# 项目结构和调用时序

## 目录结构

| 路径 | 职责 |
| --- | --- |
| `pyxray/cli.py` | 命令行入口。默认启动 Web。 |
| `pyxray/web/server.py` | 创建 Flask app，注册各 API 和生命周期清理。 |
| `pyxray/web/dashboard.py` | 渲染首页。 |
| `pyxray/web/jobs.py` | 内存任务表，当前用于下载任务轮询。 |
| `pyxray/web/nodes.py` | 节点 API。 |
| `pyxray/web/xray_assets.py` | Xray 资源下载 API。 |
| `pyxray/web/xray_config.py` | 配置保存和生成 API。 |
| `pyxray/web/xray_service.py` | Xray 启停和日志 API。 |
| `pyxray/web/templates/` | Jinja 页面和配置表单。 |
| `pyxray/web/static/` | 前端 JS/CSS。 |
| `pyxray/libs/nodes/` | 节点链接解析、标准化、TOML 存储。 |
| `pyxray/libs/xray_assets.py` | 下载和检查 `xray`、`geoip.dat`、`geosite.dat`。 |
| `pyxray/libs/xray_asset_settings.py` | `download.toml` 读写。 |
| `pyxray/libs/xray_config/` | Xray JSON、透明代理脚本、TinyTun 配置和设置存储。 |
| `pyxray/libs/xray_runtime.py` | Xray 子进程管理、端口检查、日志转发。 |
| `pyxray/libs/xray_transparent_runtime.py` | 透明代理脚本执行、回滚、本地 CIDR watcher。 |
| `tests/` | 单元测试和 Web API 测试。 |
| `docs/` | 使用和配置文档。 |
| `scripts/build.sh` | Docker 镜像构建脚本。 |
| `compose.yaml` | Docker 透明代理部署。 |

## 数据文件

| 文件 | 创建方 | 读写时机 |
| --- | --- | --- |
| `nodes.toml` | `NodeStore` | 导入、选择、删除节点。 |
| `settings.toml` | `XrayConfigSettingsStore` | 保存配置页设置、生成配置、启动 Xray。 |
| `download.toml` | `XrayAssetSettingsStore` | 保存下载页设置、启动下载任务。 |
| `config.json` | `generate_current_xray_config` | 生成配置、启动 Xray 前。 |
| `xray.log` | `XrayServiceManager` / `TransparentRuntime` | 启停 Xray、转发 Xray 输出、透明代理脚本日志。 |
| `transparent/*` | `write_transparent_rule_files` | 生成配置、启动 Xray 前。 |

## Web App 装配

```mermaid
flowchart TD
  CLI[pyxray cli] --> RunWeb[run_web]
  RunWeb --> CreateApp[create_app]
  CreateApp --> Jobs[init_job_store]
  CreateApp --> Assets[register_xray_assets]
  CreateApp --> Nodes[register_nodes]
  CreateApp --> Config[register_xray_config]
  CreateApp --> Service[register_xray_service]
  CreateApp --> Lifecycle[_bind_xray_lifecycle]
  CreateApp --> Dashboard[register_dashboard]
```

## 首页渲染

```mermaid
sequenceDiagram
  participant B as Browser
  participant D as dashboard.index
  participant A as AssetSettingsStore
  participant N as NodeManager
  participant C as XrayConfigSettingsStore
  participant S as XrayServiceManager

  B->>D: GET /
  D->>A: load download.toml
  D->>N: list_nodes + selected_id
  D->>C: load settings.toml
  D->>S: status
  D-->>B: render index.html
```

## 资源下载

```mermaid
sequenceDiagram
  participant B as Browser
  participant API as /api/xray/assets/ensure
  participant Store as XrayAssetSettingsStore
  participant Jobs as JobStore
  participant Worker as _run_asset_job
  participant Assets as ensure_xray_assets

  B->>API: POST form
  API->>Store: save download.toml
  API->>Jobs: start worker
  API-->>B: job_id
  Worker->>Assets: check/download/extract
  Worker->>Jobs: update steps/status
  B->>Jobs: GET job status
  Jobs-->>B: progress/result
```

## 节点导入和选择

```mermaid
sequenceDiagram
  participant B as Browser
  participant API as nodes API
  participant M as NodeManager
  participant P as parse_node_link
  participant S as NodeStore

  B->>API: POST /api/nodes/import
  API->>M: import_links
  M->>P: parse + normalize
  M->>S: save nodes.toml
  API-->>B: import results
  B->>API: POST /api/nodes/select
  API->>M: select_node
  M->>S: save selected_id
  API-->>B: selected node
```

## 配置生成

```mermaid
sequenceDiagram
  participant B as Browser
  participant API as /api/xray/config/generate
  participant N as NodeManager
  participant S as SettingsStore
  participant G as generate_xray_config
  participant T as write_transparent_rule_files
  participant U as write_tinytun_config_file
  participant FS as data directory

  B->>API: POST generate
  API->>N: get_selected_node
  API->>S: load settings.toml
  API->>G: node + settings
  G-->>API: config dict
  API->>FS: write config.json
  API->>T: write transparent scripts
  API->>U: write tinytun.yaml if needed
  API-->>B: config + paths
```

## 启动 Xray 和透明代理

```mermaid
sequenceDiagram
  participant B as Browser
  participant API as /api/xray/service/start
  participant G as generate_current_xray_config
  participant X as XrayServiceManager
  participant R as TransparentRuntime
  participant OS as Host network

  B->>API: POST start
  API->>G: regenerate config and scripts
  API->>X: status
  API->>X: start xray
  X->>X: check inbound ports
  X->>OS: Popen xray run -config config.json
  X->>X: forward stdout/stderr to xray.log
  API->>R: setup settings
  R->>R: cleanup old rules best-effort
  R->>OS: run ip-forward script
  R->>OS: run iptables setup, fallback nft
  R->>OS: run resolv setup
  R->>R: start local CIDR watcher
  API-->>B: running status
```

## 停止和清理

```mermaid
sequenceDiagram
  participant B as Browser
  participant API as /api/xray/service/stop
  participant X as XrayServiceManager
  participant R as TransparentRuntime
  participant OS as Host network

  B->>API: POST stop
  API->>X: stop
  X->>R: before_stop cleanup
  R->>R: stop local CIDR watcher
  R->>OS: run resolv cleanup
  R->>OS: run transparent backend cleanup
  X->>OS: terminate xray process
  API-->>B: stopped status
```

## Docker 透明代理部署

```mermaid
flowchart TD
  Compose["docker compose"] --> Container["pyxray container"]
  Container --> HostNet["host network namespace"]
  Container --> ConfigVol["data volume mounted to config"]
  Container --> Resolv["resolv.conf bind mount"]
  Container --> Modules["lib modules read-only mount"]
  HostNet --> XrayPorts["Xray listens on host ports"]
  HostNet --> Rules["iptables nft ip rule affect host"]
  Resolv --> DNS["host DNS hijack when enabled"]
```

关键点：

| Compose 配置 | 原因 |
| --- | --- |
| `network_mode: host` | Xray 端口和透明代理规则直接作用于宿主机。 |
| `privileged: true` | 允许改防火墙、策略路由、procfs。 |
| `./data:/config` | 容器重建后状态不丢。 |
| `/etc/resolv.conf:/etc/resolv.conf` | redirect DNS 劫持修改宿主机 DNS。 |
| `/lib/modules:/lib/modules:ro` | 读取宿主机内核模块信息。 |

## 修改建议

| 目标 | 优先修改位置 |
| --- | --- |
| 增加节点协议 | `pyxray/libs/nodes/parsers/`、`pyxray/libs/xray_config/outbound.py`。 |
| 增加配置字段 | `settings.py`、`store.py`、配置模板、`generator.py`。 |
| 改 Web API | `pyxray/web/*.py`。 |
| 改配置生成 | `pyxray/libs/xray_config/generator.py`。 |
| 改透明代理规则 | `transparent_rules.py`。 |
| 改规则执行/回滚 | `xray_transparent_runtime.py`。 |
| 改 Docker 部署 | `Dockerfile`、`compose.yaml`、`scripts/build.sh`。 |