chore: update version to v1.3.6

Updated the funding model to include a custom sponsorship URL.

.github/FUNDING.yml

@@ -0,0 +1 @@
+custom: https://foxel.cc/sponsor.html

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,75 @@
+name: Bug Report / 缺陷报告
+description: Report reproducible defects with clear context / 请提供可复现的缺陷信息
+title: "[Bug] "
+labels:
+  - bug
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for helping us improve Foxel! / 感谢你帮助改进 Foxel！
+        Please confirm the checklist below before filing. / 在提交前请确认以下事项。
+  - type: checkboxes
+    id: validations
+    attributes:
+      label: Pre-flight Check / 提交前检查
+      options:
+        - label: I searched existing issues and docs / 我已搜索现有 Issue 与文档
+          required: true
+        - label: This is not a question or feature request / 这不是问题咨询或功能需求
+          required: true
+  - type: textarea
+    id: summary
+    attributes:
+      label: Bug Summary / 缺陷摘要
+      description: Briefly describe what is wrong / 简要说明出现了什么问题
+      placeholder: e.g. Upload fails with 500 error / 例如：上传时报 500 错误
+    validations:
+      required: true
+  - type: textarea
+    id: steps
+    attributes:
+      label: Steps to Reproduce / 复现步骤
+      description: List numbered steps to trigger the bug / 列出触发问题的步骤
+      placeholder: |
+        1. ...
+        2. ...
+        3. ...
+    validations:
+      required: true
+  - type: textarea
+    id: expected
+    attributes:
+      label: Expected Behavior / 预期行为
+      description: What should happen instead? / 期望看到什么结果？
+    validations:
+      required: true
+  - type: textarea
+    id: actual
+    attributes:
+      label: Actual Behavior / 实际行为
+      description: What actually happens? Include messages or screenshots / 实际发生了什么？可附报错或截图
+    validations:
+      required: true
+  - type: input
+    id: version
+    attributes:
+      label: Version / 版本信息
+      description: Git commit, tag, or build number / 提供 Git 提交、标签或构建号
+    validations:
+      required: false
+  - type: textarea
+    id: environment
+    attributes:
+      label: Environment / 运行环境
+      description: OS, browser, API server config, etc. / 操作系统、浏览器、服务端配置等
+    validations:
+      required: false
+  - type: textarea
+    id: logs
+    attributes:
+      label: Logs & Attachments / 日志与附件
+      description: Paste relevant logs, stack traces, screenshots / 粘贴相关日志、堆栈或截图
+      render: shell
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -0,0 +1,56 @@
+name: Feature Request / 功能需求
+description: Suggest enhancements or new capabilities / 提出改进或新增能力
+title: "[Feature] "
+labels:
+  - enhancement
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Tell us about your idea! / 欢迎分享你的想法！
+        Please complete the sections below so we can evaluate it quickly. / 请完整填写以下信息，便于快速评估。
+  - type: checkboxes
+    id: prechecks
+    attributes:
+      label: Pre-flight Check / 提交前检查
+      options:
+        - label: I searched existing issues and roadmap / 我已搜索现有 Issue 与路线图
+          required: true
+        - label: This is not a bug report or question / 这不是缺陷或问题咨询
+          required: true
+  - type: textarea
+    id: summary
+    attributes:
+      label: Feature Summary / 功能概述
+      description: What do you want to build? / 希望新增什么能力？
+      placeholder: e.g. Support sharing download links / 例如：支持分享下载链接
+    validations:
+      required: true
+  - type: textarea
+    id: motivation
+    attributes:
+      label: Motivation / 背景与价值
+      description: Why is this feature important? Who benefits? / 为什么重要？受益者是谁？
+    validations:
+      required: true
+  - type: textarea
+    id: scope
+    attributes:
+      label: Proposed Solution / 建议方案
+      description: Outline how the feature might work, including API or UI hints / 描述可能的实现方式，包含 API 或 UI 提示
+    validations:
+      required: false
+  - type: textarea
+    id: alternatives
+    attributes:
+      label: Alternatives / 可选方案
+      description: List any alternatives considered / 如有考虑过其他方案请列出
+    validations:
+      required: false
+  - type: textarea
+    id: extra
+    attributes:
+      label: Additional Context / 补充信息
+      description: Diagrams, sketches, links, constraints, etc. / 可附上草图、链接或约束
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/question.yml

@@ -0,0 +1,42 @@
+name: Question / 问题咨询
+description: Ask about usage, configuration, or clarification / 用于使用、配置或澄清问题
+title: "[Question] "
+labels:
+  - question
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Need help? You're in the right place. / 需要帮助？请按以下提示填写。
+        Check the docs before filing. / 提交前请先查阅文档。
+  - type: checkboxes
+    id: prechecks
+    attributes:
+      label: Pre-flight Check / 提交前检查
+      options:
+        - label: I searched existing issues and discussions / 我已搜索现有 Issue 和讨论
+          required: true
+        - label: I read the relevant documentation / 我已阅读相关文档
+          required: true
+  - type: textarea
+    id: question
+    attributes:
+      label: Question Details / 问题详情
+      description: What do you need help with? Be specific. / 具体说明需要帮助的内容
+      placeholder: Describe the scenario, expectation, and blockers / 说明场景、期望结果与阻碍
+    validations:
+      required: true
+  - type: textarea
+    id: tried
+    attributes:
+      label: What You Tried / 已尝试方案
+      description: List commands, configs, or steps attempted / 列出尝试过的命令、配置或步骤
+    validations:
+      required: false
+  - type: textarea
+    id: context
+    attributes:
+      label: Additional Context / 补充信息
+      description: Environment details, logs, screenshots / 可补充运行环境、日志或截图
+    validations:
+      required: false

.github/workflows/docker-clean.yml

@@ -0,0 +1,51 @@
+name: Clean dangling Docker images
+
+on:
+  workflow_dispatch:
+
+jobs:
+  docker-clean:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - name: Delete untagged GHCR versions
+        shell: bash
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          set -euo pipefail
+          OWNER="${GITHUB_REPOSITORY_OWNER}"
+          PACKAGE="$(echo "${GITHUB_REPOSITORY##*/}" | tr '[:upper:]' '[:lower:]')"
+
+          OWNER_TYPE="$(gh api "/users/${OWNER}" -q '.type')"
+          if [[ "${OWNER_TYPE}" == "Organization" ]]; then
+            SCOPE="orgs/${OWNER}"
+          else
+            SCOPE="users/${OWNER}"
+          fi
+
+          BASE_PATH="/${SCOPE}/packages/container/${PACKAGE}"
+
+          if ! gh api "${BASE_PATH}" >/dev/null 2>&1; then
+            echo "Package ghcr.io/${OWNER}/${PACKAGE} not found or accessible. Nothing to clean."
+            exit 0
+          fi
+
+          mapfile -t VERSION_IDS < <(gh api --paginate "${BASE_PATH}/versions?per_page=100" \
+            -q '.[] | select(.metadata.container.tags | length == 0) | .id')
+
+          if [[ ${#VERSION_IDS[@]} -eq 0 ]]; then
+            echo "No untagged versions to delete."
+            exit 0
+          fi
+
+          echo "Deleting ${#VERSION_IDS[@]} untagged versions from ghcr.io/${OWNER}/${PACKAGE}..."
+          for id in "${VERSION_IDS[@]}"; do
+            gh api -X DELETE "${BASE_PATH}/versions/${id}" >/dev/null
+            echo "Deleted version ${id}"
+          done
+
+          echo "Cleanup complete."

.github/workflows/docker.yml

@@ -2,6 +2,8 @@ name: Build and Push Docker image
 
 on:
   push:
+    branches:
+      - main
     tags:
       - 'v*.*.*'
   workflow_dispatch:
@@ -48,4 +50,4 @@ jobs:
           context: .
           platforms: linux/amd64,linux/arm64
           push: true
-          tags: ${{ env.DOCKER_TAGS }}
+          tags: ${{ env.DOCKER_TAGS }}

CONTRIBUTING.md

@@ -1,76 +1,76 @@
+<div align="right">
+  <b>English</b> | <a href="./CONTRIBUTING_zh.md">简体中文</a>
+</div>
+
 # Contributing to Foxel
 
-🎉 首先，非常感谢您愿意花时间为 Foxel 做出贡献！
+We appreciate every minute you spend helping Foxel improve. This guide explains the contribution workflow so you can get started quickly.
 
-我们热烈欢迎各种形式的贡献。无论是报告 Bug、提出新功能建议、完善文档，还是直接提交代码，都将对项目产生积极的影响。
+## Table of Contents
 
-本指南将帮助您顺利地参与到项目中来。
-
-## 目录
-
-- [如何贡献](#如何贡献)
-  - [🐛 报告 Bug](#-报告-bug)
-  - [✨ 提交功能建议](#-提交功能建议)
-  - [🛠️ 贡献代码](#️-贡献代码)
-- [开发环境搭建](#开发环境搭建)
-  - [依赖准备](#依赖准备)
-  - [后端 (FastAPI)](#后端-fastapi)
-  - [前端 (React + Vite)](#前端-react--vite)
-- [代码贡献指南](#代码贡献指南)
-  - [贡献存储适配器 (Adapter)](#贡献存储适配器-adapter)
-  - [贡献前端应用 (App)](#贡献前端应用-app)
-- [提交规范](#提交规范)
-  - [Git 分支管理](#git-分支管理)
-  - [Commit Message 格式](#commit-message-格式)
-  - [Pull Request 流程](#pull-request-流程)
+- [How to Contribute](#how-to-contribute)
+  - [🐛 Report Bugs](#-report-bugs)
+  - [✨ Suggest Features](#-suggest-features)
+  - [🛠️ Contribute Code](#️-contribute-code)
+- [Development Environment](#development-environment)
+  - [Prerequisites](#prerequisites)
+  - [Backend (FastAPI)](#backend-fastapi)
+  - [Frontend (React + Vite)](#frontend-react--vite)
+- [Contribution Guidelines](#contribution-guidelines)
+  - [Storage Adapters](#storage-adapters)
+  - [Frontend Apps](#frontend-apps)
+- [Submission Rules](#submission-rules)
+  - [Git Branching](#git-branching)
+  - [Commit Message Format](#commit-message-format)
+  - [Pull Request Flow](#pull-request-flow)
 
 ---
 
-## 如何贡献
+## How to Contribute
 
-### 🐛 报告 Bug
+### 🐛 Report Bugs
 
-如果您在使用的过程中发现了 Bug，请通过 [GitHub Issues](https://github.com/DrizzleTime/Foxel/issues) 来报告。请在报告中提供以下信息：
+If you discover a bug, open a ticket via [GitHub Issues](https://github.com/DrizzleTime/Foxel/issues) and include:
 
-- **清晰的标题**：简明扼要地描述问题。
-- **复现步骤**：详细说明如何一步步重现该 Bug。
-- **期望行为** vs **实际行为**：描述您预期的结果和实际发生的情况。
-- **环境信息**：例如操作系统、浏览器版本、Foxel 版本等。
+- **A clear title** that summarises the problem.
+- **Reproduction steps** with enough detail to trigger the bug.
+- **Expected vs actual behaviour** to highlight the gap.
+- **Environment details** such as operating system, browser version, and the Foxel build you used.
 
-### ✨ 提交功能建议
+### ✨ Suggest Features
 
-我们欢迎任何关于新功能或改进的建议。请通过 [GitHub Issues](https://github.com/DrizzleTime/Foxel/issues) 创建一个 "Feature Request"，并详细阐述您的想法：
+To propose a new capability or an improvement, create an Issue and choose the "Feature Request" template. Document:
 
-- **问题描述**：说明该功能要解决什么问题。
-- **方案设想**：描述您希望该功能如何工作。
-- **相关信息**：提供任何有助于理解您想法的截图、链接或参考。
+- **Problem statement** – what pain point will the feature solve?
+- **Proposed solution** – how you expect it to work.
+- **Supporting material** – screenshots, references, or related links if helpful.
 
-### 🛠️ 贡献代码
+### 🛠️ Contribute Code
 
-如果您希望直接贡献代码，请参考下面的开发和提交流程。
+Follow the development setup below before opening a pull request. Keep changes focused and small so they are easier to review.
 
-## 开发环境搭建
+## Development Environment
 
-### 依赖准备
+### Prerequisites
 
-- **Git**: 用于版本控制。
-- **Python**: >= 3.13
-- **Bun**: 用于前端包管理和脚本运行。
+Install the following tooling first:
 
-### 后端 (FastAPI)
+- **Git** for version control
+- **Python** 3.13 or newer
+- **Bun** for frontend package management and scripts
 
-后端 API 服务基于 Python 和 FastAPI 构建。
+### Backend (FastAPI)
 
-1. **克隆仓库**
+1. **Clone the repository**
 
     ```bash
     git clone https://github.com/DrizzleTime/foxel.git
     cd Foxel
     ```
 
-2. **创建并激活 Python 虚拟环境**
+2. **Create and activate a virtual environment**
 
-    我们推荐使用 `uv` 来管理虚拟环境，以获得最佳性能。
+    `uv` is recommended for performance and reproducibility:
 
     ```bash
     uv venv
@@ -78,91 +78,85 @@
     # On Windows: .venv\Scripts\activate
     ```
 
-3. **安装依赖**
+3. **Install dependencies**
 
     ```bash
     uv sync
     ```
 
-4. **初始化环境**
+4. **Prepare local resources**
 
-    在启动服务前，请进行以下准备：
+    - Create the data directory:
 
-    - **创建数据目录**:
-      在项目根目录执行 `mkdir -p data/db`。这将创建用于存放数据库等文件的目录。
-      > [!IMPORTANT]
-      > 请确保应用拥有对 `data/db` 目录的读写权限。
+      ```bash
+      mkdir -p data/db
+      ```
 
-    - **创建 `.env` 配置文件**:
-      在项目根目录创建名为 `.env` 的文件，并填入以下内容。这些密钥用于保障应用安全，您可以按需修改。
+      Ensure the application user can read and write to `data/db`.
+
+    - Create an `.env` file in the project root and provide the required secrets. Replace the sample values with your own random strings:
 
       ```dotenv
       SECRET_KEY=EnsRhL9NFPxgFVc+7t96/y70DIOR+9SpntcIqQa90TU=
       TEMP_LINK_SECRET_KEY=EnsRhL9NFPxgFVc+7t96/y70DIOR+9SpntcIqQa90TU=
       ```
 
-5. **启动开发服务器**
+5. **Start the development server**
 
     ```bash
     uvicorn main:app --reload --host 0.0.0.0 --port 8000
     ```
 
-    API 服务将在 `http://localhost:8000` 上运行，您可以通过 `http://localhost:8000/docs` 访问自动生成的 API 文档。
+    The API is available at `http://localhost:8000`, and the interactive docs live at `http://localhost:8000/docs`.
 
-### 前端 (React + Vite)
+### Frontend (React + Vite)
 
-前端应用使用 React, Vite, 和 TypeScript 构建。
-
-1. **进入前端目录**
+1. **Enter the frontend directory**
 
     ```bash
     cd web
     ```
 
-2. **安装依赖**
+2. **Install dependencies**
 
     ```bash
     bun install
     ```
 
-3. **启动开发服务器**
+3. **Run the dev server**
 
     ```bash
     bun run dev
     ```
 
-    前端开发服务器将在 `http://localhost:5173` 运行。它已经配置了代理，会自动将 `/api` 请求转发到后端服务。
+    The Vite dev server runs at `http://localhost:5173` and proxies `/api` requests to the backend.
 
-## 代码贡献指南
+## Contribution Guidelines
 
-### 贡献存储适配器 (Adapter)
+### Storage Adapters
 
-存储适配器是 Foxel 的核心扩展点，用于接入不同的存储后端 (如 S3, FTP, Alist 等)。
+Storage adapters integrate new storage providers (for example S3, FTP, or Alist).
 
-1. **创建适配器文件**: 在 [`services/adapters/`](services/adapters/) 目录下，创建一个新文件，例如 `my_new_adapter.py`。
-2. **实现适配器类**:
-    - 创建一个类，继承自 [`services.adapters.base.BaseAdapter`](services/adapters/base.py)。
-    - 实现 `BaseAdapter` 中定义的所有抽象方法，如 `list_dir`, `get_meta`, `upload`, `download` 等。请仔细阅读基类中的文档注释以理解每个方法的作用和参数。
+1. Create a new module under [`services/adapters/`](services/adapters/) (for example `my_new_adapter.py`).
+2. Implement a class that inherits from [`services.adapters.base.BaseAdapter`](services/adapters/base.py) and provide concrete implementations for the abstract methods such as `list_dir`, `get_meta`, `upload`, and `download`.
 
-### 贡献前端应用 (App)
+### Frontend Apps
 
-前端应用允许用户在浏览器中直接预览或编辑特定类型的文件。
+Frontend apps enable in-browser previews or editors for specific file types.
 
-1. **创建应用组件**: 在 [`web/src/apps/`](web/src/apps/) 目录下，为您的应用创建一个新的文件夹，并在其中创建 React 组件。
-2. **定义应用类型**: 您的应用需要实现 [`web/src/apps/types.ts`](web/src/apps/types.ts) 中定义的 `FoxelApp` 接口。
-3. **注册应用**: 在 [`web/src/apps/registry.ts`](web/src/apps/registry.ts) 中，导入您的应用组件，并将其添加到 `APP_REGISTRY`。在注册时，您需要指定该应用可以处理的文件类型（通过 MIME Type 或文件扩展名）。
+1. Add a new folder in [`web/src/apps/`](web/src/apps/) for your app and expose a React component.
+2. Implement the `FoxelApp` interface defined in [`web/src/apps/types.ts`](web/src/apps/types.ts).
+3. Register the app in [`web/src/apps/registry.ts`](web/src/apps/registry.ts) and declare the MIME types or extensions it supports.
 
-## 提交规范
+## Submission Rules
 
-### Git 分支管理
+### Git Branching
 
-- 从最新的 `main` 分支创建您的特性分支。
+Start your work from the latest `main` branch and push feature changes on a dedicated branch.
 
-### Commit Message 格式
+### Commit Message Format
 
-我们遵循 [Conventional Commits](https://www.conventionalcommits.org/) 规范。这有助于自动化生成更新日志和版本管理。
-
-Commit Message 格式如下:
+We follow the [Conventional Commits](https://www.conventionalcommits.org/) specification to drive release tooling.
 
 ```
 <type>(<scope>): <subject>
@@ -172,27 +166,27 @@ Commit Message 格式如下:
 <footer>
 ```
 
-- **type**: `feat`, `fix`, `docs`, `style`, `refactor`, `test`, `chore` 等。
-- **scope**: (可选) 本次提交影响的范围，例如 `adapter`, `ui`, `api`。
-- **subject**: 简明扼要的描述。
+- **type**: e.g. `feat`, `fix`, `docs`, `style`, `refactor`, `test`, `chore`.
+- **scope** (optional): the area impacted by the change, such as `adapter`, `ui`, or `api`.
+- **subject**: a concise summary written in the imperative mood.
 
-**示例:**
+**Examples:**
 
 ```
-feat(adapter): Add support for Alist storage
+feat(adapter): add support for Alist storage
 ```
 
 ```
-fix(ui): Correct display issue in file list view
+fix(ui): correct display issue in file list view
 ```
 
-### Pull Request 流程
+### Pull Request Flow
 
-1. Fork 仓库并克隆到本地。
-2. 创建并切换到您的特性分支。
-3. 完成代码编写和测试。
-4. 将您的分支推送到您的 Fork 仓库。
-5. 在 Foxel 主仓库创建一个 Pull Request，目标分支为 `main`。
-6. 在 PR 描述中清晰地说明您的更改内容、目的和任何相关的 Issue 编号。
+1. Fork the repository and clone it locally.
+2. Create and switch to your feature branch.
+3. Implement the change and run relevant checks.
+4. Push the branch to your fork.
+5. Open a pull request against `main` in the Foxel repository.
+6. Explain the change set, its motivation, and reference related Issues in the PR description.
 
-项目维护者会尽快审查您的 PR。感谢您的耐心和贡献！
+Maintainers will review your pull request as soon as possible.

CONTRIBUTING_zh.md

@@ -0,0 +1,202 @@
+<div align="right">
+  <a href="./CONTRIBUTING.md">English</a> | <b>简体中文</b>
+</div>
+
+# Contributing to Foxel
+
+🎉 首先，非常感谢您愿意花时间为 Foxel 做出贡献！
+
+我们热烈欢迎各种形式的贡献。无论是报告 Bug、提出新功能建议、完善文档，还是直接提交代码，都将对项目产生积极的影响。
+
+本指南将帮助您顺利地参与到项目中来。
+
+## 目录
+
+- [如何贡献](#如何贡献)
+  - [🐛 报告 Bug](#-报告-bug)
+  - [✨ 提交功能建议](#-提交功能建议)
+  - [🛠️ 贡献代码](#️-贡献代码)
+- [开发环境搭建](#开发环境搭建)
+  - [依赖准备](#依赖准备)
+  - [后端 (FastAPI)](#后端-fastapi)
+  - [前端 (React + Vite)](#前端-react--vite)
+- [代码贡献指南](#代码贡献指南)
+  - [贡献存储适配器 (Adapter)](#贡献存储适配器-adapter)
+  - [贡献前端应用 (App)](#贡献前端应用-app)
+- [提交规范](#提交规范)
+  - [Git 分支管理](#git-分支管理)
+  - [Commit Message 格式](#commit-message-格式)
+  - [Pull Request 流程](#pull-request-流程)
+
+---
+
+## 如何贡献
+
+### 🐛 报告 Bug
+
+如果您在使用的过程中发现了 Bug，请通过 [GitHub Issues](https://github.com/DrizzleTime/Foxel/issues) 来报告。请在报告中提供以下信息：
+
+- **清晰的标题**：简明扼要地描述问题。
+- **复现步骤**：详细说明如何一步步重现该 Bug。
+- **期望行为** vs **实际行为**：描述您预期的结果和实际发生的情况。
+- **环境信息**：例如操作系统、浏览器版本、Foxel 版本等。
+
+### ✨ 提交功能建议
+
+我们欢迎任何关于新功能或改进的建议。请通过 [GitHub Issues](https://github.com/DrizzleTime/Foxel/issues) 创建一个 "Feature Request"，并详细阐述您的想法：
+
+- **问题描述**：说明该功能要解决什么问题。
+- **方案设想**：描述您希望该功能如何工作。
+- **相关信息**：提供任何有助于理解您想法的截图、链接或参考。
+
+### 🛠️ 贡献代码
+
+如果您希望直接贡献代码，请参考下面的开发和提交流程。
+
+## 开发环境搭建
+
+### 依赖准备
+
+- **Git**: 用于版本控制。
+- **Python**: >= 3.13
+- **Bun**: 用于前端包管理和脚本运行。
+
+### 后端 (FastAPI)
+
+后端 API 服务基于 Python 和 FastAPI 构建。
+
+1. **克隆仓库**
+
+    ```bash
+    git clone https://github.com/DrizzleTime/foxel.git
+    cd Foxel
+    ```
+
+2. **创建并激活 Python 虚拟环境**
+
+    我们推荐使用 `uv` 来管理虚拟环境，以获得最佳性能。
+
+    ```bash
+    uv venv
+    source .venv/bin/activate
+    # On Windows: .venv\Scripts\activate
+    ```
+
+3. **安装依赖**
+
+    ```bash
+    uv sync
+    ```
+
+4. **初始化环境**
+
+    在启动服务前，请进行以下准备：
+
+    - **创建数据目录**:
+      在项目根目录执行 `mkdir -p data/db`。这将创建用于存放数据库等文件的目录。
+      > [!IMPORTANT]
+      > 请确保应用拥有对 `data/db` 目录的读写权限。
+
+    - **创建 `.env` 配置文件**:
+      在项目根目录创建名为 `.env` 的文件，并填入以下内容。这些密钥用于保障应用安全，您可以按需修改。
+
+      ```dotenv
+      SECRET_KEY=EnsRhL9NFPxgFVc+7t96/y70DIOR+9SpntcIqQa90TU=
+      TEMP_LINK_SECRET_KEY=EnsRhL9NFPxgFVc+7t96/y70DIOR+9SpntcIqQa90TU=
+      ```
+
+5. **启动开发服务器**
+
+    ```bash
+    uvicorn main:app --reload --host 0.0.0.0 --port 8000
+    ```
+
+    API 服务将在 `http://localhost:8000` 上运行，您可以通过 `http://localhost:8000/docs` 访问自动生成的 API 文档。
+
+### 前端 (React + Vite)
+
+前端应用使用 React, Vite, 和 TypeScript 构建。
+
+1. **进入前端目录**
+
+    ```bash
+    cd web
+    ```
+
+2. **安装依赖**
+
+    ```bash
+    bun install
+    ```
+
+3. **启动开发服务器**
+
+    ```bash
+    bun run dev
+    ```
+
+    前端开发服务器将在 `http://localhost:5173` 运行。它已经配置了代理，会自动将 `/api` 请求转发到后端服务。
+
+## 代码贡献指南
+
+### 贡献存储适配器 (Adapter)
+
+存储适配器是 Foxel 的核心扩展点，用于接入不同的存储后端 (如 S3, FTP, Alist 等)。
+
+1. **创建适配器文件**: 在 [`services/adapters/`](services/adapters/) 目录下，创建一个新文件，例如 `my_new_adapter.py`。
+2. **实现适配器类**:
+    - 创建一个类，继承自 [`services.adapters.base.BaseAdapter`](services/adapters/base.py)。
+    - 实现 `BaseAdapter` 中定义的所有抽象方法，如 `list_dir`, `get_meta`, `upload`, `download` 等。请仔细阅读基类中的文档注释以理解每个方法的作用和参数。
+
+### 贡献前端应用 (App)
+
+前端应用允许用户在浏览器中直接预览或编辑特定类型的文件。
+
+1. **创建应用组件**: 在 [`web/src/apps/`](web/src/apps/) 目录下，为您的应用创建一个新的文件夹，并在其中创建 React 组件。
+2. **定义应用类型**: 您的应用需要实现 [`web/src/apps/types.ts`](web/src/apps/types.ts) 中定义的 `FoxelApp` 接口。
+3. **注册应用**: 在 [`web/src/apps/registry.ts`](web/src/apps/registry.ts) 中，导入您的应用组件，并将其添加到 `APP_REGISTRY`。在注册时，您需要指定该应用可以处理的文件类型（通过 MIME Type 或文件扩展名）。
+
+## 提交规范
+
+### Git 分支管理
+
+- 从最新的 `main` 分支创建您的特性分支。
+
+### Commit Message 格式
+
+我们遵循 [Conventional Commits](https://www.conventionalcommits.org/) 规范。这有助于自动化生成更新日志和版本管理。
+
+Commit Message 格式如下:
+
+```
+<type>(<scope>): <subject>
+<BLANK LINE>
+<body>
+<BLANK LINE>
+<footer>
+```
+
+- **type**: `feat`, `fix`, `docs`, `style`, `refactor`, `test`, `chore` 等。
+- **scope**: (可选) 本次提交影响的范围，例如 `adapter`, `ui`, `api`。
+- **subject**: 简明扼要的描述。
+
+**示例:**
+
+```
+feat(adapter): Add support for Alist storage
+```
+
+```
+fix(ui): Correct display issue in file list view
+```
+
+### Pull Request 流程
+
+1. Fork 仓库并克隆到本地。
+2. 创建并切换到您的特性分支。
+3. 完成代码编写和测试。
+4. 将您的分支推送到您的 Fork 仓库。
+5. 在 Foxel 主仓库创建一个 Pull Request，目标分支为 `main`。
+6. 在 PR 描述中清晰地说明您的更改内容、目的和任何相关的 Issue 编号。
+
+项目维护者会尽快审查您的 PR。感谢您的耐心和贡献！

Dockerfile

@@ -13,7 +13,9 @@ FROM python:3.13-slim
 
 WORKDIR /app
 
-RUN apt-get update && apt-get install -y nginx git && rm -rf /var/lib/apt/lists/*
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends nginx git ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
 
 RUN pip install uv
 COPY pyproject.toml uv.lock ./
@@ -27,9 +29,12 @@ COPY . .
 
 COPY nginx.conf /etc/nginx/nginx.conf
 
+RUN mkdir -p data/db data/mount && \
+    chmod 777 data/db data/mount
+    
 EXPOSE 80
 
 COPY entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 
-CMD ["/entrypoint.sh"]
+CMD ["/entrypoint.sh"]

README.md

@@ -17,6 +17,7 @@
   <blockquote>
     <em><strong>The ocean of data is boundless, let the eye of insight guide the voyage, yet its intricate connections lie deep, not fully discernible from the surface.</strong></em>
   </blockquote>
+  <img src="https://foxel.cc/image/ad-min.png" alt="UI Screenshot">
 </div>
 
 ## 👀 Online Demo
@@ -73,7 +74,7 @@ chmod 777 data/db data/mount
 
 We welcome contributions from the community! Whether it's submitting bugs, suggesting new features, or contributing code directly.
 
-Before you start, please read our [`CONTRIBUTING.md`](CONTRIBUTING.md) file, which will guide you on how to set up your development environment and the submission process.
+Before you start, please read our [`CONTRIBUTING.md`](CONTRIBUTING.md) file, which explains the development environment and submission process. A Simplified Chinese translation is available in [`CONTRIBUTING_zh.md`](CONTRIBUTING_zh.md).
 
 ## 🌐 Community
 

README_zh.md

@@ -18,6 +18,7 @@
     <em><strong>数据之洋浩瀚无涯，当以洞察之目引航，然其脉络深隐，非表象所能尽窥。</strong></em><br>
     <em><strong>The ocean of data is boundless, let the eye of insight guide the voyage, yet its intricate connections lie deep, not fully discernible from the surface.</strong></em>
   </blockquote>
+  <img src="https://foxel.cc/image/ad-min.png" alt="UI Screenshot">
 </div>
 
 ## 👀 在线体验
@@ -74,7 +75,7 @@ chmod 777 data/db data/mount
 
 我们非常欢迎来自社区的贡献！无论是提交 Bug、建议新功能还是直接贡献代码。
 
-在开始之前，请先阅读我们的 [`CONTRIBUTING.md`](CONTRIBUTING.md) 文件，它会指导你如何设置开发环境以及提交流程。
+在开始之前，请先阅读我们的 [`CONTRIBUTING_zh.md`](CONTRIBUTING_zh.md) 文件，它会指导你如何设置开发环境以及提交流程。
 
 ## 🌐 社区
 

api/routers.py

@@ -1,6 +1,7 @@
 from fastapi import FastAPI
 
-from .routes import adapters, virtual_fs, auth, config, processors, tasks, logs, share, backup, search, vector_db
+from .routes import adapters, virtual_fs, auth, config, processors, tasks, logs, share, backup, search, vector_db, offline_downloads, ai_providers, email
+from .routes import webdav
 from .routes import plugins
 
 
@@ -17,4 +18,8 @@ def include_routers(app: FastAPI):
     app.include_router(share.public_router)
     app.include_router(backup.router)
     app.include_router(vector_db.router)
-    app.include_router(plugins.router)
+    app.include_router(ai_providers.router)
+    app.include_router(plugins.router)
+    app.include_router(webdav.router)
+    app.include_router(offline_downloads.router)
+    app.include_router(email.router)

api/routes/ai_providers.py

@@ -0,0 +1,177 @@
+from typing import Annotated, Dict, Optional
+
+import httpx
+from fastapi import APIRouter, Depends, HTTPException, Path
+
+from api.response import success
+from schemas.ai import (
+    AIDefaultsUpdate,
+    AIModelCreate,
+    AIModelUpdate,
+    AIProviderCreate,
+    AIProviderUpdate,
+)
+from services.ai_providers import AIProviderService
+from services.auth import User, get_current_active_user
+from services.vector_db import VectorDBService
+
+
+router = APIRouter(prefix="/api/ai", tags=["ai"])
+service = AIProviderService()
+
+
+@router.get("/providers")
+async def list_providers(
+    current_user: Annotated[User, Depends(get_current_active_user)]
+):
+    providers = await service.list_providers()
+    return success({"providers": providers})
+
+
+@router.post("/providers")
+async def create_provider(
+    payload: AIProviderCreate,
+    current_user: Annotated[User, Depends(get_current_active_user)]
+):
+    provider = await service.create_provider(payload.dict())
+    return success(provider)
+
+
+@router.get("/providers/{provider_id}")
+async def get_provider(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    provider = await service.get_provider(provider_id, with_models=True)
+    return success(provider)
+
+
+@router.put("/providers/{provider_id}")
+async def update_provider(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    payload: AIProviderUpdate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    data = {k: v for k, v in payload.dict().items() if v is not None}
+    if not data:
+        raise HTTPException(status_code=400, detail="No fields to update")
+    provider = await service.update_provider(provider_id, data)
+    return success(provider)
+
+
+@router.delete("/providers/{provider_id}")
+async def delete_provider(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    await service.delete_provider(provider_id)
+    return success({"id": provider_id})
+
+
+@router.post("/providers/{provider_id}/sync-models")
+async def sync_models(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    try:
+        result = await service.sync_models(provider_id)
+    except (httpx.RequestError, httpx.HTTPStatusError) as exc:
+        raise HTTPException(status_code=502, detail=f"Failed to synchronize models: {exc}") from exc
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+    return success(result)
+
+
+@router.get("/providers/{provider_id}/remote-models")
+async def fetch_remote_models(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    try:
+        models = await service.fetch_remote_models(provider_id)
+    except (httpx.RequestError, httpx.HTTPStatusError) as exc:
+        raise HTTPException(status_code=502, detail=f"Failed to pull models: {exc}") from exc
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+    return success({"models": models})
+
+
+@router.get("/providers/{provider_id}/models")
+async def list_models(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    models = await service.list_models(provider_id)
+    return success({"models": models})
+
+
+@router.post("/providers/{provider_id}/models")
+async def create_model(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    payload: AIModelCreate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    model = await service.create_model(provider_id, payload.dict())
+    return success(model)
+
+
+@router.put("/models/{model_id}")
+async def update_model(
+    model_id: Annotated[int, Path(..., gt=0)],
+    payload: AIModelUpdate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    data = {k: v for k, v in payload.dict().items() if v is not None}
+    if not data:
+        raise HTTPException(status_code=400, detail="No fields to update")
+    model = await service.update_model(model_id, data)
+    return success(model)
+
+
+@router.delete("/models/{model_id}")
+async def delete_model(
+    model_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    await service.delete_model(model_id)
+    return success({"id": model_id})
+
+
+def _get_embedding_dimension(entry: Optional[Dict]) -> Optional[int]:
+    if not entry:
+        return None
+    value = entry.get("embedding_dimensions")
+    return int(value) if value is not None else None
+
+
+@router.get("/defaults")
+async def get_defaults(
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    defaults = await service.get_default_models()
+    return success(defaults)
+
+
+@router.put("/defaults")
+async def update_defaults(
+    payload: AIDefaultsUpdate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    previous = await service.get_default_models()
+    try:
+        updated = await service.set_default_models(payload.as_mapping())
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+    prev_dim = _get_embedding_dimension(previous.get("embedding"))
+    next_dim = _get_embedding_dimension(updated.get("embedding"))
+
+    if prev_dim and next_dim and prev_dim != next_dim:
+        try:
+            await VectorDBService().clear_all_data()
+        except Exception as exc:  # noqa: BLE001
+            raise HTTPException(status_code=500, detail=f"Failed to clear vector database: {exc}") from exc
+
+    return success(updated)

api/routes/auth.py

@@ -1,5 +1,6 @@
 from typing import Annotated
 from fastapi import APIRouter, HTTPException, Depends, Form
+import hashlib
 from fastapi.security import OAuth2PasswordRequestForm
 from services.auth import (
     authenticate_user_db,
@@ -7,10 +8,17 @@ from services.auth import (
     ACCESS_TOKEN_EXPIRE_MINUTES,
     register_user,
     Token,
+    get_current_active_user,
+    User,
+    request_password_reset,
+    verify_password_reset_token,
+    reset_password_with_token,
 )
 from pydantic import BaseModel
 from datetime import timedelta
 from api.response import success
+from models.database import UserAccount
+from services.auth import verify_password, get_password_hash
 
 router = APIRouter(prefix="/api/auth", tags=["auth"])
 
@@ -21,6 +29,7 @@ class RegisterRequest(BaseModel):
     email: str | None = None
     full_name: str | None = None
 
+
 @router.post("/register", summary="注册第一个管理员用户")
 async def register(data: RegisterRequest):
     """
@@ -51,3 +60,96 @@ async def login_for_access_token(
         data={"sub": user.username}, expires_delta=access_token_expires
     )
     return Token(access_token=access_token, token_type="bearer")
+
+
+@router.get("/me", summary="获取当前登录用户信息")
+async def get_me(current_user: Annotated[User, Depends(get_current_active_user)]):
+    """
+    返回当前登录用户的基本信息，并附带 gravatar 头像链接。
+    """
+    email = (current_user.email or "").strip().lower()
+    md5_hash = hashlib.md5(email.encode("utf-8")).hexdigest()
+    gravatar_url = f"https://cn.cravatar.com/avatar/{md5_hash}?s=64&d=identicon"
+    return success({
+        "id": current_user.id,
+        "username": current_user.username,
+        "email": current_user.email,
+        "full_name": current_user.full_name,
+        "gravatar_url": gravatar_url,
+    })
+
+
+class UpdateMeRequest(BaseModel):
+    email: str | None = None
+    full_name: str | None = None
+    old_password: str | None = None
+    new_password: str | None = None
+
+
+class PasswordResetRequest(BaseModel):
+    email: str
+
+
+class PasswordResetConfirm(BaseModel):
+    token: str
+    password: str
+
+
+@router.put("/me", summary="更新当前登录用户信息")
+async def update_me(
+    payload: UpdateMeRequest,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    db_user = await UserAccount.get_or_none(id=current_user.id)
+    if not db_user:
+        raise HTTPException(status_code=404, detail="用户不存在")
+
+    if payload.email is not None:
+        exists = await UserAccount.filter(email=payload.email).exclude(id=db_user.id).exists()
+        if exists:
+            raise HTTPException(status_code=400, detail="邮箱已被占用")
+        db_user.email = payload.email
+
+    if payload.full_name is not None:
+        db_user.full_name = payload.full_name
+
+    if payload.new_password:
+        if not payload.old_password:
+            raise HTTPException(status_code=400, detail="请提供原密码")
+        if not verify_password(payload.old_password, db_user.hashed_password):
+            raise HTTPException(status_code=400, detail="原密码错误")
+        db_user.hashed_password = get_password_hash(payload.new_password)
+
+    await db_user.save()
+
+    email = (db_user.email or "").strip().lower()
+    md5_hash = hashlib.md5(email.encode("utf-8")).hexdigest()
+    gravatar_url = f"https://cn.cravatar.com/avatar/{md5_hash}?s=64&d=identicon"
+    return success({
+        "id": db_user.id,
+        "username": db_user.username,
+        "email": db_user.email,
+        "full_name": db_user.full_name,
+        "gravatar_url": gravatar_url,
+    })
+
+
+@router.post("/password-reset/request", summary="请求密码重置邮件")
+async def password_reset_request_endpoint(payload: PasswordResetRequest):
+    await request_password_reset(payload.email)
+    return success(msg="如果邮箱存在，将发送重置邮件")
+
+
+@router.get("/password-reset/verify", summary="校验密码重置令牌")
+async def password_reset_verify(token: str):
+    user = await verify_password_reset_token(token)
+    return success({
+        "username": user.username,
+        "email": user.email,
+    })
+
+
+@router.post("/password-reset/confirm", summary="使用令牌重置密码")
+async def password_reset_confirm(payload: PasswordResetConfirm):
+    await reset_password_with_token(payload.token, payload.password)
+    return success(msg="密码已重置")

api/routes/config.py

@@ -37,10 +37,13 @@ async def get_all_config(
 
 @router.get("/status")
 async def get_system_status():
+    logo = await ConfigCenter.get("APP_LOGO", "/logo.svg")
+    favicon = await ConfigCenter.get("APP_FAVICON", logo)
     system_info = {
         "version": VERSION,
         "title": await ConfigCenter.get("APP_NAME", "Foxel"),
-        "logo": await ConfigCenter.get("APP_LOGO", "/logo.svg"),
+        "logo": logo,
+        "favicon": favicon,
         "is_initialized": await has_users(),
         "app_domain": await ConfigCenter.get("APP_DOMAIN"),
         "file_domain": await ConfigCenter.get("FILE_DOMAIN"),

api/routes/email.py

@@ -0,0 +1,92 @@
+from fastapi import APIRouter, Depends, HTTPException
+
+from services.auth import User, get_current_active_user
+from services.email import EmailService, EmailTemplateRenderer
+from schemas.email import EmailTestRequest, EmailTemplateUpdate, EmailTemplatePreviewPayload
+from api.response import success
+from services.logging import LogService
+
+
+router = APIRouter(
+    prefix="/api/email",
+    tags=["email"],
+)
+
+
+@router.post("/test")
+async def trigger_test_email(
+    payload: EmailTestRequest,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        task = await EmailService.enqueue_email(
+            recipients=[str(payload.to)],
+            subject=payload.subject,
+            template=payload.template,
+            context=payload.context,
+        )
+    except Exception as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+    await LogService.action(
+        "route:email",
+        "Triggered email test",
+        details={"task_id": task.id, "template": payload.template, "to": str(payload.to)},
+        user_id=getattr(current_user, "id", None),
+    )
+    return success({"task_id": task.id})
+
+
+@router.get("/templates")
+async def list_email_templates(
+    current_user: User = Depends(get_current_active_user),
+):
+    templates = await EmailTemplateRenderer.list_templates()
+    return success({"templates": templates})
+
+
+@router.get("/templates/{name}")
+async def get_email_template(
+    name: str,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        content = await EmailTemplateRenderer.load(name)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+    except FileNotFoundError:
+        raise HTTPException(status_code=404, detail="模板不存在")
+    return success({"name": name, "content": content})
+
+
+@router.post("/templates/{name}")
+async def update_email_template(
+    name: str,
+    payload: EmailTemplateUpdate,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        await EmailTemplateRenderer.save(name, payload.content)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+    await LogService.action(
+        "route:email",
+        "Updated email template",
+        details={"template": name},
+        user_id=getattr(current_user, "id", None),
+    )
+    return success({"name": name})
+
+
+@router.post("/templates/{name}/preview")
+async def preview_email_template(
+    name: str,
+    payload: EmailTemplatePreviewPayload,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        html = await EmailTemplateRenderer.render(name, payload.context)
+    except FileNotFoundError:
+        raise HTTPException(status_code=404, detail="模板不存在")
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+    return success({"html": html})

api/routes/offline_downloads.py

@@ -0,0 +1,79 @@
+from typing import Annotated
+
+from fastapi import APIRouter, Depends, HTTPException
+
+from api.response import success
+from schemas.offline_downloads import OfflineDownloadCreate
+from services.auth import User, get_current_active_user
+from services.logging import LogService
+from services.task_queue import task_queue_service, TaskProgress
+from services.virtual_fs import path_is_directory
+
+
+router = APIRouter(
+    prefix="/api/offline-downloads",
+    tags=["OfflineDownloads"],
+)
+
+
+@router.post("/")
+async def create_offline_download(
+    payload: OfflineDownloadCreate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    dest_dir = payload.dest_dir
+    try:
+        is_dir = await path_is_directory(dest_dir)
+    except HTTPException:
+        is_dir = False
+    if not is_dir:
+        raise HTTPException(400, detail="Destination directory not found")
+
+    task = await task_queue_service.add_task(
+        "offline_http_download",
+        {
+            "url": str(payload.url),
+            "dest_dir": dest_dir,
+            "filename": payload.filename,
+        },
+    )
+
+    await task_queue_service.update_progress(
+        task.id,
+        TaskProgress(
+            stage="queued",
+            percent=0.0,
+            bytes_total=None,
+            bytes_done=0,
+            detail="Waiting to start",
+        ),
+    )
+
+    await LogService.action(
+        "route:offline_downloads",
+        f"Offline download task created {task.id}",
+        details={"url": str(payload.url), "dest_dir": dest_dir, "filename": payload.filename},
+        user_id=current_user.id if hasattr(current_user, "id") else None,
+    )
+
+    return success({"task_id": task.id})
+
+
+@router.get("/")
+async def list_offline_downloads(
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    tasks = [t for t in task_queue_service.get_all_tasks() if t.name == "offline_http_download"]
+    data = [t.dict() for t in tasks]
+    return success(data)
+
+
+@router.get("/{task_id}")
+async def get_offline_download(
+    task_id: str,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    task = task_queue_service.get_task(task_id)
+    if not task or task.name != "offline_http_download":
+        raise HTTPException(status_code=404, detail="Task not found")
+    return success(task.dict())

api/routes/processors.py

@@ -1,10 +1,20 @@
-from fastapi import APIRouter, Depends, Body
+from pathlib import Path
+from fastapi import APIRouter, Depends, Body, HTTPException
+from fastapi.concurrency import run_in_threadpool
 from typing import Annotated
-from services.processors.registry import get_config_schemas
+from services.processors.registry import (
+    get,
+    get_config_schema,
+    get_config_schemas,
+    get_module_path,
+    reload_processors,
+)
 from services.task_queue import task_queue_service
 from services.auth import get_current_active_user, User
 from api.response import success
 from pydantic import BaseModel
+from services.virtual_fs import path_is_directory, resolve_adapter_and_rel
+from typing import List, Optional, Tuple
 
 router = APIRouter(prefix="/api/processors", tags=["processors"])
 
@@ -22,6 +32,7 @@ async def list_processors(
             "supported_exts": meta.get("supported_exts", []),
             "config_schema": meta["config_schema"],
             "produces_file": meta.get("produces_file", False),
+            "module_path": meta.get("module_path"),
         })
     return success(out)
 
@@ -34,12 +45,29 @@ class ProcessRequest(BaseModel):
     overwrite: bool = False
 
 
+class ProcessDirectoryRequest(BaseModel):
+    path: str
+    processor_type: str
+    config: dict
+    overwrite: bool = True
+    max_depth: Optional[int] = None
+    suffix: Optional[str] = None
+
+
+class UpdateSourceRequest(BaseModel):
+    source: str
+
+
 @router.post("/process")
 async def process_file_with_processor(
     current_user: Annotated[User, Depends(get_current_active_user)],
     req: ProcessRequest = Body(...)
 ):
-    save_to = req.path if req.overwrite else req.save_to
+    is_dir = await path_is_directory(req.path)
+    if is_dir and not req.overwrite:
+        raise HTTPException(400, detail="Directory processing requires overwrite")
+
+    save_to = None if is_dir else (req.path if req.overwrite else req.save_to)
     task = await task_queue_service.add_task(
         "process_file",
         {
@@ -47,6 +75,176 @@ async def process_file_with_processor(
             "processor_type": req.processor_type,
             "config": req.config,
             "save_to": save_to,
+            "overwrite": req.overwrite,
         },
     )
     return success({"task_id": task.id})
+
+
+@router.post("/process-directory")
+async def process_directory_with_processor(
+    current_user: Annotated[User, Depends(get_current_active_user)],
+    req: ProcessDirectoryRequest = Body(...)
+):
+    if req.max_depth is not None and req.max_depth < 0:
+        raise HTTPException(400, detail="max_depth must be >= 0")
+
+    is_dir = await path_is_directory(req.path)
+    if not is_dir:
+        raise HTTPException(400, detail="Path must be a directory")
+
+    schema = get_config_schema(req.processor_type)
+    _processor = get(req.processor_type)
+    if not schema or not _processor:
+        raise HTTPException(404, detail="Processor not found")
+
+    produces_file = bool(schema.get("produces_file"))
+    raw_suffix = req.suffix if req.suffix is not None else None
+    if raw_suffix is not None and raw_suffix.strip() == "":
+        raw_suffix = None
+    suffix = raw_suffix
+    overwrite = req.overwrite
+
+    if produces_file:
+        if not overwrite and not suffix:
+            raise HTTPException(400, detail="Suffix is required when not overwriting files")
+    else:
+        overwrite = False
+        suffix = None
+
+    supported_exts = schema.get("supported_exts") or []
+    allowed_exts = {
+        ext.lower().lstrip('.')
+        for ext in supported_exts
+        if isinstance(ext, str)
+    }
+
+    def matches_extension(file_rel: str) -> bool:
+        if not allowed_exts:
+            return True
+        if '.' not in file_rel:
+            return '' in allowed_exts
+        ext = file_rel.rsplit('.', 1)[-1].lower()
+        return ext in allowed_exts or f'.{ext}' in allowed_exts
+
+    adapter_instance, adapter_model, root, rel = await resolve_adapter_and_rel(req.path)
+    rel = rel.rstrip('/')
+
+    list_dir = getattr(adapter_instance, "list_dir", None)
+    if not callable(list_dir):
+        raise HTTPException(501, detail="Adapter does not implement list_dir")
+
+    def build_absolute_path(mount_path: str, rel_path: str) -> str:
+        rel_norm = rel_path.lstrip('/')
+        mount_norm = mount_path.rstrip('/')
+        if not mount_norm:
+            return '/' + rel_norm if rel_norm else '/'
+        return f"{mount_norm}/{rel_norm}" if rel_norm else mount_norm
+
+    def apply_suffix(path_str: str, suffix_str: str) -> str:
+        path_obj = Path(path_str)
+        name = path_obj.name
+        if not name:
+            return path_str
+        if '.' in name:
+            base, ext = name.rsplit('.', 1)
+            new_name = f"{base}{suffix_str}.{ext}"
+        else:
+            new_name = f"{name}{suffix_str}"
+        return str(path_obj.with_name(new_name))
+
+    scheduled_tasks: List[str] = []
+    stack: List[Tuple[str, int]] = [(rel, 0)]
+    page_size = 200
+
+    while stack:
+        current_rel, depth = stack.pop()
+        page = 1
+        while True:
+            entries, total = await list_dir(root, current_rel, page, page_size, "name", "asc")
+            entries = entries or []
+            if not entries and (total or 0) == 0:
+                break
+
+            for entry in entries:
+                name = entry.get("name")
+                if not name:
+                    continue
+                child_rel = f"{current_rel}/{name}" if current_rel else name
+                if entry.get("is_dir"):
+                    if req.max_depth is None or depth < req.max_depth:
+                        stack.append((child_rel.rstrip('/'), depth + 1))
+                    continue
+                if not matches_extension(child_rel):
+                    continue
+                absolute_path = build_absolute_path(adapter_model.path, child_rel)
+                save_to = None
+                if produces_file and not overwrite and suffix:
+                    save_to = apply_suffix(absolute_path, suffix)
+                task = await task_queue_service.add_task(
+                    "process_file",
+                    {
+                        "path": absolute_path,
+                        "processor_type": req.processor_type,
+                        "config": req.config,
+                        "save_to": save_to,
+                        "overwrite": overwrite,
+                    },
+                )
+                scheduled_tasks.append(task.id)
+
+            if total is None or page * page_size >= total:
+                break
+            page += 1
+
+    return success({
+        "task_ids": scheduled_tasks,
+        "scheduled": len(scheduled_tasks),
+    })
+
+
+@router.get("/source/{processor_type}")
+async def get_processor_source(
+    processor_type: str,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    module_path = get_module_path(processor_type)
+    if not module_path:
+        raise HTTPException(404, detail="Processor not found")
+    path_obj = Path(module_path)
+    if not path_obj.exists():
+        raise HTTPException(404, detail="Processor source not found")
+    try:
+        content = await run_in_threadpool(path_obj.read_text, encoding='utf-8')
+    except Exception as exc:
+        raise HTTPException(500, detail=f"Failed to read source: {exc}")
+    return success({"source": content, "module_path": str(path_obj)})
+
+
+@router.put("/source/{processor_type}")
+async def update_processor_source(
+    processor_type: str,
+    req: UpdateSourceRequest,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    module_path = get_module_path(processor_type)
+    if not module_path:
+        raise HTTPException(404, detail="Processor not found")
+    path_obj = Path(module_path)
+    if not path_obj.exists():
+        raise HTTPException(404, detail="Processor source not found")
+    try:
+        await run_in_threadpool(path_obj.write_text, req.source, encoding='utf-8')
+    except Exception as exc:
+        raise HTTPException(500, detail=f"Failed to write source: {exc}")
+    return success(True)
+
+
+@router.post("/reload")
+async def reload_processor_modules(
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    errors = reload_processors()
+    if errors:
+        raise HTTPException(500, detail="; ".join(errors))
+    return success(True)

api/routes/search.py

@@ -1,4 +1,7 @@
+from typing import Any, Dict, List, Tuple
+
 from fastapi import APIRouter, Depends, Query
+
 from schemas.fs import SearchResultItem
 from services.auth import get_current_active_user, User
 from services.ai import get_text_embedding
@@ -6,24 +9,96 @@ from services.vector_db import VectorDBService
 
 router = APIRouter(prefix="/api/search", tags=["search"])
 
-async def search_files_by_vector(q: str, top_k: int):
-    embedding = await get_text_embedding(q)
-    vector_db = VectorDBService()
-    results = vector_db.search_vectors("vector_collection", embedding, top_k)
-    items = [
-        SearchResultItem(id=res["id"], path=res["entity"]["path"], score=res["distance"])
-        for res in results[0]
-    ]
-    return {"items": items, "query": q}
 
-async def search_files_by_name(q: str, top_k: int):
+def _normalize_result(raw: Dict[str, Any], source: str, fallback_score: float = 0.0) -> SearchResultItem:
+    entity = dict(raw.get("entity") or {})
+    source_path = entity.get("source_path")
+    stored_path = entity.get("path")
+    path = source_path or stored_path or ""
+    chunk_id_value = entity.get("chunk_id")
+    chunk_id = str(chunk_id_value) if chunk_id_value is not None else None
+    snippet = entity.get("text") or entity.get("description") or entity.get("name")
+    mime = entity.get("mime")
+    start_offset = entity.get("start_offset")
+    end_offset = entity.get("end_offset")
+    raw_score = raw.get("distance")
+    score = float(raw_score) if raw_score is not None else fallback_score
+
+    metadata = {
+        "retrieval_source": source,
+        "raw_distance": raw_score,
+    }
+    if stored_path and stored_path != path:
+        metadata["stored_path"] = stored_path
+    vector_id = entity.get("vector_id")
+    if vector_id:
+        metadata["vector_id"] = vector_id
+
+    return SearchResultItem(
+        id=str(raw.get("id")),
+        path=path,
+        score=score,
+        chunk_id=chunk_id,
+        snippet=snippet,
+        mime=mime,
+        source_type=entity.get("type") or source,
+        start_offset=start_offset,
+        end_offset=end_offset,
+        metadata=metadata,
+    )
+
+
+async def _vector_search(query: str, top_k: int) -> List[SearchResultItem]:
     vector_db = VectorDBService()
-    results = vector_db.search_by_path("vector_collection", q, top_k)
-    items = [
-        SearchResultItem(id=idx, path=res["entity"]["path"], score=res["distance"])
-        for idx, res in enumerate(results[0])
-    ]
-    return {"items": items, "query": q}
+    try:
+        embedding = await get_text_embedding(query)
+    except Exception:
+        embedding = None
+    if not embedding:
+        return []
+
+    try:
+        raw_results = await vector_db.search_vectors("vector_collection", embedding, max(top_k, 10))
+    except Exception:
+        return []
+
+    results: List[SearchResultItem] = []
+    for bucket in raw_results or []:
+        for record in bucket or []:
+            results.append(_normalize_result(record, "vector"))
+    return results
+
+
+async def _filename_search(query: str, page: int, page_size: int) -> Tuple[List[SearchResultItem], bool]:
+    vector_db = VectorDBService()
+    limit = max(page * page_size + 1, page_size * (page + 2))
+    limit = min(limit, 2000)
+    try:
+        raw_results = await vector_db.search_by_path("vector_collection", query, limit)
+    except Exception:
+        return [], False
+
+    records = raw_results[0] if raw_results else []
+    deduped: List[SearchResultItem] = []
+    seen_paths: set[str] = set()
+    for record in records or []:
+        item = _normalize_result(record, "filename", fallback_score=1.0)
+        stored_path = item.metadata.get("stored_path") if item.metadata else None
+        key = item.path or stored_path or ""
+        if key in seen_paths:
+            continue
+        seen_paths.add(key)
+        deduped.append(item)
+
+    start = max(page - 1, 0) * page_size
+    end = start + page_size
+    page_items = deduped[start:end]
+    for offset, item in enumerate(page_items):
+        if item.metadata is None:
+            item.metadata = {}
+        item.metadata.setdefault("retrieval_rank", start + offset)
+    has_more = len(deduped) > end
+    return page_items, has_more
 
 
 @router.get("")
@@ -31,11 +106,32 @@ async def search_files(
     q: str = Query(..., description="搜索查询"),
     top_k: int = Query(10, description="返回结果数量"),
     mode: str = Query("vector", description="搜索模式: 'vector' 或 'filename'"),
+    page: int = Query(1, description="分页页码，仅在文件名搜索模式下生效"),
+    page_size: int = Query(10, description="分页大小，仅在文件名搜索模式下生效"),
     user: User = Depends(get_current_active_user),
 ):
+    if not q.strip():
+        return {"items": [], "query": q}
+
+    top_k = max(top_k, 1)
+    page = max(page, 1)
+    page_size = max(min(page_size, 100), 1)
+
     if mode == "vector":
-        return await search_files_by_vector(q, top_k)
+        items = (await _vector_search(q, top_k))[:top_k]
     elif mode == "filename":
-        return await search_files_by_name(q, top_k)
+        items, has_more = await _filename_search(q, page, page_size)
+        return {
+            "items": items,
+            "query": q,
+            "mode": mode,
+            "pagination": {
+                "page": page,
+                "page_size": page_size,
+                "has_more": has_more,
+            },
+        }
     else:
-        return {"items": [], "query": q, "error": "Invalid search mode"}
+        items = (await _vector_search(q, top_k))[:top_k]
+
+    return {"items": items, "query": q, "mode": mode}

api/routes/share.py

@@ -83,6 +83,18 @@ async def get_my_shares(current_user: User = Depends(get_current_active_user)):
     return [ShareInfo.from_orm(s) for s in shares]
 
 
+@router.delete("/expired")
+async def delete_expired_shares(
+    current_user: User = Depends(get_current_active_user),
+):
+    """
+    删除当前用户的所有已过期分享。
+    """
+    user_account = await UserAccount.get(id=current_user.id)
+    deleted_count = await share_service.delete_expired_shares(user=user_account)
+    return success({"deleted_count": deleted_count})
+
+
 @router.delete("/{share_id}")
 async def delete_share(
     share_id: int,

api/routes/tasks.py

@@ -2,11 +2,17 @@ from fastapi import APIRouter, Depends, HTTPException
 from typing import Annotated
 
 from models.database import AutomationTask
-from schemas.tasks import AutomationTaskCreate, AutomationTaskUpdate
+from schemas.tasks import (
+    AutomationTaskCreate,
+    AutomationTaskUpdate,
+    TaskQueueSettings,
+    TaskQueueSettingsResponse,
+)
 from api.response import success
 from services.auth import get_current_active_user, User
 from services.logging import LogService
 from services.task_queue import task_queue_service
+from services.config import ConfigCenter
 
 router = APIRouter(
     prefix="/api/tasks",
@@ -24,6 +30,37 @@ async def get_task_queue_status(
     return success([task.dict() for task in tasks])
 
 
+@router.get("/queue/settings")
+async def get_task_queue_settings(
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    payload = TaskQueueSettingsResponse(
+        concurrency=task_queue_service.get_concurrency(),
+        active_workers=task_queue_service.get_active_worker_count(),
+    )
+    return success(payload.model_dump())
+
+
+@router.post("/queue/settings")
+async def update_task_queue_settings(
+    settings: TaskQueueSettings,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    await task_queue_service.set_concurrency(settings.concurrency)
+    await ConfigCenter.set("TASK_QUEUE_CONCURRENCY", str(task_queue_service.get_concurrency()))
+    await LogService.action(
+        "route:tasks",
+        "Updated task queue settings",
+        details={"concurrency": settings.concurrency},
+        user_id=getattr(current_user, "id", None),
+    )
+    payload = TaskQueueSettingsResponse(
+        concurrency=task_queue_service.get_concurrency(),
+        active_workers=task_queue_service.get_active_worker_count(),
+    )
+    return success(payload.model_dump())
+
+
 @router.get("/queue/{task_id}")
 async def get_task_status(
     task_id: str,

api/routes/vector_db.py

@@ -1,19 +1,91 @@
+from typing import Any, Dict
+
 from fastapi import APIRouter, Depends, HTTPException
+from pydantic import BaseModel, Field
+
 from services.auth import get_current_active_user
 from models.database import UserAccount
-from services.vector_db import VectorDBService
+from services.vector_db import (
+    VectorDBService,
+    VectorDBConfigManager,
+    list_providers,
+    get_provider_entry,
+)
+from services.vector_db.providers import get_provider_class
 from api.response import success
 
 router = APIRouter(prefix="/api/vector-db", tags=["vector-db"])
 
 
+class VectorDBConfigPayload(BaseModel):
+    type: str = Field(..., description="向量数据库提供者类型")
+    config: Dict[str, Any] = Field(default_factory=dict, description="提供者配置参数")
+
+
 @router.post("/clear-all", summary="清空向量数据库")
 async def clear_vector_db(user: UserAccount = Depends(get_current_active_user)):
-    if user.username != 'admin':
-        raise HTTPException(status_code=403, detail="仅管理员可操作")
     try:
         service = VectorDBService()
-        service.clear_all_data()
+        await service.clear_all_data()
         return success(msg="向量数据库已清空")
     except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/stats", summary="获取向量数据库统计")
+async def get_vector_db_stats(user: UserAccount = Depends(get_current_active_user)):
+    try:
+        service = VectorDBService()
+        data = await service.get_all_stats()
+        return success(data=data)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/providers", summary="列出可用向量数据库提供者")
+async def list_vector_providers(user: UserAccount = Depends(get_current_active_user)):
+    return success(list_providers())
+
+
+@router.get("/config", summary="获取当前向量数据库配置")
+async def get_vector_db_config(user: UserAccount = Depends(get_current_active_user)):
+    service = VectorDBService()
+    data = await service.current_provider()
+    return success(data)
+
+
+@router.post("/config", summary="更新向量数据库配置")
+async def update_vector_db_config(payload: VectorDBConfigPayload, user: UserAccount = Depends(get_current_active_user)):
+    entry = get_provider_entry(payload.type)
+    if not entry:
+        raise HTTPException(
+            status_code=400, detail=f"未知的向量数据库类型: {payload.type}")
+    if not entry.get("enabled", True):
+        raise HTTPException(status_code=400, detail="该向量数据库类型暂不可用")
+
+    provider_cls = get_provider_class(payload.type)
+    if not provider_cls:
+        raise HTTPException(
+            status_code=400, detail=f"未找到类型 {payload.type} 对应的实现")
+
+    # 先尝试建立连接，确保配置有效
+    test_provider = provider_cls(payload.config)
+    try:
+        await test_provider.initialize()
+    except Exception as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+    finally:
+        client = getattr(test_provider, "client", None)
+        close_fn = getattr(client, "close", None)
+        if callable(close_fn):
+            try:
+                close_fn()
+            except Exception:
+                pass
+
+    await VectorDBConfigManager.save_config(payload.type, payload.config)
+    service = VectorDBService()
+    await service.reload()
+    config_data = await service.current_provider()
+    stats = await service.get_all_stats()
+    return success({"config": config_data, "stats": stats})

api/routes/virtual_fs.py

@@ -15,8 +15,9 @@ from services.virtual_fs import (
     stream_file,
     generate_temp_link_token,
     verify_temp_link_token,
+    maybe_redirect_download,
 )
-from services.thumbnail import is_image_filename, get_or_create_thumb, is_raw_filename
+from services.thumbnail import is_image_filename, get_or_create_thumb, is_raw_filename, is_video_filename
 from schemas import MkdirRequest, MoveRequest
 from api.response import success
 from services.config import ConfigCenter
@@ -50,6 +51,12 @@ async def get_file(
         except Exception as e:
             raise HTTPException(500, detail=f"RAW file processing failed: {e}")
 
+    adapter_instance, adapter_model, root, rel = await resolve_adapter_and_rel(full_path)
+
+    redirect_response = await maybe_redirect_download(adapter_instance, adapter_model, root, rel)
+    if redirect_response is not None:
+        return redirect_response
+
     try:
         content = await read_file(full_path)
     except FileNotFoundError:
@@ -114,8 +121,8 @@ async def get_thumb(
     adapter, mount, root, rel = await resolve_adapter_and_rel(full_path)
     if not rel or rel.endswith('/'):
         raise HTTPException(400, detail="Not a file")
-    if not is_image_filename(rel):
-        raise HTTPException(404, detail="Not an image")
+    if not (is_image_filename(rel) or is_video_filename(rel)):
+        raise HTTPException(404, detail="Not an image or video")
     # type: ignore
     data, mime, key = await get_or_create_thumb(adapter, mount.id, root, rel, w, h, fit)
     headers = {
@@ -219,31 +226,41 @@ async def api_mkdir(
 @router.post("/move")
 async def api_move(
     current_user: Annotated[User, Depends(get_current_active_user)],
-    body: MoveRequest
+    body: MoveRequest,
+    overwrite: bool = Query(False, description="是否允许覆盖已存在目标"),
 ):
     src = body.src if body.src.startswith('/') else '/' + body.src
     dst = body.dst if body.dst.startswith('/') else '/' + body.dst
-    await move_path(src, dst)
-    return success({"moved": True, "src": src, "dst": dst})
+    debug_info = await move_path(src, dst, overwrite=overwrite, return_debug=True, allow_cross=True)
+    queued = bool(debug_info.get("queued"))
+    response = {
+        "moved": not queued,
+        "queued": queued,
+        "src": src,
+        "dst": dst,
+        "overwrite": overwrite,
+    }
+    if queued:
+        response["task_id"] = debug_info.get("task_id")
+        response["task_name"] = debug_info.get("task_name")
+    return success(response)
 
 
 @router.post("/rename")
 async def api_rename(
     current_user: Annotated[User, Depends(get_current_active_user)],
     body: MoveRequest,
-    overwrite: bool = Query(False, description="是否允许覆盖已存在目标"),
-    debug: bool = Query(False, description="返回调试信息")
+    overwrite: bool = Query(False, description="是否允许覆盖已存在目标")
 ):
     src = body.src if body.src.startswith('/') else '/' + body.src
     dst = body.dst if body.dst.startswith('/') else '/' + body.dst
     from services.virtual_fs import rename_path
-    debug_info = await rename_path(src, dst, overwrite=overwrite, return_debug=debug)
+    await rename_path(src, dst, overwrite=overwrite, return_debug=False)
     return success({
         "renamed": True,
         "src": src,
         "dst": dst,
         "overwrite": overwrite,
-        **({"debug": debug_info} if debug else {})
     })
 
 
@@ -252,19 +269,23 @@ async def api_copy(
     current_user: Annotated[User, Depends(get_current_active_user)],
     body: MoveRequest,
     overwrite: bool = Query(False, description="是否覆盖已存在目标"),
-    debug: bool = Query(False, description="返回调试信息")
 ):
     from services.virtual_fs import copy_path
     src = body.src if body.src.startswith('/') else '/' + body.src
     dst = body.dst if body.dst.startswith('/') else '/' + body.dst
-    debug_info = await copy_path(src, dst, overwrite=overwrite, return_debug=debug)
-    return success({
-        "copied": True,
+    debug_info = await copy_path(src, dst, overwrite=overwrite, return_debug=True, allow_cross=True)
+    queued = bool(debug_info.get("queued"))
+    response = {
+        "copied": not queued,
+        "queued": queued,
         "src": src,
         "dst": dst,
         "overwrite": overwrite,
-        **({"debug": debug_info} if debug else {})
-    })
+    }
+    if queued:
+        response["task_id"] = debug_info.get("task_id")
+        response["task_name"] = debug_info.get("task_name")
+    return success(response)
 
 
 @router.post("/upload/{full_path:path}")

api/routes/webdav.py

@@ -0,0 +1,273 @@
+from __future__ import annotations
+import base64
+import hashlib
+import mimetypes
+from email.utils import formatdate
+from urllib.parse import urlparse, unquote
+from typing import Optional
+
+from fastapi import APIRouter, Request, Response, HTTPException, Depends
+import xml.etree.ElementTree as ET
+
+from services.auth import authenticate_user_db, User, UserInDB
+from services.virtual_fs import (
+    list_virtual_dir,
+    stat_file,
+    write_file_stream,
+    make_dir,
+    delete_path,
+    move_path,
+    copy_path,
+    stream_file,
+)
+
+
+router = APIRouter(prefix="/webdav", tags=["webdav"])
+
+
+def _dav_headers(extra: Optional[dict] = None) -> dict:
+    headers = {
+        "DAV": "1",
+        "MS-Author-Via": "DAV",
+        "Accept-Ranges": "bytes",
+        "Allow": ", ".join([
+            "OPTIONS",
+            "PROPFIND",
+            "GET",
+            "HEAD",
+            "PUT",
+            "DELETE",
+            "MKCOL",
+            "MOVE",
+            "COPY",
+        ]),
+    }
+    if extra:
+        headers.update(extra)
+    return headers
+
+
+async def _get_basic_user(request: Request) -> User:
+    auth = request.headers.get("Authorization", "")
+    if not auth:
+        raise HTTPException(401, detail="Unauthorized", headers={"WWW-Authenticate": "Basic realm=webdav"})
+
+    scheme, _, param = auth.partition(" ")
+    scheme_lower = scheme.lower()
+    if scheme_lower == "basic":
+        try:
+            decoded = base64.b64decode(param).decode("utf-8")
+            username, _, password = decoded.partition(":")
+        except Exception:
+            raise HTTPException(401, detail="Invalid Basic auth", headers={"WWW-Authenticate": "Basic realm=webdav"})
+        user_or_false: Optional[UserInDB] = await authenticate_user_db(username, password)
+        if not user_or_false:
+            raise HTTPException(401, detail="Invalid credentials", headers={"WWW-Authenticate": "Basic realm=webdav"})
+        u: UserInDB = user_or_false
+        return User(id=u.id, username=u.username, email=u.email, full_name=u.full_name, disabled=u.disabled)
+    elif scheme_lower == "bearer":
+        if not param:
+            raise HTTPException(401, detail="Invalid Bearer token")
+        return User(id=0, username="bearer", email=None, full_name=None, disabled=False)
+    else:
+        raise HTTPException(401, detail="Unsupported auth", headers={"WWW-Authenticate": "Basic realm=webdav"})
+
+
+def _httpdate(ts: int | float) -> str:
+    return formatdate(ts, usegmt=True)
+
+
+def _etag(path: str, size: int | None, mtime: int | None) -> str:
+    raw = f"{path}|{size or 0}|{mtime or 0}".encode("utf-8")
+    return '"' + hashlib.md5(raw).hexdigest() + '"'
+
+
+def _href_for(path: str, is_dir: bool) -> str:
+    from urllib.parse import quote
+    p = "/webdav" + (path if path.startswith("/") else "/" + path)
+    if is_dir and not p.endswith("/"):
+        p += "/"
+    return quote(p)
+
+
+def _build_prop_response(path: str, name: str, is_dir: bool, size: Optional[int], mtime: Optional[int], content_type: Optional[str]):
+    ns = "{DAV:}"
+    resp = ET.Element(ns + "response")
+    href = ET.SubElement(resp, ns + "href")
+    href.text = _href_for(path, is_dir)
+
+    propstat = ET.SubElement(resp, ns + "propstat")
+    prop = ET.SubElement(propstat, ns + "prop")
+
+    displayname = ET.SubElement(prop, ns + "displayname")
+    displayname.text = name
+
+    resourcetype = ET.SubElement(prop, ns + "resourcetype")
+    if is_dir:
+        ET.SubElement(resourcetype, ns + "collection")
+
+    if not is_dir:
+        if size is not None:
+            gcl = ET.SubElement(prop, ns + "getcontentlength")
+            gcl.text = str(size)
+        if content_type:
+            gct = ET.SubElement(prop, ns + "getcontenttype")
+            gct.text = content_type
+
+    if mtime is not None:
+        glm = ET.SubElement(prop, ns + "getlastmodified")
+        glm.text = _httpdate(mtime)
+
+    etag = ET.SubElement(prop, ns + "getetag")
+    etag.text = _etag(path, size, mtime)
+
+    status = ET.SubElement(propstat, ns + "status")
+    status.text = "HTTP/1.1 200 OK"
+    return resp
+
+
+def _multistatus_xml(responses: list[ET.Element]) -> bytes:
+    ns = "{DAV:}"
+    ms = ET.Element(ns + "multistatus")
+    for r in responses:
+        ms.append(r)
+    return ET.tostring(ms, encoding="utf-8", xml_declaration=True)
+
+
+def _normalize_fs_path(path: str) -> str:
+    full = "/" + path if not path.startswith("/") else path
+    return unquote(full)
+
+
+@router.options("/{path:path}")
+async def options_root(path: str = ""):
+    return Response(status_code=200, headers=_dav_headers())
+
+
+@router.api_route("/{path:path}", methods=["PROPFIND"])
+async def propfind(request: Request, path: str, user: User = Depends(_get_basic_user)):
+    full_path = _normalize_fs_path(path)
+    depth = request.headers.get("Depth", "1").lower()
+    if depth not in ("0", "1", "infinity"):
+        depth = "1"
+
+    responses: list[ET.Element] = []
+
+    # 先获取当前路径信息
+    try:
+        st = await stat_file(full_path)
+        is_dir = bool(st.get("is_dir"))
+        name = st.get("name") or full_path.rsplit("/", 1)[-1] or "/"
+        size = None if is_dir else int(st.get("size", 0))
+        mtime = int(st.get("mtime", 0)) if st.get("mtime") is not None else None
+        ctype = None if is_dir else (mimetypes.guess_type(name)[0] or "application/octet-stream")
+        responses.append(_build_prop_response(full_path, name, is_dir, size, mtime, ctype))
+    except FileNotFoundError:
+        raise HTTPException(404, detail="Not found")
+
+    if depth in ("1", "infinity"):
+        try:
+            listing = await list_virtual_dir(full_path, page_num=1, page_size=1000)
+            for ent in listing["items"]:
+                is_dir = bool(ent.get("is_dir"))
+                name = ent.get("name")
+                child_path = full_path.rstrip("/") + "/" + name
+                size = None if is_dir else int(ent.get("size", 0))
+                mtime = int(ent.get("mtime", 0)) if ent.get("mtime") is not None else None
+                ctype = None if is_dir else (mimetypes.guess_type(name)[0] or "application/octet-stream")
+                responses.append(_build_prop_response(child_path, name, is_dir, size, mtime, ctype))
+        except HTTPException as e:
+            if e.status_code == 400:
+                pass
+            else:
+                raise
+
+    xml = _multistatus_xml(responses)
+    return Response(content=xml, status_code=207, media_type='application/xml; charset="utf-8"', headers=_dav_headers())
+
+
+@router.get("/{path:path}")
+async def dav_get(path: str, request: Request, user: User = Depends(_get_basic_user)):
+    full_path = _normalize_fs_path(path)
+    range_header = request.headers.get("Range")
+    return await stream_file(full_path, range_header)
+
+
+@router.head("/{path:path}")
+async def dav_head(path: str, user: User = Depends(_get_basic_user)):
+    full_path = _normalize_fs_path(path)
+    try:
+        st = await stat_file(full_path)
+    except FileNotFoundError:
+        raise HTTPException(404, detail="Not found")
+    is_dir = bool(st.get("is_dir"))
+    headers = _dav_headers()
+    if not is_dir:
+        size = int(st.get("size", 0))
+        name = st.get("name") or full_path.rsplit("/", 1)[-1]
+        ctype = mimetypes.guess_type(name)[0] or "application/octet-stream"
+        mtime = int(st.get("mtime", 0)) if st.get("mtime") is not None else None
+        headers.update({
+            "Content-Length": str(size),
+            "Content-Type": ctype,
+            "ETag": _etag(full_path, size, mtime),
+        })
+    return Response(status_code=200, headers=headers)
+
+
+@router.api_route("/{path:path}", methods=["PUT"])
+async def dav_put(path: str, request: Request, user: User = Depends(_get_basic_user)):
+    full_path = _normalize_fs_path(path)
+    async def body_iter():
+        async for chunk in request.stream():
+            if chunk:
+                yield chunk
+    size = await write_file_stream(full_path, body_iter(), overwrite=True)
+    return Response(status_code=201, headers=_dav_headers({"Content-Length": "0"}))
+
+
+@router.api_route("/{path:path}", methods=["DELETE"])
+async def dav_delete(path: str, user: User = Depends(_get_basic_user)):
+    full_path = _normalize_fs_path(path)
+    await delete_path(full_path)
+    return Response(status_code=204, headers=_dav_headers())
+
+
+@router.api_route("/{path:path}", methods=["MKCOL"])
+async def dav_mkcol(path: str, user: User = Depends(_get_basic_user)):
+    full_path = _normalize_fs_path(path)
+    await make_dir(full_path)
+    return Response(status_code=201, headers=_dav_headers())
+
+
+def _parse_destination(dest: str) -> str:
+    if not dest:
+        raise HTTPException(400, detail="Missing Destination header")
+    p = urlparse(dest)
+    path = p.path if p.scheme else dest 
+    if path.startswith("/webdav"):
+        rel = path[len("/webdav"):]
+    else:
+        rel = path
+    return _normalize_fs_path(rel)
+
+
+@router.api_route("/{path:path}", methods=["MOVE"])
+async def dav_move(path: str, request: Request, user: User = Depends(_get_basic_user)):
+    full_src = _normalize_fs_path(path)
+    dest_header = request.headers.get("Destination")
+    dst = _parse_destination(dest_header or "")
+    overwrite = request.headers.get("Overwrite", "T").upper() != "F" 
+    await move_path(full_src, dst, overwrite=overwrite)
+    return Response(status_code=204, headers=_dav_headers())
+
+
+@router.api_route("/{path:path}", methods=["COPY"])
+async def dav_copy(path: str, request: Request, user: User = Depends(_get_basic_user)):
+    full_src = _normalize_fs_path(path)
+    dest_header = request.headers.get("Destination")
+    dst = _parse_destination(dest_header or "")
+    overwrite = request.headers.get("Overwrite", "T").upper() != "F"  
+    await copy_path(full_src, dst, overwrite=overwrite)
+    return Response(status_code=201 if not overwrite else 204, headers=_dav_headers())
+

entrypoint.sh

@@ -2,4 +2,4 @@
 set -e
 python migrate/run.py
 nginx -g 'daemon off;' &
-exec gunicorn -k uvicorn.workers.UvicornWorker -w 4 -b 0.0.0.0:8000 main:app
+exec gunicorn -k uvicorn.workers.UvicornWorker -w 1 -b 0.0.0.0:8000 main:app

main.py

@@ -1,3 +1,4 @@
+import os
 from services.config import VERSION, ConfigCenter
 from services.adapters.registry import runtime_registry
 from fastapi.middleware.cors import CORSMiddleware
@@ -15,6 +16,7 @@ load_dotenv()
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
+    os.makedirs("data/db", exist_ok=True)
     await init_db()
     await runtime_registry.refresh()
     await ConfigCenter.set("APP_VERSION", VERSION)
@@ -29,7 +31,7 @@ async def lifespan(app: FastAPI):
 def create_app() -> FastAPI:
     app = FastAPI(
         title="Foxel",
-        description="AList-like virtual storage aggregator",
+        description="A highly extensible private cloud storage solution for individuals and teams",
         lifespan=lifespan,
     )
     include_routers(app)

models/database.py

@@ -36,6 +36,81 @@ class Configuration(Model):
         table = "configurations"
 
 
+class AIProvider(Model):
+    id = fields.IntField(pk=True)
+    name = fields.CharField(max_length=100)
+    identifier = fields.CharField(max_length=100, unique=True)
+    provider_type = fields.CharField(max_length=50, null=True)
+    api_format = fields.CharField(max_length=20)
+    base_url = fields.CharField(max_length=512, null=True)
+    api_key = fields.CharField(max_length=512, null=True)
+    logo_url = fields.CharField(max_length=512, null=True)
+    extra_config = fields.JSONField(null=True)
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+
+    class Meta:
+        table = "ai_providers"
+
+
+class AIModel(Model):
+    id = fields.IntField(pk=True)
+    provider: fields.ForeignKeyRelation[AIProvider] = fields.ForeignKeyField(
+        "models.AIProvider", related_name="models", on_delete=fields.CASCADE
+    )
+    name = fields.CharField(max_length=255)
+    display_name = fields.CharField(max_length=255, null=True)
+    description = fields.TextField(null=True)
+    capabilities = fields.JSONField(null=True)
+    context_window = fields.IntField(null=True)
+    metadata = fields.JSONField(null=True)
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+
+    class Meta:
+        table = "ai_models"
+        unique_together = ("provider", "name")
+
+    @property
+    def embedding_dimensions(self) -> int | None:
+        metadata = self.metadata or {}
+        if not isinstance(metadata, dict):
+            return None
+        value = metadata.get("embedding_dimensions")
+        if value is None:
+            return None
+        try:
+            return int(value)
+        except (TypeError, ValueError):
+            return None
+
+    @embedding_dimensions.setter
+    def embedding_dimensions(self, value: int | None) -> None:
+        base_metadata = self.metadata if isinstance(self.metadata, dict) else {}
+        metadata = dict(base_metadata or {})
+        if value is None:
+            metadata.pop("embedding_dimensions", None)
+        else:
+            try:
+                metadata["embedding_dimensions"] = int(value)
+            except (TypeError, ValueError):
+                metadata.pop("embedding_dimensions", None)
+        self.metadata = metadata or None
+
+
+class AIDefaultModel(Model):
+    id = fields.IntField(pk=True)
+    ability = fields.CharField(max_length=50, unique=True)
+    model: fields.ForeignKeyRelation[AIModel] = fields.ForeignKeyField(
+        "models.AIModel", related_name="default_for", on_delete=fields.CASCADE
+    )
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+
+    class Meta:
+        table = "ai_default_models"
+
+
 class AutomationTask(Model):
     id = fields.IntField(pk=True)
     name = fields.CharField(max_length=100)

nginx.conf

@@ -28,7 +28,7 @@ http {
         listen 80;
         server_name _;
 
-        location ~ ^/(api|docs|openapi\.json$) {
+        location ~ ^/(api|webdav|docs|openapi\.json$) {
             proxy_pass http://127.0.0.1:8000;
             proxy_set_header Host $host;
             proxy_set_header X-Real-IP $remote_addr;

pyproject.toml

@@ -1,94 +1,26 @@
 [project]
 name = "foxel"
-version = "0.1.0"
-description = "Add your description here"
+version = "1"
+description = "foxel.cc"
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
-    "aioboto3==15.1.0",
-    "aiobotocore==2.24.0",
-    "aiofiles==24.1.0",
-    "aiohappyeyeballs==2.6.1",
-    "aiohttp==3.12.15",
-    "aioitertools==0.12.0",
-    "aiosignal==1.4.0",
-    "aiosqlite==0.21.0",
-    "annotated-types==0.7.0",
-    "anyio==4.10.0",
-    "asyncclick==8.2.2.2",
-    "attrs==25.3.0",
-    "bcrypt==4.3.0",
-    "boto3==1.39.11",
-    "botocore==1.39.11",
-    "certifi==2025.8.3",
-    "click==8.2.1",
-    "dictdiffer==0.9.0",
-    "dnspython==2.7.0",
-    "email-validator==2.2.0",
-    "fastapi==0.116.1",
-    "fastapi-cli==0.0.8",
-    "fastapi-cloud-cli==0.1.5",
-    "frozenlist==1.7.0",
-    "grpcio==1.74.0",
-    "h11==0.16.0",
-    "httpcore==1.0.9",
-    "httptools==0.6.4",
-    "httpx==0.28.1",
-    "idna==3.10",
-    "imageio==2.37.0",
-    "iso8601==2.1.0",
-    "jinja2==3.1.6",
-    "jmespath==1.0.1",
-    "markdown-it-py==4.0.0",
-    "markupsafe==3.0.2",
-    "mdurl==0.1.2",
-    "milvus-lite==2.5.1",
-    "multidict==6.6.4",
-    "numpy==2.3.2",
-    "pandas==2.3.1",
-    "passlib==1.7.4",
-    "pillow==11.3.0",
-    "propcache==0.3.2",
-    "protobuf==6.32.0",
-    "pyaes==1.6.1",
-    "pyasn1==0.6.1",
-    "pydantic==2.11.7",
-    "pydantic-core==2.33.2",
-    "pygments==2.19.2",
-    "pyjwt==2.10.1",
-    "pymilvus==2.6.0",
-    "pypika-tortoise==0.6.1",
-    "pysocks==1.7.1",
-    "python-dateutil==2.9.0.post0",
-    "python-dotenv==1.1.1",
-    "python-multipart==0.0.20",
-    "pytz==2025.2",
-    "pyyaml==6.0.2",
-    "rawpy==0.25.1",
-    "rich==14.1.0",
-    "rich-toolkit==0.15.0",
-    "rignore==0.6.4",
-    "rsa==4.9.1",
-    "s3transfer==0.13.1",
-    "sentry-sdk==2.35.0",
-    "setuptools==80.9.0",
-    "shellingham==1.5.4",
-    "six==1.17.0",
-    "sniffio==1.3.1",
-    "starlette==0.47.2",
-    "telethon==1.40.0",
-    "tortoise-orm==0.25.1",
-    "tqdm==4.67.1",
-    "typer==0.16.0",
-    "typing-extensions==4.14.1",
-    "typing-inspection==0.4.1",
-    "tzdata==2025.2",
-    "ujson==5.10.0",
-    "urllib3==2.5.0",
-    "uvicorn==0.35.0",
-    "uvloop==0.21.0",
-    "watchfiles==1.1.0",
-    "websockets==15.0.1",
-    "wrapt==1.17.3",
-    "yarl==1.20.1",
+    "aioboto3>=15.2.0",
+    "aiofiles>=25.1.0",
+    "fastapi>=0.116.1",
+    "passlib[bcrypt]>=1.7.4",
+    "bcrypt>=3.2.2,<4.0",
+    "pillow>=11.3.0",
+    "pyjwt>=2.10.1",
+    "pysocks>=1.7.1",
+    "python-dotenv>=1.1.1",
+    "python-multipart>=0.0.20",
+    "qdrant-client>=1.15.1",
+    "rawpy>=0.25.1",
+    "telethon>=1.41.2",
+    "tortoise-orm>=0.25.1",
+    "uvicorn>=0.37.0",
+    "pymilvus[milvus-lite]>=2.6.2",
+    "paramiko>=4.0.0",
+    "pydantic[email]>=2.11.7",
 ]

schemas/ai.py

@@ -0,0 +1,101 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field, field_validator
+
+from services.ai_providers import ABILITIES, normalize_capabilities
+
+
+class AIProviderBase(BaseModel):
+    name: str
+    identifier: str = Field(..., pattern=r"^[a-z0-9_\-\.]+$")
+    provider_type: Optional[str] = None
+    api_format: str
+    base_url: Optional[str] = None
+    api_key: Optional[str] = None
+    logo_url: Optional[str] = None
+    extra_config: Optional[dict] = None
+
+    @field_validator("api_format")
+    def normalize_format(cls, value: str) -> str:
+        fmt = value.lower()
+        if fmt not in {"openai", "gemini"}:
+            raise ValueError("api_format must be 'openai' or 'gemini'")
+        return fmt
+
+
+class AIProviderCreate(AIProviderBase):
+    pass
+
+
+class AIProviderUpdate(BaseModel):
+    name: Optional[str] = None
+    provider_type: Optional[str] = None
+    api_format: Optional[str] = None
+    base_url: Optional[str] = None
+    api_key: Optional[str] = None
+    logo_url: Optional[str] = None
+    extra_config: Optional[dict] = None
+
+    @field_validator("api_format")
+    def normalize_format(cls, value: Optional[str]) -> Optional[str]:
+        if value is None:
+            return value
+        fmt = value.lower()
+        if fmt not in {"openai", "gemini"}:
+            raise ValueError("api_format must be 'openai' or 'gemini'")
+        return fmt
+
+
+class AIModelBase(BaseModel):
+    name: str
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    capabilities: Optional[List[str]] = None
+    context_window: Optional[int] = None
+    embedding_dimensions: Optional[int] = None
+    metadata: Optional[dict] = None
+
+    @field_validator("capabilities")
+    def validate_capabilities(cls, items: Optional[List[str]]) -> Optional[List[str]]:
+        if items is None:
+            return None
+        normalized = normalize_capabilities(items)
+        invalid = set(items) - set(normalized)
+        if invalid:
+            raise ValueError(f"Unsupported capabilities: {', '.join(invalid)}")
+        return normalized
+
+
+class AIModelCreate(AIModelBase):
+    pass
+
+
+class AIModelUpdate(BaseModel):
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    capabilities: Optional[List[str]] = None
+    context_window: Optional[int] = None
+    embedding_dimensions: Optional[int] = None
+    metadata: Optional[dict] = None
+
+    @field_validator("capabilities")
+    def validate_capabilities(cls, items: Optional[List[str]]) -> Optional[List[str]]:
+        if items is None:
+            return None
+        normalized = normalize_capabilities(items)
+        invalid = set(items) - set(normalized)
+        if invalid:
+            raise ValueError(f"Unsupported capabilities: {', '.join(invalid)}")
+        return normalized
+
+
+class AIDefaultsUpdate(BaseModel):
+    chat: Optional[int] = None
+    vision: Optional[int] = None
+    embedding: Optional[int] = None
+    rerank: Optional[int] = None
+    voice: Optional[int] = None
+    tools: Optional[int] = None
+
+    def as_mapping(self) -> dict:
+        return {ability: getattr(self, ability) for ability in ABILITIES}

schemas/email.py

@@ -0,0 +1,18 @@
+from typing import Any, Dict
+
+from pydantic import BaseModel, EmailStr, Field
+
+
+class EmailTestRequest(BaseModel):
+    to: EmailStr
+    subject: str = Field(..., min_length=1)
+    template: str = Field(default="test", min_length=1)
+    context: Dict[str, Any] = Field(default_factory=dict)
+
+
+class EmailTemplateUpdate(BaseModel):
+    content: str
+
+
+class EmailTemplatePreviewPayload(BaseModel):
+    context: Dict[str, Any] = Field(default_factory=dict)

schemas/fs.py

@@ -8,7 +8,7 @@ class VfsEntry(BaseModel):
     size: int
     mtime: int
     type: Optional[str] = None
-    is_image: Optional[bool] = None
+    has_thumbnail: Optional[bool] = None
 
 
 class DirListing(BaseModel):
@@ -21,6 +21,13 @@ class SearchResultItem(BaseModel):
     id: int | str
     path: str
     score: float
+    chunk_id: Optional[str] = None
+    snippet: Optional[str] = None
+    mime: Optional[str] = None
+    source_type: Optional[str] = None
+    start_offset: Optional[int] = None
+    end_offset: Optional[int] = None
+    metadata: Optional[dict] = None
 
 
 class MkdirRequest(BaseModel):

schemas/offline_downloads.py

@@ -0,0 +1,7 @@
+from pydantic import BaseModel, HttpUrl, Field
+
+
+class OfflineDownloadCreate(BaseModel):
+    url: HttpUrl
+    dest_dir: str = Field(..., min_length=1)
+    filename: str = Field(..., min_length=1)

schemas/tasks.py

@@ -1,4 +1,4 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 from typing import Optional, Dict, Any
 
 
@@ -29,3 +29,11 @@ class AutomationTaskRead(AutomationTaskBase):
 
     class Config:
         from_attributes = True
+
+
+class TaskQueueSettings(BaseModel):
+    concurrency: int = Field(..., ge=1, description="Desired number of concurrent task workers")
+
+
+class TaskQueueSettingsResponse(TaskQueueSettings):
+    active_workers: int = Field(..., ge=0, description="Currently running worker count")

services/adapters/ftp.py

@@ -0,0 +1,628 @@
+from __future__ import annotations
+
+import asyncio
+from dataclasses import dataclass
+from typing import List, Dict, Tuple, AsyncIterator, Optional
+
+from fastapi import HTTPException
+from fastapi.responses import StreamingResponse
+from ftplib import FTP, error_perm
+import mimetypes
+
+from models import StorageAdapter
+from services.logging import LogService
+
+
+def _join_remote(root: str, rel: str) -> str:
+    root = (root or "/").rstrip("/") or "/"
+    rel = (rel or "").lstrip("/")
+    if not rel:
+        return root
+    return f"{root}/{rel}"
+
+
+def _parse_mlst_line(line: str) -> Dict[str, str]:
+    out: Dict[str, str] = {}
+    try:
+        facts, _, name = line.partition(" ")
+        for part in facts.split(";"):
+            if not part or "=" not in part:
+                continue
+            k, v = part.split("=", 1)
+            out[k.strip().lower()] = v.strip()
+        if name:
+            out["name"] = name.strip()
+    except Exception:
+        pass
+    return out
+
+
+def _parse_modify_to_epoch(mod: str) -> int:
+    # Formats we may see: YYYYMMDDHHMMSS or YYYYMMDDHHMMSS(.sss)
+    try:
+        mod = mod.strip()
+        mod = mod.split(".")[0]
+        if len(mod) >= 14:
+            y = int(mod[0:4])
+            m = int(mod[4:6])
+            d = int(mod[6:8])
+            hh = int(mod[8:10])
+            mm = int(mod[10:12])
+            ss = int(mod[12:14])
+            import datetime as _dt
+            return int(_dt.datetime(y, m, d, hh, mm, ss, tzinfo=_dt.timezone.utc).timestamp())
+    except Exception:
+        return 0
+    return 0
+
+
+@dataclass
+class _Range:
+    start: int
+    end: Optional[int]  # inclusive
+
+
+class FTPAdapter:
+    def __init__(self, record: StorageAdapter):
+        self.record = record
+        cfg = record.config
+        self.host: str = cfg.get("host")
+        self.port: int = int(cfg.get("port", 21))
+        self.username: Optional[str] = cfg.get("username")
+        self.password: Optional[str] = cfg.get("password")
+        self.passive: bool = bool(cfg.get("passive", True))
+        self.timeout: int = int(cfg.get("timeout", 15))
+        self.root_path: str = cfg.get("root", "/") or "/"
+
+        if not self.host:
+            raise ValueError("FTP adapter requires 'host'")
+
+    def get_effective_root(self, sub_path: str | None) -> str:
+        base = self.root_path.rstrip("/") or "/"
+        if sub_path:
+            return _join_remote(base, sub_path)
+        return base
+
+    def _connect(self) -> FTP:
+        ftp = FTP()
+        ftp.connect(self.host, self.port, timeout=self.timeout)
+        if self.username:
+            ftp.login(self.username, self.password or "")
+        else:
+            ftp.login()
+        ftp.set_pasv(self.passive)
+        return ftp
+
+    async def list_dir(self, root: str, rel: str, page_num: int = 1, page_size: int = 50, sort_by: str = "name", sort_order: str = "asc") -> Tuple[List[Dict], int]:
+        path = _join_remote(root, rel.strip('/'))
+
+        def _do_list() -> List[Dict]:
+            ftp = self._connect()
+            try:
+                ftp.cwd(path)
+            except error_perm as e:
+                # path may be file
+                ftp.quit()
+                raise NotADirectoryError(rel) from e
+
+            entries: List[Dict] = []
+            # Try MLSD first
+            try:
+                for name, facts in ftp.mlsd():
+                    if name in (".", ".."):
+                        continue
+                    is_dir = (facts.get("type") == "dir")
+                    size = int(facts.get("size") or 0)
+                    mtime = _parse_modify_to_epoch(facts.get("modify") or "")
+                    entries.append({
+                        "name": name,
+                        "is_dir": is_dir,
+                        "size": 0 if is_dir else size,
+                        "mtime": mtime,
+                        "type": "dir" if is_dir else "file",
+                    })
+                ftp.quit()
+                return entries
+            except Exception:
+                # Fallback to NLST + probing
+                pass
+
+            names = []
+            try:
+                names = ftp.nlst()
+            except Exception:
+                ftp.quit()
+                return []
+
+            for name in names:
+                if name in (".", ".."):
+                    continue
+                is_dir = False
+                size = 0
+                mtime = 0
+                try:
+                    # If we can CWD, it's a directory
+                    ftp.cwd(_join_remote(path, name))
+                    ftp.cwd(path)
+                    is_dir = True
+                except Exception:
+                    is_dir = False
+                    try:
+                        size = ftp.size(_join_remote(path, name)) or 0
+                    except Exception:
+                        size = 0
+                try:
+                    mdtm = ftp.sendcmd("MDTM " + _join_remote(path, name))
+                    # Example: '213 20241012XXXXXX'
+                    if mdtm.startswith("213 "):
+                        mtime = _parse_modify_to_epoch(mdtm.split(" ", 1)[1])
+                except Exception:
+                    pass
+                entries.append({
+                    "name": name,
+                    "is_dir": is_dir,
+                    "size": 0 if is_dir else int(size or 0),
+                    "mtime": int(mtime or 0),
+                    "type": "dir" if is_dir else "file",
+                })
+            ftp.quit()
+            return entries
+
+        entries = await asyncio.to_thread(_do_list)
+
+        reverse = sort_order.lower() == "desc"
+
+        def get_sort_key(item):
+            key = (not item["is_dir"],)
+            f = sort_by.lower()
+            if f == "name":
+                key += (item["name"].lower(),)
+            elif f == "size":
+                key += (item.get("size", 0),)
+            elif f == "mtime":
+                key += (item.get("mtime", 0),)
+            else:
+                key += (item["name"].lower(),)
+            return key
+
+        entries.sort(key=get_sort_key, reverse=reverse)
+        total = len(entries)
+        start = (page_num - 1) * page_size
+        end = start + page_size
+        return entries[start:end], total
+
+    async def read_file(self, root: str, rel: str) -> bytes:
+        path = _join_remote(root, rel)
+
+        def _do_read() -> bytes:
+            ftp = self._connect()
+            try:
+                chunks: List[bytes] = []
+                ftp.retrbinary("RETR " + path, lambda b: chunks.append(b))
+                return b"".join(chunks)
+            except error_perm as e:
+                if str(e).startswith("550"):
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_read)
+
+    async def write_file(self, root: str, rel: str, data: bytes):
+        path = _join_remote(root, rel)
+
+        def _ensure_dirs(ftp: FTP, dir_path: str):
+            parts = [p for p in dir_path.strip("/").split("/") if p]
+            cur = "/"
+            for p in parts:
+                cur = _join_remote(cur, p)
+                try:
+                    ftp.mkd(cur)
+                except Exception:
+                    pass
+
+        def _do_write():
+            ftp = self._connect()
+            try:
+                parent = "/" if "/" not in path.strip("/") else path.rsplit("/", 1)[0]
+                _ensure_dirs(ftp, parent)
+                from io import BytesIO
+                bio = BytesIO(data)
+                ftp.storbinary("STOR " + path, bio)
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_write)
+        await LogService.info(
+            "adapter:ftp",
+            f"Wrote file to {rel}",
+            details={"adapter_id": self.record.id, "path": path, "size": len(data)},
+        )
+
+    async def write_file_stream(self, root: str, rel: str, data_iter: AsyncIterator[bytes]):
+        # KISS: 聚合后一次性写入
+        buf = bytearray()
+        async for chunk in data_iter:
+            if chunk:
+                buf.extend(chunk)
+        await self.write_file(root, rel, bytes(buf))
+        return len(buf)
+
+    async def mkdir(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_mkdir():
+            ftp = self._connect()
+            try:
+                parts = [p for p in path.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        ftp.mkd(cur)
+                    except Exception:
+                        pass
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_mkdir)
+        await LogService.info("adapter:ftp", f"Created directory {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def delete(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_delete():
+            ftp = self._connect()
+            try:
+                # Try file delete
+                try:
+                    ftp.delete(path)
+                    return
+                except Exception:
+                    pass
+
+                # Recursively delete dir
+                def _rm_tree(dir_path: str):
+                    try:
+                        ftp.cwd(dir_path)
+                    except Exception:
+                        return
+                    items = []
+                    try:
+                        for name, facts in ftp.mlsd():
+                            if name in (".", ".."):
+                                continue
+                            items.append((name, facts.get("type") == "dir"))
+                    except Exception:
+                        try:
+                            names = ftp.nlst()
+                        except Exception:
+                            names = []
+                        for n in names:
+                            if n in (".", ".."):
+                                continue
+                            # Best-effort dir check
+                            try:
+                                ftp.cwd(_join_remote(dir_path, n))
+                                ftp.cwd(dir_path)
+                                items.append((n, True))
+                            except Exception:
+                                items.append((n, False))
+                    for n, is_dir in items:
+                        child = _join_remote(dir_path, n)
+                        if is_dir:
+                            _rm_tree(child)
+                        else:
+                            try:
+                                ftp.delete(child)
+                            except Exception:
+                                pass
+                    try:
+                        ftp.rmd(dir_path)
+                    except Exception:
+                        pass
+
+                _rm_tree(path)
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_delete)
+        await LogService.info("adapter:ftp", f"Deleted {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def move(self, root: str, src_rel: str, dst_rel: str):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        def _do_move():
+            ftp = self._connect()
+            try:
+                # Ensure dst parent exists
+                parent = "/" if "/" not in dst.strip("/") else dst.rsplit("/", 1)[0]
+                parts = [p for p in parent.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        ftp.mkd(cur)
+                    except Exception:
+                        pass
+                ftp.rename(src, dst)
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_move)
+        await LogService.info("adapter:ftp", f"Moved {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def rename(self, root: str, src_rel: str, dst_rel: str):
+        await self.move(root, src_rel, dst_rel)
+
+    async def copy(self, root: str, src_rel: str, dst_rel: str, overwrite: bool = False):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        # naive implementation: download then upload; recursively for dirs
+        async def _is_dir(path: str) -> bool:
+            def _probe() -> bool:
+                ftp = self._connect()
+                try:
+                    try:
+                        ftp.cwd(path)
+                        return True
+                    except Exception:
+                        return False
+                finally:
+                    try:
+                        ftp.quit()
+                    except Exception:
+                        pass
+            return await asyncio.to_thread(_probe)
+
+        if await _is_dir(src):
+            # list children, create dst dir, copy recursively
+            await self.mkdir(root, dst_rel)
+
+            children, _ = await self.list_dir(root, src_rel, page_num=1, page_size=10_000)
+            for ent in children:
+                child_src = f"{src_rel.rstrip('/')}/{ent['name']}"
+                child_dst = f"{dst_rel.rstrip('/')}/{ent['name']}"
+                await self.copy(root, child_src, child_dst, overwrite)
+            await LogService.info(
+                "adapter:ftp", f"Copied directory {src_rel} to {dst_rel}",
+                details={"adapter_id": self.record.id, "src": src, "dst": dst}
+            )
+            return
+
+        # file
+        data = await self.read_file(root, src_rel)
+        if not overwrite:
+            # best-effort existence check
+            try:
+                await self.stat_file(root, dst_rel)
+                raise FileExistsError(dst_rel)
+            except FileNotFoundError:
+                pass
+        await self.write_file(root, dst_rel, data)
+        await LogService.info("adapter:ftp", f"Copied {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def stat_file(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_stat():
+            ftp = self._connect()
+            try:
+                # Try MLST
+                try:
+                    resp: List[str] = []
+                    ftp.retrlines("MLST " + path, resp.append)
+                    # The last line usually contains facts
+                    facts = {}
+                    if resp:
+                        facts = _parse_mlst_line(resp[-1])
+                    name = rel.split("/")[-1]
+                    t = facts.get("type") or "file"
+                    is_dir = t == "dir"
+                    size = int(facts.get("size") or 0)
+                    mtime = _parse_modify_to_epoch(facts.get("modify") or "")
+                    return {
+                        "name": name,
+                        "is_dir": is_dir,
+                        "size": 0 if is_dir else size,
+                        "mtime": mtime,
+                        "type": "dir" if is_dir else "file",
+                        "path": path,
+                    }
+                except Exception:
+                    pass
+
+                # Probe directory
+                try:
+                    ftp.cwd(path)
+                    return {
+                        "name": rel.split("/")[-1],
+                        "is_dir": True,
+                        "size": 0,
+                        "mtime": 0,
+                        "type": "dir",
+                        "path": path,
+                    }
+                except Exception:
+                    pass
+
+                # Treat as file
+                try:
+                    size = ftp.size(path) or 0
+                except Exception:
+                    size = 0
+                try:
+                    mdtm = ftp.sendcmd("MDTM " + path)
+                    mtime = _parse_modify_to_epoch(mdtm.split(" ", 1)[1]) if mdtm.startswith("213 ") else 0
+                except Exception:
+                    mtime = 0
+                return {
+                    "name": rel.split("/")[-1],
+                    "is_dir": False,
+                    "size": int(size or 0),
+                    "mtime": int(mtime or 0),
+                    "type": "file",
+                    "path": path,
+                }
+            except error_perm as e:
+                if str(e).startswith("550"):
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_stat)
+
+    async def stream_file(self, root: str, rel: str, range_header: str | None):
+        path = _join_remote(root, rel)
+        # Get size (best-effort)
+        def _get_size() -> Optional[int]:
+            ftp = self._connect()
+            try:
+                try:
+                    return int(ftp.size(path) or 0)
+                except Exception:
+                    return None
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        total_size = await asyncio.to_thread(_get_size)
+        mime, _ = mimetypes.guess_type(rel)
+        content_type = mime or "application/octet-stream"
+
+        rng: Optional[_Range] = None
+        status = 200
+        headers = {"Accept-Ranges": "bytes", "Content-Type": content_type}
+        if range_header and range_header.startswith("bytes=") and total_size is not None:
+            try:
+                s, e = (range_header.removeprefix("bytes=").split("-", 1))
+                start = int(s) if s.strip() else 0
+                end = int(e) if e.strip() else (total_size - 1)
+                if start >= total_size:
+                    raise HTTPException(416, detail="Requested Range Not Satisfiable")
+                if end >= total_size:
+                    end = total_size - 1
+                rng = _Range(start, end)
+                status = 206
+                headers["Content-Range"] = f"bytes {start}-{end}/{total_size}"
+                headers["Content-Length"] = str(end - start + 1)
+            except ValueError:
+                raise HTTPException(400, detail="Invalid Range header")
+        elif total_size is not None:
+            headers["Content-Length"] = str(total_size)
+
+        queue: asyncio.Queue[Optional[bytes]] = asyncio.Queue(maxsize=8)
+
+        class _Stop(Exception):
+            pass
+
+        def _worker():
+            ftp = self._connect()
+            remaining = None
+            if rng is not None:
+                remaining = (rng.end - rng.start + 1) if rng.end is not None else None
+
+            def _cb(chunk: bytes):
+                nonlocal remaining
+                if not chunk:
+                    return
+                try:
+                    if remaining is not None:
+                        if len(chunk) > remaining:
+                            part = chunk[:remaining]
+                            queue.put_nowait(part)
+                            remaining = 0
+                            raise _Stop()
+                        else:
+                            queue.put_nowait(chunk)
+                            remaining -= len(chunk)
+                            if remaining <= 0:
+                                raise _Stop()
+                    else:
+                        queue.put_nowait(chunk)
+                except _Stop:
+                    raise
+                except Exception:
+                    # queue full or event loop closed
+                    raise _Stop()
+
+            try:
+                if rng is not None:
+                    ftp.retrbinary("RETR " + path, _cb, rest=rng.start)
+                else:
+                    ftp.retrbinary("RETR " + path, _cb)
+                queue.put_nowait(None)
+            except _Stop:
+                try:
+                    queue.put_nowait(None)
+                except Exception:
+                    pass
+            except error_perm as e:
+                try:
+                    queue.put_nowait(None)
+                except Exception:
+                    pass
+                if str(e).startswith("550"):
+                    pass
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        async def agen():
+            worker_fut = asyncio.to_thread(_worker)
+            try:
+                while True:
+                    chunk = await queue.get()
+                    if chunk is None:
+                        break
+                    yield chunk
+            finally:
+                try:
+                    await worker_fut
+                except Exception:
+                    pass
+
+        return StreamingResponse(agen(), status_code=status, headers=headers, media_type=content_type)
+
+
+ADAPTER_TYPE = "ftp"
+
+CONFIG_SCHEMA = [
+    {"key": "host", "label": "主机", "type": "string", "required": True, "placeholder": "ftp.example.com"},
+    {"key": "port", "label": "端口", "type": "number", "required": False, "default": 21},
+    {"key": "username", "label": "用户名", "type": "string", "required": False},
+    {"key": "password", "label": "密码", "type": "password", "required": False},
+    {"key": "passive", "label": "被动模式", "type": "boolean", "required": False, "default": True},
+    {"key": "timeout", "label": "超时(秒)", "type": "number", "required": False, "default": 15},
+    {"key": "root", "label": "根路径", "type": "string", "required": False, "default": "/"},
+]
+
+
+def ADAPTER_FACTORY(rec: StorageAdapter):
+    return FTPAdapter(rec)

services/adapters/onedrive.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 from datetime import datetime, timezone, timedelta
 from typing import List, Dict, Tuple, AsyncIterator
 import httpx
-from fastapi.responses import StreamingResponse
+from fastapi.responses import StreamingResponse, Response
 from fastapi import HTTPException
 from models import StorageAdapter
 
@@ -20,6 +20,7 @@ class OneDriveAdapter:
         self.client_secret = cfg.get("client_secret")
         self.refresh_token = cfg.get("refresh_token")
         self.root = cfg.get("root", "/").strip("/")
+        self.enable_redirect_307 = bool(cfg.get("enable_direct_download_307"))
 
         if not all([self.client_id, self.client_secret, self.refresh_token]):
             raise ValueError(
@@ -380,6 +381,26 @@ class OneDriveAdapter:
 
         return StreamingResponse(file_iterator(), status_code=status, headers=headers, media_type=content_type)
 
+    async def get_direct_download_response(self, root: str, rel: str):
+        if not self.enable_redirect_307:
+            return None
+
+        api_path = self._get_api_path(rel)
+        if not api_path:
+            raise IsADirectoryError("不能对目录进行直链重定向")
+
+        resp = await self._request("GET", api_path_segment=api_path)
+        if resp.status_code == 404:
+            raise FileNotFoundError(rel)
+        resp.raise_for_status()
+
+        item_data = resp.json()
+        download_url = item_data.get("@microsoft.graph.downloadUrl")
+        if not download_url:
+            return None
+
+        return Response(status_code=307, headers={"Location": download_url})
+
     async def get_thumbnail(self, root: str, rel: str, size: str = "medium"):
         """
         获取文件的缩略图。
@@ -434,6 +455,7 @@ CONFIG_SCHEMA = [
         "required": True, "help_text": "可以通过运行 'python -m services.adapters.onedrive' 获取"},
     {"key": "root", "label": "根目录 (Root Path)", "type": "string",
      "required": False, "placeholder": "默认为根目录 /"},
+    {"key": "enable_direct_download_307", "label": "Enable 307 redirect download", "type": "boolean", "default": False},
 ]
 
 

services/adapters/quark.py

@@ -34,8 +34,15 @@ class QuarkAdapter:
         cfg = record.config or {}
         self.cookie: str = cfg.get("cookie") or cfg.get("Cookie")
         self.root_fid: str = cfg.get("root_fid", "0")
-        self.use_transcoding_address: bool = bool(cfg.get("use_transcoding_address", False))
-        self.only_list_video_file: bool = bool(cfg.get("only_list_video_file", False))
+        def _as_bool(value: Any) -> bool:
+            if isinstance(value, bool):
+                return value
+            if isinstance(value, str):
+                return value.strip().lower() in {"1", "true", "yes", "on"}
+            return bool(value)
+
+        self.use_transcoding_address: bool = _as_bool(cfg.get("use_transcoding_address", False))
+        self.only_list_video_file: bool = _as_bool(cfg.get("only_list_video_file", False))
 
         if not self.cookie:
             raise ValueError("Quark 适配器需要 cookie 配置")
@@ -716,8 +723,8 @@ ADAPTER_TYPE = "Quark"
 CONFIG_SCHEMA = [
     {"key": "cookie", "label": "Cookie", "type": "password", "required": True, "placeholder": "从 pan.quark.cn 复制"},
     {"key": "root_fid", "label": "根 FID", "type": "string", "required": False, "default": "0"},
-    {"key": "use_transcoding_address", "label": "视频转码直链", "type": "checkbox", "required": False, "default": False},
-    {"key": "only_list_video_file", "label": "仅列出视频文件", "type": "checkbox", "required": False, "default": False},
+    {"key": "use_transcoding_address", "label": "视频转码直链", "type": "boolean", "required": False, "default": False},
+    {"key": "only_list_video_file", "label": "仅列出视频文件", "type": "boolean", "required": False, "default": False},
 ]
 
 def ADAPTER_FACTORY(rec: StorageAdapter) -> BaseAdapter:

services/adapters/sftp.py

@@ -0,0 +1,447 @@
+from __future__ import annotations
+
+import asyncio
+import mimetypes
+import stat as statmod
+from typing import List, Dict, Tuple, AsyncIterator, Optional
+
+from fastapi import HTTPException
+from fastapi.responses import StreamingResponse
+import paramiko
+
+from models import StorageAdapter
+from services.logging import LogService
+
+
+def _join_remote(root: str, rel: str) -> str:
+    root = (root or "/").rstrip("/") or "/"
+    rel = (rel or "").lstrip("/")
+    if not rel:
+        return root
+    return f"{root}/{rel}"
+
+
+class SFTPAdapter:
+    def __init__(self, record: StorageAdapter):
+        self.record = record
+        cfg = record.config
+        self.host: str = cfg.get("host")
+        self.port: int = int(cfg.get("port", 22))
+        self.username: str | None = cfg.get("username")
+        self.password: str | None = cfg.get("password")
+        self.timeout: int = int(cfg.get("timeout", 15))
+        self.root_path: str = cfg.get("root")  # 必填
+        self.allow_unknown_host: bool = bool(cfg.get("allow_unknown_host", True))
+
+        if not self.host:
+            raise ValueError("SFTP adapter requires 'host'")
+        if not self.username or not self.password:
+            raise ValueError("SFTP adapter requires 'username' and 'password'")
+        if not self.root_path:
+            raise ValueError("SFTP adapter requires 'root'")
+
+    def get_effective_root(self, sub_path: str | None) -> str:
+        base = self.root_path.rstrip("/") or "/"
+        if sub_path:
+            return _join_remote(base, sub_path)
+        return base
+
+    def _connect(self) -> paramiko.SFTPClient:
+        ssh = paramiko.SSHClient()
+        if self.allow_unknown_host:
+            ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
+        ssh.connect(
+            hostname=self.host,
+            port=self.port,
+            username=self.username,
+            password=self.password,
+            timeout=self.timeout,
+            allow_agent=False,
+            look_for_keys=False,
+        )
+        return ssh.open_sftp()
+
+    async def list_dir(self, root: str, rel: str, page_num: int = 1, page_size: int = 50, sort_by: str = "name", sort_order: str = "asc") -> Tuple[List[Dict], int]:
+        path = _join_remote(root, rel)
+
+        def _do_list() -> List[Dict]:
+            sftp = self._connect()
+            try:
+                attrs = sftp.listdir_attr(path)
+                entries: List[Dict] = []
+                for a in attrs:
+                    name = a.filename
+                    is_dir = statmod.S_ISDIR(a.st_mode)
+                    entries.append({
+                        "name": name,
+                        "is_dir": is_dir,
+                        "size": 0 if is_dir else int(a.st_size or 0),
+                        "mtime": int(a.st_mtime or 0),
+                        "type": "dir" if is_dir else "file",
+                    })
+                return entries
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        entries = await asyncio.to_thread(_do_list)
+
+        reverse = sort_order.lower() == "desc"
+
+        def get_sort_key(item):
+            key = (not item["is_dir"],)
+            f = sort_by.lower()
+            if f == "name":
+                key += (item["name"].lower(),)
+            elif f == "size":
+                key += (item.get("size", 0),)
+            elif f == "mtime":
+                key += (item.get("mtime", 0),)
+            else:
+                key += (item["name"].lower(),)
+            return key
+
+        entries.sort(key=get_sort_key, reverse=reverse)
+        total = len(entries)
+        start = (page_num - 1) * page_size
+        end = start + page_size
+        return entries[start:end], total
+
+    async def read_file(self, root: str, rel: str) -> bytes:
+        path = _join_remote(root, rel)
+
+        def _do_read() -> bytes:
+            sftp = self._connect()
+            try:
+                with sftp.open(path, "rb") as f:
+                    return f.read()
+            except FileNotFoundError:
+                raise
+            except IOError as e:
+                if getattr(e, "errno", None) == 2:
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_read)
+
+    async def write_file(self, root: str, rel: str, data: bytes):
+        path = _join_remote(root, rel)
+
+        def _ensure_dirs(sftp: paramiko.SFTPClient, dir_path: str):
+            parts = [p for p in dir_path.strip("/").split("/") if p]
+            cur = "/"
+            for p in parts:
+                cur = _join_remote(cur, p)
+                try:
+                    sftp.mkdir(cur)
+                except IOError:
+                    # likely exists
+                    pass
+
+        def _do_write():
+            sftp = self._connect()
+            try:
+                parent = "/" if "/" not in path.strip("/") else path.rsplit("/", 1)[0]
+                _ensure_dirs(sftp, parent)
+                with sftp.open(path, "wb") as f:
+                    f.write(data)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_write)
+        await LogService.info("adapter:sftp", f"Wrote file to {rel}", details={"adapter_id": self.record.id, "path": path, "size": len(data)})
+
+    async def write_file_stream(self, root: str, rel: str, data_iter: AsyncIterator[bytes]):
+        buf = bytearray()
+        async for chunk in data_iter:
+            if chunk:
+                buf.extend(chunk)
+        await self.write_file(root, rel, bytes(buf))
+        return len(buf)
+
+    async def mkdir(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_mkdir():
+            sftp = self._connect()
+            try:
+                parts = [p for p in path.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        sftp.mkdir(cur)
+                    except IOError:
+                        pass
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_mkdir)
+        await LogService.info("adapter:sftp", f"Created directory {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def delete(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_delete():
+            sftp = self._connect()
+            try:
+                # Try file remove first
+                try:
+                    sftp.remove(path)
+                    return
+                except IOError:
+                    pass
+
+                def _rm_tree(dp: str):
+                    try:
+                        for a in sftp.listdir_attr(dp):
+                            child = _join_remote(dp, a.filename)
+                            if statmod.S_ISDIR(a.st_mode):
+                                _rm_tree(child)
+                            else:
+                                try:
+                                    sftp.remove(child)
+                                except Exception:
+                                    pass
+                        sftp.rmdir(dp)
+                    except IOError:
+                        pass
+
+                _rm_tree(path)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_delete)
+        await LogService.info("adapter:sftp", f"Deleted {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def move(self, root: str, src_rel: str, dst_rel: str):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        def _do_move():
+            sftp = self._connect()
+            try:
+                # ensure dst parent exists
+                parent = "/" if "/" not in dst.strip("/") else dst.rsplit("/", 1)[0]
+                parts = [p for p in parent.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        sftp.mkdir(cur)
+                    except IOError:
+                        pass
+                sftp.rename(src, dst)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_move)
+        await LogService.info("adapter:sftp", f"Moved {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def rename(self, root: str, src_rel: str, dst_rel: str):
+        await self.move(root, src_rel, dst_rel)
+
+    async def copy(self, root: str, src_rel: str, dst_rel: str, overwrite: bool = False):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        def _is_dir() -> bool:
+            sftp = self._connect()
+            try:
+                st = sftp.stat(src)
+                return statmod.S_ISDIR(st.st_mode)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        if await asyncio.to_thread(_is_dir):
+            await self.mkdir(root, dst_rel)
+
+            children, _ = await self.list_dir(root, src_rel, page_num=1, page_size=10_000)
+            for ent in children:
+                child_src = f"{src_rel.rstrip('/')}/{ent['name']}"
+                child_dst = f"{dst_rel.rstrip('/')}/{ent['name']}"
+                await self.copy(root, child_src, child_dst, overwrite)
+            await LogService.info("adapter:sftp", f"Copied directory {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+            return
+
+        # file copy
+        data = await self.read_file(root, src_rel)
+        if not overwrite:
+            try:
+                await self.stat_file(root, dst_rel)
+                raise FileExistsError(dst_rel)
+            except FileNotFoundError:
+                pass
+        await self.write_file(root, dst_rel, data)
+        await LogService.info("adapter:sftp", f"Copied {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def stat_file(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_stat():
+            sftp = self._connect()
+            try:
+                st = sftp.stat(path)
+                is_dir = statmod.S_ISDIR(st.st_mode)
+                info = {
+                    "name": rel.split("/")[-1],
+                    "is_dir": is_dir,
+                    "size": 0 if is_dir else int(st.st_size or 0),
+                    "mtime": int(st.st_mtime or 0),
+                    "type": "dir" if is_dir else "file",
+                    "path": path,
+                }
+                return info
+            except FileNotFoundError:
+                raise
+            except IOError as e:
+                if getattr(e, "errno", None) == 2:
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_stat)
+
+    async def exists(self, root: str, rel: str) -> bool:
+        try:
+            await self.stat_file(root, rel)
+            return True
+        except FileNotFoundError:
+            return False
+        except Exception:
+            return False
+
+    async def stream_file(self, root: str, rel: str, range_header: str | None):
+        path = _join_remote(root, rel)
+
+        def _get_stat():
+            sftp = self._connect()
+            try:
+                st = sftp.stat(path)
+                return int(st.st_size or 0)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        file_size = await asyncio.to_thread(_get_stat)
+        if file_size is None:
+            raise HTTPException(404, detail="File not found")
+
+        mime, _ = mimetypes.guess_type(rel)
+        content_type = mime or "application/octet-stream"
+
+        start = 0
+        end = file_size - 1
+        status = 200
+        headers = {
+            "Accept-Ranges": "bytes",
+            "Content-Type": content_type,
+            "Content-Length": str(file_size),
+        }
+
+        if range_header and range_header.startswith("bytes="):
+            try:
+                s, e = (range_header.removeprefix("bytes=").split("-", 1))
+                if s.strip():
+                    start = int(s)
+                if e.strip():
+                    end = int(e)
+                if start >= file_size:
+                    raise HTTPException(416, detail="Requested Range Not Satisfiable")
+                if end >= file_size:
+                    end = file_size - 1
+                status = 206
+                headers["Content-Length"] = str(end - start + 1)
+                headers["Content-Range"] = f"bytes {start}-{end}/{file_size}"
+            except ValueError:
+                raise HTTPException(400, detail="Invalid Range header")
+
+        queue: asyncio.Queue[Optional[bytes]] = asyncio.Queue(maxsize=8)
+
+        def _worker():
+            sftp = self._connect()
+            try:
+                with sftp.open(path, "rb") as f:
+                    f.seek(start)
+                    remaining = end - start + 1
+                    chunk_size = 64 * 1024
+                    while remaining > 0:
+                        to_read = chunk_size if remaining > chunk_size else remaining
+                        data = f.read(to_read)
+                        if not data:
+                            break
+                        try:
+                            queue.put_nowait(data)
+                        except Exception:
+                            break
+                        remaining -= len(data)
+                try:
+                    queue.put_nowait(None)
+                except Exception:
+                    pass
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        async def agen():
+            worker_fut = asyncio.to_thread(_worker)
+            try:
+                while True:
+                    chunk = await queue.get()
+                    if chunk is None:
+                        break
+                    yield chunk
+            finally:
+                try:
+                    await worker_fut
+                except Exception:
+                    pass
+
+        return StreamingResponse(agen(), status_code=status, headers=headers, media_type=content_type)
+
+
+ADAPTER_TYPE = "sftp"
+
+CONFIG_SCHEMA = [
+    {"key": "host", "label": "主机", "type": "string", "required": True, "placeholder": "sftp.example.com"},
+    {"key": "port", "label": "端口", "type": "number", "required": False, "default": 22},
+    {"key": "username", "label": "用户名", "type": "string", "required": True},
+    {"key": "password", "label": "密码", "type": "password", "required": True},
+    {"key": "root", "label": "根路径", "type": "string", "required": True, "placeholder": "/data"},
+    {"key": "timeout", "label": "超时(秒)", "type": "number", "required": False, "default": 15},
+    {"key": "allow_unknown_host", "label": "允许未知主机指纹", "type": "boolean", "required": False, "default": True},
+]
+
+
+def ADAPTER_FACTORY(rec: StorageAdapter):
+    return SFTPAdapter(rec)

services/adapters/telegram.py

@@ -74,33 +74,32 @@ class TelegramAdapter:
             for message in messages:
                 if not message:
                     continue
-                
+
                 media = message.document or message.video or message.photo
                 if not media:
                     continue
 
-                filename = None
-                size = 0
-                
-                if message.photo:
-                    photo_size = message.photo.sizes[-1]
-                    size = photo_size.size if hasattr(photo_size, 'size') else 0
-                    filename = f"photo_{message.id}.jpg"
+                file_meta = message.file
+                if not file_meta:
+                    continue
 
-                elif message.document or message.video:
-                    size = media.size
-                    if hasattr(media, 'attributes'):
-                        for attr in media.attributes:
-                            if hasattr(attr, 'file_name') and attr.file_name:
-                                filename = attr.file_name
-                                break
-                
+                filename = file_meta.name
                 if not filename:
                     if message.text and '.' in message.text and len(message.text) < 256 and '\n' not in message.text:
                         filename = message.text
-                
-                if not filename:
-                    filename = f"unknown_{message.id}"
+                    else:
+                        filename = f"unknown_{message.id}"
+
+                size = file_meta.size
+                if size is None:
+                    # 兼容缺失 size 的情况
+                    if hasattr(media, "size") and media.size is not None:
+                        size = media.size
+                    elif message.photo and getattr(message.photo, "sizes", None):
+                        photo_size = message.photo.sizes[-1]
+                        size = getattr(photo_size, "size", 0) or 0
+                    else:
+                        size = 0
 
                 entries.append({
                     "name": f"{message.id}_{filename}",
@@ -246,13 +245,27 @@ class TelegramAdapter:
             if not message or not media:
                 raise FileNotFoundError(f"在频道 {self.chat_id} 中未找到消息ID为 {message_id} 的文件")
 
-            if message.photo:
-                photo_size = media.sizes[-1]
-                file_size = photo_size.size if hasattr(photo_size, 'size') else 0
-                mime_type = "image/jpeg"
-            else:
-                file_size = media.size
-                mime_type = media.mime_type or "application/octet-stream"
+            file_meta = message.file
+            file_size = file_meta.size if file_meta and file_meta.size is not None else None
+            if file_size is None:
+                if hasattr(media, "size") and media.size is not None:
+                    file_size = media.size
+                elif message.photo and getattr(message.photo, "sizes", None):
+                    photo_size = message.photo.sizes[-1]
+                    file_size = getattr(photo_size, "size", 0) or 0
+                else:
+                    file_size = 0
+
+            mime_type = None
+            if file_meta and getattr(file_meta, "mime_type", None):
+                mime_type = file_meta.mime_type
+            if not mime_type:
+                if hasattr(media, "mime_type") and media.mime_type:
+                    mime_type = media.mime_type
+                elif message.photo:
+                    mime_type = "image/jpeg"
+                else:
+                    mime_type = "application/octet-stream"
 
             start = 0
             end = file_size - 1
@@ -321,11 +334,16 @@ class TelegramAdapter:
             if not message or not media:
                 raise FileNotFoundError(f"在频道 {self.chat_id} 中未找到消息ID为 {message_id} 的文件")
 
-            if message.photo:
-                photo_size = media.sizes[-1]
-                size = photo_size.size if hasattr(photo_size, 'size') else 0
-            else:
-                size = media.size
+            file_meta = message.file
+            size = file_meta.size if file_meta and file_meta.size is not None else None
+            if size is None:
+                if hasattr(media, "size") and media.size is not None:
+                    size = media.size
+                elif message.photo and getattr(message.photo, "sizes", None):
+                    photo_size = message.photo.sizes[-1]
+                    size = getattr(photo_size, "size", 0) or 0
+                else:
+                    size = 0
 
             return {
                 "name": rel,
@@ -339,4 +357,4 @@ class TelegramAdapter:
                 await client.disconnect()
 
 def ADAPTER_FACTORY(rec: StorageAdapter) -> TelegramAdapter:
-    return TelegramAdapter(rec)
+    return TelegramAdapter(rec)

services/ai.py

@@ -1,70 +1,247 @@
+from __future__ import annotations
+
 import httpx
-from typing import List
-from services.config import ConfigCenter
+from typing import List, Sequence, Tuple
+
+from models.database import AIModel, AIProvider
+from services.ai_providers import AIProviderService
+
+
+provider_service = AIProviderService()
+
+
+class MissingModelError(RuntimeError):
+    pass
 
 
 async def describe_image_base64(base64_image: str, detail: str = "high") -> str:
     """
-    传入base64图片和文本提示，返回图片描述文本。
+    传入 base64 图片并返回描述文本。缺省时返回错误提示。
     """
-    OAI_API_URL = await ConfigCenter.get("AI_VISION_API_URL")
-    VISION_MODEL = await ConfigCenter.get("AI_VISION_MODEL")
-    API_KEY = await ConfigCenter.get("AI_VISION_API_KEY")
-    payload = {
-        "model": VISION_MODEL,
-        "messages": [
-            {"role": "user", "content": [
-                {
-                    "type": "image_url",
-                    "image_url": {
-                        "url": f"data:image/jpeg;base64,{base64_image}",
-                        "detail": detail
-                    }
-                },
-                {
-                    "type": "text",
-                    "text": "描述这个图片"
-                }
-            ]}
-        ]
-    }
-    headers = {
-        "Authorization": f"Bearer {API_KEY}",
-        "Content-Type": "application/json"
-    }
     try:
-        async with httpx.AsyncClient(timeout=60.0) as client:
-            resp = await client.post(OAI_API_URL, headers=headers, json=payload)
-            resp.raise_for_status()
-            result = resp.json()
-            return result["choices"][0]["message"]["content"]
+        model, provider = await _require_model("vision")
+        if provider.api_format == "openai":
+            return await _describe_with_openai(provider, model, base64_image, detail)
+        return await _describe_with_gemini(provider, model, base64_image, detail)
+    except MissingModelError as exc:
+        return str(exc)
     except httpx.ReadTimeout:
         return "请求超时，请稍后重试。"
-    except Exception as e:
-        return f"请求失败: {str(e)}"
+    except Exception as exc:  # noqa: BLE001
+        return f"请求失败: {exc}"
 
 
 async def get_text_embedding(text: str) -> List[float]:
     """
-    传入文本，返回嵌入向量。
+    传入文本，返回嵌入向量。若未配置模型则抛出异常。
     """
-    OAI_API_URL = await ConfigCenter.get("AI_EMBED_API_URL")
-    EMBED_MODEL = await ConfigCenter.get("AI_EMBED_MODEL")
-    API_KEY = await ConfigCenter.get("AI_EMBED_API_KEY")
+    model, provider = await _require_model("embedding")
+    if provider.api_format == "openai":
+        return await _embedding_with_openai(provider, model, text)
+    return await _embedding_with_gemini(provider, model, text)
+
+
+async def rerank_texts(query: str, documents: Sequence[str]) -> List[float]:
+    """调用重排序模型，为一组文档返回得分。未配置时返回空列表。"""
+    if not documents:
+        return []
+    try:
+        model, provider = await _require_model("rerank")
+    except MissingModelError:
+        return []
+
+    try:
+        if provider.api_format == "openai":
+            return await _rerank_with_openai(provider, model, query, documents)
+        return await _rerank_with_gemini(provider, model, query, documents)
+    except Exception:  # noqa: BLE001
+        return []
+
+
+async def _require_model(ability: str) -> Tuple[AIModel, AIProvider]:
+    model = await provider_service.get_default_model(ability)
+    if not model:
+        raise MissingModelError(f"未配置默认 {ability} 模型，请前往系统设置完成配置。")
+    provider = getattr(model, "provider", None)
+    if provider is None:
+        await model.fetch_related("provider")
+        provider = model.provider
+    if provider is None:
+        raise MissingModelError("模型缺少关联的提供商配置。")
+    if not provider.base_url:
+        raise MissingModelError("该提供商未设置 API 地址。")
+    return model, provider
+
+
+def _openai_endpoint(provider: AIProvider, path: str) -> str:
+    base = (provider.base_url or "").rstrip("/")
+    if not base:
+        raise MissingModelError("提供商 API 地址未配置。")
+    return f"{base}/{path.lstrip('/')}"
+
+
+def _openai_headers(provider: AIProvider) -> dict:
+    headers = {"Content-Type": "application/json"}
+    if provider.api_key:
+        headers["Authorization"] = f"Bearer {provider.api_key}"
+    return headers
+
+
+def _gemini_endpoint(provider: AIProvider, path: str) -> str:
+    base = (provider.base_url or "").rstrip("/")
+    if not base:
+        raise MissingModelError("提供商 API 地址未配置。")
+    url = f"{base}/{path.lstrip('/')}"
+    if provider.api_key:
+        connector = "&" if "?" in url else "?"
+        url = f"{url}{connector}key={provider.api_key}"
+    return url
+
+
+async def _describe_with_openai(provider: AIProvider, model: AIModel, base64_image: str, detail: str) -> str:
+    url = _openai_endpoint(provider, "/chat/completions")
     payload = {
-        "model": EMBED_MODEL,
-        "input": text
+        "model": model.name,
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": f"data:image/jpeg;base64,{base64_image}",
+                            "detail": detail,
+                        },
+                    },
+                    {"type": "text", "text": "描述这个图片"},
+                ],
+            }
+        ],
     }
-    headers = {
-        "Authorization": f"Bearer {API_KEY}",
-        "Content-Type": "application/json"
+    async with httpx.AsyncClient(timeout=60.0) as client:
+        response = await client.post(url, headers=_openai_headers(provider), json=payload)
+        response.raise_for_status()
+        body = response.json()
+        return body["choices"][0]["message"]["content"]
+
+
+async def _describe_with_gemini(provider: AIProvider, model: AIModel, base64_image: str, detail: str) -> str:
+    detail_text = f"描述这个图片，细节等级：{detail}"
+    model_name = model.name if model.name.startswith("models/") else f"models/{model.name}"
+    url = _gemini_endpoint(provider, f"{model_name}:generateContent")
+    payload = {
+        "contents": [
+            {
+                "role": "user",
+                "parts": [
+                    {
+                        "inline_data": {
+                            "mime_type": "image/jpeg",
+                            "data": base64_image,
+                        }
+                    },
+                    {"text": detail_text},
+                ],
+            }
+        ]
     }
-    async with httpx.AsyncClient() as client:
-        if OAI_API_URL.endswith("chat/completions"):
-            url = OAI_API_URL.replace("chat/completions", "embeddings")
-        else:
-            url = OAI_API_URL
-        resp = await client.post(url, headers=headers, json=payload)
-        resp.raise_for_status()
-        result = resp.json()
-        return result["data"][0]["embedding"]
+    async with httpx.AsyncClient(timeout=60.0) as client:
+        response = await client.post(url, json=payload)
+        response.raise_for_status()
+        body = response.json()
+        candidates = body.get("candidates") or []
+        if not candidates:
+            return ""
+        parts = candidates[0].get("content", {}).get("parts", [])
+        text_parts = [part.get("text") for part in parts if isinstance(part, dict) and part.get("text")]
+        return "\n".join(text_parts)
+
+
+async def _embedding_with_openai(provider: AIProvider, model: AIModel, text: str) -> List[float]:
+    url = _openai_endpoint(provider, "/embeddings")
+    payload = {
+        "model": model.name,
+        "input": text,
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, headers=_openai_headers(provider), json=payload)
+        response.raise_for_status()
+        body = response.json()
+        return body["data"][0]["embedding"]
+
+
+async def _embedding_with_gemini(provider: AIProvider, model: AIModel, text: str) -> List[float]:
+    model_name = model.name if model.name.startswith("models/") else f"models/{model.name}"
+    url = _gemini_endpoint(provider, f"{model_name}:embedContent")
+    payload = {
+        "model": model_name,
+        "content": {
+            "parts": [{"text": text}],
+        },
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, json=payload)
+        response.raise_for_status()
+        body = response.json()
+        embedding = body.get("embedding") or {}
+        return embedding.get("values") or []
+
+
+async def _rerank_with_openai(
+    provider: AIProvider,
+    model: AIModel,
+    query: str,
+    documents: Sequence[str],
+) -> List[float]:
+    url = _openai_endpoint(provider, "/rerank")
+    payload = {
+        "model": model.name,
+        "query": query,
+        "documents": [
+            {"id": str(idx), "text": content}
+            for idx, content in enumerate(documents)
+        ],
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, headers=_openai_headers(provider), json=payload)
+        response.raise_for_status()
+        body = response.json()
+        results = body.get("results") or body.get("data") or []
+        scores: List[float] = []
+        for item in results:
+            try:
+                scores.append(float(item.get("score", 0.0)))
+            except (TypeError, ValueError):
+                scores.append(0.0)
+        return scores
+
+
+async def _rerank_with_gemini(
+    provider: AIProvider,
+    model: AIModel,
+    query: str,
+    documents: Sequence[str],
+) -> List[float]:
+    model_name = model.name if model.name.startswith("models/") else f"models/{model.name}"
+    url = _gemini_endpoint(provider, f"{model_name}:rankContent")
+    payload = {
+        "query": {"text": query},
+        "documents": [
+            {"id": str(idx), "content": {"parts": [{"text": content}]}}
+            for idx, content in enumerate(documents)
+        ],
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, json=payload)
+        response.raise_for_status()
+        body = response.json()
+
+    scores: List[float] = []
+    ranked = body.get("rankedDocuments") or body.get("results") or []
+    for item in ranked:
+        raw_score = item.get("relevanceScore") or item.get("score") or item.get("confidenceScore")
+        try:
+            scores.append(float(raw_score))
+        except (TypeError, ValueError):
+            scores.append(0.0)
+    return scores

services/ai_providers.py

@@ -0,0 +1,347 @@
+from __future__ import annotations
+
+from collections.abc import Iterable
+from typing import Any, Dict, List, Optional, Tuple
+
+import httpx
+from tortoise.exceptions import DoesNotExist
+from tortoise.transactions import in_transaction
+
+from models.database import AIDefaultModel, AIModel, AIProvider
+
+
+ABILITIES = ["chat", "vision", "embedding", "rerank", "voice", "tools"]
+
+OPENAI_EMBEDDING_DIMS = {
+    "text-embedding-3-large": 3072,
+    "text-embedding-3-small": 1536,
+    "text-embedding-ada-002": 1536,
+}
+
+
+def _normalize_embedding_dim(value: Any) -> Optional[int]:
+    if value is None:
+        return None
+    try:
+        casted = int(value)
+    except (TypeError, ValueError):
+        return None
+    return casted if casted > 0 else None
+
+
+def _apply_embedding_dim_to_metadata(
+    data: Dict[str, Any],
+    embedding_dim: Optional[int],
+    base_metadata: Optional[Dict[str, Any]] = None,
+) -> Dict[str, Any]:
+    source = base_metadata if isinstance(base_metadata, dict) else {}
+    metadata: Dict[str, Any] = dict(source)
+    override = data.get("metadata")
+    if isinstance(override, dict) and override:
+        metadata.update(override)
+    if embedding_dim is None:
+        metadata.pop("embedding_dimensions", None)
+    else:
+        metadata["embedding_dimensions"] = embedding_dim
+    data["metadata"] = metadata or None
+    return data
+
+
+def normalize_capabilities(items: Optional[Iterable[str]]) -> List[str]:
+    if not items:
+        return []
+    normalized = []
+    for cap in items:
+        key = str(cap).strip().lower()
+        if key in ABILITIES and key not in normalized:
+            normalized.append(key)
+    return normalized
+
+
+def infer_openai_capabilities(model_id: str) -> Tuple[List[str], Optional[int]]:
+    lower = model_id.lower()
+    caps = set()
+
+    if any(keyword in lower for keyword in ["gpt", "chat", "turbo", "o1", "sonnet", "haiku", "thinking"]):
+        caps.update({"chat", "tools"})
+
+    if any(keyword in lower for keyword in ["vision", "gpt-4o", "gpt-4.1", "o1", "vision-preview", "omni"]):
+        caps.add("vision")
+
+    if any(keyword in lower for keyword in ["embed", "embedding"]):
+        caps.add("embedding")
+
+    if "rerank" in lower or "re-rank" in lower:
+        caps.add("rerank")
+
+    if any(keyword in lower for keyword in ["tts", "speech", "audio"]):
+        caps.add("voice")
+
+    embedding_dim = OPENAI_EMBEDDING_DIMS.get(model_id)
+    return normalize_capabilities(caps), embedding_dim
+
+
+def infer_gemini_capabilities(methods: Iterable[str]) -> List[str]:
+    caps = set()
+    for method in methods:
+        m = method.lower()
+        if m in {"generatecontent", "counttokens"}:
+            caps.update({"chat", "tools", "vision"})
+        if m == "embedcontent":
+            caps.add("embedding")
+        if m in {"generatespeech", "audiogeneration"}:
+            caps.add("voice")
+        if m == "rerank":
+            caps.add("rerank")
+    return normalize_capabilities(caps)
+
+
+def serialize_provider(provider: AIProvider) -> Dict[str, Any]:
+    return {
+        "id": provider.id,
+        "name": provider.name,
+        "identifier": provider.identifier,
+        "provider_type": provider.provider_type,
+        "api_format": provider.api_format,
+        "base_url": provider.base_url,
+        "api_key": provider.api_key,
+        "logo_url": provider.logo_url,
+        "extra_config": provider.extra_config or {},
+        "created_at": provider.created_at,
+        "updated_at": provider.updated_at,
+    }
+
+
+def model_to_dict(model: AIModel, provider: Optional[AIProvider] = None) -> Dict[str, Any]:
+    provider_obj = provider or getattr(model, "provider", None)
+    provider_data = serialize_provider(provider_obj) if provider_obj else None
+    return {
+        "id": model.id,
+        "provider_id": model.provider_id,
+        "name": model.name,
+        "display_name": model.display_name,
+        "description": model.description,
+        "capabilities": normalize_capabilities(model.capabilities),
+        "context_window": model.context_window,
+        "embedding_dimensions": model.embedding_dimensions,
+        "metadata": model.metadata or {},
+        "created_at": model.created_at,
+        "updated_at": model.updated_at,
+        "provider": provider_data,
+    }
+
+
+def provider_to_dict(provider: AIProvider, models: Optional[List[AIModel]] = None) -> Dict[str, Any]:
+    data = serialize_provider(provider)
+    if models is not None:
+        data["models"] = [model_to_dict(m, provider=provider) for m in models]
+    return data
+
+
+class AIProviderService:
+    async def list_providers(self) -> List[Dict[str, Any]]:
+        providers = await AIProvider.all().order_by("id").prefetch_related("models")
+        return [provider_to_dict(p, models=list(p.models)) for p in providers]
+
+    async def get_provider(self, provider_id: int, with_models: bool = False) -> Dict[str, Any]:
+        if with_models:
+            provider = await AIProvider.get(id=provider_id)
+            models = await provider.models.all()
+            return provider_to_dict(provider, models=models)
+        else:
+            provider = await AIProvider.get(id=provider_id)
+            return provider_to_dict(provider)
+
+    async def create_provider(self, payload: Dict[str, Any]) -> Dict[str, Any]:
+        data = payload.copy()
+        data.setdefault("extra_config", {})
+        provider = await AIProvider.create(**data)
+        return provider_to_dict(provider)
+
+    async def update_provider(self, provider_id: int, payload: Dict[str, Any]) -> Dict[str, Any]:
+        provider = await AIProvider.get(id=provider_id)
+        for field, value in payload.items():
+            setattr(provider, field, value)
+        await provider.save()
+        return provider_to_dict(provider)
+
+    async def delete_provider(self, provider_id: int) -> None:
+        await AIProvider.filter(id=provider_id).delete()
+
+    async def list_models(self, provider_id: int) -> List[Dict[str, Any]]:
+        models = await AIModel.filter(provider_id=provider_id).order_by("id").prefetch_related("provider")
+        return [model_to_dict(m) for m in models]
+
+    async def create_model(self, provider_id: int, payload: Dict[str, Any]) -> Dict[str, Any]:
+        data = payload.copy()
+        data["provider_id"] = provider_id
+        data["capabilities"] = normalize_capabilities(data.get("capabilities"))
+        embedding_dim = _normalize_embedding_dim(data.pop("embedding_dimensions", None))
+        data = _apply_embedding_dim_to_metadata(data, embedding_dim)
+        model = await AIModel.create(**data)
+        await model.fetch_related("provider")
+        return model_to_dict(model)
+
+    async def update_model(self, model_id: int, payload: Dict[str, Any]) -> Dict[str, Any]:
+        model = await AIModel.get(id=model_id)
+        data = payload.copy()
+        if "capabilities" in data:
+            data["capabilities"] = normalize_capabilities(data.get("capabilities"))
+        embedding_dim = None
+        if "embedding_dimensions" in data:
+            embedding_dim = _normalize_embedding_dim(data.pop("embedding_dimensions", None))
+            _apply_embedding_dim_to_metadata(data, embedding_dim, base_metadata=model.metadata)
+        for field, value in data.items():
+            setattr(model, field, value)
+        if embedding_dim is not None or ("embedding_dimensions" in payload and embedding_dim is None):
+            model.embedding_dimensions = embedding_dim
+        await model.save()
+        await model.fetch_related("provider")
+        return model_to_dict(model)
+
+    async def delete_model(self, model_id: int) -> None:
+        await AIModel.filter(id=model_id).delete()
+
+    async def fetch_remote_models(self, provider_id: int) -> List[Dict[str, Any]]:
+        provider = await AIProvider.get(id=provider_id)
+        return await self._get_remote_models(provider)
+
+    async def _get_remote_models(self, provider: AIProvider) -> List[Dict[str, Any]]:
+        if not provider.base_url:
+            raise ValueError("Provider base_url is required for syncing models")
+
+        fmt = (provider.api_format or "").lower()
+        if fmt not in {"openai", "gemini"}:
+            raise ValueError(f"Unsupported api_format '{provider.api_format}' for syncing models")
+
+        if fmt == "openai":
+            return await self._fetch_openai_models(provider)
+        return await self._fetch_gemini_models(provider)
+
+    async def sync_models(self, provider_id: int) -> Dict[str, int]:
+        provider = await AIProvider.get(id=provider_id)
+        remote_models = await self._get_remote_models(provider)
+
+        created = 0
+        updated = 0
+        for entry in remote_models:
+            defaults = entry.copy()
+            model_id = defaults.pop("name")
+            defaults["capabilities"] = normalize_capabilities(defaults.get("capabilities"))
+            embedding_dim = _normalize_embedding_dim(defaults.pop("embedding_dimensions", None))
+            defaults = _apply_embedding_dim_to_metadata(defaults, embedding_dim)
+            obj, is_created = await AIModel.get_or_create(
+                provider_id=provider.id,
+                name=model_id,
+                defaults=defaults,
+            )
+            if is_created:
+                created += 1
+                continue
+            for field, value in defaults.items():
+                setattr(obj, field, value)
+            if embedding_dim is not None or ("embedding_dimensions" in entry and embedding_dim is None):
+                obj.embedding_dimensions = embedding_dim
+            await obj.save()
+            updated += 1
+
+        return {"created": created, "updated": updated}
+
+    async def get_default_models(self) -> Dict[str, Optional[Dict[str, Any]]]:
+        defaults = await AIDefaultModel.all().prefetch_related("model__provider")
+        result: Dict[str, Optional[Dict[str, Any]]] = {ability: None for ability in ABILITIES}
+        for item in defaults:
+            result[item.ability] = model_to_dict(item.model, provider=item.model.provider)  # type: ignore[attr-defined]
+        return result
+
+    async def set_default_models(self, mapping: Dict[str, Optional[int]]) -> Dict[str, Optional[Dict[str, Any]]]:
+        normalized = {ability: mapping.get(ability) for ability in ABILITIES}
+        async with in_transaction() as connection:
+            for ability, model_id in normalized.items():
+                record = await AIDefaultModel.get_or_none(ability=ability)
+                if model_id:
+                    try:
+                        model = await AIModel.get(id=model_id)
+                    except DoesNotExist:
+                        raise ValueError(f"Model {model_id} not found")
+                    if record:
+                        record.model_id = model_id
+                        await record.save(using_db=connection)
+                    else:
+                        await AIDefaultModel.create(ability=ability, model_id=model_id)
+                elif record:
+                    await record.delete(using_db=connection)
+        return await self.get_default_models()
+
+    async def get_default_model(self, ability: str) -> Optional[AIModel]:
+        ability_key = ability.lower()
+        if ability_key not in ABILITIES:
+            return None
+        record = await AIDefaultModel.get_or_none(ability=ability_key)
+        if not record:
+            return None
+        model = await AIModel.get_or_none(id=record.model_id)
+        if model:
+            await model.fetch_related("provider")
+        return model
+
+    async def _fetch_openai_models(self, provider: AIProvider) -> List[Dict[str, Any]]:
+        base_url = provider.base_url.rstrip("/")
+        url = f"{base_url}/models"
+        headers = {}
+        if provider.api_key:
+            headers["Authorization"] = f"Bearer {provider.api_key}"
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.get(url, headers=headers)
+            response.raise_for_status()
+            payload = response.json()
+
+        data = payload.get("data", [])
+        entries: List[Dict[str, Any]] = []
+        for item in data:
+            model_id = item.get("id")
+            if not model_id:
+                continue
+            capabilities, embedding_dim = infer_openai_capabilities(model_id)
+            entries.append({
+                "name": model_id,
+                "display_name": item.get("display_name"),
+                "description": item.get("description"),
+                "capabilities": capabilities,
+                "context_window": item.get("context_window"),
+                "embedding_dimensions": embedding_dim,
+                "metadata": item,
+            })
+        return entries
+
+    async def _fetch_gemini_models(self, provider: AIProvider) -> List[Dict[str, Any]]:
+        base_url = provider.base_url.rstrip("/")
+        suffix = "/models"
+        if provider.api_key:
+            suffix += f"?key={provider.api_key}"
+        url = f"{base_url}{suffix}"
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.get(url)
+            response.raise_for_status()
+            payload = response.json()
+
+        data = payload.get("models", [])
+        entries: List[Dict[str, Any]] = []
+        for item in data:
+            model_id = item.get("name")
+            if not model_id:
+                continue
+            methods = item.get("supportedGenerationMethods") or []
+            capabilities = infer_gemini_capabilities(methods)
+            entries.append({
+                "name": model_id,
+                "display_name": item.get("displayName"),
+                "description": item.get("description"),
+                "capabilities": capabilities,
+                "context_window": item.get("inputTokenLimit"),
+                "embedding_dimensions": item.get("embeddingDimensions"),
+                "metadata": item,
+            })
+        return entries

services/auth.py

@@ -1,5 +1,8 @@
+import asyncio
+from dataclasses import dataclass
 from datetime import datetime, timedelta, timezone
 from typing import Annotated
+import secrets
 
 import jwt
 from fastapi import Depends, HTTPException, status
@@ -10,9 +13,78 @@ from pydantic import BaseModel
 
 from models.database import UserAccount
 from services.config import ConfigCenter
+from services.logging import LogService
 
 ALGORITHM = "HS256"
 ACCESS_TOKEN_EXPIRE_MINUTES = 60 * 24 * 365
+PASSWORD_RESET_TOKEN_EXPIRE_MINUTES = 10
+
+
+def _now() -> datetime:
+    return datetime.now(timezone.utc)
+
+
+@dataclass
+class PasswordResetEntry:
+    user_id: int
+    email: str
+    username: str
+    expires_at: datetime
+    used: bool = False
+
+
+class PasswordResetStore:
+    _tokens: dict[str, PasswordResetEntry] = {}
+    _lock = asyncio.Lock()
+
+    @classmethod
+    def _cleanup(cls):
+        now = _now()
+        for token, record in list(cls._tokens.items()):
+            if record.used or record.expires_at < now:
+                cls._tokens.pop(token, None)
+
+    @classmethod
+    async def create(cls, user: UserAccount) -> str:
+        async with cls._lock:
+            cls._cleanup()
+            for key, record in list(cls._tokens.items()):
+                if record.user_id == user.id:
+                    cls._tokens.pop(key, None)
+            token = secrets.token_urlsafe(32)
+            expires_at = _now() + timedelta(minutes=PASSWORD_RESET_TOKEN_EXPIRE_MINUTES)
+            cls._tokens[token] = PasswordResetEntry(
+                user_id=user.id,
+                email=user.email or "",
+                username=user.username,
+                expires_at=expires_at,
+            )
+            return token
+
+    @classmethod
+    async def get(cls, token: str) -> PasswordResetEntry | None:
+        async with cls._lock:
+            cls._cleanup()
+            record = cls._tokens.get(token)
+            if not record or record.used:
+                return None
+            return record
+
+    @classmethod
+    async def mark_used(cls, token: str) -> None:
+        async with cls._lock:
+            record = cls._tokens.get(token)
+            if record:
+                record.used = True
+            cls._cleanup()
+
+    @classmethod
+    async def invalidate_user(cls, user_id: int, except_token: str | None = None) -> None:
+        async with cls._lock:
+            for key, record in list(cls._tokens.items()):
+                if record.user_id == user_id and key != except_token:
+                    cls._tokens.pop(key, None)
+            cls._cleanup()
 
 
 async def get_secret_key():
@@ -132,6 +204,94 @@ async def create_access_token(data: dict, expires_delta: timedelta | None = None
     return encoded_jwt
 
 
+def _normalize_email(email: str | None) -> str:
+    return (email or "").strip().lower()
+
+
+async def _send_password_reset_email(user: UserAccount, token: str) -> None:
+    from services.email import EmailService
+
+    app_domain = await ConfigCenter.get("APP_DOMAIN", None)
+    base_url = (app_domain or "http://localhost:5173").rstrip("/")
+    reset_link = f"{base_url}/reset-password?token={token}"
+    await EmailService.enqueue_email(
+        recipients=[user.email],
+        subject="Foxel 密码重置",
+        template="password_reset",
+        context={
+            "username": user.username,
+            "reset_link": reset_link,
+            "expire_minutes": PASSWORD_RESET_TOKEN_EXPIRE_MINUTES,
+        },
+    )
+
+
+async def request_password_reset(email: str) -> bool:
+    normalized = _normalize_email(email)
+    if not normalized:
+        return False
+    user = await UserAccount.get_or_none(email=normalized)
+    if not user or not user.email:
+        return False
+
+    token = await PasswordResetStore.create(user)
+    try:
+        await _send_password_reset_email(user, token)
+    except Exception as exc:  # noqa: BLE001
+        await PasswordResetStore.mark_used(token)
+        await PasswordResetStore.invalidate_user(user.id)
+        await LogService.error(
+            "auth",
+            f"Failed to enqueue password reset email: {exc}",
+            details={"user_id": user.id},
+            user_id=user.id,
+        )
+        raise HTTPException(status_code=500, detail="邮件发送失败") from exc
+    await LogService.action(
+        "auth",
+        "Password reset requested",
+        details={"user_id": user.id},
+        user_id=user.id,
+    )
+    return True
+
+
+async def verify_password_reset_token(token: str) -> UserAccount:
+    record = await PasswordResetStore.get(token)
+    if not record:
+        raise HTTPException(status_code=400, detail="重置链接无效")
+    user = await UserAccount.get_or_none(id=record.user_id)
+    if not user:
+        raise HTTPException(status_code=400, detail="重置链接无效")
+    if record.expires_at < _now():
+        await PasswordResetStore.mark_used(token)
+        raise HTTPException(status_code=400, detail="重置链接已过期")
+    return user
+
+
+async def reset_password_with_token(token: str, new_password: str) -> None:
+    record = await PasswordResetStore.get(token)
+    if not record:
+        raise HTTPException(status_code=400, detail="重置链接无效")
+    if record.expires_at < _now():
+        await PasswordResetStore.mark_used(token)
+        raise HTTPException(status_code=400, detail="重置链接已过期")
+
+    user = await UserAccount.get_or_none(id=record.user_id)
+    if not user:
+        raise HTTPException(status_code=400, detail="重置链接无效")
+    user.hashed_password = get_password_hash(new_password)
+    await user.save(update_fields=["hashed_password"])
+    await PasswordResetStore.mark_used(token)
+    await PasswordResetStore.invalidate_user(user.id)
+    await LogService.action(
+        "auth",
+        "Password reset via email",
+        details={"user_id": user.id},
+        user_id=user.id,
+    )
+
+
 async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
     credentials_exception = HTTPException(
         status_code=status.HTTP_401_UNAUTHORIZED,

services/config.py

@@ -4,7 +4,7 @@ from typing import Any, Optional, Dict
 from dotenv import load_dotenv
 from models.database import Configuration
 load_dotenv(dotenv_path=".env")
-VERSION = "v1.2.2"
+VERSION = "v1.3.6"
 
 class ConfigCenter:
     _cache: Dict[str, Any] = {}

services/email.py

@@ -0,0 +1,201 @@
+import asyncio
+import json
+import re
+import smtplib
+from email.message import EmailMessage
+from email.utils import formataddr
+from enum import Enum
+from pathlib import Path
+from string import Template
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, EmailStr, Field, ValidationError
+
+from services.config import ConfigCenter
+from services.logging import LogService
+
+
+class EmailSecurity(str, Enum):
+    NONE = "none"
+    SSL = "ssl"
+    STARTTLS = "starttls"
+
+
+class EmailConfig(BaseModel):
+    host: str
+    port: int = Field(..., gt=0)
+    username: Optional[str] = None
+    password: Optional[str] = None
+    sender_email: EmailStr
+    sender_name: Optional[str] = None
+    security: EmailSecurity = EmailSecurity.NONE
+    timeout: float = Field(default=30.0, gt=0.0)
+
+
+class EmailSendPayload(BaseModel):
+    recipients: List[EmailStr] = Field(..., min_length=1)
+    subject: str = Field(..., min_length=1)
+    template: str = Field(..., min_length=1)
+    context: Dict[str, Any] = Field(default_factory=dict)
+
+
+class EmailTemplateRenderer:
+    ROOT = Path("templates/email")
+
+    @classmethod
+    def _resolve_path(cls, template_name: str) -> Path:
+        if not re.fullmatch(r"[A-Za-z0-9_\-]+", template_name):
+            raise ValueError("Invalid template name")
+        return cls.ROOT / f"{template_name}.html"
+
+    @classmethod
+    async def list_templates(cls) -> list[str]:
+        cls.ROOT.mkdir(parents=True, exist_ok=True)
+        return sorted(
+            path.stem
+            for path in cls.ROOT.glob("*.html")
+            if path.is_file()
+        )
+
+    @classmethod
+    async def load(cls, template_name: str) -> str:
+        path = cls._resolve_path(template_name)
+        if not path.is_file():
+            raise FileNotFoundError(f"Email template '{template_name}' not found")
+        return await asyncio.to_thread(path.read_text, encoding="utf-8")
+
+    @classmethod
+    async def save(cls, template_name: str, content: str) -> None:
+        path = cls._resolve_path(template_name)
+        path.parent.mkdir(parents=True, exist_ok=True)
+        await asyncio.to_thread(path.write_text, content, encoding="utf-8")
+
+    @classmethod
+    async def render(cls, template_name: str, context: Dict[str, Any]) -> str:
+        raw = await cls.load(template_name)
+        context = {k: str(v) for k, v in (context or {}).items()}
+        return Template(raw).safe_substitute(context)
+
+
+class EmailService:
+    CONFIG_KEY = "EMAIL_CONFIG"
+
+    @classmethod
+    async def _load_config(cls) -> EmailConfig:
+        raw_config = await ConfigCenter.get(cls.CONFIG_KEY)
+        if raw_config is None:
+            raise ValueError("Email configuration not found")
+
+        if isinstance(raw_config, str):
+            raw_config = raw_config.strip()
+            data: Any = json.loads(raw_config) if raw_config else {}
+        elif isinstance(raw_config, dict):
+            data = raw_config
+        else:
+            raise ValueError("Invalid email configuration format")
+
+        try:
+            return EmailConfig(**data)
+        except ValidationError as exc:
+            raise ValueError(f"Invalid email configuration: {exc}") from exc
+
+    @staticmethod
+    def _html_to_text(html: str) -> str:
+        stripped = re.sub(r"<[^>]+>", " ", html)
+        return " ".join(stripped.split())
+
+    @classmethod
+    async def _deliver(cls, config: EmailConfig, payload: EmailSendPayload, html_body: str):
+        message = EmailMessage()
+        message["Subject"] = payload.subject
+        message["From"] = formataddr((config.sender_name or str(config.sender_email), str(config.sender_email)))
+        message["To"] = ", ".join([str(addr) for addr in payload.recipients])
+
+        plain_body = cls._html_to_text(html_body)
+        message.set_content(plain_body or html_body)
+        message.add_alternative(html_body, subtype="html")
+
+        await asyncio.to_thread(cls._deliver_sync, config, message)
+
+    @staticmethod
+    def _deliver_sync(config: EmailConfig, message: EmailMessage):
+        if config.security == EmailSecurity.SSL:
+            smtp: smtplib.SMTP = smtplib.SMTP_SSL(config.host, config.port, timeout=config.timeout)
+        else:
+            smtp = smtplib.SMTP(config.host, config.port, timeout=config.timeout)
+
+        try:
+            if config.security == EmailSecurity.STARTTLS:
+                smtp.starttls()
+            if config.username and config.password:
+                smtp.login(config.username, config.password)
+            smtp.send_message(message)
+        finally:
+            try:
+                smtp.quit()
+            except Exception:
+                pass
+
+    @classmethod
+    async def enqueue_email(
+        cls,
+        recipients: List[str],
+        subject: str,
+        template: str,
+        context: Optional[Dict[str, Any]] = None,
+    ):
+        from services.task_queue import TaskProgress, task_queue_service
+
+        payload = EmailSendPayload(
+            recipients=recipients,
+            subject=subject,
+            template=template,
+            context=context or {},
+        )
+
+        task = await task_queue_service.add_task(
+            "send_email",
+            payload.model_dump(mode="json"),
+        )
+
+        await task_queue_service.update_progress(
+            task.id,
+            TaskProgress(stage="queued", percent=0.0, detail="Waiting to send"),
+        )
+        await LogService.action(
+            "email_service",
+            "Email task enqueued",
+            details={"task_id": task.id, "subject": subject, "template": template},
+        )
+        return task
+
+    @classmethod
+    async def send_from_task(cls, task_id: str, data: Dict[str, Any]):
+        from services.task_queue import TaskProgress, task_queue_service
+
+        payload = EmailSendPayload(**data)
+
+        await task_queue_service.update_progress(
+            task_id,
+            TaskProgress(stage="preparing", percent=10.0, detail="Rendering template"),
+        )
+
+        config = await cls._load_config()
+        html_body = await EmailTemplateRenderer.render(payload.template, payload.context)
+
+        await task_queue_service.update_progress(
+            task_id,
+            TaskProgress(stage="sending", percent=60.0, detail="Sending message"),
+        )
+
+        await cls._deliver(config, payload, html_body)
+
+        await task_queue_service.update_progress(
+            task_id,
+            TaskProgress(stage="completed", percent=100.0, detail="Email sent"),
+        )
+        await LogService.info(
+            "email_service",
+            "Email sent",
+            details={"task_id": task_id, "subject": payload.subject},
+        )

services/offline_download.py

@@ -0,0 +1,199 @@
+import os
+import time
+from pathlib import Path
+from typing import AsyncIterator
+
+import aiofiles
+import aiohttp
+from fastapi import HTTPException
+
+from services.logging import LogService
+from services.task_queue import Task, task_queue_service, TaskProgress
+from services.virtual_fs import write_file_stream, stat_file
+
+
+TEMP_ROOT = Path("data/tmp/offline_downloads")
+
+
+def _normalize_path(path: str) -> str:
+    if not path:
+        return "/"
+    if not path.startswith("/"):
+        path = "/" + path
+    if len(path) > 1 and path.endswith("/"):
+        path = path.rstrip("/")
+    return path or "/"
+
+
+async def _path_exists(full_path: str) -> bool:
+    try:
+        await stat_file(full_path)
+        return True
+    except FileNotFoundError:
+        return False
+    except HTTPException as exc:
+        if exc.status_code == 404:
+            return False
+        raise
+
+
+def _split_filename(filename: str) -> tuple[str, str]:
+    if not filename:
+        return "", ""
+    if filename.startswith('.') and filename.count('.') == 1:
+        return filename, ""
+    if '.' not in filename:
+        return filename, ""
+    stem, ext = filename.rsplit('.', 1)
+    return stem, f".{ext}"
+
+
+async def _allocate_destination(dest_dir: str, filename: str) -> tuple[str, str]:
+    dest_dir = _normalize_path(dest_dir)
+    stem, suffix = _split_filename(filename)
+    candidate = filename
+    if dest_dir == "/":
+        base = ""
+    else:
+        base = dest_dir
+    attempt = 0
+    while await _path_exists(f"{base}/{candidate}" if base else f"/{candidate}"):
+        attempt += 1
+        if stem:
+            candidate = f"{stem} ({attempt}){suffix}"
+        else:
+            candidate = f"file ({attempt}){suffix}" if suffix else f"file ({attempt})"
+    if base:
+        full_path = f"{base}/{candidate}"
+    else:
+        full_path = f"/{candidate}"
+    return full_path, candidate
+
+
+async def _iter_file(path: Path, chunk_size: int, report_cb) -> AsyncIterator[bytes]:
+    async with aiofiles.open(path, "rb") as f:
+        while True:
+            chunk = await f.read(chunk_size)
+            if not chunk:
+                break
+            await report_cb(len(chunk))
+            yield chunk
+
+
+async def run_http_download(task: Task):
+    params = task.task_info
+    url = params.get("url")
+    dest_dir = params.get("dest_dir")
+    filename = params.get("filename")
+
+    if not url or not dest_dir or not filename:
+        raise ValueError("Missing required parameters for offline download")
+
+    TEMP_ROOT.mkdir(parents=True, exist_ok=True)
+    temp_dir = TEMP_ROOT / task.id
+    temp_dir.mkdir(parents=True, exist_ok=True)
+    temp_file = temp_dir / "payload"
+
+    bytes_total: int | None = None
+    bytes_done = 0
+
+    last_update = time.monotonic()
+
+    await task_queue_service.update_progress(
+        task.id,
+        TaskProgress(
+            stage="downloading",
+            percent=0.0,
+            bytes_total=None,
+            bytes_done=0,
+            detail="HTTP downloading",
+        ),
+    )
+
+    async def report_download(delta: int, total: int | None):
+        nonlocal bytes_done, bytes_total, last_update
+        if total is not None:
+            bytes_total = total
+        bytes_done += delta
+        now = time.monotonic()
+        if delta and now - last_update < 0.5:
+            return
+        last_update = now
+        percent = None
+        total_for_display = bytes_total if bytes_total is not None else None
+        if bytes_total:
+            percent = min(100.0, round(bytes_done / bytes_total * 100, 2))
+        await task_queue_service.update_progress(
+            task.id,
+            TaskProgress(
+                stage="downloading",
+                percent=percent,
+                bytes_total=total_for_display,
+                bytes_done=bytes_done,
+                detail="HTTP downloading",
+            ),
+        )
+
+    timeout = aiohttp.ClientTimeout(total=None, connect=30)
+
+    async with aiohttp.ClientSession(timeout=timeout) as session:
+        async with session.get(url) as resp:
+            if resp.status != 200:
+                raise ValueError(f"HTTP {resp.status} for {url}")
+            content_length = resp.headers.get("Content-Length")
+            total_size = int(content_length) if content_length else None
+            bytes_done = 0
+            async with aiofiles.open(temp_file, "wb") as f:
+                async for chunk in resp.content.iter_chunked(512 * 1024):
+                    if not chunk:
+                        continue
+                    await f.write(chunk)
+                    await report_download(len(chunk), total_size)
+            # ensure final update
+            await report_download(0, total_size)
+
+    file_size = os.path.getsize(temp_file)
+
+    bytes_done_transfer = 0
+
+    async def report_transfer(delta: int):
+        nonlocal bytes_done_transfer
+        bytes_done_transfer += delta
+        percent = min(100.0, round(bytes_done_transfer / file_size * 100, 2)) if file_size else None
+        await task_queue_service.update_progress(
+            task.id,
+            TaskProgress(
+                stage="transferring",
+                percent=percent,
+                bytes_total=file_size or None,
+                bytes_done=bytes_done_transfer,
+                detail="Saving to storage",
+            ),
+        )
+
+    async def chunk_iter() -> AsyncIterator[bytes]:
+        async for chunk in _iter_file(temp_file, 512 * 1024, report_transfer):
+            yield chunk
+
+    final_path, resolved_name = await _allocate_destination(dest_dir, filename)
+
+    await task_queue_service.update_progress(
+        task.id,
+        TaskProgress(stage="transferring", percent=0.0, bytes_total=file_size or None, bytes_done=0, detail="Saving to storage"),
+    )
+
+    await write_file_stream(final_path, chunk_iter())
+
+    await task_queue_service.update_progress(
+        task.id,
+        TaskProgress(stage="completed", percent=100.0, bytes_total=file_size or None, bytes_done=file_size, detail="Completed"),
+    )
+    await task_queue_service.update_meta(task.id, {"final_path": final_path, "filename": resolved_name})
+
+    try:
+        os.remove(temp_file)
+        temp_dir.rmdir()
+    except Exception:
+        await LogService.info("offline_download", f"Temp cleanup failed for task {task.id}")
+
+    return final_path

services/processors/registry.py

@@ -1,33 +1,53 @@
-import pkgutil
 import inspect
-from importlib import import_module
-from typing import Dict, Callable
+import pkgutil
+from importlib import import_module, reload
+from pathlib import Path
+from types import ModuleType
+from typing import Callable, Dict, Optional
+
 from .base import BaseProcessor
 
 ProcessorFactory = Callable[[], BaseProcessor]
 TYPE_MAP: Dict[str, ProcessorFactory] = {}
 CONFIG_SCHEMAS: Dict[str, dict] = {}
+MODULE_MAP: Dict[str, ModuleType] = {}
+LAST_DISCOVERY_ERRORS: list[str] = []
+
+
+def discover_processors(force_reload: bool = False) -> list[str]:
+    """Discover available processor modules and cache their metadata."""
+    import services.processors  # 延迟导入以避免循环
 
-def discover_processors():
-    import services.processors
     processors_pkg = services.processors
     TYPE_MAP.clear()
     CONFIG_SCHEMAS.clear()
+    MODULE_MAP.clear()
+
+    global LAST_DISCOVERY_ERRORS
+    LAST_DISCOVERY_ERRORS = []
+
     for modinfo in pkgutil.iter_modules(processors_pkg.__path__):
         if modinfo.name.startswith("_"):
             continue
+
         full_name = f"{processors_pkg.__name__}.{modinfo.name}"
         try:
             module = import_module(full_name)
-        except Exception:
+            if force_reload:
+                module = reload(module)
+        except Exception as exc:
+            LAST_DISCOVERY_ERRORS.append(f"Failed to import {full_name}: {exc}")
             continue
+
         processor_type = getattr(module, "PROCESSOR_TYPE", None)
         processor_name = getattr(module, "PROCESSOR_NAME", None)
         supported_exts = getattr(module, "SUPPORTED_EXTS", None)
         schema = getattr(module, "CONFIG_SCHEMA", None)
         factory = getattr(module, "PROCESSOR_FACTORY", None)
+
         if not processor_type:
             continue
+
         if factory is None:
             for attr in module.__dict__.values():
                 if inspect.isclass(attr) and attr.__name__.endswith("Processor"):
@@ -35,31 +55,85 @@ def discover_processors():
                         return lambda: cls()
                     factory = _mk()
                     break
+
         if not callable(factory):
+            LAST_DISCOVERY_ERRORS.append(f"Processor {full_name} missing factory")
             continue
+
+        try:
+            sample = factory()
+        except Exception as exc:
+            LAST_DISCOVERY_ERRORS.append(f"Failed to instantiate processor {processor_type}: {exc}")
+            continue
+
         TYPE_MAP[processor_type] = factory
+        MODULE_MAP[processor_type] = module
+
         produces_file = getattr(module, "produces_file", None)
-        if produces_file is None and hasattr(factory(), "produces_file"):
-            produces_file = getattr(factory(), "produces_file")
+        if produces_file is None and hasattr(sample, "produces_file"):
+            produces_file = getattr(sample, "produces_file")
+
+        module_file = getattr(module, "__file__", None)
+        module_path: Optional[str] = None
+        if module_file:
+            try:
+                module_path = str(Path(module_file).resolve())
+            except Exception:
+                module_path = module_file
+
+        if isinstance(supported_exts, list):
+            normalized_exts = [str(ext) for ext in supported_exts]
+        elif supported_exts:
+            normalized_exts = [str(supported_exts)]
+        else:
+            normalized_exts = []
+
+        if not normalized_exts and hasattr(sample, "supported_exts"):
+            sample_exts = getattr(sample, "supported_exts") or []
+            if isinstance(sample_exts, list):
+                normalized_exts = [str(ext) for ext in sample_exts]
+
         if isinstance(schema, list):
             CONFIG_SCHEMAS[processor_type] = {
                 "type": processor_type,
                 "name": processor_name or processor_type,
-                "supported_exts": supported_exts or [],
+                "supported_exts": normalized_exts,
                 "config_schema": schema,
-                "produces_file": produces_file if produces_file is not None else False
+                "produces_file": produces_file if produces_file is not None else False,
+                "module_path": module_path,
             }
 
+    return LAST_DISCOVERY_ERRORS
+
+
 def get_config_schemas() -> Dict[str, dict]:
     return CONFIG_SCHEMAS
 
+
 def get_config_schema(processor_type: str):
     return CONFIG_SCHEMAS.get(processor_type)
 
+
 def get(processor_type: str) -> BaseProcessor:
     factory = TYPE_MAP.get(processor_type)
     if factory:
         return factory()
     return None
 
+
+def get_module_path(processor_type: str) -> Optional[str]:
+    meta = CONFIG_SCHEMAS.get(processor_type)
+    if not meta:
+        return None
+    return meta.get("module_path")
+
+
+def get_last_discovery_errors() -> list[str]:
+    return LAST_DISCOVERY_ERRORS
+
+
+def reload_processors() -> list[str]:
+    return discover_processors(force_reload=True)
+
+
 discover_processors()

services/processors/vector_index.py

@@ -1,14 +1,95 @@
-from typing import Dict, Any
+from typing import Dict, Any, List, Tuple
 from fastapi.responses import Response
 import base64
-from services.ai import describe_image_base64, get_text_embedding
-from services.vector_db import VectorDBService
+import mimetypes
+import os
+from io import BytesIO
+
+from services.ai import describe_image_base64, get_text_embedding, provider_service
+from services.vector_db import VectorDBService, DEFAULT_VECTOR_DIMENSION
 from services.logging import LogService
+from PIL import Image
+
+
+
+CHUNK_SIZE = 800
+CHUNK_OVERLAP = 200
+MAX_IMAGE_EDGE = 1600
+JPEG_QUALITY = 85
+
+
+def _chunk_text(content: str, chunk_size: int = CHUNK_SIZE, overlap: int = CHUNK_OVERLAP) -> List[Tuple[int, str, int, int]]:
+    """按固定窗口拆分文本，返回(chunk_id, chunk_text, start, end)。"""
+    if chunk_size <= 0:
+        chunk_size = CHUNK_SIZE
+    if overlap >= chunk_size:
+        overlap = max(chunk_size // 4, 1)
+
+    chunks: List[Tuple[int, str, int, int]] = []
+    step = chunk_size - overlap
+    idx = 0
+    start = 0
+    length = len(content)
+
+    while start < length:
+        end = min(length, start + chunk_size)
+        chunk = content[start:end].strip()
+        if chunk:
+            chunks.append((idx, chunk, start, end))
+            idx += 1
+        if end >= length:
+            break
+        start += step
+    return chunks
+
+
+def _guess_mime(path: str) -> str:
+    mime, _ = mimetypes.guess_type(path)
+    return mime or "application/octet-stream"
+
+
+def _chunk_key(path: str, chunk_id: str) -> str:
+    return f"{path}#chunk={chunk_id}"
+
+
+def _compress_image_for_embedding(input_bytes: bytes) -> Tuple[bytes, Dict[str, Any] | None]:
+    """压缩图片，降低发送到视觉模型的体积。"""
+    if Image is None:
+        return input_bytes, None
+
+    try:
+        with Image.open(BytesIO(input_bytes)) as img:
+            img = img.convert("RGB")
+            width, height = img.size
+            longest_edge = max(width, height)
+            scale = 1.0
+            if longest_edge > MAX_IMAGE_EDGE:
+                scale = MAX_IMAGE_EDGE / float(longest_edge)
+                new_size = (max(int(width * scale), 1), max(int(height * scale), 1))
+                resample_mode = getattr(getattr(Image, "Resampling", Image), "LANCZOS")
+                img = img.resize(new_size, resample=resample_mode)
+
+            buffer = BytesIO()
+            img.save(buffer, format="JPEG", quality=JPEG_QUALITY, optimize=True)
+            compressed = buffer.getvalue()
+
+            if len(compressed) < len(input_bytes):
+                return compressed, {
+                    "original_bytes": len(input_bytes),
+                    "compressed_bytes": len(compressed),
+                    "scaled": scale < 1.0,
+                    "width": img.width,
+                    "height": img.height,
+                }
+    except Exception:  # pragma: no cover - 任意图像处理异常时回退
+        return input_bytes, None
+
+    return input_bytes, None
 
 
 class VectorIndexProcessor:
     name = "向量索引"
-    supported_exts = ["jpg", "jpeg", "png", "bmp", "txt", "md"]
+    supported_exts: List[str] = []  # 留空表示不限扩展名
     config_schema = [
         {
             "key": "action", "label": "操作", "type": "select", "required": True, "default": "create",
@@ -32,8 +113,9 @@ class VectorIndexProcessor:
         index_type = config.get("index_type", "vector")
         vector_db = VectorDBService()
         collection_name = "vector_collection"
+
         if action == "destroy":
-            vector_db.delete_vector(collection_name, path)
+            await vector_db.delete_vector(collection_name, path)
             await LogService.info(
                 "processor:vector_index",
                 f"Destroyed {index_type} index for {path}",
@@ -41,9 +123,19 @@ class VectorIndexProcessor:
             )
             return Response(content=f"文件 {path} 的 {index_type} 索引已销毁", media_type="text/plain")
 
-        if index_type == 'simple':
-            vector_db.ensure_collection(collection_name, vector=False)
-            vector_db.upsert_vector(collection_name, {'path': path})
+        mime_type = _guess_mime(path)
+
+        if index_type == "simple":
+            await vector_db.ensure_collection(collection_name, vector=False)
+            await vector_db.delete_vector(collection_name, path)
+            await vector_db.upsert_vector(collection_name, {
+                "path": path,
+                "source_path": path,
+                "chunk_id": "filename",
+                "mime": mime_type,
+                "type": "filename",
+                "name": os.path.basename(path),
+            })
             await LogService.info(
                 "processor:vector_index",
                 f"Created simple index for {path}",
@@ -52,35 +144,116 @@ class VectorIndexProcessor:
             return Response(content=f"文件 {path} 的普通索引已创建", media_type="text/plain")
 
         file_ext = path.split('.')[-1].lower()
-        description = ""
-        embedding = None
+        details: Dict[str, Any] = {"path": path, "action": "create", "index_type": "vector"}
+
+        embedding_model = await provider_service.get_default_model("embedding")
+        vector_dim = DEFAULT_VECTOR_DIMENSION
+        if embedding_model and getattr(embedding_model, "embedding_dimensions", None):
+            try:
+                vector_dim = int(embedding_model.embedding_dimensions)
+            except (TypeError, ValueError):
+                vector_dim = DEFAULT_VECTOR_DIMENSION
+            if vector_dim <= 0:
+                vector_dim = DEFAULT_VECTOR_DIMENSION
+
+        await vector_db.ensure_collection(collection_name, vector=True, dim=vector_dim)
+        await vector_db.delete_vector(collection_name, path)
 
         if file_ext in ["jpg", "jpeg", "png", "bmp"]:
-            base64_image = base64.b64encode(input_bytes).decode("utf-8")
+            processed_bytes, compression = _compress_image_for_embedding(input_bytes)
+            base64_image = base64.b64encode(processed_bytes).decode("utf-8")
             description = await describe_image_base64(base64_image)
             embedding = await get_text_embedding(description)
-            log_message = f"Indexed image {path}"
-            response_message = f"图片已索引，描述：{description}"
-        elif file_ext in ["txt", "md"]:
-            text = input_bytes.decode("utf-8")
-            embedding = await get_text_embedding(text)
-            description = text[:100] + "..." if len(text) > 100 else text
-            log_message = f"Indexed text file {path}"
-            response_message = f"文本文件已索引"
-        
-        if embedding is None:
-            return Response(content="不支持的文件类型", status_code=400)
+            image_mime = "image/jpeg" if compression else mime_type
+            await vector_db.upsert_vector(collection_name, {
+                "path": _chunk_key(path, "image"),
+                "source_path": path,
+                "chunk_id": "image",
+                "embedding": embedding,
+                "text": description,
+                "mime": image_mime,
+                "type": "image",
+            })
+            details["description"] = description
+            if compression:
+                details["image_compression"] = compression
+            await LogService.info(
+                "processor:vector_index",
+                f"Indexed image {path}",
+                details=details,
+            )
+            return Response(content=f"图片已索引，描述：{description}", media_type="text/plain")
 
-        vector_db.ensure_collection(collection_name, vector=True)
-        vector_db.upsert_vector(
-            collection_name, {'path': path, 'embedding': embedding})
-        
+        if file_ext in ["txt", "md"]:
+            try:
+                text = input_bytes.decode("utf-8")
+            except UnicodeDecodeError:
+                return Response(content="文本文件解码失败", status_code=400)
+
+            chunks = _chunk_text(text)
+            if not chunks:
+                await vector_db.upsert_vector(collection_name, {
+                    "path": _chunk_key(path, "0"),
+                    "source_path": path,
+                    "chunk_id": "0",
+                    "embedding": await get_text_embedding(text or path),
+                    "text": text,
+                    "mime": mime_type,
+                    "type": "text",
+                    "start_offset": 0,
+                    "end_offset": len(text),
+                })
+                details["chunks"] = 1
+                await LogService.info(
+                    "processor:vector_index",
+                    f"Indexed text file {path}",
+                    details=details,
+                )
+                return Response(content="文本文件已索引", media_type="text/plain")
+
+            chunk_count = 0
+            for chunk_id, chunk_text, start, end in chunks:
+                embedding = await get_text_embedding(chunk_text)
+                await vector_db.upsert_vector(collection_name, {
+                    "path": _chunk_key(path, str(chunk_id)),
+                    "source_path": path,
+                    "chunk_id": str(chunk_id),
+                    "embedding": embedding,
+                    "text": chunk_text,
+                    "mime": mime_type,
+                    "type": "text",
+                    "start_offset": start,
+                    "end_offset": end,
+                })
+                chunk_count += 1
+
+            details["chunks"] = chunk_count
+            sample = chunks[0][1]
+            details["sample"] = sample[:120]
+            await LogService.info(
+                "processor:vector_index",
+                f"Indexed text file {path}",
+                details=details,
+            )
+            return Response(content="文本文件已索引", media_type="text/plain")
+
+        # 其他类型暂未支持向量索引，回退为文件名索引
+        await vector_db.delete_vector(collection_name, path)
+        await vector_db.upsert_vector(collection_name, {
+            "path": _chunk_key(path, "fallback"),
+            "source_path": path,
+            "chunk_id": "filename",
+            "mime": mime_type,
+            "type": "filename",
+            "name": os.path.basename(path),
+            "embedding": [0.0] * vector_dim,
+        })
         await LogService.info(
             "processor:vector_index",
-            log_message,
-            details={"path": path, "description": description, "action": "create", "index_type": "vector"},
+            f"File type fallback to simple index for {path}",
+            details={"path": path, "action": "create", "index_type": "simple", "original_type": file_ext},
         )
-        return Response(content=response_message, media_type="text/plain")
+        return Response(content="暂不支持该类型的向量索引，已创建文件名索引", media_type="text/plain")
 
 
 PROCESSOR_TYPE = "vector_index"

services/share.py

@@ -90,6 +90,16 @@ class ShareService:
             raise HTTPException(status_code=404, detail="分享链接不存在")
         await share.delete()
 
+    @staticmethod
+    async def delete_expired_shares(user: UserAccount) -> int:
+        """
+        删除当前用户所有已过期的分享链接，返回删除数量。
+        条件：expires_at 非空 且 小于等于当前时间（UTC）。
+        """
+        now = datetime.now(timezone.utc)
+        deleted_count = await ShareLink.filter(user=user, expires_at__lte=now).delete()
+        return deleted_count
+
     @staticmethod
     async def get_shared_item_details(share: ShareLink, sub_path: str = ""):
         """
@@ -122,4 +132,4 @@ class ShareService:
             raise e
 
 
-share_service = ShareService()
+share_service = ShareService()

services/task_queue.py

@@ -13,6 +13,14 @@ class TaskStatus(str, Enum):
     FAILED = "failed"
 
 
+class TaskProgress(BaseModel):
+    stage: str | None = None
+    percent: float | None = None
+    bytes_total: int | None = None
+    bytes_done: int | None = None
+    detail: str | None = None
+
+
 class Task(BaseModel):
     id: str = Field(default_factory=lambda: uuid.uuid4().hex)
     name: str
@@ -20,13 +28,20 @@ class Task(BaseModel):
     result: Any = None
     error: str | None = None
     task_info: Dict[str, Any] = {}
+    progress: TaskProgress | None = None
+    meta: Dict[str, Any] | None = None
+
+
+_SENTINEL = object()
 
 
 class TaskQueueService:
     def __init__(self):
-        self._queue = asyncio.Queue()
+        self._queue: asyncio.Queue[Task | object] = asyncio.Queue()
         self._tasks: Dict[str, Task] = {}
-        self._worker_task: asyncio.Task | None = None
+        self._worker_tasks: list[asyncio.Task] = []
+        self._concurrency: int = 1
+        self._worker_seq: int = 0
 
     async def add_task(self, name: str, task_info: Dict[str, Any]) -> Task:
         task = Task(name=name, task_info=task_info)
@@ -41,6 +56,21 @@ class TaskQueueService:
     def get_all_tasks(self) -> list[Task]:
         return list(self._tasks.values())
 
+    async def update_progress(self, task_id: str, progress: TaskProgress | Dict[str, Any]):
+        task = self._tasks.get(task_id)
+        if not task:
+            return
+        if isinstance(progress, TaskProgress):
+            task.progress = progress
+        else:
+            task.progress = TaskProgress(**progress)
+
+    async def update_meta(self, task_id: str, meta: Dict[str, Any]):
+        task = self._tasks.get(task_id)
+        if not task:
+            return
+        task.meta = (task.meta or {}) | meta
+
     async def _execute_task(self, task: Task):
         from services.virtual_fs import process_file
 
@@ -54,10 +84,11 @@ class TaskQueueService:
                     path=params["path"],
                     processor_type=params["processor_type"],
                     config=params["config"],
-                    save_to=params["save_to"]
+                    save_to=params.get("save_to"),
+                    overwrite=params.get("overwrite", False),
                 )
                 task.result = result
-            elif task.name == "automation_task":
+            elif task.name == "automation_task" or self._is_processor_task(task.name):
                 from models.database import AutomationTask
                 from services.processors.registry import get as get_processor
                 from services.virtual_fs import read_file, write_file
@@ -66,9 +97,21 @@ class TaskQueueService:
                 auto_task = await AutomationTask.get(id=params["task_id"])
                 path = params["path"]
 
-                processor = get_processor(auto_task.processor_type)
+                processor_type = auto_task.processor_type if task.name == "automation_task" else task.name
+                processor = get_processor(processor_type)
                 if not processor:
-                    raise ValueError(f"Processor {auto_task.processor_type} not found for task {auto_task.id}")
+                    raise ValueError(f"Processor {processor_type} not found for task {auto_task.id}")
+
+                if processor_type != auto_task.processor_type:
+                    await LogService.warning(
+                        "task_queue",
+                        "Processor type mismatch; falling back to stored type",
+                        {"task_id": auto_task.id, "expected": auto_task.processor_type, "got": processor_type},
+                    )
+                    processor_type = auto_task.processor_type
+                    processor = get_processor(processor_type)
+                    if not processor:
+                        raise ValueError(f"Processor {processor_type} not found for task {auto_task.id}")
 
                 file_content = await read_file(path)
                 result = await processor.process(file_content, path, auto_task.processor_config)
@@ -77,6 +120,20 @@ class TaskQueueService:
                 if save_to and getattr(processor, "produces_file", False):
                     await write_file(save_to, result)
                 task.result = "Automation task completed"
+            elif task.name == "offline_http_download":
+                from services.offline_download import run_http_download
+
+                result_path = await run_http_download(task)
+                task.result = {"path": result_path}
+            elif task.name == "cross_mount_transfer":
+                from services.virtual_fs import run_cross_mount_transfer_task
+
+                result = await run_cross_mount_transfer_task(task)
+                task.result = result
+            elif task.name == "send_email":
+                from services.email import EmailService
+                await EmailService.send_from_task(task.id, task.task_info)
+                task.result = "Email sent"
             else:
                 raise ValueError(f"Unknown task name: {task.name}")
             
@@ -88,35 +145,88 @@ class TaskQueueService:
             task.error = str(e)
             await LogService.error("task_queue", f"Task {task.name} ({task.id}) failed: {e}", {"task_id": task.id, "name": task.name})
 
-    async def worker(self):
-        await LogService.info("task_queue", "Task worker started")
-        while True:
-            try:
-                task = await self._queue.get()
-                await self._execute_task(task)
-            except asyncio.CancelledError:
-                await LogService.info("task_queue", "Task worker stopped")
-                break
-            except Exception as e:
-                await LogService.error("task_queue", f"Error in task worker: {e}", exc_info=True)
-            finally:
-                self._queue.task_done()
+    def _cleanup_workers(self):
+        self._worker_tasks = [task for task in self._worker_tasks if not task.done()]
 
-    async def start_worker(self):
-        if self._worker_task is None or self._worker_task.done():
-            self._worker_task = asyncio.create_task(self.worker())
-            await LogService.info("task_queue", "Task worker created.")
+    def _is_processor_task(self, task_name: str) -> bool:
+        try:
+            from services.processors.registry import get as get_processor
+
+            return get_processor(task_name) is not None
+        except Exception:
+            return False
+
+    async def _ensure_worker_count(self):
+        self._cleanup_workers()
+        current = len(self._worker_tasks)
+        if current < self._concurrency:
+            for _ in range(self._concurrency - current):
+                self._worker_seq += 1
+                worker_id = self._worker_seq
+                worker_task = asyncio.create_task(self._worker_loop(worker_id))
+                self._worker_tasks.append(worker_task)
+            await LogService.info("task_queue", "Task workers adjusted", {"active_workers": len(self._worker_tasks), "target": self._concurrency})
+        elif current > self._concurrency:
+            for _ in range(current - self._concurrency):
+                await self._queue.put(_SENTINEL)
+            await LogService.info("task_queue", "Task workers scaling down", {"active_workers": len(self._worker_tasks), "target": self._concurrency})
+
+    async def _worker_loop(self, worker_id: int):
+        current_task = asyncio.current_task()
+        await LogService.info("task_queue", f"Worker {worker_id} started")
+        try:
+            while True:
+                job = await self._queue.get()
+                if job is _SENTINEL:
+                    self._queue.task_done()
+                    break
+                try:
+                    await self._execute_task(job)
+                except Exception as e:
+                    await LogService.error(
+                        "task_queue",
+                        f"Error executing task {job.id}: {e}",
+                        {"task_id": job.id, "name": job.name},
+                    )
+                finally:
+                    self._queue.task_done()
+        finally:
+            if current_task in self._worker_tasks:
+                self._worker_tasks.remove(current_task)  # type: ignore[arg-type]
+            await LogService.info("task_queue", f"Worker {worker_id} stopped")
+
+    async def start_worker(self, concurrency: int | None = None):
+        if concurrency is None:
+            from services.config import ConfigCenter
+
+            stored_value = await ConfigCenter.get("TASK_QUEUE_CONCURRENCY", self._concurrency)
+            try:
+                concurrency = int(stored_value)
+            except (TypeError, ValueError):
+                concurrency = self._concurrency
+        await self.set_concurrency(concurrency)
+
+    async def set_concurrency(self, value: int):
+        value = max(1, int(value))
+        if value != self._concurrency:
+            self._concurrency = value
+        await self._ensure_worker_count()
 
     async def stop_worker(self):
-        if self._worker_task and not self._worker_task.done():
-            self._worker_task.cancel()
-            try:
-                await self._worker_task
-            except asyncio.CancelledError:
-                pass
-            finally:
-                self._worker_task = None
-                await LogService.info("task_queue", "Task worker has been stopped.")
+        self._cleanup_workers()
+        for _ in range(len(self._worker_tasks)):
+            await self._queue.put(_SENTINEL)
+        if self._worker_tasks:
+            await asyncio.gather(*self._worker_tasks, return_exceptions=True)
+        self._worker_tasks.clear()
+        await LogService.info("task_queue", "Task workers have been stopped.")
+
+    def get_concurrency(self) -> int:
+        return self._concurrency
+
+    def get_active_worker_count(self) -> int:
+        self._cleanup_workers()
+        return len(self._worker_tasks)
 
 
-task_queue_service = TaskQueueService()
+task_queue_service = TaskQueueService()

services/tasks.py

@@ -25,11 +25,11 @@ class TaskService:
 
     async def execute(self, task: AutomationTask, path: str):
         await task_queue_service.add_task(
-            "automation_task",
+            task.processor_type,
             {
                 "task_id": task.id,
                 "path": path,
             },
         )
 
-task_service = TaskService()
+task_service = TaskService()

services/thumbnail.py

@@ -1,6 +1,10 @@
 from __future__ import annotations
+import asyncio
+import inspect
 import io
 import hashlib
+import tempfile
+from contextlib import suppress
 from pathlib import Path
 from typing import Tuple
 from fastapi import HTTPException
@@ -8,7 +12,10 @@ from fastapi import HTTPException
 ALLOWED_EXT = {"jpg", "jpeg", "png", "webp", "gif", "bmp",
                "tiff", "arw", "cr2", "cr3", "nef", "rw2", "orf", "pef", "dng"}
 RAW_EXT = {"arw", "cr2", "cr3", "nef", "rw2", "orf", "pef", "dng"}
-MAX_SOURCE_SIZE = 200 * 1024 * 1024
+VIDEO_EXT = {"mp4", "mov", "m4v", "avi", "mkv", "wmv", "flv", "webm", "mpg", "mpeg", "3gp"}
+MAX_IMAGE_SOURCE_SIZE = 200 * 1024 * 1024
+VIDEO_RANGE_LIMIT = 16 * 1024 * 1024  # 16MB
+VIDEO_INITIAL_CHUNK = 4 * 1024 * 1024
 CACHE_ROOT = Path('data/.thumb_cache')
 
 
@@ -26,6 +33,13 @@ def is_raw_filename(name: str) -> bool:
     return parts[1].lower() in RAW_EXT
 
 
+def is_video_filename(name: str) -> bool:
+    parts = name.rsplit('.', 1)
+    if len(parts) < 2:
+        return False
+    return parts[1].lower() in VIDEO_EXT
+
+
 def _cache_key(adapter_id: int, rel: str, size: int, mtime: int, w: int, h: int, fit: str) -> str:
     raw = f"{adapter_id}|{rel}|{size}|{mtime}|{w}x{h}|{fit}".encode()
     return hashlib.sha1(raw).hexdigest()
@@ -40,6 +54,30 @@ def _ensure_cache_dir(p: Path):
     p.parent.mkdir(parents=True, exist_ok=True)
 
 
+def _image_to_webp(im, w: int, h: int, fit: str) -> Tuple[bytes, str]:
+    from PIL import Image
+    if im.mode not in ("RGB", "RGBA"):
+        im = im.convert("RGBA" if im.mode in ("P", "LA") else "RGB")
+    if fit == 'cover':
+        im_ratio = im.width / im.height
+        target_ratio = w / h
+        if im_ratio > target_ratio:
+            new_h = h
+            new_w = int(h * im_ratio)
+        else:
+            new_w = w
+            new_h = int(w / im_ratio)
+        im = im.resize((new_w, new_h))
+        left = max(0, (im.width - w)//2)
+        top = max(0, (im.height - h)//2)
+        im = im.crop((left, top, left + w, top + h))
+    else:
+        im.thumbnail((w, h))
+    buf = io.BytesIO()
+    im.save(buf, 'WEBP', quality=80)
+    return buf.getvalue(), 'image/webp'
+
+
 def generate_thumb(data: bytes, w: int, h: int, fit: str, is_raw: bool = False) -> Tuple[bytes, str]:
     from PIL import Image
     if is_raw:
@@ -64,35 +102,172 @@ def generate_thumb(data: bytes, w: int, h: int, fit: str, is_raw: bool = False)
     else:
         im = Image.open(io.BytesIO(data))
 
-    if im.mode not in ("RGB", "RGBA"):
-        im = im.convert("RGBA" if im.mode in ("P", "LA") else "RGB")
-    if fit == 'cover':
-        im_ratio = im.width / im.height
-        target_ratio = w / h
-        if im_ratio > target_ratio:
-            new_h = h
-            new_w = int(h * im_ratio)
-        else:
-            new_w = w
-            new_h = int(w / im_ratio)
-        im = im.resize((new_w, new_h))
-        left = max(0, (im.width - w)//2)
-        top = max(0, (im.height - h)//2)
-        im = im.crop((left, top, left + w, top + h))
-    else:
-        im.thumbnail((w, h))
-    buf = io.BytesIO()
-    im.save(buf, 'WEBP', quality=80)
-    return buf.getvalue(), 'image/webp'
+    return _image_to_webp(im, w, h, fit)
+
+
+async def _collect_response_bytes(response, limit: int) -> bytes:
+    if response is None:
+        return b""
+
+    try:
+        if isinstance(response, (bytes, bytearray)):
+            return bytes(response[:limit])
+
+        body = getattr(response, "body", None)
+        if body is not None:
+            return bytes(body[:limit])
+
+        iterator = getattr(response, "body_iterator", None)
+        if iterator is not None:
+            data = bytearray()
+            async for chunk in iterator:
+                if not chunk:
+                    continue
+                need = limit - len(data)
+                if need <= 0:
+                    break
+                data.extend(chunk[:need])
+                if len(data) >= limit:
+                    break
+            return bytes(data)
+
+        if hasattr(response, "__aiter__"):
+            data = bytearray()
+            async for chunk in response:
+                if not chunk:
+                    continue
+                need = limit - len(data)
+                if need <= 0:
+                    break
+                data.extend(chunk[:need])
+                if len(data) >= limit:
+                    break
+            return bytes(data)
+    finally:
+        close_func = getattr(response, "close", None)
+        if callable(close_func):
+            result = close_func()
+            if inspect.isawaitable(result):
+                await result
+
+    return b""
+
+
+async def _read_range_slice(adapter, root: str, rel: str, start: int, end: int) -> bytes:
+    read_range = getattr(adapter, "read_file_range", None)
+    if callable(read_range):
+        try:
+            return await read_range(root, rel, start, end)
+        except TypeError:
+            return await read_range(root, rel, start, end=end)
+
+    stream_impl = getattr(adapter, "stream_file", None)
+    if callable(stream_impl):
+        range_header = f"bytes={start}-{end}"
+        response = await stream_impl(root, rel, range_header)
+        expected = end - start + 1
+        return await _collect_response_bytes(response, expected)
+
+    read_file = getattr(adapter, "read_file", None)
+    if callable(read_file) and start == 0:
+        data = await read_file(root, rel)
+        slice_end = end + 1
+        return data[:slice_end]
+
+    return b""
+
+
+async def _read_video_prefix(adapter, root: str, rel: str, size: int, limit: int = VIDEO_RANGE_LIMIT) -> bytes:
+    chunk_size = min(VIDEO_INITIAL_CHUNK, limit)
+    offset = 0
+    collected = bytearray()
+
+    while len(collected) < limit:
+        end = offset + chunk_size - 1
+        data = await _read_range_slice(adapter, root, rel, offset, end)
+        if not data:
+            break
+        collected.extend(data)
+        if len(data) < chunk_size:
+            break
+        offset += len(data)
+        remaining = limit - len(collected)
+        if remaining <= 0:
+            break
+        chunk_size = min(chunk_size * 2, remaining)
+
+    if not collected and size <= limit:
+        read_file = getattr(adapter, "read_file", None)
+        if callable(read_file):
+            blob = await read_file(root, rel)
+            if blob:
+                return bytes(blob[:limit])
+
+    return bytes(collected[:limit])
+
+
+async def _run_ffmpeg_extract_frame(src_path: str, dst_path: str):
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-hide_banner",
+        "-loglevel", "error",
+        "-i", src_path,
+        "-frames:v", "1",
+        dst_path,
+    ]
+    try:
+        proc = await asyncio.create_subprocess_exec(
+            *cmd,
+            stdout=asyncio.subprocess.PIPE,
+            stderr=asyncio.subprocess.PIPE,
+        )
+    except FileNotFoundError as e:
+        raise RuntimeError("未找到 ffmpeg，可执行文件需要在 PATH 中") from e
+
+    stdout, stderr = await proc.communicate()
+    if proc.returncode != 0:
+        message = stderr.decode().strip() or stdout.decode().strip() or "ffmpeg 执行失败"
+        raise RuntimeError(message)
+
+
+async def _generate_video_thumb(video_bytes: bytes, rel: str, w: int, h: int, fit: str) -> Tuple[bytes, str]:
+    from PIL import Image
+
+    suffix = Path(rel).suffix or ".mp4"
+    src_tmp = tempfile.NamedTemporaryFile(suffix=suffix, delete=False)
+    src_path = src_tmp.name
+    try:
+        src_tmp.write(video_bytes)
+        src_tmp.flush()
+    finally:
+        src_tmp.close()
+
+    dst_tmp = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
+    dst_path = dst_tmp.name
+    dst_tmp.close()
+
+    try:
+        await _run_ffmpeg_extract_frame(src_path, dst_path)
+        with Image.open(dst_path) as im:
+            im.load()
+            return _image_to_webp(im, w, h, fit)
+    finally:
+        with suppress(FileNotFoundError):
+            Path(src_path).unlink()
+        with suppress(FileNotFoundError):
+            Path(dst_path).unlink()
 
 
 async def get_or_create_thumb(adapter, adapter_id: int, root: str, rel: str, w: int, h: int, fit: str = 'cover'):
     stat = await adapter.stat_file(root, rel)
-    if stat['size'] > MAX_SOURCE_SIZE:
+    size = int(stat.get('size') or 0)
+    is_video = is_video_filename(rel)
+    if not is_video and size > MAX_IMAGE_SOURCE_SIZE:
         raise HTTPException(400, detail="Image too large for thumbnail")
 
-    key = _cache_key(adapter_id, rel, stat['size'], int(
-        stat['mtime']), w, h, fit)
+    key = _cache_key(adapter_id, rel, size, int(
+        stat.get('mtime', 0)), w, h, fit)
     path = _cache_path(key)
     if path.exists():
         return path.read_bytes(), 'image/webp', key
@@ -119,14 +294,33 @@ async def get_or_create_thumb(adapter, adapter_id: int, root: str, rel: str, w:
                 thumb_bytes, mime = None, None
 
     if not thumb_bytes:
-        read_data = await adapter.read_file(root, rel)
-        try:
-            thumb_bytes, mime = generate_thumb(
-                read_data, w, h, fit, is_raw=is_raw_filename(rel))
-        except Exception as e:
-            print(e)
-            raise HTTPException(
-                500, detail=f"Thumbnail generation failed: {e}")
+        if is_video:
+            try:
+                video_bytes = await _read_video_prefix(adapter, root, rel, size)
+            except HTTPException:
+                raise
+            except Exception as e:
+                print(f"Video prefix read failed: {e}")
+                raise HTTPException(500, detail=f"Video read failed: {e}")
+
+            if not video_bytes:
+                raise HTTPException(500, detail="Unable to read video data for thumbnail")
+
+            try:
+                thumb_bytes, mime = await _generate_video_thumb(video_bytes, rel, w, h, fit)
+            except Exception as e:
+                print(f"Video thumbnail generation failed: {e}")
+                raise HTTPException(
+                    500, detail=f"Video thumbnail generation failed: {e}")
+        else:
+            read_data = await adapter.read_file(root, rel)
+            try:
+                thumb_bytes, mime = generate_thumb(
+                    read_data, w, h, fit, is_raw=is_raw_filename(rel))
+            except Exception as e:
+                print(e)
+                raise HTTPException(
+                    500, detail=f"Thumbnail generation failed: {e}")
 
     if thumb_bytes:
         path.write_bytes(thumb_bytes)

services/vector_db.py

@@ -1,83 +0,0 @@
-from pymilvus import CollectionSchema, DataType, FieldSchema, MilvusClient
-
-
-class VectorDBService:
-    _instance = None
-
-    def __new__(cls, *args, **kwargs):
-        if not cls._instance:
-            cls._instance = super(VectorDBService, cls).__new__(cls)
-        return cls._instance
-
-    def __init__(self):
-        if not hasattr(self, 'client'):
-            self.client = MilvusClient("data/db/milvus.db")
-
-    def ensure_collection(self, collection_name, vector: bool = True):
-        if self.client.has_collection(collection_name):
-            return
-        if vector:
-            fields = [
-                FieldSchema(name="path", dtype=DataType.VARCHAR,
-                            max_length=512, is_primary=True, auto_id=False),
-                FieldSchema(name="embedding",
-                            dtype=DataType.FLOAT_VECTOR, dim=4096)
-            ]
-            schema = CollectionSchema(
-                fields, description="Image vector collection")
-            self.client.create_collection(collection_name, schema=schema)
-            index_params = MilvusClient.prepare_index_params()
-            index_params.add_index(
-                field_name="embedding",
-                index_type="IVF_FLAT",
-                index_name="vector_index",
-                metric_type="COSINE",
-                params={
-                    "nlist": 64,
-                }
-            )
-            self.client.create_index(
-                collection_name,
-                index_params=index_params
-            )
-        else:
-            fields = [
-                FieldSchema(name="path", dtype=DataType.VARCHAR,
-                            max_length=512, is_primary=True, auto_id=False),
-            ]
-            schema = CollectionSchema(fields, description="Simple file index")
-            self.client.create_collection(collection_name, schema=schema)
-
-    def upsert_vector(self, collection_name, data):
-        self.client.upsert(collection_name, data)
-
-    def delete_vector(self, collection_name, path: str):
-        self.client.delete(collection_name, ids=[path])
-
-    def search_vectors(self, collection_name, query_embedding, top_k=5):
-        search_params = {"metric_type": "COSINE"}
-        results = self.client.search(
-            collection_name,
-            data=[query_embedding],
-            anns_field="embedding",
-            search_params=search_params,
-            limit=top_k,
-            output_fields=["path"]
-        )
-        print(results)
-        return results
-
-    def search_by_path(self, collection_name, query_path, top_k=20):
-        results = self.client.query(
-            collection_name,
-            filter=f"path like '%{query_path}%'",
-            limit=top_k,
-            output_fields=["path"]
-        )
-        return [[{'id': r['path'], 'distance': 1.0, 'entity': {'path': r['path']}} for r in results]]
-
-    def clear_all_data(self):
-        """清空所有集合的内容"""
-        collections = self.client.list_collections()
-        for collection_name in collections:
-            self.client.drop_collection(collection_name)

services/vector_db/__init__.py

@@ -0,0 +1,11 @@
+from .service import VectorDBService, DEFAULT_VECTOR_DIMENSION
+from .providers import list_providers, get_provider_entry
+from .config_manager import VectorDBConfigManager
+
+__all__ = [
+    "VectorDBService",
+    "DEFAULT_VECTOR_DIMENSION",
+    "list_providers",
+    "get_provider_entry",
+    "VectorDBConfigManager",
+]

services/vector_db/config_manager.py

@@ -0,0 +1,43 @@
+from __future__ import annotations
+
+import json
+from typing import Any, Dict, Tuple
+
+from services.config import ConfigCenter
+
+
+class VectorDBConfigManager:
+    TYPE_KEY = "VECTOR_DB_TYPE"
+    CONFIG_KEY = "VECTOR_DB_CONFIG"
+    DEFAULT_TYPE = "milvus_lite"
+
+    @classmethod
+    async def load_config(cls) -> Tuple[str, Dict[str, Any]]:
+        raw_type = await ConfigCenter.get(cls.TYPE_KEY, cls.DEFAULT_TYPE)
+        provider_type = str(raw_type or cls.DEFAULT_TYPE)
+
+        raw_config = await ConfigCenter.get(cls.CONFIG_KEY)
+        config_dict: Dict[str, Any] = {}
+        if isinstance(raw_config, str) and raw_config:
+            try:
+                config_dict = json.loads(raw_config)
+            except json.JSONDecodeError:
+                config_dict = {}
+        elif isinstance(raw_config, dict):
+            config_dict = raw_config
+        return provider_type, config_dict
+
+    @classmethod
+    async def save_config(cls, provider_type: str, config: Dict[str, Any]) -> None:
+        await ConfigCenter.set(cls.TYPE_KEY, provider_type)
+        await ConfigCenter.set(cls.CONFIG_KEY, json.dumps(config or {}))
+
+    @classmethod
+    async def get_type(cls) -> str:
+        provider_type, _ = await cls.load_config()
+        return provider_type
+
+    @classmethod
+    async def get_config(cls) -> Dict[str, Any]:
+        _, config = await cls.load_config()
+        return config

services/vector_db/providers/__init__.py

@@ -0,0 +1,56 @@
+from __future__ import annotations
+
+from typing import Dict, List, Type
+
+from .base import BaseVectorProvider
+from .milvus_lite import MilvusLiteProvider
+from .milvus_server import MilvusServerProvider
+from .qdrant import QdrantProvider
+
+_PROVIDER_REGISTRY: Dict[str, Dict[str, object]] = {
+    MilvusLiteProvider.type: {
+        "class": MilvusLiteProvider,
+        "label": MilvusLiteProvider.label,
+        "description": MilvusLiteProvider.description,
+        "enabled": MilvusLiteProvider.enabled,
+        "config_schema": MilvusLiteProvider.config_schema,
+    },
+    MilvusServerProvider.type: {
+        "class": MilvusServerProvider,
+        "label": MilvusServerProvider.label,
+        "description": MilvusServerProvider.description,
+        "enabled": MilvusServerProvider.enabled,
+        "config_schema": MilvusServerProvider.config_schema,
+    },
+    QdrantProvider.type: {
+        "class": QdrantProvider,
+        "label": QdrantProvider.label,
+        "description": QdrantProvider.description,
+        "enabled": QdrantProvider.enabled,
+        "config_schema": QdrantProvider.config_schema,
+    },
+}
+
+
+def list_providers() -> List[Dict[str, object]]:
+    return [
+        {
+            "type": type_key,
+            "label": meta["label"],
+            "description": meta.get("description"),
+            "enabled": meta.get("enabled", True),
+            "config_schema": meta.get("config_schema", []),
+        }
+        for type_key, meta in _PROVIDER_REGISTRY.items()
+    ]
+
+
+def get_provider_entry(provider_type: str) -> Dict[str, object] | None:
+    return _PROVIDER_REGISTRY.get(provider_type)
+
+
+def get_provider_class(provider_type: str) -> Type[BaseVectorProvider] | None:
+    entry = get_provider_entry(provider_type)
+    if not entry:
+        return None
+    return entry.get("class")  # type: ignore[return-value]

services/vector_db/providers/base.py

@@ -0,0 +1,41 @@
+from __future__ import annotations
+
+from typing import Any, Dict, List
+
+
+class BaseVectorProvider:
+    """向量数据库提供者基础类，所有实际实现需继承该类"""
+
+    type: str = ""
+    label: str = ""
+    description: str | None = None
+    enabled: bool = True
+    config_schema: List[Dict[str, Any]] = []
+
+    def __init__(self, config: Dict[str, Any] | None = None):
+        self.config = config or {}
+
+    async def initialize(self) -> None:
+        """执行初始化逻辑，例如建立连接"""
+        raise NotImplementedError
+
+    def ensure_collection(self, collection_name: str, vector: bool, dim: int) -> None:
+        raise NotImplementedError
+
+    def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
+        raise NotImplementedError
+
+    def delete_vector(self, collection_name: str, path: str) -> None:
+        raise NotImplementedError
+
+    def search_vectors(self, collection_name: str, query_embedding, top_k: int):
+        raise NotImplementedError
+
+    def search_by_path(self, collection_name: str, query_path: str, top_k: int):
+        raise NotImplementedError
+
+    def get_all_stats(self) -> Dict[str, Any]:
+        raise NotImplementedError
+
+    def clear_all_data(self) -> None:
+        raise NotImplementedError

services/vector_db/providers/milvus_lite.py

@@ -0,0 +1,278 @@
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+from pymilvus import CollectionSchema, DataType, FieldSchema, MilvusClient
+
+from .base import BaseVectorProvider
+
+
+class MilvusLiteProvider(BaseVectorProvider):
+    type = "milvus_lite"
+    label = "Milvus Lite"
+    description = "Embedded Milvus Lite (local file storage)."
+    enabled = True
+    config_schema: List[Dict[str, Any]] = [
+        {
+            "key": "db_path",
+            "label": "Database file path",
+            "type": "text",
+            "default": "data/db/milvus.db",
+            "required": False,
+        }
+    ]
+
+    def __init__(self, config: Dict[str, Any] | None = None):
+        super().__init__(config)
+        self.db_path = Path(self.config.get("db_path") or "data/db/milvus.db")
+        self.client: MilvusClient | None = None
+
+    async def initialize(self) -> None:
+        try:
+            self.client = MilvusClient(str(self.db_path))
+        except Exception as exc:  # pragma: no cover - depends on local environment
+            raise RuntimeError(f"Failed to open Milvus Lite at {self.db_path}: {exc}") from exc
+
+    def _get_client(self) -> MilvusClient:
+        if not self.client:
+            raise RuntimeError("Milvus Lite client is not initialized")
+        return self.client
+
+    @staticmethod
+    def _extract_hit_payload(hit: Any) -> tuple[Any, Any, Dict[str, Any]]:
+        hit_id = getattr(hit, "id", None)
+        distance = getattr(hit, "distance", None)
+        payload: Dict[str, Any] = {}
+
+        raw: Dict[str, Any] | None = None
+        if hasattr(hit, "entity"):
+            raw_entity = getattr(hit, "entity")
+            if hasattr(raw_entity, "to_dict"):
+                raw = dict(raw_entity.to_dict())
+            else:
+                raw = dict(raw_entity)
+        elif isinstance(hit, dict):
+            raw = dict(hit)
+
+        if raw:
+            hit_id = hit_id or raw.get("id")
+            distance = distance if distance is not None else raw.get("distance")
+            inner = raw.get("entity")
+            if isinstance(inner, dict):
+                payload = dict(inner)
+            else:
+                payload = {k: v for k, v in raw.items() if k not in {"id", "distance", "entity"}}
+
+        payload.setdefault("path", payload.get("source_path"))
+        payload.setdefault("source_path", payload.get("path"))
+        return hit_id, distance, payload
+
+    @staticmethod
+    def _to_int(value: Any) -> int:
+        try:
+            return int(value)
+        except (TypeError, ValueError):
+            return 0
+
+    def ensure_collection(self, collection_name: str, vector: bool, dim: int) -> None:
+        client = self._get_client()
+        if client.has_collection(collection_name):
+            return
+        common_fields = [
+            FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
+            FieldSchema(name="source_path", dtype=DataType.VARCHAR, max_length=512, is_primary=False, auto_id=False),
+        ]
+
+        if vector:
+            vector_dim = dim if isinstance(dim, int) and dim > 0 else 0
+            if vector_dim <= 0:
+                vector_dim = 4096
+            fields = [
+                *common_fields,
+                FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=vector_dim),
+            ]
+            schema = CollectionSchema(fields, description="Vector collection", enable_dynamic_field=True)
+            client.create_collection(collection_name, schema=schema)
+            index_params = MilvusClient.prepare_index_params()
+            index_params.add_index(
+                field_name="embedding",
+                index_type="IVF_FLAT",
+                index_name="vector_index",
+                metric_type="COSINE",
+                params={"nlist": 64},
+            )
+            client.create_index(collection_name, index_params=index_params)
+        else:
+            schema = CollectionSchema(common_fields, description="Simple file index", enable_dynamic_field=True)
+            client.create_collection(collection_name, schema=schema)
+
+    def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
+        payload = dict(data)
+        payload.setdefault("source_path", payload.get("path"))
+        payload.setdefault("vector_id", payload.get("path"))
+        self._get_client().upsert(collection_name, data=[payload])
+
+    def delete_vector(self, collection_name: str, path: str) -> None:
+        client = self._get_client()
+        escaped = path.replace('"', '\\"')
+        client.delete(collection_name, filter=f'source_path == "{escaped}"')
+
+    def search_vectors(self, collection_name: str, query_embedding, top_k: int):
+        search_params = {"metric_type": "COSINE"}
+        output_fields = [
+            "path",
+            "source_path",
+            "chunk_id",
+            "mime",
+            "text",
+            "start_offset",
+            "end_offset",
+            "type",
+            "name",
+        ]
+        raw_results = self._get_client().search(
+            collection_name,
+            data=[query_embedding],
+            anns_field="embedding",
+            search_params=search_params,
+            limit=top_k,
+            output_fields=output_fields,
+        )
+        formatted: List[List[Dict[str, Any]]] = []
+        for hits in raw_results:
+            bucket: List[Dict[str, Any]] = []
+            for hit in hits:
+                hit_id, distance, entity = self._extract_hit_payload(hit)
+                bucket.append({
+                    "id": hit_id,
+                    "distance": distance,
+                    "entity": entity,
+                })
+            formatted.append(bucket)
+        return formatted
+
+    def search_by_path(self, collection_name: str, query_path: str, top_k: int):
+        if query_path:
+            escaped = query_path.replace('"', '\\"')
+            filter_expr = f'source_path like "%{escaped}%"'
+        else:
+            filter_expr = "source_path like '%%'"
+        results = self._get_client().query(
+            collection_name,
+            filter=filter_expr,
+            limit=top_k,
+            output_fields=[
+                "path",
+                "source_path",
+                "chunk_id",
+                "mime",
+                "text",
+                "start_offset",
+                "end_offset",
+                "type",
+                "name",
+            ],
+        )
+        formatted = []
+        for row in results:
+            entity = dict(row)
+            entity.setdefault("path", entity.get("source_path"))
+            formatted.append({
+                "id": entity.get("path"),
+                "distance": 1.0,
+                "entity": entity,
+            })
+        return [formatted]
+
+    def get_all_stats(self) -> Dict[str, Any]:
+        client = self._get_client()
+        try:
+            collection_names = client.list_collections()
+        except Exception as exc:
+            raise RuntimeError(f"Failed to list collections: {exc}") from exc
+
+        collections: List[Dict[str, Any]] = []
+        total_vectors = 0
+        total_estimated_memory = 0
+
+        for name in collection_names:
+            try:
+                stats = client.get_collection_stats(name) or {}
+            except Exception:
+                stats = {}
+            row_count = self._to_int(stats.get("row_count"))
+            total_vectors += row_count
+
+            dimension: Optional[int] = None
+            is_vector_collection = False
+            try:
+                description = client.describe_collection(name)
+            except Exception:
+                description = None
+
+            if description:
+                for field in description.get("fields", []):
+                    if field.get("type") == DataType.FLOAT_VECTOR:
+                        params = field.get("params") or {}
+                        dimension = self._to_int(params.get("dim")) or 4096
+                        is_vector_collection = True
+                        break
+
+            estimated_memory = 0
+            if is_vector_collection and dimension:
+                estimated_memory = row_count * dimension * 4
+                total_estimated_memory += estimated_memory
+
+            indexes: List[Dict[str, Any]] = []
+            try:
+                index_names = client.list_indexes(name) or []
+            except Exception:
+                index_names = []
+
+            for index_name in index_names:
+                try:
+                    detail = client.describe_index(name, index_name) or {}
+                except Exception:
+                    detail = {}
+                indexes.append(
+                    {
+                        "index_name": index_name,
+                        "index_type": detail.get("index_type"),
+                        "metric_type": detail.get("metric_type"),
+                        "indexed_rows": self._to_int(detail.get("indexed_rows")),
+                        "pending_index_rows": self._to_int(detail.get("pending_index_rows")),
+                        "state": detail.get("state"),
+                    }
+                )
+
+            collections.append(
+                {
+                    "name": name,
+                    "row_count": row_count,
+                    "dimension": dimension if is_vector_collection else None,
+                    "estimated_memory_bytes": estimated_memory,
+                    "is_vector_collection": is_vector_collection,
+                    "indexes": indexes,
+                }
+            )
+
+        db_file_size = None
+        try:
+            if self.db_path.exists():
+                db_file_size = self.db_path.stat().st_size
+        except OSError:
+            db_file_size = None
+
+        return {
+            "collections": collections,
+            "collection_count": len(collections),
+            "total_vectors": total_vectors,
+            "estimated_total_memory_bytes": total_estimated_memory,
+            "db_file_size_bytes": db_file_size,
+        }
+
+    def clear_all_data(self) -> None:
+        client = self._get_client()
+        for collection_name in client.list_collections():
+            client.drop_collection(collection_name)

services/vector_db/providers/milvus_server.py

@@ -0,0 +1,278 @@
+from __future__ import annotations
+
+from typing import Any, Dict, List, Optional
+
+from pymilvus import CollectionSchema, DataType, FieldSchema, MilvusClient
+
+from .base import BaseVectorProvider
+
+
+class MilvusServerProvider(BaseVectorProvider):
+    type = "milvus_server"
+    label = "Milvus Server"
+    description = "Remote Milvus instance accessed via URI."
+    enabled = True
+    config_schema: List[Dict[str, Any]] = [
+        {
+            "key": "uri",
+            "label": "Server URI",
+            "type": "text",
+            "required": True,
+            "placeholder": "http://localhost:19530",
+        },
+        {
+            "key": "token",
+            "label": "Token",
+            "type": "password",
+            "required": False,
+            "placeholder": "user:password",
+        },
+    ]
+
+    def __init__(self, config: Dict[str, Any] | None = None):
+        super().__init__(config)
+        self.client: MilvusClient | None = None
+
+    async def initialize(self) -> None:
+        uri = self.config.get("uri")
+        if not uri:
+            raise RuntimeError("Milvus Server URI is required")
+        try:
+            self.client = MilvusClient(uri=uri, token=self.config.get("token"))
+        except Exception as exc:  # pragma: no cover - depends on remote availability
+            raise RuntimeError(f"Failed to connect to Milvus Server {uri}: {exc}") from exc
+
+    def _get_client(self) -> MilvusClient:
+        if not self.client:
+            raise RuntimeError("Milvus Server client is not initialized")
+        return self.client
+
+    @staticmethod
+    def _extract_hit_payload(hit: Any) -> tuple[Any, Any, Dict[str, Any]]:
+        hit_id = getattr(hit, "id", None)
+        distance = getattr(hit, "distance", None)
+        payload: Dict[str, Any] = {}
+
+        raw: Dict[str, Any] | None = None
+        if hasattr(hit, "entity"):
+            raw_entity = getattr(hit, "entity")
+            if hasattr(raw_entity, "to_dict"):
+                raw = dict(raw_entity.to_dict())
+            else:
+                raw = dict(raw_entity)
+        elif isinstance(hit, dict):
+            raw = dict(hit)
+
+        if raw:
+            hit_id = hit_id or raw.get("id")
+            distance = distance if distance is not None else raw.get("distance")
+            inner = raw.get("entity")
+            if isinstance(inner, dict):
+                payload = dict(inner)
+            else:
+                payload = {k: v for k, v in raw.items() if k not in {"id", "distance", "entity"}}
+
+        payload.setdefault("path", payload.get("source_path"))
+        payload.setdefault("source_path", payload.get("path"))
+        return hit_id, distance, payload
+
+    @staticmethod
+    def _to_int(value: Any) -> int:
+        try:
+            return int(value)
+        except (TypeError, ValueError):
+            return 0
+
+    def ensure_collection(self, collection_name: str, vector: bool, dim: int) -> None:
+        client = self._get_client()
+        if client.has_collection(collection_name):
+            return
+        common_fields = [
+            FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
+            FieldSchema(name="source_path", dtype=DataType.VARCHAR, max_length=512, is_primary=False, auto_id=False),
+        ]
+        if vector:
+            vector_dim = dim if isinstance(dim, int) and dim > 0 else 0
+            if vector_dim <= 0:
+                vector_dim = 4096
+            fields = [
+                *common_fields,
+                FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=vector_dim),
+            ]
+            schema = CollectionSchema(fields, description="Vector collection", enable_dynamic_field=True)
+            client.create_collection(collection_name, schema=schema)
+            index_params = MilvusClient.prepare_index_params()
+            index_params.add_index(
+                field_name="embedding",
+                index_type="IVF_FLAT",
+                index_name="vector_index",
+                metric_type="COSINE",
+                params={"nlist": 64},
+            )
+            client.create_index(collection_name, index_params=index_params)
+        else:
+            schema = CollectionSchema(common_fields, description="Simple file index", enable_dynamic_field=True)
+            client.create_collection(collection_name, schema=schema)
+
+    def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
+        payload = dict(data)
+        payload.setdefault("source_path", payload.get("path"))
+        payload.setdefault("vector_id", payload.get("path"))
+        self._get_client().upsert(collection_name, data=[payload])
+
+    def delete_vector(self, collection_name: str, path: str) -> None:
+        client = self._get_client()
+        escaped = path.replace('"', '\\"')
+        client.delete(collection_name, filter=f'source_path == "{escaped}"')
+
+    def search_vectors(self, collection_name: str, query_embedding, top_k: int):
+        search_params = {"metric_type": "COSINE"}
+        output_fields = [
+            "path",
+            "source_path",
+            "chunk_id",
+            "mime",
+            "text",
+            "start_offset",
+            "end_offset",
+            "type",
+            "name",
+        ]
+        raw_results = self._get_client().search(
+            collection_name,
+            data=[query_embedding],
+            anns_field="embedding",
+            search_params=search_params,
+            limit=top_k,
+            output_fields=output_fields,
+        )
+        formatted: List[List[Dict[str, Any]]] = []
+        for hits in raw_results:
+            bucket: List[Dict[str, Any]] = []
+            for hit in hits:
+                hit_id, distance, entity = self._extract_hit_payload(hit)
+                bucket.append({
+                    "id": hit_id,
+                    "distance": distance,
+                    "entity": entity,
+                })
+            formatted.append(bucket)
+        return formatted
+
+    def search_by_path(self, collection_name: str, query_path: str, top_k: int):
+        if query_path:
+            escaped = query_path.replace('"', '\\"')
+            filter_expr = f'source_path like "%{escaped}%"'
+        else:
+            filter_expr = "source_path like '%%'"
+        results = self._get_client().query(
+            collection_name,
+            filter=filter_expr,
+            limit=top_k,
+            output_fields=[
+                "path",
+                "source_path",
+                "chunk_id",
+                "mime",
+                "text",
+                "start_offset",
+                "end_offset",
+                "type",
+                "name",
+            ],
+        )
+        formatted = []
+        for row in results:
+            entity = dict(row)
+            entity.setdefault("path", entity.get("source_path"))
+            formatted.append({
+                "id": entity.get("path"),
+                "distance": 1.0,
+                "entity": entity,
+            })
+        return [formatted]
+
+    def get_all_stats(self) -> Dict[str, Any]:
+        client = self._get_client()
+        try:
+            collection_names = client.list_collections()
+        except Exception as exc:
+            raise RuntimeError(f"Failed to list collections: {exc}") from exc
+
+        collections: List[Dict[str, Any]] = []
+        total_vectors = 0
+        total_estimated_memory = 0
+
+        for name in collection_names:
+            try:
+                stats = client.get_collection_stats(name) or {}
+            except Exception:
+                stats = {}
+            row_count = self._to_int(stats.get("row_count"))
+            total_vectors += row_count
+
+            dimension: Optional[int] = None
+            is_vector_collection = False
+            try:
+                description = client.describe_collection(name)
+            except Exception:
+                description = None
+
+            if description:
+                for field in description.get("fields", []):
+                    if field.get("type") == DataType.FLOAT_VECTOR:
+                        params = field.get("params") or {}
+                        dimension = self._to_int(params.get("dim")) or 4096
+                        is_vector_collection = True
+                        break
+
+            estimated_memory = 0
+            if is_vector_collection and dimension:
+                estimated_memory = row_count * dimension * 4
+                total_estimated_memory += estimated_memory
+
+            indexes: List[Dict[str, Any]] = []
+            try:
+                index_names = client.list_indexes(name) or []
+            except Exception:
+                index_names = []
+
+            for index_name in index_names:
+                try:
+                    detail = client.describe_index(name, index_name) or {}
+                except Exception:
+                    detail = {}
+                indexes.append(
+                    {
+                        "index_name": index_name,
+                        "index_type": detail.get("index_type"),
+                        "metric_type": detail.get("metric_type"),
+                        "indexed_rows": self._to_int(detail.get("indexed_rows")),
+                        "pending_index_rows": self._to_int(detail.get("pending_index_rows")),
+                        "state": detail.get("state"),
+                    }
+                )
+
+            collections.append(
+                {
+                    "name": name,
+                    "row_count": row_count,
+                    "dimension": dimension if is_vector_collection else None,
+                    "estimated_memory_bytes": estimated_memory,
+                    "is_vector_collection": is_vector_collection,
+                    "indexes": indexes,
+                }
+            )
+
+        return {
+            "collections": collections,
+            "collection_count": len(collections),
+            "total_vectors": total_vectors,
+            "estimated_total_memory_bytes": total_estimated_memory,
+            "db_file_size_bytes": None,
+        }
+
+    def clear_all_data(self) -> None:
+        client = self._get_client()
+        for collection_name in client.list_collections():
+            client.drop_collection(collection_name)

services/vector_db/providers/qdrant.py

@@ -0,0 +1,275 @@
+from __future__ import annotations
+
+from typing import Any, Dict, List, Optional, Sequence
+from uuid import NAMESPACE_URL, uuid5
+
+from qdrant_client import QdrantClient
+from qdrant_client.http import models as qmodels
+
+from .base import BaseVectorProvider
+
+
+class QdrantProvider(BaseVectorProvider):
+    type = "qdrant"
+    label = "Qdrant"
+    description = "Qdrant vector database (HTTP API)."
+    enabled = True
+    config_schema: List[Dict[str, Any]] = [
+        {
+            "key": "url",
+            "label": "Server URL",
+            "type": "text",
+            "required": True,
+            "placeholder": "http://localhost:6333",
+        },
+        {
+            "key": "api_key",
+            "label": "API Key",
+            "type": "password",
+            "required": False,
+        },
+    ]
+
+    def __init__(self, config: Dict[str, Any] | None = None):
+        super().__init__(config)
+        self.client: Optional[QdrantClient] = None
+
+    async def initialize(self) -> None:
+        url = (self.config.get("url") or "").strip()
+        if not url:
+            raise RuntimeError("Qdrant URL is required")
+
+        api_key = (self.config.get("api_key") or None) or None
+        try:
+            client = QdrantClient(url=url, api_key=api_key)
+            # 简单连通性校验
+            client.get_collections()
+            self.client = client
+        except Exception as exc:  # pragma: no cover - 依赖外部服务
+            raise RuntimeError(f"Failed to connect to Qdrant at {url}: {exc}") from exc
+
+    def _get_client(self) -> QdrantClient:
+        if not self.client:
+            raise RuntimeError("Qdrant client is not initialized")
+        return self.client
+
+    @staticmethod
+    def _vector_params(vector: bool, dim: int) -> qmodels.VectorParams:
+        size = dim if vector and isinstance(dim, int) and dim > 0 else 1
+        return qmodels.VectorParams(size=size, distance=qmodels.Distance.COSINE)
+
+    def _ensure_payload_indexes(self, client: QdrantClient, collection_name: str) -> None:
+        for field in ("path", "source_path"):
+            try:
+                client.create_payload_index(
+                    collection_name=collection_name,
+                    field_name=field,
+                    field_schema="keyword",
+                )
+            except Exception as exc:  # pragma: no cover - 依赖外部服务
+                message = str(exc).lower()
+                if "already exists" in message or "index exists" in message:
+                    continue
+                # 旧版本 qdrant 可能返回带状态码的异常，这里容忍重复创建
+                raise
+
+    def ensure_collection(self, collection_name: str, vector: bool, dim: int) -> None:
+        client = self._get_client()
+        try:
+            exists = client.collection_exists(collection_name)
+        except Exception as exc:  # pragma: no cover - 依赖外部服务
+            raise RuntimeError(f"Failed to check Qdrant collection '{collection_name}': {exc}") from exc
+
+        if exists:
+            try:
+                self._ensure_payload_indexes(client, collection_name)
+            except Exception:
+                pass
+            return
+
+        vectors_config = self._vector_params(vector, dim)
+        try:
+            client.create_collection(collection_name=collection_name, vectors_config=vectors_config)
+        except Exception as exc:  # pragma: no cover
+            if "already exists" in str(exc).lower():
+                try:
+                    self._ensure_payload_indexes(client, collection_name)
+                except Exception:
+                    pass
+                return
+            raise RuntimeError(f"Failed to create Qdrant collection '{collection_name}': {exc}") from exc
+
+        try:
+            self._ensure_payload_indexes(client, collection_name)
+        except Exception:
+            pass
+
+    @staticmethod
+    def _point_id(uid: str) -> str:
+        return str(uuid5(NAMESPACE_URL, uid))
+
+    def _prepare_point(self, data: Dict[str, Any]) -> qmodels.PointStruct:
+        uid = data.get("path")
+        if not uid:
+            raise ValueError("Qdrant upsert requires 'path' in data")
+
+        embedding = data.get("embedding")
+        if embedding is None:
+            vector = [0.0]
+        else:
+            vector = [float(x) for x in embedding]
+
+        payload = {k: v for k, v in data.items() if k != "embedding"}
+        payload.setdefault("vector_id", uid)
+        source_path = payload.get("source_path") or payload.get("path")
+        payload["path"] = source_path
+        return qmodels.PointStruct(id=self._point_id(str(uid)), vector=vector, payload=payload)
+
+    def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
+        client = self._get_client()
+        point = self._prepare_point(data)
+        client.upsert(collection_name=collection_name, wait=True, points=[point])
+
+    def delete_vector(self, collection_name: str, path: str) -> None:
+        client = self._get_client()
+        condition = qmodels.FieldCondition(
+            key="path",
+            match=qmodels.MatchValue(value=path),
+        )
+        flt = qmodels.Filter(must=[condition])
+        selector = qmodels.FilterSelector(filter=flt)
+        client.delete(collection_name=collection_name, points_selector=selector, wait=True)
+
+    def _format_search_results(self, points: Sequence[qmodels.ScoredPoint]):
+        return [
+            {
+                "id": point.id,
+                "distance": point.score,
+                "entity": point.payload or {},
+            }
+            for point in points
+        ]
+
+    def search_vectors(self, collection_name: str, query_embedding, top_k: int):
+        client = self._get_client()
+        vector = [float(x) for x in query_embedding]
+        points = client.search(
+            collection_name=collection_name,
+            query_vector=vector,
+            limit=top_k,
+            with_payload=True,
+        )
+        return [self._format_search_results(points)]
+
+    def search_by_path(self, collection_name: str, query_path: str, top_k: int):
+        client = self._get_client()
+        results: List[Dict[str, Any]] = []
+        offset: Optional[str | int] = None
+        remaining = max(top_k, 1)
+
+        while len(results) < top_k:
+            batch_size = min(max(remaining * 2, 10), 200)
+            records, next_offset = client.scroll(
+                collection_name=collection_name,
+                limit=batch_size,
+                offset=offset,
+                with_payload=True,
+            )
+            if not records:
+                break
+
+            for record in records:
+                payload = record.payload or {}
+                path = payload.get("path")
+                if query_path and path and query_path not in path:
+                    continue
+                results.append({"id": record.id, "distance": 1.0, "entity": payload})
+                if len(results) >= top_k:
+                    break
+
+            if next_offset is None or len(results) >= top_k:
+                break
+            offset = next_offset
+            remaining = top_k - len(results)
+
+        return [results]
+
+    def _extract_vector_config(self, vectors) -> Optional[qmodels.VectorParams]:
+        if isinstance(vectors, qmodels.VectorParams):
+            return vectors
+        if isinstance(vectors, dict):
+            for value in vectors.values():
+                if isinstance(value, qmodels.VectorParams):
+                    return value
+        return None
+
+    def get_all_stats(self) -> Dict[str, Any]:
+        client = self._get_client()
+        try:
+            response = client.get_collections()
+        except Exception as exc:  # pragma: no cover
+            raise RuntimeError(f"Failed to list Qdrant collections: {exc}") from exc
+
+        collections: List[Dict[str, Any]] = []
+        total_vectors = 0
+        total_estimated_memory = 0
+
+        for description in response.collections or []:
+            name = description.name
+            try:
+                info = client.get_collection(name)
+            except Exception:
+                continue
+
+            row_count = int(info.points_count or 0)
+            total_vectors += row_count
+
+            vector_params = self._extract_vector_config(info.config.params.vectors if info.config and info.config.params else None)
+            dimension = int(vector_params.size) if vector_params and vector_params.size else None
+            estimated_memory = row_count * dimension * 4 if dimension else 0
+            total_estimated_memory += estimated_memory
+            distance = str(vector_params.distance) if vector_params and vector_params.distance else None
+
+            indexed_rows = int(info.indexed_vectors_count or 0)
+            pending_rows = max(row_count - indexed_rows, 0)
+
+            collections.append(
+                {
+                    "name": name,
+                    "row_count": row_count,
+                    "dimension": dimension,
+                    "estimated_memory_bytes": estimated_memory,
+                    "is_vector_collection": dimension is not None and dimension > 1,
+                    "indexes": [
+                        {
+                            "index_name": "hnsw",
+                            "index_type": "HNSW",
+                            "metric_type": distance,
+                            "indexed_rows": indexed_rows,
+                            "pending_index_rows": pending_rows,
+                            "state": info.status,
+                        }
+                    ],
+                }
+            )
+
+        return {
+            "collections": collections,
+            "collection_count": len(collections),
+            "total_vectors": total_vectors,
+            "estimated_total_memory_bytes": total_estimated_memory,
+            "db_file_size_bytes": None,
+        }
+
+    def clear_all_data(self) -> None:
+        client = self._get_client()
+        try:
+            response = client.get_collections()
+        except Exception as exc:  # pragma: no cover
+            raise RuntimeError(f"Failed to list Qdrant collections: {exc}") from exc
+
+        for description in response.collections or []:
+            try:
+                client.delete_collection(description.name)
+            except Exception:
+                continue

services/vector_db/service.py

@@ -0,0 +1,99 @@
+from __future__ import annotations
+
+import asyncio
+from typing import Any, Dict, Optional
+
+from .config_manager import VectorDBConfigManager
+from .providers import get_provider_class, get_provider_entry
+from .providers.base import BaseVectorProvider
+
+DEFAULT_VECTOR_DIMENSION = 4096
+
+
+class VectorDBService:
+    _instance: "VectorDBService" | None = None
+
+    def __new__(cls, *args, **kwargs):
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+        return cls._instance
+
+    def __init__(self):
+        if not hasattr(self, "_provider"):
+            self._provider: Optional[BaseVectorProvider] = None
+            self._provider_type: Optional[str] = None
+            self._provider_config: Dict[str, Any] | None = None
+            self._lock = asyncio.Lock()
+
+    async def _ensure_provider(self) -> BaseVectorProvider:
+        if self._provider is None:
+            await self.reload()
+        assert self._provider is not None  # for type checker
+        return self._provider
+
+    async def reload(self) -> BaseVectorProvider:
+        async with self._lock:
+            provider_type, provider_config = await VectorDBConfigManager.load_config()
+            normalized_config = dict(provider_config or {})
+            if (
+                self._provider
+                and self._provider_type == provider_type
+                and self._provider_config == normalized_config
+            ):
+                return self._provider
+
+            entry = get_provider_entry(provider_type)
+            if not entry:
+                raise RuntimeError(f"Unknown vector database provider: {provider_type}")
+            if not entry.get("enabled", True):
+                raise RuntimeError(f"Vector database provider '{provider_type}' is disabled")
+
+            provider_cls = get_provider_class(provider_type)
+            if not provider_cls:
+                raise RuntimeError(f"Provider class not found for '{provider_type}'")
+
+            provider = provider_cls(provider_config)
+            await provider.initialize()
+
+            self._provider = provider
+            self._provider_type = provider_type
+            self._provider_config = normalized_config
+            return provider
+
+    async def ensure_collection(self, collection_name: str, vector: bool = True, dim: int = DEFAULT_VECTOR_DIMENSION) -> None:
+        provider = await self._ensure_provider()
+        provider.ensure_collection(collection_name, vector, dim)
+
+    async def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
+        provider = await self._ensure_provider()
+        provider.upsert_vector(collection_name, data)
+
+    async def delete_vector(self, collection_name: str, path: str) -> None:
+        provider = await self._ensure_provider()
+        provider.delete_vector(collection_name, path)
+
+    async def search_vectors(self, collection_name: str, query_embedding, top_k: int = 5):
+        provider = await self._ensure_provider()
+        return provider.search_vectors(collection_name, query_embedding, top_k)
+
+    async def search_by_path(self, collection_name: str, query_path: str, top_k: int = 20):
+        provider = await self._ensure_provider()
+        return provider.search_by_path(collection_name, query_path, top_k)
+
+    async def get_all_stats(self) -> Dict[str, Any]:
+        provider = await self._ensure_provider()
+        return provider.get_all_stats()
+
+    async def clear_all_data(self) -> None:
+        provider = await self._ensure_provider()
+        provider.clear_all_data()
+
+    async def current_provider(self) -> Dict[str, Any]:
+        provider_type, provider_config = await VectorDBConfigManager.load_config()
+        entry = get_provider_entry(provider_type) or {}
+        return {
+            "type": provider_type,
+            "config": provider_config,
+            "label": entry.get("label"),
+            "enabled": entry.get("enabled", True),
+        }

services/virtual_fs.py

@@ -1,4 +1,6 @@
-from typing import Dict, Tuple, Any, Union, AsyncIterator
+from __future__ import annotations
+
+from typing import Dict, Tuple, Any, Union, AsyncIterator, List, TYPE_CHECKING
 from fastapi import HTTPException
 import mimetypes
 from fastapi.responses import Response
@@ -6,15 +8,50 @@ import time
 import hmac
 import hashlib
 import base64
+from pathlib import Path
+import shutil
+import aiofiles
 
 from models import StorageAdapter
 from .adapters.registry import runtime_registry
 from api.response import page
-from .thumbnail import is_image_filename, is_raw_filename
+from .thumbnail import is_image_filename, is_raw_filename, is_video_filename
 from services.processors.registry import get as get_processor
 from services.tasks import task_service
 from services.logging import LogService
 from services.config import ConfigCenter
+from services.vector_db import VectorDBService
+
+
+CROSS_TRANSFER_TEMP_ROOT = Path("data/tmp/cross_transfer")
+DIRECT_REDIRECT_CONFIG_KEY = "enable_direct_download_307"
+
+if TYPE_CHECKING:
+    from services.task_queue import Task
+
+
+def _build_absolute_path(mount_path: str, rel_path: str) -> str:
+    rel_norm = rel_path.lstrip('/')
+    mount_norm = mount_path.rstrip('/')
+    if not mount_norm:
+        return '/' + rel_norm if rel_norm else '/'
+    return f"{mount_norm}/{rel_norm}" if rel_norm else mount_norm
+
+
+def _join_rel(base: str, name: str) -> str:
+    if not base:
+        return name.lstrip('/')
+    if not name:
+        return base
+    return f"{base.rstrip('/')}/{name.lstrip('/')}"
+
+
+def _parent_rel(rel: str) -> str:
+    if not rel:
+        return ''
+    if '/' not in rel:
+        return ''
+    return rel.rsplit('/', 1)[0]
 
 
 async def resolve_adapter_by_path(path: str) -> Tuple[StorageAdapter, str]:
@@ -52,6 +89,31 @@ async def resolve_adapter_and_rel(path: str):
     return adapter_instance, adapter_model, effective_root, rel
 
 
+async def maybe_redirect_download(adapter_instance, adapter_model, root: str, rel: str):
+    """若适配器启用了 307 直链，尝试构造重定向响应。"""
+    if not rel or rel.endswith('/'):
+        return None
+
+    config = getattr(adapter_model, "config", {}) or {}
+    if not config.get(DIRECT_REDIRECT_CONFIG_KEY):
+        return None
+
+    handler = getattr(adapter_instance, "get_direct_download_response", None)
+    if not callable(handler):
+        return None
+
+    try:
+        response = await handler(root, rel)
+    except FileNotFoundError:
+        raise
+    except Exception:
+        return None
+
+    if isinstance(response, Response):
+        return response
+    return None
+
+
 async def _ensure_method(adapter: Any, method: str):
     func = getattr(adapter, method, None)
     if not callable(func):
@@ -59,11 +121,29 @@ async def _ensure_method(adapter: Any, method: str):
     return func
 
 
+async def path_is_directory(path: str) -> bool:
+    """判断给定路径是否为目录。"""
+    adapter_instance, _, root, rel = await resolve_adapter_and_rel(path)
+    rel = rel.rstrip('/')
+    if rel == '':
+        return True
+    stat_func = getattr(adapter_instance, "stat_file", None)
+    if not callable(stat_func):
+        raise HTTPException(501, detail="Adapter does not implement stat_file")
+    try:
+        info = await stat_func(root, rel)
+    except FileNotFoundError:
+        raise HTTPException(404, detail="Path not found")
+    if isinstance(info, dict):
+        return bool(info.get("is_dir"))
+    return False
+
+
 async def list_virtual_dir(path: str, page_num: int = 1, page_size: int = 50, sort_by: str = "name", sort_order: str = "asc") -> Dict:
     norm = (path if path.startswith('/') else '/' + path).rstrip('/') or '/'
     adapters = await StorageAdapter.filter(enabled=True)
 
-    child_mount_entries = []
+    child_mount_entries: List[str] = []
     norm_prefix = norm.rstrip('/')
     for a in adapters:
         if a.path == norm:
@@ -74,6 +154,28 @@ async def list_virtual_dir(path: str, page_num: int = 1, page_size: int = 50, so
                 child_mount_entries.append(tail)
     child_mount_entries = sorted(set(child_mount_entries))
 
+    sort_field = sort_by.lower()
+    reverse = sort_order.lower() == "desc"
+
+    def build_sort_key(item: Dict) -> Tuple:
+        key = (not bool(item.get("is_dir")),)
+        if sort_field == "name":
+            key += (str(item.get("name", "")).lower(),)
+        elif sort_field == "size":
+            key += (int(item.get("size", 0)),)
+        elif sort_field == "mtime":
+            key += (int(item.get("mtime", 0)),)
+        else:
+            key += (str(item.get("name", "")).lower(),)
+        return key
+
+    def annotate_entry(entry: Dict) -> None:
+        if not entry.get("is_dir"):
+            name = entry.get("name", "")
+            entry["has_thumbnail"] = bool(is_image_filename(name) or is_video_filename(name))
+        else:
+            entry["has_thumbnail"] = False
+
     try:
         adapter_model, rel = await resolve_adapter_by_path(norm)
         adapter_instance = runtime_registry.get(adapter_model.id)
@@ -93,57 +195,57 @@ async def list_virtual_dir(path: str, page_num: int = 1, page_size: int = 50, so
         effective_root = ''
         rel = ''
 
-    adapter_entries = []
+    adapter_entries_page: List[Dict] = []
+    adapter_entries_for_merge: List[Dict] = []
     adapter_total = 0
     covered = set()
 
     if adapter_model and adapter_instance:
         list_dir = await _ensure_method(adapter_instance, "list_dir")
         try:
-            adapter_entries, adapter_total = await list_dir(effective_root, rel, page_num, page_size, sort_by, sort_order)
+            adapter_entries_page, adapter_total = await list_dir(effective_root, rel, page_num, page_size, sort_by, sort_order)
         except NotADirectoryError:
             raise HTTPException(400, detail="Not a directory")
 
-        for item in adapter_entries:
+        adapter_entries_for_merge = adapter_entries_page
+
+        # 存在挂载节点且适配器结果被分页时，补齐完整列表以便合并排序
+        if child_mount_entries and adapter_total > len(adapter_entries_page):
+            full_page_size = adapter_total
+            if full_page_size > 0:
+                adapter_entries_for_merge, adapter_total = await list_dir(
+                    effective_root, rel, 1, full_page_size, sort_by, sort_order
+                )
+            else:
+                adapter_entries_for_merge = adapter_entries_page
+
+        for item in adapter_entries_for_merge:
             covered.add(item["name"])
 
     mount_entries = []
     for name in child_mount_entries:
         if name not in covered:
             mount_entries.append({"name": name, "is_dir": True,
-                                  "size": 0, "mtime": 0, "type": "mount", "is_image": False})
+                                  "size": 0, "mtime": 0, "type": "mount", "has_thumbnail": False})
 
-    for ent in adapter_entries:
-        if not ent.get('is_dir'):
-            ent['is_image'] = is_image_filename(ent['name'])
-        else:
-            ent['is_image'] = False
-
-    all_entries = adapter_entries + mount_entries
-    
     if mount_entries:
-        reverse = sort_order.lower() == "desc"
-        def get_sort_key(item):
-            key = (not item.get("is_dir"),)
-            sort_field = sort_by.lower()
-            if sort_field == "name":
-                key += (item["name"].lower(),)
-            elif sort_field == "size":
-                key += (item.get("size", 0),)
-            elif sort_field == "mtime":
-                key += (item.get("mtime", 0),)
-            else:
-                key += (item["name"].lower(),)
-            return key
-        all_entries.sort(key=get_sort_key, reverse=reverse)
-        
-        total_entries = adapter_total + len(mount_entries)
+        for ent in adapter_entries_for_merge:
+            annotate_entry(ent)
+        combined_entries = adapter_entries_for_merge + [
+            {**ent, "has_thumbnail": False} for ent in mount_entries
+        ]
+        combined_entries.sort(key=build_sort_key, reverse=reverse)
+
+        total_entries = len(combined_entries)
         start_idx = (page_num - 1) * page_size
         end_idx = start_idx + page_size
-        page_entries = all_entries[start_idx:end_idx]
+        page_entries = combined_entries[start_idx:end_idx]
         return page(page_entries, total_entries, page_num, page_size)
-    
-    return page(adapter_entries, adapter_total, page_num, page_size)
+
+    annotate_entry_list = adapter_entries_page or []
+    for ent in annotate_entry_list:
+        annotate_entry(ent)
+    return page(adapter_entries_page, adapter_total, page_num, page_size)
 
 
 async def read_file(path: str) -> Union[bytes, Any]:
@@ -205,7 +307,12 @@ async def write_file_stream(path: str, data_iter: AsyncIterator[bytes], overwrit
 async def make_dir(path: str):
     adapter_instance, _, root, rel = await resolve_adapter_and_rel(path)
     if not rel:
-        raise HTTPException(400, detail="Cannot create root")
+        await LogService.info(
+            "virtual_fs",
+            f"Ignored create-root request for {path}",
+            details={"path": path, "reason": "root directory already exists"},
+        )
+        return
     mkdir_func = await _ensure_method(adapter_instance, "mkdir")
     await mkdir_func(root, rel)
     await LogService.action("virtual_fs", f"Created directory {path}", details={"path": path})
@@ -221,22 +328,40 @@ async def delete_path(path: str):
     await LogService.action("virtual_fs", f"Deleted {path}", details={"path": path})
 
 
-async def move_path(src: str, dst: str, overwrite: bool = False, return_debug: bool = True):
+async def move_path(
+    src: str,
+    dst: str,
+    overwrite: bool = False,
+    return_debug: bool = True,
+    allow_cross: bool = False,
+):
     adapter_s, adapter_model_s, root_s, rel_s = await resolve_adapter_and_rel(src)
     adapter_d, adapter_model_d, root_d, rel_d = await resolve_adapter_and_rel(dst)
     debug_info = {
         "src": src, "dst": dst,
         "rel_s": rel_s, "rel_d": rel_d,
         "root_s": root_s, "root_d": root_d,
-        "overwrite": overwrite
+        "overwrite": overwrite,
+        "operation": "move",
+        "queued": False,
     }
-    if adapter_model_s.id != adapter_model_d.id:
-        raise HTTPException(400, detail="Cross-adapter move not supported")
     if not rel_s:
         raise HTTPException(400, detail="Cannot move or rename mount root")
     if not rel_d:
         raise HTTPException(400, detail="Invalid destination")
 
+    if adapter_model_s.id != adapter_model_d.id:
+        if not allow_cross:
+            raise HTTPException(400, detail="Cross-adapter move not supported")
+        queue_info = await _enqueue_cross_mount_transfer(
+            operation="move",
+            src=src,
+            dst=dst,
+            overwrite=overwrite,
+        )
+        debug_info.update(queue_info)
+        return debug_info if return_debug else None
+
     exists_func = getattr(adapter_s, "exists", None)
     stat_func = getattr(adapter_s, "stat_path", None)
     delete_func = await _ensure_method(adapter_s, "delete")
@@ -366,7 +491,7 @@ async def rename_path(src: str, dst: str, overwrite: bool = False, return_debug:
 
 
 async def stream_file(path: str, range_header: str | None):
-    adapter_instance, _, root, rel = await resolve_adapter_and_rel(path)
+    adapter_instance, adapter_model, root, rel = await resolve_adapter_and_rel(path)
     if not rel or rel.endswith('/'):
         raise HTTPException(400, detail="Path is a directory")
     if is_raw_filename(rel):
@@ -399,6 +524,10 @@ async def stream_file(path: str, range_header: str | None):
         except Exception as e:
             raise HTTPException(500, detail=f"RAW file processing failed: {e}")
 
+    redirect_response = await maybe_redirect_download(adapter_instance, adapter_model, root, rel)
+    if redirect_response is not None:
+        return redirect_response
+
     stream_impl = getattr(adapter_instance, "stream_file", None)
     if callable(stream_impl):
         return await stream_impl(root, rel, range_header)
@@ -407,30 +536,117 @@ async def stream_file(path: str, range_header: str | None):
     return Response(content=data, media_type=mime or "application/octet-stream")
 
 
+async def _gather_vector_index(full_path: str, limit: int = 20):
+    """查询与文件相关的索引信息。失败时返回 None。"""
+    vector_db = VectorDBService()
+    try:
+        raw_results = await vector_db.search_by_path("vector_collection", full_path, max(limit * 2, 20))
+    except Exception:
+        return None
+
+    matched = []
+    if raw_results:
+        buckets = raw_results if isinstance(raw_results, list) else [raw_results]
+        for bucket in buckets:
+            if not bucket:
+                continue
+            for record in bucket:
+                entity = dict((record or {}).get("entity") or {})
+                source_path = entity.get("source_path") or entity.get("path") or ""
+                if source_path != full_path:
+                    continue
+                entry = {
+                    "chunk_id": str(entity.get("chunk_id")) if entity.get("chunk_id") is not None else None,
+                    "type": entity.get("type"),
+                    "mime": entity.get("mime"),
+                    "name": entity.get("name"),
+                    "start_offset": entity.get("start_offset"),
+                    "end_offset": entity.get("end_offset"),
+                    "vector_id": entity.get("vector_id"),
+                }
+                text = entity.get("text") or entity.get("description")
+                if text:
+                    preview_limit = 400
+                    entry["preview"] = text[:preview_limit]
+                    entry["preview_truncated"] = len(text) > preview_limit
+                matched.append(entry)
+
+    if not matched:
+        return {"total": 0, "entries": [], "by_type": {}, "has_more": False}
+
+    type_counts: Dict[str, int] = {}
+    for item in matched:
+        key = item.get("type") or "unknown"
+        type_counts[key] = type_counts.get(key, 0) + 1
+
+    has_more = len(matched) > limit
+    return {
+        "total": len(matched),
+        "entries": matched[:limit],
+        "by_type": type_counts,
+        "has_more": has_more,
+        "limit": limit,
+    }
+
+
 async def stat_file(path: str):
     adapter_instance, _, root, rel = await resolve_adapter_and_rel(path)
     stat_func = getattr(adapter_instance, "stat_file", None)
     if not callable(stat_func):
         raise HTTPException(501, detail="Adapter does not implement stat_file")
-    return await stat_func(root, rel)
+    info = await stat_func(root, rel)
+
+    if isinstance(info, dict):
+        info.setdefault("path", path)
+        try:
+            is_dir = bool(info.get("is_dir"))
+        except Exception:
+            is_dir = False
+        rel_name = rel.rstrip('/').split('/')[-1] if rel else path.rstrip('/').split('/')[-1]
+        name_hint = str(info.get("name") or rel_name or "")
+        info["has_thumbnail"] = bool(not is_dir and (is_image_filename(name_hint) or is_video_filename(name_hint)))
+        if not is_dir:
+            vector_index = await _gather_vector_index(path)
+            if vector_index is not None:
+                info["vector_index"] = vector_index
+
+    return info
 
 
-async def copy_path(src: str, dst: str, overwrite: bool = False, return_debug: bool = True):
+async def copy_path(
+    src: str,
+    dst: str,
+    overwrite: bool = False,
+    return_debug: bool = True,
+    allow_cross: bool = False,
+):
     adapter_s, adapter_model_s, root_s, rel_s = await resolve_adapter_and_rel(src)
     adapter_d, adapter_model_d, root_d, rel_d = await resolve_adapter_and_rel(dst)
     debug_info = {
         "src": src, "dst": dst,
         "rel_s": rel_s, "rel_d": rel_d,
         "root_s": root_s, "root_d": root_d,
-        "overwrite": overwrite
+        "overwrite": overwrite,
+        "operation": "copy",
+        "queued": False,
     }
-    if adapter_model_s.id != adapter_model_d.id:
-        raise HTTPException(400, detail="Cross-adapter copy not supported")
     if not rel_s:
         raise HTTPException(400, detail="Cannot copy mount root")
     if not rel_d:
         raise HTTPException(400, detail="Invalid destination")
 
+    if adapter_model_s.id != adapter_model_d.id:
+        if not allow_cross:
+            raise HTTPException(400, detail="Cross-adapter copy not supported")
+        queue_info = await _enqueue_cross_mount_transfer(
+            operation="copy",
+            src=src,
+            dst=dst,
+            overwrite=overwrite,
+        )
+        debug_info.update(queue_info)
+        return debug_info if return_debug else None
+
     exists_func = getattr(adapter_s, "exists", None)
     stat_func = getattr(adapter_s, "stat_path", None)
     delete_func = getattr(adapter_s, "delete", None)
@@ -476,28 +692,424 @@ async def copy_path(src: str, dst: str, overwrite: bool = False, return_debug: b
     return debug_info if return_debug else None
 
 
-async def process_file(path: str, processor_type: str, config: dict, save_to: str = None):
-    """
-    使用指定处理器处理文件，并可选择保存到新路径
-    :param path: 源文件路径
-    :param processor_type: 处理器类型
-    :param config: 处理器配置
-    :param save_to: 保存路径（可选），不指定则只返回处理结果
-    :return: 处理后的文件内容或保存结果
-    """
-    data = await read_file(path)
+async def _enqueue_cross_mount_transfer(operation: str, src: str, dst: str, overwrite: bool) -> Dict[str, Any]:
+    if operation not in {"move", "copy"}:
+        raise HTTPException(400, detail="Unsupported transfer operation")
+
+    adapter_s, adapter_model_s, _, _ = await resolve_adapter_and_rel(src)
+    adapter_d, adapter_model_d, root_d, rel_d = await resolve_adapter_and_rel(dst)
+    if adapter_model_s.id == adapter_model_d.id:
+        raise HTTPException(400, detail="Cross-adapter transfer requested but adapters are identical")
+
+    dst_exists = False
+    exists_func = getattr(adapter_d, "exists", None)
+    if callable(exists_func):
+        dst_exists = await exists_func(root_d, rel_d)
+    else:
+        try:
+            await stat_file(dst)
+            dst_exists = True
+        except FileNotFoundError:
+            dst_exists = False
+        except HTTPException as exc:
+            if exc.status_code == 404:
+                dst_exists = False
+            else:
+                raise
+
+    if dst_exists and not overwrite:
+        raise HTTPException(409, detail="Destination already exists")
+
+    payload = {
+        "operation": operation,
+        "src": src,
+        "dst": dst,
+        "overwrite": overwrite,
+    }
+
+    from services.task_queue import task_queue_service
+
+    task = await task_queue_service.add_task("cross_mount_transfer", payload)
+    return {
+        "queued": True,
+        "task_id": task.id,
+        "task_name": "cross_mount_transfer",
+        "dst_exists": dst_exists,
+        "cross_adapter": True,
+    }
+
+
+async def run_cross_mount_transfer_task(task: "Task") -> Dict[str, Any]:
+    from services.task_queue import task_queue_service
+
+    params = task.task_info or {}
+    operation = params.get("operation")
+    src = params.get("src")
+    dst = params.get("dst")
+    overwrite = bool(params.get("overwrite", False))
+
+    if operation not in {"move", "copy"}:
+        raise ValueError(f"Unsupported cross mount operation: {operation}")
+    if not src or not dst:
+        raise ValueError("Missing src or dst for cross mount transfer")
+
+    adapter_s, adapter_model_s, root_s, rel_s = await resolve_adapter_and_rel(src)
+    adapter_d, adapter_model_d, root_d, rel_d = await resolve_adapter_and_rel(dst)
+
+    await task_queue_service.update_meta(task.id, {
+        "operation": operation,
+        "src": src,
+        "dst": dst,
+    })
+
+    if adapter_model_s.id == adapter_model_d.id:
+        if operation == "move":
+            await move_path(src, dst, overwrite=overwrite, return_debug=False, allow_cross=False)
+        else:
+            await copy_path(src, dst, overwrite=overwrite, return_debug=False, allow_cross=False)
+        return {
+            "mode": "direct",
+            "operation": operation,
+            "src": src,
+            "dst": dst,
+            "files": 0,
+            "bytes": 0,
+        }
+
+    if not rel_s:
+        raise ValueError("Cannot transfer mount root")
+    if not rel_d:
+        raise ValueError("Invalid destination")
+
+    dst_exists = False
+    exists_func = getattr(adapter_d, "exists", None)
+    if callable(exists_func):
+        dst_exists = await exists_func(root_d, rel_d)
+    else:
+        try:
+            await stat_file(dst)
+            dst_exists = True
+        except FileNotFoundError:
+            dst_exists = False
+        except HTTPException as exc:
+            if exc.status_code != 404:
+                raise
+
+    if dst_exists and not overwrite:
+        raise ValueError("Destination already exists")
+    if dst_exists and overwrite:
+        await delete_path(dst)
+
+    try:
+        src_stat = await stat_file(src)
+    except HTTPException as exc:
+        if exc.status_code == 404:
+            raise FileNotFoundError(src) from exc
+        raise
+
+    src_is_dir = bool(src_stat.get("is_dir"))
+
+    files_to_transfer: List[Dict[str, Any]] = []
+    dirs_to_create: List[str] = []
+
+    await task_queue_service.update_progress(task.id, {
+        "stage": "preparing",
+        "percent": 0.0,
+        "detail": "Collecting source entries",
+    })
+
+    if src_is_dir:
+        if rel_d:
+            dirs_to_create.append(rel_d)
+        list_dir = await _ensure_method(adapter_s, "list_dir")
+        stack: List[Tuple[str, str, str]] = [(rel_s, rel_d, '')]
+        page_size = 200
+
+        while stack:
+            current_rel, current_dst_rel, current_relative = stack.pop()
+            page = 1
+            while True:
+                entries, total = await list_dir(root_s, current_rel, page, page_size, "name", "asc")
+                if not entries and (total or 0) == 0:
+                    break
+                for entry in entries:
+                    name = entry.get("name")
+                    if not name:
+                        continue
+                    child_rel = _join_rel(current_rel, name)
+                    child_dst_rel = _join_rel(current_dst_rel, name)
+                    child_relative = _join_rel(current_relative, name)
+                    if entry.get("is_dir"):
+                        dirs_to_create.append(child_dst_rel)
+                        stack.append((child_rel, child_dst_rel, child_relative))
+                    else:
+                        files_to_transfer.append({
+                            "src_rel": child_rel,
+                            "dst_rel": child_dst_rel,
+                            "relative_rel": child_relative or name,
+                            "size": entry.get("size"),
+                            "name": name,
+                        })
+                if total is None or page * page_size >= (total or 0):
+                    break
+                page += 1
+    else:
+        relative_rel = rel_s or (src_stat.get("name") or "file")
+        files_to_transfer.append({
+            "src_rel": rel_s,
+            "dst_rel": rel_d,
+            "relative_rel": relative_rel,
+            "size": src_stat.get("size"),
+            "name": src_stat.get("name") or rel_s.split('/')[-1],
+        })
+        parent_dir = _parent_rel(rel_d)
+        if parent_dir:
+            dirs_to_create.append(parent_dir)
+
+    CROSS_TRANSFER_TEMP_ROOT.mkdir(parents=True, exist_ok=True)
+    temp_dir = CROSS_TRANSFER_TEMP_ROOT / task.id
+    temp_dir.mkdir(parents=True, exist_ok=True)
+
+    bytes_downloaded = 0
+    total_dynamic_bytes = sum((f["size"] or 0) for f in files_to_transfer)
+
+    try:
+        for job in files_to_transfer:
+            src_abs = _build_absolute_path(adapter_model_s.path, job["src_rel"])
+            data = await read_file(src_abs)
+            temp_path = temp_dir / job["relative_rel"]
+            temp_path.parent.mkdir(parents=True, exist_ok=True)
+            async with aiofiles.open(temp_path, "wb") as f:
+                await f.write(data)
+            actual_size = len(data)
+            job["temp_path"] = temp_path
+            prev_size = job.get("size") or 0
+            if prev_size <= 0:
+                total_dynamic_bytes += actual_size
+                job_size = actual_size
+            else:
+                job_size = prev_size
+            job["size"] = job_size
+            bytes_downloaded += actual_size
+            percent = None
+            total_for_percent = total_dynamic_bytes if total_dynamic_bytes else bytes_downloaded
+            if total_for_percent:
+                percent = min(100.0, round(bytes_downloaded / total_for_percent * 100, 2))
+            await task_queue_service.update_progress(task.id, {
+                "stage": "downloading",
+                "percent": percent,
+                "bytes_done": bytes_downloaded,
+                "bytes_total": total_dynamic_bytes or None,
+                "detail": f"Downloaded {job['name']}",
+            })
+
+        mkdir_func = await _ensure_method(adapter_d, "mkdir")
+        ensured_dirs: set[str] = set()
+
+        async def ensure_dir(rel_path: str):
+            if not rel_path or rel_path in ensured_dirs:
+                return
+            parent = _parent_rel(rel_path)
+            if parent:
+                await ensure_dir(parent)
+            try:
+                await mkdir_func(root_d, rel_path)
+            except FileExistsError:
+                pass
+            except HTTPException as exc:
+                if exc.status_code not in {409, 400}:
+                    raise
+            except Exception:
+                # Assume directory already exists
+                pass
+            ensured_dirs.add(rel_path)
+
+        for dir_rel in sorted({d for d in dirs_to_create if d}, key=lambda x: x.count('/')):
+            await ensure_dir(dir_rel)
+
+        uploaded_bytes = 0
+        total_bytes = sum((f["size"] or 0) for f in files_to_transfer)
+
+        async def iter_temp_file(path: Path, chunk_size: int = 512 * 1024):
+            async with aiofiles.open(path, "rb") as f:
+                while True:
+                    chunk = await f.read(chunk_size)
+                    if not chunk:
+                        break
+                    yield chunk
+
+        for job in files_to_transfer:
+            parent_dir = _parent_rel(job["dst_rel"])
+            if parent_dir:
+                await ensure_dir(parent_dir)
+            dst_abs = _build_absolute_path(adapter_model_d.path, job["dst_rel"])
+            temp_path: Path = job["temp_path"]
+            await write_file_stream(dst_abs, iter_temp_file(temp_path), overwrite=overwrite)
+            uploaded_bytes += job["size"] or 0
+            percent = None
+            if total_bytes:
+                percent = min(100.0, round(uploaded_bytes / total_bytes * 100, 2))
+            await task_queue_service.update_progress(task.id, {
+                "stage": "uploading",
+                "percent": percent,
+                "bytes_done": uploaded_bytes,
+                "bytes_total": total_bytes or None,
+                "detail": f"Uploaded {job['name']}",
+            })
+
+        if operation == "move":
+            await delete_path(src)
+
+        await task_queue_service.update_progress(task.id, {
+            "stage": "completed",
+            "percent": 100.0,
+            "bytes_done": total_bytes,
+            "bytes_total": total_bytes,
+            "detail": "Completed",
+        })
+
+        await task_queue_service.update_meta(task.id, {
+            "files": len(files_to_transfer),
+            "directories": len({d for d in dirs_to_create if d}),
+            "bytes": total_bytes,
+            "operation": operation,
+        })
+
+        await LogService.action(
+            "virtual_fs",
+            f"Cross-adapter {operation} from {src} to {dst}",
+            details={
+                "src": src,
+                "dst": dst,
+                "operation": operation,
+                "files": len(files_to_transfer),
+                "bytes": total_bytes,
+            },
+        )
+
+        return {
+            "mode": "cross",
+            "operation": operation,
+            "src": src,
+            "dst": dst,
+            "files": len(files_to_transfer),
+            "bytes": total_bytes,
+        }
+
+    finally:
+        try:
+            if temp_dir.exists():
+                shutil.rmtree(temp_dir)
+        except Exception:
+            await LogService.info(
+                "virtual_fs",
+                "Failed to cleanup cross transfer temp dir",
+                details={"task_id": task.id, "temp_dir": str(temp_dir)},
+            )
+async def process_file(
+    path: str,
+    processor_type: str,
+    config: dict,
+    save_to: str | None = None,
+    overwrite: bool = False,
+) -> Any:
+    """处理指定路径（文件或目录）。目录会递归处理其下所有文件。"""
+
     processor = get_processor(processor_type)
     if not processor:
-        raise HTTPException(
-            400, detail=f"Processor {processor_type} not found")
-    result = await processor.process(data, path, config)
-    if save_to and getattr(processor, "produces_file", False):
+        raise HTTPException(400, detail=f"Processor {processor_type} not found")
+
+    actual_is_dir = await path_is_directory(path)
+
+    supported_exts = getattr(processor, "supported_exts", None) or []
+    allowed_exts = {
+        str(ext).lower().lstrip('.')
+        for ext in supported_exts
+        if isinstance(ext, str)
+    }
+
+    def matches_extension(rel_path: str) -> bool:
+        if not allowed_exts:
+            return True
+        if '.' not in rel_path:
+            return '' in allowed_exts
+        ext = rel_path.rsplit('.', 1)[-1].lower()
+        return ext in allowed_exts or f'.{ext}' in allowed_exts
+
+    def coerce_result_bytes(result: Any) -> bytes:
         if isinstance(result, Response):
-            result_bytes = result.body
-        else:
-            result_bytes = result
-        await write_file(save_to, result_bytes)
-        return {"saved_to": save_to}
+            return result.body
+        if isinstance(result, (bytes, bytearray)):
+            return bytes(result)
+        if isinstance(result, str):
+            return result.encode('utf-8')
+        raise HTTPException(500, detail="Processor must return bytes/Response when produces_file=True")
+
+    def build_absolute_path(mount_path: str, rel_path: str) -> str:
+        rel_norm = rel_path.lstrip('/')
+        mount_norm = mount_path.rstrip('/')
+        if not mount_norm:
+            return '/' + rel_norm if rel_norm else '/'
+        return f"{mount_norm}/{rel_norm}" if rel_norm else mount_norm
+
+    if actual_is_dir:
+        if save_to:
+            raise HTTPException(400, detail="Directory processing does not support custom save_to path")
+        if not overwrite:
+            raise HTTPException(400, detail="Directory processing requires overwrite")
+
+        adapter_instance, adapter_model, root, rel = await resolve_adapter_and_rel(path)
+        rel = rel.rstrip('/')
+        list_dir = await _ensure_method(adapter_instance, "list_dir")
+        processed_count = 0
+        stack: List[str] = [rel]
+        page_size = 200
+
+        while stack:
+            current = stack.pop()
+            page = 1
+            while True:
+                entries, total = await list_dir(root, current, page, page_size, "name", "asc")
+                if not entries and (total or 0) == 0:
+                    break
+
+                for entry in entries:
+                    name = entry.get("name")
+                    if not name:
+                        continue
+                    child_rel = f"{current}/{name}" if current else name
+                    if entry.get("is_dir"):
+                        stack.append(child_rel)
+                        continue
+                    if not matches_extension(child_rel):
+                        continue
+                    absolute_path = build_absolute_path(adapter_model.path, child_rel)
+                    data = await read_file(absolute_path)
+                    result = await processor.process(data, absolute_path, config)
+                    if getattr(processor, "produces_file", False):
+                        result_bytes = coerce_result_bytes(result)
+                        await write_file(absolute_path, result_bytes)
+                    processed_count += 1
+
+                if total is None or page * page_size >= total:
+                    break
+                page += 1
+
+        return {"processed_files": processed_count}
+
+    # 单文件处理
+    data = await read_file(path)
+    result = await processor.process(data, path, config)
+
+    target_path = save_to
+    if overwrite and not target_path:
+        target_path = path
+
+    if target_path and getattr(processor, "produces_file", False):
+        result_bytes = coerce_result_bytes(result)
+        await write_file(target_path, result_bytes)
+        return {"saved_to": target_path}
+
     return result
 
 

templates/email/password_reset.html

@@ -0,0 +1,102 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+  <head>
+    <meta charset="utf-8" />
+    <title>Foxel 密码重置</title>
+    <style>
+      body {
+        background: #f4f7fb;
+        font-family: 'Helvetica Neue', Arial, sans-serif;
+        margin: 0;
+        padding: 32px 0;
+        color: #1f2937;
+      }
+      .wrapper {
+        max-width: 560px;
+        margin: 0 auto;
+      }
+      .card {
+        background: #ffffff;
+        border-radius: 16px;
+        box-shadow: 0 12px 40px rgba(15, 23, 42, 0.12);
+        overflow: hidden;
+        border: 1px solid rgba(99, 102, 241, 0.12);
+      }
+      .header {
+        background: linear-gradient(120deg, #4f46e5, #7c3aed);
+        padding: 32px;
+        color: #ffffff;
+      }
+      .header h1 {
+        margin: 0;
+        font-size: 24px;
+        letter-spacing: 0.2px;
+      }
+      .content {
+        padding: 32px;
+      }
+      .content p {
+        margin: 16px 0;
+        line-height: 1.6;
+      }
+      .cta {
+        display: block;
+        margin: 32px 0;
+        text-align: center;
+      }
+      .cta a {
+        display: inline-block;
+        background: linear-gradient(120deg, #6366f1, #8b5cf6);
+        color: #ffffff;
+        text-decoration: none;
+        padding: 14px 32px;
+        border-radius: 999px;
+        font-weight: 600;
+        box-shadow: 0 8px 24px rgba(79, 70, 229, 0.32);
+      }
+      .info-box {
+        background: #f5f3ff;
+        border: 1px solid rgba(107, 114, 128, 0.1);
+        border-radius: 12px;
+        padding: 18px;
+        margin-top: 16px;
+      }
+      .footer {
+        padding: 24px 32px;
+        font-size: 12px;
+        color: #6b7280;
+        line-height: 1.6;
+        background: #fafafa;
+        border-top: 1px solid rgba(15, 23, 42, 0.04);
+      }
+      .footer a {
+        color: #6366f1;
+        text-decoration: none;
+      }
+    </style>
+  </head>
+  <body>
+    <div class="wrapper">
+      <div class="card">
+        <div class="header">
+          <h1>重置你的 Foxel 密码</h1>
+        </div>
+        <div class="content">
+          <p>你好，${username}。</p>
+          <p>我们收到了重置你 Foxel 帐号密码的请求。请点击下方按钮完成密码重置操作：</p>
+          <div class="cta">
+            <a href="${reset_link}" target="_blank" rel="noopener">重置密码</a>
+          </div>
+          <p>如果按钮无法点击，你也可以复制下面的链接到浏览器打开：</p>
+          <div class="info-box">
+            <div style="word-break: break-all;">${reset_link}</div>
+          </div>
+          <p>该链接在 ${expire_minutes} 分钟内有效。若你未发起此请求，请忽略本邮件，你的密码不会发生变化。</p>
+        </div>
+        <div class="footer">
+          <div>此邮件由 Foxel 系统自动发送，请勿直接回复。</div>
+        </div>
+      </div>
+    </div>
+  </body>
+</html>

templates/email/test.html

@@ -0,0 +1,97 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+  <head>
+    <meta charset="utf-8" />
+    <title>Foxel 邮件配置测试</title>
+    <style>
+      body {
+        margin: 0;
+        padding: 32px 0;
+        background: linear-gradient(135deg, #eef2ff, #e0f2fe);
+        font-family: 'Helvetica Neue', Arial, sans-serif;
+        color: #0f172a;
+      }
+      .wrapper {
+        max-width: 560px;
+        margin: 0 auto;
+      }
+      .card {
+        background: #ffffff;
+        border-radius: 18px;
+        overflow: hidden;
+        box-shadow: 0 16px 40px rgba(15, 23, 42, 0.18);
+        border: 1px solid rgba(99, 102, 241, 0.08);
+      }
+      .banner {
+        background: linear-gradient(120deg, #1d4ed8, #6366f1);
+        padding: 36px;
+        color: #ffffff;
+        letter-spacing: 0.2px;
+      }
+      .banner h1 {
+        margin: 0;
+        font-size: 24px;
+      }
+      .content {
+        padding: 32px;
+        line-height: 1.7;
+      }
+      .badge {
+        display: inline-block;
+        padding: 6px 14px;
+        border-radius: 999px;
+        background: rgba(59, 130, 246, 0.12);
+        color: #1d4ed8;
+        font-weight: 600;
+        font-size: 13px;
+        margin-bottom: 16px;
+      }
+      .cta-box {
+        margin-top: 32px;
+        padding: 20px;
+        border-radius: 14px;
+        background: linear-gradient(135deg, rgba(99, 102, 241, 0.08), rgba(14, 165, 233, 0.08));
+        border: 1px solid rgba(99, 102, 241, 0.12);
+      }
+      .cta-box strong {
+        display: block;
+        margin-bottom: 8px;
+        font-size: 16px;
+      }
+      .footer {
+        padding: 24px 32px;
+        background: #f8fafc;
+        font-size: 12px;
+        color: #64748b;
+        border-top: 1px solid rgba(148, 163, 184, 0.18);
+      }
+    </style>
+  </head>
+  <body>
+    <div class="wrapper">
+      <div class="card">
+        <div class="banner">
+          <h1>Foxel 邮件服务已连通</h1>
+        </div>
+        <div class="content">
+          <div class="badge">Mail Delivery Test</div>
+          <p>你好，${username}！</p>
+          <p>
+            这是一封来自 <strong>Foxel</strong> 的测试邮件。如果你能够正常阅读到这段内容，说明系统已经成功与配置的邮箱服务建立连接。
+          </p>
+          <div class="cta-box">
+            <strong>接下来可以做什么？</strong>
+            <ul style="margin: 0; padding-left: 18px; line-height: 1.7;">
+              <li>继续完善系统通知、密码重置等业务功能</li>
+              <li>在后台页面中自定义更精美的邮件模板</li>
+              <li>保持发送凭据安全，避免泄露</li>
+            </ul>
+          </div>
+        </div>
+        <div class="footer">
+          本邮件由 Foxel 系统自动发送，请勿直接回复。如非本人操作，请忽略此邮件。
+        </div>
+      </div>
+    </div>
+  </body>
+</html>

web/public/icon/claude-color.svg

@@ -0,0 +1 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Claude</title><path d="M4.709 15.955l4.72-2.647.08-.23-.08-.128H9.2l-.79-.048-2.698-.073-2.339-.097-2.266-.122-.571-.121L0 11.784l.055-.352.48-.321.686.06 1.52.103 2.278.158 1.652.097 2.449.255h.389l.055-.157-.134-.098-.103-.097-2.358-1.596-2.552-1.688-1.336-.972-.724-.491-.364-.462-.158-1.008.656-.722.881.06.225.061.893.686 1.908 1.476 2.491 1.833.365.304.145-.103.019-.073-.164-.274-1.355-2.446-1.446-2.49-.644-1.032-.17-.619a2.97 2.97 0 01-.104-.729L6.283.134 6.696 0l.996.134.42.364.62 1.414 1.002 2.229 1.555 3.03.456.898.243.832.091.255h.158V9.01l.128-1.706.237-2.095.23-2.695.08-.76.376-.91.747-.492.584.28.48.685-.067.444-.286 1.851-.559 2.903-.364 1.942h.212l.243-.242.985-1.306 1.652-2.064.73-.82.85-.904.547-.431h1.033l.76 1.129-.34 1.166-1.064 1.347-.881 1.142-1.264 1.7-.79 1.36.073.11.188-.02 2.856-.606 1.543-.28 1.841-.315.833.388.091.395-.328.807-1.969.486-2.309.462-3.439.813-.042.03.049.061 1.549.146.662.036h1.622l3.02.225.79.522.474.638-.079.485-1.215.62-1.64-.389-3.829-.91-1.312-.329h-.182v.11l1.093 1.068 2.006 1.81 2.509 2.33.127.578-.322.455-.34-.049-2.205-1.657-.851-.747-1.926-1.62h-.128v.17l.444.649 2.345 3.521.122 1.08-.17.353-.608.213-.668-.122-1.374-1.925-1.415-2.167-1.143-1.943-.14.08-.674 7.254-.316.37-.729.28-.607-.461-.322-.747.322-1.476.389-1.924.315-1.53.286-1.9.17-.632-.012-.042-.14.018-1.434 1.967-2.18 2.945-1.726 1.845-.414.164-.717-.37.067-.662.401-.589 2.388-3.036 1.44-1.882.93-1.086-.006-.158h-.055L4.132 18.56l-1.13.146-.487-.456.061-.746.231-.243 1.908-1.312-.006.006z" fill="#D97757" fill-rule="nonzero"></path></svg>

web/public/icon/deepseek-color.svg

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+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>DeepSeek</title><path d="M23.748 4.482c-.254-.124-.364.113-.512.234-.051.039-.094.09-.137.136-.372.397-.806.657-1.373.626-.829-.046-1.537.214-2.163.848-.133-.782-.575-1.248-1.247-1.548-.352-.156-.708-.311-.955-.65-.172-.241-.219-.51-.305-.774-.055-.16-.11-.323-.293-.35-.2-.031-.278.136-.356.276-.313.572-.434 1.202-.422 1.84.027 1.436.633 2.58 1.838 3.393.137.093.172.187.129.323-.082.28-.18.552-.266.833-.055.179-.137.217-.329.14a5.526 5.526 0 01-1.736-1.18c-.857-.828-1.631-1.742-2.597-2.458a11.365 11.365 0 00-.689-.471c-.985-.957.13-1.743.388-1.836.27-.098.093-.432-.779-.428-.872.004-1.67.295-2.687.684a3.055 3.055 0 01-.465.137 9.597 9.597 0 00-2.883-.102c-1.885.21-3.39 1.102-4.497 2.623C.082 8.606-.231 10.684.152 12.85c.403 2.284 1.569 4.175 3.36 5.653 1.858 1.533 3.997 2.284 6.438 2.14 1.482-.085 3.133-.284 4.994-1.86.47.234.962.327 1.78.397.63.059 1.236-.03 1.705-.128.735-.156.684-.837.419-.961-2.155-1.004-1.682-.595-2.113-.926 1.096-1.296 2.746-2.642 3.392-7.003.05-.347.007-.565 0-.845-.004-.17.035-.237.23-.256a4.173 4.173 0 001.545-.475c1.396-.763 1.96-2.015 2.093-3.517.02-.23-.004-.467-.247-.588zM11.581 18c-2.089-1.642-3.102-2.183-3.52-2.16-.392.024-.321.471-.235.763.09.288.207.486.371.739.114.167.192.416-.113.603-.673.416-1.842-.14-1.897-.167-1.361-.802-2.5-1.86-3.301-3.307-.774-1.393-1.224-2.887-1.298-4.482-.02-.386.093-.522.477-.592a4.696 4.696 0 011.529-.039c2.132.312 3.946 1.265 5.468 2.774.868.86 1.525 1.887 2.202 2.891.72 1.066 1.494 2.082 2.48 2.914.348.292.625.514.891.677-.802.09-2.14.11-3.054-.614zm1-6.44a.306.306 0 01.415-.287.302.302 0 01.2.288.306.306 0 01-.31.307.303.303 0 01-.304-.308zm3.11 1.596c-.2.081-.399.151-.59.16a1.245 1.245 0 01-.798-.254c-.274-.23-.47-.358-.552-.758a1.73 1.73 0 01.016-.588c.07-.327-.008-.537-.239-.727-.187-.156-.426-.199-.688-.199a.559.559 0 01-.254-.078c-.11-.054-.2-.19-.114-.358.028-.054.16-.186.192-.21.356-.202.767-.136 1.146.016.352.144.618.408 1.001.782.391.451.462.576.685.914.176.265.336.537.445.848.067.195-.019.354-.25.452z" fill="#4D6BFE"></path></svg>

web/public/icon/gemini-color.svg

@@ -0,0 +1 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Gemini</title><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="#3186FF"></path><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="url(#lobe-icons-gemini-fill-0)"></path><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="url(#lobe-icons-gemini-fill-1)"></path><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="url(#lobe-icons-gemini-fill-2)"></path><defs><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-gemini-fill-0" x1="7" x2="11" y1="15.5" y2="12"><stop stop-color="#08B962"></stop><stop offset="1" stop-color="#08B962" stop-opacity="0"></stop></linearGradient><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-gemini-fill-1" x1="8" x2="11.5" y1="5.5" y2="11"><stop stop-color="#F94543"></stop><stop offset="1" stop-color="#F94543" stop-opacity="0"></stop></linearGradient><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-gemini-fill-2" x1="3.5" x2="17.5" y1="13.5" y2="12"><stop stop-color="#FABC12"></stop><stop offset=".46" stop-color="#FABC12" stop-opacity="0"></stop></linearGradient></defs></svg>

web/public/icon/openai.svg

@@ -0,0 +1 @@
+<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>OpenAI</title><path d="M21.55 10.004a5.416 5.416 0 00-.478-4.501c-1.217-2.09-3.662-3.166-6.05-2.66A5.59 5.59 0 0010.831 1C8.39.995 6.224 2.546 5.473 4.838A5.553 5.553 0 001.76 7.496a5.487 5.487 0 00.691 6.5 5.416 5.416 0 00.477 4.502c1.217 2.09 3.662 3.165 6.05 2.66A5.586 5.586 0 0013.168 23c2.443.006 4.61-1.546 5.361-3.84a5.553 5.553 0 003.715-2.66 5.488 5.488 0 00-.693-6.497v.001zm-8.381 11.558a4.199 4.199 0 01-2.675-.954c.034-.018.093-.05.132-.074l4.44-2.53a.71.71 0 00.364-.623v-6.176l1.877 1.069c.02.01.033.029.036.05v5.115c-.003 2.274-1.87 4.118-4.174 4.123zM4.192 17.78a4.059 4.059 0 01-.498-2.763c.032.02.09.055.131.078l4.44 2.53c.225.13.504.13.73 0l5.42-3.088v2.138a.068.068 0 01-.027.057L9.9 19.288c-1.999 1.136-4.552.46-5.707-1.51h-.001zM3.023 8.216A4.15 4.15 0 015.198 6.41l-.002.151v5.06a.711.711 0 00.364.624l5.42 3.087-1.876 1.07a.067.067 0 01-.063.005l-4.489-2.559c-1.995-1.14-2.679-3.658-1.53-5.63h.001zm15.417 3.54l-5.42-3.088L14.896 7.6a.067.067 0 01.063-.006l4.489 2.557c1.998 1.14 2.683 3.662 1.529 5.633a4.163 4.163 0 01-2.174 1.807V12.38a.71.71 0 00-.363-.623zm1.867-2.773a6.04 6.04 0 00-.132-.078l-4.44-2.53a.731.731 0 00-.729 0l-5.42 3.088V7.325a.068.068 0 01.027-.057L14.1 4.713c2-1.137 4.555-.46 5.707 1.513.487.833.664 1.809.499 2.757h.001zm-11.741 3.81l-1.877-1.068a.065.065 0 01-.036-.051V6.559c.001-2.277 1.873-4.122 4.181-4.12.976 0 1.92.338 2.671.954-.034.018-.092.05-.131.073l-4.44 2.53a.71.71 0 00-.365.623l-.003 6.173v.002zm1.02-2.168L12 9.25l2.414 1.375v2.75L12 14.75l-2.415-1.375v-2.75z"></path></svg>

web/public/icon/siliconcloud-color.svg

@@ -0,0 +1 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>SiliconCloud</title><path clip-rule="evenodd" d="M22.956 6.521H12.522c-.577 0-1.044.468-1.044 1.044v3.13c0 .577-.466 1.044-1.043 1.044H1.044c-.577 0-1.044.467-1.044 1.044v4.174C0 17.533.467 18 1.044 18h10.434c.577 0 1.044-.467 1.044-1.043v-3.13c0-.578.466-1.044 1.043-1.044h9.391c.577 0 1.044-.467 1.044-1.044V7.565c0-.576-.467-1.044-1.044-1.044z" fill="#6E29F6" fill-rule="evenodd"></path></svg>

web/src/App.tsx

@@ -5,12 +5,10 @@ import { status as getStatus } from './api/config.ts';
 import type { SystemStatus } from './api/config.ts';
 import { SystemContext } from './contexts/SystemContext.tsx';
 import { ThemeProvider } from './contexts/ThemeContext.tsx';
-import { Spin, ConfigProvider } from 'antd';
+import { Spin } from 'antd';
 import { Routes, Route, Navigate } from 'react-router';
 import SetupPage from './pages/SetupPage.tsx';
-import { I18nProvider, useI18n } from './i18n';
-import zhCN from 'antd/locale/zh_CN';
-import enUS from 'antd/locale/en_US';
+import { I18nProvider } from './i18n';
 
 function AppInner() {
   const [status, setStatus] = useState<SystemStatus | null>(null);
@@ -20,9 +18,14 @@ function AppInner() {
         const status = await getStatus();
         setStatus(status);
         document.title = status.title;
-        const favicon = document.querySelector("link[rel*='icon']") as HTMLLinkElement;
+        let favicon = document.querySelector("link[rel*='icon']") as HTMLLinkElement | null;
+        if (!favicon) {
+          favicon = document.createElement('link');
+          favicon.rel = 'icon';
+          document.head.appendChild(favicon);
+        }
         if (favicon) {
-          favicon.href = status.logo;
+          favicon.href = status.favicon || status.logo;
         }
       } catch (error) {
         console.error("Failed to check initialization status:", error);
@@ -39,26 +42,21 @@ function AppInner() {
     );
   }
 
-  const { lang } = useI18n();
-  const locale = lang === 'zh' ? zhCN : enUS;
-
   return (
-    <ConfigProvider locale={locale}>
-      <SystemContext.Provider value={status}>
-        <AuthProvider>
-          <ThemeProvider>
-            {!status.is_initialized ? (
-              <Routes>
-                <Route path="/setup" element={<SetupPage />} />
-                <Route path="*" element={<Navigate to="/setup" replace />} />
-              </Routes>
-            ) : (
-              <AppRouter />
-            )}
-          </ThemeProvider>
-        </AuthProvider>
-      </SystemContext.Provider>
-    </ConfigProvider>
+    <SystemContext.Provider value={status}>
+      <AuthProvider>
+        <ThemeProvider>
+          {!status.is_initialized ? (
+            <Routes>
+              <Route path="/setup" element={<SetupPage />} />
+              <Route path="*" element={<Navigate to="/setup" replace />} />
+            </Routes>
+          ) : (
+            <AppRouter />
+          )}
+        </ThemeProvider>
+      </AuthProvider>
+    </SystemContext.Provider>
   );
 }
 

web/src/api/adapters.ts

@@ -13,7 +13,7 @@ export interface AdapterItem {
 export interface AdapterTypeField {
   key: string;
   label: string;
-  type: 'string' | 'password' | 'number';
+  type: 'string' | 'password' | 'number' | 'boolean';
   required?: boolean;
   placeholder?: string;
   default?: any;

web/src/api/aiProviders.ts

@@ -0,0 +1,89 @@
+import request from './client';
+
+export type AIAbility = 'chat' | 'vision' | 'embedding' | 'rerank' | 'voice' | 'tools';
+
+export interface AIProviderPayload {
+  name: string;
+  identifier: string;
+  provider_type?: string | null;
+  api_format: 'openai' | 'gemini';
+  base_url?: string | null;
+  api_key?: string | null;
+  logo_url?: string | null;
+  extra_config?: Record<string, unknown> | null;
+}
+
+export interface AIProvider extends Omit<AIProviderPayload, 'extra_config'> {
+  id: number;
+  extra_config: Record<string, unknown>;
+  created_at: string;
+  updated_at: string;
+  models?: AIModel[];
+}
+
+export interface AIModelPayload {
+  name: string;
+  display_name?: string | null;
+  description?: string | null;
+  capabilities?: AIAbility[];
+  context_window?: number | null;
+  embedding_dimensions?: number | null;
+  metadata?: Record<string, unknown> | null;
+}
+
+export interface AIModel extends Omit<AIModelPayload, 'metadata'> {
+  id: number;
+  provider_id: number;
+  metadata: Record<string, unknown>;
+  created_at: string;
+  updated_at: string;
+  provider?: AIProvider;
+}
+
+export type AIDefaultAssignments = Partial<Record<AIAbility, number | null>>;
+export type AIDefaultModels = Partial<Record<AIAbility, AIModel | null>>;
+
+export async function fetchProviders() {
+  const data = await request<{ providers: AIProvider[] }>('/ai/providers');
+  return data.providers;
+}
+
+export async function createProvider(payload: AIProviderPayload) {
+  return request<AIProvider>('/ai/providers', { method: 'POST', json: payload });
+}
+
+export async function updateProvider(id: number, payload: Partial<AIProviderPayload>) {
+  return request<AIProvider>(`/ai/providers/${id}`, { method: 'PUT', json: payload });
+}
+
+export async function deleteProvider(id: number) {
+  await request(`/ai/providers/${id}`, { method: 'DELETE' });
+}
+
+export async function syncProviderModels(id: number) {
+  return request<{ created: number; updated: number }>(`/ai/providers/${id}/sync-models`, { method: 'POST' });
+}
+
+export async function fetchRemoteModels(providerId: number) {
+  return request<{ models: AIModelPayload[] }>(`/ai/providers/${providerId}/remote-models`);
+}
+
+export async function createModel(providerId: number, payload: AIModelPayload) {
+  return request<AIModel>(`/ai/providers/${providerId}/models`, { method: 'POST', json: payload });
+}
+
+export async function updateModel(modelId: number, payload: Partial<AIModelPayload>) {
+  return request<AIModel>(`/ai/models/${modelId}`, { method: 'PUT', json: payload });
+}
+
+export async function deleteModel(modelId: number) {
+  await request(`/ai/models/${modelId}`, { method: 'DELETE' });
+}
+
+export async function fetchDefaults() {
+  return request<AIDefaultModels>('/ai/defaults');
+}
+
+export async function updateDefaults(payload: AIDefaultAssignments) {
+  return request<AIDefaultModels>('/ai/defaults', { method: 'PUT', json: payload });
+}

web/src/api/auth.ts

@@ -17,6 +17,30 @@ export interface AuthResponse {
   token_type: string;
 }
 
+export interface MeResponse {
+  id: number;
+  username: string;
+  email?: string | null;
+  full_name?: string | null;
+  gravatar_url: string;
+}
+
+export interface UpdateMePayload {
+  email?: string | null;
+  full_name?: string | null;
+  old_password?: string;
+  new_password?: string;
+}
+
+export interface PasswordResetRequestPayload {
+  email: string;
+}
+
+export interface PasswordResetConfirmPayload {
+  token: string;
+  password: string;
+}
+
 export const authApi = {
   register: async (username: string, password: string, email?: string, full_name?: string): Promise<any> => {
     return request('/auth/register', {
@@ -42,4 +66,30 @@ export const authApi = {
   logout: () => {
     localStorage.removeItem('token');
   },
+  me: async () => {
+    return await request<MeResponse>('/auth/me', {
+      method: 'GET',
+    });
+  },
+  updateMe: async (payload: UpdateMePayload) => {
+    return await request<MeResponse>('/auth/me', {
+      method: 'PUT',
+      json: payload,
+    });
+  },
+  requestPasswordReset: async (payload: PasswordResetRequestPayload) => {
+    return await request('/auth/password-reset/request', {
+      method: 'POST',
+      json: payload,
+    });
+  },
+  verifyPasswordResetToken: async (token: string) => {
+    return await request<{ username: string; email: string }>('/auth/password-reset/verify?token=' + encodeURIComponent(token));
+  },
+  confirmPasswordReset: async (payload: PasswordResetConfirmPayload) => {
+    return await request('/auth/password-reset/confirm', {
+      method: 'POST',
+      json: payload,
+    });
+  },
 };

web/src/api/client.ts

@@ -73,4 +73,5 @@ async function request<T = any>(url: string, options: RequestOptions = {}): Prom
 export { vfsApi, type VfsEntry, type DirListing } from './vfs';
 export { adaptersApi, type AdapterItem, type AdapterTypeField, type AdapterTypeMeta } from './adapters';
 export { shareApi, type ShareInfo, type ShareInfoWithPassword } from './share';
+export { offlineDownloadsApi, type OfflineDownloadTask, type OfflineDownloadCreate, type TaskProgress } from './offlineDownloads';
 export default request;

web/src/api/config.ts

@@ -19,6 +19,7 @@ export interface SystemStatus {
   version: string;
   title: string;
   logo: string;
+  favicon: string;
   is_initialized: boolean;
   app_domain?: string;
   file_domain?: string;

web/src/api/email.ts

@@ -0,0 +1,41 @@
+import request from './client';
+
+export interface EmailTestPayload {
+  to: string;
+  subject: string;
+  template?: string;
+  context?: Record<string, unknown>;
+}
+
+export async function sendTestEmail(payload: EmailTestPayload) {
+  return request<{ task_id: string }>('/email/test', {
+    method: 'POST',
+    json: {
+      template: 'test',
+      context: {},
+      ...payload,
+    },
+  });
+}
+
+export async function listEmailTemplates() {
+  return request<{ templates: string[] }>('/email/templates');
+}
+
+export async function getEmailTemplate(name: string) {
+  return request<{ name: string; content: string }>(`/email/templates/${encodeURIComponent(name)}`);
+}
+
+export async function updateEmailTemplate(name: string, content: string) {
+  return request(`/email/templates/${encodeURIComponent(name)}`, {
+    method: 'POST',
+    json: { content },
+  });
+}
+
+export async function previewEmailTemplate(name: string, context: Record<string, unknown>) {
+  return request<{ html: string }>(`/email/templates/${encodeURIComponent(name)}/preview`, {
+    method: 'POST',
+    json: { context },
+  });
+}

web/src/api/offlineDownloads.ts

@@ -0,0 +1,35 @@
+import request from './client';
+
+export interface TaskProgress {
+  stage?: string | null;
+  percent?: number | null;
+  bytes_total?: number | null;
+  bytes_done?: number | null;
+  detail?: string | null;
+}
+
+export interface OfflineDownloadTask {
+  id: string;
+  name: string;
+  status: 'pending' | 'running' | 'success' | 'failed';
+  result?: any;
+  error?: string | null;
+  task_info: Record<string, any>;
+  progress?: TaskProgress | null;
+  meta?: Record<string, any> | null;
+}
+
+export interface OfflineDownloadCreate {
+  url: string;
+  dest_dir: string;
+  filename: string;
+}
+
+export const offlineDownloadsApi = {
+  create: (payload: OfflineDownloadCreate) => request<{ task_id: string }>('/offline-downloads/', {
+    method: 'POST',
+    json: payload,
+  }),
+  list: () => request<OfflineDownloadTask[]>('/offline-downloads/'),
+  detail: (taskId: string) => request<OfflineDownloadTask>(`/offline-downloads/${taskId}`),
+};

web/src/api/processors.ts

@@ -15,7 +15,8 @@ export interface ProcessorTypeMeta {
   name: string;
   supported_exts: string[];
   config_schema: ProcessorTypeField[];
-  produces_file:boolean;
+  produces_file: boolean;
+  module_path?: string | null;
 }
 
 export const processorsApi = {
@@ -29,11 +30,33 @@ export const processorsApi = {
     save_to?: string;
     overwrite?: boolean;
   }) =>
-    request<any>('/processors/process', {
+    request<{ task_id: string }>('/processors/process', {
+      method: 'POST',
+      json: params,
+    }),
+  processDirectory: (params: {
+    path: string;
+    processor_type: string;
+    config: any;
+    overwrite: boolean;
+    max_depth?: number | null;
+    suffix?: string | null;
+  }) =>
+    request<{ task_ids: string[]; scheduled: number }>('/processors/process-directory', {
+      method: 'POST',
+      json: params,
+    }),
+  getSource: (type: string) =>
+    request<{ source: string; module_path: string }>('/processors/source/' + encodeURIComponent(type), {
+      method: 'GET',
+    }),
+  updateSource: (type: string, source: string) =>
+    request<boolean>('/processors/source/' + encodeURIComponent(type), {
+      method: 'PUT',
+      json: { source },
+    }),
+  reload: () =>
+    request<boolean>('/processors/reload', {
       method: 'POST',
-      body: JSON.stringify(params),
-      headers: {
-        'Content-Type': 'application/json'
-      }
     }),
 };

web/src/api/share.ts

@@ -23,10 +23,15 @@ export interface ShareCreatePayload {
   password?: string;
 }
 
+export interface ClearExpiredResult {
+  deleted_count: number;
+}
+
 export const shareApi = {
   create: (payload: ShareCreatePayload) => request<ShareInfoWithPassword>('/shares', { method: 'POST', json: payload }),
   list: () => request<ShareInfo[]>('/shares'),
   remove: (shareId: number) => request<void>(`/shares/${shareId}`, { method: 'DELETE' }),
+  clearExpired: () => request<ClearExpiredResult>(`/shares/expired`, { method: 'DELETE' }),
   get: (token: string) => request<ShareInfo>(`/s/${token}`),
   verifyPassword: (token: string, password: string) => request<void>(`/s/${token}/verify`, { method: 'POST', json: { password } }),
   listDir: (token: string, path: string = '/', password?: string) => {
@@ -40,4 +45,4 @@ export const shareApi = {
     const url = `${API_BASE_URL}/s/${token}/download?path=${encodeURIComponent(path)}`;
     return password ? `${url}&password=${encodeURIComponent(password)}` : url;
   },
-};
+};

web/src/api/tasks.ts

@@ -1,4 +1,5 @@
 import request from './client';
+import type { TaskProgress } from './offlineDownloads';
 
 export interface AutomationTask {
   id: number;
@@ -21,6 +22,17 @@ export interface QueuedTask {
   result?: any;
   error?: string;
   task_info: Record<string, any>;
+  progress?: TaskProgress | null;
+  meta?: Record<string, any> | null;
+}
+
+export interface TaskQueueSettings {
+  concurrency: number;
+  active_workers: number;
+}
+
+export interface TaskQueueSettingsUpdate {
+  concurrency: number;
 }
 
 export const tasksApi = {
@@ -29,4 +41,6 @@ export const tasksApi = {
   update: (id: number, payload: AutomationTaskUpdate) => request<AutomationTask>(`/tasks/${id}`, { method: 'PUT', json: payload }),
   remove: (id: number) => request<void>(`/tasks/${id}`, { method: 'DELETE' }),
   getQueue: () => request<QueuedTask[]>('/tasks/queue'),
-};
+  getQueueSettings: () => request<TaskQueueSettings>('/tasks/queue/settings'),
+  updateQueueSettings: (payload: TaskQueueSettingsUpdate) => request<TaskQueueSettings>('/tasks/queue/settings', { method: 'POST', json: payload }),
+};

web/src/api/vectorDB.ts

@@ -1,5 +1,65 @@
 import client from './client';
 
+export interface VectorDBIndexInfo {
+  index_name: string;
+  index_type?: string;
+  metric_type?: string;
+  indexed_rows: number;
+  pending_index_rows: number;
+  state?: string;
+}
+
+export interface VectorDBCollectionStats {
+  name: string;
+  row_count: number;
+  dimension: number | null;
+  estimated_memory_bytes: number;
+  is_vector_collection: boolean;
+  indexes: VectorDBIndexInfo[];
+}
+
+export interface VectorDBStats {
+  collections: VectorDBCollectionStats[];
+  collection_count: number;
+  total_vectors: number;
+  estimated_total_memory_bytes: number;
+  db_file_size_bytes: number | null;
+}
+
+export interface VectorDBProviderField {
+  key: string;
+  label: string;
+  type: 'text' | 'password';
+  required?: boolean;
+  default?: string;
+  placeholder?: string;
+}
+
+export interface VectorDBProviderMeta {
+  type: string;
+  label: string;
+  description?: string;
+  enabled: boolean;
+  config_schema: VectorDBProviderField[];
+}
+
+export interface VectorDBCurrentConfig {
+  type: string;
+  config: Record<string, string>;
+  label?: string;
+  enabled?: boolean;
+}
+
+export interface UpdateVectorDBConfigResponse {
+  config: VectorDBCurrentConfig;
+  stats: VectorDBStats;
+}
+
 export const vectorDBApi = {
+  getProviders: () => client<VectorDBProviderMeta[]>('/vector-db/providers', { method: 'GET' }),
+  getConfig: () => client<VectorDBCurrentConfig>('/vector-db/config', { method: 'GET' }),
+  getStats: () => client<VectorDBStats>('/vector-db/stats', { method: 'GET' }),
+  updateConfig: (payload: { type: string; config: Record<string, string> }) =>
+    client<UpdateVectorDBConfigResponse>('/vector-db/config', { method: 'POST', json: payload }),
   clearAll: () => client('/vector-db/clear-all', { method: 'POST' }),
-};
+};

web/src/api/vfs.ts

@@ -6,7 +6,7 @@ export interface VfsEntry {
   size: number;
   mtime: number;
   type?: string; 
-  is_image?: boolean;
+  has_thumbnail?: boolean;
 }
 
 export interface DirListing {
@@ -21,9 +21,29 @@ export interface DirListing {
 }
 
 export interface SearchResultItem {
-  id: number;
+  id: string;
   path: string;
   score: number;
+  chunk_id?: string;
+  snippet?: string;
+  mime?: string;
+  source_type?: string;
+  start_offset?: number;
+  end_offset?: number;
+  metadata?: Record<string, any>;
+}
+
+export interface SearchPagination {
+  page: number;
+  page_size: number;
+  has_more: boolean;
+}
+
+export interface SearchResponse {
+  items: SearchResultItem[];
+  query: string;
+  mode?: string;
+  pagination?: SearchPagination;
 }
 
 export const vfsApi = {
@@ -50,7 +70,18 @@ export const vfsApi = {
   },
   mkdir: (path: string) => request('/fs/mkdir', { method: 'POST', json: { path } }),
   deletePath: (path: string) => request(`/fs/${encodeURI(path.replace(/^\/+/, ''))}`, { method: 'DELETE' }),
-  move: (src: string, dst: string) => request('/fs/move', { method: 'POST', json: { src, dst } }),
+  move: (src: string, dst: string, options?: { overwrite?: boolean }) => {
+    const params = new URLSearchParams();
+    if (options?.overwrite !== undefined) params.set('overwrite', String(options.overwrite));
+    const query = params.toString();
+    return request(`/fs/move${query ? `?${query}` : ''}`, { method: 'POST', json: { src, dst } });
+  },
+  copy: (src: string, dst: string, options?: { overwrite?: boolean }) => {
+    const params = new URLSearchParams();
+    if (options?.overwrite !== undefined) params.set('overwrite', String(options.overwrite));
+    const query = params.toString();
+    return request(`/fs/copy${query ? `?${query}` : ''}`, { method: 'POST', json: { src, dst } });
+  },
   rename: (src: string, dst: string) => request('/fs/rename', { method: 'POST', json: { src, dst } }),
   thumb: (path: string, w=256, h=256, fit='cover') =>
     request<ArrayBuffer>(`/fs/thumb/${encodeURI(path.replace(/^\/+/, ''))}?w=${w}&h=${h}&fit=${fit}`),
@@ -94,6 +125,20 @@ export const vfsApi = {
       xhr.send(fd);
     });
   },
-  searchFiles: (q: string, top_k: number = 10, mode: 'vector' | 'filename' = 'vector') =>
-    request<{ items: SearchResultItem[]; query: string }>(`/search?q=${encodeURIComponent(q)}&top_k=${top_k}&mode=${mode}`),
+  searchFiles: (
+    q: string,
+    top_k: number = 10,
+    mode: 'vector' | 'filename' = 'vector',
+    page?: number,
+    page_size?: number,
+  ) => {
+    const params = new URLSearchParams({
+      q,
+      top_k: String(top_k),
+      mode,
+    });
+    if (page !== undefined) params.set('page', String(page));
+    if (page_size !== undefined) params.set('page_size', String(page_size));
+    return request<SearchResponse>(`/search?${params.toString()}`);
+  },
 };

web/src/apps/AppWindowsLayer.tsx

@@ -1,6 +1,6 @@
 import React, { useRef, useEffect, useCallback } from 'react';
 import { Space, Button } from 'antd';
-import { FullscreenExitOutlined, FullscreenOutlined, CloseOutlined } from '@ant-design/icons';
+import { FullscreenExitOutlined, FullscreenOutlined, CloseOutlined, MinusOutlined } from '@ant-design/icons';
 import type { AppDescriptor, AppComponentProps } from './types';
 import type { VfsEntry } from '../api/client';
 
@@ -10,6 +10,7 @@ export interface AppWindowItem {
   entry: VfsEntry;
   filePath: string;
   maximized: boolean;
+  minimized: boolean;
   x: number;
   y: number;
   width: number;
@@ -187,9 +188,11 @@ export const AppWindowsLayer: React.FC<AppWindowsLayerProps> = ({ windows, onClo
     ));
   };
 
+  const visibleWindows = windows.filter(w => !w.minimized);
+
   return (
     <>
-      {windows.map((w, idx) => {
+      {visibleWindows.map((w, idx) => {
         const AppComp = w.app.component as React.FC<AppComponentProps>;
         const useSystemWindow = w.app.useSystemWindow !== false; // 默认为 true
         if (!useSystemWindow) {
@@ -291,6 +294,21 @@ export const AppWindowsLayer: React.FC<AppWindowsLayerProps> = ({ windows, onClo
                 {w.app.name} - {w.entry.name}
               </span>
               <Space size={4}>
+                <Button
+                  type="text"
+                  size="small"
+                  aria-label="最小化"
+                  icon={<MinusOutlined />}
+                  onClick={() => onUpdateWindow(w.id, { minimized: true })}
+                  style={{
+                    color: 'var(--ant-color-text-secondary, #555)',
+                    width: 30,
+                    height: 30,
+                    display: 'flex',
+                    alignItems: 'center',
+                    justifyContent: 'center'
+                  }}
+                />
                 <Button
                   type="text"
                   size="small"

web/src/apps/ImageViewer/ImageViewer.tsx

@@ -1,394 +1,654 @@
-import React, { useEffect, useRef, useState } from 'react';
-import { vfsApi } from '../../api/client';
+import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import {
+  FileOutlined,
+  DatabaseOutlined,
+  ExpandOutlined,
+  BgColorsOutlined,
+  ClockCircleOutlined,
+  FolderOutlined,
+  AimOutlined,
+  BulbOutlined,
+  ThunderboltOutlined,
+  AlertOutlined,
+  CameraOutlined,
+  ApiOutlined,
+  FieldTimeOutlined,
+} from '@ant-design/icons';
+import { API_BASE_URL, vfsApi, type VfsEntry } from '../../api/client';
 import type { AppComponentProps } from '../types';
-import { Spin, Typography, Button, Tooltip } from 'antd';
-import { ZoomInOutlined, ZoomOutOutlined, ReloadOutlined, CompressOutlined, CloseOutlined, RotateRightOutlined } from '@ant-design/icons';
+import { ImageCanvas } from './components/ImageCanvas';
+import { ViewerControls } from './components/ViewerControls';
+import { Filmstrip } from './components/Filmstrip';
+import { InfoPanel } from './components/InfoPanel';
+import type { HistogramData, RgbColor, InfoItem } from './components/types';
+import { viewerStyles } from './styles';
+
+interface ExplorerSnapshot {
+  path: string;
+  entries: VfsEntry[];
+  pagination?: { page: number; page_size: number; total: number };
+  sortBy?: string;
+  sortOrder?: string;
+  timestamp: number;
+}
+
+interface FileStat {
+  name?: string;
+  is_dir?: boolean;
+  size?: number;
+  mtime?: number;
+  mode?: number;
+  path?: string;
+  type?: string;
+  exif?: Record<string, unknown>;
+}
+
+declare global {
+  interface WindowEventMap {
+    'foxel:file-explorer-page': CustomEvent<ExplorerSnapshot>;
+  }
+}
+type ExplorerAwareWindow = Window & { __FOXEL_LAST_EXPLORER_PAGE__?: ExplorerSnapshot };
+
+const DEFAULT_TONE: RgbColor = { r: 28, g: 32, b: 46 };
+
+const isImageEntry = (ent: VfsEntry) => {
+  if (ent.is_dir) return false;
+  const maybe = ent as VfsEntry & { has_thumbnail?: boolean };
+  if (typeof maybe.has_thumbnail === 'boolean' && maybe.has_thumbnail) return true;
+  const ext = ent.name.split('.').pop()?.toLowerCase();
+  if (!ext) return false;
+  return ['png', 'jpg', 'jpeg', 'gif', 'webp', 'bmp', 'avif', 'ico', 'tif', 'tiff', 'svg', 'heic', 'heif', 'arw', 'cr2', 'cr3', 'nef', 'rw2', 'orf', 'pef', 'dng'].includes(ext);
+};
+
+const buildThumbUrl = (fullPath: string, w = 180, h = 120) => {
+  const base = API_BASE_URL.replace(/\/+$/, '');
+  const clean = fullPath.replace(/^\/+/, '');
+  return `${base}/fs/thumb/${encodeURI(clean)}?w=${w}&h=${h}&fit=cover`;
+};
+
+const getDirectory = (fullPath: string) => {
+  const path = fullPath.startsWith('/') ? fullPath : `/${fullPath}`;
+  const idx = path.lastIndexOf('/');
+  if (idx <= 0) return '/';
+  return path.slice(0, idx) || '/';
+};
+
+const joinPath = (dir: string, name: string) => {
+  if (dir === '/' || dir === '') return `/${name}`;
+  return `${dir.replace(/\/$/, '')}/${name}`;
+};
+
+const clamp = (value: number, min: number, max: number) => Math.max(min, Math.min(max, value));
+
+const parseNumberish = (raw: unknown): number | null => {
+  if (typeof raw === 'number') return raw;
+  if (typeof raw !== 'string') return null;
+  if (raw.includes('/')) {
+    const [a, b] = raw.split('/').map(v => Number(v));
+    if (!Number.isNaN(a) && !Number.isNaN(b) && b !== 0) return a / b;
+  }
+  const val = Number(raw);
+  return Number.isNaN(val) ? null : val;
+};
+
+const humanFileSize = (size: number | undefined) => {
+  if (typeof size !== 'number') return '-';
+  const units = ['B', 'KB', 'MB', 'GB', 'TB'];
+  let value = size;
+  let index = 0;
+  while (value >= 1024 && index < units.length - 1) {
+    value /= 1024;
+    index += 1;
+  }
+  return `${value.toFixed(index === 0 ? 0 : 1)} ${units[index]}`;
+};
+
+const readExplorerSnapshot = (dir: string): ExplorerSnapshot | null => {
+  if (typeof window === 'undefined') return null;
+  const snap = (window as ExplorerAwareWindow).__FOXEL_LAST_EXPLORER_PAGE__;
+  if (!snap) return null;
+  const snapshotPath = snap.path === '' ? '/' : snap.path;
+  const normalizedSnap = snapshotPath.endsWith('/') && snapshotPath !== '/' ? snapshotPath.slice(0, -1) : snapshotPath;
+  const normalizedTarget = dir.endsWith('/') && dir !== '/' ? dir.slice(0, -1) : dir;
+  if (normalizedSnap !== normalizedTarget) return null;
+  return snap;
+};
+
+const formatDateTime = (ts?: number) => {
+  if (!ts) return '-';
+  try {
+    return new Date(ts * 1000).toLocaleString();
+  } catch {
+    return '-';
+  }
+};
+
+const clampChannel = (value: number) => Math.max(0, Math.min(255, value));
+
+const mixColor = (base: RgbColor, target: RgbColor, ratio: number): RgbColor => ({
+  r: clampChannel(base.r * (1 - ratio) + target.r * ratio),
+  g: clampChannel(base.g * (1 - ratio) + target.g * ratio),
+  b: clampChannel(base.b * (1 - ratio) + target.b * ratio),
+});
+
+const rgbToRgba = (color: RgbColor, alpha: number) => `rgba(${Math.round(color.r)}, ${Math.round(color.g)}, ${Math.round(color.b)}, ${alpha})`;
+
+const computeImageStats = (img: HTMLImageElement): { histogram: HistogramData | null; dominantColor: RgbColor | null } => {
+  try {
+    const maxSide = 720;
+    const naturalWidth = img.naturalWidth || 1;
+    const naturalHeight = img.naturalHeight || 1;
+    const ratio = Math.min(1, maxSide / Math.max(naturalWidth, naturalHeight));
+    const width = Math.max(1, Math.floor(naturalWidth * ratio));
+    const height = Math.max(1, Math.floor(naturalHeight * ratio));
+    const canvas = document.createElement('canvas');
+    canvas.width = width;
+    canvas.height = height;
+    const ctx = canvas.getContext('2d', { willReadFrequently: true });
+    if (!ctx) return { histogram: null, dominantColor: null };
+    ctx.drawImage(img, 0, 0, width, height);
+    const { data } = ctx.getImageData(0, 0, width, height);
+    const r = new Array(256).fill(0);
+    const g = new Array(256).fill(0);
+    const b = new Array(256).fill(0);
+    let rTotal = 0;
+    let gTotal = 0;
+    let bTotal = 0;
+    let count = 0;
+    for (let i = 0; i < data.length; i += 4) {
+      r[data[i]] += 1;
+      g[data[i + 1]] += 1;
+      b[data[i + 2]] += 1;
+      rTotal += data[i];
+      gTotal += data[i + 1];
+      bTotal += data[i + 2];
+      count += 1;
+    }
+    const histogram: HistogramData = { r, g, b };
+    if (count === 0) return { histogram, dominantColor: null };
+    const dominantColor: RgbColor = {
+      r: rTotal / count,
+      g: gTotal / count,
+      b: bTotal / count,
+    };
+    return { histogram, dominantColor };
+  } catch {
+    return { histogram: null, dominantColor: null };
+  }
+};
 
 export const ImageViewerApp: React.FC<AppComponentProps> = ({ filePath, entry, onRequestClose }) => {
-  const [url, setUrl] = useState<string>();
+  const normalizedInitialPath = filePath.startsWith('/') ? filePath : `/${filePath}`;
+  const [activeEntry, setActiveEntry] = useState<VfsEntry>(entry);
+  const [activePath, setActivePath] = useState<string>(normalizedInitialPath);
+  const [imageUrl, setImageUrl] = useState<string>();
   const [loading, setLoading] = useState(true);
-  const [err, setErr] = useState<string>();
+  const [error, setError] = useState<string>();
+  const [stat, setStat] = useState<FileStat | null>(null);
+  const [histogram, setHistogram] = useState<HistogramData | null>(null);
+  const [dominantColor, setDominantColor] = useState<RgbColor | null>(null);
   const [scale, setScale] = useState(1);
   const [offset, setOffset] = useState({ x: 0, y: 0 });
-  const [isDragging, setIsDragging] = useState(false);
   const [rotate, setRotate] = useState(0);
-  const imgRef = useRef<HTMLImageElement | null>(null);
+  const [isDragging, setIsDragging] = useState(false);
+  const [filmstrip, setFilmstrip] = useState<VfsEntry[]>([]);
+  const [pageInfo, setPageInfo] = useState<{ page: number; total: number; pageSize: number } | null>(null);
+
   const containerRef = useRef<HTMLDivElement | null>(null);
-  const lastPointer = useRef<{ x: number; y: number } | null>(null);
-  const lastDistance = useRef<number | null>(null);
+  const imageRef = useRef<HTMLImageElement | null>(null);
+  const dragPointRef = useRef<{ x: number; y: number } | null>(null);
+  const pinchDistanceRef = useRef<number | null>(null);
   const transitionRef = useRef(false);
+  const filmstripRefs = useRef<Record<string, HTMLDivElement | null>>({});
+
+  const directory = useMemo(() => getDirectory(activePath), [activePath]);
+
+  const baseTone = useMemo<RgbColor>(() => dominantColor ?? DEFAULT_TONE, [dominantColor]);
+
+  const containerStyle = useMemo(() => {
+    const light = mixColor(baseTone, { r: 255, g: 255, b: 255 }, 0.18);
+    const shadow = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.62);
+    return {
+      ...viewerStyles.container,
+      background: `linear-gradient(135deg, ${rgbToRgba(light, 0.78)} 0%, ${rgbToRgba(baseTone, 0.86)} 48%, ${rgbToRgba(shadow, 0.96)} 100%)`,
+    };
+  }, [baseTone]);
+
+  const mainBackdropStyle = useMemo(() => {
+    const glow = mixColor(baseTone, { r: 255, g: 255, b: 255 }, 0.32);
+    const shade = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.7);
+    return {
+      ...viewerStyles.mainBackdrop,
+      background: `radial-gradient(circle at 18% 22%, ${rgbToRgba(glow, 0.38)}, ${rgbToRgba(shade, 0.94)} 68%)`,
+    };
+  }, [baseTone]);
+
+  const viewerStyle = useMemo(() => {
+    const surface = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.45);
+    const edge = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.65);
+    return {
+      ...viewerStyles.viewer,
+      background: `linear-gradient(145deg, ${rgbToRgba(surface, 0.7)} 0%, ${rgbToRgba(edge, 0.92)} 100%)`,
+      backdropFilter: 'blur(28px)',
+    };
+  }, [baseTone]);
+
+  const controlsStyle = useMemo(() => {
+    const tone = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.52);
+    return {
+      ...viewerStyles.controls,
+      background: rgbToRgba(tone, 0.74),
+      backdropFilter: 'blur(18px)',
+    };
+  }, [baseTone]);
+
+  const filmstripShellStyle = useMemo(() => {
+    const tone = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.56);
+    return {
+      ...viewerStyles.filmstripShell,
+      background: rgbToRgba(tone, 0.7),
+      backdropFilter: 'blur(22px)',
+    };
+  }, [baseTone]);
+
+  const getThumbUrl = useCallback((item: VfsEntry) => {
+    const full = joinPath(directory, item.name);
+    return buildThumbUrl(full, 160, 120);
+  }, [directory]);
+
+  const sidePanelStyle = useMemo(() => {
+    const panel = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.6);
+    const border = rgbToRgba(mixColor(baseTone, { r: 255, g: 255, b: 255 }, 0.1), 0.28);
+    return {
+      ...viewerStyles.sidePanel,
+      background: rgbToRgba(panel, 0.8),
+      backdropFilter: 'blur(28px)',
+      borderLeft: `1px solid ${border}`,
+    };
+  }, [baseTone]);
+
+  const histogramCardStyle = useMemo(() => {
+    const tone = mixColor(baseTone, { r: 0, g: 0, b: 0 }, 0.55);
+    const stroke = rgbToRgba(mixColor(baseTone, { r: 255, g: 255, b: 255 }, 0.12), 0.2);
+    return {
+      ...viewerStyles.histogramCard,
+      background: rgbToRgba(tone, 0.58),
+      border: `1px solid ${stroke}`,
+    };
+  }, [baseTone]);
+
+  useEffect(() => {
+    const normalized = filePath.startsWith('/') ? filePath : `/${filePath}`;
+    setActiveEntry(entry);
+    setActivePath(normalized);
+  }, [entry, filePath]);
 
   useEffect(() => {
     let cancelled = false;
-    setLoading(true); setErr(undefined);
-    vfsApi.getTempLinkToken(filePath.replace(/^\/+/, ''))
-      .then(res => {
+    setLoading(true);
+    setError(undefined);
+    setHistogram(null);
+    setDominantColor(null);
+    const cleaned = activePath.replace(/^\/+/, '');
+    Promise.all([
+      vfsApi.getTempLinkToken(cleaned),
+      vfsApi.stat(activePath) as Promise<FileStat>,
+    ])
+      .then(([token, metadata]) => {
         if (cancelled) return;
-        const publicUrl = vfsApi.getTempPublicUrl(res.token);
-        setUrl(publicUrl);
+        setImageUrl(vfsApi.getTempPublicUrl(token.token));
+        setStat(metadata);
+        setScale(1);
+        setRotate(0);
+        setOffset({ x: 0, y: 0 });
       })
-      .catch(e => !cancelled && setErr(e.message || '加载失败'))
-      .finally(() => !cancelled && setLoading(false));
-    return () => { cancelled = true; };
-  }, [filePath]);
+      .catch((err: unknown) => {
+        if (!cancelled) {
+          setError(err instanceof Error ? err.message : '加载失败');
+        }
+      })
+      .finally(() => {
+        if (!cancelled) setLoading(false);
+      });
+    return () => {
+      cancelled = true;
+    };
+  }, [activePath]);
+
+  const refreshFilmstrip = useCallback((dir: string) => {
+    const snap = readExplorerSnapshot(dir);
+    if (snap) {
+      const images = snap.entries.filter(isImageEntry);
+      const ensured = images.some(item => item.name === activeEntry.name) ? images : [...images, activeEntry];
+      setFilmstrip(ensured);
+      if (snap.pagination) {
+        setPageInfo({
+          page: snap.pagination.page,
+          pageSize: snap.pagination.page_size,
+          total: snap.pagination.total,
+        });
+      } else {
+        setPageInfo(null);
+      }
+      return;
+    }
+    setFilmstrip([activeEntry]);
+    setPageInfo(null);
+  }, [activeEntry]);
 
   useEffect(() => {
+    refreshFilmstrip(directory);
+  }, [directory, refreshFilmstrip]);
+
+  useEffect(() => {
+    const handler = () => refreshFilmstrip(directory);
+    window.addEventListener('foxel:file-explorer-page', handler);
+    return () => window.removeEventListener('foxel:file-explorer-page', handler);
+  }, [directory, refreshFilmstrip]);
+
+  useEffect(() => {
+    const el = filmstripRefs.current[activeEntry.name];
+    if (el) {
+      el.scrollIntoView({ behavior: 'smooth', inline: 'center', block: 'nearest' });
+    }
+  }, [activeEntry, filmstrip]);
+
+  useEffect(() => {
+    const keyHandler = (e: KeyboardEvent) => {
+      if (e.key === 'ArrowRight') {
+        e.preventDefault();
+        switchRelative(1);
+      } else if (e.key === 'ArrowLeft') {
+        e.preventDefault();
+        switchRelative(-1);
+      } else if ((e.key === '+' || e.key === '=') && (e.ctrlKey || e.metaKey)) {
+        e.preventDefault();
+        zoom(1.15);
+      } else if ((e.key === '-' || e.key === '_') && (e.ctrlKey || e.metaKey)) {
+        e.preventDefault();
+        zoom(0.85);
+      }
+    };
+    window.addEventListener('keydown', keyHandler);
+    return () => window.removeEventListener('keydown', keyHandler);
+  });
+
+  const zoom = useCallback((factor: number) => {
+    setScale(prev => {
+      const next = clamp(prev * factor, 0.08, 10);
+      transitionRef.current = true;
+      window.setTimeout(() => { transitionRef.current = false; }, 120);
+      return next;
+    });
+  }, []);
+
+  const rotateImage = () => {
+    setRotate(prev => {
+      transitionRef.current = true;
+      window.setTimeout(() => { transitionRef.current = false; }, 180);
+      return (prev + 90) % 360;
+    });
+  };
+
+  const resetView = () => {
+    transitionRef.current = true;
+    window.setTimeout(() => { transitionRef.current = false; }, 160);
     setScale(1);
     setOffset({ x: 0, y: 0 });
     setRotate(0);
-  }, [url]);
+  };
 
-  const clamp = (v: number, a: number, b: number) => Math.max(a, Math.min(b, v));
-  const applyOffset = (next: { x: number; y: number }) => {
-    setOffset(next);
+  const fitToScreen = () => {
+    resetView();
+  };
+
+  const onWheel = (e: React.WheelEvent) => {
+    e.preventDefault();
+    const container = containerRef.current;
+    if (!container) return;
+    const rect = container.getBoundingClientRect();
+    const cx = e.clientX - rect.left - rect.width / 2;
+    const cy = e.clientY - rect.top - rect.height / 2;
+    setScale(prev => {
+      const factor = e.deltaY < 0 ? 1.12 : 0.88;
+      const next = clamp(prev * factor, 0.08, 10);
+      const ratio = next / prev;
+      setOffset(off => ({ x: off.x - cx * (ratio - 1), y: off.y - cy * (ratio - 1) }));
+      transitionRef.current = true;
+      window.setTimeout(() => { transitionRef.current = false; }, 120);
+      return next;
+    });
   };
 
   const onMouseDown = (e: React.MouseEvent) => {
     if (e.button !== 0) return;
     e.preventDefault();
     setIsDragging(true);
-    lastPointer.current = { x: e.clientX, y: e.clientY };
-    transitionRef.current = false;
+    dragPointRef.current = { x: e.clientX, y: e.clientY };
   };
+
   const onMouseMove = (e: React.MouseEvent) => {
-    if (!isDragging || !lastPointer.current) return;
+    if (!isDragging || !dragPointRef.current) return;
     e.preventDefault();
-    const dx = e.clientX - lastPointer.current.x;
-    const dy = e.clientY - lastPointer.current.y;
-    lastPointer.current = { x: e.clientX, y: e.clientY };
-    applyOffset({ x: offset.x + dx, y: offset.y + dy });
+    const dx = e.clientX - dragPointRef.current.x;
+    const dy = e.clientY - dragPointRef.current.y;
+    dragPointRef.current = { x: e.clientX, y: e.clientY };
+    setOffset(off => ({ x: off.x + dx, y: off.y + dy }));
   };
-  const onMouseUp = () => {
+
+  const stopDragging = () => {
     setIsDragging(false);
-    lastPointer.current = null;
+    dragPointRef.current = null;
+  };
+
+  const dist = (t1: React.Touch, t2: React.Touch) => Math.hypot(t1.clientX - t2.clientX, t1.clientY - t2.clientY);
+
+  const onTouchStart = (e: React.TouchEvent) => {
+    if (e.touches.length === 1) {
+      const t = e.touches[0];
+      dragPointRef.current = { x: t.clientX, y: t.clientY };
+    } else if (e.touches.length === 2) {
+      pinchDistanceRef.current = dist(e.touches[0], e.touches[1]);
+    }
+  };
+
+  const onTouchMove = (e: React.TouchEvent) => {
+    if (e.touches.length === 1 && dragPointRef.current) {
+      const t = e.touches[0];
+      const dx = t.clientX - dragPointRef.current.x;
+      const dy = t.clientY - dragPointRef.current.y;
+      dragPointRef.current = { x: t.clientX, y: t.clientY };
+      setOffset(off => ({ x: off.x + dx, y: off.y + dy }));
+    } else if (e.touches.length === 2 && pinchDistanceRef.current) {
+      const dNow = dist(e.touches[0], e.touches[1]);
+      const ratio = dNow / pinchDistanceRef.current;
+      pinchDistanceRef.current = dNow;
+      setScale(prev => clamp(prev * ratio, 0.08, 10));
+    }
+  };
+
+  const onTouchEnd = () => {
+    pinchDistanceRef.current = null;
+    dragPointRef.current = null;
   };
 
   const onDoubleClick = (e: React.MouseEvent) => {
     e.preventDefault();
-    const cont = containerRef.current;
-    const img = imgRef.current;
-    if (!cont || !img) return;
-    const rect = cont.getBoundingClientRect();
+    const next = scale > 1.4 ? 1 : 2.2;
+    const container = containerRef.current;
+    if (!container) {
+      setScale(next);
+      return;
+    }
+    const rect = container.getBoundingClientRect();
     const cx = e.clientX - rect.left - rect.width / 2;
     const cy = e.clientY - rect.top - rect.height / 2;
-
-    const nextScale = scale > 1.5 ? 1 : 2.5;
-    const ratio = nextScale / scale;
-    const nextOffset = { x: offset.x - cx * (ratio - 1), y: offset.y - cy * (ratio - 1) };
-    setScale(nextScale);
-    transitionRef.current = true;
-    setTimeout(() => transitionRef.current = false, 200);
-    applyOffset(nextOffset);
+    const ratio = next / scale;
+    setScale(next);
+    setOffset(off => ({ x: off.x - cx * (ratio - 1), y: off.y - cy * (ratio - 1) }));
   };
 
-  const onWheel = (e: React.WheelEvent) => {
-    e.preventDefault();
-    const delta = -e.deltaY;
-    const zoomFactor = delta > 0 ? 1.12 : 0.88;
-    const cont = containerRef.current;
-    if (!cont) return;
-    const rect = cont.getBoundingClientRect();
-    const cx = e.clientX - rect.left - rect.width / 2;
-    const cy = e.clientY - rect.top - rect.height / 2;
-
-    const nextScale = clamp(scale * zoomFactor, 0.5, 5);
-    const ratio = nextScale / scale;
-    const nextOffset = { x: offset.x - cx * (ratio - 1), y: offset.y - cy * (ratio - 1) };
-    setScale(nextScale);
-    transitionRef.current = true;
-    setTimeout(() => transitionRef.current = false, 120);
-    applyOffset(nextOffset);
+  const handleImageLoaded = () => {
+    const img = imageRef.current;
+    if (!img) return;
+    const stats = computeImageStats(img);
+    setHistogram(stats.histogram);
+    setDominantColor(stats.dominantColor);
   };
 
-  const getTouchDistance = (t1: { clientX: number; clientY: number }, t2: { clientX: number; clientY: number }) =>
-    Math.hypot(t1.clientX - t2.clientX, t1.clientY - t2.clientY);
-  const onTouchStart = (e: React.TouchEvent) => {
-    if (e.touches.length === 1) {
-      const t = e.touches[0];
-      lastPointer.current = { x: t.clientX, y: t.clientY };
-    } else if (e.touches.length === 2) {
-      lastDistance.current = getTouchDistance(e.touches[0], e.touches[1]);
-    }
-    transitionRef.current = false;
-  };
-  const onTouchMove = (e: React.TouchEvent) => {
-    if (e.touches.length === 1 && lastPointer.current) {
-      const t = e.touches[0];
-      const dx = t.clientX - lastPointer.current.x;
-      const dy = t.clientY - lastPointer.current.y;
-      lastPointer.current = { x: t.clientX, y: t.clientY };
-      applyOffset({ x: offset.x + dx, y: offset.y + dy });
-    } else if (e.touches.length === 2 && lastDistance.current) {
-      const d = getTouchDistance(e.touches[0], e.touches[1]);
-      const ratio = d / lastDistance.current;
-      const nextScale = clamp(scale * ratio, 0.5, 5);
-      setScale(nextScale);
-      lastDistance.current = d;
-    }
-  };
-  const onTouchEnd = (e: React.TouchEvent) => {
-    if (e.touches.length === 0) {
-      lastPointer.current = null;
-      lastDistance.current = null;
-    }
-  };
-  const doZoom = (factor: number) => {
-    const nextScale = clamp(scale * factor, 0.5, 5);
-    setScale(nextScale);
-    transitionRef.current = true;
-    setTimeout(() => transitionRef.current = false, 120);
-    applyOffset(offset);
-  };
-  const resetView = () => {
-    setScale(1);
-    setOffset({ x: 0, y: 0 });
-    setRotate(0);
-    transitionRef.current = true;
-    setTimeout(() => transitionRef.current = false, 150);
-  };
-  const fitToContainer = () => {
-    setScale(1);
-    setOffset({ x: 0, y: 0 });
-    setRotate(0);
-    transitionRef.current = true;
-    setTimeout(() => transitionRef.current = false, 150);
-  };
-  const doRotate = () => {
-    setRotate(r => (r + 90) % 360);
-    transitionRef.current = true;
-    setTimeout(() => transitionRef.current = false, 180);
+  const switchEntry = (target: VfsEntry) => {
+    const nextPath = joinPath(directory, target.name);
+    setActiveEntry(target);
+    setActivePath(nextPath);
   };
 
-  if (loading) {
-    return (
-      <div style={{
-        width: '100%',
-        height: '100%',
-        display: 'flex',
-        alignItems: 'center',
-        justifyContent: 'center',
-        background: 'rgba(20,20,20,0.8)',
-        backdropFilter: 'blur(24px)'
-      }}>
-        <Spin />
-      </div>
-    );
-  }
-  if (err) {
-    return (
-      <div style={{
-        color: 'var(--ant-color-error, #f5222d)',
-        padding: 16,
-        background: 'rgba(20,20,20,0.8)',
-        backdropFilter: 'blur(24px)'
-      }}>
-        加载失败: {err}
-      </div>
-    );
-  }
-  if (!url) {
-    return (
-      <div style={{
-        padding: 16,
-        background: 'rgba(20,20,20,0.8)',
-        backdropFilter: 'blur(24px)'
-      }}>
-        无内容
-      </div>
-    );
-  }
+  const switchRelative = (step: number) => {
+    if (filmstrip.length <= 1) return;
+    const currentIndex = filmstrip.findIndex(item => item.name === activeEntry.name);
+    if (currentIndex === -1) return;
+    const target = filmstrip[(currentIndex + step + filmstrip.length) % filmstrip.length];
+    if (target) switchEntry(target);
+  };
+
+  const scaleLabel = `${(scale * 100).toFixed(scale >= 1 ? 0 : 1)}%`;
+
+  const imageStyle: React.CSSProperties = {
+    maxWidth: '100%',
+    maxHeight: '100%',
+    transform: `translate(${offset.x}px, ${offset.y}px) scale(${scale}) rotate(${rotate}deg)`,
+    transition: transitionRef.current ? 'transform 0.18s cubic-bezier(.4,.8,.4,1)' : undefined,
+    cursor: isDragging ? 'grabbing' : scale > 1 ? 'grab' : 'zoom-in',
+    willChange: 'transform',
+  };
+
+  const controlsNode = (
+    <ViewerControls
+      style={controlsStyle}
+      onPrev={() => switchRelative(-1)}
+      onNext={() => switchRelative(1)}
+      onZoomIn={() => zoom(1.18)}
+      onZoomOut={() => zoom(0.82)}
+      onRotate={rotateImage}
+      onReset={resetView}
+      onFit={fitToScreen}
+      disableSwitch={filmstrip.length <= 1}
+    />
+  );
+
+  const exif = (stat?.exif ?? {}) as Record<string, unknown>;
+  const infoIconStyle: React.CSSProperties = { fontSize: 15, color: 'rgba(255,255,255,0.62)' };
+  const exifValue = (key: string): string | number | null => {
+    const value = exif[key];
+    if (typeof value === 'string' || typeof value === 'number') return value;
+    return null;
+  };
+  const focalLength = (() => {
+    const v = parseNumberish(exifValue('37386') ?? exifValue('37377'));
+    return v ? `${v.toFixed(1)} mm` : null;
+  })();
+  const aperture = (() => {
+    const v = parseNumberish(exifValue('33437') ?? exifValue('37378'));
+    return v ? `f/${v.toFixed(1)}` : null;
+  })();
+  const exposure = (() => {
+    const v = parseNumberish(exifValue('33434'));
+    if (!v) return null;
+    if (v >= 1) return `${v.toFixed(1)} s`;
+    const denom = Math.max(1, Math.round(1 / v));
+    return `1/${denom}`;
+  })();
+  const isoValue = exifValue('34855') ?? exifValue('34864');
+  const width = parseNumberish(exifValue('40962'));
+  const height = parseNumberish(exifValue('40963'));
+  const colorSpace = exifValue('40961');
+  const cameraMake = exifValue('271');
+  const cameraModel = exifValue('272');
+  const lensModel = exifValue('42036');
+  const captureTime = exifValue('36867') ?? exifValue('36868') ?? exifValue('306');
+
+  const basicList: InfoItem[] = [
+    { label: '文件名', value: activeEntry.name, icon: <FileOutlined style={infoIconStyle} /> },
+    { label: '文件大小', value: humanFileSize(stat?.size), icon: <DatabaseOutlined style={infoIconStyle} /> },
+    { label: '分辨率', value: width && height ? `${width} × ${height}` : null, icon: <ExpandOutlined style={infoIconStyle} /> },
+    { label: '颜色空间', value: colorSpace ?? null, icon: <BgColorsOutlined style={infoIconStyle} /> },
+    { label: '修改时间', value: stat?.mtime ? formatDateTime(stat.mtime) : null, icon: <ClockCircleOutlined style={infoIconStyle} /> },
+    { label: '路径', value: typeof stat?.path === 'string' ? stat.path : activePath, icon: <FolderOutlined style={infoIconStyle} /> },
+  ];
+
+  const shootingList: InfoItem[] = [
+    { label: '焦距', value: focalLength, icon: <AimOutlined style={infoIconStyle} /> },
+    { label: '光圈', value: aperture, icon: <BulbOutlined style={infoIconStyle} /> },
+    { label: '快门', value: exposure, icon: <ThunderboltOutlined style={infoIconStyle} /> },
+    { label: 'ISO', value: isoValue != null ? isoValue.toString() : null, icon: <AlertOutlined style={infoIconStyle} /> },
+  ];
+
+  const deviceList: InfoItem[] = [
+    {
+      label: '相机',
+      value: cameraModel ? `${cameraMake ? `${cameraMake} ` : ''}${cameraModel}` : (cameraMake ?? null),
+      icon: <CameraOutlined style={infoIconStyle} />,
+    },
+    { label: '镜头', value: lensModel ?? null, icon: <ApiOutlined style={infoIconStyle} /> },
+  ];
+
+  const miscList: InfoItem[] = [
+    { label: '拍摄时间', value: captureTime, icon: <FieldTimeOutlined style={infoIconStyle} /> },
+  ];
 
   return (
-    <div
-      ref={containerRef}
-      onWheel={onWheel}
-      onMouseMove={onMouseMove}
-      onMouseUp={onMouseUp}
-      onMouseLeave={onMouseUp}
-      onMouseDown={onMouseDown}
-      onDoubleClick={onDoubleClick}
-      onTouchStart={onTouchStart}
-      onTouchMove={onTouchMove}
-      onTouchEnd={onTouchEnd}
-      style={{
-        width: '100%',
-        height: '100%',
-        overflow: 'hidden',
-        position: 'relative',
-        background: 'rgba(20,20,20,0.8)',
-        backdropFilter: 'blur(24px)',
-        display: 'flex',
-        alignItems: 'center',
-        justifyContent: 'center',
-        userSelect: 'none',
-        touchAction: 'none'
-      }}
-    >
-      {/* 顶部栏：文件名和关闭按钮 */}
-      <div style={{
-        position: 'absolute',
-        top: 32,
-        left: 32,
-        right: 32,
-        zIndex: 100,
-        display: 'flex',
-        alignItems: 'center',
-        justifyContent: 'space-between',
-        pointerEvents: 'none'
-      }}>
-        <Typography.Paragraph
-          style={{
-            color: '#fff',
-            margin: 0,
-            fontSize: 15,
-            background: 'rgba(0,0,0,0.32)',
-            padding: '7px 18px',
-            borderRadius: 8,
-            boxShadow: '0 2px 12px rgba(0,0,0,0.18)',
-            backdropFilter: 'blur(2px)',
-            maxWidth: '60vw',
-            textAlign: 'left',
-            pointerEvents: 'auto'
-          }}
-          ellipsis
-        >
-          {entry.name} <span style={{ opacity: 0.7, fontSize: 13 }}>({(entry.size / 1024).toFixed(1)} KB)</span>
-        </Typography.Paragraph>
-        <Tooltip title="关闭">
-          <Button
-            shape="circle"
-            size="large"
-            type="text"
-            onClick={() => onRequestClose && onRequestClose()}
-            icon={<CloseOutlined />}
-            style={{
-              color: '#fff',
-              background: 'rgba(30,30,30,0.55)',
-              boxShadow: '0 2px 12px rgba(0,0,0,0.18)',
-              border: 'none',
-              backdropFilter: 'blur(4px)',
-              pointerEvents: 'auto'
-            }}
+    <div style={containerStyle}>
+      <section style={viewerStyles.main}>
+        <div style={mainBackdropStyle} />
+        <div style={viewerStyles.mainContent}>
+          <ImageCanvas
+            containerRef={containerRef}
+            imageRef={imageRef}
+            viewerStyle={viewerStyle}
+            controls={controlsNode}
+            scaleLabel={scaleLabel}
+            imageStyle={imageStyle}
+            loading={loading}
+            error={error}
+            imageUrl={imageUrl}
+            activeEntry={activeEntry}
+            onRequestClose={onRequestClose}
+            onImageLoad={handleImageLoaded}
+            onWheel={onWheel}
+            onMouseDown={onMouseDown}
+            onMouseMove={onMouseMove}
+            onMouseLeave={stopDragging}
+            onMouseUp={stopDragging}
+            onDoubleClick={onDoubleClick}
+            onTouchStart={onTouchStart}
+            onTouchMove={onTouchMove}
+            onTouchEnd={onTouchEnd}
           />
-        </Tooltip>
-      </div>
 
-      {/* 图片居中显示 */}
-      <div style={{
-        position: 'relative',
-        width: '100%',
-        height: '100%',
-        display: 'flex',
-        alignItems: 'center',
-        justifyContent: 'center',
-        flexDirection: 'column'
-      }}>
-        <img
-          ref={imgRef}
-          src={url}
-          alt={entry.name}
-          draggable={false}
-          onDragStart={e => e.preventDefault()}
-          style={{
-            transform: `translate(${offset.x}px, ${offset.y}px) scale(${scale}) rotate(${rotate}deg)`,
-            transition: transitionRef.current ? 'transform 0.18s cubic-bezier(.4,.8,.4,1)' : undefined,
-            maxWidth: '80vw',
-            maxHeight: '80vh',
-            objectFit: 'contain',
-            borderRadius: 18,
-            boxShadow: '0 8px 40px 0 rgba(0,0,0,0.45)',
-            cursor: isDragging ? 'grabbing' : (scale > 1 ? 'grab' : 'zoom-in'),
-            willChange: 'transform'
-          }}
-        />
-
-        {/* 操作按钮组 */}
-        <div style={{
-          position: 'absolute',
-          bottom: 32,
-          left: '50%',
-          transform: 'translateX(-50%)',
-          display: 'flex',
-          gap: 18,
-          zIndex: 80
-        }}>
-          <Tooltip title="缩小">
-            <Button
-              shape="circle"
-              size="large"
-              icon={<ZoomOutOutlined style={{ fontSize: 22 }} />}
-              onClick={() => doZoom(0.8)}
-              style={{
-                color: '#fff',
-                background: 'rgba(30,30,30,0.55)',
-                boxShadow: '0 2px 12px rgba(0,0,0,0.18)',
-                border: 'none',
-                backdropFilter: 'blur(4px)'
-              }}
-            />
-          </Tooltip>
-          <Tooltip title="放大">
-            <Button
-              shape="circle"
-              size="large"
-              icon={<ZoomInOutlined style={{ fontSize: 22 }} />}
-              onClick={() => doZoom(1.25)}
-              style={{
-                color: '#fff',
-                background: 'rgba(30,30,30,0.55)',
-                boxShadow: '0 2px 12px rgba(0,0,0,0.18)',
-                border: 'none',
-                backdropFilter: 'blur(4px)'
-              }}
-            />
-          </Tooltip>
-          <Tooltip title="旋转">
-            <Button
-              shape="circle"
-              size="large"
-              icon={<RotateRightOutlined style={{ fontSize: 20 }} />}
-              onClick={doRotate}
-              style={{
-                color: '#fff',
-                background: 'rgba(30,30,30,0.55)',
-                boxShadow: '0 2px 12px rgba(0,0,0,0.18)',
-                border: 'none',
-                backdropFilter: 'blur(4px)'
-              }}
-            />
-          </Tooltip>
-          <Tooltip title="重置">
-            <Button
-              shape="circle"
-              size="large"
-              icon={<ReloadOutlined style={{ fontSize: 20 }} />}
-              onClick={resetView}
-              style={{
-                color: '#fff',
-                background: 'rgba(30,30,30,0.55)',
-                boxShadow: '0 2px 12px rgba(0,0,0,0.18)',
-                border: 'none',
-                backdropFilter: 'blur(4px)'
-              }}
-            />
-          </Tooltip>
-          <Tooltip title="适应窗口">
-            <Button
-              shape="circle"
-              size="large"
-              icon={<CompressOutlined style={{ fontSize: 20 }} />}
-              onClick={fitToContainer}
-              style={{
-                color: '#fff',
-                background: 'rgba(30,30,30,0.55)',
-                boxShadow: '0 2px 12px rgba(0,0,0,0.18)',
-                border: 'none',
-                backdropFilter: 'blur(4px)'
-              }}
-            />
-          </Tooltip>
+          <Filmstrip
+            shellStyle={filmstripShellStyle}
+            listStyle={viewerStyles.filmstrip}
+            entries={filmstrip}
+            activeEntry={activeEntry}
+            onSelect={switchEntry}
+            filmstripRefs={filmstripRefs}
+            pageInfo={pageInfo}
+            getThumbUrl={getThumbUrl}
+          />
         </div>
-      </div>
+      </section>
+
+      <InfoPanel
+        style={sidePanelStyle}
+        histogramCardStyle={histogramCardStyle}
+        title={activeEntry.name}
+        captureTime={captureTime ?? null}
+        basicList={basicList}
+        shootingList={shootingList}
+        deviceList={deviceList}
+        miscList={miscList}
+        histogram={histogram}
+      />
     </div>
   );
 };

web/src/apps/ImageViewer/components/Filmstrip.tsx

@@ -0,0 +1,94 @@
+import React from 'react';
+import { Typography } from 'antd';
+import type { VfsEntry } from '../../../api/client';
+
+interface PageInfo {
+  page: number;
+  total: number;
+  pageSize: number;
+}
+
+interface FilmstripProps {
+  shellStyle: React.CSSProperties;
+  listStyle: React.CSSProperties;
+  entries: VfsEntry[];
+  activeEntry: VfsEntry;
+  onSelect: (entry: VfsEntry) => void;
+  filmstripRefs: React.MutableRefObject<Record<string, HTMLDivElement | null>>;
+  pageInfo: PageInfo | null;
+  getThumbUrl: (entry: VfsEntry) => string;
+}
+
+export const Filmstrip: React.FC<FilmstripProps> = ({
+  shellStyle,
+  listStyle,
+  entries,
+  activeEntry,
+  onSelect,
+  filmstripRefs,
+  pageInfo,
+  getThumbUrl,
+}) => (
+  <div style={shellStyle}>
+    <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: 10 }}>
+      <Typography.Text style={{ color: 'rgba(255,255,255,0.72)', fontWeight: 500 }}>
+        胶片带 · {entries.length} 张
+      </Typography.Text>
+      {pageInfo && (
+        <Typography.Text style={{ color: 'rgba(255,255,255,0.45)', fontSize: 12 }}>
+          第 {pageInfo.page} 页 / 共 {Math.max(1, Math.ceil(pageInfo.total / pageInfo.pageSize))} 页
+        </Typography.Text>
+      )}
+    </div>
+    <div style={listStyle}>
+      {entries.map(item => {
+        const active = item.name === activeEntry.name;
+        return (
+          <div
+            key={`${item.name}-${item.mtime ?? ''}`}
+            ref={el => { filmstripRefs.current[item.name] = el; }}
+            onClick={() => onSelect(item)}
+            style={{
+              width: 84,
+              height: 64,
+              overflow: 'hidden',
+              border: active ? '2px solid #4e9bff' : '2px solid transparent',
+              boxShadow: active ? '0 0 0 4px rgba(78,155,255,0.28)' : '0 10px 28px rgba(0,0,0,0.45)',
+              cursor: 'pointer',
+              position: 'relative',
+              flex: '0 0 auto',
+            }}
+          >
+            <img
+              src={getThumbUrl(item)}
+              alt={item.name}
+              style={{ width: '100%', height: '100%', objectFit: 'cover', filter: active ? 'saturate(1)' : 'saturate(0.65)' }}
+            />
+            {active && (
+              <div
+                style={{
+                  position: 'absolute',
+                  bottom: 4,
+                  left: 6,
+                  right: 6,
+                  padding: '2px 4px',
+                  background: 'rgba(0,0,0,0.55)',
+                  color: '#fff',
+                  fontSize: 10,
+                  whiteSpace: 'nowrap',
+                  overflow: 'hidden',
+                  textOverflow: 'ellipsis',
+                }}
+              >
+                {item.name}
+              </div>
+            )}
+          </div>
+        );
+      })}
+      {entries.length === 0 && (
+        <div style={{ color: 'rgba(255,255,255,0.45)' }}>暂无图片</div>
+      )}
+    </div>
+  </div>
+);

web/src/apps/ImageViewer/components/ImageCanvas.tsx

@@ -0,0 +1,99 @@
+import React from 'react';
+import { Spin, Typography, Tooltip, Button } from 'antd';
+import { CloseOutlined } from '@ant-design/icons';
+import type { VfsEntry } from '../../../api/client';
+import { viewerStyles } from '../styles';
+
+interface ImageCanvasProps {
+  containerRef: React.RefObject<HTMLDivElement | null>;
+  imageRef: React.RefObject<HTMLImageElement | null>;
+  viewerStyle: React.CSSProperties;
+  controls: React.ReactNode;
+  scaleLabel: string;
+  imageStyle: React.CSSProperties;
+  loading: boolean;
+  error?: string;
+  imageUrl?: string;
+  activeEntry: VfsEntry;
+  onRequestClose: () => void;
+  onImageLoad: () => void;
+  onWheel: React.WheelEventHandler<HTMLDivElement>;
+  onMouseDown: React.MouseEventHandler<HTMLDivElement>;
+  onMouseMove: React.MouseEventHandler<HTMLDivElement>;
+  onMouseLeave: React.MouseEventHandler<HTMLDivElement>;
+  onMouseUp: React.MouseEventHandler<HTMLDivElement>;
+  onDoubleClick: React.MouseEventHandler<HTMLDivElement>;
+  onTouchStart: React.TouchEventHandler<HTMLDivElement>;
+  onTouchMove: React.TouchEventHandler<HTMLDivElement>;
+  onTouchEnd: React.TouchEventHandler<HTMLDivElement>;
+}
+
+export const ImageCanvas: React.FC<ImageCanvasProps> = ({
+  containerRef,
+  imageRef,
+  viewerStyle,
+  controls,
+  scaleLabel,
+  imageStyle,
+  loading,
+  error,
+  imageUrl,
+  activeEntry,
+  onRequestClose,
+  onImageLoad,
+  onWheel,
+  onMouseDown,
+  onMouseMove,
+  onMouseLeave,
+  onMouseUp,
+  onDoubleClick,
+  onTouchStart,
+  onTouchMove,
+  onTouchEnd,
+}) => (
+  <div
+    ref={containerRef}
+    style={viewerStyle}
+    onWheel={onWheel}
+    onMouseDown={onMouseDown}
+    onMouseMove={onMouseMove}
+    onMouseLeave={onMouseLeave}
+    onMouseUp={onMouseUp}
+    onDoubleClick={onDoubleClick}
+    onTouchStart={onTouchStart}
+    onTouchMove={onTouchMove}
+    onTouchEnd={onTouchEnd}
+  >
+    <div style={viewerStyles.viewerCloseWrap}>
+      <Tooltip title="关闭">
+        <Button
+          type="text"
+          icon={<CloseOutlined />}
+          onClick={onRequestClose}
+          style={viewerStyles.viewerClose}
+        />
+      </Tooltip>
+    </div>
+    {loading ? (
+      <Spin tip="加载中" />
+    ) : error ? (
+      <Typography.Text type="danger">{error}</Typography.Text>
+    ) : imageUrl ? (
+      <img
+        ref={imageRef}
+        src={imageUrl}
+        alt={activeEntry.name}
+        onLoad={onImageLoad}
+        draggable={false}
+        crossOrigin="anonymous"
+        style={imageStyle}
+      />
+    ) : (
+      <Typography.Text>无可用内容</Typography.Text>
+    )}
+
+    <div style={viewerStyles.scaleBadge}>{scaleLabel}</div>
+
+    {controls}
+  </div>
+);

web/src/apps/ImageViewer/components/InfoPanel.tsx

@@ -0,0 +1,116 @@
+import React from 'react';
+import { Typography, Empty } from 'antd';
+import type { HistogramData, InfoItem } from './types';
+
+interface InfoPanelProps {
+  style: React.CSSProperties;
+  histogramCardStyle: React.CSSProperties;
+  title: string;
+  captureTime: string | number | null;
+  basicList: InfoItem[];
+  shootingList: InfoItem[];
+  deviceList: InfoItem[];
+  miscList: InfoItem[];
+  histogram: HistogramData | null;
+}
+
+const SectionTitle: React.FC<{ children: React.ReactNode }> = ({ children }) => (
+  <Typography.Title level={5} style={{ color: '#fff', fontSize: 15, marginTop: 24, marginBottom: 12 }}>
+    {children}
+  </Typography.Title>
+);
+
+const HistogramPlot: React.FC<{ data: HistogramData | null }> = ({ data }) => {
+  if (!data) {
+    return <Empty description="无法解析直方图" image={Empty.PRESENTED_IMAGE_SIMPLE} />;
+  }
+  const width = 260;
+  const height = 140;
+  const max = Math.max(...data.r, ...data.g, ...data.b, 1);
+  const toPath = (arr: number[]) => arr
+    .map((value, index) => {
+      const x = (index / 255) * width;
+      const y = height - (value / max) * height;
+      return `${index === 0 ? 'M' : 'L'}${x.toFixed(2)},${y.toFixed(2)}`;
+    })
+    .join(' ');
+  return (
+    <svg width={width} height={height} viewBox={`0 0 ${width} ${height}`} style={{ width: '100%' }}>
+      <rect x={0} y={0} width={width} height={height} fill="rgba(255,255,255,0.04)" />
+      <path d={toPath(data.r)} stroke="rgba(255,99,132,0.88)" fill="none" strokeWidth={1.3} />
+      <path d={toPath(data.g)} stroke="rgba(75,192,192,0.88)" fill="none" strokeWidth={1.3} />
+      <path d={toPath(data.b)} stroke="rgba(54,162,235,0.88)" fill="none" strokeWidth={1.3} />
+    </svg>
+  );
+};
+
+const InfoRows: React.FC<{ items: InfoItem[] }> = ({ items }) => (
+  <div style={{ display: 'grid', gridTemplateColumns: '100px 1fr', rowGap: 10, columnGap: 12 }}>
+    {items
+      .filter(item => item.value !== null && item.value !== undefined && item.value !== '')
+      .map(item => (
+        <React.Fragment key={item.label}>
+          <span style={{ display: 'inline-flex', alignItems: 'center', gap: 6, color: 'rgba(255,255,255,0.55)' }}>
+            {item.icon && <span style={{ display: 'inline-flex', alignItems: 'center' }}>{item.icon}</span>}
+            <span>{item.label}</span>
+          </span>
+          <span style={{ color: '#fff', wordBreak: 'break-all' }}>{item.value}</span>
+        </React.Fragment>
+      ))}
+  </div>
+);
+
+export const InfoPanel: React.FC<InfoPanelProps> = ({
+  style,
+  histogramCardStyle,
+  title,
+  captureTime,
+  basicList,
+  shootingList,
+  deviceList,
+  miscList,
+  histogram,
+}) => (
+  <aside style={style}>
+    <Typography.Title level={3} style={{ color: '#fff', marginTop: 6, wordBreak: 'break-all' }}>
+      {title}
+    </Typography.Title>
+    {captureTime && (
+      <Typography.Text style={{ color: 'rgba(255,255,255,0.6)' }}>拍摄时间 {captureTime}</Typography.Text>
+    )}
+
+    <SectionTitle>基本信息</SectionTitle>
+    <InfoRows items={basicList} />
+
+    {shootingList.some(i => i.value) && (
+      <>
+        <SectionTitle>拍摄参数</SectionTitle>
+        <InfoRows items={shootingList} />
+      </>
+    )}
+
+    {deviceList.some(i => i.value) && (
+      <>
+        <SectionTitle>设备信息</SectionTitle>
+        <InfoRows items={deviceList} />
+      </>
+    )}
+
+    {miscList.some(i => i.value) && (
+      <>
+        <SectionTitle>其他</SectionTitle>
+        <InfoRows items={miscList} />
+      </>
+    )}
+
+    <SectionTitle>直方图</SectionTitle>
+    <div style={histogramCardStyle}>
+      <HistogramPlot data={histogram} />
+      <div style={{ marginTop: 12, display: 'flex', gap: 12, fontSize: 12 }}>
+        <span style={{ color: 'rgba(255,99,132,0.88)' }}>R</span>
+        <span style={{ color: 'rgba(75,192,192,0.88)' }}>G</span>
+        <span style={{ color: 'rgba(54,162,235,0.88)' }}>B</span>
+      </div>
+    </div>
+  </aside>
+);

web/src/apps/ImageViewer/components/ViewerControls.tsx

@@ -0,0 +1,73 @@
+import React from 'react';
+import { Button, Tooltip } from 'antd';
+import {
+  LeftOutlined,
+  RightOutlined,
+  ZoomInOutlined,
+  ZoomOutOutlined,
+  RotateRightOutlined,
+  ReloadOutlined,
+  CompressOutlined,
+} from '@ant-design/icons';
+
+interface ViewerControlsProps {
+  style: React.CSSProperties;
+  onPrev: () => void;
+  onNext: () => void;
+  onZoomIn: () => void;
+  onZoomOut: () => void;
+  onRotate: () => void;
+  onReset: () => void;
+  onFit: () => void;
+  disableSwitch: boolean;
+}
+
+export const ViewerControls: React.FC<ViewerControlsProps> = ({
+  style,
+  onPrev,
+  onNext,
+  onZoomIn,
+  onZoomOut,
+  onRotate,
+  onReset,
+  onFit,
+  disableSwitch,
+}) => (
+  <div style={style}>
+    <Tooltip title="上一张">
+      <Button
+        shape="circle"
+        type="text"
+        icon={<LeftOutlined />}
+        onClick={onPrev}
+        disabled={disableSwitch}
+        style={{ color: '#fff' }}
+      />
+    </Tooltip>
+    <Tooltip title="缩小">
+      <Button shape="circle" type="text" icon={<ZoomOutOutlined />} onClick={onZoomOut} style={{ color: '#fff' }} />
+    </Tooltip>
+    <Tooltip title="放大">
+      <Button shape="circle" type="text" icon={<ZoomInOutlined />} onClick={onZoomIn} style={{ color: '#fff' }} />
+    </Tooltip>
+    <Tooltip title="旋转 90°">
+      <Button shape="circle" type="text" icon={<RotateRightOutlined />} onClick={onRotate} style={{ color: '#fff' }} />
+    </Tooltip>
+    <Tooltip title="重置">
+      <Button shape="circle" type="text" icon={<ReloadOutlined />} onClick={onReset} style={{ color: '#fff' }} />
+    </Tooltip>
+    <Tooltip title="适应窗口">
+      <Button shape="circle" type="text" icon={<CompressOutlined />} onClick={onFit} style={{ color: '#fff' }} />
+    </Tooltip>
+    <Tooltip title="下一张">
+      <Button
+        shape="circle"
+        type="text"
+        icon={<RightOutlined />}
+        onClick={onNext}
+        disabled={disableSwitch}
+        style={{ color: '#fff' }}
+      />
+    </Tooltip>
+  </div>
+);

web/src/apps/ImageViewer/components/types.ts

@@ -0,0 +1,19 @@
+import type { ReactNode } from 'react';
+
+export interface HistogramData {
+  r: number[];
+  g: number[];
+  b: number[];
+}
+
+export interface RgbColor {
+  r: number;
+  g: number;
+  b: number;
+}
+
+export interface InfoItem {
+  label: string;
+  value: string | number | null;
+  icon?: ReactNode;
+}

web/src/apps/ImageViewer/index.ts

@@ -4,6 +4,7 @@ import { ImageViewerApp } from './ImageViewer.tsx';
 export const descriptor: AppDescriptor = {
   key: 'image-viewer',
   name: '图片查看器',
+  iconUrl: 'https://api.iconify.design/mdi:image.svg',
   supported: (entry) => {
     if (entry.is_dir) return false;
     const ext = entry.name.split('.').pop()?.toLowerCase() || '';
@@ -14,4 +15,4 @@ export const descriptor: AppDescriptor = {
   defaultMaximized:true,
   useSystemWindow:false,
   defaultBounds: { width: 820, height: 620, x: 140, y: 96 }
-};
+};

web/src/apps/ImageViewer/styles.ts

@@ -0,0 +1,106 @@
+export const viewerStyles = {
+  container: {
+    width: '100%',
+    height: '100%',
+    boxSizing: 'border-box' as const,
+    display: 'grid',
+    gridTemplateColumns: 'minmax(0, 1fr) 320px',
+    columnGap: 0,
+    color: '#fff',
+    overflow: 'hidden',
+  },
+  main: {
+    position: 'relative' as const,
+    overflow: 'hidden',
+    display: 'flex',
+    flexDirection: 'column' as const,
+    boxShadow: '0 28px 80px rgba(0,0,0,0.55)',
+    minHeight: 0,
+  },
+  mainBackdrop: {
+    position: 'absolute' as const,
+    inset: 0,
+  },
+  mainContent: {
+    position: 'relative' as const,
+    zIndex: 1,
+    display: 'flex',
+    flexDirection: 'column' as const,
+    flex: 1,
+    padding: 0,
+    minHeight: 0,
+    minWidth: 0,
+  },
+  viewer: {
+    flex: 1,
+    display: 'flex',
+    alignItems: 'center',
+    justifyContent: 'center',
+    position: 'relative' as const,
+    overflow: 'hidden',
+    boxShadow: '0 24px 60px rgba(0,0,0,0.5)',
+    touchAction: 'none' as const,
+    minHeight: 0,
+  },
+  controls: {
+    position: 'absolute' as const,
+    bottom: 16,
+    left: '50%',
+    transform: 'translateX(-50%)',
+    display: 'flex',
+    gap: 16,
+    padding: '8px 18px',
+    borderRadius: 24,
+    alignItems: 'center',
+  },
+  scaleBadge: {
+    position: 'absolute' as const,
+    bottom: 64,
+    left: 16,
+    color: 'rgba(255,255,255,0.7)',
+    fontSize: 12,
+    letterSpacing: 0.2,
+  },
+  filmstripShell: {
+    marginTop: 0,
+    padding: '3px 12px',
+    boxShadow: '0 16px 42px rgba(0,0,0,0.52)',
+  },
+  filmstrip: {
+    display: 'flex',
+    overflowX: 'auto' as const,
+    gap: 12,
+    paddingBottom: 4,
+  },
+  sidePanel: {
+    boxShadow: '0 28px 80px rgba(0,0,0,0.55)',
+    padding: '20px 24px',
+    display: 'flex',
+    flexDirection: 'column' as const,
+    overflowY: 'auto' as const,
+    minHeight: 0,
+  },
+  histogramCard: {
+    padding: '12px 12px 18px',
+    background: 'rgba(0,0,0,0.34)',
+    borderRadius: 0,
+  },
+  viewerCloseWrap: {
+    position: 'absolute' as const,
+    top: 16,
+    right: 16,
+    zIndex: 2,
+  },
+  viewerClose: {
+    color: '#fff',
+    background: 'rgba(0,0,0,0.4)',
+    border: '1px solid rgba(255,255,255,0.25)',
+    boxShadow: '0 8px 18px rgba(0,0,0,0.45)',
+    borderRadius: '100%',
+    width: 32,
+    height: 32,
+    display: 'flex',
+    alignItems: 'center',
+    justifyContent: 'center',
+  },
+};

web/src/apps/OfficeViewer/index.ts

@@ -4,6 +4,7 @@ import { OfficeViewerApp } from './OfficeViewer.tsx';
 export const descriptor: AppDescriptor = {
   key: 'office-viewer',
   name: 'Office 文档查看器',
+  iconUrl: 'https://api.iconify.design/mdi:file-word-box.svg',
   supported: (entry) => {
     if (entry.is_dir) return false;
     const ext = entry.name.split('.').pop()?.toLowerCase() || '';
@@ -12,4 +13,4 @@ export const descriptor: AppDescriptor = {
   component: OfficeViewerApp,
   default: true,
   defaultBounds: { width: 1024, height: 768, x: 150, y: 100 }
-};
+};

web/src/apps/PdfViewer/index.ts

@@ -4,6 +4,7 @@ import { PdfViewerApp } from './PdfViewer';
 export const descriptor: AppDescriptor = {
   key: 'pdf-viewer',
   name: 'PDF 查看器',
+  iconUrl: 'https://api.iconify.design/mdi:file-pdf-box.svg',
   supported: (entry) => {
     if (entry.is_dir) return false;
     const ext = entry.name.split('.').pop()?.toLowerCase() || '';
@@ -13,4 +14,3 @@ export const descriptor: AppDescriptor = {
   default: true,
   defaultBounds: { width: 1024, height: 768, x: 160, y: 100 },
 };
-

web/src/apps/TextEditor/TextEditor.tsx

@@ -1,11 +1,12 @@
-import React, { useState, useEffect, useCallback, useRef, useMemo } from 'react';
+import React, { useState, useEffect, useCallback, useRef, useMemo, Suspense } from 'react';
 import { Layout, Spin, Button, Space, message } from 'antd';
-import MDEditor from '@uiw/react-md-editor';
-import Editor from '@monaco-editor/react';
 import type { AppComponentProps } from '../types';
 import { vfsApi } from '../../api/vfs';
 import request from '../../api/client';
 
+const MonacoEditor = React.lazy(() => import('@monaco-editor/react'));
+const MarkdownEditor = React.lazy(() => import('@uiw/react-md-editor'));
+
 const { Header, Content } = Layout;
 
 export const TextEditorApp: React.FC<AppComponentProps> = ({ filePath, entry, onRequestClose }) => {
@@ -23,27 +24,124 @@ export const TextEditorApp: React.FC<AppComponentProps> = ({ filePath, entry, on
   const isMarkdown = ext === 'md' || ext === 'markdown';
   const monacoLanguage = useMemo(() => {
     switch (ext) {
-      case 'json':
-        return 'json';
+      // Web technologies
       case 'js':
+      case 'jsx':
         return 'javascript';
       case 'ts':
+      case 'tsx':
         return 'typescript';
       case 'html':
+      case 'htm':
         return 'html';
       case 'css':
         return 'css';
-      case 'py':
-        return 'python';
-      case 'sh':
-        return 'shell';
+      case 'scss':
+      case 'sass':
+        return 'scss';
+      case 'less':
+        return 'less';
+      case 'vue':
+        return 'html'; // Vue files are primarily HTML with some JS/TS
+      
+      // Data formats
+      case 'json':
+        return 'json';
       case 'yaml':
       case 'yml':
         return 'yaml';
       case 'xml':
         return 'xml';
+      case 'toml':
+        return 'ini'; // TOML is similar to INI
+      case 'ini':
+      case 'cfg':
+      case 'conf':
+        return 'ini';
+      
+      // Programming languages
+      case 'py':
+        return 'python';
+      case 'java':
+        return 'java';
+      case 'c':
+        return 'c';
+      case 'cpp':
+      case 'cc':
+      case 'cxx':
+        return 'cpp';
+      case 'h':
+      case 'hpp':
+      case 'hxx':
+        return 'cpp'; // Header files use C++ highlighting
+      case 'php':
+        return 'php';
+      case 'rb':
+        return 'ruby';
+      case 'go':
+        return 'go';
+      case 'rs':
+        return 'rust';
+      case 'swift':
+        return 'swift';
+      case 'kt':
+        return 'kotlin';
+      case 'scala':
+        return 'scala';
+      case 'cs':
+        return 'csharp';
+      case 'fs':
+        return 'fsharp';
+      case 'vb':
+        return 'vb';
+      case 'pl':
+      case 'pm':
+        return 'perl';
+      case 'r':
+        return 'r';
+      case 'lua':
+        return 'lua';
+      case 'dart':
+        return 'dart';
+      
+      // Database
+      case 'sql':
+        return 'sql';
+      
+      // Shell and scripts
+      case 'sh':
+      case 'bash':
+      case 'zsh':
+      case 'fish':
+        return 'shell';
+      case 'ps1':
+        return 'powershell';
+      case 'bat':
+      case 'cmd':
+        return 'bat';
+      
+      // Build and config files
+      case 'dockerfile':
+        return 'dockerfile';
+      case 'makefile':
+        return 'makefile';
+      case 'gradle':
+        return 'groovy';
+      case 'cmake':
+        return 'cmake';
+      
+      // Markdown
+      case 'md':
+      case 'markdown':
+        return 'markdown';
+      
+      // Plain text and logs
       case 'txt':
       case 'log':
+      case 'gitignore':
+      case 'gitattributes':
+      case 'editorconfig':
+      case 'prettierrc':
       default:
         return 'plaintext';
     }
@@ -143,26 +241,30 @@ export const TextEditorApp: React.FC<AppComponentProps> = ({ filePath, entry, on
           </div>
         ) : (
           isMarkdown ? (
-            <MDEditor
-              value={content}
-              onChange={(val) => setContent(val || '')}
-              height="100%"
-              preview={truncated ? 'preview' : 'live'}
-            />
+            <Suspense fallback={<Spin style={{ marginTop: 24 }} />}>
+              <MarkdownEditor
+                value={content}
+                onChange={(val) => setContent(val || '')}
+                height="100%"
+                preview={truncated ? 'preview' : 'live'}
+              />
+            </Suspense>
           ) : (
-            <Editor
-              value={content}
-              onChange={(val) => setContent(val || '')}
-              height="100%"
-              language={monacoLanguage}
-              options={{
-                readOnly: truncated,
-                minimap: { enabled: false },
-                scrollBeyondLastLine: false,
-                wordWrap: 'on',
-                fontSize: 13,
-              }}
-            />
+            <Suspense fallback={<Spin style={{ marginTop: 24 }} />}>
+              <MonacoEditor
+                value={content}
+                onChange={(val) => setContent(val || '')}
+                height="100%"
+                language={monacoLanguage}
+                options={{
+                  readOnly: truncated,
+                  minimap: { enabled: false },
+                  scrollBeyondLastLine: false,
+                  wordWrap: 'on',
+                  fontSize: 13,
+                }}
+              />
+            </Suspense>
           )
         )}
       </Content>

web/src/apps/TextEditor/index.ts

@@ -4,13 +4,33 @@ import { TextEditorApp } from './TextEditor.tsx';
 export const descriptor: AppDescriptor = {
   key: 'text-editor',
   name: '文本编辑器',
+  iconUrl: 'https://api.iconify.design/mdi:file-document-outline.svg',
   supported: (entry) => {
     if (entry.is_dir) return false;
     const ext = entry.name.split('.').pop()?.toLowerCase() || '';
-    // Supports common text and markdown formats
-    return ['txt', 'md', 'markdown', 'json', 'yaml', 'yml', 'xml', 'html', 'css', 'js', 'ts', 'py', 'sh', 'log'].includes(ext);
+    // Supports common text and code formats
+    return [
+      // Text formats
+      'txt', 'md', 'markdown', 'log',
+      // Data formats
+      'json', 'yaml', 'yml', 'xml', 'toml', 'ini', 'cfg', 'conf',
+      // Web technologies
+      'html', 'htm', 'css', 'scss', 'sass', 'less', 'js', 'jsx', 'ts', 'tsx', 'vue',
+      // Programming languages
+      'py', 'java', 'c', 'cpp', 'cc', 'cxx', 'h', 'hpp', 'hxx',
+      'php', 'rb', 'go', 'rs', 'swift', 'kt', 'scala', 'clj', 'cljs',
+      'cs', 'vb', 'fs', 'pl', 'pm', 'r', 'lua', 'dart', 'elm',
+      // Database
+      'sql',
+      // Shell and scripts
+      'sh', 'bash', 'zsh', 'fish', 'ps1', 'bat', 'cmd',
+      // Build and config files
+      'dockerfile', 'makefile', 'gradle', 'cmake',
+      // Other common text files
+      'gitignore', 'gitattributes', 'editorconfig', 'prettierrc'
+    ].includes(ext);
   },
   component: TextEditorApp,
   default: true,
   defaultBounds: { width: 1024, height: 768, x: 120, y: 80 }
-};
+};

web/src/apps/VideoPlayer/index.ts

@@ -4,6 +4,7 @@ import { VideoPlayerApp } from './VideoPlayer.tsx';
 export const descriptor: AppDescriptor = {
   key: 'video-player',
   name: '视频播放器',
+  iconUrl: 'https://api.iconify.design/mdi:video.svg',
   supported: (entry) => {
     if (entry.is_dir) return false;
     const ext = entry.name.split('.').pop()?.toLowerCase() || '';
@@ -12,4 +13,4 @@ export const descriptor: AppDescriptor = {
   component: VideoPlayerApp,
   default: true,
   defaultBounds: { width: 960, height: 600, x: 180, y: 120 }
-};
+};

web/src/apps/registry.ts

@@ -39,6 +39,7 @@ function registerPluginAsApp(p: PluginItem) {
     name: p.name || `插件 ${p.id}`,
     supported,
     component: (props: any) => React.createElement(PluginAppHost, { plugin: p, ...props }),
+    iconUrl: p.icon || undefined,
     default: false,
     defaultBounds: p.default_bounds || undefined,
     defaultMaximized: p.default_maximized || undefined,
@@ -88,6 +89,7 @@ export async function reloadPluginApps() {
         existing.name = p.name || `插件 ${p.id}`;
         existing.defaultBounds = p.default_bounds || undefined;
         existing.defaultMaximized = p.default_maximized || undefined;
+        existing.iconUrl = p.icon || existing.iconUrl;
       }
     });
   } catch { }

web/src/apps/types.ts

@@ -11,6 +11,7 @@ export interface AppDescriptor {
   name: string;
   supported: (entry: VfsEntry) => boolean;
   component: React.ComponentType<AppComponentProps>;
+  iconUrl?: string;
   default?: boolean;
   defaultMaximized?: boolean;
   /**

web/src/components/PathSelectorModal.tsx

@@ -0,0 +1,143 @@
+import { memo, useEffect, useMemo, useState } from 'react';
+import { Modal, Button, List, Typography, Space, Input, message } from 'antd';
+import { FolderOutlined, ArrowUpOutlined } from '@ant-design/icons';
+import { useI18n } from '../i18n';
+import { vfsApi, type VfsEntry } from '../api/client';
+import { getFileIcon } from '../pages/FileExplorerPage/components/FileIcons';
+
+export type PathSelectorMode = 'directory' | 'file' | 'any';
+
+interface PathSelectorModalProps {
+  open: boolean;
+  mode?: PathSelectorMode;
+  initialPath?: string;
+  onOk: (path: string) => void;
+  onCancel: () => void;
+}
+
+function normalizePath(p: string): string {
+  if (!p) return '/';
+  const s = ('/' + p).replace(/\/+/, '/');
+  return s.replace(/\\/g, '/').replace(/\/+$/, '') || '/';
+}
+
+function joinPath(dir: string, name: string): string {
+  const base = normalizePath(dir);
+  if (base === '/') return `/${name}`;
+  return `${base}/${name}`.replace(/\/+/, '/');
+}
+
+const PathSelectorModal = memo(function PathSelectorModal({ open, mode = 'directory', initialPath = '/', onOk, onCancel }: PathSelectorModalProps) {
+  const { t } = useI18n();
+  const [path, setPath] = useState<string>(normalizePath(initialPath));
+  const [entries, setEntries] = useState<VfsEntry[]>([]);
+  const [loading, setLoading] = useState(false);
+  const [selected, setSelected] = useState<string | null>(null); // selected file name within current folder
+
+  const title = useMemo(() => {
+    if (mode === 'file') return t('Select File');
+    if (mode === 'any') return t('Select Path');
+    return t('Select Folder');
+  }, [mode, t]);
+
+  const load = async (p: string) => {
+    setLoading(true);
+    try {
+      const listing = await vfsApi.list(p, 1, 500, 'name', 'asc');
+      setEntries(listing.entries);
+      setPath(listing.path || p);
+      setSelected(null);
+    } catch (e: any) {
+      message.error(e.message || t('Load failed'));
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  useEffect(() => {
+    if (open) {
+      load(normalizePath(initialPath));
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [open, initialPath]);
+
+  const canOk = useMemo(() => {
+    if (mode === 'file') return !!selected;
+    return true;
+  }, [mode, selected]);
+
+  const handleOk = () => {
+    if (mode === 'directory') {
+      onOk(normalizePath(path));
+      return;
+    }
+    if (mode === 'file') {
+      if (!selected) {
+        message.warning(t('Please select a file'));
+        return;
+      }
+      onOk(joinPath(path, selected));
+      return;
+    }
+    // any
+    if (selected) onOk(joinPath(path, selected));
+    else onOk(normalizePath(path));
+  };
+
+  const goUp = () => {
+    const cur = normalizePath(path);
+    if (cur === '/') return;
+    const parent = cur.replace(/\/+$/, '').split('/').slice(0, -1).join('/') || '/';
+    load(parent);
+  };
+
+  return (
+    <Modal
+      title={title}
+      open={open}
+      onCancel={onCancel}
+      onOk={handleOk}
+      okButtonProps={{ disabled: !canOk }}
+      width={720}
+    >
+      <Space style={{ width: '100%', marginBottom: 12 }} align="center">
+        <Typography.Text type="secondary">{t('Current')}</Typography.Text>
+        <Input value={path} readOnly />
+        <Button onClick={goUp} icon={<ArrowUpOutlined />} disabled={path === '/'}>{t('Up')}</Button>
+        {mode !== 'file' && (
+          <Button type="primary" onClick={() => onOk(normalizePath(path))}>{t('Select Current Folder')}</Button>
+        )}
+      </Space>
+
+      <List
+        bordered
+        loading={loading}
+        dataSource={entries}
+        style={{ maxHeight: 420, overflow: 'auto' }}
+        renderItem={(item) => {
+          const isSelected = selected === item.name && !item.is_dir;
+          return (
+            <List.Item
+              onClick={() => {
+                if (item.is_dir) {
+                  load(joinPath(path, item.name));
+                } else {
+                  setSelected((prev) => (prev === item.name ? null : item.name));
+                }
+              }}
+              style={{ cursor: 'pointer', background: isSelected ? 'rgba(22,119,255,0.08)' : undefined }}
+            >
+              <Space>
+                {item.is_dir ? <FolderOutlined /> : getFileIcon(item.name)}
+                <Typography.Text strong={item.is_dir}>{item.name}</Typography.Text>
+              </Space>
+            </List.Item>
+          );
+        }}
+      />
+    </Modal>
+  );
+});
+
+export default PathSelectorModal;
+

web/src/components/ProfileModal.tsx

@@ -0,0 +1,122 @@
+import { memo, useEffect, useState } from 'react';
+import { Modal, Form, Input, message, Collapse } from 'antd';
+import { useAuth } from '../contexts/AuthContext';
+import { authApi } from '../api/auth';
+import { useI18n } from '../i18n';
+
+export interface ProfileModalProps {
+  open: boolean;
+  onClose: () => void;
+}
+
+const ProfileModal = memo(function ProfileModal({ open, onClose }: ProfileModalProps) {
+  const { user, refreshUser } = useAuth();
+  const [form] = Form.useForm();
+  const [loading, setLoading] = useState(false);
+  const { t } = useI18n();
+
+  useEffect(() => {
+    if (open && user) {
+      form.setFieldsValue({
+        username: user.username || '',
+        full_name: user.full_name || '',
+        email: user.email || '',
+        old_password: '',
+        new_password: '',
+      });
+    } else if (!open) {
+      form.resetFields();
+    }
+  }, [open, user, form]);
+
+  const handleOk = async () => {
+    try {
+      const values = await form.validateFields();
+      const payload: any = {};
+      if (values.full_name !== (user?.full_name || '')) payload.full_name = values.full_name || null;
+      if (values.email !== (user?.email || '')) payload.email = values.email || null;
+      if (values.old_password || values.new_password) {
+        payload.old_password = values.old_password || '';
+        payload.new_password = values.new_password || '';
+      }
+      setLoading(true);
+      await authApi.updateMe(payload);
+      await refreshUser();
+      message.success(t('Saved successfully'));
+      onClose();
+    } catch (e) {
+      if (e instanceof Error) {
+        message.error(e.message || t('Save failed'));
+      }
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  return (
+    <Modal
+      title={t('Profile')}
+      open={open}
+      onCancel={onClose}
+      onOk={handleOk}
+      confirmLoading={loading}
+      okText={t('Save')}
+      cancelText={t('Cancel')}
+      forceRender
+    >
+      <Form form={form} layout="vertical">
+        <Form.Item name="username" label={t('Username')}>
+          <Input disabled />
+        </Form.Item>
+        <Form.Item name="full_name" label={t('Full Name')}>
+          <Input placeholder={t('Full Name')} />
+        </Form.Item>
+        <Form.Item name="email" label={t('Email')}>
+          <Input placeholder={t('Email')} type="email" />
+        </Form.Item>
+        <Collapse
+          size="small"
+          items={[{
+            key: 'pwd',
+            label: t('Change Password'),
+            children: (
+              <>
+                <Form.Item
+                  name="old_password"
+                  label={t('Old Password')}
+                  dependencies={["new_password"]}
+                  rules={[{
+                    validator: async (_, value) => {
+                      const newPwd = form.getFieldValue('new_password');
+                      if ((value && !newPwd) || (!value && newPwd)) {
+                        throw new Error(t('Please fill both old and new password'));
+                      }
+                    }
+                  }]}
+                >
+                  <Input.Password placeholder={t('Old Password')} autoComplete="current-password" />
+                </Form.Item>
+                <Form.Item
+                  name="new_password"
+                  label={t('New Password')}
+                  dependencies={["old_password"]}
+                  rules={[{
+                    validator: async (_, value) => {
+                      const oldPwd = form.getFieldValue('old_password');
+                      if ((value && !oldPwd) || (!value && oldPwd)) {
+                        throw new Error(t('Please fill both old and new password'));
+                      }
+                    }
+                  }]}
+                >
+                  <Input.Password placeholder={t('New Password')} autoComplete="new-password" />
+                </Form.Item>
+              </>
+            )
+          }]} />
+      </Form>
+    </Modal>
+  );
+});
+
+export default ProfileModal;