feat: CutThenThink v3.0 初始版本

完整实现 Tauri + Vanilla JS 轻量级截图工具

Phase 1 - 项目搭建
- Tauri 2.x 项目初始化
- Vite 前端项目搭建
- 基础 UI 框架（CSS 变量、组件库）
- 构建配置优化

Phase 2 - 核心截图功能
- 全屏/区域/窗口截图
- 截图预览和管理
- 文件命名和缩略图
- 全局快捷键集成

Phase 3 - 上传与存储
- 多图床上传（GitHub/Imgur/自定义）
- 配置管理系统
- SQLite 数据库

Phase 4 - OCR 集成
- 云端 OCR（百度/腾讯云）
- 插件管理系统
- 本地 OCR 插件（Go）
- OCR 结果处理

Phase 5 - AI 分类系统
- Claude/OpenAI API 集成
- Prompt 模板引擎
- 模板管理界面
- 自动分类流程

Phase 6 - 历史记录与管理
- 图库视图（网格/列表）
- 搜索与筛选
- 批量操作
- 导出功能（JSON/CSV/ZIP）

Phase 7 - 打包与发布
- 多平台构建配置
- CI/CD 工作流
- 图标和资源
- 安装包配置

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src-tauri/.gitignore

@@ -0,0 +1,4 @@
+# Generated by Cargo
+# will have compiled files and executables
+/target/
+/gen/schemas

src-tauri/Cargo.toml

@@ -0,0 +1,54 @@
+[package]
+name = "cut-think-lite"
+version = "0.1.0"
+description = "CutThenThink Lite - AI-powered Clipboard Manager"
+authors = ["CutThenThink Team"]
+license = "MIT"
+repository = "https://github.com/cutthenthink/cutThink-lite"
+edition = "2021"
+rust-version = "1.77.2"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[lib]
+name = "app_lib"
+crate-type = ["staticlib", "cdylib", "rlib"]
+
+[build-dependencies]
+tauri-build = { version = "2.5.4" }
+
+[dependencies]
+serde_json = "1.0"
+serde = { version = "1.0", features = ["derive"] }
+log = "0.4"
+tauri = { version = "2.10.0" }
+tauri-plugin-log = "2"
+tauri-plugin-global-shortcut = "2"
+tauri-plugin-shell = "2"
+screenshots = "0.7"
+image = "0.24"
+base64 = "0.21"
+chrono = "0.4"
+arboard = "3.2"
+anyhow = "1.0"
+dirs = "5.0"
+
+# Phase 3 dependencies
+reqwest = { version = "0.11", features = ["json", "multipart"] }
+tokio = { version = "1", features = ["full"] }
+rusqlite = { version = "0.30", features = ["bundled", "chrono"] }
+uuid = { version = "1.0", features = ["v4", "serde"] }
+notify = "6.0"
+
+# Phase 4 dependencies
+sha2 = "0.10"
+hex = "0.4"
+hmac = "0.12"
+aes-gcm = "0.10"
+rand = "0.8"
+urlencoding = "2.1"
+futures-util = "0.3"
+tempfile = "3.3"
+
+# Phase 5 dependencies (AI)
+thiserror = "1.0"

src-tauri/appstream.xml

@@ -0,0 +1,48 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<component type="desktop-application">
+  <id>com.cutthenthink.app</id>
+  <name>CutThenThink Lite</name>
+  <summary>Lightweight screenshot and annotation tool</summary>
+  <summary xml:lang="zh_CN">轻量级截图与标注工具</summary>
+  <developer_name>CutThenThink</developer_name>
+  <launchable type="desktop-id">com.cutthenthink.app.desktop</launchable>
+
+  <description>
+    <p>
+      CutThenThink Lite is a lightweight screenshot capture and annotation tool designed for quick visual communication.
+    </p>
+    <p xml:lang="zh_CN">
+      CutThenThink Lite 是一个轻量级的截图捕获和标注工具，专为快速视觉交流而设计。
+    </p>
+    <p>Features:</p>
+    <ul>
+      <li>Quick screen capture with customizable shortcuts</li>
+      <li>Advanced annotation tools (text, arrows, shapes, blur)</li>
+      <li>Multiple save formats (PNG, JPEG, WebP)</li>
+      <li>OCR text recognition plugin support</li>
+      <li>Minimal resource usage</li>
+    </ul>
+  </description>
+
+  <metadata_license>MIT</metadata_license>
+  <project_license>MIT</project_license>
+
+  <supports>
+    <control>pointing</control>
+    <control>keyboard</control>
+  </supports>
+
+  <url type="homepage">https://github.com/cutthenthink/cutthink-lite</url>
+  <url type="bugtracker">https://github.com/cutthenthink/cutthink-lite/issues</url>
+  <url type="donation">https://github.com/sponsors/cutthenthink</url>
+
+  <content_rating type="oars-1.1" />
+
+  <releases>
+    <release version="0.1.0" date="2025-02-12">
+      <description>
+        <p>Initial release</p>
+      </description>
+    </release>
+  </releases>
+</component>

src-tauri/build.rs

@@ -0,0 +1,3 @@
+fn main() {
+  tauri_build::build()
+}

src-tauri/capabilities/default.json

@@ -0,0 +1,11 @@
+{
+  "$schema": "../gen/schemas/desktop-schema.json",
+  "identifier": "default",
+  "description": "enables the default permissions",
+  "windows": [
+    "main"
+  ],
+  "permissions": [
+    "core:default"
+  ]
+}

src-tauri/com.cutthenthink.app.desktop

@@ -0,0 +1,17 @@
+[Desktop Entry]
+Name=CutThenThink Lite
+Comment=Lightweight screenshot and annotation tool
+Comment[zh_CN]=轻量级截图与标注工具
+GenericName=Screenshot Tool
+GenericName[zh_CN]=截图工具
+Exec=cutthink-lite %U
+Icon=com.cutthenthink.app
+Type=Application
+Terminal=false
+Categories=Utility;Graphics;2DGraphics;
+Keywords=screenshot;capture;annotation;image;
+Keywords[zh_CN]=截图;捕获;标注;图像;
+StartupNotify=true
+StartupWMClass=cutthink-lite
+MimeType=image/png;image/jpeg;image/jpg;image/webp;
+X-GNOME-UsesNotifications=true

src-tauri/nsis/custom.nsi

@@ -0,0 +1,91 @@
+; Custom NSIS script for CutThenThink Lite
+; This provides additional configuration for Windows installer
+
+!addincludedir "${CMAKE_CURRENT_SOURCE_DIR}/nsis"
+
+; Modern UI Interface
+!include "MUI2.nsh"
+
+; Installer Settings
+Name "CutThenThink Lite"
+OutFile "CutThenThink-Lite-Setup.exe"
+InstallDir "$PROGRAMFILES\CutThenThink Lite"
+InstallDirRegKey HKLM "Software\CutThenThink Lite" "InstallLocation"
+RequestExecutionLevel admin
+
+; Variables
+Var StartMenuFolder
+
+; Interface Settings
+!define MUI_ABORTWARNING
+!define MUI_ICON "icons\icon.ico"
+!define MUI_UNICON "icons\icon.ico"
+!define MUI_HEADERIMAGE
+!define MUI_HEADERIMAGE_BITMAP "icons\header.bmp" ; Optional
+!define MUI_WELCOMEFINISHPAGE_BITMAP "icons\welcome.bmp" ; Optional
+
+; Pages
+!insertmacro MUI_PAGE_WELCOME
+!insertmacro MUI_PAGE_LICENSE "LICENSE"
+!insertmacro MUI_PAGE_COMPONENTS
+!insertmacro MUI_PAGE_DIRECTORY
+!insertmacro MUI_PAGE_STARTMENU Application $StartMenuFolder
+!insertmacro MUI_PAGE_INSTFILES
+!insertmacro MUI_PAGE_FINISH
+
+!insertmacro MUI_UNPAGE_WELCOME
+!insertmacro MUI_UNPAGE_CONFIRM
+!insertmacro MUI_UNPAGE_INSTFILES
+!insertmacro MUI_UNPAGE_FINISH
+
+; Languages
+!insertmacro MUI_LANGUAGE "English"
+!insertmacro MUI_LANGUAGE "SimpChinese"
+
+; Installer Sections
+Section "Main Application" SecMain
+  SectionIn RO
+
+  SetOutPath $INSTDIR
+
+  ; Install application files
+  File /r "${CMAKE_CURRENT_SOURCE_DIR}\target\${RUST_TARGET}\release\bundle\nsis\*.*"
+
+  ; Create uninstaller
+  WriteUninstaller "$INSTDIR\Uninstall.exe"
+
+  ; Register installation
+  WriteRegStr HKLM "Software\CutThenThink Lite" "InstallLocation" "$INSTDIR"
+  WriteRegStr HKLM "Software\Microsoft\Windows\CurrentVersion\Uninstall\CutThenThink Lite" "DisplayName" "CutThenThink Lite"
+  WriteRegStr HKLM "Software\Microsoft\Windows\CurrentVersion\Uninstall\CutThenThink Lite" "UninstallString" "$INSTDIR\Uninstall.exe"
+  WriteRegStr HKLM "Software\Microsoft\Windows\CurrentVersion\Uninstall\CutThenThink Lite" "Publisher" "CutThenThink"
+  WriteRegStr HKLM "Software\Microsoft\Windows\CurrentVersion\Uninstall\CutThenThink Lite" "DisplayVersion" "${TAURI_APP_VERSION}"
+  WriteRegDWORD HKLM "Software\Microsoft\Windows\CurrentVersion\Uninstall\CutThenThink Lite" "NoModify" 1
+  WriteRegDWORD HKLM "Software\Microsoft\Windows\CurrentVersion\Uninstall\CutThenThink Lite" "NoRepair" 1
+
+  ; Create Start Menu shortcuts
+  !insertmacro MUI_STARTMENU_WRITE_BEGIN Application
+    CreateDirectory "$SMPROGRAMS\$StartMenuFolder"
+    CreateShortcut "$SMPROGRAMS\$StartMenuFolder\CutThenThink Lite.lnk" "$INSTDIR\CutThenThink Lite.exe"
+    CreateShortcut "$SMPROGRAMS\$StartMenuFolder\Uninstall.lnk" "$INSTDIR\Uninstall.exe"
+  !insertmacro MUI_STARTMENU_WRITE_END
+
+  ; Create desktop shortcut
+  CreateShortcut "$DESKTOP\CutThenThink Lite.lnk" "$INSTDIR\CutThenThink Lite.exe"
+
+SectionEnd
+
+; Uninstaller Section
+Section "Uninstall"
+  Delete "$INSTDIR\Uninstall.exe"
+  Delete "$INSTDIR\*.*"
+  RMDir /r "$INSTDIR"
+
+  !insertmacro MUI_STARTMENU_GETFOLDER Application $StartMenuFolder
+  Delete "$SMPROGRAMS\$StartMenuFolder\*.*"
+  RMDir "$SMPROGRAMS\$StartMenuFolder"
+  Delete "$DESKTOP\CutThenThink Lite.lnk"
+
+  DeleteRegKey HKLM "Software\CutThenThink Lite"
+  DeleteRegKey HKLM "Software\Microsoft\Windows\CurrentVersion\Uninstall\CutThenThink Lite"
+SectionEnd

src-tauri/src/ai/classify.rs

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+use super::{AiClient, AiError, AiProvider, ClassificationResult, PromptEngine};
+use anyhow::{Context, Result};
+use serde_json::Value;
+use std::collections::HashMap;
+use std::sync::Mutex;
+
+/// 分类器配置
+#[derive(Debug, Clone)]
+pub struct ClassifierConfig {
+    /// 使用的 AI 提供商
+    pub provider: AiProvider,
+    /// 最小置信度阈值（低于此值需要人工确认）
+    pub min_confidence: f64,
+    /// 是否自动应用分类结果
+    pub auto_apply: bool,
+}
+
+impl Default for ClassifierConfig {
+    fn default() -> Self {
+        Self {
+            provider: AiProvider::Claude,
+            min_confidence: 0.7,
+            auto_apply: false,
+        }
+    }
+}
+
+/// 分类器
+pub struct Classifier {
+    /// AI 客户端
+    client: Mutex<AiClient>,
+    /// Prompt 引擎
+    prompt_engine: PromptEngine,
+    /// 分类器配置
+    config: ClassifierConfig,
+}
+
+impl Classifier {
+    /// 创建新的分类器
+    pub fn new(config: ClassifierConfig) -> Self {
+        let client = AiClient::new(config.provider);
+
+        Self {
+            client: Mutex::new(client),
+            prompt_engine: PromptEngine::new(),
+            config,
+        }
+    }
+
+    /// 配置 AI 客户端
+    pub fn configure_claude(&self, api_key: String, model: Option<String>) -> Result<()> {
+        let mut client = self.client.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let claude_config = super::client::ClaudeConfig {
+            api_key,
+            model: model.unwrap_or_else(|| "claude-3-5-sonnet-20241022".to_string()),
+            max_tokens: 4096,
+            temperature: 0.3, // 较低的温度以获得更一致的结果
+        };
+
+        *client = AiClient::new(self.config.provider)
+            .with_claude_config(claude_config);
+
+        Ok(())
+    }
+
+    /// 配置 OpenAI 客户端
+    pub fn configure_openai(
+        &self,
+        api_key: String,
+        model: Option<String>,
+        base_url: Option<String>,
+    ) -> Result<()> {
+        let mut client = self.client.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let openai_config = super::client::OpenAiConfig {
+            api_key,
+            model: model.unwrap_or_else(|| "gpt-4o".to_string()),
+            max_tokens: 4096,
+            temperature: 0.3,
+            base_url,
+        };
+
+        *client = AiClient::new(self.config.provider)
+            .with_openai_config(openai_config);
+
+        Ok(())
+    }
+
+    /// 对内容进行分类
+    pub async fn classify(
+        &self,
+        template_id: Option<&str>,
+        variables: &HashMap<String, String>,
+    ) -> Result<ClassificationResult> {
+        // 获取模板
+        let template = if let Some(id) = template_id {
+            self.prompt_engine.get_template(id)
+                .ok_or_else(|| anyhow::anyhow!("Template not found: {}", id))?
+        } else {
+            self.prompt_engine.get_default_template()
+        };
+
+        // 渲染 Prompt
+        let (system_prompt, user_prompt) = self
+            .prompt_engine
+            .render_template(template, variables)?;
+
+        // 构建消息
+        use super::client::{Message, MessageRole};
+
+        let messages = vec![
+            Message {
+                role: MessageRole::System,
+                content: system_prompt,
+            },
+            Message {
+                role: MessageRole::User,
+                content: user_prompt,
+            },
+        ];
+
+        // 调用 AI
+        let client = self.client.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        // 释放锁后再调用
+        let client_ref = unsafe { &*(&*client as *const AiClient) };
+
+        let result = client_ref.chat(messages).await?;
+
+        // 解析分类结果
+        self.parse_classification_result(&result.content, template_id)
+    }
+
+    /// 流式分类（实时返回结果）
+    pub async fn classify_stream(
+        &self,
+        template_id: Option<&str>,
+        variables: &HashMap<String, String>,
+        mut callback: impl FnMut(super::client::StreamChunk),
+    ) -> Result<ClassificationResult> {
+        // 获取模板
+        let template = if let Some(id) = template_id {
+            self.prompt_engine.get_template(id)
+                .ok_or_else(|| anyhow::anyhow!("Template not found: {}", id))?
+        } else {
+            self.prompt_engine.get_default_template()
+        };
+
+        // 渲染 Prompt
+        let (system_prompt, user_prompt) = self
+            .prompt_engine
+            .render_template(template, variables)?;
+
+        // 构建消息
+        use super::client::{Message, MessageRole};
+
+        let messages = vec![
+            Message {
+                role: MessageRole::System,
+                content: system_prompt,
+            },
+            Message {
+                role: MessageRole::User,
+                content: user_prompt,
+            },
+        ];
+
+        // 调用 AI 流式接口
+        let client = self.client.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        // 释放锁后再调用
+        let client_ref = unsafe { &*(&*client as *const AiClient) };
+
+        let result = client_ref.chat_stream(messages, callback).await?;
+
+        // 解析分类结果
+        self.parse_classification_result(&result.content, template_id)
+    }
+
+    /// 解析分类结果
+    fn parse_classification_result(
+        &self,
+        content: &str,
+        template_id: Option<&str>,
+    ) -> Result<ClassificationResult> {
+        // 尝试从内容中提取 JSON
+        let json_str = self.extract_json(content)?;
+
+        // 解析 JSON
+        let value: Value = serde_json::from_str(&json_str)
+            .context("Failed to parse classification result as JSON")?;
+
+        // 提取字段
+        let category = value
+            .get("category")
+            .and_then(|v| v.as_str())
+            .unwrap_or("未分类")
+            .to_string();
+
+        let subcategory = value
+            .get("subcategory")
+            .and_then(|v| v.as_str())
+            .map(|s| s.to_string());
+
+        let tags = value
+            .get("tags")
+            .and_then(|v| v.as_array())
+            .map(|arr| {
+                arr.iter()
+                    .filter_map(|v| v.as_str())
+                    .map(|s| s.to_string())
+                    .collect()
+            })
+            .unwrap_or_default();
+
+        let confidence = value
+            .get("confidence")
+            .and_then(|v| v.as_f64())
+            .unwrap_or(0.5);
+
+        let reasoning = value
+            .get("reasoning")
+            .and_then(|v| v.as_str())
+            .map(|s| s.to_string());
+
+        Ok(ClassificationResult {
+            category,
+            subcategory,
+            tags,
+            confidence,
+            reasoning,
+        })
+    }
+
+    /// 从文本中提取 JSON
+    fn extract_json(&self, text: &str) -> Result<String> {
+        // 查找 ```json 代码块
+        if let Some(start) = text.find("```json") {
+            let json_start = start + 7;
+            if let Some(end) = text[json_start..].find("```") {
+                let json_str = text[json_start..json_start + end].trim();
+                return Ok(json_str.to_string());
+            }
+        }
+
+        // 查找 ``` 代码块
+        if let Some(start) = text.find("```") {
+            let json_start = start + 3;
+            if let Some(end) = text[json_start..].find("```") {
+                let json_str = text[json_start..json_start + end].trim();
+                return Ok(json_str.to_string());
+            }
+        }
+
+        // 尝试查找 { ... }
+        if let Some(start) = text.find('{') {
+            if let Some(end) = text.rfind('}') {
+                if end > start {
+                    return Ok(text[start..=end].to_string());
+                }
+            }
+        }
+
+        // 如果都找不到，返回原文本
+        Ok(text.to_string())
+    }
+
+    /// 评估是否需要人工确认
+    pub fn needs_confirmation(&self, result: &ClassificationResult) -> bool {
+        result.confidence < self.config.min_confidence
+    }
+
+    /// 获取可用的模板列表
+    pub fn available_templates(&self) -> Vec<&super::template::Template> {
+        self.prompt_engine.list_templates()
+    }
+
+    /// 获取模板
+    pub fn get_template(&self, id: &str) -> Option<&super::template::Template> {
+        self.prompt_engine.get_template(id)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_json_extraction() {
+        let classifier = Classifier::new(ClassifierConfig::default());
+
+        let text = r#"这是一些前置文本
+```json
+{
+  "category": "代码",
+  "confidence": 0.95
+}
+```
+后置文本"#;
+
+        let json = classifier.extract_json(text).unwrap();
+        assert!(json.contains("category"));
+        assert!(json.contains("代码"));
+    }
+
+    #[test]
+    fn test_classification_parsing() {
+        let classifier = Classifier::new(ClassifierConfig::default());
+
+        let json = r#"{
+  "category": "代码",
+  "subcategory": "Python",
+  "tags": ["编程", "脚本", "自动化"],
+  "confidence": 0.95,
+  "reasoning": "这是一段 Python 代码"
+}"#;
+
+        let result = classifier.parse_classification_result(json, None).unwrap();
+        assert_eq!(result.category, "代码");
+        assert_eq!(result.subcategory, Some("Python".to_string()));
+        assert_eq!(result.tags.len(), 3);
+        assert_eq!(result.confidence, 0.95);
+        assert!(result.reasoning.is_some());
+    }
+
+    #[test]
+    fn test_confidence_check() {
+        let config = ClassifierConfig {
+            provider: AiProvider::Claude,
+            min_confidence: 0.8,
+            auto_apply: false,
+        };
+
+        let classifier = Classifier::new(config);
+
+        let high_conf = ClassificationResult {
+            category: "测试".to_string(),
+            subcategory: None,
+            tags: vec![],
+            confidence: 0.9,
+            reasoning: None,
+        };
+
+        let low_conf = ClassificationResult {
+            category: "测试".to_string(),
+            subcategory: None,
+            tags: vec![],
+            confidence: 0.7,
+            reasoning: None,
+        };
+
+        assert!(!classifier.needs_confirmation(&high_conf));
+        assert!(classifier.needs_confirmation(&low_conf));
+    }
+}

src-tauri/src/ai/client.rs

@@ -0,0 +1,511 @@
+use super::{AiError, AiResult};
+use anyhow::Result;
+use futures_util::StreamExt;
+use reqwest::header::{HeaderMap, HeaderValue, AUTHORIZATION, CONTENT_TYPE};
+use serde::{Deserialize, Serialize};
+use std::time::Duration;
+use tokio::sync::Mutex;
+use std::sync::Arc;
+
+/// AI 提供商类型
+#[derive(Debug, Clone, Copy, PartialEq, Eq)]
+pub enum AiProvider {
+    Claude,
+    OpenAi,
+}
+
+/// Claude API 配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ClaudeConfig {
+    pub api_key: String,
+    #[serde(default = "default_claude_model")]
+    pub model: String,
+    #[serde(default = "default_claude_max_tokens")]
+    pub max_tokens: u32,
+    #[serde(default = "default_claude_temperature")]
+    pub temperature: f32,
+}
+
+fn default_claude_model() -> String {
+    "claude-3-5-sonnet-20241022".to_string()
+}
+
+fn default_claude_max_tokens() -> u32 {
+    4096
+}
+
+fn default_claude_temperature() -> f32 {
+    0.7
+}
+
+/// OpenAI API 配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct OpenAiConfig {
+    pub api_key: String,
+    #[serde(default = "default_openai_model")]
+    pub model: String,
+    #[serde(default = "default_openai_max_tokens")]
+    pub max_tokens: u32,
+    #[serde(default = "default_openai_temperature")]
+    pub temperature: f32,
+    pub base_url: Option<String>,
+}
+
+fn default_openai_model() -> String {
+    "gpt-4o".to_string()
+}
+
+fn default_openai_max_tokens() -> u32 {
+    4096
+}
+
+fn default_openai_temperature() -> f32 {
+    0.7
+}
+
+/// 消息角色
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "lowercase")]
+pub enum MessageRole {
+    System,
+    User,
+    Assistant,
+}
+
+/// 聊天消息
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Message {
+    pub role: MessageRole,
+    pub content: String,
+}
+
+/// 流式响应块
+#[derive(Debug, Clone)]
+pub enum StreamChunk {
+    /// 文本增量
+    Text(String),
+    /// 完成
+    Done,
+    /// 错误
+    Error(String),
+}
+
+/// 限流器
+struct RateLimiter {
+    last_request: Arc<Mutex<std::time::Instant>>,
+    min_interval: Duration,
+}
+
+impl RateLimiter {
+    fn new(requests_per_second: u32) -> Self {
+        Self {
+            last_request: Arc::new(Mutex::new(std::time::Instant::now()
+                .checked_sub(Duration::from_secs(1)).unwrap())),
+            min_interval: Duration::from_secs(1) / requests_per_second.max(1),
+        }
+    }
+
+    async fn acquire(&self) {
+        let mut last = self.last_request.lock().await;
+        let elapsed = last.elapsed();
+        if elapsed < self.min_interval {
+            tokio::time::sleep(self.min_interval - elapsed).await;
+        }
+        *last = std::time::Instant::now();
+    }
+}
+
+/// AI 客户端
+pub struct AiClient {
+    provider: AiProvider,
+    http_client: reqwest::Client,
+    rate_limiter: RateLimiter,
+    claude_config: Option<ClaudeConfig>,
+    openai_config: Option<OpenAiConfig>,
+}
+
+impl AiClient {
+    /// 创建新的 AI 客户端
+    pub fn new(provider: AiProvider) -> Self {
+        let http_client = reqwest::Client::builder()
+            .timeout(Duration::from_secs(120))
+            .build()
+            .expect("Failed to create HTTP client");
+
+        // 限制每秒最多 5 个请求
+        let rate_limiter = RateLimiter::new(5);
+
+        Self {
+            provider,
+            http_client,
+            rate_limiter,
+            claude_config: None,
+            openai_config: None,
+        }
+    }
+
+    /// 设置 Claude 配置
+    pub fn with_claude_config(mut self, config: ClaudeConfig) -> Self {
+        self.claude_config = Some(config);
+        self
+    }
+
+    /// 设置 OpenAI 配置
+    pub fn with_openai_config(mut self, config: OpenAiConfig) -> Self {
+        self.openai_config = Some(config);
+        self
+    }
+
+    /// 发送聊天请求（非流式）
+    pub async fn chat(&self, messages: Vec<Message>) -> Result<AiResult> {
+        self.rate_limiter.acquire().await;
+
+        match self.provider {
+            AiProvider::Claude => self.claude_chat(messages).await,
+            AiProvider::OpenAi => self.openai_chat(messages).await,
+        }
+    }
+
+    /// 发送流式聊天请求
+    pub async fn chat_stream(
+        &self,
+        messages: Vec<Message>,
+        mut callback: impl FnMut(StreamChunk),
+    ) -> Result<AiResult> {
+        self.rate_limiter.acquire().await;
+
+        match self.provider {
+            AiProvider::Claude => self.claude_chat_stream(messages, callback).await,
+            AiProvider::OpenAi => self.openai_chat_stream(messages, callback).await,
+        }
+    }
+
+    // ========== Claude API ==========
+
+    /// Claude 聊天请求
+    async fn claude_chat(&self, messages: Vec<Message>) -> Result<AiResult> {
+        let config = self.claude_config.as_ref()
+            .ok_or_else(|| AiError::ConfigError("Claude 配置未设置".to_string()))?;
+
+        #[derive(Serialize)]
+        struct ClaudeRequest {
+            model: String,
+            messages: Vec<Message>,
+            max_tokens: u32,
+            temperature: f32,
+        }
+
+        #[derive(Deserialize)]
+        struct ClaudeResponse {
+            id: String,
+            content: Vec<ClaudeContent>,
+            model: String,
+            usage: ClaudeUsage,
+        }
+
+        #[derive(Deserialize)]
+        struct ClaudeContent {
+            #[serde(rename = "type")]
+            content_type: String,
+            text: String,
+        }
+
+        #[derive(Deserialize)]
+        struct ClaudeUsage {
+            input_tokens: u32,
+            output_tokens: u32,
+        }
+
+        let request = ClaudeRequest {
+            model: config.model.clone(),
+            messages,
+            max_tokens: config.max_tokens,
+            temperature: config.temperature,
+        };
+
+        let response = self.http_client
+            .post("https://api.anthropic.com/v1/messages")
+            .header("x-api-key", &config.api_key)
+            .header("anthropic-version", "2023-06-01")
+            .header("content-type", "application/json")
+            .json(&request)
+            .send()
+            .await?;
+
+        self.handle_response(response).await
+    }
+
+    /// Claude 流式聊天请求
+    async fn claude_chat_stream(
+        &self,
+        messages: Vec<Message>,
+        mut callback: impl FnMut(StreamChunk),
+    ) -> Result<AiResult> {
+        let config = self.claude_config.as_ref()
+            .ok_or_else(|| AiError::ConfigError("Claude 配置未设置".to_string()))?;
+
+        #[derive(Serialize)]
+        struct ClaudeRequest {
+            model: String,
+            messages: Vec<Message>,
+            max_tokens: u32,
+            temperature: f32,
+            stream: bool,
+        }
+
+        let request = ClaudeRequest {
+            model: config.model.clone(),
+            messages,
+            max_tokens: config.max_tokens,
+            temperature: config.temperature,
+            stream: true,
+        };
+
+        let response = self.http_client
+            .post("https://api.anthropic.com/v1/messages")
+            .header("x-api-key", &config.api_key)
+            .header("anthropic-version", "2023-06-01")
+            .header("content-type", "application/json")
+            .json(&request)
+            .send()
+            .await?;
+
+        if !response.status().is_success() {
+            let error_text = response.text().await?;
+            callback(StreamChunk::Error(error_text.clone()));
+            return Err(AiError::ApiError(error_text));
+        }
+
+        let mut full_content = String::new();
+        let mut stream = response.bytes_stream();
+
+        while let Some(chunk_result) = stream.next().await {
+            let chunk = chunk_result?;
+            let text = String::from_utf8_lossy(&chunk);
+
+            // 处理 SSE 格式
+            for line in text.lines() {
+                if line.starts_with("data: ") {
+                    let data = &line[6..];
+                    if data == "[DONE]" {
+                        callback(StreamChunk::Done);
+                        break;
+                    }
+
+                    if let Ok(event) = serde_json::from_str::<serde_json::Value>(data) {
+                        if let Some(delta) = event.get("delta")
+                            .and_then(|d| d.get("text"))
+                            .and_then(|t| t.as_str())
+                        {
+                            full_content.push_str(delta);
+                            callback(StreamChunk::Text(delta.to_string()));
+                        }
+                    }
+                }
+            }
+        }
+
+        Ok(AiResult {
+            content: full_content,
+            tokens_used: None,
+            model: config.model.clone(),
+            confidence: None,
+        })
+    }
+
+    // ========== OpenAI API ==========
+
+    /// OpenAI 聊天请求
+    async fn openai_chat(&self, messages: Vec<Message>) -> Result<AiResult> {
+        let config = self.openai_config.as_ref()
+            .ok_or_else(|| AiError::ConfigError("OpenAI 配置未设置".to_string()))?;
+
+        let base_url = config.base_url.as_ref()
+            .map(|s| s.as_str())
+            .unwrap_or("https://api.openai.com/v1");
+
+        #[derive(Serialize)]
+        struct OpenAiRequest {
+            model: String,
+            messages: Vec<Message>,
+            max_tokens: u32,
+            temperature: f32,
+        }
+
+        #[derive(Deserialize)]
+        struct OpenAiResponse {
+            id: String,
+            choices: Vec<OpenAiChoice>,
+            usage: OpenAiUsage,
+            model: String,
+        }
+
+        #[derive(Deserialize)]
+        struct OpenAiChoice {
+            message: OpenAiMessage,
+            finish_reason: String,
+        }
+
+        #[derive(Deserialize)]
+        struct OpenAiMessage {
+            role: String,
+            content: String,
+        }
+
+        #[derive(Deserialize)]
+        struct OpenAiUsage {
+            prompt_tokens: u32,
+            completion_tokens: u32,
+            total_tokens: u32,
+        }
+
+        let request = OpenAiRequest {
+            model: config.model.clone(),
+            messages,
+            max_tokens: config.max_tokens,
+            temperature: config.temperature,
+        };
+
+        let response = self.http_client
+            .post(format!("{}/chat/completions", base_url))
+            .header(AUTHORIZATION, format!("Bearer {}", config.api_key))
+            .header(CONTENT_TYPE, "application/json")
+            .json(&request)
+            .send()
+            .await?;
+
+        self.handle_response(response).await
+    }
+
+    /// OpenAI 流式聊天请求
+    async fn openai_chat_stream(
+        &self,
+        messages: Vec<Message>,
+        mut callback: impl FnMut(StreamChunk),
+    ) -> Result<AiResult> {
+        let config = self.openai_config.as_ref()
+            .ok_or_else(|| AiError::ConfigError("OpenAI 配置未设置".to_string()))?;
+
+        let base_url = config.base_url.as_ref()
+            .map(|s| s.as_str())
+            .unwrap_or("https://api.openai.com/v1");
+
+        #[derive(Serialize)]
+        struct OpenAiRequest {
+            model: String,
+            messages: Vec<Message>,
+            max_tokens: u32,
+            temperature: f32,
+            stream: bool,
+        }
+
+        let request = OpenAiRequest {
+            model: config.model.clone(),
+            messages,
+            max_tokens: config.max_tokens,
+            temperature: config.temperature,
+            stream: true,
+        };
+
+        let response = self.http_client
+            .post(format!("{}/chat/completions", base_url))
+            .header(AUTHORIZATION, format!("Bearer {}", config.api_key))
+            .header(CONTENT_TYPE, "application/json")
+            .json(&request)
+            .send()
+            .await?;
+
+        if !response.status().is_success() {
+            let error_text = response.text().await?;
+            callback(StreamChunk::Error(error_text.clone()));
+            return Err(AiError::ApiError(error_text));
+        }
+
+        let mut full_content = String::new();
+        let mut stream = response.bytes_stream();
+
+        while let Some(chunk_result) = stream.next().await {
+            let chunk = chunk_result?;
+            let text = String::from_utf8_lossy(&chunk);
+
+            for line in text.lines() {
+                if line.starts_with("data: ") {
+                    let data = &line[6..];
+                    if data == "[DONE]" {
+                        callback(StreamChunk::Done);
+                        break;
+                    }
+
+                    if let Ok(event) = serde_json::from_str::<serde_json::Value>(data) {
+                        if let Some(delta) = event.get("choices")
+                            .and_then(|c| c.get(0))
+                            .and_then(|c| c.get("delta"))
+                            .and_then(|d| d.get("content"))
+                            .and_then(|t| t.as_str())
+                        {
+                            full_content.push_str(delta);
+                            callback(StreamChunk::Text(delta.to_string()));
+                        }
+                    }
+                }
+            }
+        }
+
+        Ok(AiResult {
+            content: full_content,
+            tokens_used: None,
+            model: config.model.clone(),
+            confidence: None,
+        })
+    }
+
+    /// 处理 HTTP 响应
+    async fn handle_response<T>(&self, response: reqwest::Response) -> Result<T>
+    where
+        T: for<'de> serde::Deserialize<'de>,
+    {
+        let status = response.status();
+
+        if status.is_success() {
+            response.json::<T>().await.map_err(Into::into)
+        } else {
+            let error_text = response.text().await?;
+            Err(if status.as_u16() == 401 {
+                AiError::AuthError(error_text)
+            } else if status.as_u16() == 429 {
+                AiError::RateLimitError
+            } else {
+                AiError::ApiError(error_text)
+            }.into())
+        }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_claude_config_serialization() {
+        let config = ClaudeConfig {
+            api_key: "test-key".to_string(),
+            model: "claude-3-5-sonnet-20241022".to_string(),
+            max_tokens: 4096,
+            temperature: 0.7,
+        };
+
+        let json = serde_json::to_string(&config).unwrap();
+        assert!(json.contains("api_key"));
+    }
+
+    #[test]
+    fn test_message_serialization() {
+        let message = Message {
+            role: MessageRole::User,
+            content: "Hello, AI!".to_string(),
+        };
+
+        let json = serde_json::to_string(&message).unwrap();
+        assert!(json.contains("user"));
+    }
+}

src-tauri/src/ai/mod.rs

@@ -0,0 +1,76 @@
+pub mod client;
+pub mod prompt;
+pub mod classify;
+pub mod template;
+
+pub use client::{AiClient, AiProvider, StreamChunk};
+pub use prompt::PromptEngine;
+pub use classify::Classifier;
+pub use template::{Template, TemplateManager, TemplateVariable};
+
+use anyhow::Result;
+
+/// AI 服务错误类型
+#[derive(Debug, thiserror::Error)]
+pub enum AiError {
+    #[error("API 错误: {0}")]
+    ApiError(String),
+
+    #[error("网络错误: {0}")]
+    NetworkError(String),
+
+    #[error("认证失败: {0}")]
+    AuthError(String),
+
+    #[error("限流: 请稍后再试")]
+    RateLimitError,
+
+    #[error("配置错误: {0}")]
+    ConfigError(String),
+
+    #[error("模板错误: {0}")]
+    TemplateError(String),
+
+    #[error("其他错误: {0}")]
+    Other(String),
+}
+
+impl From<reqwest::Error> for AiError {
+    fn from(err: reqwest::Error) -> Self {
+        if err.is_timeout() {
+            AiError::NetworkError("请求超时".to_string())
+        } else if err.is_connect() {
+            AiError::NetworkError("连接失败".to_string())
+        } else {
+            AiError::NetworkError(err.to_string())
+        }
+    }
+}
+
+/// AI 服务结果
+#[derive(Debug, Clone)]
+pub struct AiResult {
+    /// 生成的文本内容
+    pub content: String,
+    /// 使用的 Token 数量（估算）
+    pub tokens_used: Option<usize>,
+    /// 模型名称
+    pub model: String,
+    /// 置信度评分（0.0 - 1.0）
+    pub confidence: Option<f64>,
+}
+
+/// 分类结果
+#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
+pub struct ClassificationResult {
+    /// 主分类
+    pub category: String,
+    /// 子分类
+    pub subcategory: Option<String>,
+    /// 标签列表
+    pub tags: Vec<String>,
+    /// 置信度评分（0.0 - 1.0）
+    pub confidence: f64,
+    /// AI 提供的推理说明
+    pub reasoning: Option<String>,
+}

src-tauri/src/ai/prompt.rs

@@ -0,0 +1,439 @@
+use super::template::{Template, TemplateVariable};
+use anyhow::{Context, Result};
+use std::collections::HashMap;
+
+/// Prompt 模板引擎
+pub struct PromptEngine {
+    /// 内置模板库
+    builtin_templates: HashMap<String, Template>,
+}
+
+impl PromptEngine {
+    /// 创建新的 Prompt 引擎
+    pub fn new() -> Self {
+        let mut engine = Self {
+            builtin_templates: HashMap::new(),
+        };
+
+        // 初始化内置模板
+        engine.init_builtin_templates();
+
+        engine
+    }
+
+    /// 初始化内置模板
+    fn init_builtin_templates(&mut self) {
+        // 通用分类模板
+        let general_template = Template {
+            id: "builtin_general".to_string(),
+            name: "通用分类".to_string(),
+            description: "适用于大多数场景的内容分类".to_string(),
+            category: "general".to_string(),
+            system_prompt: r#"你是一个专业的内容分类助手。你的任务是根据提供的内容，将其归类到合适的类别中。
+
+请遵循以下规则：
+1. 分析内容的主要主题和目的
+2. 选择最合适的主分类
+3. 如果可能，提供更具体的子分类
+4. 提取 3-5 个相关标签
+5. 给出你的置信度评分（0.0-1.0）
+
+请以 JSON 格式返回结果：
+```json
+{
+  "category": "主分类名称",
+  "subcategory": "子分类名称（可选）",
+  "tags": ["标签1", "标签2", "标签3"],
+  "confidence": 0.95,
+  "reasoning": "分类理由说明"
+}
+```"#
+                .to_string(),
+            user_prompt_template: r#"请对以下内容进行分类：
+
+内容类型：{{content_type}}
+{{#if image_path}}
+包含图片：是
+{{/if}}
+{{#if ocr_text}}
+OCR 识别文本：
+{{ocr_text}}
+{{/if}}
+{{#if content}}
+文本内容：
+{{content}}
+{{/if}}
+
+请分析并返回分类结果。"#.to_string(),
+            variables: vec![
+                TemplateVariable {
+                    name: "content_type".to_string(),
+                    description: "内容类型（text/image/file）".to_string(),
+                    required: true,
+                    default_value: Some("text".to_string()),
+                },
+                TemplateVariable {
+                    name: "content".to_string(),
+                    description: "文本内容".to_string(),
+                    required: false,
+                    default_value: None,
+                },
+                TemplateVariable {
+                    name: "ocr_text".to_string(),
+                    description: "OCR 识别的文本".to_string(),
+                    required: false,
+                    default_value: None,
+                },
+                TemplateVariable {
+                    name: "image_path".to_string(),
+                    description: "图片路径".to_string(),
+                    required: false,
+                    default_value: None,
+                },
+            ],
+            created_at: chrono::Utc::now().to_rfc3339(),
+            updated_at: chrono::Utc::now().to_rfc3339(),
+        };
+
+        self.builtin_templates.insert("general".to_string(), general_template);
+
+        // 代码分类模板
+        let code_template = Template {
+            id: "builtin_code".to_string(),
+            name: "代码片段分类".to_string(),
+            description: "专门用于分类和分析代码片段".to_string(),
+            category: "code".to_string(),
+            system_prompt: r#"你是一个专业的代码分析助手。你的任务是分析提供的代码片段，识别其编程语言、用途和特点。
+
+请关注：
+1. 编程语言和框架
+2. 代码的主要功能
+3. 是否是完整代码还是片段
+4. 代码所属的领域（Web开发、数据处理、算法等）
+
+请以 JSON 格式返回：
+```json
+{
+  "category": "代码",
+  "subcategory": "具体编程语言或框架",
+  "tags": ["语言", "框架", "功能领域"],
+  "confidence": 0.95,
+  "reasoning": "分析说明"
+}
+```"#
+                .to_string(),
+            user_prompt_template: r#"请分析以下代码：
+
+{{content}}
+
+{{#if ocr_text}}
+如果上述代码是从图片中识别的，请使用以下 OCR 结果：
+{{ocr_text}}
+{{/if}}
+
+请返回编程语言、框架和功能分析。"#.to_string(),
+            variables: vec![
+                TemplateVariable {
+                    name: "content".to_string(),
+                    description: "代码内容".to_string(),
+                    required: true,
+                    default_value: None,
+                },
+                TemplateVariable {
+                    name: "ocr_text".to_string(),
+                    description: "OCR 识别的代码文本".to_string(),
+                    required: false,
+                    default_value: None,
+                },
+            ],
+            created_at: chrono::Utc::now().to_rfc3339(),
+            updated_at: chrono::Utc::now().to_rfc3339(),
+        };
+
+        self.builtin_templates.insert("code".to_string(), code_template);
+
+        // 票据/发票分类模板
+        let invoice_template = Template {
+            id: "builtin_invoice".to_string(),
+            name: "票据发票分类".to_string(),
+            description: "用于分类和提取票据、发票信息".to_string(),
+            category: "invoice".to_string(),
+            system_prompt: r#"你是一个专业的票据识别助手。你的任务是识别和分析票据、发票类型，并提取关键信息。
+
+请关注：
+1. 票据类型（发票、收据、订单等）
+2. 金额信息
+3. 商户信息
+4. 日期信息
+5. 票据的用途和性质
+
+请以 JSON 格式返回：
+```json
+{
+  "category": "票据",
+  "subcategory": "具体票据类型",
+  "tags": ["金额范围", "商户类型", "用途"],
+  "confidence": 0.95,
+  "reasoning": "识别说明"
+}
+```"#
+                .to_string(),
+            user_prompt_template: r#"请识别以下票据：
+
+{{#if ocr_text}}
+票据内容：
+{{ocr_text}}
+{{/if}}
+
+{{#if image_path}}
+这是一个包含票据的图片。
+{{/if}}
+
+请返回票据类型和关键信息。"#.to_string(),
+            variables: vec![
+                TemplateVariable {
+                    name: "ocr_text".to_string(),
+                    description: "OCR 识别的票据文本".to_string(),
+                    required: true,
+                    default_value: None,
+                },
+                TemplateVariable {
+                    name: "image_path".to_string(),
+                    description: "票据图片路径".to_string(),
+                    required: false,
+                    default_value: None,
+                },
+            ],
+            created_at: chrono::Utc::now().to_rfc3339(),
+            updated_at: chrono::Utc::now().to_rfc3339(),
+        };
+
+        self.builtin_templates.insert("invoice".to_string(), invoice_template);
+
+        // 对话分类模板
+        let conversation_template = Template {
+            id: "builtin_conversation".to_string(),
+            name: "对话内容分类".to_string(),
+            description: "用于分类聊天记录、对话内容".to_string(),
+            category: "conversation".to_string(),
+            system_prompt: r#"你是一个专业的对话分析助手。你的任务是分析对话内容，识别对话的性质和主题。
+
+请关注：
+1. 对话的性质（工作、休闲、客服、技术支持等）
+2. 主要话题
+3. 参与者角色
+4. 情感倾向（可选）
+
+请以 JSON 格式返回：
+```json
+{
+  "category": "对话",
+  "subcategory": "对话性质",
+  "tags": ["话题1", "话题2", "参与者类型"],
+  "confidence": 0.95,
+  "reasoning": "分析说明"
+}
+```"#
+                .to_string(),
+            user_prompt_template: r#"请分析以下对话：
+
+{{content}}
+
+{{#if ocr_text}}
+如果上述对话是从图片中识别的，请使用以下 OCR 结果：
+{{ocr_text}}
+{{/if}}
+
+请返回对话类型和主题分析。"#.to_string(),
+            variables: vec![
+                TemplateVariable {
+                    name: "content".to_string(),
+                    description: "对话文本内容".to_string(),
+                    required: true,
+                    default_value: None,
+                },
+                TemplateVariable {
+                    name: "ocr_text".to_string(),
+                    description: "OCR 识别的对话文本".to_string(),
+                    required: false,
+                    default_value: None,
+                },
+            ],
+            created_at: chrono::Utc::now().to_rfc3339(),
+            updated_at: chrono::Utc::now().to_rfc3339(),
+        };
+
+        self.builtin_templates.insert("conversation".to_string(), conversation_template);
+    }
+
+    /// 渲染模板
+    pub fn render_template(
+        &self,
+        template: &Template,
+        variables: &HashMap<String, String>,
+    ) -> Result<(String, String)> {
+        // 渲染 system prompt
+        let system_prompt = template.system_prompt.clone();
+
+        // 渲染 user prompt
+        let user_prompt = self.render_user_prompt(&template.user_prompt_template, variables)?;
+
+        Ok((system_prompt, user_prompt))
+    }
+
+    /// 渲染用户提示词模板
+    fn render_user_prompt(
+        &self,
+        template: &str,
+        variables: &HashMap<String, String>,
+    ) -> Result<String> {
+        let mut result = template.to_string();
+
+        // 处理条件块 {{#if var}}...{{/if}}
+        let mut replaced = String::new();
+        let mut chars = template.chars().peekable();
+        let mut pos = 0;
+
+        while pos < template.len() {
+            // 查找 {{#if
+            if let Some(start) = template[pos..].find("{{#if ") {
+                let block_start = pos + start;
+                let var_start = block_start + 6; // "{{#if ".len()
+
+                // 查找闭合的 }}
+                if let Some(var_end) = template[var_start..].find("}}") {
+                    let var_name = &template[var_start..var_start + var_end];
+                    let content_start = var_start + var_end + 2;
+
+                    // 查找 {{/if}}
+                    if let Some(end_marker) = template[content_start..].find("{{/if}}") {
+                        let content_end = content_start + end_marker;
+                        let block_content = &template[content_start..content_end];
+
+                        // 如果变量存在且有值，则包含内容
+                        if let Some(value) = variables.get(var_name) {
+                            if !value.is_empty() {
+                                replaced.push_str(&template[pos..block_start]);
+                                replaced.push_str(block_content);
+                            }
+                        }
+
+                        pos = content_end + 7; // "{{/if}}".len()
+                        continue;
+                    }
+                }
+            }
+
+            // 替换简单变量 {{var}}
+            if let Some(start) = template[pos..].find('{{') {
+                replaced.push_str(&template[pos..pos + start]);
+                let var_start = pos + start + 2;
+
+                if let Some(end) = template[var_start..].find("}}") {
+                    let var_name = &template[var_start..var_start + end];
+                    let trimmed = var_name.trim();
+
+                    if let Some(value) = variables.get(trimmed) {
+                        replaced.push_str(value);
+                    } else if let Some(template_var) = self
+                        .builtin_templates
+                        .values()
+                        .flat_map(|t| t.variables.iter())
+                        .find(|v| v.name == trimmed)
+                    {
+                        // 使用默认值
+                        if let Some(default) = &template_var.default_value {
+                            replaced.push_str(default);
+                        }
+                    }
+
+                    pos = var_start + end + 2;
+                    continue;
+                }
+            }
+
+            if pos < template.len() {
+                replaced.push(template.chars().nth(pos).unwrap());
+                pos += 1;
+            } else {
+                break;
+            }
+        }
+
+        // 第二次遍历：替换剩余的简单变量
+        result = replaced.clone();
+        for (key, value) in variables.iter() {
+            let placeholder = format!("{{{{{}}}}}", key);
+            result = result.replace(&placeholder, value);
+        }
+
+        Ok(result)
+    }
+
+    /// 获取内置模板
+    pub fn get_template(&self, id: &str) -> Option<&Template> {
+        self.builtin_templates.get(id)
+    }
+
+    /// 列出所有内置模板
+    pub fn list_templates(&self) -> Vec<&Template> {
+        self.builtin_templates.values().collect()
+    }
+
+    /// 获取默认模板
+    pub fn get_default_template(&self) -> &Template {
+        self.builtin_templates.get("general").unwrap()
+    }
+}
+
+impl Default for PromptEngine {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_prompt_engine_creation() {
+        let engine = PromptEngine::new();
+        assert!(engine.get_template("general").is_some());
+        assert!(engine.get_template("code").is_some());
+    }
+
+    #[test]
+    fn test_template_rendering() {
+        let engine = PromptEngine::new();
+        let template = engine.get_default_template();
+
+        let mut vars = HashMap::new();
+        vars.insert("content_type".to_string(), "text".to_string());
+        vars.insert("content".to_string(), "Hello, world!".to_string());
+
+        let (system, user) = engine.render_template(template, &vars).unwrap();
+        assert!(!system.is_empty());
+        assert!(!user.is_empty());
+        assert!(user.contains("Hello, world!"));
+    }
+
+    #[test]
+    fn test_conditional_blocks() {
+        let engine = PromptEngine::new();
+        let template = engine.get_default_template();
+
+        let mut vars = HashMap::new();
+        vars.insert("content_type".to_string(), "text".to_string());
+
+        // 没有 ocr_text，条件块应该被移除
+        let (system, user) = engine.render_template(template, &vars).unwrap();
+        assert!(!user.contains("OCR 识别文本"));
+
+        // 有 ocr_text，条件块应该保留
+        vars.insert("ocr_text".to_string(), "Sample OCR text".to_string());
+        let (system, user) = engine.render_template(template, &vars).unwrap();
+        assert!(user.contains("OCR 识别文本"));
+        assert!(user.contains("Sample OCR text"));
+    }
+}

src-tauri/src/ai/template.rs

@@ -0,0 +1,343 @@
+use anyhow::{Context, Result};
+use chrono::{DateTime, Utc};
+use serde::{Deserialize, Serialize};
+use std::collections::HashMap;
+use std::path::{Path, PathBuf};
+use std::sync::Mutex;
+
+/// 模板变量
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TemplateVariable {
+    /// 变量名
+    pub name: String,
+    /// 变量描述
+    pub description: String,
+    /// 是否必需
+    pub required: bool,
+    /// 默认值
+    pub default_value: Option<String>,
+}
+
+/// Prompt 模板
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Template {
+    /// 模板 ID
+    pub id: String,
+    /// 模板名称
+    pub name: String,
+    /// 模板描述
+    pub description: String,
+    /// 模板分类
+    pub category: String,
+    /// 系统 Prompt
+    pub system_prompt: String,
+    /// 用户 Prompt 模板
+    pub user_prompt_template: String,
+    /// 模板变量列表
+    pub variables: Vec<TemplateVariable>,
+    /// 创建时间
+    pub created_at: String,
+    /// 更新时间
+    pub updated_at: String,
+}
+
+/// 模板管理器
+pub struct TemplateManager {
+    /// 自定义模板存储路径
+    templates_dir: PathBuf,
+    /// 模板缓存
+    templates: Mutex<HashMap<String, Template>>,
+}
+
+impl TemplateManager {
+    /// 创建新的模板管理器
+    pub fn new(templates_dir: PathBuf) -> Result<Self> {
+        // 确保模板目录存在
+        std::fs::create_dir_all(&templates_dir)
+            .context("Failed to create templates directory")?;
+
+        let manager = Self {
+            templates_dir,
+            templates: Mutex::new(HashMap::new()),
+        };
+
+        // 加载所有模板
+        manager.load_templates()?;
+
+        Ok(manager)
+    }
+
+    /// 加载所有模板
+    fn load_templates(&self) -> Result<()> {
+        let mut templates = self.templates.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        templates.clear();
+
+        // 读取目录中的所有 JSON 文件
+        let entries = std::fs::read_dir(&self.templates_dir)
+            .context("Failed to read templates directory")?;
+
+        for entry in entries {
+            let entry = entry.context("Failed to read directory entry")?;
+            let path = entry.path();
+
+            if path.extension().and_then(|s| s.to_str()) == Some("json") {
+                // 跳过备份文件
+                if path.file_name()
+                    .and_then(|s| s.to_str())
+                    .map(|s| s.starts_with('.'))
+                    .unwrap_or(false)
+                {
+                    continue;
+                }
+
+                // 读取模板文件
+                let content = std::fs::read_to_string(&path)
+                    .context("Failed to read template file")?;
+
+                // 解析模板
+                let template: Template = serde_json::from_str(&content)
+                    .context("Failed to parse template")?;
+
+                templates.insert(template.id.clone(), template);
+            }
+        }
+
+        log::info!("Loaded {} templates", templates.len());
+        Ok(())
+    }
+
+    /// 保存模板
+    fn save_template(&self, template: &Template) -> Result<()> {
+        let file_path = self.templates_dir.join(format!("{}.json", template.id));
+
+        let content = serde_json::to_string_pretty(template)
+            .context("Failed to serialize template")?;
+
+        std::fs::write(&file_path, content)
+            .context("Failed to write template file")?;
+
+        Ok(())
+    }
+
+    /// 添加或更新模板
+    pub fn upsert_template(&self, template: Template) -> Result<()> {
+        // 验证模板
+        self.validate_template(&template)?;
+
+        // 保存到文件
+        self.save_template(&template)?;
+
+        // 更新缓存
+        let mut templates = self.templates.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        templates.insert(template.id.clone(), template);
+
+        Ok(())
+    }
+
+    /// 获取模板
+    pub fn get_template(&self, id: &str) -> Option<Template> {
+        let templates = self.templates.lock()
+            .ok()?;
+        templates.get(id).cloned()
+    }
+
+    /// 列出所有模板
+    pub fn list_templates(&self) -> Result<Vec<Template>> {
+        let templates = self.templates.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let mut list: Vec<_> = templates.values().cloned().collect();
+        list.sort_by(|a, b| a.name.cmp(&b.name));
+
+        Ok(list)
+    }
+
+    /// 按分类列出模板
+    pub fn list_templates_by_category(&self, category: &str) -> Result<Vec<Template>> {
+        let templates = self.templates.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let mut list: Vec<_> = templates
+            .values()
+            .filter(|t| t.category == category)
+            .cloned()
+            .collect();
+        list.sort_by(|a, b| a.name.cmp(&b.name));
+
+        Ok(list)
+    }
+
+    /// 删除模板
+    pub fn delete_template(&self, id: &str) -> Result<bool> {
+        // 删除文件
+        let file_path = self.templates_dir.join(format!("{}.json", id));
+
+        let mut deleted = false;
+        if file_path.exists() {
+            std::fs::remove_file(&file_path)
+                .context("Failed to delete template file")?;
+            deleted = true;
+        }
+
+        // 从缓存中移除
+        let mut templates = self.templates.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        Ok(templates.remove(id).is_some() || deleted)
+    }
+
+    /// 导入模板
+    pub fn import_template(&self, json_data: &str) -> Result<Template> {
+        let template: Template = serde_json::from_str(json_data)
+            .context("Failed to parse template JSON")?;
+
+        self.upsert_template(template.clone())?;
+
+        Ok(template)
+    }
+
+    /// 导出模板
+    pub fn export_template(&self, id: &str) -> Result<String> {
+        let template = self.get_template(id)
+            .ok_or_else(|| anyhow::anyhow!("Template not found: {}", id))?;
+
+        serde_json::to_string_pretty(&template)
+            .context("Failed to serialize template")
+    }
+
+    /// 验证模板
+    fn validate_template(&self, template: &Template) -> Result<()> {
+        if template.id.is_empty() {
+            return Err(anyhow::anyhow!("Template ID cannot be empty"));
+        }
+
+        if template.name.is_empty() {
+            return Err(anyhow::anyhow!("Template name cannot be empty"));
+        }
+
+        if template.system_prompt.is_empty() {
+            return Err(anyhow::anyhow!("System prompt cannot be empty"));
+        }
+
+        if template.user_prompt_template.is_empty() {
+            return Err(anyhow::anyhow!("User prompt template cannot be empty"));
+        }
+
+        // 验证变量名称格式
+        for var in &template.variables {
+            if var.name.is_empty() {
+                return Err(anyhow::anyhow!("Variable name cannot be empty"));
+            }
+
+            // 变量名只能包含字母、数字和下划线
+            if !var.name.chars().all(|c| c.is_alphanumeric() || c == '_') {
+                return Err(anyhow::anyhow!(
+                    "Invalid variable name '{}': only alphanumeric and underscore allowed",
+                    var.name
+                ));
+            }
+        }
+
+        Ok(())
+    }
+
+    /// 测试模板渲染
+    pub fn test_template(
+        &self,
+        template_id: &str,
+        variables: &HashMap<String, String>,
+    ) -> Result<(String, String)> {
+        let template = self.get_template(template_id)
+            .ok_or_else(|| anyhow::anyhow!("Template not found: {}", template_id))?;
+
+        // 渲染系统 Prompt
+        let system_prompt = template.system_prompt.clone();
+
+        // 渲染用户 Prompt
+        let user_prompt = self.render_user_prompt(&template.user_prompt_template, variables)?;
+
+        Ok((system_prompt, user_prompt))
+    }
+
+    /// 渲染用户 Prompt
+    fn render_user_prompt(
+        &self,
+        template: &str,
+        variables: &HashMap<String, String>,
+    ) -> Result<String> {
+        let mut result = template.to_string();
+
+        // 简单变量替换
+        for (key, value) in variables.iter() {
+            let placeholder = format!("{{{{{}}}}}", key);
+            result = result.replace(&placeholder, value);
+        }
+
+        Ok(result)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_template_serialization() {
+        let template = Template {
+            id: "test".to_string(),
+            name: "Test Template".to_string(),
+            description: "A test template".to_string(),
+            category: "test".to_string(),
+            system_prompt: "You are a test assistant.".to_string(),
+            user_prompt_template: "Hello {{name}}!".to_string(),
+            variables: vec![],
+            created_at: Utc::now().to_rfc3339(),
+            updated_at: Utc::now().to_rfc3339(),
+        };
+
+        let json = serde_json::to_string(&template).unwrap();
+        assert!(json.contains("test"));
+
+        let parsed: Template = serde_json::from_str(&json).unwrap();
+        assert_eq!(parsed.id, "test");
+    }
+
+    #[test]
+    fn test_template_validation() {
+        let manager = TemplateManager::new(
+            std::env::temp_dir().join("test_templates")
+        ).unwrap();
+
+        let valid_template = Template {
+            id: "valid".to_string(),
+            name: "Valid Template".to_string(),
+            description: "A valid template".to_string(),
+            category: "test".to_string(),
+            system_prompt: "System prompt".to_string(),
+            user_prompt_template: "User prompt".to_string(),
+            variables: vec![],
+            created_at: Utc::now().to_rfc3339(),
+            updated_at: Utc::now().to_rfc3339(),
+        };
+
+        assert!(manager.validate_template(&valid_template).is_ok());
+
+        let invalid_template = Template {
+            id: "".to_string(),
+            name: "Invalid Template".to_string(),
+            description: "An invalid template".to_string(),
+            category: "test".to_string(),
+            system_prompt: "System prompt".to_string(),
+            user_prompt_template: "User prompt".to_string(),
+            variables: vec![],
+            created_at: Utc::now().to_rfc3339(),
+            updated_at: Utc::now().to_rfc3339(),
+        };
+
+        assert!(manager.validate_template(&invalid_template).is_err());
+    }
+}

src-tauri/src/config.rs

@@ -0,0 +1,205 @@
+use anyhow::{Context, Result};
+use serde::{Deserialize, Serialize};
+use std::fs;
+use std::path::{Path, PathBuf};
+
+/// 图床配置类型
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ImageHostConfig {
+    GitHub {
+        token: String,
+        owner: String,
+        repo: String,
+        path: String,
+        branch: Option<String>,
+    },
+    Imgur {
+        client_id: String,
+    },
+    Custom {
+        url: String,
+        headers: Option<Vec<HeaderItem>>,
+        form_field: Option<String>,
+    },
+}
+
+/// HTTP 头部项
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct HeaderItem {
+    pub name: String,
+    pub value: String,
+}
+
+/// 应用配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct AppConfig {
+    /// 默认图床配置
+    pub default_image_host: Option<ImageHostConfig>,
+    /// 可用的图床配置列表
+    pub image_hosts: Vec<ImageHostConfig>,
+    /// 上传重试次数
+    pub upload_retry_count: u32,
+    /// 上传超时时间（秒）
+    pub upload_timeout_seconds: u64,
+    /// 是否自动复制上传后的链接
+    pub auto_copy_link: bool,
+    /// 保留的截图数量
+    pub keep_screenshots_count: usize,
+    /// 数据库路径
+    pub database_path: Option<PathBuf>,
+    /// OCR 配置
+    pub ocr_config: Option<OcrAppConfig>,
+}
+
+/// OCR 应用配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct OcrAppConfig {
+    /// 默认 OCR 引擎
+    pub default_engine: String,
+    /// 是否自动复制 OCR 结果
+    pub auto_copy_result: bool,
+    /// OCR 结果保留天数
+    pub keep_results_days: u32,
+}
+
+impl Default for AppConfig {
+    fn default() -> Self {
+        Self {
+            default_image_host: None,
+            image_hosts: Vec::new(),
+            upload_retry_count: 3,
+            upload_timeout_seconds: 30,
+            auto_copy_link: true,
+            keep_screenshots_count: 50,
+            database_path: None,
+            ocr_config: Some(OcrAppConfig {
+                default_engine: "baidu".to_string(),
+                auto_copy_result: false,
+                keep_results_days: 30,
+            }),
+        }
+    }
+}
+
+/// 配置管理器
+pub struct ConfigManager {
+    config_dir: PathBuf,
+    config_file: PathBuf,
+}
+
+impl ConfigManager {
+    /// 创建新的配置管理器
+    pub fn new() -> Result<Self> {
+        let config_dir = Self::get_config_dir()?;
+        let config_file = config_dir.join("config.json");
+
+        // 确保配置目录存在
+        fs::create_dir_all(&config_dir)
+            .context("Failed to create config directory")?;
+
+        Ok(Self {
+            config_dir,
+            config_file,
+        })
+    }
+
+    /// 获取配置目录
+    fn get_config_dir() -> Result<PathBuf> {
+        let config_dir = if cfg!(target_os = "macos") {
+            // macOS: ~/Library/Application Support/CutThenThink
+            dirs::config_dir()
+                .map(|p| p.join("CutThenThink"))
+        } else if cfg!(target_os = "windows") {
+            // Windows: %APPDATA%/CutThenThink
+            dirs::config_dir()
+                .map(|p| p.join("CutThenThink"))
+        } else {
+            // Linux: ~/.config/CutThenThink
+            dirs::home_dir()
+                .map(|p| p.join(".config").join("CutThenThink"))
+        };
+
+        config_dir.context("Failed to determine config directory")
+    }
+
+    /// 加载配置
+    pub fn load(&self) -> Result<AppConfig> {
+        if !self.config_file.exists() {
+            // 如果配置文件不存在，创建默认配置
+            let default_config = AppConfig::default();
+            self.save(&default_config)?;
+            return Ok(default_config);
+        }
+
+        let content = fs::read_to_string(&self.config_file)
+            .context("Failed to read config file")?;
+
+        let config: AppConfig = serde_json::from_str(&content)
+            .context("Failed to parse config file")?;
+
+        Ok(config)
+    }
+
+    /// 保存配置
+    pub fn save(&self, config: &AppConfig) -> Result<()> {
+        let content = serde_json::to_string_pretty(config)
+            .context("Failed to serialize config")?;
+
+        fs::write(&self.config_file, content)
+            .context("Failed to write config file")?;
+
+        Ok(())
+    }
+
+    /// 获取配置文件路径
+    pub fn config_file_path(&self) -> &Path {
+        &self.config_file
+    }
+
+    /// 获取数据目录
+    pub fn data_dir(&self) -> PathBuf {
+        self.config_dir.join("data")
+    }
+
+    /// 获取数据库路径
+    pub fn database_path(&self) -> PathBuf {
+        self.data_dir().join("cutthink.db")
+    }
+
+    /// 确保数据目录存在
+    pub fn ensure_data_dir(&self) -> Result<()> {
+        let data_dir = self.data_dir();
+        fs::create_dir_all(&data_dir)
+            .context("Failed to create data directory")?;
+        Ok(())
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_config_serialization() {
+        let config = AppConfig::default();
+        let json = serde_json::to_string(&config).unwrap();
+        println!("{}", json);
+        assert!(json.contains("upload_retry_count"));
+    }
+
+    #[test]
+    fn test_image_host_config() {
+        let github_config = ImageHostConfig::GitHub {
+            token: "test_token".to_string(),
+            owner: "test_owner".to_string(),
+            repo: "test_repo".to_string(),
+            path: "screenshots".to_string(),
+            branch: Some("main".to_string()),
+        };
+
+        let json = serde_json::to_string(&github_config).unwrap();
+        println!("{}", json);
+        assert!(json.contains("github"));
+    }
+}

src-tauri/src/database.rs

@@ -0,0 +1,749 @@
+use anyhow::{Context, Result};
+use chrono::{DateTime, Utc};
+use rusqlite::{params, Connection};
+use serde::{Deserialize, Serialize};
+use std::path::{Path, PathBuf};
+use std::sync::Mutex;
+use uuid::Uuid;
+
+/// 数据库记录
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Record {
+    pub id: String,
+    pub record_type: RecordType,
+    pub content: String,
+    pub file_path: Option<String>,
+    pub thumbnail: Option<String>,
+    pub metadata: Option<String>,
+    pub created_at: String,
+    pub updated_at: String,
+}
+
+/// 记录类型
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum RecordType {
+    Image,
+    Text,
+    File,
+}
+
+/// 设置项
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Setting {
+    pub key: String,
+    pub value: String,
+    pub updated_at: String,
+}
+
+/// 分类结果
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Classification {
+    pub id: String,
+    pub record_id: String,
+    pub category: String,
+    pub subcategory: Option<String>,
+    pub tags: String, // JSON 数组
+    pub confidence: f64,
+    pub reasoning: Option<String>,
+    pub template_id: Option<String>,
+    pub confirmed: bool,
+    pub created_at: String,
+}
+
+/// 分类历史
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ClassificationHistory {
+    pub id: String,
+    pub record_id: String,
+    pub category: String,
+    pub subcategory: Option<String>,
+    pub confidence: f64,
+    pub created_at: String,
+}
+
+/// 数据库管理器
+pub struct Database {
+    conn: Mutex<Connection>,
+}
+
+impl Database {
+    /// 打开数据库连接
+    pub fn open(db_path: &Path) -> Result<Self> {
+        // 确保父目录存在
+        if let Some(parent) = db_path.parent() {
+            std::fs::create_dir_all(parent)
+                .context("Failed to create database directory")?;
+        }
+
+        let conn = Connection::open(db_path)
+            .context("Failed to open database")?;
+
+        // 启用外键约束
+        conn.execute("PRAGMA foreign_keys = ON", [])
+            .context("Failed to enable foreign keys")?;
+
+        let db = Self {
+            conn: Mutex::new(conn),
+        };
+
+        // 初始化数据库表
+        db.init_tables()?;
+
+        Ok(db)
+    }
+
+    /// 初始化数据库表
+    fn init_tables(&self) -> Result<()> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        // 创建 records 表
+        conn.execute(
+            "CREATE TABLE IF NOT EXISTS records (
+                id TEXT PRIMARY KEY,
+                record_type TEXT NOT NULL,
+                content TEXT NOT NULL,
+                file_path TEXT,
+                thumbnail TEXT,
+                metadata TEXT,
+                created_at TEXT NOT NULL,
+                updated_at TEXT NOT NULL
+            )",
+            [],
+        ).context("Failed to create records table")?;
+
+        // 创建 settings 表
+        conn.execute(
+            "CREATE TABLE IF NOT EXISTS settings (
+                key TEXT PRIMARY KEY,
+                value TEXT NOT NULL,
+                updated_at TEXT NOT NULL
+            )",
+            [],
+        ).context("Failed to create settings table")?;
+
+        // 创建 classifications 表
+        conn.execute(
+            "CREATE TABLE IF NOT EXISTS classifications (
+                id TEXT PRIMARY KEY,
+                record_id TEXT NOT NULL,
+                category TEXT NOT NULL,
+                subcategory TEXT,
+                tags TEXT NOT NULL,
+                confidence REAL NOT NULL,
+                reasoning TEXT,
+                template_id TEXT,
+                confirmed BOOLEAN NOT NULL DEFAULT 0,
+                created_at TEXT NOT NULL,
+                FOREIGN KEY (record_id) REFERENCES records(id) ON DELETE CASCADE
+            )",
+            [],
+        ).context("Failed to create classifications table")?;
+
+        // 创建 classification_history 表
+        conn.execute(
+            "CREATE TABLE IF NOT EXISTS classification_history (
+                id TEXT PRIMARY KEY,
+                record_id TEXT NOT NULL,
+                category TEXT NOT NULL,
+                subcategory TEXT,
+                confidence REAL NOT NULL,
+                created_at TEXT NOT NULL,
+                FOREIGN KEY (record_id) REFERENCES records(id) ON DELETE CASCADE
+            )",
+            [],
+        ).context("Failed to create classification_history table")?;
+
+        // 创建索引
+        conn.execute(
+            "CREATE INDEX IF NOT EXISTS idx_records_created_at
+             ON records(created_at DESC)",
+            [],
+        ).context("Failed to create index on records.created_at")?;
+
+        conn.execute(
+            "CREATE INDEX IF NOT EXISTS idx_records_type
+             ON records(record_type)",
+            [],
+        ).context("Failed to create index on records.record_type")?;
+
+        conn.execute(
+            "CREATE INDEX IF NOT EXISTS idx_classifications_record_id
+             ON classifications(record_id)",
+            [],
+        ).context("Failed to create index on classifications.record_id")?;
+
+        conn.execute(
+            "CREATE INDEX IF NOT EXISTS idx_classifications_category
+             ON classifications(category)",
+            [],
+        ).context("Failed to create index on classifications.category")?;
+
+        conn.execute(
+            "CREATE INDEX IF NOT EXISTS idx_classification_history_record_id
+             ON classification_history(record_id)",
+            [],
+        ).context("Failed to create index on classification_history.record_id")?;
+
+        Ok(())
+    }
+
+    /// 插入记录
+    pub fn insert_record(
+        &self,
+        record_type: RecordType,
+        content: &str,
+        file_path: Option<&str>,
+        thumbnail: Option<&str>,
+        metadata: Option<&str>,
+    ) -> Result<Record> {
+        let id = Uuid::new_v4().to_string();
+        let now = Utc::now().to_rfc3339();
+        let record_type_str = serde_json::to_string(&record_type)?;
+
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        conn.execute(
+            "INSERT INTO records (id, record_type, content, file_path, thumbnail, metadata, created_at, updated_at)
+             VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8)",
+            params![
+                &id,
+                &record_type_str,
+                content,
+                file_path,
+                thumbnail,
+                metadata,
+                &now,
+                &now,
+            ],
+        ).context("Failed to insert record")?;
+
+        Ok(Record {
+            id,
+            record_type,
+            content: content.to_string(),
+            file_path: file_path.map(|s| s.to_string()),
+            thumbnail: thumbnail.map(|s| s.to_string()),
+            metadata: metadata.map(|s| s.to_string()),
+            created_at: now.clone(),
+            updated_at: now,
+        })
+    }
+
+    /// 根据 ID 获取记录
+    pub fn get_record(&self, id: &str) -> Result<Option<Record>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let mut stmt = conn.prepare(
+            "SELECT id, record_type, content, file_path, thumbnail, metadata, created_at, updated_at
+             FROM records WHERE id = ?1"
+        ).context("Failed to prepare statement")?;
+
+        let mut records = stmt.query_map(params![id], |row| {
+            let record_type_str: String = row.get(1)?;
+            let record_type: RecordType = serde_json::from_str(&record_type_str)
+                .unwrap_or(RecordType::Text);
+
+            Ok(Record {
+                id: row.get(0)?,
+                record_type,
+                content: row.get(2)?,
+                file_path: row.get(3)?,
+                thumbnail: row.get(4)?,
+                metadata: row.get(5)?,
+                created_at: row.get(6)?,
+                updated_at: row.get(7)?,
+            })
+        }).context("Failed to query records")?;
+
+        records.next()
+            .transpose()
+            .context("Failed to parse record")
+    }
+
+    /// 获取所有记录
+    pub fn list_records(&self, limit: Option<usize>, offset: Option<usize>) -> Result<Vec<Record>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let limit = limit.unwrap_or(100);
+        let offset = offset.unwrap_or(0);
+
+        let mut stmt = conn.prepare(
+            "SELECT id, record_type, content, file_path, thumbnail, metadata, created_at, updated_at
+             FROM records
+             ORDER BY created_at DESC
+             LIMIT ?1 OFFSET ?2"
+        ).context("Failed to prepare statement")?;
+
+        let records = stmt.query_map(params![limit, offset], |row| {
+            let record_type_str: String = row.get(1)?;
+            let record_type: RecordType = serde_json::from_str(&record_type_str)
+                .unwrap_or(RecordType::Text);
+
+            Ok(Record {
+                id: row.get(0)?,
+                record_type,
+                content: row.get(2)?,
+                file_path: row.get(3)?,
+                thumbnail: row.get(4)?,
+                metadata: row.get(5)?,
+                created_at: row.get(6)?,
+                updated_at: row.get(7)?,
+            })
+        }).context("Failed to query records")?
+            .collect::<std::result::Result<Vec<_>, _>>()
+            .context("Failed to parse records")?;
+
+        Ok(records)
+    }
+
+    /// 根据类型获取记录
+    pub fn list_records_by_type(
+        &self,
+        record_type: RecordType,
+        limit: Option<usize>,
+    ) -> Result<Vec<Record>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let limit = limit.unwrap_or(100);
+        let record_type_str = serde_json::to_string(&record_type)?;
+
+        let mut stmt = conn.prepare(
+            "SELECT id, record_type, content, file_path, thumbnail, metadata, created_at, updated_at
+             FROM records
+             WHERE record_type = ?1
+             ORDER BY created_at DESC
+             LIMIT ?2"
+        ).context("Failed to prepare statement")?;
+
+        let records = stmt.query_map(params![record_type_str, limit], |row| {
+            let record_type_str: String = row.get(1)?;
+            let record_type: RecordType = serde_json::from_str(&record_type_str)
+                .unwrap_or(RecordType::Text);
+
+            Ok(Record {
+                id: row.get(0)?,
+                record_type,
+                content: row.get(2)?,
+                file_path: row.get(3)?,
+                thumbnail: row.get(4)?,
+                metadata: row.get(5)?,
+                created_at: row.get(6)?,
+                updated_at: row.get(7)?,
+            })
+        }).context("Failed to query records")?
+            .collect::<std::result::Result<Vec<_>, _>>()
+            .context("Failed to parse records")?;
+
+        Ok(records)
+    }
+
+    /// 更新记录
+    pub fn update_record(
+        &self,
+        id: &str,
+        content: Option<&str>,
+        file_path: Option<&str>,
+        thumbnail: Option<&str>,
+        metadata: Option<&str>,
+    ) -> Result<Option<Record>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        // 首先获取现有记录
+        let existing = self.get_record(id)?;
+
+        if existing.is_none() {
+            return Ok(None);
+        }
+
+        let now = Utc::now().to_rfc3339();
+
+        conn.execute(
+            "UPDATE records
+             SET content = COALESCE(?1, content),
+                 file_path = COALESCE(?2, file_path),
+                 thumbnail = COALESCE(?3, thumbnail),
+                 metadata = COALESCE(?4, metadata),
+                 updated_at = ?5
+             WHERE id = ?6",
+            params![content, file_path, thumbnail, metadata, &now, id],
+        ).context("Failed to update record")?;
+
+        self.get_record(id).transpose()
+    }
+
+    /// 删除记录
+    pub fn delete_record(&self, id: &str) -> Result<bool> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let affected = conn.execute("DELETE FROM records WHERE id = ?1", params![id])
+            .context("Failed to delete record")?;
+
+        Ok(affected > 0)
+    }
+
+    /// 清空所有记录
+    pub fn clear_records(&self) -> Result<usize> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let affected = conn.execute("DELETE FROM records", [])
+            .context("Failed to clear records")?;
+
+        Ok(affected)
+    }
+
+    /// 获取记录总数
+    pub fn get_records_count(&self) -> Result<usize> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let count: i64 = conn.query_row("SELECT COUNT(*) FROM records", [], |row| row.get(0))
+            .context("Failed to count records")?;
+
+        Ok(count as usize)
+    }
+
+    /// 设置配置
+    pub fn set_setting(&self, key: &str, value: &str) -> Result<()> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let now = Utc::now().to_rfc3339();
+
+        conn.execute(
+            "INSERT OR REPLACE INTO settings (key, value, updated_at) VALUES (?1, ?2, ?3)",
+            params![key, value, &now],
+        ).context("Failed to set setting")?;
+
+        Ok(())
+    }
+
+    /// 获取配置
+    pub fn get_setting(&self, key: &str) -> Result<Option<String>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let value = conn
+            .query_row("SELECT value FROM settings WHERE key = ?1", params![key], |row| {
+                row.get(0)
+            })
+            .optional()
+            .context("Failed to get setting")?;
+
+        Ok(value)
+    }
+
+    /// 删除配置
+    pub fn delete_setting(&self, key: &str) -> Result<bool> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let affected = conn.execute("DELETE FROM settings WHERE key = ?1", params![key])
+            .context("Failed to delete setting")?;
+
+        Ok(affected > 0)
+    }
+
+    /// 获取所有配置
+    pub fn list_settings(&self) -> Result<Vec<Setting>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let mut stmt = conn.prepare(
+            "SELECT key, value, updated_at FROM settings ORDER BY key"
+        ).context("Failed to prepare statement")?;
+
+        let settings = stmt.query_map([], |row| {
+            Ok(Setting {
+                key: row.get(0)?,
+                value: row.get(1)?,
+                updated_at: row.get(2)?,
+            })
+        }).context("Failed to query settings")?
+            .collect::<std::result::Result<Vec<_>, _>>()
+            .context("Failed to parse settings")?;
+
+        Ok(settings)
+    }
+
+    // ============= 分类相关方法 =============
+
+    /// 保存分类结果
+    pub fn save_classification(
+        &self,
+        record_id: &str,
+        category: &str,
+        subcategory: Option<&str>,
+        tags: &[String],
+        confidence: f64,
+        reasoning: Option<&str>,
+        template_id: Option<&str>,
+    ) -> Result<Classification> {
+        let id = Uuid::new_v4().to_string();
+        let now = Utc::now().to_rfc3339();
+        let tags_json = serde_json::to_string(tags)?;
+
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        conn.execute(
+            "INSERT INTO classifications (id, record_id, category, subcategory, tags, confidence, reasoning, template_id, confirmed, created_at)
+             VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8, ?9, ?10)",
+            params![
+                &id,
+                record_id,
+                category,
+                subcategory,
+                &tags_json,
+                confidence,
+                reasoning,
+                template_id,
+                0, // confirmed = false
+                &now,
+            ],
+        ).context("Failed to insert classification")?;
+
+        // 同时添加到历史记录
+        self.add_classification_history(record_id, category, subcategory, confidence)?;
+
+        Ok(Classification {
+            id,
+            record_id: record_id.to_string(),
+            category: category.to_string(),
+            subcategory: subcategory.map(|s| s.to_string()),
+            tags: tags_json,
+            confidence,
+            reasoning: reasoning.map(|s| s.to_string()),
+            template_id: template_id.map(|s| s.to_string()),
+            confirmed: false,
+            created_at: now,
+        })
+    }
+
+    /// 获取记录的分类结果
+    pub fn get_classification(&self, record_id: &str) -> Result<Option<Classification>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let mut stmt = conn.prepare(
+            "SELECT id, record_id, category, subcategory, tags, confidence, reasoning, template_id, confirmed, created_at
+             FROM classifications WHERE record_id = ?1"
+        ).context("Failed to prepare statement")?;
+
+        let mut classifications = stmt.query_map(params![record_id], |row| {
+            Ok(Classification {
+                id: row.get(0)?,
+                record_id: row.get(1)?,
+                category: row.get(2)?,
+                subcategory: row.get(3)?,
+                tags: row.get(4)?,
+                confidence: row.get(5)?,
+                reasoning: row.get(6)?,
+                template_id: row.get(7)?,
+                confirmed: row.get(8)?,
+                created_at: row.get(9)?,
+            })
+        }).context("Failed to query classifications")?
+            .collect::<std::result::Result<Vec<_>, _>>()
+            .context("Failed to parse classifications")?;
+
+        Ok(classifications.pop())
+    }
+
+    /// 确认分类结果
+    pub fn confirm_classification(&self, id: &str) -> Result<bool> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let affected = conn.execute(
+            "UPDATE classifications SET confirmed = 1 WHERE id = ?1",
+            params![id],
+        ).context("Failed to confirm classification")?;
+
+        Ok(affected > 0)
+    }
+
+    /// 添加分类历史
+    fn add_classification_history(
+        &self,
+        record_id: &str,
+        category: &str,
+        subcategory: Option<&str>,
+        confidence: f64,
+    ) -> Result<()> {
+        let id = Uuid::new_v4().to_string();
+        let now = Utc::now().to_rfc3339();
+
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        conn.execute(
+            "INSERT INTO classification_history (id, record_id, category, subcategory, confidence, created_at)
+             VALUES (?1, ?2, ?3, ?4, ?5, ?6)",
+            params![&id, record_id, category, subcategory, confidence, &now],
+        ).context("Failed to insert classification history")?;
+
+        Ok(())
+    }
+
+    /// 获取分类历史
+    pub fn get_classification_history(
+        &self,
+        record_id: &str,
+        limit: Option<usize>,
+    ) -> Result<Vec<ClassificationHistory>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let limit = limit.unwrap_or(50);
+
+        let mut stmt = conn.prepare(
+            "SELECT id, record_id, category, subcategory, confidence, created_at
+             FROM classification_history
+             WHERE record_id = ?1
+             ORDER BY created_at DESC
+             LIMIT ?2"
+        ).context("Failed to prepare statement")?;
+
+        let history = stmt.query_map(params![record_id, limit], |row| {
+            Ok(ClassificationHistory {
+                id: row.get(0)?,
+                record_id: row.get(1)?,
+                category: row.get(2)?,
+                subcategory: row.get(3)?,
+                confidence: row.get(4)?,
+                created_at: row.get(5)?,
+            })
+        }).context("Failed to query classification history")?
+            .collect::<std::result::Result<Vec<_>, _>>()
+            .context("Failed to parse classification history")?;
+
+        Ok(history)
+    }
+
+    /// 按分类获取记录
+    pub fn list_records_by_category(
+        &self,
+        category: &str,
+        limit: Option<usize>,
+    ) -> Result<Vec<Record>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let limit = limit.unwrap_or(100);
+
+        let mut stmt = conn.prepare(
+            "SELECT r.id, r.record_type, r.content, r.file_path, r.thumbnail, r.metadata, r.created_at, r.updated_at
+             FROM records r
+             INNER JOIN classifications c ON r.id = c.record_id
+             WHERE c.category = ?1 AND c.confirmed = 1
+             ORDER BY r.created_at DESC
+             LIMIT ?2"
+        ).context("Failed to prepare statement")?;
+
+        let records = stmt.query_map(params![category, limit], |row| {
+            let record_type_str: String = row.get(1)?;
+            let record_type: RecordType = serde_json::from_str(&record_type_str)
+                .unwrap_or(RecordType::Text);
+
+            Ok(Record {
+                id: row.get(0)?,
+                record_type,
+                content: row.get(2)?,
+                file_path: row.get(3)?,
+                thumbnail: row.get(4)?,
+                metadata: row.get(5)?,
+                created_at: row.get(6)?,
+                updated_at: row.get(7)?,
+            })
+        }).context("Failed to query records by category")?
+            .collect::<std::result::Result<Vec<_>, _>>()
+            .context("Failed to parse records")?;
+
+        Ok(records)
+    }
+
+    /// 删除分类
+    pub fn delete_classification(&self, id: &str) -> Result<bool> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let affected = conn.execute("DELETE FROM classifications WHERE id = ?1", params![id])
+            .context("Failed to delete classification")?;
+
+        Ok(affected > 0)
+    }
+
+    /// 获取所有分类统计
+    pub fn get_category_stats(&self) -> Result<Vec<(String, usize)>> {
+        let conn = self.conn.lock()
+            .map_err(|e| anyhow::anyhow!("Failed to acquire lock: {}", e))?;
+
+        let mut stmt = conn.prepare(
+            "SELECT category, COUNT(*) as count
+             FROM classifications
+             WHERE confirmed = 1
+             GROUP BY category
+             ORDER BY count DESC"
+        ).context("Failed to prepare statement")?;
+
+        let stats = stmt.query_map([], |row| {
+            Ok((row.get(0)?, row.get(1)?))
+        }).context("Failed to query category stats")?
+            .collect::<std::result::Result<Vec<_>, _>>()
+            .context("Failed to parse category stats")?;
+
+        Ok(stats)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_record_type_serialization() {
+        let record_type = RecordType::Image;
+        let json = serde_json::to_string(&record_type).unwrap();
+        assert_eq!(json, r#"{"type":"image"}"#);
+    }
+
+    #[test]
+    fn test_database_in_memory() -> Result<()> {
+        let db = Database::open(":memory:")?;
+
+        // 插入测试记录
+        let record = db.insert_record(
+            RecordType::Text,
+            "Test content",
+            None,
+            None,
+            None,
+        )?;
+
+        // 查询记录
+        let found = db.get_record(&record.id)?;
+        assert!(found.is_some());
+
+        let found_record = found.unwrap();
+        assert_eq!(found_record.content, "Test content");
+
+        // 删除记录
+        let deleted = db.delete_record(&record.id)?;
+        assert!(deleted);
+
+        // 验证删除
+        let found = db.get_record(&record.id)?;
+        assert!(found.is_none());
+
+        Ok(())
+    }
+}

src-tauri/src/hotkey.rs

@@ -0,0 +1,195 @@
+use serde::{Deserialize, Serialize};
+use std::collections::HashMap;
+use tauri::{AppHandle, Emitter, Listener, Manager, State, WebviewUrl, WebviewWindowBuilder};
+use tauri_plugin_global_shortcut::{GlobalShortcutExt, Shortcut, ShortcutState};
+
+/// 快捷键动作类型
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub enum HotkeyAction {
+    CaptureFullscreen,
+    CaptureRegion,
+    CaptureWindow,
+    ShowHide,
+}
+
+impl HotkeyAction {
+    pub fn as_str(&self) -> &'static str {
+        match self {
+            HotkeyAction::CaptureFullscreen => "capture_fullscreen",
+            HotkeyAction::CaptureRegion => "capture_region",
+            HotkeyAction::CaptureWindow => "capture_window",
+            HotkeyAction::ShowHide => "show_hide",
+        }
+    }
+
+    pub fn from_str(s: &str) -> Option<Self> {
+        match s {
+            "capture_fullscreen" => Some(HotkeyAction::CaptureFullscreen),
+            "capture_region" => Some(HotkeyAction::CaptureRegion),
+            "capture_window" => Some(HotkeyAction::CaptureWindow),
+            "show_hide" => Some(HotkeyAction::ShowHide),
+            _ => None,
+        }
+    }
+}
+
+/// 快捷键配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct HotkeyConfig {
+    pub id: String,
+    pub shortcut: String,
+    pub action: String,
+    pub enabled: bool,
+}
+
+/// 快捷键管理器
+pub struct HotkeyManager {
+    app_handle: AppHandle,
+    registered_shortcuts: HashMap<String, Shortcut>,
+}
+
+impl HotkeyManager {
+    /// 创建新的快捷键管理器
+    pub fn new(app_handle: AppHandle) -> Self {
+        Self {
+            app_handle,
+            registered_shortcuts: HashMap::new(),
+        }
+    }
+
+    /// 注册快捷键
+    pub fn register_shortcut(&mut self, config: HotkeyConfig) -> Result<(), String> {
+        if !config.enabled {
+            return Ok(());
+        }
+
+        let shortcut = Shortcut::new(
+            Some(config.shortcut.clone()),
+            config.shortcut.clone(),
+        );
+
+        self.app_handle
+            .plugin(tauri_plugin_global_shortcut::Builder::new().build())
+            .map_err(|e| format!("Failed to load global shortcut plugin: {}", e))?;
+
+        let app_handle = self.app_handle.clone();
+        let action = config.action.clone();
+
+        self.app_handle
+            .global_shortcut()
+            .on_shortcut(shortcut.clone(), move |_app, _shortcut, _event| {
+                // 发送事件到前端
+                if let Err(e) = app_handle.emit("hotkey-triggered", &action) {
+                    eprintln!("Failed to emit hotkey event: {}", e);
+                }
+            })
+            .map_err(|e| format!("Failed to register shortcut handler: {}", e))?;
+
+        self.registered_shortcuts.insert(config.id.clone(), shortcut);
+
+        Ok(())
+    }
+
+    /// 注销快捷键
+    pub fn unregister_shortcut(&mut self, id: &str) -> Result<(), String> {
+        if let Some(shortcut) = self.registered_shortcuts.remove(id) {
+            self.app_handle
+                .global_shortcut()
+                .unregister(shortcut)
+                .map_err(|e| format!("Failed to unregister shortcut: {}", e))?;
+        }
+        Ok(())
+    }
+
+    /// 获取已注册的快捷键列表
+    pub fn get_registered_shortcuts(&self) -> Vec<String> {
+        self.registered_shortcuts.keys().cloned().collect()
+    }
+
+    /// 注册默认快捷键
+    pub fn register_defaults(&mut self) -> Result<(), String> {
+        let defaults = vec![
+            HotkeyConfig {
+                id: "fullscreen".to_string(),
+                shortcut: "Ctrl+Shift+A".to_string(),
+                action: "capture_fullscreen".to_string(),
+                enabled: true,
+            },
+            HotkeyConfig {
+                id: "region".to_string(),
+                shortcut: "Ctrl+Shift+R".to_string(),
+                action: "capture_region".to_string(),
+                enabled: true,
+            },
+            HotkeyConfig {
+                id: "window".to_string(),
+                shortcut: "Ctrl+Shift+W".to_string(),
+                action: "capture_window".to_string(),
+                enabled: true,
+            },
+            HotkeyConfig {
+                id: "toggle".to_string(),
+                shortcut: "Ctrl+Shift+S".to_string(),
+                action: "show_hide".to_string(),
+                enabled: true,
+            },
+        ];
+
+        for config in defaults {
+            self.register_shortcut(config)?;
+        }
+
+        Ok(())
+    }
+}
+
+/// 初始化全局快捷键
+pub fn init_global_hotkeys(app_handle: &AppHandle) {
+    let mut manager = HotkeyManager::new(app_handle.clone());
+
+    if let Err(e) = manager.register_defaults() {
+        eprintln!("Failed to register default hotkeys: {}", e);
+    }
+
+    // 监听快捷键事件
+    let app_handle = app_handle.clone();
+    app_handle.listen("hotkey-triggered", |event| {
+        if let Some(action_str) = event.payload() {
+            if let Ok(action) = serde_json::from_str::<String>(action_str) {
+                handle_hotkey_action(&app_handle, &action);
+            }
+        }
+    });
+}
+
+/// 处理快捷键动作
+fn handle_hotkey_action(app_handle: &AppHandle, action: &str) {
+    match HotkeyAction::from_str(action) {
+        Some(HotkeyAction::CaptureFullscreen) => {
+            // 发送全屏截图事件
+            let _ = app_handle.emit("screenshot-fullscreen-triggered", ());
+        }
+        Some(HotkeyAction::CaptureRegion) => {
+            // 发送区域截图事件
+            let _ = app_handle.emit("screenshot-region-triggered", ());
+        }
+        Some(HotkeyAction::CaptureWindow) => {
+            // 发送窗口截图事件
+            let _ = app_handle.emit("screenshot-window-triggered", ());
+        }
+        Some(HotkeyAction::ShowHide) => {
+            // 显示/隐藏主窗口
+            if let Some(window) = app_handle.get_webview_window("main") {
+                if window.is_visible().unwrap_or(false) {
+                    let _ = window.hide();
+                } else {
+                    let _ = window.show();
+                    let _ = window.set_focus();
+                }
+            }
+        }
+        None => {
+            eprintln!("Unknown hotkey action: {}", action);
+        }
+    }
+}

src-tauri/src/lib.rs

@@ -0,0 +1,991 @@
+mod screenshot;
+mod hotkey;
+mod config;
+mod upload;
+mod database;
+mod ocr;
+mod plugin;
+mod secure_storage;
+mod ai;
+
+use screenshot::ScreenshotManager;
+use hotkey::init_global_hotkeys;
+use config::{ConfigManager, ImageHostConfig};
+use upload::{Uploader, UploadProgress, UploadResult};
+use database::{Database, RecordType};
+use ocr::{OcrEngineType, OcrConfig, BaiduOcrConfig, TencentOcrConfig, LocalOcrConfig};
+use plugin::{PluginManager, InstallProgress};
+use secure_storage::ApiKeyStorage;
+use ai::{AiClient, AiProvider, Classifier, ClassificationResult, StreamChunk, TemplateManager};
+use std::path::PathBuf;
+use std::sync::Mutex;
+use std::collections::HashMap;
+
+// 全局应用状态
+struct AppState {
+    screenshot_manager: Mutex<ScreenshotManager>,
+    config_manager: Mutex<ConfigManager>,
+    database: Mutex<Database>,
+    plugin_manager: Mutex<PluginManager>,
+    classifier: Mutex<Classifier>,
+    template_manager: Mutex<TemplateManager>,
+}
+
+#[cfg_attr(mobile, tauri::mobile_entry_point)]
+pub fn run() {
+    // 初始化配置管理器
+    let config_manager = ConfigManager::new()
+        .expect("Failed to initialize config manager");
+
+    // 确保数据目录存在
+    config_manager.ensure_data_dir()
+        .expect("Failed to create data directory");
+
+    // 初始化数据库
+    let database = Database::open(&config_manager.database_path())
+        .expect("Failed to initialize database");
+
+    // 初始化截图管理器
+    let screenshot_manager = ScreenshotManager::with_default_dir()
+        .expect("Failed to initialize screenshot manager");
+
+    // 初始化插件管理器
+    let plugin_manager = PluginManager::new(config_manager.config_dir.join("data"));
+
+    // 初始化 AI 分类器
+    let classifier = Classifier::new(ai::ClassifierConfig::default());
+
+    // 初始化模板管理器
+    let templates_dir = config_manager.data_dir().join("templates");
+    let template_manager = TemplateManager::new(templates_dir)
+        .expect("Failed to initialize template manager");
+
+    // 获取配置目录路径
+    let config_dir = config_manager.config_dir.join("data");
+
+    tauri::Builder::default()
+        .setup(|app| {
+            if cfg!(debug_assertions) {
+                app.handle().plugin(
+                    tauri_plugin_log::Builder::default()
+                        .level(log::LevelFilter::Info)
+                        .build(),
+                )?;
+            }
+
+            // 初始化全局快捷键
+            init_global_hotkeys(app.handle());
+
+            Ok(())
+        })
+        .manage(AppState {
+            screenshot_manager: Mutex::new(screenshot_manager),
+            config_manager: Mutex::new(config_manager),
+            database: Mutex::new(database),
+            plugin_manager: Mutex::new(plugin_manager),
+            classifier: Mutex::new(classifier),
+            template_manager: Mutex::new(template_manager),
+        })
+        .invoke_handler(tauri::generate_handler![
+            // 截图相关命令
+            screenshot_fullscreen,
+            screenshot_region,
+            screenshot_copy_to_clipboard,
+            screenshot_delete,
+            screenshot_list,
+            screenshot_cleanup,
+            // 配置相关命令
+            config_get,
+            config_set,
+            config_get_path,
+            // 上传相关命令
+            upload_image,
+            // 数据库相关命令
+            record_insert,
+            record_get,
+            record_list,
+            record_delete,
+            record_clear,
+            record_count,
+            setting_get,
+            setting_set,
+            setting_delete,
+            setting_list,
+            // OCR 相关命令
+            ocr_recognize,
+            ocr_save_api_key,
+            ocr_get_api_keys,
+            // 插件相关命令
+            plugin_list,
+            plugin_install,
+            plugin_uninstall,
+            // AI 分类相关命令
+            ai_classify,
+            ai_classify_stream,
+            ai_save_api_key,
+            ai_get_api_keys,
+            ai_configure_provider,
+            template_list,
+            template_get,
+            template_save,
+            template_delete,
+            template_test,
+            classification_get,
+            classification_confirm,
+            classification_history,
+            classification_stats,
+        ])
+        .run(tauri::generate_context!())
+        .expect("error while running tauri application");
+}
+
+// ============= 截图相关命令 =============
+
+/// 全屏截图
+#[tauri::command]
+async fn screenshot_fullscreen(
+    state: tauri::State<'_, AppState>,
+) -> Result<screenshot::ScreenshotMetadata, String> {
+    let manager = state.screenshot_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    manager.capture_fullscreen()
+        .map_err(|e| format!("Failed to capture screenshot: {}", e))
+}
+
+/// 区域截图
+#[tauri::command]
+async fn screenshot_region(
+    region: screenshot::RegionSelection,
+    state: tauri::State<'_, AppState>,
+) -> Result<screenshot::ScreenshotMetadata, String> {
+    let manager = state.screenshot_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    manager.capture_region(region)
+        .map_err(|e| format!("Failed to capture region: {}", e))
+}
+
+/// 复制截图到剪贴板
+#[tauri::command]
+async fn screenshot_copy_to_clipboard(
+    filepath: PathBuf,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let manager = state.screenshot_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    manager.copy_to_clipboard(&filepath)
+        .map_err(|e| format!("Failed to copy to clipboard: {}", e))
+}
+
+/// 删除截图
+#[tauri::command]
+async fn screenshot_delete(
+    filepath: PathBuf,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let manager = state.screenshot_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    manager.delete_screenshot(&filepath)
+        .map_err(|e| format!("Failed to delete screenshot: {}", e))
+}
+
+/// 获取所有截图列表
+#[tauri::command]
+async fn screenshot_list(
+    state: tauri::State<'_, AppState>,
+) -> Result<Vec<screenshot::ScreenshotMetadata>, String> {
+    let manager = state.screenshot_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    manager.list_screenshots()
+        .map_err(|e| format!("Failed to list screenshots: {}", e))
+}
+
+/// 清理旧截图
+#[tauri::command]
+async fn screenshot_cleanup(
+    keep_count: usize,
+    state: tauri::State<'_, AppState>,
+) -> Result<usize, String> {
+    let manager = state.screenshot_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    manager.cleanup_old_screenshots(keep_count)
+        .map_err(|e| format!("Failed to cleanup screenshots: {}", e))
+}
+
+// ============= 配置相关命令 =============
+
+/// 获取配置
+#[tauri::command]
+async fn config_get(
+    state: tauri::State<'_, AppState>,
+) -> Result<config::AppConfig, String> {
+    let config_manager = state.config_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    config_manager.load()
+        .map_err(|e| format!("Failed to load config: {}", e))
+}
+
+/// 设置配置
+#[tauri::command]
+async fn config_set(
+    config: config::AppConfig,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let config_manager = state.config_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    config_manager.save(&config)
+        .map_err(|e| format!("Failed to save config: {}", e))
+}
+
+/// 获取配置目录路径
+#[tauri::command]
+async fn config_get_path(
+    state: tauri::State<'_, AppState>,
+) -> Result<String, String> {
+    let config_manager = state.config_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    Ok(config_manager.config_file_path()
+        .to_string_lossy()
+        .to_string())
+}
+
+// ============= 上传相关命令 =============
+
+/// 上传图片到图床
+#[tauri::command]
+async fn upload_image(
+    image_path: PathBuf,
+    image_host: ImageHostConfig,
+    state: tauri::State<'_, AppState>,
+) -> Result<UploadResult, String> {
+    // 加载配置以获取重试次数和超时设置
+    let config_manager = state.config_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    let config = config_manager.load()
+        .map_err(|e| format!("Failed to load config: {}", e))?;
+
+    let uploader = Uploader::new(
+        config.upload_retry_count,
+        config.upload_timeout_seconds,
+    );
+
+    // 使用 tokio runtime 运行异步上传
+    let result = tokio::spawn(async move {
+        uploader.upload_with_retry(&image_path, &image_host, |progress| {
+            match progress {
+                UploadProgress::Starting => {
+                    log::info!("Upload starting");
+                }
+                UploadProgress::Uploading { progress, message } => {
+                    log::info!("Upload progress: {:.1}% - {}", progress, message);
+                }
+                UploadProgress::Completed(result) => {
+                    log::info!("Upload completed: {}", result.url);
+                }
+                UploadProgress::Failed { error } => {
+                    log::error!("Upload failed: {}", error);
+                }
+            }
+        }).await
+    }).await
+        .map_err(|e| format!("Failed to join upload task: {}", e))?;
+
+    result.map_err(|e| format!("Upload error: {}", e))
+}
+
+// ============= 数据库相关命令 =============
+
+/// 插入记录
+#[tauri::command]
+async fn record_insert(
+    record_type: String,
+    content: String,
+    file_path: Option<String>,
+    thumbnail: Option<String>,
+    metadata: Option<String>,
+    state: tauri::State<'_, AppState>,
+) -> Result<database::Record, String> {
+    let record_type = match record_type.as_str() {
+        "image" => RecordType::Image,
+        "text" => RecordType::Text,
+        "file" => RecordType::File,
+        _ => return Err("Invalid record type".to_string()),
+    };
+
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.insert_record(
+        record_type,
+        &content,
+        file_path.as_deref(),
+        thumbnail.as_deref(),
+        metadata.as_deref(),
+    ).map_err(|e| format!("Failed to insert record: {}", e))
+}
+
+/// 获取记录
+#[tauri::command]
+async fn record_get(
+    id: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<Option<database::Record>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.get_record(&id)
+        .map_err(|e| format!("Failed to get record: {}", e))
+}
+
+/// 列出记录
+#[tauri::command]
+async fn record_list(
+    limit: Option<usize>,
+    offset: Option<usize>,
+    state: tauri::State<'_, AppState>,
+) -> Result<Vec<database::Record>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.list_records(limit, offset)
+        .map_err(|e| format!("Failed to list records: {}", e))
+}
+
+/// 删除记录
+#[tauri::command]
+async fn record_delete(
+    id: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<bool, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.delete_record(&id)
+        .map_err(|e| format!("Failed to delete record: {}", e))
+}
+
+/// 清空所有记录
+#[tauri::command]
+async fn record_clear(
+    state: tauri::State<'_, AppState>,
+) -> Result<usize, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.clear_records()
+        .map_err(|e| format!("Failed to clear records: {}", e))
+}
+
+/// 获取记录数量
+#[tauri::command]
+async fn record_count(
+    state: tauri::State<'_, AppState>,
+) -> Result<usize, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.get_records_count()
+        .map_err(|e| format!("Failed to get records count: {}", e))
+}
+
+/// 获取设置
+#[tauri::command]
+async fn setting_get(
+    key: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<Option<String>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.get_setting(&key)
+        .map_err(|e| format!("Failed to get setting: {}", e))
+}
+
+/// 设置设置
+#[tauri::command]
+async fn setting_set(
+    key: String,
+    value: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.set_setting(&key, &value)
+        .map_err(|e| format!("Failed to set setting: {}", e))
+}
+
+/// 删除设置
+#[tauri::command]
+async fn setting_delete(
+    key: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<bool, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.delete_setting(&key)
+        .map_err(|e| format!("Failed to delete setting: {}", e))
+}
+
+/// 列出所有设置
+#[tauri::command]
+async fn setting_list(
+    state: tauri::State<'_, AppState>,
+) -> Result<Vec<database::Setting>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.list_settings()
+        .map_err(|e| format!("Failed to list settings: {}", e))
+}
+
+// ============= OCR 相关命令 =============
+
+/// 执行 OCR 识别
+#[tauri::command]
+async fn ocr_recognize(
+    image_path: PathBuf,
+    engine: String,
+    state: tauri::State<'_, AppState>,
+    window: tauri::Window,
+) -> Result<ocr::OcrResult, String> {
+    let ocr_engine = match engine.as_str() {
+        "baidu" => OcrEngineType::Baidu,
+        "tencent" => OcrEngineType::Tencent,
+        "local" => OcrEngineType::Local,
+        _ => return Err("不支持的 OCR 引擎".to_string()),
+    };
+
+    let config_manager = state.config_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    // 从数据库获取 API 密钥配置
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    // 构建 OCR 配置
+    let ocr_config = match ocr_engine {
+        OcrEngineType::Baidu => {
+            let api_key = db.get_setting("baidu_ocr_api_key")
+                .map_err(|e| format!("Failed to get API key: {}", e))?
+                .ok_or_else(|| "百度 API Key 未设置".to_string())?;
+            let secret_key = db.get_setting("baidu_ocr_secret_key")
+                .map_err(|e| format!("Failed to get secret key: {}", e))?
+                .ok_or_else(|| "百度 Secret Key 未设置".to_string())?;
+
+            OcrConfig {
+                engine: OcrEngineType::Baidu,
+                baidu: Some(BaiduOcrConfig {
+                    api_key,
+                    secret_key,
+                    accurate: true,
+                }),
+                tencent: None,
+                local: None,
+            }
+        }
+        OcrEngineType::Tencent => {
+            let secret_id = db.get_setting("tencent_ocr_secret_id")
+                .map_err(|e| format!("Failed to get secret id: {}", e))?
+                .ok_or_else(|| "腾讯云 Secret ID 未设置".to_string())?;
+            let secret_key = db.get_setting("tencent_ocr_secret_key")
+                .map_err(|e| format!("Failed to get secret key: {}", e))?
+                .ok_or_else(|| "腾讯云 Secret Key 未设置".to_string())?;
+
+            OcrConfig {
+                engine: OcrEngineType::Tencent,
+                baidu: None,
+                tencent: Some(TencentOcrConfig {
+                    secret_id,
+                    secret_key,
+                    region: "ap-guangzhou".to_string(),
+                }),
+                local: None,
+            }
+        }
+        OcrEngineType::Local => {
+            let plugin_manager = state.plugin_manager.lock()
+                .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+            let plugin_path = db.get_setting("local_ocr_plugin_path")
+                .map_err(|e| format!("Failed to get plugin path: {}", e))?
+                .ok_or_else(|| "本地 OCR 插件路径未设置".to_string())?;
+
+            OcrConfig {
+                engine: OcrEngineType::Local,
+                baidu: None,
+                tencent: None,
+                local: Some(LocalOcrConfig {
+                    plugin_path: PathBuf::from(plugin_path),
+                    model_path: None,
+                }),
+            }
+        }
+    };
+
+    // 读取图片数据
+    let image_data = std::fs::read(&image_path)
+        .map_err(|e| format!("Failed to read image: {}", e))?;
+
+    // 执行 OCR
+    let provider = ocr::CloudOcrProvider::new();
+
+    // 通过窗口事件发送进度更新
+    let window_clone = window.clone();
+    let progress_callback = Box::new(move |progress| {
+        let _ = window_clone.emit("ocr-progress", &progress);
+    });
+
+    let result = tokio::spawn(async move {
+        provider.recognize(&image_data, &ocr_config, Some(progress_callback)).await
+    }).await
+        .map_err(|e| format!("Failed to join OCR task: {}", e))?
+        .map_err(|e| format!("OCR error: {}", e))?;
+
+    Ok(result)
+}
+
+/// 保存 OCR API 密钥
+#[tauri::command]
+async fn ocr_save_api_key(
+    provider: String,
+    keys: std::collections::HashMap<String, String>,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    match provider.as_str() {
+        "baidu" => {
+            if let Some(api_key) = keys.get("api_key") {
+                db.set_setting("baidu_ocr_api_key", api_key)
+                    .map_err(|e| format!("Failed to save API key: {}", e))?;
+            }
+            if let Some(secret_key) = keys.get("secret_key") {
+                db.set_setting("baidu_ocr_secret_key", secret_key)
+                    .map_err(|e| format!("Failed to save secret key: {}", e))?;
+            }
+        }
+        "tencent" => {
+            if let Some(secret_id) = keys.get("secret_id") {
+                db.set_setting("tencent_ocr_secret_id", secret_id)
+                    .map_err(|e| format!("Failed to save secret id: {}", e))?;
+            }
+            if let Some(secret_key) = keys.get("secret_key") {
+                db.set_setting("tencent_ocr_secret_key", secret_key)
+                    .map_err(|e| format!("Failed to save secret key: {}", e))?;
+            }
+        }
+        _ => return Err("不支持的 OCR 提供者".to_string()),
+    }
+
+    Ok(())
+}
+
+/// 获取已保存的 API 密钥（返回脱敏信息）
+#[tauri::command]
+async fn ocr_get_api_keys(
+    state: tauri::State<'_, AppState>,
+) -> Result<std::collections::HashMap<String, bool>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    let mut result = std::collections::HashMap::new();
+
+    // 检查百度密钥
+    let baidu_key = db.get_setting("baidu_ocr_api_key")
+        .map_err(|e| format!("Failed to check baidu key: {}", e))?;
+    result.insert("baidu".to_string(), baidu_key.is_some());
+
+    // 检查腾讯云密钥
+    let tencent_key = db.get_setting("tencent_ocr_secret_id")
+        .map_err(|e| format!("Failed to check tencent key: {}", e))?;
+    result.insert("tencent".to_string(), tencent_key.is_some());
+
+    Ok(result)
+}
+
+// ============= 插件相关命令 =============
+
+/// 获取插件列表
+#[tauri::command]
+async fn plugin_list(
+    state: tauri::State<'_, AppState>,
+) -> Result<Vec<plugin::PluginStatus>, String> {
+    let plugin_manager = state.plugin_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    tokio::spawn(async move {
+        plugin_manager.get_plugin_status().await
+    }).await
+        .map_err(|e| format!("Failed to join plugin list task: {}", e))?
+        .map_err(|e| format!("Failed to get plugin list: {}", e))
+}
+
+/// 安装插件
+#[tauri::command]
+async fn plugin_install(
+    plugin_id: String,
+    state: tauri::State<'_, AppState>,
+    window: tauri::Window,
+) -> Result<String, String> {
+    let plugin_manager = state.plugin_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    let (tx, mut rx) = tokio::sync::mpsc::channel(32);
+
+    // 在后台任务中发送进度更新
+    let window_clone = window.clone();
+    tokio::spawn(async move {
+        while let Some(progress) = rx.recv().await {
+            let _ = window_clone.emit("plugin-install-progress", &progress);
+        }
+    });
+
+    // 执行安装
+    let install_path = tokio::spawn(async move {
+        plugin_manager.install_plugin(&plugin_id, tx).await
+    }).await
+        .map_err(|e| format!("Failed to join install task: {}", e))?
+        .map_err(|e| format!("Installation failed: {}", e))?;
+
+    Ok(install_path.to_string_lossy().to_string())
+}
+
+/// 卸载插件
+#[tauri::command]
+async fn plugin_uninstall(
+    plugin_id: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let plugin_manager = state.plugin_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    plugin_manager.uninstall_plugin(&plugin_id)
+        .map_err(|e| format!("Failed to uninstall plugin: {}", e))
+}
+
+// ============= AI 分类相关命令 =============
+
+/// 执行 AI 分类
+#[tauri::command]
+async fn ai_classify(
+    record_id: String,
+    template_id: Option<String>,
+    variables: HashMap<String, String>,
+    state: tauri::State<'_, AppState>,
+) -> Result<ClassificationResult, String> {
+    let classifier = state.classifier.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    let result = tokio::spawn(async move {
+        // 释放锁后再调用
+        let classifier_ref = unsafe { &*(&*classifier as *const Classifier) };
+        classifier_ref.classify(template_id.as_deref(), &variables).await
+    }).await
+        .map_err(|e| format!("Failed to join classify task: {}", e))?
+        .map_err(|e| format!("Classification error: {}", e))?;
+
+    // 保存分类结果到数据库
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.save_classification(
+        &record_id,
+        &result.category,
+        result.subcategory.as_deref(),
+        &result.tags,
+        result.confidence,
+        result.reasoning.as_deref(),
+        template_id.as_deref(),
+    ).map_err(|e| format!("Failed to save classification: {}", e))?;
+
+    Ok(result)
+}
+
+/// 执行流式 AI 分类
+#[tauri::command]
+async fn ai_classify_stream(
+    record_id: String,
+    template_id: Option<String>,
+    variables: HashMap<String, String>,
+    state: tauri::State<'_, AppState>,
+    window: tauri::Window,
+) -> Result<ClassificationResult, String> {
+    let classifier = state.classifier.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    let window_clone = window.clone();
+
+    let result = tokio::spawn(async move {
+        let classifier_ref = unsafe { &*(&*classifier as *const Classifier) };
+        classifier_ref.classify_stream(
+            template_id.as_deref(),
+            &variables,
+            |chunk| {
+                match chunk {
+                    StreamChunk::Text(text) => {
+                        let _ = window_clone.emit("ai-classify-chunk", &text);
+                    }
+                    StreamChunk::Done => {
+                        let _ = window_clone.emit("ai-classify-done", ());
+                    }
+                    StreamChunk::Error(err) => {
+                        let _ = window_clone.emit("ai-classify-error", &err);
+                    }
+                }
+            },
+        ).await
+    }).await
+        .map_err(|e| format!("Failed to join classify task: {}", e))?
+        .map_err(|e| format!("Classification error: {}", e))?;
+
+    // 保存分类结果到数据库
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.save_classification(
+        &record_id,
+        &result.category,
+        result.subcategory.as_deref(),
+        &result.tags,
+        result.confidence,
+        result.reasoning.as_deref(),
+        template_id.as_deref(),
+    ).map_err(|e| format!("Failed to save classification: {}", e))?;
+
+    Ok(result)
+}
+
+/// 保存 AI API 密钥
+#[tauri::command]
+async fn ai_save_api_key(
+    provider: String,
+    api_key: String,
+    model: Option<String>,
+    base_url: Option<String>,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    match provider.as_str() {
+        "claude" => {
+            db.set_setting("claude_api_key", &api_key)
+                .map_err(|e| format!("Failed to save API key: {}", e))?;
+            if let Some(model) = model {
+                db.set_setting("claude_model", &model)
+                    .map_err(|e| format!("Failed to save model: {}", e))?;
+            }
+        }
+        "openai" => {
+            db.set_setting("openai_api_key", &api_key)
+                .map_err(|e| format!("Failed to save API key: {}", e))?;
+            if let Some(model) = model {
+                db.set_setting("openai_model", &model)
+                    .map_err(|e| format!("Failed to save model: {}", e))?;
+            }
+            if let Some(base_url) = base_url {
+                db.set_setting("openai_base_url", &base_url)
+                    .map_err(|e| format!("Failed to save base URL: {}", e))?;
+            }
+        }
+        _ => return Err("不支持的 AI 提供商".to_string()),
+    }
+
+    Ok(())
+}
+
+/// 获取已保存的 API 密钥（返回脱敏信息）
+#[tauri::command]
+async fn ai_get_api_keys(
+    state: tauri::State<'_, AppState>,
+) -> Result<HashMap<String, bool>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    let mut result = HashMap::new();
+
+    let claude_key = db.get_setting("claude_api_key")
+        .map_err(|e| format!("Failed to check claude key: {}", e))?;
+    result.insert("claude".to_string(), claude_key.is_some());
+
+    let openai_key = db.get_setting("openai_api_key")
+        .map_err(|e| format!("Failed to check openai key: {}", e))?;
+    result.insert("openai".to_string(), openai_key.is_some());
+
+    Ok(result)
+}
+
+/// 配置 AI 提供商
+#[tauri::command]
+async fn ai_configure_provider(
+    provider: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    let classifier = state.classifier.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    match provider.as_str() {
+        "claude" => {
+            let api_key = db.get_setting("claude_api_key")
+                .map_err(|e| format!("Failed to get API key: {}", e))?
+                .ok_or_else(|| "Claude API Key 未设置".to_string())?;
+            let model = db.get_setting("claude_model")
+                .map_err(|e| format!("Failed to get model: {}", e))?;
+
+            let classifier_ref = unsafe { &*(&*classifier as *const Classifier) };
+            classifier_ref.configure_claude(api_key, model)
+                .map_err(|e| format!("Failed to configure Claude: {}", e))?;
+        }
+        "openai" => {
+            let api_key = db.get_setting("openai_api_key")
+                .map_err(|e| format!("Failed to get API key: {}", e))?
+                .ok_or_else(|| "OpenAI API Key 未设置".to_string())?;
+            let model = db.get_setting("openai_model")
+                .map_err(|e| format!("Failed to get model: {}", e))?;
+            let base_url = db.get_setting("openai_base_url")
+                .map_err(|e| format!("Failed to get base URL: {}", e))?;
+
+            let classifier_ref = unsafe { &*(&*classifier as *const Classifier) };
+            classifier_ref.configure_openai(api_key, model, base_url)
+                .map_err(|e| format!("Failed to configure OpenAI: {}", e))?;
+        }
+        _ => return Err("不支持的 AI 提供商".to_string()),
+    }
+
+    Ok(())
+}
+
+// ============= 模板管理相关命令 =============
+
+/// 列出所有模板
+#[tauri::command]
+async fn template_list(
+    state: tauri::State<'_, AppState>,
+) -> Result<Vec<ai::Template>, String> {
+    let template_manager = state.template_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    template_manager.list_templates()
+        .map_err(|e| format!("Failed to list templates: {}", e))
+}
+
+/// 获取单个模板
+#[tauri::command]
+async fn template_get(
+    id: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<Option<ai::Template>, String> {
+    let template_manager = state.template_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    Ok(template_manager.get_template(&id))
+}
+
+/// 保存模板
+#[tauri::command]
+async fn template_save(
+    template: ai::Template,
+    state: tauri::State<'_, AppState>,
+) -> Result<(), String> {
+    let template_manager = state.template_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    template_manager.upsert_template(template)
+        .map_err(|e| format!("Failed to save template: {}", e))
+}
+
+/// 删除模板
+#[tauri::command]
+async fn template_delete(
+    id: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<bool, String> {
+    let template_manager = state.template_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    template_manager.delete_template(&id)
+        .map_err(|e| format!("Failed to delete template: {}", e))
+}
+
+/// 测试模板渲染
+#[tauri::command]
+async fn template_test(
+    id: String,
+    variables: HashMap<String, String>,
+    state: tauri::State<'_, AppState>,
+) -> Result<(String, String), String> {
+    let template_manager = state.template_manager.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    template_manager.test_template(&id, &variables)
+        .map_err(|e| format!("Failed to test template: {}", e))
+}
+
+// ============= 分类结果相关命令 =============
+
+/// 获取记录的分类结果
+#[tauri::command]
+async fn classification_get(
+    record_id: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<Option<database::Classification>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.get_classification(&record_id)
+        .map_err(|e| format!("Failed to get classification: {}", e))
+}
+
+/// 确认分类结果
+#[tauri::command]
+async fn classification_confirm(
+    id: String,
+    state: tauri::State<'_, AppState>,
+) -> Result<bool, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.confirm_classification(&id)
+        .map_err(|e| format!("Failed to confirm classification: {}", e))
+}
+
+/// 获取分类历史
+#[tauri::command]
+async fn classification_history(
+    record_id: String,
+    limit: Option<usize>,
+    state: tauri::State<'_, AppState>,
+) -> Result<Vec<database::ClassificationHistory>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.get_classification_history(&record_id, limit)
+        .map_err(|e| format!("Failed to get classification history: {}", e))
+}
+
+/// 获取分类统计
+#[tauri::command]
+async fn classification_stats(
+    state: tauri::State<'_, AppState>,
+) -> Result<Vec<(String, usize)>, String> {
+    let db = state.database.lock()
+        .map_err(|e| format!("Failed to acquire lock: {}", e))?;
+
+    db.get_category_stats()
+        .map_err(|e| format!("Failed to get category stats: {}", e))
+}

src-tauri/src/main.rs

@@ -0,0 +1,6 @@
+// Prevents additional console window on Windows in release, DO NOT REMOVE!!
+#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
+
+fn main() {
+  app_lib::run();
+}

src-tauri/src/ocr/cloud.rs

@@ -0,0 +1,380 @@
+use super::{OcrConfig, OcrEngineType, OcrProgress, OcrResult};
+use super::result::{TextBlock, TextBlockType, BoundingBox};
+use anyhow::{Context, Result};
+use chrono::Utc;
+use reqwest::Client;
+use serde::{Deserialize, Serialize};
+use sha2::{Sha256, Digest};
+use std::time::Instant;
+
+/// 云端 OCR 提供者
+pub struct CloudOcrProvider {
+    client: Client,
+}
+
+impl CloudOcrProvider {
+    /// 创建新的云端 OCR 提供者
+    pub fn new() -> Self {
+        Self {
+            client: Client::new(),
+        }
+    }
+
+    /// 执行 OCR 识别
+    pub async fn recognize(
+        &self,
+        image_data: &[u8],
+        config: &OcrConfig,
+        progress_callback: Option<Box<dyn Fn(OcrProgress) + Send + Sync>>,
+    ) -> Result<OcrResult> {
+        let start = Instant::now();
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Starting);
+        }
+
+        let result = match config.engine {
+            OcrEngineType::Baidu => {
+                let baidu_config = config.baidu.as_ref()
+                    .context("百度 OCR 配置未设置")?;
+                self.baidu_ocr(image_data, baidu_config, progress_callback).await?
+            }
+            OcrEngineType::Tencent => {
+                let tencent_config = config.tencent.as_ref()
+                    .context("腾讯云 OCR 配置未设置")?;
+                self.tencent_ocr(image_data, tencent_config, progress_callback).await?
+            }
+            _ => return Err(anyhow::anyhow!("不支持的 OCR 引擎类型")),
+        };
+
+        let duration = start.elapsed().as_millis() as u64;
+        let mut final_result = result;
+        final_result.duration_ms = duration;
+
+        Ok(final_result)
+    }
+
+    /// 百度 OCR 识别
+    async fn baidu_ocr(
+        &self,
+        image_data: &[u8],
+        config: &super::BaiduOcrConfig,
+        progress_callback: Option<Box<dyn Fn(OcrProgress) + Send + Sync>>,
+    ) -> Result<OcrResult> {
+        // 获取访问令牌
+        let token = self.get_baidu_token(&config.api_key, &config.secret_key).await?;
+
+        // 编码图片为 Base64
+        let base64_image = base64::encode(image_data);
+
+        // 构建请求
+        let url = if config.accurate {
+            "https://aip.baidubce.com/rest/2.0/ocr/v1/accurate_basic"
+        } else {
+            "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic"
+        };
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Processing {
+                progress: 50.0,
+                message: "正在调用百度 OCR API...".to_string(),
+            });
+        }
+
+        let response = self
+            .client
+            .post(url)
+            .query(&[("access_token", &token)])
+            .form(&[("image", base64_image)])
+            .send()
+            .await
+            .context("百度 OCR API 请求失败")?;
+
+        let response_text = response.text().await?;
+        let baidu_result: BaiduOcrResponse = serde_json::from_str(&response_text)
+            .with_context(|| format!("百度 OCR 响应解析失败: {}", response_text))?;
+
+        if let Some(error_msg) = baidu_result.error_msg {
+            return Err(anyhow::anyhow!("百度 OCR 错误: {} (错误码: {})",
+                error_msg, baidu_result.error_code.unwrap_or(0)));
+        }
+
+        // 转换为统一格式
+        let blocks = baidu_result
+            .words_result
+            .unwrap_or_default()
+            .into_iter()
+            .enumerate()
+            .map(|(idx, item)| TextBlock {
+                text: item.words,
+                confidence: item.probability.unwrap_or(0.0) * 100.0,
+                bbox: BoundingBox {
+                    x: 0,
+                    y: idx as u32 * 20, // 百度不返回位置信息，使用估算值
+                    width: 100,
+                    height: 20,
+                },
+                block_type: TextBlockType::Text,
+            })
+            .collect();
+
+        let result = OcrResult::from_blocks(blocks, "Baidu".to_string(), 0);
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Completed(result.clone()));
+        }
+
+        Ok(result)
+    }
+
+    /// 获取百度访问令牌
+    async fn get_baidu_token(&self, api_key: &str, secret_key: &str) -> Result<String> {
+        let response = self
+            .client
+            .post("https://aip.baidubce.com/oauth/2.0/token")
+            .query(&[
+                ("grant_type", "client_credentials"),
+                ("client_id", api_key),
+                ("client_secret", secret_key),
+            ])
+            .send()
+            .await
+            .context("获取百度访问令牌失败")?;
+
+        let token_response: BaiduTokenResponse = response.json().await?;
+        Ok(token_response.access_token)
+    }
+
+    /// 腾讯云 OCR 识别
+    async fn tencent_ocr(
+        &self,
+        image_data: &[u8],
+        config: &super::TencentOcrConfig,
+        progress_callback: Option<Box<dyn Fn(OcrProgress) + Send + Sync>>,
+    ) -> Result<OcrResult> {
+        let base64_image = base64::encode(image_data);
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Processing {
+                progress: 50.0,
+                message: "正在调用腾讯云 OCR API...".to_string(),
+            });
+        }
+
+        // 构建请求参数
+        let request = TencentOcrRequest {
+            image_base64: base64_image,
+            ..Default::default()
+        };
+
+        // 构建签名
+        let timestamp = Utc::now().timestamp();
+        let endpoint = "ocr.tencentcloudapi.com";
+        let service = "ocr";
+        let version = "2018-11-19";
+        let action = "GeneralBasicOCR";
+
+        let authorization = self.tencent_authorization(
+            &config.secret_id,
+            &config.secret_key,
+            endpoint,
+            service,
+            version,
+            action,
+            timestamp,
+            &request,
+        )?;
+
+        let url = format!("https://{}?Action={}&Version={}", endpoint, action, version);
+
+        let response = self
+            .client
+            .post(&url)
+            .header("Authorization", authorization)
+            .header("Content-Type", "application/json")
+            .header("Host", endpoint)
+            .header("X-TC-Timestamp", timestamp.to_string())
+            .header("X-TC-Region", &config.region)
+            .json(&request)
+            .send()
+            .await
+            .context("腾讯云 OCR API 请求失败")?;
+
+        let response_text = response.text().await?;
+        let tencent_result: TencentOcrResponse = serde_json::from_str(&response_text)
+            .with_context(|| format!("腾讯云 OCR 响应解析失败: {}", response_text))?;
+
+        if let Some(error) = &tencent_result.response.error {
+            return Err(anyhow::anyhow!("腾讯云 OCR 错误: {} (代码: {})",
+                error.message, error.code));
+        }
+
+        // 转换为统一格式
+        let blocks = tencent_result
+            .response
+            .text_detections
+            .unwrap_or_default()
+            .into_iter()
+            .map(|item| TextBlock {
+                text: item.detected_text,
+                confidence: item.confidence,
+                bbox: BoundingBox {
+                    x: item.polygon.as_ref().map(|p| p[0].x as u32).unwrap_or(0),
+                    y: item.polygon.as_ref().map(|p| p[0].y as u32).unwrap_or(0),
+                    width: 100,
+                    height: 20,
+                },
+                block_type: TextBlockType::Text,
+            })
+            .collect();
+
+        let result = OcrResult::from_blocks(blocks, "Tencent".to_string(), 0);
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Completed(result.clone()));
+        }
+
+        Ok(result)
+    }
+
+    /// 生成腾讯云 API 签名
+    fn tencent_authorization(
+        &self,
+        secret_id: &str,
+        secret_key: &str,
+        endpoint: &str,
+        service: &str,
+        version: &str,
+        action: &str,
+        timestamp: i64,
+        request: &TencentOcrRequest,
+    ) -> Result<String> {
+        // 简化的签名实现（实际生产环境应使用完整的 HMAC-SHA256）
+        let date = Utc::now().format("%Y-%m-%d").to_string();
+
+        // 构建签名字符串
+        let payload = serde_json::to_string(request)?;
+        let hashed_payload = format!("{:x}", Sha256::digest(payload.as_bytes()));
+
+        let credential_scope = format!("{}/{}/tc3_request", date, service);
+
+        // 简化版：实际应包含完整 HTTP 方法、路径、查询参数等
+        let string_to_sign = format!(
+            "TC3-HMAC-SHA256\n{}\n{}\n{}",
+            timestamp, credential_scope, hashed_payload
+        );
+
+        // 计算签名
+        let secret_date = hmac_sha256(format!("TC3{}", secret_key).as_bytes(), date.as_bytes());
+        let secret_service = hmac_sha256(&secret_date, service.as_bytes());
+        let secret_signing = hmac_sha256(&secret_service, b"tc3_request");
+        let signature = hex_encode(hmac_sha256(&secret_signing, string_to_sign.as_bytes()));
+
+        let authorization = format!(
+            "TC3-HMAC-SHA256 Credential={}/{}, SignedHeaders=content-type;host, Signature={}",
+            secret_id, credential_scope, signature
+        );
+
+        Ok(authorization)
+    }
+}
+
+impl Default for CloudOcrProvider {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+/// 百度 OCR 令牌响应
+#[derive(Debug, Deserialize)]
+struct BaiduTokenResponse {
+    access_token: String,
+}
+
+/// 百度 OCR 响应
+#[derive(Debug, Deserialize)]
+struct BaiduOcrResponse {
+    #[serde(rename = "words_result")]
+    words_result: Option<Vec<BaiduWord>>,
+    #[serde(rename = "error_code")]
+    error_code: Option<i32>,
+    #[serde(rename = "error_msg")]
+    error_msg: Option<String>,
+}
+
+#[derive(Debug, Deserialize)]
+struct BaiduWord {
+    words: String,
+    probability: Option<f32>,
+}
+
+/// 腾讯云 OCR 请求
+#[derive(Debug, Serialize, Default)]
+struct TencentOcrRequest {
+    #[serde(rename = "ImageBase64")]
+    image_base64: String,
+}
+
+/// 腾讯云 OCR 响应
+#[derive(Debug, Deserialize)]
+struct TencentOcrResponse {
+    #[serde(rename = "Response")]
+    response: TencentResponse,
+}
+
+#[derive(Debug, Deserialize)]
+struct TencentResponse {
+    #[serde(rename = "Error")]
+    error: Option<TencentError>,
+    #[serde(rename = "TextDetections")]
+    text_detections: Option<Vec<TencentTextDetection>>,
+}
+
+#[derive(Debug, Deserialize)]
+struct TencentError {
+    #[serde(rename = "Code")]
+    code: String,
+    #[serde(rename = "Message")]
+    message: String,
+}
+
+#[derive(Debug, Deserialize)]
+struct TencentTextDetection {
+    #[serde(rename = "DetectedText")]
+    detected_text: String,
+    #[serde(rename = "Confidence")]
+    confidence: f32,
+    #[serde(rename = "Polygon")]
+    polygon: Option<Vec<TencentPoint>>,
+}
+
+#[derive(Debug, Deserialize)]
+struct TencentPoint {
+    #[serde(rename = "X")]
+    x: f32,
+    #[serde(rename = "Y")]
+    y: f32,
+}
+
+/// HMAC-SHA256 辅助函数
+fn hmac_sha256(key: &[u8], data: &[u8]) -> Vec<u8> {
+    use hmac::Hmac;
+    use hmac::Mac;
+    type HmacSha256 = Hmac<Sha256>;
+
+    let mut mac = HmacSha256::new_from_slice(key).expect("HMAC key length error");
+    mac.update(data);
+    mac.finalize().into_bytes().to_vec()
+}
+
+/// 十六进制编码
+fn hex_encode(data: Vec<u8>) -> String {
+    data.iter().map(|b| format!("{:02x}", b)).collect()
+}
+
+/// 云端 OCR 请求（用于前端调用）
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CloudOcrRequest {
+    pub image_path: String,
+    pub engine: OcrEngineType,
+}

src-tauri/src/ocr/local.rs

@@ -0,0 +1,174 @@
+use super::{OcrProgress, OcrResult};
+use super::result::{TextBlock, TextBlockType, BoundingBox};
+use anyhow::{Context, Result};
+use serde::{Deserialize, Serialize};
+use std::path::Path;
+use std::process::{Command, Output};
+use std::time::Instant;
+
+/// 本地 OCR 插件
+pub struct LocalOcrPlugin {
+    plugin_path: std::path::PathBuf,
+}
+
+impl LocalOcrPlugin {
+    /// 创建新的本地 OCR 插件
+    pub fn new(plugin_path: std::path::PathBuf) -> Self {
+        Self { plugin_path }
+    }
+
+    /// 执行 OCR 识别
+    pub fn recognize(
+        &self,
+        image_path: &Path,
+        progress_callback: Option<Box<dyn Fn(OcrProgress) + Send + Sync>>,
+    ) -> Result<OcrResult> {
+        let start = Instant::now();
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Starting);
+        }
+
+        // 检查插件是否存在
+        if !self.plugin_path.exists() {
+            return Err(anyhow::anyhow!("本地 OCR 插件不存在: {}",
+                self.plugin_path.display()));
+        }
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Processing {
+                progress: 30.0,
+                message: "正在启动本地 OCR 引擎...".to_string(),
+            });
+        }
+
+        // 调用本地插件
+        let output = self.call_plugin(image_path)?;
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Processing {
+                progress: 70.0,
+                message: "正在解析 OCR 结果...".to_string(),
+            });
+        }
+
+        // 解析结果
+        let plugin_result: LocalOcrResponse = serde_json::from_str(&output)
+            .context("本地 OCR 插件返回的 JSON 格式错误")?;
+
+        if !plugin_result.success {
+            return Err(anyhow::anyhow!("本地 OCR 失败: {}",
+                plugin_result.error.unwrap_or_else(|| "未知错误".to_string())));
+        }
+
+        // 转换为统一格式
+        let blocks = plugin_result
+            .blocks
+            .into_iter()
+            .map(|block| TextBlock {
+                text: block.text,
+                confidence: block.confidence,
+                bbox: BoundingBox {
+                    x: block.bbox_x,
+                    y: block.bbox_y,
+                    width: block.bbox_width,
+                    height: block.bbox_height,
+                },
+                block_type: match block.block_type.as_str() {
+                    "title" => TextBlockType::Title,
+                    "list" => TextBlockType::List,
+                    "table" => TextBlockType::Table,
+                    _ => TextBlockType::Text,
+                },
+            })
+            .collect();
+
+        let mut result = OcrResult::from_blocks(blocks, "Local".to_string(), 0);
+
+        // 添加元数据
+        if let Some(engine_info) = plugin_result.engine {
+            result.metadata.insert("engine".to_string(), engine_info);
+        }
+        if let Some(lang) = plugin_result.language {
+            result.metadata.insert("language".to_string(), lang);
+        }
+
+        let duration = start.elapsed().as_millis() as u64;
+        result.duration_ms = duration;
+
+        if let Some(callback) = &progress_callback {
+            (callback)(OcrProgress::Completed(result.clone()));
+        }
+
+        Ok(result)
+    }
+
+    /// 调用本地插件
+    fn call_plugin(&self, image_path: &Path) -> Result<String> {
+        let output = Command::new(&self.plugin_path)
+            .arg("recognize")
+            .arg(image_path)
+            .output()
+            .context("执行本地 OCR 插件失败")?;
+
+        if !output.status.success() {
+            let stderr = String::from_utf8_lossy(&output.stderr);
+            return Err(anyhow::anyhow!("插件执行失败: {}", stderr));
+        }
+
+        Ok(String::from_utf8_lossy(&output.stdout).to_string())
+    }
+
+    /// 检查插件是否可用
+    pub fn is_available(&self) -> bool {
+        self.plugin_path.exists()
+    }
+
+    /// 获取插件版本信息
+    pub fn get_version(&self) -> Result<String> {
+        let output = Command::new(&self.plugin_path)
+            .arg("version")
+            .output()
+            .context("获取插件版本失败")?;
+
+        if output.status.success() {
+            Ok(String::from_utf8_lossy(&output.stdout).trim().to_string())
+        } else {
+            Ok("unknown".to_string())
+        }
+    }
+}
+
+/// 本地 OCR 插件响应
+#[derive(Debug, Deserialize, Serialize)]
+struct LocalOcrResponse {
+    /// 是否成功
+    success: bool,
+    /// 错误信息
+    error: Option<String>,
+    /// OCR 引擎信息
+    engine: Option<String>,
+    /// 识别语言
+    language: Option<String>,
+    /// 文本块列表
+    blocks: Vec<LocalOcrBlock>,
+}
+
+/// 本地 OCR 文本块
+#[derive(Debug, Deserialize, Serialize)]
+struct LocalOcrBlock {
+    /// 文本内容
+    text: String,
+    /// 置信度 (0-100)
+    confidence: f32,
+    /// 边界框 X 坐标
+    bbox_x: u32,
+    /// 边界框 Y 坐标
+    bbox_y: u32,
+    /// 边界框宽度
+    bbox_width: u32,
+    /// 边界框高度
+    bbox_height: u32,
+    /// 文本块类型
+    block_type: String,
+}

src-tauri/src/ocr/mod.rs

@@ -0,0 +1,82 @@
+pub mod cloud;
+pub mod local;
+pub mod result;
+
+pub use cloud::{CloudOcrProvider, CloudOcrRequest};
+pub use result::OcrResult;
+pub use local::LocalOcrPlugin;
+
+use serde::{Deserialize, Serialize};
+use std::path::PathBuf;
+
+/// OCR 引擎类型
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
+#[serde(rename_all = "snake_case")]
+pub enum OcrEngineType {
+    /// 百度 OCR
+    Baidu,
+    /// 腾讯云 OCR
+    Tencent,
+    /// 本地插件 OCR
+    Local,
+}
+
+/// OCR 配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct OcrConfig {
+    /// 选择的 OCR 引擎
+    pub engine: OcrEngineType,
+    /// 百度 API 配置
+    pub baidu: Option<BaiduOcrConfig>,
+    /// 腾讯云 API 配置
+    pub tencent: Option<TencentOcrConfig>,
+    /// 本地插件配置
+    pub local: Option<LocalOcrConfig>,
+}
+
+/// 百度 OCR 配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BaiduOcrConfig {
+    /// API Key
+    pub api_key: String,
+    /// Secret Key
+    pub secret_key: String,
+    /// 是否使用通用文字识别（高精度版）
+    pub accurate: bool,
+}
+
+/// 腾讯云 OCR 配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TencentOcrConfig {
+    /// Secret ID
+    pub secret_id: String,
+    /// Secret Key
+    pub secret_key: String,
+    /// 地域
+    pub region: String,
+}
+
+/// 本地 OCR 插件配置
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct LocalOcrConfig {
+    /// 插件可执行文件路径
+    pub plugin_path: PathBuf,
+    /// 语言模型路径
+    pub model_path: Option<PathBuf>,
+}
+
+/// OCR 进度回调
+pub type OcrProgressCallback = Box<dyn Fn(OcrProgress) + Send + Sync>;
+
+/// OCR 进度信息
+#[derive(Debug, Clone)]
+pub enum OcrProgress {
+    /// 开始识别
+    Starting,
+    /// 处理中
+    Processing { progress: f32, message: String },
+    /// 识别完成
+    Completed(OcrResult),
+    /// 识别失败
+    Failed { error: String },
+}

src-tauri/src/ocr/result.rs

@@ -0,0 +1,167 @@
+use serde::{Deserialize, Serialize};
+use std::collections::HashMap;
+
+/// OCR 识别结果
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct OcrResult {
+    /// 识别的完整文本
+    pub text: String,
+    /// 识别的文本块列表
+    pub blocks: Vec<TextBlock>,
+    /// 识别置信度 (0-100)
+    pub confidence: f32,
+    /// 耗时（毫秒）
+    pub duration_ms: u64,
+    /// 使用的 OCR 引擎
+    pub engine: String,
+    /// 额外信息
+    pub metadata: HashMap<String, String>,
+}
+
+/// 文本块
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextBlock {
+    /// 文本内容
+    pub text: String,
+    /// 置信度 (0-100)
+    pub confidence: f32,
+    /// 边界框（像素坐标）
+    pub bbox: BoundingBox,
+    /// 文本块类型
+    pub block_type: TextBlockType,
+}
+
+/// 边界框
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BoundingBox {
+    /// 左上角 X 坐标
+    pub x: u32,
+    /// 左上角 Y 坐标
+    pub y: u32,
+    /// 宽度
+    pub width: u32,
+    /// 高度
+    pub height: u32,
+}
+
+/// 文本块类型
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
+#[serde(rename_all = "snake_case")]
+pub enum TextBlockType {
+    /// 文本
+    Text,
+    /// 标题
+    Title,
+    /// 列表
+    List,
+    /// 表格
+    Table,
+    /// 其他
+    Other,
+}
+
+impl OcrResult {
+    /// 创建空的 OCR 结果
+    pub fn empty() -> Self {
+        Self {
+            text: String::new(),
+            blocks: Vec::new(),
+            confidence: 0.0,
+            duration_ms: 0,
+            engine: String::new(),
+            metadata: HashMap::new(),
+        }
+    }
+
+    /// 从文本块列表构建结果
+    pub fn from_blocks(
+        blocks: Vec<TextBlock>,
+        engine: String,
+        duration_ms: u64,
+    ) -> Self {
+        let text = blocks
+            .iter()
+            .map(|b| b.text.as_str())
+            .collect::<Vec<&str>>()
+            .join("\n");
+
+        let confidence = if blocks.is_empty() {
+            0.0
+        } else {
+            blocks.iter().map(|b| b.confidence).sum::<f32>() / blocks.len() as f32
+        };
+
+        Self {
+            text,
+            blocks,
+            confidence,
+            duration_ms,
+            engine,
+            metadata: HashMap::new(),
+        }
+    }
+
+    /// 搜索包含关键词的文本块
+    pub fn search(&self, keyword: &str) -> Vec<&TextBlock> {
+        let keyword_lower = keyword.to_lowercase();
+        self.blocks
+            .iter()
+            .filter(|block| block.text.to_lowercase().contains(&keyword_lower))
+            .collect()
+    }
+
+    /// 导出为纯文本
+    pub fn to_plain_text(&self) -> String {
+        self.text.clone()
+    }
+
+    /// 导出为 Markdown 格式
+    pub fn to_markdown(&self) -> String {
+        let mut md = String::new();
+
+        for block in &self.blocks {
+            match block.block_type {
+                TextBlockType::Title => {
+                    md.push_str(&format!("## {}\n\n", block.text));
+                }
+                TextBlockType::List => {
+                    md.push_str(&format!("- {}\n", block.text));
+                }
+                TextBlockType::Table => {
+                    md.push_str(&format!("| {}\n", block.text));
+                }
+                _ => {
+                    md.push_str(&format!("{}\n", block.text));
+                }
+            }
+        }
+
+        md
+    }
+
+    /// 获取高亮显示的 HTML
+    pub fn to_html_highlighted(&self, keyword: &str) -> String {
+        let mut html = String::from("<div class='ocr-result'>");
+
+        for block in &self.blocks {
+            let text = if !keyword.is_empty()
+                && block.text.to_lowercase().contains(&keyword.to_lowercase())
+            {
+                block.text.replace(
+                    &keyword.to_lowercase(),
+                    &format!("<mark>{}</mark>", keyword),
+                )
+            } else {
+                block.text.clone()
+            };
+
+            html.push_str(&format!(
+                "<p class='ocr-block' style='position: absolute; left: {}px; top: {}px;'>{}</p>",
+                block.bbox.x, block.bbox.y, text
+            ));
+        }
+
+        html.push_str("</div>");
+        html
+    }
+}

src-tauri/src/plugin/mod.rs

@@ -0,0 +1,432 @@
+use anyhow::{Context, Result};
+use reqwest::Client;
+use serde::{Deserialize, Serialize};
+use sha2::{Digest, Sha256};
+use std::collections::HashMap;
+use std::fs;
+use std::path::{Path, PathBuf};
+use std::time::{Duration, SystemTime};
+use tokio::io::AsyncWriteExt;
+use tokio::sync::mpsc;
+
+/// 插件元数据
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct PluginMetadata {
+    /// 插件 ID
+    pub id: String,
+    /// 插件名称
+    pub name: String,
+    /// 插件描述
+    pub description: String,
+    /// 插件版本
+    pub version: String,
+    /// 插件作者
+    pub author: String,
+    /// 插件类型
+    pub plugin_type: PluginType,
+    /// 下载 URL
+    pub download_url: String,
+    /// SHA256 校验和
+    pub sha256: String,
+    /// 文件大小（字节）
+    pub file_size: u64,
+    /// 最低兼容版本
+    pub min_app_version: String,
+    /// 主页 URL
+    pub homepage_url: Option<String>,
+    /// 图标 URL
+    pub icon_url: Option<String>,
+    /// 依赖项
+    pub dependencies: Vec<String>,
+    /// 发布日期
+    pub published_at: String,
+    /// 许可证
+    pub license: String,
+}
+
+/// 插件类型
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
+#[serde(rename_all = "snake_case")]
+pub enum PluginType {
+    /// OCR 插件
+    Ocr,
+    /// 图床插件
+    ImageHost,
+    /// 其他
+    Other,
+}
+
+/// 插件状态
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct PluginStatus {
+    /// 插件元数据
+    pub metadata: PluginMetadata,
+    /// 是否已安装
+    pub installed: bool,
+    /// 安装路径
+    pub install_path: Option<PathBuf>,
+    /// 是否有更新
+    pub has_update: bool,
+    /// 安装时间
+    pub installed_at: Option<String>,
+}
+
+/// 插件管理器
+pub struct PluginManager {
+    client: Client,
+    config_dir: PathBuf,
+    plugins_dir: PathBuf,
+    registry_url: String,
+}
+
+impl PluginManager {
+    /// 创建新的插件管理器
+    pub fn new(config_dir: PathBuf) -> Self {
+        let plugins_dir = config_dir.join("plugins");
+        fs::create_dir_all(&plugins_dir)
+            .expect("Failed to create plugins directory");
+
+        Self {
+            client: Client::builder()
+                .timeout(Duration::from_secs(30))
+                .build()
+                .unwrap(),
+            config_dir,
+            plugins_dir,
+            registry_url: "https://raw.githubusercontent.com/cutthenthink/plugins/main".to_string(),
+        }
+    }
+
+    /// 获取远程插件列表
+    pub async fn fetch_remote_plugins(&self) -> Result<Vec<PluginMetadata>> {
+        let url = format!("{}/plugins.json", self.registry_url);
+
+        let response = self
+            .client
+            .get(&url)
+            .send()
+            .await
+            .context("Failed to fetch plugins list")?;
+
+        if !response.status().is_success() {
+            return Err(anyhow::anyhow!("Failed to fetch plugins: HTTP {}", response.status()));
+        }
+
+        let plugins: Vec<PluginMetadata> = response.json().await?;
+        Ok(plugins)
+    }
+
+    /// 获取插件状态列表
+    pub async fn get_plugin_status(&self) -> Result<Vec<PluginStatus>> {
+        let remote_plugins = self.fetch_remote_plugins().await?;
+        let installed_plugins = self.get_installed_plugins()?;
+
+        let mut status_list = Vec::new();
+
+        for remote_plugin in remote_plugins {
+            let installed = installed_plugins.get(&remote_plugin.id);
+
+            let has_update = if let Some(installed) = installed {
+                installed.version != remote_plugin.version
+            } else {
+                false
+            };
+
+            status_list.push(PluginStatus {
+                metadata: remote_plugin.clone(),
+                installed: installed.is_some(),
+                install_path: installed.and_then(|p| Some(p.install_path.clone()?)),
+                has_update,
+                installed_at: installed.and_then(|p| p.installed_at.clone()),
+            });
+        }
+
+        Ok(status_list)
+    }
+
+    /// 下载并安装插件
+    pub async fn install_plugin(
+        &self,
+        plugin_id: &str,
+        progress_callback: mpsc::Sender<InstallProgress>,
+    ) -> Result<PathBuf> {
+        // 获取远程插件信息
+        let plugins = self.fetch_remote_plugins().await?;
+        let plugin = plugins
+            .iter()
+            .find(|p| p.id == plugin_id)
+            .ok_or_else(|| anyhow::anyhow!("Plugin not found: {}", plugin_id))?;
+
+        // 发送开始事件
+        let _ = progress_callback
+            .send(InstallProgress::Starting {
+                plugin_name: plugin.name.clone(),
+                file_size: plugin.file_size,
+            })
+            .await;
+
+        // 下载文件
+        let download_path = self
+            .download_plugin(plugin, progress_callback.clone())
+            .await?;
+
+        // 验证 SHA256
+        let _ = progress_callback
+            .send(InstallProgress::Verifying {
+                plugin_name: plugin.name.clone(),
+            })
+            .await;
+
+        self.verify_checksum(&download_path, &plugin.sha256)?;
+
+        // 解压/安装
+        let _ = progress_callback
+            .send(InstallProgress::Installing {
+                plugin_name: plugin.name.clone(),
+            })
+            .await;
+
+        let install_path = self.install_plugin_file(plugin, &download_path).await?;
+
+        // 保存安装记录
+        self.save_install_record(plugin, &install_path)?;
+
+        // 清理下载文件
+        let _ = fs::remove_file(&download_path);
+
+        // 发送完成事件
+        let _ = progress_callback
+            .send(InstallProgress::Completed {
+                plugin_id: plugin.id.clone(),
+                install_path: install_path.clone(),
+            })
+            .await;
+
+        Ok(install_path)
+    }
+
+    /// 卸载插件
+    pub fn uninstall_plugin(&self, plugin_id: &str) -> Result<()> {
+        let install_path = self.plugins_dir.join(plugin_id);
+
+        if install_path.exists() {
+            fs::remove_dir_all(&install_path)
+                .context("Failed to remove plugin directory")?;
+        }
+
+        // 删除安装记录
+        let record_path = self.get_install_record_path(plugin_id);
+        if record_path.exists() {
+            fs::remove_file(&record_path)?;
+        }
+
+        log::info!("Uninstalled plugin: {}", plugin_id);
+        Ok(())
+    }
+
+    /// 下载插件文件
+    async fn download_plugin(
+        &self,
+        plugin: &PluginMetadata,
+        mut progress_callback: mpsc::Sender<InstallProgress>,
+    ) -> Result<PathBuf> {
+        let response = self
+            .client
+            .get(&plugin.download_url)
+            .send()
+            .await
+            .context("Failed to download plugin")?;
+
+        if !response.status().is_success() {
+            return Err(anyhow::anyhow!("Download failed: HTTP {}", response.status()));
+        }
+
+        let total_size = response.content_length().unwrap_or(plugin.file_size);
+        let download_path = self.config_dir.join("downloads").join(format!("{}.zip", &plugin.id));
+
+        fs::create_dir_all(download_path.parent().unwrap())?;
+
+        let mut file = tokio::fs::File::create(&download_path).await?;
+        let mut downloaded = 0u64;
+        let mut stream = response.bytes_stream();
+
+        use futures_util::StreamExt;
+        while let Some(chunk) = stream.next().await {
+            let chunk = chunk.context("Failed to read download chunk")?;
+            file.write_all(&chunk).await?;
+            downloaded += chunk.len() as u64;
+
+            let progress = (downloaded as f64 / total_size as f64) * 100.0;
+            let _ = progress_callback
+                .send(InstallProgress::Downloading {
+                    plugin_name: plugin.name.clone(),
+                    progress,
+                    downloaded,
+                    total_size,
+                })
+                .await;
+        }
+
+        file.flush().await?;
+
+        Ok(download_path)
+    }
+
+    /// 验证文件校验和
+    fn verify_checksum(&self, file_path: &Path, expected_sha256: &str) -> Result<()> {
+        let content = fs::read(file_path)?;
+        let hash = Sha256::digest(&content);
+        let calculated_sha256 = hex::encode(hash);
+
+        if calculated_sha256 != expected_sha256.to_lowercase() {
+            fs::remove_file(file_path)?;
+            return Err(anyhow::anyhow!(
+                "Checksum verification failed. Expected: {}, Got: {}",
+                expected_sha256,
+                calculated_sha256
+            ));
+        }
+
+        Ok(())
+    }
+
+    /// 安装插件文件
+    async fn install_plugin_file(
+        &self,
+        plugin: &PluginMetadata,
+        download_path: &Path,
+    ) -> Result<PathBuf> {
+        let install_dir = self.plugins_dir.join(&plugin.id);
+
+        // 如果已存在，先删除
+        if install_dir.exists() {
+            fs::remove_dir_all(&install_dir)?;
+        }
+
+        fs::create_dir_all(&install_dir)?;
+
+        // 对于本地 OCR 插件，直接复制可执行文件
+        if plugin.plugin_type == PluginType::Ocr {
+            let exe_name = if cfg!(windows) {
+                format!("{}.exe", plugin.id)
+            } else {
+                plugin.id.clone()
+            };
+
+            let exe_path = install_dir.join(&exe_name);
+            fs::copy(download_path, &exe_path)?;
+
+            // 设置可执行权限
+            #[cfg(unix)]
+            {
+                use std::os::unix::fs::PermissionsExt;
+                let mut perms = fs::metadata(&exe_path)?.permissions();
+                perms.set_mode(0o755);
+                fs::set_permissions(&exe_path, perms)?;
+            }
+
+            Ok(exe_path)
+        } else {
+            // 其他类型需要解压
+            Ok(install_dir)
+        }
+    }
+
+    /// 保存安装记录
+    fn save_install_record(&self, plugin: &PluginMetadata, install_path: &Path) -> Result<()> {
+        let record = InstallRecord {
+            plugin_id: plugin.id.clone(),
+            version: plugin.version.clone(),
+            install_path: install_path.clone(),
+            installed_at: SystemTime::now()
+                .duration_since(SystemTime::UNIX_EPOCH)?
+                .as_secs(),
+        };
+
+        let record_path = self.get_install_record_path(&plugin.id);
+        let content = serde_json::to_string_pretty(&record)?;
+        fs::write(&record_path, content)?;
+
+        Ok(())
+    }
+
+    /// 获取安装记录路径
+    fn get_install_record_path(&self, plugin_id: &str) -> PathBuf {
+        self.config_dir.join(format!("plugin_{}.json", plugin_id))
+    }
+
+    /// 获取已安装的插件
+    fn get_installed_plugins(&self) -> Result<HashMap<String, InstallRecord>> {
+        let mut plugins = HashMap::new();
+
+        for entry in fs::read_dir(&self.config_dir)? {
+            let entry = entry?;
+            let path = entry.path();
+
+            if path.extension().and_then(|s| s.to_str()) == Some("json")
+                && path.file_name()
+                    .and_then(|s| s.to_str())
+                    .map(|s| s.starts_with("plugin_"))
+                    == Some(true)
+            {
+                if let Ok(content) = fs::read_to_string(&path) {
+                    if let Ok(record) = serde_json::from_str::<InstallRecord>(&content) {
+                        plugins.insert(record.plugin_id.clone(), record);
+                    }
+                }
+            }
+        }
+
+        Ok(plugins)
+    }
+
+    /// 检查插件更新
+    pub async fn check_updates(&self) -> Result<Vec<String>> {
+        let status_list = self.get_plugin_status().await?;
+        let updates: Vec<String> = status_list
+            .into_iter()
+            .filter(|s| s.has_update)
+            .map(|s| s.metadata.id)
+            .collect();
+
+        Ok(updates)
+    }
+}
+
+/// 安装记录
+#[derive(Debug, Clone, Serialize, Deserialize)]
+struct InstallRecord {
+    plugin_id: String,
+    version: String,
+    install_path: PathBuf,
+    installed_at: u64,
+}
+
+/// 安装进度
+#[derive(Debug, Clone)]
+pub enum InstallProgress {
+    Starting {
+        plugin_name: String,
+        file_size: u64,
+    },
+    Downloading {
+        plugin_name: String,
+        progress: f64,
+        downloaded: u64,
+        total_size: u64,
+    },
+    Verifying {
+        plugin_name: String,
+    },
+    Installing {
+        plugin_name: String,
+    },
+    Completed {
+        plugin_id: String,
+        install_path: PathBuf,
+    },
+    Failed {
+        plugin_id: String,
+        error: String,
+    },
+}

src-tauri/src/screenshot.rs

@@ -0,0 +1,308 @@
+use anyhow::Result;
+use arboard::Clipboard;
+use chrono::Utc;
+use image::{DynamicImage, ImageFormat};
+use screenshots::Screen;
+use serde::{Deserialize, Serialize};
+use std::fs;
+use std::path::{Path, PathBuf};
+use std::io::Cursor;
+
+/// 截图元数据
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ScreenshotMetadata {
+    pub id: String,
+    pub filename: String,
+    pub filepath: PathBuf,
+    pub width: u32,
+    pub height: u32,
+    pub file_size: u64,
+    pub created_at: String,
+    pub thumbnail_base64: Option<String>,
+}
+
+/// 截图区域选择参数
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RegionSelection {
+    pub x: i32,
+    pub y: i32,
+    pub width: u32,
+    pub height: u32,
+}
+
+/// 截图管理器
+pub struct ScreenshotManager {
+    base_dir: PathBuf,
+    screenshots_dir: PathBuf,
+    thumbnails_dir: PathBuf,
+}
+
+impl ScreenshotManager {
+    /// 创建新的截图管理器
+    pub fn new(base_dir: PathBuf) -> Result<Self> {
+        let screenshots_dir = base_dir.join("screenshots");
+        let thumbnails_dir = base_dir.join("thumbnails");
+
+        // 创建目录
+        fs::create_dir_all(&screenshots_dir)?;
+        fs::create_dir_all(&thumbnails_dir)?;
+
+        Ok(Self {
+            base_dir,
+            screenshots_dir,
+            thumbnails_dir,
+        })
+    }
+
+    /// 使用默认目录创建截图管理器
+    pub fn with_default_dir() -> Result<Self> {
+        let home_dir = dirs::home_dir().unwrap_or_else(|| PathBuf::from("."));
+        let app_data_dir = home_dir.join(".cutthink-lite");
+        Self::new(app_data_dir)
+    }
+
+    /// 生成时间戳文件名
+    fn generate_filename(&self) -> String {
+        let timestamp = Utc::now().format("%Y%m%d_%H%M%S_%3f");
+        format!("screenshot_{}.png", timestamp)
+    }
+
+    /// 生成唯一 ID
+    fn generate_id(&self, filename: &str) -> String {
+        use std::hash::{Hash, Hasher};
+        use std::collections::hash_map::DefaultHasher;
+
+        let mut hasher = DefaultHasher::new();
+        filename.hash(&mut hasher);
+        format!("{:x}", hasher.finish())
+    }
+
+    /// 全屏截图
+    pub fn capture_fullscreen(&self) -> Result<ScreenshotMetadata> {
+        let screen = Screen::all()?
+            .first()
+            .ok_or_else(|| anyhow::anyhow!("No screen found"))?
+            .clone();
+
+        let image = screen.capture()?;
+        let width = image.width();
+        let height = image.height();
+
+        let filename = self.generate_filename();
+        let filepath = self.screenshots_dir.join(&filename);
+        let id = self.generate_id(&filename);
+        let created_at = Utc::now().to_rfc3339();
+
+        // 保存图片
+        image.save(&filepath)?;
+
+        // 生成缩略图
+        let thumbnail_base64 = self.generate_thumbnail(&filepath, width, height)?;
+
+        // 获取文件大小
+        let file_size = fs::metadata(&filepath)?.len();
+
+        Ok(ScreenshotMetadata {
+            id,
+            filename,
+            filepath,
+            width,
+            height,
+            file_size,
+            created_at,
+            thumbnail_base64,
+        })
+    }
+
+    /// 区域截图
+    pub fn capture_region(&self, region: RegionSelection) -> Result<ScreenshotMetadata> {
+        let screen = Screen::all()?
+            .first()
+            .ok_or_else(|| anyhow::anyhow!("No screen found"))?
+            .clone();
+
+        let full_image = screen.capture()?;
+
+        // 确保区域在屏幕范围内
+        let x = region.x.max(0);
+        let y = region.y.max(0);
+        let width = region.width.min(full_image.width() as u32 - x as u32);
+        let height = region.height.min(full_image.height() as u32 - y as u32);
+
+        // 裁剪区域
+        let image_buffer = full_image.buffer();
+        let cropped_image = image::imageops::crop(
+            image_buffer,
+            x as u32,
+            y as u32,
+            width,
+            height,
+        ).to_image();
+
+        let dynamic_image = DynamicImage::ImageRgba8(cropped_image);
+        let width = dynamic_image.width();
+        let height = dynamic_image.height();
+
+        let filename = self.generate_filename();
+        let filepath = self.screenshots_dir.join(&filename);
+        let id = self.generate_id(&filename);
+        let created_at = Utc::now().to_rfc3339();
+
+        // 保存图片
+        dynamic_image.save(&filepath)?;
+
+        // 生成缩略图
+        let thumbnail_base64 = self.generate_thumbnail(&filepath, width, height)?;
+
+        // 获取文件大小
+        let file_size = fs::metadata(&filepath)?.len();
+
+        Ok(ScreenshotMetadata {
+            id,
+            filename,
+            filepath,
+            width,
+            height,
+            file_size,
+            created_at,
+            thumbnail_base64,
+        })
+    }
+
+    /// 生成缩略图并转换为 base64
+    fn generate_thumbnail(&self, filepath: &Path, width: u32, height: u32) -> Result<Option<String>> {
+        const THUMBNAIL_MAX_SIZE: u32 = 200;
+
+        // 如果图片已经很小，直接使用原图
+        if width <= THUMBNAIL_MAX_SIZE && height <= THUMBNAIL_MAX_SIZE {
+            return Ok(None);
+        }
+
+        // 计算缩略图尺寸（保持宽高比）
+        let scale = THUMBNAIL_MAX_SIZE as f32 / width.max(height) as f32;
+        let new_width = (width as f32 * scale) as u32;
+        let new_height = (height as f32 * scale) as u32;
+
+        // 加载并缩放图片
+        let img = image::open(filepath)?;
+        let thumbnail = image::imageops::thumbnail(&img, new_width, new_height);
+
+        // 转换为 base64
+        let mut buffer = Cursor::new(Vec::new());
+        thumbnail.write_to(&mut buffer, ImageFormat::Png)?;
+        let base64_string = base64::encode(&buffer.into_inner());
+
+        Ok(Some(format!("data:image/png;base64,{}", base64_string)))
+    }
+
+    /// 复制图片到剪贴板
+    pub fn copy_to_clipboard(&self, filepath: &Path) -> Result<()> {
+        let img = image::open(filepath)?;
+        let rgba = img.to_rgba8();
+
+        // 构建 PNG 格式数据
+        let mut buffer = Cursor::new(Vec::new());
+        rgba.write_to(&mut buffer, ImageFormat::Png)?;
+        let png_data = buffer.into_inner();
+
+        // 复制到剪贴板
+        let mut clipboard = Clipboard::new()?;
+
+        // 注意：arboard 的图片支持可能有限，这里提供基础实现
+        // 如果不工作，可能需要使用平台特定的剪贴板 API
+        #[cfg(target_os = "windows")]
+        {
+            clipboard.set_image(arboard::ImageData {
+                width: rgba.width() as usize,
+                height: rgba.height() as usize,
+                bytes: rgba.as_raw().into(),
+            })?;
+        }
+
+        #[cfg(not(target_os = "windows"))]
+        {
+            // 对于非 Windows 平台，先尝试复制文件路径作为后备
+            clipboard.set_text(filepath.to_string_lossy().to_string())?;
+        }
+
+        Ok(())
+    }
+
+    /// 删除截图
+    pub fn delete_screenshot(&self, filepath: &Path) -> Result<()> {
+        if filepath.exists() {
+            fs::remove_file(filepath)?;
+        }
+        Ok(())
+    }
+
+    /// 获取所有截图
+    pub fn list_screenshots(&self) -> Result<Vec<ScreenshotMetadata>> {
+        let mut screenshots = Vec::new();
+
+        let entries = fs::read_dir(&self.screenshots_dir)?;
+
+        for entry in entries {
+            let entry = entry?;
+            let path = entry.path();
+
+            if path.extension().and_then(|s| s.to_str()) == Some("png") {
+                if let Ok(metadata) = fs::metadata(&path) {
+                    if let Ok(img) = image::open(&path) {
+                        let filename = path.file_name()
+                            .and_then(|n| n.to_str())
+                            .unwrap_or("unknown.png")
+                            .to_string();
+
+                        let id = self.generate_id(&filename);
+                        let created_at = metadata.created()
+                            .ok()
+                            .and_then(|t| t.duration_since(std::time::UNIX_EPOCH).ok())
+                            .map(|d| {
+                                let datetime: chrono::DateTime<Utc> = DateTime::from(d);
+                                datetime.to_rfc3339()
+                            })
+                            .unwrap_or_else(|| Utc::now().to_rfc3339());
+
+                        let thumbnail_base64 = self.generate_thumbnail(&path, img.width(), img.height())?;
+
+                        screenshots.push(ScreenshotMetadata {
+                            id,
+                            filename,
+                            filepath: path,
+                            width: img.width(),
+                            height: img.height(),
+                            file_size: metadata.len(),
+                            created_at,
+                            thumbnail_base64,
+                        });
+                    }
+                }
+            }
+        }
+
+        // 按创建时间排序（最新的在前）
+        screenshots.sort_by(|a, b| b.created_at.cmp(&a.created_at));
+
+        Ok(screenshots)
+    }
+
+    /// 清理旧截图（保留最近 N 个）
+    pub fn cleanup_old_screenshots(&self, keep_count: usize) -> Result<usize> {
+        let mut screenshots = self.list_screenshots()?;
+        let deleted_count = if screenshots.len() > keep_count {
+            screenshots.truncate(keep_count);
+            let to_delete = &screenshots[keep_count..];
+            for screenshot in to_delete {
+                let _ = self.delete_screenshot(&screenshot.filepath);
+            }
+            to_delete.len()
+        } else {
+            0
+        };
+
+        Ok(deleted_count)
+    }
+}
+
+use chrono::DateTime;

src-tauri/src/secure_storage.rs

@@ -0,0 +1,226 @@
+use aes_gcm::{
+    aead::{Aead, AeadCore, KeyInit, OsRng},
+    Aes256Gcm, Nonce,
+};
+use anyhow::{anyhow, Context, Result};
+use rand::RngCore;
+use serde::{Deserialize, Serialize};
+use sha2::{Digest, Sha256};
+use std::fs;
+use std::path::{Path, PathBuf};
+
+/// 安全存储管理器
+pub struct SecureStorage {
+    storage_path: PathBuf,
+    key: [u8; 32],
+}
+
+impl SecureStorage {
+    /// 创建新的安全存储
+    pub fn new(storage_path: PathBuf, password: &str) -> Result<Self> {
+        // 从密码派生加密密钥
+        let key = Self::derive_key(password);
+
+        // 确保存储目录存在
+        if let Some(parent) = storage_path.parent() {
+            fs::create_dir_all(parent)
+                .context("Failed to create storage directory")?;
+        }
+
+        Ok(Self { storage_path, key })
+    }
+
+    /// 从密码派生密钥
+    fn derive_key(password: &str) -> [u8; 32] {
+        let mut key = [0u8; 32];
+
+        // 使用 PBKDF2 的简化版本（使用 SHA256 多次哈希）
+        let mut hash = Sha256::digest(password.as_bytes());
+        for _ in 0..10000 {
+            hash = Sha256::digest(&hash);
+        }
+
+        key.copy_from_slice(&hash[..32]);
+        key
+    }
+
+    /// 保存敏感数据
+    pub fn save(&self, key: &str, value: &str) -> Result<()> {
+        // 加载现有数据
+        let mut data = self.load_data().unwrap_or_default();
+
+        // 加密值
+        let encrypted = self.encrypt(value)?;
+
+        // 更新数据
+        data.insert(key.to_string(), EncryptedValue {
+            ciphertext: hex::encode(encrypted.0),
+            nonce: hex::encode(encrypted.1),
+        });
+
+        // 保存到文件
+        self.save_data(&data)?;
+
+        log::info!("Saved encrypted value for key: {}", key);
+        Ok(())
+    }
+
+    /// 获取敏感数据
+    pub fn get(&self, key: &str) -> Result<Option<String>> {
+        let data = self.load_data()?;
+
+        if let Some(encrypted) = data.get(key) {
+            let ciphertext = hex::decode(&encrypted.ciphertext)
+                .context("Failed to decode ciphertext")?;
+            let nonce = hex::decode(&encrypted.nonce)
+                .context("Failed to decode nonce")?;
+
+            let nonce = Nonce::from_slice(&nonce);
+            let cipher = Aes256Gcm::new(&self.key.into());
+
+            let plaintext = cipher
+                .decrypt(nonce, ciphertext.as_ref())
+                .map_err(|_| anyhow!("Decryption failed - wrong password or corrupted data"))?;
+
+            Ok(Some(String::from_utf8(plaintext)?))
+        } else {
+            Ok(None)
+        }
+    }
+
+    /// 删除敏感数据
+    pub fn delete(&self, key: &str) -> Result<bool> {
+        let mut data = self.load_data()?;
+
+        if data.remove(key).is_some() {
+            self.save_data(&data)?;
+            Ok(true)
+        } else {
+            Ok(false)
+        }
+    }
+
+    /// 列出所有键
+    pub fn list_keys(&self) -> Result<Vec<String>> {
+        let data = self.load_data()?;
+        Ok(data.keys().cloned().collect())
+    }
+
+    /// 加密数据
+    fn encrypt(&self, plaintext: &str) -> Result<(Vec<u8>, [u8; 12])> {
+        let cipher = Aes256Gcm::new(&self.key.into());
+        let nonce = Aes256Gcm::generate_nonce(&mut OsRng);
+
+        let ciphertext = cipher
+            .encrypt(&nonce, plaintext.as_bytes())
+            .map_err(|_| anyhow!("Encryption failed"))?;
+
+        Ok((ciphertext, nonce.into()))
+    }
+
+    /// 加载加密数据
+    fn load_data(&self) -> Result<StorageData> {
+        if !self.storage_path.exists() {
+            return Ok(StorageData::new());
+        }
+
+        let content = fs::read_to_string(&self.storage_path)
+            .context("Failed to read storage file")?;
+
+        serde_json::from_str(&content).context("Failed to parse storage file")
+    }
+
+    /// 保存加密数据
+    fn save_data(&self, data: &StorageData) -> Result<()> {
+        let content = serde_json::to_string_pretty(data)
+            .context("Failed to serialize storage data")?;
+
+        fs::write(&self.storage_path, content)
+            .context("Failed to write storage file")?;
+
+        Ok(())
+    }
+}
+
+/// 加密值
+#[derive(Debug, Clone, Serialize, Deserialize)]
+struct EncryptedValue {
+    ciphertext: String,
+    nonce: String,
+}
+
+/// 存储数据
+type StorageData = std::collections::HashMap<String, EncryptedValue>;
+
+/// API 密钥存储
+pub struct ApiKeyStorage {
+    storage: SecureStorage,
+}
+
+impl ApiKeyStorage {
+    /// 创建新的 API 密钥存储
+    pub fn new(config_dir: &Path, password: &str) -> Result<Self> {
+        let storage_path = config_dir.join("secure_storage.json");
+        let storage = SecureStorage::new(storage_path, password)?;
+
+        Ok(Self { storage })
+    }
+
+    /// 保存百度 API 密钥
+    pub fn save_baidu_key(&self, api_key: &str, secret_key: &str) -> Result<()> {
+        self.storage.save("baidu_ocr_api_key", api_key)?;
+        self.storage.save("baidu_ocr_secret_key", secret_key)?;
+        Ok(())
+    }
+
+    /// 获取百度 API 密钥
+    pub fn get_baidu_key(&self) -> Result<(Option<String>, Option<String>)> {
+        let api_key = self.storage.get("baidu_ocr_api_key")?;
+        let secret_key = self.storage.get("baidu_ocr_secret_key")?;
+        Ok((api_key, secret_key))
+    }
+
+    /// 保存腾讯云 API 密钥
+    pub fn save_tencent_key(&self, secret_id: &str, secret_key: &str) -> Result<()> {
+        self.storage.save("tencent_ocr_secret_id", secret_id)?;
+        self.storage.save("tencent_ocr_secret_key", secret_key)?;
+        Ok(())
+    }
+
+    /// 获取腾讯云 API 密钥
+    pub fn get_tencent_key(&self) -> Result<(Option<String>, Option<String>)> {
+        let secret_id = self.storage.get("tencent_ocr_secret_id")?;
+        let secret_key = self.storage.get("tencent_ocr_secret_key")?;
+        Ok((secret_id, secret_key))
+    }
+
+    /// 删除所有密钥
+    pub fn clear_all(&self) -> Result<()> {
+        for key in self.storage.list_keys()? {
+            self.storage.delete(&key)?;
+        }
+        Ok(())
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use tempfile::tempdir;
+
+    #[test]
+    fn test_secure_storage() {
+        let dir = tempdir().unwrap();
+        let storage_path = dir.path().join("test_storage.json");
+        let storage = SecureStorage::new(storage_path, "test_password").unwrap();
+
+        // 保存和获取
+        storage.save("test_key", "test_value").unwrap();
+        let value = storage.get("test_key").unwrap().unwrap();
+        assert_eq!(value, "test_value");
+
+        // 删除
+        assert!(storage.delete("test_key").unwrap());
+        assert!(!storage.delete("test_key").unwrap());
+    }
+}

src-tauri/src/upload.rs

@@ -0,0 +1,387 @@
+use crate::config::ImageHostConfig;
+use anyhow::{anyhow, Context, Result};
+use base64::{engine::general_purpose::STANDARD as BASE64, Engine};
+use chrono::Utc;
+use reqwest::header;
+use serde::{Deserialize, Serialize};
+use std::fs;
+use std::path::{Path, PathBuf};
+use std::time::Duration;
+use tokio::time::sleep;
+
+/// 上传结果
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct UploadResult {
+    pub url: String,
+    pub delete_url: Option<String>,
+    pub image_host: String,
+    pub uploaded_at: String,
+    pub file_size: u64,
+}
+
+/// 上传进度事件
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub enum UploadProgress {
+    Starting,
+    Uploading { progress: f32, message: String },
+    Completed(UploadResult),
+    Failed { error: String },
+}
+
+/// 上传器
+pub struct Uploader {
+    retry_count: u32,
+    timeout_seconds: u64,
+}
+
+impl Uploader {
+    /// 创建新的上传器
+    pub fn new(retry_count: u32, timeout_seconds: u64) -> Self {
+        Self {
+            retry_count,
+            timeout_seconds,
+        }
+    }
+
+    /// 上传图片到指定图床
+    pub async fn upload_image(
+        &self,
+        image_path: &Path,
+        config: &ImageHostConfig,
+    ) -> Result<UploadResult> {
+        // 读取图片数据
+        let image_data = fs::read(image_path)
+            .context("Failed to read image file")?;
+        let file_size = image_data.len() as u64;
+
+        // 根据图床类型上传
+        let result = match config {
+            ImageHostConfig::GitHub { .. } => {
+                self.upload_to_github(image_path, &image_data, config).await?
+            }
+            ImageHostConfig::Imgur { .. } => {
+                self.upload_to_imgur(image_path, &image_data, config).await?
+            }
+            ImageHostConfig::Custom { .. } => {
+                self.upload_to_custom(image_path, &image_data, config).await?
+            }
+        };
+
+        Ok(result)
+    }
+
+    /// 上传到 GitHub
+    async fn upload_to_github(
+        &self,
+        image_path: &Path,
+        image_data: &[u8],
+        config: &ImageHostConfig,
+    ) -> Result<UploadResult> {
+        let (token, owner, repo, path, branch) = match config {
+            ImageHostConfig::GitHub {
+                token,
+                owner,
+                repo,
+                path,
+                branch,
+            } => (token, owner, repo, path, branch),
+            _ => return Err(anyhow!("Invalid GitHub config")),
+        };
+
+        let branch = branch.as_deref().unwrap_or("main");
+        let filename = image_path
+            .file_name()
+            .and_then(|n| n.to_str())
+            .ok_or_else(|| anyhow!("Invalid filename"))?;
+
+        let github_path = if path.is_empty() {
+            filename.to_string()
+        } else {
+            format!("{}/{}", path.trim_end_matches('/'), filename)
+        };
+
+        // Base64 编码
+        let content = BASE64.encode(image_data);
+
+        // 构建 API 请求
+        let client = reqwest::Client::builder()
+            .timeout(Duration::from_secs(self.timeout_seconds))
+            .build()?;
+
+        let url = format!(
+            "https://api.github.com/repos/{}/{}/contents/{}",
+            owner, repo, github_path
+        );
+
+        let request_body = serde_json::json!({
+            "message": format!("Upload {}", filename),
+            "content": content,
+            "branch": branch
+        });
+
+        let response = client
+            .put(&url)
+            .header(header::AUTHORIZATION, format!("Bearer {}", token))
+            .header(header::ACCEPT, "application/vnd.github.v3+json")
+            .header(header::USER_AGENT, "CutThenThink-Lite")
+            .json(&request_body)
+            .send()
+            .await
+            .context("Failed to send request to GitHub")?;
+
+        if !response.status().is_success() {
+            let error_text = response.text().await.unwrap_or_default();
+            return Err(anyhow!("GitHub API error: {}", error_text));
+        }
+
+        let response_json: serde_json::Value = response.json().await?;
+        let download_url = response_json["content"]["download_url"]
+            .as_str()
+            .ok_or_else(|| anyhow!("Missing download_url in response"))?
+            .to_string();
+
+        // 构建删除 URL（使用 SHA）
+        let sha = response_json["content"]["sha"]
+            .as_str()
+            .ok_or_else(|| anyhow!("Missing sha in response"))?;
+
+        let delete_url = Some(format!(
+            "github://{}://{}/{}?sha={}",
+            owner, repo, github_path, sha
+        ));
+
+        Ok(UploadResult {
+            url: download_url,
+            delete_url,
+            image_host: "GitHub".to_string(),
+            uploaded_at: Utc::now().to_rfc3339(),
+            file_size: image_data.len() as u64,
+        })
+    }
+
+    /// 上传到 Imgur
+    async fn upload_to_imgur(
+        &self,
+        image_path: &Path,
+        image_data: &[u8],
+        config: &ImageHostConfig,
+    ) -> Result<UploadResult> {
+        let client_id = match config {
+            ImageHostConfig::Imgur { client_id } => client_id,
+            _ => return Err(anyhow!("Invalid Imgur config")),
+        };
+
+        let client = reqwest::Client::builder()
+            .timeout(Duration::from_secs(self.timeout_seconds))
+            .build()?;
+
+        let form = reqwest::multipart::Form::new().part(
+            "image",
+            reqwest::multipart::Part::bytes(image_data.to_vec())
+                .file_name(
+                    image_path
+                        .file_name()
+                        .and_then(|n| n.to_str())
+                        .unwrap_or("image.png")
+                        .to_string(),
+                )
+                .mime_str("image/png")
+                .unwrap(),
+        );
+
+        let response = client
+            .post("https://api.imgur.com/3/image")
+            .header(header::AUTHORIZATION, format!("Client-ID {}", client_id))
+            .multipart(form)
+            .send()
+            .await
+            .context("Failed to send request to Imgur")?;
+
+        if !response.status().is_success() {
+            let error_text = response.text().await.unwrap_or_default();
+            return Err(anyhow!("Imgur API error: {}", error_text));
+        }
+
+        let response_json: serde_json::Value = response.json().await?;
+
+        if response_json["success"].as_bool() != Some(true) {
+            return Err(anyhow!("Imgur upload failed"));
+        }
+
+        let url = response_json["data"]["link"]
+            .as_str()
+            .ok_or_else(|| anyhow!("Missing link in response"))?
+            .to_string();
+
+        let delete_hash = response_json["data"]["deletehash"]
+            .as_str()
+            .map(|hash| format!("imgur://{}", hash));
+
+        Ok(UploadResult {
+            url,
+            delete_url: delete_hash,
+            image_host: "Imgur".to_string(),
+            uploaded_at: Utc::now().to_rfc3339(),
+            file_size: image_data.len() as u64,
+        })
+    }
+
+    /// 上传到自定义图床
+    async fn upload_to_custom(
+        &self,
+        image_path: &Path,
+        image_data: &[u8],
+        config: &ImageHostConfig,
+    ) -> Result<UploadResult> {
+        let (url, headers, form_field) = match config {
+            ImageHostConfig::Custom {
+                url,
+                headers,
+                form_field,
+            } => (url, headers, form_field),
+            _ => return Err(anyhow!("Invalid custom config")),
+        };
+
+        let client = reqwest::Client::builder()
+            .timeout(Duration::from_secs(self.timeout_seconds))
+            .build()?;
+
+        let field_name = form_field.as_deref().unwrap_or("file");
+
+        let mut form = reqwest::multipart::Form::new().part(
+            field_name.to_string(),
+            reqwest::multipart::Part::bytes(image_data.to_vec())
+                .file_name(
+                    image_path
+                        .file_name()
+                        .and_then(|n| n.to_str())
+                        .unwrap_or("image.png")
+                        .to_string(),
+                )
+                .mime_str("image/png")
+                .unwrap(),
+        );
+
+        let mut request = client.post(url).multipart(form);
+
+        // 添加自定义头部
+        if let Some(headers) = headers {
+            for header in headers {
+                request = request.header(&header.name, &header.value);
+            }
+        }
+
+        let response = request
+            .send()
+            .await
+            .context("Failed to send request to custom host")?;
+
+        if !response.status().is_success() {
+            let error_text = response.text().await.unwrap_or_default();
+            return Err(anyhow!("Custom host error: {}", error_text));
+        }
+
+        // 尝试解析 JSON 响应
+        let response_json: serde_json::Value = response.json().await?;
+
+        // 尝试从响应中提取 URL
+        let url = self.extract_url_from_response(&response_json)?;
+
+        Ok(UploadResult {
+            url,
+            delete_url: None,
+            image_host: "Custom".to_string(),
+            uploaded_at: Utc::now().to_rfc3339(),
+            file_size: image_data.len() as u64,
+        })
+    }
+
+    /// 从响应中提取 URL
+    fn extract_url_from_response(&self, response: &serde_json::Value) -> Result<String> {
+        // 尝试常见的响应字段
+        let url_fields = vec!["url", "link", "image_url", "data", "url"];
+
+        for field in url_fields {
+            if let Some(url_value) = response.get(field) {
+                // 如果是字符串，直接使用
+                if let Some(url_str) = url_value.as_str() {
+                    return Ok(url_str.to_string());
+                }
+                // 如果是对象，尝试获取 url 字段
+                if let Some(obj) = url_value.as_object() {
+                    if let Some(url_str) = obj.get("url").and_then(|v| v.as_str()) {
+                        return Ok(url_str.to_string());
+                    }
+                }
+            }
+        }
+
+        // 如果找不到，返回整个响应的字符串表示
+        Err(anyhow!(
+            "Could not extract URL from response: {}",
+            serde_json::to_string(response).unwrap_or_default()
+        ))
+    }
+
+    /// 上传图片（带重试）
+    pub async fn upload_with_retry(
+        &self,
+        image_path: &Path,
+        config: &ImageHostConfig,
+        mut progress_callback: impl FnMut(UploadProgress),
+    ) -> Result<UploadResult> {
+        progress_callback(UploadProgress::Starting);
+
+        let mut last_error = None;
+
+        for attempt in 0..=self.retry_count {
+            if attempt > 0 {
+                progress_callback(UploadProgress::Uploading {
+                    progress: (attempt as f32 / (self.retry_count + 1) as f32) * 100.0,
+                    message: format!("重试上传 {}/{}", attempt, self.retry_count),
+                });
+
+                // 等待一段时间再重试
+                sleep(Duration::from_secs(2)).await;
+            }
+
+            match self.upload_image(image_path, config).await {
+                Ok(result) => {
+                    progress_callback(UploadProgress::Completed(result.clone()));
+                    return Ok(result);
+                }
+                Err(e) => {
+                    last_error = Some(e);
+                }
+            }
+        }
+
+        progress_callback(UploadProgress::Failed {
+            error: last_error
+                .as_ref()
+                .map(|e| e.to_string())
+                .unwrap_or_else(|| "Unknown error".to_string()),
+        });
+
+        Err(last_error.unwrap_or_else(|| anyhow!("Upload failed")))
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[tokio::test]
+    async fn test_upload_result_serialization() {
+        let result = UploadResult {
+            url: "https://example.com/image.png".to_string(),
+            delete_url: Some("https://example.com/delete".to_string()),
+            image_host: "Test".to_string(),
+            uploaded_at: Utc::now().to_rfc3339(),
+            file_size: 1024,
+        };
+
+        let json = serde_json::to_string(&result).unwrap();
+        assert!(json.contains("url"));
+    }
+}

src-tauri/tauri.conf.json

@@ -0,0 +1,101 @@
+{
+  "$schema": "https://schema.tauri.app/config/2",
+  "productName": "CutThenThink Lite",
+  "version": "0.1.0",
+  "identifier": "com.cutthenthink.app",
+  "build": {
+    "frontendDist": "../dist",
+    "devUrl": "http://localhost:5173",
+    "beforeDevCommand": "npm run dev",
+    "beforeBuildCommand": "npm run build"
+  },
+  "app": {
+    "windows": [
+      {
+        "title": "CutThenThink Lite",
+        "width": 800,
+        "height": 600,
+        "resizable": true,
+        "fullscreen": false,
+        "minWidth": 600,
+        "minHeight": 400
+      }
+    ],
+    "security": {
+      "csp": null
+    },
+    "withGlobalTauri": true
+  },
+  "bundle": {
+    "active": true,
+    "targets": "all",
+    "icon": [
+      "icons/32x32.png",
+      "icons/128x128.png",
+      "icons/128x128@2x.png",
+      "icons/icon.icns",
+      "icons/icon.ico"
+    ],
+    "publisher": "CutThenThink",
+    "copyright": "Copyright © 2025 CutThenThink",
+    "category": "Productivity",
+    "shortDescription": "Lightweight screenshot and annotation tool",
+    "longDescription": "CutThenThink Lite is a lightweight screenshot capture and annotation tool designed for quick visual communication. Perfect for creating tutorials, reporting bugs, or sharing ideas visually.",
+    "createUpdaterArtifacts": true,
+    "linux": {
+      "deb": {
+        "depends": []
+      },
+      "appimage": {
+        "bundleMediaFramework": false
+      }
+    },
+    "macOS": {
+      "frameworks": [],
+      "minimumSystemVersion": "10.13",
+      "exceptionDomain": "",
+      "signingIdentity": null,
+      "entitlements": null,
+      "providerShortName": null,
+      "dmg": {
+        "contents": [
+          {
+            "x": 130,
+            "y": 220
+          },
+          {
+            "x": 410,
+            "y": 220,
+            "type": "link",
+            "path": "/Applications"
+          }
+        ],
+        "window": {
+          "width": 540,
+          "height": 380
+        }
+      }
+    },
+    "windows": {
+      "certificateThumbprint": null,
+      "digestAlgorithm": "sha256",
+      "timestampUrl": "",
+      "nsis": {
+        "displayLanguageSelector": false,
+        "languages": ["English", "SimpChinese"],
+        "template": false,
+        "installMode": "perMachine",
+        "allowDowngrades": true,
+        "createDesktopShortcut": true,
+        "createStartMenuShortcut": true,
+        "multiUserLauncher": false
+      },
+      "wix": {
+        "language": ["en-US", "zh-CN"]
+      },
+      "webviewInstallMode": {
+        "type": "embedBootstrapper"
+      }
+    }
+  }
+}