\n        );\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n            info!(\"本地自动化监听已启动\");\n        } else {\n            warn!(\"本地自动化监听启动失败: {}\", res.message);\n        }\n        return Ok(res);\n    }\n\n    info!(\"使用 Agent 路径启动监听\");\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"Agent 已连接，发送监听指令\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn export_wechat_ui_tree(\n    _state: State<'_, SharedState>,\n    max_depth: Option<u32>,\n    output_path: Option<String>,\n) -> Result<ApiResponse<UiTreeExport>, String> {\n    #[cfg(not(target_os = \"macos\"))]\n    {\n        return Ok(api_err(\"仅支持 macOS\"));\n    }\n\n    #[cfg(target_os = \"macos\")]\n    {\n        let depth = max_depth.unwrap_or(10).min(32) as usize;\n        let output_path = output_path\n            .map(|path| path.trim().to_string())\n            .filter(|path| !path.is_empty());\n        let result = tokio::task::spawn_blocking(move || -> anyhow::Result<UiTreeExport> {\n            if !crate::ui_automation::macos::ax::check_accessibility() {\n                anyhow::bail!(\"缺少辅助功能权限\");\n            }\n            let client = crate::ui_automation::macos::AxClient::new()?;\n            let window = client\n                .front_window()\n                .ok_or_else(|| anyhow::anyhow!(\"WeChat window not found\"))?;\n            let tree = crate::ui_automation::macos::ax::snapshot_tree(&window, depth);\n            let json = serde_json::to_string_pretty(&tree)?;\n            if let Some(path) = output_path.as_ref() {\n                std::fs::write(path, &json)?;\n            }\n            Ok(UiTreeExport {\n                json,\n                saved_to: output_path,\n            })\n        })\n        .await;\n\n        match result {\n            Ok(Ok(payload)) => Ok(api_ok(payload)),\n            Ok(Err(err)) => Ok(api_err(err.to_string())),\n            Err(err) => Ok(api_err(format!(\"Automation task failed: {}\", err))),\n        }\n    }\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key() -> Result<ApiResponse<String>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => api_ok(key),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    info!(\n        \"发送监听控制指令: type={}, poll_interval_ms={}, targets={}\",\n        message_type,\n        poll_interval_ms\n            .map(|value| value.to_string())\n            .unwrap_or_else(|| \"-\".to_string()),\n        targets.as_ref().map(|items| items.len()).unwrap_or(0)\n    );\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.42).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(560.0, 960.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            export_wechat_ui_tree,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            get_api_key,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "970a1467613ca280e8d0aa90a13789c4ca540094": {"t": 1785757011.309856, "n": 25226, "h": "251a0b67fd7421f5", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        info!(\n            \"使用本地自动化路径启动监听: targets={}\",\n            targets.len()\n        );\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n            info!(\"本地自动化监听已启动\");\n        } else {\n            warn!(\"本地自动化监听启动失败: {}\", res.message);\n        }\n        return Ok(res);\n    }\n\n    info!(\"使用 Agent 路径启动监听\");\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"Agent 已连接，发送监听指令\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key() -> Result<ApiResponse<String>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => api_ok(key),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    info!(\n        \"发送监听控制指令: type={}, poll_interval_ms={}, targets={}\",\n        message_type,\n        poll_interval_ms\n            .map(|value| value.to_string())\n            .unwrap_or_else(|| \"-\".to_string()),\n        targets.as_ref().map(|items| items.len()).unwrap_or(0)\n    );\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.42).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(560.0, 960.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            get_api_key,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "5c2f586fdb1baec47a8829bf2c657e0dce50e80a": {"t": 1785757012.904428, "n": 24688, "h": "b059ffd39176c022", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key() -> Result<ApiResponse<String>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => api_ok(key),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.5).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(600.0, 1100.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            get_api_key,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "acd5100908b078028686101304939a7a07634e86": {"t": 1785757014.748806, "n": 24960, "h": "1f0132499aab3679", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        info!(\n            \"使用本地自动化路径启动监听: targets={}\",\n            targets.len()\n        );\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n            info!(\"本地自动化监听已启动\");\n        } else {\n            warn!(\"本地自动化监听启动失败: {}\", res.message);\n        }\n        return Ok(res);\n    }\n\n    info!(\"使用 Agent 路径启动监听\");\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"Agent 已连接，发送监听指令\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    info!(\n        \"发送监听控制指令: type={}, poll_interval_ms={}, targets={}\",\n        message_type,\n        poll_interval_ms\n            .map(|value| value.to_string())\n            .unwrap_or_else(|| \"-\".to_string()),\n        targets.as_ref().map(|items| items.len()).unwrap_or(0)\n    );\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.42).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(560.0, 960.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "29dce40fd708c9d3e67539c4035e030a9a207529": {"t": 1785757016.526066, "n": 24422, "h": "5eac6bc78b495919", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.42).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(560.0, 960.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "cd02c73d7da839b178fae794c3cb83dd16fd0f8e": {"t": 1785757018.0792437, "n": 24422, "h": "42fc08f5d07c0f66", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u{7fa4}\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.5).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(600.0, 1100.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "7dd77db3e172aaa1b719cf934bd9a426eb44665e": {"t": 1785757019.53195, "n": 24420, "h": "f7402933333db342", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod message_pipeline;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ui_automation::build_platform_automation;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot, watch};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            stop_automation_polling(state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        stop_automation_polling(state.inner().clone()).await;\n        set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n        info!(\"监听已暂停\");\n        return Ok(api_ok(()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let targets = {\n            let guard = state.lock().await;\n            guard.listen_targets.clone()\n        };\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            start_automation_polling(app.clone(), state.inner().clone()).await;\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.list_recent_chats().await;\n        if res.success {\n            if let Some(chats) = res.data.clone() {\n                let mut guard = state.lock().await;\n                guard.recent_chats = chats;\n            }\n        }\n        return Ok(res);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nasync fn start_automation_polling(app: AppHandle, state: SharedState) {\n    let (stop_tx, mut stop_rx) = watch::channel(false);\n    let (automation, config, targets) = {\n        let mut guard = state.lock().await;\n        if let Some(stop) = guard.automation_stop.take() {\n            let _ = stop.send(true);\n        }\n        guard.automation_stop = Some(stop_tx);\n        (\n            guard.automation.clone(),\n            guard.config.clone(),\n            guard.listen_targets.clone(),\n        )\n    };\n    if !automation.is_ready() {\n        return;\n    }\n    tokio::spawn(async move {\n        let mut interval = tokio::time::interval(Duration::from_millis(config.poll_interval_ms));\n        loop {\n            tokio::select! {\n                _ = stop_rx.changed() => {\n                    if *stop_rx.borrow() {\n                        break;\n                    }\n                }\n                _ = interval.tick() => {\n                    let res = automation.poll_latest_message().await;\n                    if !res.success {\n                        continue;\n                    }\n                    let Some(message) = res.data.flatten() else {\n                        continue;\n                    };\n                    if !should_handle_message(&message.chat_id, &targets) {\n                        continue;\n                    }\n                    let payload = crate::ipc::MessageNewPayload {\n                        chat_id: message.chat_id.clone(),\n                        chat_title: message.chat_id.clone(),\n                        is_group: infer_is_group(&message.chat_id, &targets),\n                        sender_name: String::new(),\n                        text: message.text.clone(),\n                        timestamp: message.timestamp,\n                        msg_id: message.msg_id.clone(),\n                    };\n                    crate::message_pipeline::handle_incoming_message(&app, &state, payload).await;\n                }\n            }\n        }\n    });\n}\n\nasync fn stop_automation_polling(state: SharedState) {\n    let stop = {\n        let mut guard = state.lock().await;\n        guard.automation_stop.take()\n    };\n    if let Some(stop) = stop {\n        let _ = stop.send(true);\n    }\n}\n\nfn should_handle_message(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if targets.is_empty() {\n        return true;\n    }\n    targets.iter().any(|target| target.name == chat_id)\n}\n\nfn infer_is_group(chat_id: &str, targets: &[ListenTarget]) -> bool {\n    if let Some(target) = targets.iter().find(|target| target.name == chat_id) {\n        return matches!(target.kind, crate::types::ChatKind::Group);\n    }\n    chat_id.contains(\"\\u7fa4\")\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.5).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(600.0, 1100.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let mut app_state = AppState::new(config, initial_status());\n            let automation = build_platform_automation();\n            app_state.automation = crate::ui_automation::AutomationManager::new(automation);\n            let state = Arc::new(Mutex::new(app_state));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn poll_latest_message(&self) -> anyhow::Result<Option<crate::ui_automation::IncomingMessage>> {\n                Ok(None)\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "f65bc758b2ee1655523ad9418df7263a9aa6b82c": {"t": 1785757020.88235, "n": 20044, "h": "23a39cf053209902", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    let (automation, targets) = {\n        let guard = state.lock().await;\n        (guard.automation.clone(), guard.listen_targets.clone())\n    };\n    if automation.is_ready() {\n        let res = automation.start_listening(targets).await;\n        if res.success {\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.stop_listening().await;\n        if res.success {\n            set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n        }\n        return Ok(res);\n    }\n\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        return Ok(automation.list_recent_chats().await);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        let res = automation.write_input(chat_id, text).await;\n        return Ok(res);\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.5).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(600.0, 1100.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::types::ChatKind;\n    use crate::ui_automation::WeChatAutomation;\n    use std::sync::atomic::{AtomicBool, Ordering};\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_uses_automation() {\n        struct MockAutomation {\n            called: Arc<AtomicBool>,\n        }\n\n        impl WeChatAutomation for MockAutomation {\n            fn platform(&self) -> Platform {\n                Platform::Windows\n            }\n\n            fn list_recent_chats(&self) -> anyhow::Result<Vec<ChatSummary>> {\n                self.called.store(true, Ordering::SeqCst);\n                Ok(vec![ChatSummary {\n                    chat_id: \"id\".to_string(),\n                    chat_title: \"title\".to_string(),\n                    kind: ChatKind::Unknown,\n                }])\n            }\n\n            fn start_listening(&self, _targets: Vec<ListenTarget>) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn stop_listening(&self) -> anyhow::Result<()> {\n                Ok(())\n            }\n\n            fn write_input(&self, _chat_id: &str, _text: &str) -> anyhow::Result<()> {\n                Ok(())\n            }\n        }\n\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let called = Arc::new(AtomicBool::new(false));\n        {\n            let mut guard = state.lock().await;\n            guard.automation =\n                crate::ui_automation::AutomationManager::new(Some(Arc::new(MockAutomation {\n                    called: Arc::clone(&called),\n                })));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(result.success);\n        assert!(called.load(Ordering::SeqCst));\n    }\n}\n"}, "cc9e0bd873096218b82ad7ce07909b9be74b60e4": {"t": 1785757022.661403, "n": 17328, "h": "0fef34ca882b3fc9", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\nmod ui_automation;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let automation = {\n        let guard = state.lock().await;\n        guard.automation.clone()\n    };\n    if automation.is_ready() {\n        return Ok(automation.list_recent_chats().await);\n    }\n\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.5).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(600.0, 1100.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n}\n"}, "57bdecbfee6dcbe0a7f39427af5724ea7617c37a": {"t": 1785757023.9858437, "n": 17111, "h": "d99f86cf4207cac7", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.5).round();\n    let target_height = (logical_size.height * 0.6).round();\n    let width = target_width.clamp(600.0, 1100.0);\n    let height = target_height.clamp(640.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n}\n"}, "32fe3ce4dc3ed1e21664ba3faa3042595149d5f1": {"t": 1785757025.7909627, "n": 17112, "h": "92f710ccb965ab44", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, LogicalSize, Manager, Size, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\nfn adjust_window_size(app: &AppHandle) {\n    let Some(window) = app.get_webview_window(\"main\") else {\n        return;\n    };\n    let monitor = window\n        .current_monitor()\n        .ok()\n        .flatten()\n        .or_else(|| window.primary_monitor().ok().flatten());\n    let Some(monitor) = monitor else {\n        warn!(\"获取显示器信息失败，跳过窗口尺寸调整\");\n        return;\n    };\n    let scale_factor = monitor.scale_factor();\n    let logical_size: LogicalSize<f64> = monitor.size().to_logical(scale_factor);\n    let target_width = (logical_size.width * 0.7).round();\n    let target_height = (logical_size.height * 0.85).round();\n    let width = target_width.clamp(640.0, 1200.0);\n    let height = target_height.clamp(720.0, 900.0);\n    if let Err(err) = window.set_size(Size::Logical(LogicalSize { width, height })) {\n        warn!(\"窗口尺寸调整失败: {}\", err);\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            adjust_window_size(app.handle());\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n}\n"}, "2ed9c31b351f1b9586f35db9835ce1d096d251f5": {"t": 1785757027.0402775, "n": 16192, "h": "bf6bb92c95a2e4c0", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    list_recent_chats_inner(state.inner().clone()).await\n}\n\nasync fn list_recent_chats_inner(\n    state: SharedState,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[tokio::test]\n    async fn list_recent_chats_requires_agent() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n\n    #[tokio::test]\n    async fn list_recent_chats_rejects_when_pending() {\n        let state = Arc::new(Mutex::new(AppState::new(\n            Config::default(),\n            initial_status(),\n        )));\n        let (tx, _rx) = oneshot::channel();\n        {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = Some((\"req\".to_string(), tx));\n        }\n        let result = list_recent_chats_inner(state).await.unwrap();\n        assert!(!result.success);\n    }\n}\n"}, "2946058c9aeaee7c839352916c95d45d718136ac": {"t": 1785757028.4881606, "n": 15173, "h": "6118c6f00173ab92", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{\n    ChatsListPayload, InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload,\n};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse uuid::Uuid;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        let mut next_config = guard.config.clone();\n        next_config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &next_config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.config = next_config;\n        guard.listen_targets = normalized.clone();\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let request_id = Uuid::new_v4().to_string();\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some((request_id.clone(), tx));\n        (sender, rx)\n    };\n\n    let payload_value =\n        serde_json::to_value(ChatsListPayload { request_id: request_id.clone() })\n            .map_err(|err| err.to_string())?;\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            if matches!(guard.pending_chats_list.as_ref(), Some((pending_id, _)) if pending_id == &request_id) {\n                guard.pending_chats_list = None;\n            }\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "4f83e9c909db5069ac744d0ed679771feeefcb81": {"t": 1785757029.928728, "n": 14608, "h": "6a8b204eaa8fb662", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.start\", true, true).await\n    {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.stop\", false, false).await\n    {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.pause\", false, false).await\n    {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) =\n        send_listen_control(state.inner().clone(), \"listen.resume\", true, true).await\n    {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let sender = {\n        let mut guard = state.lock().await;\n        guard.listen_targets = normalized.clone();\n        guard.config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &guard.config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        guard.agent.as_ref().map(|agent| agent.clone_sender())\n    };\n\n    if let Some(sender) = sender {\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some(tx);\n        (sender, rx)\n    };\n\n    let payload_value = serde_json::json!({});\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = None;\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = None;\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n    include_targets: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_targets {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "7e123798aa9afc99d2b3bc49ffe11e2991568093": {"t": 1785757031.305933, "n": 14741, "h": "db190a8ae09bcab6", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, IpcEnvelope, ListenControlPayload, ListenTargetsPayload};\nuse crate::listen_targets::{normalize_listen_targets, MAX_LISTEN_TARGETS};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, ChatSummary, Config, DeepseekDiagnostics, ListenTarget, Platform,\n    RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::{Mutex, oneshot};\nuse tokio::time::{timeout, Duration};\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝开始监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.start\", true).await {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.stop\", false).await {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.pause\", false).await {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.listen_targets.is_empty() {\n            warn!(\"未设置监听对象，拒绝恢复监听\");\n            return Ok(api_err(\"请先设置监听对象\"));\n        }\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.resume\", true).await {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_listen_targets(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ListenTarget>>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.listen_targets.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_listen_targets(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    targets: Vec<ListenTarget>,\n) -> Result<ApiResponse<()>, String> {\n    let normalized = match normalize_listen_targets(targets, MAX_LISTEN_TARGETS) {\n        Ok(targets) => targets,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n\n    let (should_notify, sender) = {\n        let mut guard = state.lock().await;\n        guard.listen_targets = normalized.clone();\n        guard.config.listen_targets = normalized.clone();\n        if let Err(err) = save_config(&app, &guard.config) {\n            warn!(\"保存监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n        (\n            guard.status.state == RuntimeState::Listening,\n            guard.agent.as_ref().map(|agent| agent.clone_sender()),\n        )\n    };\n\n    if should_notify {\n        let Some(sender) = sender else {\n            warn!(\"发送监听对象失败: Agent 未连接\");\n            return Ok(api_err(\"Agent 未连接\"));\n        };\n        let payload = ListenTargetsPayload {\n            targets: normalized,\n        };\n        let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n        if let Err(err) = sender.send(IpcEnvelope::new(\"listen.targets\", payload_value)).await {\n            warn!(\"发送监听对象失败: {}\", err);\n            return Ok(api_err(err.to_string()));\n        }\n    }\n\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_recent_chats(\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<Vec<ChatSummary>>, String> {\n    let (sender, receiver) = {\n        let mut guard = state.lock().await;\n        if guard.pending_chats_list.is_some() {\n            return Ok(api_err(\"已有会话列表请求进行中\"));\n        }\n        let sender = match guard.agent.as_ref() {\n            Some(agent) => agent.clone_sender(),\n            None => return Ok(api_err(\"Agent 未连接\")),\n        };\n        let (tx, rx) = oneshot::channel();\n        guard.pending_chats_list = Some(tx);\n        (sender, rx)\n    };\n\n    let payload_value = serde_json::json!({});\n    if let Err(err) = sender.send(IpcEnvelope::new(\"chats.list\", payload_value)).await {\n        let mut guard = state.lock().await;\n        guard.pending_chats_list = None;\n        warn!(\"发送会话列表请求失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    match timeout(Duration::from_secs(3), receiver).await {\n        Ok(Ok(chats)) => Ok(api_ok(chats)),\n        Ok(Err(_)) => {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = None;\n            Ok(api_err(\"会话列表获取失败\"))\n        }\n        Err(_) => {\n            let mut guard = state.lock().await;\n            guard.pending_chats_list = None;\n            Ok(api_err(\"会话列表请求超时\"))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms, targets) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n            if include_poll_interval {\n                Some(guard.listen_targets.clone())\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            get_listen_targets,\n            set_listen_targets,\n            list_recent_chats,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "7c7ff5f3e8bba2bfed1bf2dadacced162791b699": {"t": 1785757032.601599, "n": 10944, "h": "d0aa31429b062fac", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod listen_targets;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, ListenControlPayload};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, Config, DeepseekDiagnostics, Platform, RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.start\", true).await {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.stop\", false).await {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.pause\", false).await {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.resume\", true).await {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload {\n        poll_interval_ms,\n        targets: None,\n    };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "ed6b12c9e533c5c0d114a498eac00895153e16bf": {"t": 1785757034.2430792, "n": 10888, "h": "a4eb3109c2c36b36", "c": "mod agent;\npub mod bindings;\nmod config;\nmod deepseek;\nmod ipc;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, ListenControlPayload};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, Config, DeepseekDiagnostics, Platform, RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.start\", true).await {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.stop\", false).await {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.pause\", false).await {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.resume\", true).await {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload { poll_interval_ms };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "5de993ddeedb39d449ba4f09e0f3e1efb6ebbef4": {"t": 1785757035.8569717, "n": 10870, "h": "c3df747acfaa364e", "c": "mod agent;\nmod config;\nmod deepseek;\nmod ipc;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, ListenControlPayload};\nuse crate::types::{\n    api_err, api_ok, ApiResponse, Config, DeepseekDiagnostics, Platform, RuntimeState, Status,\n};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.start\", true).await {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.stop\", false).await {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.pause\", false).await {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.resume\", true).await {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn diagnose_deepseek(\n    state: State<'_, SharedState>,\n    api_key: Option<String>,\n) -> Result<ApiResponse<DeepseekDiagnostics>, String> {\n    let key = match api_key {\n        Some(key) if !key.trim().is_empty() => key,\n        _ => match ApiKeyManager::get_deepseek_api_key() {\n            Ok(key) => key,\n            Err(err) => return Ok(api_err(err.to_string())),\n        },\n    };\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::diagnose(&config, &key).await {\n        Ok(result) => Ok(api_ok(result)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload { poll_interval_ms };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            diagnose_deepseek,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "a05dcc3609dc13fd8cf08dbf4209f239775e8877": {"t": 1785757038.0257003, "n": 10131, "h": "02861a86a5a059c0", "c": "mod agent;\nmod config;\nmod deepseek;\nmod ipc;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::config::save_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, ListenControlPayload};\nuse crate::types::{api_err, api_ok, ApiResponse, Config, Platform, RuntimeState, Status};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn list_models(state: State<'_, SharedState>) -> Result<ApiResponse<Vec<String>>, String> {\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    let api_key = match ApiKeyManager::get_deepseek_api_key() {\n        Ok(key) => key,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    match deepseek::list_models(&config, &api_key).await {\n        Ok(models) => Ok(api_ok(models)),\n        Err(err) => Ok(api_err(err.to_string())),\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.start\", true).await {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.stop\", false).await {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.pause\", false).await {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.resume\", true).await {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_deepseek_model(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    model: String,\n) -> Result<ApiResponse<()>, String> {\n    if !deepseek::is_supported_model(&model) {\n        return Ok(api_err(\"不支持的模型\"));\n    }\n    let mut guard = state.lock().await;\n    guard.config.deepseek_model = model;\n    if let Err(err) = save_config(&app, &guard.config) {\n        warn!(\"保存模型失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload { poll_interval_ms };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key,\n            list_models,\n            set_deepseek_model\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "27e7c2c39423a0c95963cb515fe0ced0d37226e8": {"t": 1785757039.886555, "n": 8987, "h": "66a74af69c6d7b59", "c": "mod agent;\nmod config;\nmod deepseek;\nmod ipc;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, ListenControlPayload};\nuse crate::types::{api_err, api_ok, ApiResponse, Config, Platform, RuntimeState, Status};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到开始监听请求\");\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            info!(\"已在监听中，忽略重复请求\");\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        warn!(\"启动 Agent 失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.start\", true).await {\n        warn!(\"发送监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已启动\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到停止监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.stop\", false).await {\n        warn!(\"发送停止监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    info!(\"监听已停止\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到暂停监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.pause\", false).await {\n        warn!(\"发送暂停监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    info!(\"监听已暂停\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"收到恢复监听请求\");\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.resume\", true).await {\n        warn!(\"发送恢复监听指令失败: {}\", err);\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    info!(\"监听已恢复\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        warn!(\"写入建议失败: chat_id 为空\");\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        warn!(\"写入建议失败: 回复内容为空\");\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        warn!(\"写入建议失败: 回复内容过长\");\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        warn!(\"写入建议失败: Agent 未连接\");\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        warn!(\"写入建议失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n    info!(\"写入建议完成\");\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    info!(\"保存 API 密钥\");\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        warn!(\"保存 API 密钥失败: {}\", err);\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => {\n            info!(\"API 密钥验证成功\");\n            Ok(api_ok(()))\n        }\n        Err(err) => {\n            warn!(\"API 密钥验证失败: {}\", err);\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    info!(\"删除 API 密钥\");\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => {\n            info!(\"API 密钥已删除\");\n            api_ok(())\n        }\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload { poll_interval_ms };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "42aadc15b5ec862adb00093f5dadeeb20e6a134c": {"t": 1785757041.5157292, "n": 8157, "h": "036a148483103535", "c": "mod agent;\nmod config;\nmod deepseek;\nmod ipc;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::{InputWritePayload, ListenControlPayload};\nuse crate::types::{api_err, api_ok, ApiResponse, Config, Platform, RuntimeState, Status};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.start\", true).await {\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.stop\", false).await {\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.pause\", false).await {\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    if let Err(err) = send_listen_control(state.inner().clone(), \"listen.resume\", true).await {\n        return Ok(api_err(err));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => Ok(api_ok(())),\n        Err(err) => {\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => api_ok(()),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn send_listen_control(\n    state: SharedState,\n    message_type: &str,\n    include_poll_interval: bool,\n) -> Result<(), String> {\n    let (sender, poll_interval_ms) = {\n        let guard = state.lock().await;\n        let Some(agent) = guard.agent.as_ref() else {\n            return Err(\"Agent 未连接\".to_string());\n        };\n        (\n            agent.clone_sender(),\n            if include_poll_interval {\n                Some(guard.config.poll_interval_ms)\n            } else {\n                None\n            },\n        )\n    };\n    let payload = ListenControlPayload { poll_interval_ms };\n    let payload_value = serde_json::to_value(payload).map_err(|err| err.to_string())?;\n    sender\n        .send(crate::ipc::IpcEnvelope::new(message_type, payload_value))\n        .await\n        .map_err(|err| err.to_string())\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "bd637b4b147ad1fec37e76f8006f64a7ed20a83c": {"t": 1785757042.8622563, "n": 6766, "h": "73bc04108d885a3d", "c": "mod agent;\nmod config;\nmod deepseek;\nmod ipc;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::load_config;\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::InputWritePayload;\nuse crate::types::{api_err, api_ok, ApiResponse, Config, Platform, RuntimeState, Status};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    _app: AppHandle,\n    _state: State<'_, SharedState>,\n    _config: Config,\n) -> Result<ApiResponse<()>, String> {\n    Ok(api_err(\"配置已固定为默认值\"))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        return Ok(api_err(err.to_string()));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(\n    state: State<'_, SharedState>,\n    api_key: String,\n) -> Result<ApiResponse<()>, String> {\n    if let Err(err) = ApiKeyManager::set_deepseek_api_key(&api_key) {\n        return Ok(api_err(err.to_string()));\n    }\n\n    let config = {\n        let guard = state.lock().await;\n        guard.config.clone()\n    };\n    match deepseek::validate_api_key(&config, &api_key).await {\n        Ok(()) => Ok(api_ok(())),\n        Err(err) => {\n            let _ = ApiKeyManager::delete_deepseek_api_key();\n            Ok(api_err(err.to_string()))\n        }\n    }\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => api_ok(()),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "49b771fb17bdfd82cbd11d5fe95044d8144d5094": {"t": 1785757044.8502946, "n": 6776, "h": "eff3c3e90aad4947", "c": "mod agent;\nmod config;\nmod deepseek;\nmod ipc;\nmod logging;\nmod secret;\nmod state;\nmod types;\n\nuse crate::agent::start_agent;\nuse crate::config::{load_config, save_config, validate_config};\nuse crate::secret::ApiKeyManager;\nuse crate::state::AppState;\nuse crate::ipc::InputWritePayload;\nuse crate::types::{api_err, api_ok, ApiResponse, Config, Platform, RuntimeState, Status};\nuse std::sync::Arc;\nuse tauri::{AppHandle, Emitter, Manager, State};\nuse tokio::sync::Mutex;\nuse tracing::{info, warn};\n\ntype SharedState = Arc<Mutex<AppState>>;\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_config(state: State<'_, SharedState>) -> Result<ApiResponse<Config>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.config.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn set_config(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n    config: Config,\n) -> Result<ApiResponse<()>, String> {\n    if let Err(err) = validate_config(&config) {\n        return Ok(api_err(err.to_string()));\n    }\n    if let Err(err) = save_config(&app, &config) {\n        return Ok(api_err(err.to_string()));\n    }\n    {\n        let mut guard = state.lock().await;\n        guard.config = config.clone();\n    }\n    let _ = app.emit(\"config.updated\", config);\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_status(state: State<'_, SharedState>) -> Result<ApiResponse<Status>, String> {\n    let guard = state.lock().await;\n    Ok(api_ok(guard.status.clone()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn start_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    {\n        let guard = state.lock().await;\n        if guard.status.state == RuntimeState::Listening {\n            return Ok(api_ok(()));\n        }\n    }\n\n    if let Err(err) = ensure_agent_running(app.clone(), state.inner().clone()).await {\n        return Ok(api_err(err.to_string()));\n    }\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn stop_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Idle, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn pause_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Paused, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn resume_listening(\n    app: AppHandle,\n    state: State<'_, SharedState>,\n) -> Result<ApiResponse<()>, String> {\n    set_runtime_state(&app, state.inner().clone(), RuntimeState::Listening, \"\").await;\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn write_suggestion(\n    state: State<'_, SharedState>,\n    chat_id: String,\n    text: String,\n) -> Result<ApiResponse<()>, String> {\n    if chat_id.trim().is_empty() {\n        return Ok(api_err(\"chat_id 不能为空\"));\n    }\n    if text.trim().is_empty() {\n        return Ok(api_err(\"回复内容不能为空\"));\n    }\n    if text.len() > 2000 {\n        return Ok(api_err(\"回复内容过长\"));\n    }\n\n    let guard = state.lock().await;\n    let Some(agent) = guard.agent.as_ref() else {\n        return Ok(api_err(\"Agent 未连接\"));\n    };\n\n    let payload = InputWritePayload {\n        chat_id,\n        text,\n        mode: Some(\"paste\".to_string()),\n        restore_clipboard: Some(true),\n    };\n    let payload_value = match serde_json::to_value(payload) {\n        Ok(value) => value,\n        Err(err) => return Ok(api_err(err.to_string())),\n    };\n    if let Err(err) =\n        agent\n            .send(crate::ipc::IpcEnvelope::new(\"input.write\", payload_value))\n            .await\n    {\n        return Ok(api_err(err.to_string()));\n    }\n    Ok(api_ok(()))\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn save_api_key(api_key: String) -> Result<ApiResponse<()>, String> {\n    Ok(match ApiKeyManager::set_deepseek_api_key(&api_key) {\n        Ok(()) => api_ok(()),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn get_api_key_status() -> Result<ApiResponse<bool>, String> {\n    Ok(match ApiKeyManager::get_deepseek_api_key() {\n        Ok(_) => api_ok(true),\n        Err(_) => api_ok(false),\n    })\n}\n\n#[tauri::command]\n#[specta::specta]\nasync fn delete_api_key() -> Result<ApiResponse<()>, String> {\n    Ok(match ApiKeyManager::delete_deepseek_api_key() {\n        Ok(()) => api_ok(()),\n        Err(err) => api_err(err.to_string()),\n    })\n}\n\nasync fn ensure_agent_running(app: AppHandle, state: SharedState) -> anyhow::Result<()> {\n    let exists = {\n        let guard = state.lock().await;\n        guard.agent.is_some()\n    };\n    if exists {\n        return Ok(());\n    }\n    match start_agent(app.clone(), state.clone()).await {\n        Ok(agent) => {\n            let mut guard = state.lock().await;\n            guard.agent = Some(agent);\n            Ok(())\n        }\n        Err(err) => {\n            warn!(\"启动 Agent 失败: {}\", err);\n            Err(err)\n        }\n    }\n}\n\nasync fn set_runtime_state(\n    app: &AppHandle,\n    state: SharedState,\n    runtime: RuntimeState,\n    last_error: impl Into<String>,\n) {\n    let mut guard = state.lock().await;\n    guard.status.state = runtime;\n    guard.status.last_error = last_error.into();\n    let _ = app.emit(\"status.changed\", guard.status.clone());\n}\n\nfn initial_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        Platform::Windows\n    } else if cfg!(target_os = \"macos\") {\n        Platform::Macos\n    } else {\n        Platform::Unknown\n    };\n    Status {\n        state: RuntimeState::Idle,\n        platform,\n        agent_connected: false,\n        last_error: String::new(),\n    }\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .setup(|app| {\n            let config = load_config(app.handle())?;\n            logging::init_logging(app.handle(), &config)?;\n            let state = Arc::new(Mutex::new(AppState::new(config, initial_status())));\n            app.manage(state);\n            info!(\"WeReply 启动完成\");\n            Ok(())\n        })\n        .invoke_handler(tauri::generate_handler![\n            get_config,\n            set_config,\n            start_listening,\n            stop_listening,\n            pause_listening,\n            resume_listening,\n            write_suggestion,\n            get_status,\n            save_api_key,\n            get_api_key_status,\n            delete_api_key\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}, "bf06f6564f88b28e20cca543444126f1a21843ea": {"t": 1785757047.8006272, "n": 1202, "h": "0014f53042689b76", "c": "mod config;\nmod deepseek;\nmod agent;\nmod ipc;\n\nuse serde::Serialize;\n\n#[derive(Serialize)]\nstruct Status {\n    state: String,\n    platform: String,\n    agent_connected: bool,\n    last_error: String,\n}\n\n#[tauri::command]\nfn start_listening() -> bool {\n    true\n}\n\n#[tauri::command]\nfn stop_listening() -> bool {\n    true\n}\n\n#[tauri::command]\nfn get_status() -> Status {\n    let platform = if cfg!(target_os = \"windows\") {\n        \"windows\"\n    } else if cfg!(target_os = \"macos\") {\n        \"macos\"\n    } else {\n        \"unknown\"\n    };\n    Status {\n        state: \"idle\".to_string(),\n        platform: platform.to_string(),\n        agent_connected: false,\n        last_error: \"\".to_string(),\n    }\n}\n\n#[tauri::command]\nfn write_suggestion(_chat_id: String, _text: String) -> bool {\n    true\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n    tauri::Builder::default()\n        .plugin(tauri_plugin_opener::init())\n        .invoke_handler(tauri::generate_handler![\n            start_listening,\n            stop_listening,\n            get_status,\n            write_suggestion\n        ])\n        .run(tauri::generate_context!())\n        .expect(\"error while running tauri application\");\n}\n"}}, "src-tauri/src/deepseek.rs": {"6a2debd152a2a8850bdb14c09a678e0c9ae5c792": {"t": 1785746250.0337152, "n": 13229, "h": "beb54bd8b803c273", "c": "use crate::types::{\n    Config, DeepseekDiagnostics, DeepseekEndpointStatus, Suggestion, SuggestionStyle,\n};\nuse anyhow::{Context, Result};\nuse reqwest::Client;\nuse serde_json::{json, Value};\nuse std::time::Duration;\nuse tracing::{info, warn};\nuse uuid::Uuid;\n\nconst SYSTEM_PROMPT: &str = \"你是回复建议助手。请根据对话内容生成 3 条回复建议，分别为正式、\\\n中性、轻松风格。返回 JSON 数组，每个元素包含 style(formal|neutral|casual) 与 text。\";\nconst VALIDATION_PROMPT: &str = \"请回复一个简短确认词，用于验证连接。\";\nconst DEFAULT_MODELS: [&str; 2] = [\"deepseek-chat\", \"deepseek-reasoner\"];\n\nfn cap_timeout_ms(timeout_ms: u64) -> u64 {\n    timeout_ms.clamp(2_000, 12_000)\n}\n\npub fn build_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"stream\": false,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn build_validation_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"stream\": false,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": VALIDATION_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn is_supported_model(model: &str) -> bool {\n    DEFAULT_MODELS.iter().any(|item| item == &model)\n}\n\nfn default_models() -> Vec<String> {\n    DEFAULT_MODELS.iter().map(|model| (*model).to_string()).collect()\n}\n\nfn normalize_models(models: Vec<String>) -> Vec<String> {\n    let mut normalized = Vec::new();\n    for model in DEFAULT_MODELS {\n        if models.iter().any(|item| item == model) {\n            normalized.push(model.to_string());\n        }\n    }\n    if normalized.is_empty() {\n        default_models()\n    } else {\n        normalized\n    }\n}\n\nfn build_chat_url(base_url: &str) -> String {\n    format!(\"{}/chat/completions\", base_url.trim_end_matches('/'))\n}\n\nfn build_models_url(base_url: &str) -> String {\n    format!(\"{}/models\", base_url.trim_end_matches('/'))\n}\n\nfn build_ok_status(status: reqwest::StatusCode) -> DeepseekEndpointStatus {\n    DeepseekEndpointStatus {\n        ok: true,\n        status: Some(status.as_u16()),\n        message: \"ok\".to_string(),\n    }\n}\n\nfn build_error_status(status: Option<reqwest::StatusCode>, message: impl Into<String>) -> DeepseekEndpointStatus {\n    DeepseekEndpointStatus {\n        ok: false,\n        status: status.map(|code| code.as_u16()),\n        message: message.into(),\n    }\n}\n\nfn format_http_error(status: reqwest::StatusCode, raw: &str) -> String {\n    let detail: String = raw.chars().take(200).collect();\n    if detail.is_empty() {\n        format!(\"HTTP {}\", status)\n    } else {\n        format!(\"HTTP {} {}\", status, detail)\n    }\n}\n\nfn parse_models(raw: &str) -> Result<Vec<String>> {\n    let value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let Some(items) = value[\"data\"].as_array() else {\n        return Ok(Vec::new());\n    };\n    let mut models = Vec::new();\n    for item in items {\n        if let Some(id) = item[\"id\"].as_str() {\n            models.push(id.to_string());\n        }\n    }\n    Ok(models)\n}\n\npub async fn validate_api_key(config: &Config, api_key: &str) -> Result<()> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    info!(\"开始验证 DeepSeek API 密钥\");\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client\n            .post(url)\n            .bearer_auth(api_key)\n            .json(&request)\n            .send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 验证失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 验证失败: {} {}\", status, detail);\n    }\n    info!(\"DeepSeek 验证成功\");\n    Ok(())\n}\n\npub async fn generate_suggestions(\n    config: &Config,\n    api_key: Option<String>,\n    context_messages: &[String],\n) -> Result<Vec<Suggestion>> {\n    let prompt = build_prompt(context_messages);\n    let Some(key) = api_key else {\n        return Ok(fallback_suggestions(&prompt));\n    };\n\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_request(&prompt, &config.deepseek_model);\n\n    let response = client\n        .post(url)\n        .bearer_auth(key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 请求失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n\n    if !status.is_success() {\n        warn!(\"DeepSeek 返回错误: {}\", status);\n        return Ok(fallback_suggestions(&prompt));\n    }\n\n    match parse_response(&raw) {\n        Ok(suggestions) if !suggestions.is_empty() => Ok(suggestions),\n        Ok(_) => Ok(fallback_suggestions(&prompt)),\n        Err(err) => {\n            warn!(\"解析 DeepSeek 响应失败: {}\", err);\n            Ok(fallback_suggestions(&prompt))\n        }\n    }\n}\n\npub async fn list_models(config: &Config, api_key: &str) -> Result<Vec<String>> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_models_url(&config.base_url);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client.get(url).bearer_auth(api_key).send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 拉取模型失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 拉取模型失败: {} {}\", status, detail);\n    }\n    let parsed = parse_models(&raw)?;\n    Ok(normalize_models(parsed))\n}\n\npub async fn diagnose(config: &Config, api_key: &str) -> Result<DeepseekDiagnostics> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let chat = probe_chat(&client, config, api_key, timeout_ms).await;\n    let models = probe_models(&client, config, api_key, timeout_ms).await;\n    Ok(DeepseekDiagnostics {\n        base_url: config.base_url.clone(),\n        model: config.deepseek_model.clone(),\n        chat,\n        models,\n    })\n}\n\nasync fn probe_chat(\n    client: &Client,\n    config: &Config,\n    api_key: &str,\n    timeout_ms: u64,\n) -> DeepseekEndpointStatus {\n    let url = build_chat_url(&config.base_url);\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client\n            .post(url)\n            .bearer_auth(api_key)\n            .json(&request)\n            .send(),\n    )\n    .await;\n\n    let response = match response {\n        Err(_) => return build_error_status(None, \"连接超时\"),\n        Ok(Err(err)) => return build_error_status(None, err.to_string()),\n        Ok(Ok(response)) => response,\n    };\n\n    let status = response.status();\n    let raw = match response.text().await {\n        Ok(raw) => raw,\n        Err(err) => return build_error_status(Some(status), err.to_string()),\n    };\n\n    if status.is_success() {\n        build_ok_status(status)\n    } else {\n        build_error_status(Some(status), format_http_error(status, &raw))\n    }\n}\n\nasync fn probe_models(\n    client: &Client,\n    config: &Config,\n    api_key: &str,\n    timeout_ms: u64,\n) -> DeepseekEndpointStatus {\n    let url = build_models_url(&config.base_url);\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client.get(url).bearer_auth(api_key).send(),\n    )\n    .await;\n\n    let response = match response {\n        Err(_) => return build_error_status(None, \"连接超时\"),\n        Ok(Err(err)) => return build_error_status(None, err.to_string()),\n        Ok(Ok(response)) => response,\n    };\n\n    let status = response.status();\n    let raw = match response.text().await {\n        Ok(raw) => raw,\n        Err(err) => return build_error_status(Some(status), err.to_string()),\n    };\n\n    if status.is_success() {\n        build_ok_status(status)\n    } else {\n        build_error_status(Some(status), format_http_error(status, &raw))\n    }\n}\n\nfn build_prompt(context_messages: &[String]) -> String {\n    if context_messages.is_empty() {\n        return \"用户未提供上下文，请生成礼貌的确认回复。\".to_string();\n    }\n    let mut lines = Vec::new();\n    for (idx, message) in context_messages.iter().enumerate() {\n        lines.push(format!(\"{}: {}\", idx + 1, message));\n    }\n    format!(\"最近对话：\\n{}\\n请生成 3 条回复建议。\", lines.join(\"\\n\"))\n}\n\nfn parse_response(raw: &str) -> Result<Vec<Suggestion>> {\n    let json_value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let content = json_value[\"choices\"][0][\"message\"][\"content\"]\n        .as_str()\n        .unwrap_or_default()\n        .trim();\n    if content.is_empty() {\n        return Ok(Vec::new());\n    }\n\n    let cleaned = content\n        .trim_start_matches(\"```json\")\n        .trim_end_matches(\"```\")\n        .trim();\n    if let Ok(items) = serde_json::from_str::<Vec<Value>>(cleaned) {\n        let mut suggestions = Vec::new();\n        for item in items {\n            let style = match item[\"style\"].as_str().unwrap_or(\"neutral\") {\n                \"formal\" => SuggestionStyle::Formal,\n                \"casual\" => SuggestionStyle::Casual,\n                _ => SuggestionStyle::Neutral,\n            };\n            let text = item[\"text\"].as_str().unwrap_or(\"\").trim().to_string();\n            if !text.is_empty() {\n                suggestions.push(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style,\n                    text,\n                });\n            }\n        }\n        return Ok(suggestions);\n    }\n\n    info!(\"DeepSeek 返回非 JSON 结构，使用降级解析\");\n    let suggestions = cleaned\n        .lines()\n        .filter_map(|line| {\n            let text = line.trim_matches(['-', ' ']).trim();\n            if text.is_empty() {\n                None\n            } else {\n                Some(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style: SuggestionStyle::Neutral,\n                    text: text.to_string(),\n                })\n            }\n        })\n        .collect();\n    Ok(suggestions)\n}\n\nfn fallback_suggestions(prompt: &str) -> Vec<Suggestion> {\n    let summary = summarize_text(prompt);\n    vec![\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Formal,\n            text: format!(\"好的，我了解了：{}，稍后给您回复。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Neutral,\n            text: format!(\"收到，我看看 {} 再回复你。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Casual,\n            text: format!(\"好哒～{} 我等下回你。\", summary),\n        },\n    ]\n}\n\nfn summarize_text(text: &str) -> String {\n    let trimmed: String = text.chars().take(20).collect();\n    if trimmed.is_empty() {\n        \"消息\".to_string()\n    } else {\n        trimmed\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload_is_minimal() {\n        let req = build_request(\"hi\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n        assert_eq!(req[\"stream\"], false);\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn fallback_has_three_styles() {\n        let suggestions = fallback_suggestions(\"hi\");\n        assert_eq!(suggestions.len(), 3);\n    }\n\n    #[test]\n    fn build_validation_request_is_minimal() {\n        let req = build_validation_request(\"ping\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"stream\"], false);\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn normalize_timeout_caps() {\n        assert_eq!(cap_timeout_ms(20_000), 12_000);\n    }\n\n    #[test]\n    fn build_chat_url_trims_slash() {\n        let url = build_chat_url(\"https://api.deepseek.com/\");\n        assert_eq!(url, \"https://api.deepseek.com/chat/completions\");\n    }\n\n    #[test]\n    fn normalize_models_filters_and_fallbacks() {\n        let models = normalize_models(vec![\"x\".to_string()]);\n        assert_eq!(models, vec![\"deepseek-chat\", \"deepseek-reasoner\"]);\n    }\n}\n"}, "5de993ddeedb39d449ba4f09e0f3e1efb6ebbef4": {"t": 1785757006.9375153, "n": 13229, "h": "beb54bd8b803c273", "c": "use crate::types::{\n    Config, DeepseekDiagnostics, DeepseekEndpointStatus, Suggestion, SuggestionStyle,\n};\nuse anyhow::{Context, Result};\nuse reqwest::Client;\nuse serde_json::{json, Value};\nuse std::time::Duration;\nuse tracing::{info, warn};\nuse uuid::Uuid;\n\nconst SYSTEM_PROMPT: &str = \"你是回复建议助手。请根据对话内容生成 3 条回复建议，分别为正式、\\\n中性、轻松风格。返回 JSON 数组，每个元素包含 style(formal|neutral|casual) 与 text。\";\nconst VALIDATION_PROMPT: &str = \"请回复一个简短确认词，用于验证连接。\";\nconst DEFAULT_MODELS: [&str; 2] = [\"deepseek-chat\", \"deepseek-reasoner\"];\n\nfn cap_timeout_ms(timeout_ms: u64) -> u64 {\n    timeout_ms.clamp(2_000, 12_000)\n}\n\npub fn build_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"stream\": false,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn build_validation_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"stream\": false,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": VALIDATION_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn is_supported_model(model: &str) -> bool {\n    DEFAULT_MODELS.iter().any(|item| item == &model)\n}\n\nfn default_models() -> Vec<String> {\n    DEFAULT_MODELS.iter().map(|model| (*model).to_string()).collect()\n}\n\nfn normalize_models(models: Vec<String>) -> Vec<String> {\n    let mut normalized = Vec::new();\n    for model in DEFAULT_MODELS {\n        if models.iter().any(|item| item == model) {\n            normalized.push(model.to_string());\n        }\n    }\n    if normalized.is_empty() {\n        default_models()\n    } else {\n        normalized\n    }\n}\n\nfn build_chat_url(base_url: &str) -> String {\n    format!(\"{}/chat/completions\", base_url.trim_end_matches('/'))\n}\n\nfn build_models_url(base_url: &str) -> String {\n    format!(\"{}/models\", base_url.trim_end_matches('/'))\n}\n\nfn build_ok_status(status: reqwest::StatusCode) -> DeepseekEndpointStatus {\n    DeepseekEndpointStatus {\n        ok: true,\n        status: Some(status.as_u16()),\n        message: \"ok\".to_string(),\n    }\n}\n\nfn build_error_status(status: Option<reqwest::StatusCode>, message: impl Into<String>) -> DeepseekEndpointStatus {\n    DeepseekEndpointStatus {\n        ok: false,\n        status: status.map(|code| code.as_u16()),\n        message: message.into(),\n    }\n}\n\nfn format_http_error(status: reqwest::StatusCode, raw: &str) -> String {\n    let detail: String = raw.chars().take(200).collect();\n    if detail.is_empty() {\n        format!(\"HTTP {}\", status)\n    } else {\n        format!(\"HTTP {} {}\", status, detail)\n    }\n}\n\nfn parse_models(raw: &str) -> Result<Vec<String>> {\n    let value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let Some(items) = value[\"data\"].as_array() else {\n        return Ok(Vec::new());\n    };\n    let mut models = Vec::new();\n    for item in items {\n        if let Some(id) = item[\"id\"].as_str() {\n            models.push(id.to_string());\n        }\n    }\n    Ok(models)\n}\n\npub async fn validate_api_key(config: &Config, api_key: &str) -> Result<()> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    info!(\"开始验证 DeepSeek API 密钥\");\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client\n            .post(url)\n            .bearer_auth(api_key)\n            .json(&request)\n            .send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 验证失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 验证失败: {} {}\", status, detail);\n    }\n    info!(\"DeepSeek 验证成功\");\n    Ok(())\n}\n\npub async fn generate_suggestions(\n    config: &Config,\n    api_key: Option<String>,\n    context_messages: &[String],\n) -> Result<Vec<Suggestion>> {\n    let prompt = build_prompt(context_messages);\n    let Some(key) = api_key else {\n        return Ok(fallback_suggestions(&prompt));\n    };\n\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_request(&prompt, &config.deepseek_model);\n\n    let response = client\n        .post(url)\n        .bearer_auth(key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 请求失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n\n    if !status.is_success() {\n        warn!(\"DeepSeek 返回错误: {}\", status);\n        return Ok(fallback_suggestions(&prompt));\n    }\n\n    match parse_response(&raw) {\n        Ok(suggestions) if !suggestions.is_empty() => Ok(suggestions),\n        Ok(_) => Ok(fallback_suggestions(&prompt)),\n        Err(err) => {\n            warn!(\"解析 DeepSeek 响应失败: {}\", err);\n            Ok(fallback_suggestions(&prompt))\n        }\n    }\n}\n\npub async fn list_models(config: &Config, api_key: &str) -> Result<Vec<String>> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_models_url(&config.base_url);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client.get(url).bearer_auth(api_key).send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 拉取模型失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 拉取模型失败: {} {}\", status, detail);\n    }\n    let parsed = parse_models(&raw)?;\n    Ok(normalize_models(parsed))\n}\n\npub async fn diagnose(config: &Config, api_key: &str) -> Result<DeepseekDiagnostics> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let chat = probe_chat(&client, config, api_key, timeout_ms).await;\n    let models = probe_models(&client, config, api_key, timeout_ms).await;\n    Ok(DeepseekDiagnostics {\n        base_url: config.base_url.clone(),\n        model: config.deepseek_model.clone(),\n        chat,\n        models,\n    })\n}\n\nasync fn probe_chat(\n    client: &Client,\n    config: &Config,\n    api_key: &str,\n    timeout_ms: u64,\n) -> DeepseekEndpointStatus {\n    let url = build_chat_url(&config.base_url);\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client\n            .post(url)\n            .bearer_auth(api_key)\n            .json(&request)\n            .send(),\n    )\n    .await;\n\n    let response = match response {\n        Err(_) => return build_error_status(None, \"连接超时\"),\n        Ok(Err(err)) => return build_error_status(None, err.to_string()),\n        Ok(Ok(response)) => response,\n    };\n\n    let status = response.status();\n    let raw = match response.text().await {\n        Ok(raw) => raw,\n        Err(err) => return build_error_status(Some(status), err.to_string()),\n    };\n\n    if status.is_success() {\n        build_ok_status(status)\n    } else {\n        build_error_status(Some(status), format_http_error(status, &raw))\n    }\n}\n\nasync fn probe_models(\n    client: &Client,\n    config: &Config,\n    api_key: &str,\n    timeout_ms: u64,\n) -> DeepseekEndpointStatus {\n    let url = build_models_url(&config.base_url);\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client.get(url).bearer_auth(api_key).send(),\n    )\n    .await;\n\n    let response = match response {\n        Err(_) => return build_error_status(None, \"连接超时\"),\n        Ok(Err(err)) => return build_error_status(None, err.to_string()),\n        Ok(Ok(response)) => response,\n    };\n\n    let status = response.status();\n    let raw = match response.text().await {\n        Ok(raw) => raw,\n        Err(err) => return build_error_status(Some(status), err.to_string()),\n    };\n\n    if status.is_success() {\n        build_ok_status(status)\n    } else {\n        build_error_status(Some(status), format_http_error(status, &raw))\n    }\n}\n\nfn build_prompt(context_messages: &[String]) -> String {\n    if context_messages.is_empty() {\n        return \"用户未提供上下文，请生成礼貌的确认回复。\".to_string();\n    }\n    let mut lines = Vec::new();\n    for (idx, message) in context_messages.iter().enumerate() {\n        lines.push(format!(\"{}: {}\", idx + 1, message));\n    }\n    format!(\"最近对话：\\n{}\\n请生成 3 条回复建议。\", lines.join(\"\\n\"))\n}\n\nfn parse_response(raw: &str) -> Result<Vec<Suggestion>> {\n    let json_value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let content = json_value[\"choices\"][0][\"message\"][\"content\"]\n        .as_str()\n        .unwrap_or_default()\n        .trim();\n    if content.is_empty() {\n        return Ok(Vec::new());\n    }\n\n    let cleaned = content\n        .trim_start_matches(\"```json\")\n        .trim_end_matches(\"```\")\n        .trim();\n    if let Ok(items) = serde_json::from_str::<Vec<Value>>(cleaned) {\n        let mut suggestions = Vec::new();\n        for item in items {\n            let style = match item[\"style\"].as_str().unwrap_or(\"neutral\") {\n                \"formal\" => SuggestionStyle::Formal,\n                \"casual\" => SuggestionStyle::Casual,\n                _ => SuggestionStyle::Neutral,\n            };\n            let text = item[\"text\"].as_str().unwrap_or(\"\").trim().to_string();\n            if !text.is_empty() {\n                suggestions.push(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style,\n                    text,\n                });\n            }\n        }\n        return Ok(suggestions);\n    }\n\n    info!(\"DeepSeek 返回非 JSON 结构，使用降级解析\");\n    let suggestions = cleaned\n        .lines()\n        .filter_map(|line| {\n            let text = line.trim_matches(['-', ' ']).trim();\n            if text.is_empty() {\n                None\n            } else {\n                Some(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style: SuggestionStyle::Neutral,\n                    text: text.to_string(),\n                })\n            }\n        })\n        .collect();\n    Ok(suggestions)\n}\n\nfn fallback_suggestions(prompt: &str) -> Vec<Suggestion> {\n    let summary = summarize_text(prompt);\n    vec![\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Formal,\n            text: format!(\"好的，我了解了：{}，稍后给您回复。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Neutral,\n            text: format!(\"收到，我看看 {} 再回复你。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Casual,\n            text: format!(\"好哒～{} 我等下回你。\", summary),\n        },\n    ]\n}\n\nfn summarize_text(text: &str) -> String {\n    let trimmed: String = text.chars().take(20).collect();\n    if trimmed.is_empty() {\n        \"消息\".to_string()\n    } else {\n        trimmed\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload_is_minimal() {\n        let req = build_request(\"hi\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n        assert_eq!(req[\"stream\"], false);\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn fallback_has_three_styles() {\n        let suggestions = fallback_suggestions(\"hi\");\n        assert_eq!(suggestions.len(), 3);\n    }\n\n    #[test]\n    fn build_validation_request_is_minimal() {\n        let req = build_validation_request(\"ping\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"stream\"], false);\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn normalize_timeout_caps() {\n        assert_eq!(cap_timeout_ms(20_000), 12_000);\n    }\n\n    #[test]\n    fn build_chat_url_trims_slash() {\n        let url = build_chat_url(\"https://api.deepseek.com/\");\n        assert_eq!(url, \"https://api.deepseek.com/chat/completions\");\n    }\n\n    #[test]\n    fn normalize_models_filters_and_fallbacks() {\n        let models = normalize_models(vec![\"x\".to_string()]);\n        assert_eq!(models, vec![\"deepseek-chat\", \"deepseek-reasoner\"]);\n    }\n}\n"}, "636e3a03025ebc89248e99e79da4c06b5642d62f": {"t": 1785757008.2211325, "n": 9922, "h": "8c462f52b9aca07d", "c": "use crate::types::{Config, Suggestion, SuggestionStyle};\nuse anyhow::{Context, Result};\nuse reqwest::Client;\nuse serde_json::{json, Value};\nuse std::time::Duration;\nuse tracing::{info, warn};\nuse uuid::Uuid;\n\nconst SYSTEM_PROMPT: &str = \"你是回复建议助手。请根据对话内容生成 3 条回复建议，分别为正式、\\\n中性、轻松风格。返回 JSON 数组，每个元素包含 style(formal|neutral|casual) 与 text。\";\nconst VALIDATION_PROMPT: &str = \"请回复一个简短确认词，用于验证连接。\";\nconst DEFAULT_MODELS: [&str; 2] = [\"deepseek-chat\", \"deepseek-reasoner\"];\n\nfn cap_timeout_ms(timeout_ms: u64) -> u64 {\n    timeout_ms.clamp(2_000, 12_000)\n}\n\npub fn build_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"stream\": false,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn build_validation_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"stream\": false,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": VALIDATION_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn is_supported_model(model: &str) -> bool {\n    DEFAULT_MODELS.iter().any(|item| item == &model)\n}\n\nfn default_models() -> Vec<String> {\n    DEFAULT_MODELS.iter().map(|model| (*model).to_string()).collect()\n}\n\nfn normalize_models(models: Vec<String>) -> Vec<String> {\n    let mut normalized = Vec::new();\n    for model in DEFAULT_MODELS {\n        if models.iter().any(|item| item == model) {\n            normalized.push(model.to_string());\n        }\n    }\n    if normalized.is_empty() {\n        default_models()\n    } else {\n        normalized\n    }\n}\n\nfn build_chat_url(base_url: &str) -> String {\n    format!(\"{}/chat/completions\", base_url.trim_end_matches('/'))\n}\n\nfn build_models_url(base_url: &str) -> String {\n    format!(\"{}/models\", base_url.trim_end_matches('/'))\n}\n\nfn parse_models(raw: &str) -> Result<Vec<String>> {\n    let value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let Some(items) = value[\"data\"].as_array() else {\n        return Ok(Vec::new());\n    };\n    let mut models = Vec::new();\n    for item in items {\n        if let Some(id) = item[\"id\"].as_str() {\n            models.push(id.to_string());\n        }\n    }\n    Ok(models)\n}\n\npub async fn validate_api_key(config: &Config, api_key: &str) -> Result<()> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    info!(\"开始验证 DeepSeek API 密钥\");\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client\n            .post(url)\n            .bearer_auth(api_key)\n            .json(&request)\n            .send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 验证失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 验证失败: {} {}\", status, detail);\n    }\n    info!(\"DeepSeek 验证成功\");\n    Ok(())\n}\n\npub async fn generate_suggestions(\n    config: &Config,\n    api_key: Option<String>,\n    context_messages: &[String],\n) -> Result<Vec<Suggestion>> {\n    let prompt = build_prompt(context_messages);\n    let Some(key) = api_key else {\n        return Ok(fallback_suggestions(&prompt));\n    };\n\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_request(&prompt, &config.deepseek_model);\n\n    let response = client\n        .post(url)\n        .bearer_auth(key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 请求失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n\n    if !status.is_success() {\n        warn!(\"DeepSeek 返回错误: {}\", status);\n        return Ok(fallback_suggestions(&prompt));\n    }\n\n    match parse_response(&raw) {\n        Ok(suggestions) if !suggestions.is_empty() => Ok(suggestions),\n        Ok(_) => Ok(fallback_suggestions(&prompt)),\n        Err(err) => {\n            warn!(\"解析 DeepSeek 响应失败: {}\", err);\n            Ok(fallback_suggestions(&prompt))\n        }\n    }\n}\n\npub async fn list_models(config: &Config, api_key: &str) -> Result<Vec<String>> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_models_url(&config.base_url);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client.get(url).bearer_auth(api_key).send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 拉取模型失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 拉取模型失败: {} {}\", status, detail);\n    }\n    let parsed = parse_models(&raw)?;\n    Ok(normalize_models(parsed))\n}\n\nfn build_prompt(context_messages: &[String]) -> String {\n    if context_messages.is_empty() {\n        return \"用户未提供上下文，请生成礼貌的确认回复。\".to_string();\n    }\n    let mut lines = Vec::new();\n    for (idx, message) in context_messages.iter().enumerate() {\n        lines.push(format!(\"{}: {}\", idx + 1, message));\n    }\n    format!(\"最近对话：\\n{}\\n请生成 3 条回复建议。\", lines.join(\"\\n\"))\n}\n\nfn parse_response(raw: &str) -> Result<Vec<Suggestion>> {\n    let json_value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let content = json_value[\"choices\"][0][\"message\"][\"content\"]\n        .as_str()\n        .unwrap_or_default()\n        .trim();\n    if content.is_empty() {\n        return Ok(Vec::new());\n    }\n\n    let cleaned = content\n        .trim_start_matches(\"```json\")\n        .trim_end_matches(\"```\")\n        .trim();\n    if let Ok(items) = serde_json::from_str::<Vec<Value>>(cleaned) {\n        let mut suggestions = Vec::new();\n        for item in items {\n            let style = match item[\"style\"].as_str().unwrap_or(\"neutral\") {\n                \"formal\" => SuggestionStyle::Formal,\n                \"casual\" => SuggestionStyle::Casual,\n                _ => SuggestionStyle::Neutral,\n            };\n            let text = item[\"text\"].as_str().unwrap_or(\"\").trim().to_string();\n            if !text.is_empty() {\n                suggestions.push(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style,\n                    text,\n                });\n            }\n        }\n        return Ok(suggestions);\n    }\n\n    info!(\"DeepSeek 返回非 JSON 结构，使用降级解析\");\n    let suggestions = cleaned\n        .lines()\n        .filter_map(|line| {\n            let text = line.trim_matches(['-', ' ']).trim();\n            if text.is_empty() {\n                None\n            } else {\n                Some(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style: SuggestionStyle::Neutral,\n                    text: text.to_string(),\n                })\n            }\n        })\n        .collect();\n    Ok(suggestions)\n}\n\nfn fallback_suggestions(prompt: &str) -> Vec<Suggestion> {\n    let summary = summarize_text(prompt);\n    vec![\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Formal,\n            text: format!(\"好的，我了解了：{}，稍后给您回复。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Neutral,\n            text: format!(\"收到，我看看 {} 再回复你。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Casual,\n            text: format!(\"好哒～{} 我等下回你。\", summary),\n        },\n    ]\n}\n\nfn summarize_text(text: &str) -> String {\n    let trimmed: String = text.chars().take(20).collect();\n    if trimmed.is_empty() {\n        \"消息\".to_string()\n    } else {\n        trimmed\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload_is_minimal() {\n        let req = build_request(\"hi\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n        assert_eq!(req[\"stream\"], false);\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn fallback_has_three_styles() {\n        let suggestions = fallback_suggestions(\"hi\");\n        assert_eq!(suggestions.len(), 3);\n    }\n\n    #[test]\n    fn build_validation_request_is_minimal() {\n        let req = build_validation_request(\"ping\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"stream\"], false);\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn normalize_timeout_caps() {\n        assert_eq!(cap_timeout_ms(20_000), 12_000);\n    }\n\n    #[test]\n    fn build_chat_url_trims_slash() {\n        let url = build_chat_url(\"https://api.deepseek.com/\");\n        assert_eq!(url, \"https://api.deepseek.com/chat/completions\");\n    }\n\n    #[test]\n    fn normalize_models_filters_and_fallbacks() {\n        let models = normalize_models(vec![\"x\".to_string()]);\n        assert_eq!(models, vec![\"deepseek-chat\", \"deepseek-reasoner\"]);\n    }\n}\n"}, "a05dcc3609dc13fd8cf08dbf4209f239775e8877": {"t": 1785757009.685507, "n": 9786, "h": "96049ca423666579", "c": "use crate::types::{Config, Suggestion, SuggestionStyle};\nuse anyhow::{Context, Result};\nuse reqwest::Client;\nuse serde_json::{json, Value};\nuse std::time::Duration;\nuse tracing::{info, warn};\nuse uuid::Uuid;\n\nconst SYSTEM_PROMPT: &str = \"你是回复建议助手。请根据对话内容生成 3 条回复建议，分别为正式、\\\n中性、轻松风格。返回 JSON 数组，每个元素包含 style(formal|neutral|casual) 与 text。\";\nconst VALIDATION_PROMPT: &str = \"请回复一个简短确认词，用于验证连接。\";\nconst DEFAULT_MODELS: [&str; 2] = [\"deepseek-chat\", \"deepseek-reasoner\"];\n\nfn cap_timeout_ms(timeout_ms: u64) -> u64 {\n    timeout_ms.clamp(2_000, 8_000)\n}\n\npub fn build_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn build_validation_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": VALIDATION_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ]\n    })\n}\n\npub fn is_supported_model(model: &str) -> bool {\n    DEFAULT_MODELS.iter().any(|item| item == &model)\n}\n\nfn default_models() -> Vec<String> {\n    DEFAULT_MODELS.iter().map(|model| (*model).to_string()).collect()\n}\n\nfn normalize_models(models: Vec<String>) -> Vec<String> {\n    let mut normalized = Vec::new();\n    for model in DEFAULT_MODELS {\n        if models.iter().any(|item| item == model) {\n            normalized.push(model.to_string());\n        }\n    }\n    if normalized.is_empty() {\n        default_models()\n    } else {\n        normalized\n    }\n}\n\nfn build_chat_url(base_url: &str) -> String {\n    format!(\"{}/chat/completions\", base_url.trim_end_matches('/'))\n}\n\nfn build_models_url(base_url: &str) -> String {\n    format!(\"{}/models\", base_url.trim_end_matches('/'))\n}\n\nfn parse_models(raw: &str) -> Result<Vec<String>> {\n    let value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let Some(items) = value[\"data\"].as_array() else {\n        return Ok(Vec::new());\n    };\n    let mut models = Vec::new();\n    for item in items {\n        if let Some(id) = item[\"id\"].as_str() {\n            models.push(id.to_string());\n        }\n    }\n    Ok(models)\n}\n\npub async fn validate_api_key(config: &Config, api_key: &str) -> Result<()> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    info!(\"开始验证 DeepSeek API 密钥\");\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client\n            .post(url)\n            .bearer_auth(api_key)\n            .json(&request)\n            .send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 验证失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 验证失败: {} {}\", status, detail);\n    }\n    info!(\"DeepSeek 验证成功\");\n    Ok(())\n}\n\npub async fn generate_suggestions(\n    config: &Config,\n    api_key: Option<String>,\n    context_messages: &[String],\n) -> Result<Vec<Suggestion>> {\n    let prompt = build_prompt(context_messages);\n    let Some(key) = api_key else {\n        return Ok(fallback_suggestions(&prompt));\n    };\n\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_chat_url(&config.base_url);\n    let request = build_request(&prompt, &config.deepseek_model);\n\n    let response = client\n        .post(url)\n        .bearer_auth(key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 请求失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n\n    if !status.is_success() {\n        warn!(\"DeepSeek 返回错误: {}\", status);\n        return Ok(fallback_suggestions(&prompt));\n    }\n\n    match parse_response(&raw) {\n        Ok(suggestions) if !suggestions.is_empty() => Ok(suggestions),\n        Ok(_) => Ok(fallback_suggestions(&prompt)),\n        Err(err) => {\n            warn!(\"解析 DeepSeek 响应失败: {}\", err);\n            Ok(fallback_suggestions(&prompt))\n        }\n    }\n}\n\npub async fn list_models(config: &Config, api_key: &str) -> Result<Vec<String>> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = build_models_url(&config.base_url);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client.get(url).bearer_auth(api_key).send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 拉取模型失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 拉取模型失败: {} {}\", status, detail);\n    }\n    let parsed = parse_models(&raw)?;\n    Ok(normalize_models(parsed))\n}\n\nfn build_prompt(context_messages: &[String]) -> String {\n    if context_messages.is_empty() {\n        return \"用户未提供上下文，请生成礼貌的确认回复。\".to_string();\n    }\n    let mut lines = Vec::new();\n    for (idx, message) in context_messages.iter().enumerate() {\n        lines.push(format!(\"{}: {}\", idx + 1, message));\n    }\n    format!(\"最近对话：\\n{}\\n请生成 3 条回复建议。\", lines.join(\"\\n\"))\n}\n\nfn parse_response(raw: &str) -> Result<Vec<Suggestion>> {\n    let json_value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let content = json_value[\"choices\"][0][\"message\"][\"content\"]\n        .as_str()\n        .unwrap_or_default()\n        .trim();\n    if content.is_empty() {\n        return Ok(Vec::new());\n    }\n\n    let cleaned = content\n        .trim_start_matches(\"```json\")\n        .trim_end_matches(\"```\")\n        .trim();\n    if let Ok(items) = serde_json::from_str::<Vec<Value>>(cleaned) {\n        let mut suggestions = Vec::new();\n        for item in items {\n            let style = match item[\"style\"].as_str().unwrap_or(\"neutral\") {\n                \"formal\" => SuggestionStyle::Formal,\n                \"casual\" => SuggestionStyle::Casual,\n                _ => SuggestionStyle::Neutral,\n            };\n            let text = item[\"text\"].as_str().unwrap_or(\"\").trim().to_string();\n            if !text.is_empty() {\n                suggestions.push(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style,\n                    text,\n                });\n            }\n        }\n        return Ok(suggestions);\n    }\n\n    info!(\"DeepSeek 返回非 JSON 结构，使用降级解析\");\n    let suggestions = cleaned\n        .lines()\n        .filter_map(|line| {\n            let text = line.trim_matches(['-', ' ']).trim();\n            if text.is_empty() {\n                None\n            } else {\n                Some(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style: SuggestionStyle::Neutral,\n                    text: text.to_string(),\n                })\n            }\n        })\n        .collect();\n    Ok(suggestions)\n}\n\nfn fallback_suggestions(prompt: &str) -> Vec<Suggestion> {\n    let summary = summarize_text(prompt);\n    vec![\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Formal,\n            text: format!(\"好的，我了解了：{}，稍后给您回复。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Neutral,\n            text: format!(\"收到，我看看 {} 再回复你。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Casual,\n            text: format!(\"好哒～{} 我等下回你。\", summary),\n        },\n    ]\n}\n\nfn summarize_text(text: &str) -> String {\n    let trimmed: String = text.chars().take(20).collect();\n    if trimmed.is_empty() {\n        \"消息\".to_string()\n    } else {\n        trimmed\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload_is_minimal() {\n        let req = build_request(\"hi\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn fallback_has_three_styles() {\n        let suggestions = fallback_suggestions(\"hi\");\n        assert_eq!(suggestions.len(), 3);\n    }\n\n    #[test]\n    fn build_validation_request_is_minimal() {\n        let req = build_validation_request(\"ping\", \"deepseek-chat\");\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert!(req.get(\"temperature\").is_none());\n        assert!(req.get(\"top_p\").is_none());\n        assert!(req.get(\"n\").is_none());\n    }\n\n    #[test]\n    fn normalize_timeout_caps() {\n        assert_eq!(cap_timeout_ms(12_000), 8_000);\n    }\n\n    #[test]\n    fn build_chat_url_trims_slash() {\n        let url = build_chat_url(\"https://api.deepseek.com/\");\n        assert_eq!(url, \"https://api.deepseek.com/chat/completions\");\n    }\n\n    #[test]\n    fn normalize_models_filters_and_fallbacks() {\n        let models = normalize_models(vec![\"x\".to_string()]);\n        assert_eq!(models, vec![\"deepseek-chat\", \"deepseek-reasoner\"]);\n    }\n}\n"}, "27e7c2c39423a0c95963cb515fe0ced0d37226e8": {"t": 1785757010.9205842, "n": 7475, "h": "683512bb6aad82b1", "c": "use crate::types::{Config, Suggestion, SuggestionStyle};\nuse anyhow::{Context, Result};\nuse reqwest::Client;\nuse serde_json::{json, Value};\nuse std::time::Duration;\nuse tracing::{info, warn};\nuse uuid::Uuid;\n\nconst SYSTEM_PROMPT: &str = \"你是回复建议助手。请根据对话内容生成 3 条回复建议，分别为正式、\\\n中性、轻松风格。返回 JSON 数组，每个元素包含 style(formal|neutral|casual) 与 text。\";\nconst VALIDATION_PROMPT: &str = \"请回复一个简短确认词，用于验证连接。\";\n\nfn cap_timeout_ms(timeout_ms: u64) -> u64 {\n    timeout_ms.clamp(2_000, 8_000)\n}\n\npub fn build_request(\n    user_input: &str,\n    suggestion_count: u32,\n    model: &str,\n    temperature: f32,\n    top_p: f32,\n) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ],\n        \"temperature\": temperature,\n        \"top_p\": top_p,\n        \"n\": suggestion_count,\n        \"stream\": false\n    })\n}\n\npub fn build_validation_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": VALIDATION_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ],\n        \"temperature\": 0.0,\n        \"top_p\": 1.0,\n        \"n\": 1,\n        \"stream\": false\n    })\n}\n\npub async fn validate_api_key(config: &Config, api_key: &str) -> Result<()> {\n    let timeout_ms = cap_timeout_ms(config.timeout_ms);\n    info!(\"开始验证 DeepSeek API 密钥\");\n    let client = Client::builder()\n        .timeout(Duration::from_millis(timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = format!(\n        \"{}/v1/chat/completions\",\n        config.base_url.trim_end_matches('/')\n    );\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n\n    let response = tokio::time::timeout(\n        Duration::from_millis(timeout_ms),\n        client\n            .post(url)\n            .bearer_auth(api_key)\n            .json(&request)\n            .send(),\n    )\n    .await\n    .context(\"DeepSeek 连接超时\")?\n    .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        warn!(\"DeepSeek 验证失败: {}\", status);\n        anyhow::bail!(\"DeepSeek 验证失败: {} {}\", status, detail);\n    }\n    info!(\"DeepSeek 验证成功\");\n    Ok(())\n}\n\npub async fn generate_suggestions(\n    config: &Config,\n    api_key: Option<String>,\n    context_messages: &[String],\n) -> Result<Vec<Suggestion>> {\n    let prompt = build_prompt(context_messages);\n    let Some(key) = api_key else {\n        return Ok(fallback_suggestions(&prompt));\n    };\n\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = format!(\n        \"{}/v1/chat/completions\",\n        config.base_url.trim_end_matches('/')\n    );\n    let request = build_request(\n        &prompt,\n        config.suggestion_count,\n        &config.deepseek_model,\n        config.temperature,\n        config.top_p,\n    );\n\n    let response = client\n        .post(url)\n        .bearer_auth(key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 请求失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n\n    if !status.is_success() {\n        warn!(\"DeepSeek 返回错误: {}\", status);\n        return Ok(fallback_suggestions(&prompt));\n    }\n\n    match parse_response(&raw) {\n        Ok(suggestions) if !suggestions.is_empty() => Ok(suggestions),\n        Ok(_) => Ok(fallback_suggestions(&prompt)),\n        Err(err) => {\n            warn!(\"解析 DeepSeek 响应失败: {}\", err);\n            Ok(fallback_suggestions(&prompt))\n        }\n    }\n}\n\nfn build_prompt(context_messages: &[String]) -> String {\n    if context_messages.is_empty() {\n        return \"用户未提供上下文，请生成礼貌的确认回复。\".to_string();\n    }\n    let mut lines = Vec::new();\n    for (idx, message) in context_messages.iter().enumerate() {\n        lines.push(format!(\"{}: {}\", idx + 1, message));\n    }\n    format!(\"最近对话：\\n{}\\n请生成 3 条回复建议。\", lines.join(\"\\n\"))\n}\n\nfn parse_response(raw: &str) -> Result<Vec<Suggestion>> {\n    let json_value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let content = json_value[\"choices\"][0][\"message\"][\"content\"]\n        .as_str()\n        .unwrap_or_default()\n        .trim();\n    if content.is_empty() {\n        return Ok(Vec::new());\n    }\n\n    let cleaned = content\n        .trim_start_matches(\"```json\")\n        .trim_end_matches(\"```\")\n        .trim();\n    if let Ok(items) = serde_json::from_str::<Vec<Value>>(cleaned) {\n        let mut suggestions = Vec::new();\n        for item in items {\n            let style = match item[\"style\"].as_str().unwrap_or(\"neutral\") {\n                \"formal\" => SuggestionStyle::Formal,\n                \"casual\" => SuggestionStyle::Casual,\n                _ => SuggestionStyle::Neutral,\n            };\n            let text = item[\"text\"].as_str().unwrap_or(\"\").trim().to_string();\n            if !text.is_empty() {\n                suggestions.push(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style,\n                    text,\n                });\n            }\n        }\n        return Ok(suggestions);\n    }\n\n    info!(\"DeepSeek 返回非 JSON 结构，使用降级解析\");\n    let suggestions = cleaned\n        .lines()\n        .filter_map(|line| {\n            let text = line.trim_matches(['-', ' ']).trim();\n            if text.is_empty() {\n                None\n            } else {\n                Some(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style: SuggestionStyle::Neutral,\n                    text: text.to_string(),\n                })\n            }\n        })\n        .collect();\n    Ok(suggestions)\n}\n\nfn fallback_suggestions(prompt: &str) -> Vec<Suggestion> {\n    let summary = summarize_text(prompt);\n    vec![\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Formal,\n            text: format!(\"好的，我了解了：{}，稍后给您回复。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Neutral,\n            text: format!(\"收到，我看看 {} 再回复你。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Casual,\n            text: format!(\"好哒～{} 我等下回你。\", summary),\n        },\n    ]\n}\n\nfn summarize_text(text: &str) -> String {\n    let trimmed: String = text.chars().take(20).collect();\n    if trimmed.is_empty() {\n        \"消息\".to_string()\n    } else {\n        trimmed\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload() {\n        let req = build_request(\"hi\", 3, \"deepseek-chat\", 0.7, 1.0);\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n    }\n\n    #[test]\n    fn fallback_has_three_styles() {\n        let suggestions = fallback_suggestions(\"hi\");\n        assert_eq!(suggestions.len(), 3);\n    }\n\n    #[test]\n    fn build_validation_request_is_minimal() {\n        let req = build_validation_request(\"ping\", \"deepseek-chat\");\n        assert_eq!(req[\"n\"], 1);\n        assert_eq!(req[\"temperature\"], 0.0);\n    }\n\n    #[test]\n    fn normalize_timeout_caps() {\n        assert_eq!(cap_timeout_ms(12_000), 8_000);\n    }\n}\n"}, "bd637b4b147ad1fec37e76f8006f64a7ed20a83c": {"t": 1785757012.8368986, "n": 7025, "h": "a802d79676fe2e64", "c": "use crate::types::{Config, Suggestion, SuggestionStyle};\nuse anyhow::{Context, Result};\nuse reqwest::Client;\nuse serde_json::{json, Value};\nuse std::time::Duration;\nuse tracing::{info, warn};\nuse uuid::Uuid;\n\nconst SYSTEM_PROMPT: &str = \"你是回复建议助手。请根据对话内容生成 3 条回复建议，分别为正式、\\\n中性、轻松风格。返回 JSON 数组，每个元素包含 style(formal|neutral|casual) 与 text。\";\nconst VALIDATION_PROMPT: &str = \"请回复一个简短确认词，用于验证连接。\";\n\npub fn build_request(\n    user_input: &str,\n    suggestion_count: u32,\n    model: &str,\n    temperature: f32,\n    top_p: f32,\n) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ],\n        \"temperature\": temperature,\n        \"top_p\": top_p,\n        \"n\": suggestion_count,\n        \"stream\": false\n    })\n}\n\npub fn build_validation_request(user_input: &str, model: &str) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": VALIDATION_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ],\n        \"temperature\": 0.0,\n        \"top_p\": 1.0,\n        \"n\": 1,\n        \"stream\": false\n    })\n}\n\npub async fn validate_api_key(config: &Config, api_key: &str) -> Result<()> {\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms.min(8_000)))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = format!(\n        \"{}/v1/chat/completions\",\n        config.base_url.trim_end_matches('/')\n    );\n    let request = build_validation_request(\"ping\", &config.deepseek_model);\n\n    let response = client\n        .post(url)\n        .bearer_auth(api_key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 连接失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n    if !status.is_success() {\n        let detail: String = raw.chars().take(200).collect();\n        anyhow::bail!(\"DeepSeek 验证失败: {} {}\", status, detail);\n    }\n    Ok(())\n}\n\npub async fn generate_suggestions(\n    config: &Config,\n    api_key: Option<String>,\n    context_messages: &[String],\n) -> Result<Vec<Suggestion>> {\n    let prompt = build_prompt(context_messages);\n    let Some(key) = api_key else {\n        return Ok(fallback_suggestions(&prompt));\n    };\n\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = format!(\n        \"{}/v1/chat/completions\",\n        config.base_url.trim_end_matches('/')\n    );\n    let request = build_request(\n        &prompt,\n        config.suggestion_count,\n        &config.deepseek_model,\n        config.temperature,\n        config.top_p,\n    );\n\n    let response = client\n        .post(url)\n        .bearer_auth(key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 请求失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n\n    if !status.is_success() {\n        warn!(\"DeepSeek 返回错误: {}\", status);\n        return Ok(fallback_suggestions(&prompt));\n    }\n\n    match parse_response(&raw) {\n        Ok(suggestions) if !suggestions.is_empty() => Ok(suggestions),\n        Ok(_) => Ok(fallback_suggestions(&prompt)),\n        Err(err) => {\n            warn!(\"解析 DeepSeek 响应失败: {}\", err);\n            Ok(fallback_suggestions(&prompt))\n        }\n    }\n}\n\nfn build_prompt(context_messages: &[String]) -> String {\n    if context_messages.is_empty() {\n        return \"用户未提供上下文，请生成礼貌的确认回复。\".to_string();\n    }\n    let mut lines = Vec::new();\n    for (idx, message) in context_messages.iter().enumerate() {\n        lines.push(format!(\"{}: {}\", idx + 1, message));\n    }\n    format!(\"最近对话：\\n{}\\n请生成 3 条回复建议。\", lines.join(\"\\n\"))\n}\n\nfn parse_response(raw: &str) -> Result<Vec<Suggestion>> {\n    let json_value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let content = json_value[\"choices\"][0][\"message\"][\"content\"]\n        .as_str()\n        .unwrap_or_default()\n        .trim();\n    if content.is_empty() {\n        return Ok(Vec::new());\n    }\n\n    let cleaned = content\n        .trim_start_matches(\"```json\")\n        .trim_end_matches(\"```\")\n        .trim();\n    if let Ok(items) = serde_json::from_str::<Vec<Value>>(cleaned) {\n        let mut suggestions = Vec::new();\n        for item in items {\n            let style = match item[\"style\"].as_str().unwrap_or(\"neutral\") {\n                \"formal\" => SuggestionStyle::Formal,\n                \"casual\" => SuggestionStyle::Casual,\n                _ => SuggestionStyle::Neutral,\n            };\n            let text = item[\"text\"].as_str().unwrap_or(\"\").trim().to_string();\n            if !text.is_empty() {\n                suggestions.push(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style,\n                    text,\n                });\n            }\n        }\n        return Ok(suggestions);\n    }\n\n    info!(\"DeepSeek 返回非 JSON 结构，使用降级解析\");\n    let suggestions = cleaned\n        .lines()\n        .filter_map(|line| {\n            let text = line.trim_matches(['-', ' ']).trim();\n            if text.is_empty() {\n                None\n            } else {\n                Some(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style: SuggestionStyle::Neutral,\n                    text: text.to_string(),\n                })\n            }\n        })\n        .collect();\n    Ok(suggestions)\n}\n\nfn fallback_suggestions(prompt: &str) -> Vec<Suggestion> {\n    let summary = summarize_text(prompt);\n    vec![\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Formal,\n            text: format!(\"好的，我了解了：{}，稍后给您回复。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Neutral,\n            text: format!(\"收到，我看看 {} 再回复你。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Casual,\n            text: format!(\"好哒～{} 我等下回你。\", summary),\n        },\n    ]\n}\n\nfn summarize_text(text: &str) -> String {\n    let trimmed: String = text.chars().take(20).collect();\n    if trimmed.is_empty() {\n        \"消息\".to_string()\n    } else {\n        trimmed\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload() {\n        let req = build_request(\"hi\", 3, \"deepseek-chat\", 0.7, 1.0);\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n    }\n\n    #[test]\n    fn fallback_has_three_styles() {\n        let suggestions = fallback_suggestions(\"hi\");\n        assert_eq!(suggestions.len(), 3);\n    }\n\n    #[test]\n    fn build_validation_request_is_minimal() {\n        let req = build_validation_request(\"ping\", \"deepseek-chat\");\n        assert_eq!(req[\"n\"], 1);\n        assert_eq!(req[\"temperature\"], 0.0);\n    }\n}\n"}, "49b771fb17bdfd82cbd11d5fe95044d8144d5094": {"t": 1785757014.1222465, "n": 5535, "h": "ffd8b2130a994e87", "c": "use crate::types::{Config, Suggestion, SuggestionStyle};\nuse anyhow::{Context, Result};\nuse reqwest::Client;\nuse serde_json::{json, Value};\nuse std::time::Duration;\nuse tracing::{info, warn};\nuse uuid::Uuid;\n\nconst SYSTEM_PROMPT: &str = \"你是回复建议助手。请根据对话内容生成 3 条回复建议，分别为正式、\\\n中性、轻松风格。返回 JSON 数组，每个元素包含 style(formal|neutral|casual) 与 text。\";\n\npub fn build_request(\n    user_input: &str,\n    suggestion_count: u32,\n    model: &str,\n    temperature: f32,\n    top_p: f32,\n) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM_PROMPT},\n            {\"role\": \"user\", \"content\": user_input}\n        ],\n        \"temperature\": temperature,\n        \"top_p\": top_p,\n        \"n\": suggestion_count,\n        \"stream\": false\n    })\n}\n\npub async fn generate_suggestions(\n    config: &Config,\n    api_key: Option<String>,\n    context_messages: &[String],\n) -> Result<Vec<Suggestion>> {\n    let prompt = build_prompt(context_messages);\n    let Some(key) = api_key else {\n        return Ok(fallback_suggestions(&prompt));\n    };\n\n    let client = Client::builder()\n        .timeout(Duration::from_millis(config.timeout_ms))\n        .build()\n        .context(\"创建 HTTP 客户端失败\")?;\n    let url = format!(\n        \"{}/v1/chat/completions\",\n        config.base_url.trim_end_matches('/')\n    );\n    let request = build_request(\n        &prompt,\n        config.suggestion_count,\n        &config.deepseek_model,\n        config.temperature,\n        config.top_p,\n    );\n\n    let response = client\n        .post(url)\n        .bearer_auth(key)\n        .json(&request)\n        .send()\n        .await\n        .context(\"DeepSeek 请求失败\")?;\n    let status = response.status();\n    let raw = response.text().await.context(\"读取 DeepSeek 响应失败\")?;\n\n    if !status.is_success() {\n        warn!(\"DeepSeek 返回错误: {}\", status);\n        return Ok(fallback_suggestions(&prompt));\n    }\n\n    match parse_response(&raw) {\n        Ok(suggestions) if !suggestions.is_empty() => Ok(suggestions),\n        Ok(_) => Ok(fallback_suggestions(&prompt)),\n        Err(err) => {\n            warn!(\"解析 DeepSeek 响应失败: {}\", err);\n            Ok(fallback_suggestions(&prompt))\n        }\n    }\n}\n\nfn build_prompt(context_messages: &[String]) -> String {\n    if context_messages.is_empty() {\n        return \"用户未提供上下文，请生成礼貌的确认回复。\".to_string();\n    }\n    let mut lines = Vec::new();\n    for (idx, message) in context_messages.iter().enumerate() {\n        lines.push(format!(\"{}: {}\", idx + 1, message));\n    }\n    format!(\"最近对话：\\n{}\\n请生成 3 条回复建议。\", lines.join(\"\\n\"))\n}\n\nfn parse_response(raw: &str) -> Result<Vec<Suggestion>> {\n    let json_value: Value = serde_json::from_str(raw).context(\"响应 JSON 解析失败\")?;\n    let content = json_value[\"choices\"][0][\"message\"][\"content\"]\n        .as_str()\n        .unwrap_or_default()\n        .trim();\n    if content.is_empty() {\n        return Ok(Vec::new());\n    }\n\n    let cleaned = content\n        .trim_start_matches(\"```json\")\n        .trim_end_matches(\"```\")\n        .trim();\n    if let Ok(items) = serde_json::from_str::<Vec<Value>>(cleaned) {\n        let mut suggestions = Vec::new();\n        for item in items {\n            let style = match item[\"style\"].as_str().unwrap_or(\"neutral\") {\n                \"formal\" => SuggestionStyle::Formal,\n                \"casual\" => SuggestionStyle::Casual,\n                _ => SuggestionStyle::Neutral,\n            };\n            let text = item[\"text\"].as_str().unwrap_or(\"\").trim().to_string();\n            if !text.is_empty() {\n                suggestions.push(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style,\n                    text,\n                });\n            }\n        }\n        return Ok(suggestions);\n    }\n\n    info!(\"DeepSeek 返回非 JSON 结构，使用降级解析\");\n    let suggestions = cleaned\n        .lines()\n        .filter_map(|line| {\n            let text = line.trim_matches(['-', ' ']).trim();\n            if text.is_empty() {\n                None\n            } else {\n                Some(Suggestion {\n                    id: Uuid::new_v4().to_string(),\n                    style: SuggestionStyle::Neutral,\n                    text: text.to_string(),\n                })\n            }\n        })\n        .collect();\n    Ok(suggestions)\n}\n\nfn fallback_suggestions(prompt: &str) -> Vec<Suggestion> {\n    let summary = summarize_text(prompt);\n    vec![\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Formal,\n            text: format!(\"好的，我了解了：{}，稍后给您回复。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Neutral,\n            text: format!(\"收到，我看看 {} 再回复你。\", summary),\n        },\n        Suggestion {\n            id: Uuid::new_v4().to_string(),\n            style: SuggestionStyle::Casual,\n            text: format!(\"好哒～{} 我等下回你。\", summary),\n        },\n    ]\n}\n\nfn summarize_text(text: &str) -> String {\n    let trimmed: String = text.chars().take(20).collect();\n    if trimmed.is_empty() {\n        \"消息\".to_string()\n    } else {\n        trimmed\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload() {\n        let req = build_request(\"hi\", 3, \"deepseek-chat\", 0.7, 1.0);\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n    }\n\n    #[test]\n    fn fallback_has_three_styles() {\n        let suggestions = fallback_suggestions(\"hi\");\n        assert_eq!(suggestions.len(), 3);\n    }\n}\n"}, "bf06f6564f88b28e20cca543444126f1a21843ea": {"t": 1785757016.5887058, "n": 755, "h": "221108b8e91c4b08", "c": "use serde_json::{json, Value};\n\npub fn build_request(\n    user_input: &str,\n    suggestion_count: u32,\n    model: &str,\n    temperature: f32,\n    top_p: f32,\n) -> Value {\n    json!({\n        \"model\": model,\n        \"messages\": [\n            {\"role\": \"system\", \"content\": \"你是回复建议助手\"},\n            {\"role\": \"user\", \"content\": user_input}\n        ],\n        \"temperature\": temperature,\n        \"top_p\": top_p,\n        \"n\": suggestion_count,\n        \"stream\": false\n    })\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn build_request_payload() {\n        let req = build_request(\"hi\", 3, \"deepseek-chat\", 0.7, 1.0);\n        assert_eq!(req[\"model\"], \"deepseek-chat\");\n        assert_eq!(req[\"messages\"].as_array().unwrap().len(), 2);\n    }\n}\n"}}}}