From 37434cf20754709922cd236d16bd177ea839f41a Mon Sep 17 00:00:00 2001 From: chakcy <947105045@qq.com> Date: Tue, 21 Jul 2026 15:39:47 +0800 Subject: [PATCH] add first commit --- .gitignore | 28 + .python-version | 1 + README.md | 0 config.toml | 95 ++ public/chongming.ico | Bin 0 -> 237133 bytes public/config.toml | 69 + public/main.py | 100 ++ public/server.py | 21 + pyproject.toml | 64 + src/chongming/__init__.py | 60 + src/chongming/app/__init__.py | 190 +++ src/chongming/app/core/__init__.py | 0 src/chongming/app/core/config.py | 207 +++ src/chongming/app/core/lifespan_setup.py | 173 +++ src/chongming/app/core/logger.py | 191 +++ src/chongming/app/core/route_generator.py | 418 ++++++ src/chongming/app/core/static_files.py | 100 ++ src/chongming/app/core/worker_manager.py | 202 +++ src/chongming/app/routes/__init__.py | 3 + src/chongming/app/routes/storage.py | 63 + src/chongming/scripts/build.py | 501 +++++++ src/chongming/scripts/code_content.py | 47 + src/chongming/scripts/gen_models.py | 333 +++++ test.mp4 | Bin 0 -> 918742 bytes test_jwt.py | 27 + uv.lock | 1485 +++++++++++++++++++++ 26 files changed, 4378 insertions(+) create mode 100644 .gitignore create mode 100644 .python-version create mode 100644 README.md create mode 100644 config.toml create mode 100644 public/chongming.ico create mode 100644 public/config.toml create mode 100644 public/main.py create mode 100644 public/server.py create mode 100644 pyproject.toml create mode 100644 src/chongming/__init__.py create mode 100644 src/chongming/app/__init__.py create mode 100644 src/chongming/app/core/__init__.py create mode 100644 src/chongming/app/core/config.py create mode 100644 src/chongming/app/core/lifespan_setup.py create mode 100644 src/chongming/app/core/logger.py create mode 100644 src/chongming/app/core/route_generator.py create mode 100644 src/chongming/app/core/static_files.py create mode 100644 src/chongming/app/core/worker_manager.py create mode 100644 src/chongming/app/routes/__init__.py create mode 100644 src/chongming/app/routes/storage.py create mode 100644 src/chongming/scripts/build.py create mode 100644 src/chongming/scripts/code_content.py create mode 100644 src/chongming/scripts/gen_models.py create mode 100644 test.mp4 create mode 100644 test_jwt.py create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1e99ef4 --- /dev/null +++ b/.gitignore @@ -0,0 +1,28 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +build_nuitka/ +dist/ +wheels/ +*.egg-info + +# Virtual environments +.venv +data +logs +resources +cache_data +output.md + +# plugins +src/plugins/ + +# chongming-web +src/chongming-web + +# chonging-config +config + +# chongming-utils +utils diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/README.md b/README.md new file mode 100644 index 0000000..e69de29 diff --git a/config.toml b/config.toml new file mode 100644 index 0000000..d46a363 --- /dev/null +++ b/config.toml @@ -0,0 +1,95 @@ +[default] +app.debug = false +app.description = "基于 FastAPI 的 chongming 打包脚手架" +app.name = "chongming" +app.version = "chongming" +env = "development" +prefix = "/api/v1" +upload_path = "uploads" + +[nanio] +nanio_access_key = "minioadmin" +nanio_secret_key = "minioadmin" +storage_path = "./data/storage" +endpoint_url = "http://127.0.0.1:9000" +signature_version = "s3v4" +region_name = "us-east-1" +bucket = "chongming" + +[zenoh] +json5_path = "./config/zenoh_config.json5" + +[scheduler] +job_store_path = "scheduler_jobs.db" + +[cache] +cache_store_path = "./cache_data" + +[security] +access_token_expire_minutes = 1440 +algorithm = "HS256" +max_sessions_per_user = 5 +refresh_token_expire_days = 7 +secret_key = "your-secret-key-change-in-production" + +[development] +debug = true +env = "development" + +[development.server] +access_log = false +host = "0.0.0.0" +port = 8000 +reload = true + +[development.logging] +file = "logs" +format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s" +level = "DEBUG" + +[development.cors] +allow_credentials = true +allow_headers = ["*"] +allow_methods = ["*"] +allow_origins = ["*"] + +[plugins_worker] +config_path = "./config/workers/config.toml" + +[pyinstaller_build_import] +base = [ + "utils", # public 骨架 + "utils.launch", + "utils.config", + "zenoh", + "chongming_worker", + "chongming_request", + "server", + "module_bank", # 模块化打包工具 + "sqlite_vfs", + "sqlite_vfs.core", + "fastapi", # web 应用依赖 + "fastapi.staticfiles", + "fastapi.middleware.cors", + "uvicorn", + "apscheduler", + "diskcache", + "orjson", + "python_multipart", + "nanio", + "boto3", + "modelvault", +] +linux = [ + "gunicorn.glogging", + "gunicorn.app", + "gunicorn.app.wsgiapp", +] +windows = [] + +[production.module_system] +path = [ + ["resources/app.mbank", "src/chongming/app", "app"], + ["resources/plugins.mbank", "src/plugins", "plugins"], +] +type = "module-bank" \ No newline at end of file diff --git a/public/chongming.ico b/public/chongming.ico new file mode 100644 index 0000000000000000000000000000000000000000..8e36272f41d38f6cb58f40f330b7005740dfa9fd GIT binary patch literal 237133 zcmV)2K+L}Y009620QB?#0000W05_fk02TlM0EtjeM-2)Z3IG5A4M|8uQUCw}^Z)<> z^aut3007I@---YL00d`2O+f$vv5yP z0Dy!50Qvv`0D$NK0Cg|`0P0`>06Lfe02gqax=}m;03ZNKL_t(|oaDWE&}~O`ANpIp z&-uQ4udXJ9BoLYafiR=6F_=k02!ZBV0^%2k%3%A&^&H1e?37(j`NbrD^~(9a^Un^ zi1!g9Z0rCc5VH&!VJ0X%UH~EmHv>mb=0|zr76xwqk)JcyDa5r=EIFp)2~LPr90*?R zyzRIKp7c-F|M@(3oe&KXuZ|*qN?_&xnU0D%kpsbj6|d$Va!&B4;}J*}mzjmw0strD zgh;Q7*EAQIh>S%<2tnvd@J|ddj|M)M;UGrM0(4)*@uz$ZXi+Ih6rsd1~2b z6cW_S$P8d;$L`Hng*Xuq7;r00)KN2!kX{ z>~jLEDoDYsFChvh({CX>bxxJgP0Uttqxh^5l9aZx4|W7AJlkfuIfGPb)9aiS2y%T! z7L^?qMQAWIq0feh3xhu9j0!5~|iWYPn`Gk=6L>7j=+H;0>RMBDvh9M0W6{HE609iws zFEhYY>@hM5Wz9>wYiJbe9-qrksIpPrL-t1HRUzX!5q{a5&XZUa!elSR5gZd790CV; 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%(name)s - %(levelname)s - %(message)s" +level = "INFO" +max_size = 10485760 # 10MB + +[production.cors] +allow_credentials = true +allow_headers = ["*"] +allow_methods = ["*"] +allow_origins = ["*"] + +[production.module_system] +path = [ + "resources/app.mbank", + "resources/plugins.mbank", +] +type = "module-bank" + +[production.file_system] +path = "static.svfs" +type = "svfs" diff --git a/public/main.py b/public/main.py new file mode 100644 index 0000000..20a3346 --- /dev/null +++ b/public/main.py @@ -0,0 +1,100 @@ +# main.py - 修复 reload 问题 +#!/usr/bin/env python3 +""" +FastAPI chongming 示例 +主入口文件，适配 chongming 打包系统 +""" +import os +import sys +import platform +from utils.launch import launch +from multiprocessing import freeze_support +import server + +use_shell = platform.system() == "Windows" + + +def app_run(app_config: dict, default_config: dict): + """ + 应用运行函数 - 适配模块银行环境 + + Args: + app_config: 应用配置字典，包含服务器配置、环境设置等 + default_config: 默认配置字典，包含应用名称、版本等基础信息 + + Returns: + None: 此函数不返回值，直接启动服务器并阻塞运行 + """ + from app.core.logger import get_logger # type: ignore + + logger = get_logger("app") + + # 获取服务器配置 + server_config = app_config.get("server", {}) + host = server_config.get("host", "0.0.0.0") + port = server_config.get("port", 8000) + timeout_keep_alive = server_config.get("timeout_keep_alive", 5) + + # 打包环境强制禁用重载 + is_frozen = getattr(sys, "frozen", False) + reload = False if is_frozen else server_config.get("reload", False) + # 支持通过环境变量 APP_WORKERS 覆盖 worker 数量（方便嵌入式设备调优） + default_workers = server_config.get("workers", 4) + workers = int(os.environ.get("APP_WORKERS", str(default_workers))) + + # 显示启动信息 + env = app_config.get("env", "development") + logger.info("=" * 50) + logger.info(f"🚀 启动 {default_config.get('app.name', 'FastAPI 应用')}") + logger.info(f"📦 版本: {default_config.get('app.version', '1.0.0')}") + logger.info(f"🌍 环境: {env}") + logger.info(f"📍 地址: http://{host}:{port}") + logger.info(f"📚 文档: http://{host}:{port}/docs") + logger.info(f"🔧 调试: {'启用' if app_config.get('debug', False) else '禁用'}") + logger.info(f"🔄 重载: {'启用' if reload else '禁用'}") + logger.info(f"👥 Workers: {workers}") + logger.info("=" * 50) + + # 根据操作系统选择不同的服务器启动方式 + if use_shell: + import uvicorn + + uvicorn.run( + "server:app", + host=host, + port=port, + reload=reload, + workers=workers, + log_level="debug" if app_config.get("debug", False) else "info", + access_log=False, + timeout_keep_alive=timeout_keep_alive, + ) + else: + from gunicorn.app.wsgiapp import run + + sys.argv = [ + "gunicorn", + "server:app", + "-k", + "uvicorn.workers.UvicornWorker", + "-w", + str(workers), + "-b", + f"{host}:{port}", + ] + run() + + +def main(): + """ + 主函数入口 - 初始化多进程支持并启动应用 + + Returns: + None: 此函数不返回值，调用launch函数启动应用 + """ + freeze_support() + launch(app_run, "production") + + +if __name__ == "__main__": + main() diff --git a/public/server.py b/public/server.py new file mode 100644 index 0000000..6e586ec --- /dev/null +++ b/public/server.py @@ -0,0 +1,21 @@ +# server.py +import sys +from utils.launch import init_module_bank +from utils.config import ConfigLoader + +# 加载配置文件并初始化模块银行 +config = ConfigLoader("config.toml") +init_module_bank(config) + +# 从数据库动态导入 app 模块 +# 该模块存储在 SQLite 数据库中，通过自定义导入机制加载 +try: + import app # type: ignore + + app_instance = app.app +except ImportError as e: + print(f"无法从数据库导入 app 模块: {e}") + sys.exit(1) + +# 暴露 ASGI 应用实例，供 uvicorn 服务器使用 +app = app_instance diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..96b80d4 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,64 @@ +[build-system] +build-backend = "hatchling.build" +requires = ["hatchling"] + +[project] +dependencies = [ + "apscheduler", + "boto3", + "chongming-jwt", + "chongming-request", + "chongming-worker", + "diskcache", + "eclipse-zenoh", + "fastapi[uvicorn]", + "gunicorn", + "modelvault", + "module-bank", + "nanio", + "openai", + "orjson", + "python-multipart", + "sqlite-vfs", + "tomli", + "typing-extensions", + "uvicorn", + "volcengine-python-sdk[ark]>=5.0.41", +] +description = "基于 modules-bank 的 fastapi 打包脚手架" +name = "chongming-zenoh" +readme = "README.md" +requires-python = ">=3.12" +version = "0.1.0" + +[dependency-groups] +dev = [ + "nuitka", + "pyarmor", + "pyinstaller", + "ruff", +] + +[tool.hatch.build.targets.wheel] +packages = ["src/chongming"] + +[[tool.uv.index]] +url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple" + +[tool.uv.workspace] +members = [ + "utils/worker", + "utils/request", + "utils/jwt", +] + +[tool.uv.sources] +chongming-request = { workspace = true } +chongming-worker = { workspace = true } +chongming-jwt = { workspace = true } + +[project.scripts] +build = "chongming.scripts.build:build" +gen_models = "chongming.scripts.gen_models:gen_models" +gunicorn = "chongming:gunicorn_serve" +serve = "chongming:serve" diff --git a/src/chongming/__init__.py b/src/chongming/__init__.py new file mode 100644 index 0000000..37f052d --- /dev/null +++ b/src/chongming/__init__.py @@ -0,0 +1,60 @@ +import uvicorn +from .app.core.config import load_config +from .app.core.logger import get_logger + + +def serve(): + """ + 使用 uvicorn 启动服务 + + 从配置文件中加载服务器配置和日志配置，然后使用 uvicorn 启动应用服务。 + 该函数适用于开发环境或单进程部署场景。 + + Returns: + None: 该函数不返回值，会阻塞运行直到服务停止 + """ + config = load_config() + env = config["default"]["env"] + server_config = config[env]["server"] + log_config = config[env]["logging"] + logger = get_logger("app") + logger.info(f"启动服务: {server_config}") + logger.info(f"启动日志: {log_config}") + uvicorn.run("chongming.app:app", **server_config) + + +def gunicorn_serve(): + """ + 使用 gunicorn 启动服务 + + 通过 gunicorn 作为进程管理器启动应用，使用 UvicornWorker 作为 worker 类型， + 支持多进程部署，适用于生产环境。 + + 从配置文件中读取服务器配置，动态设置 gunicorn 的 worker 数量、绑定地址和端口等参数。 + + Returns: + None: 该函数不返回值，会阻塞运行直到服务停止 + """ + import sys + from gunicorn.app.wsgiapp import run + + config = load_config() + env = config["default"]["env"] + server_config = config[env]["server"] + + # 构建 gunicorn 命令行参数并启动服务 + sys.argv = [ + "gunicorn", + "chongming.app:app", + "-k", + "uvicorn.workers.UvicornWorker", + "-w", + f"{server_config.get('workers', 4)}", + "-b", + f"{server_config.get('host', '0.0.0.0')}:{server_config.get('port', 8000)}", + ] + run() + + +if __name__ == "__main__": + serve() diff --git a/src/chongming/app/__init__.py b/src/chongming/app/__init__.py new file mode 100644 index 0000000..0ce1014 --- /dev/null +++ b/src/chongming/app/__init__.py @@ -0,0 +1,190 @@ +""" +chongming FastAPI 应用入口 + +重构为配置驱动的微服务网关： +- WorkerManager: 统一管理 Zenoh worker 存活检测、负载均衡、超时重试、缓存 +- RouteGenerator: 根据配置自动生成 FastAPI 端点 +- 插件工厂函数动态加载 +""" + +import time +import asyncio +from contextlib import asynccontextmanager + +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse +from fastapi.middleware.cors import CORSMiddleware + +from .core.config import get_config +from .core.logger import get_logger +from .core.static_files import SVFSStaticFiles +from .core import lifespan_setup +from .routes import storage_router + + +config = get_config() +logger = get_logger("app") + +try: + env = config["default"]["env"] +except KeyError: # pragma: no cover + raise ValueError("配置不存在") + +@asynccontextmanager +async def lifespan(app: FastAPI): +# ---- 启动阶段 ---- + # 1. nanio + lifespan_setup.setup_nanio(app) + await asyncio.sleep(1) # 等待 nanio 启动 + + # 2. S3 + lifespan_setup.setup_s3(app) + + # 3. Zenoh + session = lifespan_setup.setup_zenoh(app) + + # 4. WorkerManager + manager = lifespan_setup.setup_worker_manager(app, session) + + # 5. 加载 workers + worker_tasks = await lifespan_setup.load_workers(app, session, manager) + + # 6. 注册路由 + await lifespan_setup.register_routes(app, manager) + + # 7. 短暂等待，确保 worker 状态同步 + await asyncio.sleep(0.5) + + # 打印 worker 就绪状态 + worker_status = { + wtype: len(workers) + for wtype, workers in manager._workers_cache.items() + } + logger.info(f"Worker 就绪状态: {worker_status}") + + # ---- 应用运行 ---- + yield + + # ---- 关闭阶段 ---- + logger.info("正在关闭应用...") + + # 1. 清理 workers（调用 cleanup） + await lifespan_setup.cleanup_workers(app) + + # 2. 取消刷新任务 + refresh_task = getattr(app.state, "refresh_task", None) + if refresh_task: + refresh_task.cancel() + try: + await refresh_task + except asyncio.CancelledError: + pass + + # 3. 取消所有 worker 任务 + for task in worker_tasks: + task.cancel() + if worker_tasks: + await asyncio.gather(*worker_tasks, return_exceptions=True) + + # 4. 关闭 Zenoh 会话 + session.close() + logger.info("Zenoh 会话已关闭") + + # 5. 终止 nanio + await lifespan_setup.shutdown_nanio(app) + + logger.info("应用已关闭") + + +cors = config[env].get("cors", {}) +app = FastAPI( + title=config["default"]["app"]["name"], + version=config["default"]["app"]["version"], + description=config["default"]["app"]["description"], + docs_url="/docs" if config[env]["debug"] else None, + redoc_url="/redoc" if config[env]["debug"] else None, + openapi_url="/openapi.json" if config[env]["debug"] else None, + lifespan=lifespan, +) + +app.add_middleware(CORSMiddleware, **cors) + + +@app.middleware("http") +async def access_log_middleware(request: Request, call_next): + """ + HTTP访问日志中间件，记录每个请求的详细信息。 + + 记录的信息包括： + - 请求方法和路径 + - 响应状态码 + - 请求处理时长（毫秒） + - 客户端IP地址 + + 参数: + request: FastAPI请求对象 + call_next: 下一个中间件或路由处理函数 + + 返回: + Response: 处理后的响应对象 + """ + start = time.perf_counter() + response = await call_next(request) + duration = (time.perf_counter() - start) * 1000 + client = request.client.host if request.client else "-" + + logger.info( + f"{request.method} {request.url.path} status={response.status_code} " + f"duration={duration:.2f}ms client={client}", + extra={"status_code": response.status_code}, + ) + return response + + +@app.get("/", summary="根路径") +async def root(): + """ + 根路径端点，返回应用的基本信息。 + + 返回: + dict: 包含应用名称、版本、文档地址和健康检查地址的字典 + """ + return { + "message": f"欢迎使用 {config['default']['app']['name']}", + "version": config["default"]["app"]["version"], + "docs": "/docs" if config[env]["debug"] else None, + "health": f"{config['default']['prefix']}/health", + } + + +@app.exception_handler(Exception) +async def global_exception_handler(_: Request, exc: Exception): + """ + 全局异常处理器，捕获并处理应用中未捕获的异常。 + + 在调试模式下返回详细的异常信息，在生产模式下返回通用错误提示。 + + 参数: + _: FastAPI请求对象（未使用） + exc: 捕获到的异常对象 + + 返回: + JSONResponse: 包含错误信息的JSON响应，状态码为500 + """ + logger.error(f"全局异常: {exc}") + return JSONResponse( + status_code=500, + content={ + "error": "内部服务器错误", + "detail": str(exc) if config[env]["debug"] else "请查看服务器日志", + }, + ) + + +# 静态文件服务（可选） +if vfs_db_path := config[env].get("file_system", {}).get("path", None): + logger.info("静态文件已存在，将使用静态文件服务") + static_files_handler = SVFSStaticFiles(directory="/", vfs_db_path=vfs_db_path) + app.mount("/static", static_files_handler, name="static") + +app.include_router(storage_router) diff --git a/src/chongming/app/core/__init__.py b/src/chongming/app/core/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/chongming/app/core/config.py b/src/chongming/app/core/config.py new file mode 100644 index 0000000..94eeee7 --- /dev/null +++ b/src/chongming/app/core/config.py @@ -0,0 +1,207 @@ +import sys +from pathlib import Path +from typing import TypedDict, Literal, Optional, cast, List + + +# 根据Python版本选择合适的TOML解析库和Required类型 +if sys.version_info >= (3, 11): + import tomllib + from typing import Required +else: + import tomli as tomllib + from typing_extensions import Required + +# 设置 env 为 development 或 production + + +class DefaultApp(TypedDict): + """应用默认配置结构""" + + name: str + version: str + description: str + debug: bool + + +class Default(TypedDict): + """系统默认配置结构，包含应用信息、环境、路径等基础配置""" + + app: DefaultApp + env: Literal["production", "development"] + prefix: str + upload_path: str + + +class SqliteConnectionArgs(TypedDict, total=False): + """SQLite数据库连接参数配置""" + + timeout: int + check_same_thread: bool + + +class DatabaseSqlite(TypedDict, total=False): + """SQLite数据库连接池及行为配置""" + + echo: bool + pool_size: int + max_overflow: int + pool_timeout: int + pool_recycle: int + pool_pre_ping: bool + connect_args: SqliteConnectionArgs + + +class Database(TypedDict, total=False): + """数据库配置结构，支持SQLite、MySQL、PostgreSQL三种数据库类型""" + + type: Required[Literal["sqlite", "mysql", "postgresql"]] + url: Required[str] + generate_schemas: bool + sqlite: DatabaseSqlite + mysql: dict + postgresql: dict + database_path: str + + +class Security(TypedDict): + """安全相关配置，包括JWT令牌和安全策略设置""" + + secret_key: str + algorithm: Literal["HS256"] + access_token_expire_minutes: int + refresh_token_expire_days: int + max_sessions_per_user: int + + +class Server(TypedDict, total=False): + """服务器运行配置，包含主机、端口、工作进程等设置""" + + host: Required[str] + port: Required[int] + reload: bool + workers: int + access_log: bool + + +class Logging(TypedDict): + """日志系统配置，定义日志级别、输出格式和文件管理策略""" + + level: str + file: str + format: str + max_size: int + backup_count: int + + +class Cors(TypedDict, total=False): + """跨域资源共享(CORS)配置""" + + allow_origins: List[str] + allow_credentials: bool + allow_methods: List[str] + allow_headers: List[str] + + +class ModuleSystem(TypedDict, total=False): + """模块系统配置，定义模块加载类型和路径""" + + type: str + path: List[str] + + +class FileSystem(TypedDict, total=False): + """文件系统配置，定义存储类型和路径""" + + type: str + path: str + + +class Env(TypedDict, total=False): + """环境特定配置结构，用于开发和生产环境的差异化配置""" + + debug: Required[bool] + server: Required[Server] + logging: Required[Logging] + cors: Cors + module_system: ModuleSystem + file_system: FileSystem + + +class Scheduler(TypedDict): + """任务调度器配置""" + + job_store_path: str + + +class Cache(TypedDict): + """缓存系统配置""" + + cache_store_path: str + + +class Config(TypedDict): + """完整配置结构，整合所有配置项，包含默认配置、数据库、调度器、缓存、安全和环境配置""" + + default: Default + database: Database + scheduler: Scheduler + cache: Cache + security: Security + development: Env + production: Env + + +def load_config(config_path: Path = Path("config.toml")) -> Config: + """ + 从TOML配置文件加载配置数据 + + Args: + config_path: 配置文件路径，默认为当前目录下的config.toml + + Returns: + Config: 解析后的配置字典对象 + + Raises: + FileNotFoundError: 当配置文件不存在时抛出异常 + """ + if not config_path.exists(): + raise FileNotFoundError(f"配置文件不存在: {config_path}") + with open(config_path, "rb") as f: + return cast(Config, tomllib.load(f)) + + +# 全局配置缓存变量，避免重复加载配置文件 +_config: Optional[Config] = None + + +def get_config(config_path: str = "config.toml") -> Config: + """ + 获取应用程序配置（带缓存机制） + + 首次调用时加载配置文件并缓存，后续调用直接返回缓存的配置对象 + + Args: + config_path: 配置文件路径，默认为config.toml + + Returns: + Config: 配置字典对象 + """ + global _config + if _config is None: + _config = load_config(Path(config_path)) + return _config + +def get_workers_config(config_path: str = "config/workers/config.toml") -> dict: + """ + 获取Worker插件配置列表 + + Args: + config_path: Worker配置文件路径，默认为config/workers/config.toml + + Returns: + list: Worker配置字典列表 + """ + if not Path(config_path).exists(): + raise FileNotFoundError(f"Worker配置文件不存在: {config_path}") + with open(config_path, "rb") as f: + return cast(dict, tomllib.load(f)) diff --git a/src/chongming/app/core/lifespan_setup.py b/src/chongming/app/core/lifespan_setup.py new file mode 100644 index 0000000..0e37cd8 --- /dev/null +++ b/src/chongming/app/core/lifespan_setup.py @@ -0,0 +1,173 @@ +import os + +import inspect +import subprocess +import asyncio + +import boto3 +from botocore.exceptions import ClientError +from botocore.config import Config +from diskcache import Cache +from fastapi import FastAPI +import zenoh + +from ..core.config import get_config, get_workers_config +from ..core.logger import get_logger +from ..core.route_generator import register_dynamic_routes +from ..core.worker_manager import WorkerManager + +config = get_config() +logger = get_logger("app") + +try: + env = config["default"]["env"] +except KeyError: # pragma: no cover + raise ValueError("配置不存在") + +def setup_nanio(app: FastAPI): + """启动 nanio 子进程作为 S3 兼容存储服务。""" + nanio_config = config.get("nanio", {}) + env = os.environ.copy() + env["NANIO_ACCESS_KEY"] = nanio_config.get("nanio_access_key", "minioadmin") + env["NANIO_SECRET_KEY"] = nanio_config.get("nanio_secret_key", "minioadmin") + + proc = subprocess.Popen( + [ + "nanio", + "serve", + "--data-dir", + nanio_config.get("storage_path", "./data/storage") + ], + env=env, + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL + ) + app.state.nanio_process = proc + logger.info("Nanio 进程已启动") + +def setup_s3(app: FastAPI): + """初始化 S3 客户端，并确保 bucket 存在。""" + nanio_config = config.get("nanio", {}) + s3_client = boto3.client( + "s3", + endpoint_url=nanio_config.get("endpoint_url", "http://127.0.0.1:9000"), + aws_access_key_id=nanio_config.get("nanio_access_key", "minioadmin"), + aws_secret_access_key=nanio_config.get("nanio_secret_key", "minioadmin"), + config=Config(signature_version=nanio_config.get("signature_version", "s3v4")), + region_name=nanio_config.get("region_name", "us-east-1") + ) + try: + s3_client.head_bucket(Bucket=nanio_config.get("bucket", "chongming")) + except ClientError as e: + if e.response["Error"]["Code"] == "404": + s3_client.create_bucket(Bucket="chongming") + logger.info("Bucket 'chongming' 已创建") + else: + raise + + app.state.s3_client = s3_client + app.state.storage_bucket = nanio_config.get("bucket", "chongming") + app.state.storage_presign_expire = 300 + app.state.storage_max_size = 100 * 1024 * 1024 # 100MB + +def setup_zenoh(app: FastAPI) -> zenoh.Session: + """建立 Zenoh 会话并存入 app.state。""" + zenoh_config = config.get("zenoh", {}) + + zconfig = zenoh.Config() + zconfig.from_file(zenoh_config.get("json5_path", "config/zenoh_config.json5")) + + try: + session = zenoh.open(zconfig) + logger.info("Zenoh 会话已建立 (TCP 自连接模式)") + except Exception as e: + logger.error(f"Zenoh 会话建立失败: {e}") + raise + + app.state.zenoh_session = session + return session + +def setup_worker_manager(app: FastAPI, session: zenoh.Session) -> WorkerManager: + """创建 WorkerManager，启动定期刷新任务，并存入 app.state。""" + cache = Cache(config["cache"]["cache_store_path"]) + manager = WorkerManager(session, cache) + app.state.worker_manager = manager + + refresh_task = asyncio.create_task(manager.refresh_workers()) + app.state.refresh_task = refresh_task + return manager + +async def load_workers(app: FastAPI, session: zenoh.Session, manager: WorkerManager): + """ + 加载配置中的 worker 插件，启动对应的 worker 任务。 + 返回任务列表。 + """ + workers_config_path = config.get("plugins_worker", {}).get("config_path", "config/workers/config.toml") + workers_conf = get_workers_config(workers_config_path).get("workers", []) + logger.info(f"读取到 {len(workers_conf)} 个 worker 配置") + + worker_tasks = [] + for wc in workers_conf: + module_name = wc.get("module", "") + factory_name = wc.get("factory", "") + count = wc.get("count", 1) + worker_config = wc.get("config", {}) + + if not module_name or not factory_name: + logger.warning(f"Worker 配置不完整: {wc}") + continue + + try: + module = __import__(module_name, fromlist=[factory_name]) + factory = getattr(module, factory_name) + if inspect.iscoroutinefunction(factory): + tasks = await factory(session, worker_config, count, worker_manager=manager) + else: + tasks = factory(session, worker_config, count, worker_manager=manager) + worker_tasks.extend(tasks) + logger.info(f"已加载 Worker 插件: {module_name}.{factory_name} (副本数: {count})") + except Exception as e: + logger.error(f"加载 Worker 插件失败 {module_name}: {e}") + + app.state.worker_tasks = worker_tasks + return worker_tasks + +async def register_routes(app: FastAPI, manager: WorkerManager): + """注册动态路由。""" + prefix = config["default"]["prefix"] + register_dynamic_routes(app, manager, prefix=prefix) + # 可选：等待路由注册生效（已在 register_dynamic_routes 内部完成日志） + +async def shutdown_nanio(app: FastAPI): + """终止 nanio 进程。""" + proc = getattr(app.state, "nanio_process", None) + if proc: + proc.terminate() + proc.wait() + logger.info("Nanio 进程已终止") + +async def cleanup_workers(app: FastAPI): + """调用每个 worker 配置中定义的 cleanup 函数。""" + workers_config_path = config.get("plugins_worker", {}).get("config_path", "config/workers/config.toml") + workers_conf = get_workers_config(workers_config_path).get("workers", []) + + for wc in workers_conf: + module_name = wc.get("module", "") + cleanup_name = wc.get("cleanup", "") + worker_type = wc.get("type", "") + + if not module_name or not cleanup_name: + logger.warning(f"Worker 配置缺少 cleanup: {wc}") + continue + + try: + module = __import__(module_name, fromlist=[cleanup_name]) + cleanup = getattr(module, cleanup_name) + pid = os.getpid() + worker_id = f"worker/{worker_type}/worker-i-{pid}" + if inspect.iscoroutinefunction(cleanup): + await cleanup(worker_id) + else: + cleanup(worker_id) + except Exception as e: + logger.error(f"cleanup 调用失败 {module_name}: {e}") \ No newline at end of file diff --git a/src/chongming/app/core/logger.py b/src/chongming/app/core/logger.py new file mode 100644 index 0000000..2472958 --- /dev/null +++ b/src/chongming/app/core/logger.py @@ -0,0 +1,191 @@ +import re +import logging +import datetime +from pathlib import Path +from logging.handlers import RotatingFileHandler + +from ..core.config import get_config + + +config = get_config() +env = config["default"]["env"] +server_config = config[env]["server"] +log_config = config[env]["logging"] + + +class ColoredFormatter(logging.Formatter): + """ + 为 HTTP 状态码添加颜色的日志格式化器 + + 根据 HTTP 状态码的首位数字为日志消息中的状态码添加不同颜色： + - 2xx: 绿色（成功） + - 3xx: 青色（重定向） + - 4xx: 黄色（客户端错误） + - 5xx: 红色（服务器错误） + + Attributes: + COLORS: 状态码首位数字到 ANSI 颜色代码的映射字典 + RESET: ANSI 重置颜色代码 + """ + + COLORS = { + "2": "\033[32m", # 绿色 2xx + "3": "\033[36m", # 青色 3xx + "4": "\033[33m", # 黄色 4xx + "5": "\033[31m", # 红色 5xx + } + RESET = "\033[0m" + + def format(self, record): + """ + 格式化日志记录，为状态码添加颜色 + + 如果日志记录包含 status_code 属性，则查找消息中的 "status=数字" 模式 + 并为其添加对应的颜色代码。格式化完成后恢复原始消息以避免影响其他 handler。 + + Args: + record: 日志记录对象，应包含 msg 属性和可选的 status_code 属性 + + Returns: + str: 格式化后的日志消息字符串，状态码部分可能包含 ANSI 颜色代码 + """ + # 保存原始消息 + original_msg = record.msg + # 如果日志记录包含 status_code 属性，则为其添加颜色 + status_code = getattr(record, "status_code", None) + if status_code and isinstance(status_code, int): + first_digit = str(status_code)[0] + color = self.COLORS.get(first_digit, "") + colored_status = f"{color}{status_code}{self.RESET}" + # 替换消息中的 "status=数字" 为带颜色的版本 + record.msg = re.sub( + rf"status={status_code}\b", f"status={colored_status}", original_msg + ) + result = super().format(record) + # 恢复原始消息，避免影响其他 handler + record.msg = original_msg + return result + + +class ExcludeWatchFilesFilter(logging.Filter): + """ + 日志过滤器，用于排除第三方库的日志输出 + + 过滤掉来自 watchfiles、aiosqlite、apscheduler、sqlalchemy 等库的日志记录， + 避免这些库的详细日志污染应用日志输出。 + """ + + def __init__(self): + """ + 初始化过滤器，设置需要过滤的日志名称前缀列表 + """ + super().__init__() + self._filter_starts_with_tulpe = ( + "watchfiles", + "aiosqlite", + "apscheduler", + "sqlalchemy", + "sqlitedict", + "sqlalchemy.engine.Engine", + ) + + def filter(self, record): + """ + 判断是否应该保留该日志记录 + + Args: + record: 日志记录对象，包含 name 属性表示日志来源 + + Returns: + bool: 如果日志名称不以过滤列表中的任何前缀开头则返回 True（保留）， + 否则返回 False（过滤掉） + """ + return not record.name.startswith(self._filter_starts_with_tulpe) + + +_configured_loggers = set() + + +def setup_logging(logger: logging.Logger, log_name: str = "app"): + """ + 配置日志系统，包括文件和控制台输出 + + 为指定的 logger 配置以下功能： + 1. 设置日志级别和格式 + 2. 创建按日期命名的轮转文件处理器（支持文件大小限制和备份数量控制） + 3. 创建带颜色格式化的控制台处理器 + 4. 应用过滤器排除第三方库日志 + + 该函数具有防重复配置机制，同一个 log_name 只会配置一次。 + + Args: + logger: 需要配置的 logging.Logger 实例 + log_name: 日志名称标识，用于区分不同的日志配置和生成日志文件名，默认为 "app" + + Returns: + None + + Raises: + 无显式抛出异常，但可能因文件系统权限问题导致目录创建或文件写入失败 + """ + if log_name in _configured_loggers: + return + _configured_loggers.add(log_name) + log_level = getattr(logging, log_config["level"], logging.INFO) + log_format = log_config["format"] + # 创建文件夹 + log_file_path = Path(log_config["file"]) + if log_file_path != Path("."): + log_file_path.mkdir(parents=True, exist_ok=True) + + # 配置根日志记录器 + logger.setLevel(log_level) + + # 创建格式化器 + plain_formatter = logging.Formatter(log_format) + color_formatter = ColoredFormatter(log_format) + + # 创建轮转文件处理器 - 限制文件大小为 10MB，保留 5 个备份文件 + max_bytes = log_config.get("max_size", 10 * 1024 * 1024) # 默认 10MB + backup_count = log_config.get("backup_count", 5) # 默认保留 5 个备份 + + file_handler = RotatingFileHandler( + f"{log_config['file']}/{log_name}-{datetime.date.today()}.log", + encoding="utf-8", + maxBytes=max_bytes, + backupCount=backup_count, + ) + file_handler.setFormatter(plain_formatter) + file_handler.addFilter(ExcludeWatchFilesFilter()) + + # 创建控制台处理器并添加过滤器 + console_handler = logging.StreamHandler() + console_handler.setFormatter(color_formatter) + console_handler.addFilter(ExcludeWatchFilesFilter()) + + # 添加处理器到根日志记录器 + logger.addHandler(file_handler) + logger.addHandler(console_handler) + + print( + f"日志系统已配置 - 级别: {logging.getLevelName(log_level)}, 文件: {log_config['file']} " + f"(最大：{max_bytes / 1024 / 1024:.1f}MB, 备份：{backup_count})" + ) + + +def get_logger(name: str) -> logging.Logger: + """ + 获取配置好的日志记录器实例 + + 根据名称获取或创建 logger 实例，并自动调用 setup_logging 进行配置。 + 如果该名称的 logger 已经配置过，则直接返回已配置的实例。 + + Args: + name: 日志记录器名称，通常使用模块名如 __name__ + + Returns: + logging.Logger: 已配置完成的日志记录器实例，可直接用于记录日志 + """ + logger = logging.getLogger(name) + setup_logging(logger, name) + return logger diff --git a/src/chongming/app/core/route_generator.py b/src/chongming/app/core/route_generator.py new file mode 100644 index 0000000..bfbbe26 --- /dev/null +++ b/src/chongming/app/core/route_generator.py @@ -0,0 +1,418 @@ +""" +动态路由生成器 + +根据配置文件中的 worker 路由定义，动态生成 FastAPI 端点。 +为每个端点生成带有正确 Pydantic 类型注解的处理函数，确保 OpenAPI 文档 +正确反映参数类型、响应结构，并注册到 components/schemas。 +""" +import asyncio +import json +from typing import Any, Dict, List, Optional, get_type_hints +from inspect import Parameter, Signature + +from fastapi import FastAPI, HTTPException, APIRouter, Query, Path as FastAPIPath, Depends +from pydantic import create_model, Field, BaseModel + +from .worker_manager import WorkerManager +from .logger import get_logger + +logger = get_logger("route_generator") + +# 简单类型映射 +TYPE_MAP: Dict[str, Any] = { + "float": float, + "int": int, + "str": str, + "bool": bool, + "any": Any, +} + + +def _parse_python_type(type_str: str) -> Any: + """解析配置中的类型字符串为 Python 类型对象""" + type_str = type_str.strip() + if type_str.startswith("list[") or type_str.startswith("List["): + inner = type_str[5:-1].strip() + inner_type = _parse_python_type(inner) + return List[inner_type] # type: ignore + if type_str.startswith("dict[") or type_str.startswith("Dict["): + inner = type_str[5:-1].strip() + parts = [p.strip() for p in inner.split(",", 1)] + if len(parts) == 2: + key_type = _parse_python_type(parts[0]) + val_type = _parse_python_type(parts[1]) + return Dict[key_type, val_type] # type: ignore + return Dict[str, Any] # type: ignore + return TYPE_MAP.get(type_str, str) + +def generate_request_model( + param_spec: Dict[str, str], model_name: str = "AutoRequest" +) -> type[BaseModel]: + """生成 Pydantic 请求体模型""" + fields: Dict[str, Any] = {} + for param_name, param_type_str in param_spec.items(): + py_type = _parse_python_type(param_type_str) + fields[param_name] = (py_type, Field(...)) + return create_model(model_name, **fields) + +def generate_response_model( + response_spec: Dict[str, Any], model_name: str = "AutoResponse" +) -> Optional[type[BaseModel]]: + """生成 Pydantic 响应模型""" + if not response_spec: + return None + fields: Dict[str, Any] = {} + for field_name, field_spec in response_spec.items(): + if isinstance(field_spec, dict): + py_type = _parse_python_type(field_spec.get("type", "str")) + required = field_spec.get("required", True) + default_val = field_spec.get("default", ...) + if required: + fields[field_name] = (py_type, Field(...)) + else: + fields[field_name] = (py_type, Field(default=default_val if default_val is not ... else None)) + else: + py_type = _parse_python_type(str(field_spec)) + fields[field_name] = (py_type, Field(...)) + return create_model(model_name, **fields) + +class RouteConfig: + """单个路由配置模型""" + + def __init__(self, data: Dict[str, Any]): + self.subject: str = data.get("subject", "") + self.path: str = data.get("path", "") + self.method: str = data.get("method", "GET").upper() + self.params: List[str] = data.get("params", []) + self.response_model: Dict[str, Any] = data.get("response_model", {}) + self.summary: str = data.get("summary", "") + self.docstring: str = data.get("docstring", "") + self.timeout: float = data.get("timeout", 3.0) + self.cacheable: bool = data.get("cacheable", False) + + def parse_params(self) -> Dict[str, str]: + """解析 params 列表为 {name: type} 字典""" + result: Dict[str, str] = {} + for param in self.params: + if ":" in param: + name, type_str = param.split(":", 1) + result[name.strip()] = type_str.strip() + else: + result[param.strip()] = "str" + return result + + def extract_path_params(self) -> List[str]: + """从路径中提取路径参数，如 /add/{a}/{b} -> ['a', 'b']""" + return [ + seg[1:-1] for seg in self.path.split("/") + if seg.startswith("{") and seg.endswith("}") + ] + + +# 默认的 worker 配置目录 +WORKER_CONFIG_DIR = "config/workers" + + +def load_worker_routes_from_dir(worker_type: str) -> List[Dict[str, Any]]: + """ + 从 config/workers/{worker_type}/ 目录加载路由配置。 + + 目录结构: + config/workers/{worker_type}/ + config.toml # [worker] 分组信息 + registration + defaults + add.toml # 接口名 = 文件名（不含扩展名） + [GET] + summary = ... + params = [...] + response_model = { ... } + [POST] + ... # 同一个接口支持多个请求方法 + + 返回: List[Dict], 每个 dict 包含 flatten 后的路由配置, + 每个方法节(如 GET) 生成一个独立的路由条目。 + """ + from pathlib import Path + import tomllib + + base_dir = Path(WORKER_CONFIG_DIR) / worker_type + if not base_dir.is_dir(): + logger.warning(f"Worker 配置目录不存在: {base_dir}") + return [] + + # 1. 读取分组配置 + group_cfg_path = base_dir / "config.toml" + group_defaults: Dict[str, Any] = {} + registration: Dict[str, Any] = {} + router_prefix: str = "" + if group_cfg_path.exists(): + with open(group_cfg_path, "rb") as f: + cfg = tomllib.load(f) + w = cfg.get("worker", {}) + group_defaults = w.get("defaults", {}) + registration = w.get("registration", {}) + router_prefix = registration.get("router_prefix", "") + + # 2. 遍历所有接口 toml 文件 + routes: List[Dict[str, Any]] = [] + for route_file in sorted(base_dir.glob("*.toml")): + if route_file.name == "config.toml": + continue + + # 文件名（不含 .toml）作为路径名 + route_name = route_file.stem # 例如 "add" + base_path = router_prefix + "/" + route_name # 例如 "/calc/add" + + with open(route_file, "rb") as f: + route_data = tomllib.load(f) + + # 每个方法节（GET/POST/PUT/DELETE）生成一个独立路由 + for method, spec in route_data.items(): + if not isinstance(spec, dict): + logger.warning(f"忽略非 dict 的方法节: {route_file.name}[{method}]") + continue + + # 合并: spec 显式字段优先，然后 group_defaults 兜底 + route = dict(spec) + for key, default_val in group_defaults.items(): + if key not in route: + route[key] = default_val + + # 覆盖关键字段 - method 始终从 TOML 节键获取，不被 defaults 覆盖 + route["method"] = method.upper() + route["path"] = route.get("path", base_path) + if "subject" not in route: + # 自动生成 subject: worker_type.route_name (如 "calc.add") + route["subject"] = f"{worker_type}.{route_name}" + + routes.append(route) + logger.debug( + f" 已加载: {route['method']} {route['path']} -> {route['subject']}" + ) + + logger.info(f"从 {base_dir} 加载了 {len(routes)} 个路由") + return routes + + +def register_dynamic_routes(app: FastAPI, worker_manager: WorkerManager, prefix: str = ""): + """根据 config/workers/ 目录结构注册所有动态路由""" + from pathlib import Path + + workers_base = Path(WORKER_CONFIG_DIR) + if not workers_base.is_dir(): + logger.info(f"Worker 配置目录不存在: {WORKER_CONFIG_DIR}") + return + + router = APIRouter(prefix=prefix) + extra_schemas: Dict[str, type[BaseModel]] = {} + + # 扫描所有 worker 子目录（每个子目录名 = worker_type） + for worker_dir in sorted(workers_base.iterdir()): + if not worker_dir.is_dir(): + continue + worker_type = worker_dir.name + routes = load_worker_routes_from_dir(worker_type) + if not routes: + continue + + for route_conf in routes: + _register_single_route(router, worker_manager, worker_type, route_conf, extra_schemas) + + app.include_router(router) + + # 将额外 schema 注册到 OpenAPI 的 components/schemas + if extra_schemas: + _inject_schemas_to_openapi(app, extra_schemas) + + logger.info(f"动态路由注册完成，worker 配置目录: {WORKER_CONFIG_DIR}") + + +def _inject_schemas_to_openapi(app: FastAPI, schemas: Dict[str, type[BaseModel]]): + """ + 将自定义 Pydantic 模型注册到 FastAPI 的 OpenAPI components/schemas 中。 + + 通过重写 app.openapi() 方法注入，因为 FastAPI 在生命周期内只生成一次 + OpenAPI schema，之后会被缓存。 + """ + original_openapi = app.openapi + + def patched_openapi() -> dict[str, Any]: + if app.openapi_schema is not None: + return app.openapi_schema + schema = original_openapi() + if schema is None: + return {"openapi": "3.1.0", "info": {"title": "Chongming", "version": "1.0.0"}, "paths": {}} + # 注入我们的 schema + schemas_dict = schema.setdefault("components", {}).setdefault("schemas", {}) + for name, model in schemas.items(): + if name not in schemas_dict: + schemas_dict[name] = model.model_json_schema() + app.openapi_schema = schema + return schema + + app.openapi = patched_openapi + + +def _make_body_endpoint(worker_manager: WorkerManager, rc: RouteConfig, worker_type: str, RequestModel: type[BaseModel]): + """创建用于 Body 请求（POST/PUT/PATCH）的端点函数""" + path = rc.path + subject = rc.subject + timeout = rc.timeout + http_method = rc.method + cacheable = rc.cacheable + + async def endpoint( + body: RequestModel, # type: ignore + ) -> Any: + try: + payload = body.model_dump() + payload.setdefault("_method", http_method) + result = await worker_manager.call( + worker_type=worker_type, + subject=subject, + payload=payload, + timeout=timeout, + cacheable=cacheable, + ) + return result + except RuntimeError as e: + raise HTTPException(status_code=503, detail=str(e)) + except Exception as e: + logger.error(f"路由 {path} 调用异常: {e}") + raise HTTPException(status_code=500, detail="内部服务器错误") + + return endpoint + + +def _make_query_endpoint(worker_manager: WorkerManager, rc: RouteConfig, worker_type: str, path_params: List[str], query_params: Dict[str, str]): + """ + 创建用于 Query 请求（GET/DELETE）的端点函数。 + + 通过设置函数 __signature__ 和 __annotations__ 为每个参数赋予正确的 Pydantic 类型， + 使 FastAPI 能在 OpenAPI schema 中生成正确的 type / format 信息。 + 请求模型 schema 通过 extra_schemas 机制单独注入到 components/schemas。 + """ + path = rc.path + subject = rc.subject + timeout = rc.timeout + http_method = rc.method + cacheable = rc.cacheable + + # 合并路径参数和查询参数 + param_spec_combined: Dict[str, str] = {} + param_spec_combined.update({k: query_params.get(k, "str") for k in path_params if k in query_params}) + param_spec_combined.update(query_params) + + # 无参数情况 + if not param_spec_combined: + async def _simple_endpoint() -> Any: + try: + result = await worker_manager.call( + worker_type=worker_type, + subject=subject, + payload={"_method": http_method}, + timeout=timeout, + cacheable=cacheable, + ) + return result + except RuntimeError as e: + raise HTTPException(status_code=503, detail=str(e)) + except Exception as e: + logger.error(f"路由 {path} 调用异常: {e}") + raise HTTPException(status_code=500, detail="内部服务器错误") + return _simple_endpoint + + # 构造参数名列表（用于从 kwargs 中提取） + param_names = list(param_spec_combined.keys()) + + async def endpoint(**kwargs: Any) -> Any: + payload = {k: kwargs[k] for k in param_names} + payload.setdefault("_method", http_method) + try: + result = await worker_manager.call( + worker_type=worker_type, + subject=subject, + payload=payload, + timeout=timeout, + cacheable=cacheable, + ) + return result + except RuntimeError as e: + raise HTTPException(status_code=503, detail=str(e)) + except Exception as e: + logger.error(f"路由 {path} 调用异常: {e}") + raise HTTPException(status_code=500, detail="内部服务器错误") + + # 构建带类型注解的 Parameter 列表 + params: List[Parameter] = [] + annotations: Dict[str, Any] = {} + for name, type_str in param_spec_combined.items(): + py_type = _parse_python_type(type_str) + annotations[name] = py_type + if name in path_params: + params.append(Parameter(name, Parameter.KEYWORD_ONLY, default=FastAPIPath(...), annotation=py_type)) + else: + params.append(Parameter(name, Parameter.KEYWORD_ONLY, default=Query(...), annotation=py_type)) + + # 设置 __annotations__（FastAPI 通过 get_type_hints 读取） + endpoint.__annotations__ = annotations + # 设置 __signature__（FastAPI 优先于此获取参数列表） + endpoint.__signature__ = Signature(params, return_annotation=Dict[str, Any]) # type: ignore + + return endpoint + + +def _register_single_route( + router: APIRouter, + worker_manager: WorkerManager, + worker_type: str, + route_conf: Dict[str, Any], + extra_schemas: Optional[Dict[str, type[BaseModel]]] = None, +): + """注册单个路由，生成正确的函数签名以便 OpenAPI 正确生成文档""" + rc = RouteConfig(route_conf) + param_spec = rc.parse_params() + path_params = rc.extract_path_params() + query_params = {k: v for k, v in param_spec.items() if k not in path_params} + + # 生成干净的模型名称（替换路径中的 / 和 {} 为 _） + # 模型名称包含 HTTP method 以区分同名路径的不同调用类型 + clean_path = rc.path.replace("/", "_").replace("{", "").replace("}", "").strip("_") + if not clean_path: + clean_path = "root" + method_tag = rc.method.upper() + response_model_name = f"{worker_type}_{clean_path}_{method_tag}_Response" + request_model_name = f"{worker_type}_{clean_path}_{method_tag}_Request" + + # 生成响应模型 + ResponseModel = generate_response_model( + rc.response_model, response_model_name + ) + + if rc.method in ("POST", "PUT", "PATCH"): + RequestModel = generate_request_model( + param_spec, request_model_name + ) + endpoint = _make_body_endpoint(worker_manager, rc, worker_type, RequestModel) + else: + # 对 GET 端点也生成 Request 模型并注册到 extra_schemas + if param_spec: + RequestModel = generate_request_model( + param_spec, request_model_name + ) + if extra_schemas is not None and request_model_name not in extra_schemas: + extra_schemas[request_model_name] = RequestModel + endpoint = _make_query_endpoint(worker_manager, rc, worker_type, path_params, query_params) + + # 注册路由 - 使用 worker_type 作为 OpenAPI 分组标签 + # 每个 worker 类型自动成为一个独立的分组，显示在 Swagger UI 中 + router.add_api_route( + path=rc.path, + endpoint=endpoint, + methods=[rc.method], + summary=rc.summary, + description=rc.docstring, + response_model=ResponseModel, + tags=[worker_type], + include_in_schema=True, + ) + logger.info(f"已注册动态路由: {rc.method} {rc.path} -> worker {worker_type}.{rc.subject} | tags=[{worker_type}]") diff --git a/src/chongming/app/core/static_files.py b/src/chongming/app/core/static_files.py new file mode 100644 index 0000000..0880cbe --- /dev/null +++ b/src/chongming/app/core/static_files.py @@ -0,0 +1,100 @@ +from fastapi import HTTPException +from fastapi.responses import Response +from fastapi.staticfiles import StaticFiles +from sqlite_vfs.core import SQLiteVFS + + +class SVFSStaticFiles(StaticFiles): + """ + 基于 SQLite VFS 的静态文件服务类 + + 该类继承自 FastAPI 的 StaticFiles，使用 SQLite 虚拟文件系统来存储和提供静态文件。 + 支持单页应用（SPA）的路由回退机制，当请求的文件不存在时，会自动返回 index.html。 + """ + + def __init__(self, directory, vfs_db_path="static.svfs"): + """ + 初始化 SVFSStaticFiles 实例 + + 参数: + directory (str): 静态文件的根目录路径 + vfs_db_path (str): SQLite VFS 数据库文件路径，默认为 "static.svfs" + + 返回值: + 无 + """ + vfs_db_path = vfs_db_path + self._vfs = SQLiteVFS(vfs_db_path, compress=False) + super().__init__(directory=directory) + + async def get_response(self, path: str, scope): + """ + 根据请求路径获取对应的静态文件响应 + + 该方法处理静态文件的请求逻辑，包括： + 1. 路径标准化处理 + 2. 文件存在性检查 + 3. SPA 路由回退支持 + 4. 目录索引处理 + 5. MIME 类型自动识别 + + 参数: + path (str): 请求的文件路径 + scope: ASGI 作用域对象，包含请求上下文信息 + + 返回值: + Response: FastAPI 响应对象，包含文件内容和正确的 Content-Type + + 异常: + HTTPException: 当文件不存在且无法回退到 index.html 时，抛出 404 错误 + """ + # 统一路径格式：以 / 开头，并将 Windows 反斜杠转为正斜杠 + normalized_path = "/" + path.replace("\\", "/") + + # 获取文件信息 + file_info = self._vfs.get_file_info(normalized_path) + + # 处理文件不存在的情况，尝试 SPA 回退机制 + if file_info is None: + # SPA 回退：如果不是静态资源扩展名，尝试返回 index.html + if not any( + normalized_path.endswith(ext) + for ext in [ + ".js", + ".css", + ".png", + ".jpg", + ".ico", + ".svg", + ".webp", + ".json", + ] + ): + index_info = self._vfs.get_file_info("/index.html") + if index_info: + content = self._vfs.read_file("/index.html") + return Response(content=content, media_type="text/html") + raise HTTPException(status_code=404, detail="File not found") + + # 处理目录请求，返回目录下的 index.html + if file_info["is_directory"]: + index_info = self._vfs.get_file_info(f"{normalized_path}/index.html") + if index_info: + content = self._vfs.read_file(f"{normalized_path}/index.html") + return Response(content=content, media_type="text/html") + raise HTTPException(status_code=404, detail="Directory index not found") + + # 读取文件内容并确定 MIME 类型 + content = self._vfs.read_file(normalized_path) + content_type = file_info.get("content_type") or "application/octet-stream" + # 简单根据扩展名补充 MIME 类型（可选） + if normalized_path.endswith(".js"): + content_type = "application/javascript" + elif normalized_path.endswith(".css"): + content_type = "text/css" + elif normalized_path.endswith(".html"): + content_type = "text/html" + elif normalized_path.endswith(".ico"): + content_type = "image/x-icon" + + return Response(content=content, media_type=content_type) diff --git a/src/chongming/app/core/worker_manager.py b/src/chongming/app/core/worker_manager.py new file mode 100644 index 0000000..a6a21cd --- /dev/null +++ b/src/chongming/app/core/worker_manager.py @@ -0,0 +1,202 @@ +import asyncio +import random +import json +import orjson +import time +from typing import Any, Dict, List, Optional, Set +import zenoh +from diskcache import Cache +from .logger import get_logger + +logger = get_logger("worker_manager") + +_SENTINEL = object() # 哨兵值，用于标记"No reply received" + + +class WorkerManager: + """ + 统一 Worker 管理器 + + 封装 Zenoh 会话，维护每个 worker 类型的存活节点列表， + 提供负载均衡、超时重试、缓存等能力的统一 RPC 调用入口。 + + 支持两种 worker 注册方式： + 1. 分布式：通过 Zenoh liveliness 自动发现 + 2. 本地：通过 register_worker() 直接注册（用于同进程 worker） + """ + + def __init__(self, session: zenoh.Session, cache: Optional[Cache] = None): + self.session = session + self.cache = cache + self._workers_cache: Dict[str, List[str]] = {} # type -> list of worker key_exprs + self._local_workers: Dict[str, List[str]] = {} # type -> list of locally registered workers + self._lock = asyncio.Lock() + self._refresh_interval = 15 # seconds + + def register_worker(self, worker_type: str, worker_id: str): + """ + 直接注册一个本地 worker（同进程内使用） + 这样无需等待 liveliness 发现，立即可用。 + + 同步执行（仅修改内存字典），确保调用后立即可被 get_worker 发现。 + """ + key_expr = f"worker/{worker_type}/{worker_id}" + # 同步直接写入 _local_workers，无需异步锁 + # 因为 _local_workers 和 _workers_cache 在调用 call() 时通过 await get_worker() 读取 + self._local_workers.setdefault(worker_type, []).append(key_expr) + logger.debug(f"本地 worker 已注册: {key_expr}") + + def unregister_worker(self, worker_type: str, worker_id: str): + """取消注册一个本地 worker""" + key_expr = f"worker/{worker_type}/{worker_id}" + if worker_type in self._local_workers: + try: + self._local_workers[worker_type].remove(key_expr) + except ValueError: + pass + + async def refresh_workers(self): + """定期刷新存活 worker 列表（合并 Zenoh liveliness + 本地注册）""" + while True: + try: + # 1. 从 Zenoh liveliness 获取分布式 workers + replies = self.session.liveliness().get("worker/*/*") + new_cache: Dict[str, List[str]] = {} + for reply in replies: + if reply.ok: + key = str(reply.ok.key_expr) # e.g. "worker/example/worker-0" + parts = key.split("/") + if len(parts) >= 3: + worker_type = parts[1] + new_cache.setdefault(worker_type, []).append(key) + + # 2. 合并本地注册的 workers + for wtype, workers in self._local_workers.items(): + existing = set(new_cache.get(wtype, [])) + for w in workers: + if w not in existing: + new_cache.setdefault(wtype, []).append(w) + + async with self._lock: + self._workers_cache = new_cache + logger.debug(f"Worker 存活列表更新: {self._workers_cache}") + except Exception as e: + logger.error(f"刷新 worker 列表失败: {e}") + await asyncio.sleep(self._refresh_interval) + + async def get_worker(self, worker_type: str) -> Optional[str]: + """获取一个可用的 worker 地址（简单随机负载均衡）""" + async with self._lock: + workers = self._workers_cache.get(worker_type, []) + # 如果缓存为空，回退到本地注册表（适用于启动初期 refresh_workers 尚未执行时） + if not workers: + local = self._local_workers.get(worker_type, []) + if local: + return random.choice(local) + return None + return random.choice(workers) + + def is_success_response(self, result: dict) -> bool: + """根据业务约定判断响应是否成功。 + 假设成功响应没有 'error' 字段，或 'code' 为 0。 + """ + if "error" in result and result["error"]: + return False + if "code" in result and result["code"] != 0: + return False + return True + + async def call( + self, + worker_type: str, + subject: str, + payload: Dict[str, Any], + timeout: float = 3.0, + retries: int = 1, + cacheable: bool = False, + ) -> Any: + """ + 统一调用入口：缓存 > 负载均衡 > 超时重试 + + Args: + worker_type: Worker 类型标识（如 "example"） + subject: 调用的主题（如 "calc.add"） + payload: 请求参数 + timeout: 单次调用超时（秒） + retries: 失败重试次数 + cacheable: 是否允许缓存结果（若为 False 则跳过缓存读写） + + Returns: + Dict[str, Any]: 调用结果 + + Raises: + RuntimeError: 无可用 worker 或所有重试均失败 + """ + # 1. 缓存检查（仅在 cacheable=True 时检查） + cache_key = f"{worker_type}:{subject}:{json.dumps(payload, sort_keys=True)}" + if cacheable and self.cache is not None: + if cache_key in self.cache: + logger.debug(f"命中缓存: {cache_key}") + return self.cache[cache_key] + + # 2. 获取可用 worker + worker_expr = await self.get_worker(worker_type) + if not worker_expr: + raise RuntimeError(f"No available worker for type {worker_type}") + + full_key = f"{worker_expr}/{subject}" + payload_bytes = orjson.dumps(payload) + + for attempt in range(retries + 1): + try: + reply_iter = self.session.get( + full_key, + payload=payload_bytes, + consolidation=zenoh.ConsolidationMode.NONE, + ) + # 使用辅助函数获取第一个回复，避免 StopIteration 在 asyncio.to_thread 中传播的问题 + def _get_first(iterator): + """线程安全地获取迭代器的第一个元素""" + for item in iterator: + return item + return _SENTINEL + + first_reply = await asyncio.wait_for( + asyncio.to_thread(_get_first, reply_iter), + timeout=timeout, + ) + if first_reply is _SENTINEL: + logger.warning( + f"Worker {worker_expr} 无回复，尝试重试 {attempt+1}/{retries+1}" + ) + continue + + reply = first_reply + if reply.ok: # type: ignore + # result_str = str(reply.ok.payload) + payload_bytes = bytes(reply.ok.payload) if reply.ok.payload else b"" # type: ignore + if not payload_bytes: + result = {} # 或根据业务返回默认值 + else: + result = orjson.loads(payload_bytes) + # 缓存结果（仅在 cacheable=True 时写入） + if cacheable and self.cache is not None and self.is_success_response(result): + self.cache[cache_key] = result + return result + else: + error_payload = reply.err.payload # type: ignore + error_msg = str(error_payload) if error_payload else "unknown error" + logger.warning(f"Worker 返回错误: {error_msg} (尝试 {attempt+1}/{retries+1})") + continue # 重试 + except asyncio.TimeoutError: + logger.warning( + f"Worker {worker_expr} 超时，尝试重试 {attempt+1}/{retries+1}" + ) + continue + except Exception as e: + logger.error(f"调用 worker 异常: {e}") + raise + + raise RuntimeError( + f"Failed to call worker {worker_type} after {retries} retries" + ) diff --git a/src/chongming/app/routes/__init__.py b/src/chongming/app/routes/__init__.py new file mode 100644 index 0000000..acfd551 --- /dev/null +++ b/src/chongming/app/routes/__init__.py @@ -0,0 +1,3 @@ +from .storage import router as storage_router + +__all__ = ["storage_router"] \ No newline at end of file diff --git a/src/chongming/app/routes/storage.py b/src/chongming/app/routes/storage.py new file mode 100644 index 0000000..200fd41 --- /dev/null +++ b/src/chongming/app/routes/storage.py @@ -0,0 +1,63 @@ +# src/chongming/app/routes/storage.py +import uuid +import urllib.parse +from fastapi import APIRouter, UploadFile, File, Form, HTTPException, Request +from fastapi.responses import StreamingResponse +from botocore.exceptions import ClientError + +router = APIRouter(prefix="/api/v1/storage", tags=["Storage"]) + + +@router.post("/upload", summary="上传文件") +async def upload_file( + request: Request, + file: UploadFile = File(...), + worker_type: str = Form(...), +): + """后端代理上传，直接写入 nanio""" + s3_client = request.app.state.s3_client + bucket = request.app.state.storage_bucket + object_key = f"{worker_type}/{uuid.uuid4()}/{file.filename}" + + try: + s3_client.upload_fileobj( + file.file, + bucket, + object_key, + ExtraArgs={"ContentType": file.content_type or "application/octet-stream"} + ) + except ClientError as e: + raise HTTPException(status_code=500, detail=f"S3 上传失败: {str(e)}") + + return { + "file_key": object_key, + "bucket": bucket, + "filename": file.filename, + "content_type": file.content_type, + "size": file.size or 0, # 注意：UploadFile.size 可能为 None，需读取后计算 + } + + +@router.get("/download/{file_key:path}") +async def download_file(request: Request, file_key: str): + s3_client = request.app.state.s3_client + bucket = request.app.state.storage_bucket + + try: + response = s3_client.get_object(Bucket=bucket, Key=file_key) + content_type = response.get('ContentType', 'application/octet-stream') + raw_filename = file_key.split('/')[-1] + # 百分号编码，确保仅 ASCII 字符 + encoded = urllib.parse.quote(raw_filename, safe='') + # 仅使用 filename*（现代浏览器都支持） + content_disposition = f"attachment; filename*=UTF-8''{encoded}" + + return StreamingResponse( + response['Body'].iter_chunks(), + media_type=content_type, + headers={'Content-Disposition': content_disposition} + ) + except ClientError as e: + if e.response['Error']['Code'] == 'NoSuchKey': + raise HTTPException(404, "文件不存在") + raise HTTPException(500, f"下载失败: {e}") \ No newline at end of file diff --git a/src/chongming/scripts/build.py b/src/chongming/scripts/build.py new file mode 100644 index 0000000..fe93548 --- /dev/null +++ b/src/chongming/scripts/build.py @@ -0,0 +1,501 @@ +""" +构建脚本 - 将 chongming 应用打包为可执行文件 + +功能阶段: + 1. 模块打包(module-bank): 加密打包 Python 模块 + 2. 资源准备: 创建 build 目录, 复制必要文件 + 3. 混淆与打包: pyarmor 混淆 + PyInstaller/Nuitka 打包 + 4. 数据库初始化: 创建表结构和默认数据 + 5. 前端构建: 编译 Vue 项目并打包为 VFS + +用法: + python -m chongming.scripts.build [pyinstaller|nuitka] +""" + +import platform +import shutil +import subprocess +import sys +import asyncio +import time +from dataclasses import dataclass, field +from pathlib import Path + +from module_bank import PythonToSQLite +from module_bank.encryption import Encryption +from sqlite_vfs.core import SQLiteVFS +from sqlite_vfs.folder_packer import FolderPacker +from ..app.core.config import get_config, Config + +# ── 常量 ──────────────────────────────────────────────────────────────────── + +PYINSTALLER = "pyinstaller" +NUITKA = "nuitka" +MODES = (PYINSTALLER, NUITKA) + +is_windows = platform.system() == "Windows" + +# ── 构建结果数据结构 ───────────────────────────────────────────────────────── + + +@dataclass +class BuildStepResult: + """单个构建步骤的执行结果""" + + name: str # 步骤名称 + success: bool # 是否成功 + duration: float # 耗时(秒) + message: str = "" # 附加信息(如包大小) + + +@dataclass +class BuildReport: + """构建总结报告""" + + mode: str + start_time: float + end_time: float = 0.0 + steps: list[BuildStepResult] = field(default_factory=list) + + @property + def total_duration(self) -> float: + return self.end_time - self.start_time if self.end_time else 0.0 + + @property + def all_success(self) -> bool: + return all(s.success for s in self.steps) + + def add_step(self, name: str, success: bool, duration: float, message: str = ""): + self.steps.append(BuildStepResult(name, success, duration, message)) + + def print_summary(self): + """打印结构化的构建总结""" + sep = "=" * 60 + print(f"\n{sep}") + print(f" 🏗️ CHONGMING 构建报告") + print(f"{sep}") + print(f" 构建模式 : {self.mode}") + print(f" 总耗时 : {self.total_duration:.2f}s") + print(f" 构建状态 : {'✅ 成功' if self.all_success else '❌ 失败'}") + print(f"{sep}") + print(f" 步骤明细:") + for i, step in enumerate(self.steps, 1): + icon = "✅" if step.success else "❌" + msg = f" ({step.message})" if step.message else "" + print( + f" {icon} [{i}/{len(self.steps)}] {step.name:<20s} {step.duration:>7.2f}s{msg}" + ) + print(f"{sep}\n") + + +# ── 工具函数 ──────────────────────────────────────────────────────────────── + + +def _run_cmd( + cmd: list[str], + cwd: str | None = None, + capture: bool = True, + shell: bool | None = None, +) -> subprocess.CompletedProcess: + """统一执行外部命令""" + if shell is None: + shell = is_windows + return subprocess.run( + cmd, + cwd=cwd, + capture_output=capture, + text=True, + shell=shell, + encoding="utf-8", + errors="replace", + ) + + +def _format_size(path: str | Path) -> str: + """获取文件可读大小""" + size = Path(path).stat().st_size + for unit in ("B", "KB", "MB", "GB"): + if size < 1024: + return f"{size:.2f} {unit}" + size /= 1024.0 + return f"{size:.2f} TB" + + +def _ensure_dir(path: str | Path): + """确保目录存在""" + Path(path).mkdir(parents=True, exist_ok=True) + + +def _resolve_mode() -> str: + """解析构建模式""" + mode = PYINSTALLER + if len(sys.argv) >= 2: + mode = sys.argv[1].lower() + if mode not in MODES: + print(f" ❌ 不支持的构建模式: {mode}，可选: {', '.join(MODES)}") + sys.exit(1) + return mode + + +# ── 阶段 1: 模块打包 (module-bank) ────────────────────────────────────────── + + +def _stage_pack_modules(config: Config) -> str: + """ + 使用 module-bank 加密打包 Python 模块为 .mbank 文件。 + 返回打包过程中的提示信息。 + """ + _ensure_dir("resources") + mbank_list = config.get("production", {}).get("module_system", {}).get("path", []) + if not mbank_list: + return "⚠️ 未配置 module_system.path，跳过模块打包" + + messages = [] + for output_path, source_dir, package_name in mbank_list: + key = Encryption.generate_key() + packer = PythonToSQLite( + output_path, + key, + pyarmor_obfuscate=True, + ) + packer.pack_directory(source_dir, package_name) + packer.verify_package_structure() + packer.packer_key(key) + packer.delete_source_code(None) + size = _format_size(output_path) + messages.append(f"{Path(output_path).name} ({size})") + return " - " + "\n - ".join(messages) + + +def _stage_prepare_build_dir(config: Config, mode: str) -> str: + """准备 build 目录并复制必要文件""" + build_path = Path("build") + if build_path.exists(): + shutil.rmtree(str(build_path)) + _ensure_dir("build") + + # 复制 utils + utils_src = Path("public/utils") + if utils_src.exists(): + shutil.copytree(utils_src, build_path / "utils") + + # 复制 resources + resources_src = Path("resources") + if resources_src.exists(): + shutil.copytree(resources_src, build_path / "resources") + + resources_src = Path("config") + if resources_src.exists(): + shutil.copytree(resources_src, build_path / "config") + + # 复制核心文件 + for f in ("main.py", "server.py", "config.toml"): + shutil.copy(f"public/{f}", f"build/{f}") + + # 注入 JWT 密钥 + jwt_key = Encryption.generate_key() + cfg_path = build_path / "config.toml" + content = cfg_path.read_text(encoding="utf-8") + content = content.replace("your-secret-key-change-in-production", jwt_key) + cfg_path.write_text(content, encoding="utf-8") + + return "资源准备完成" + + +# ── 阶段 3: PyArmor 混淆 ─────────────────────────────────────────────────── + + +def _stage_pyarmor_obfuscate() -> str: + """对关键脚本执行 PyArmor 混淆""" + files = [ + ("main.py", "./"), + ("server.py", "./"), + ("utils/launch.py", "./utils"), + ("utils/config.py", "./utils"), + ] + failed = [] + for filename, output in files: + result = _run_cmd( + ["pyarmor", "gen", f"--output={output}", filename], + cwd="build", + ) + if result.returncode != 0: + failed.append(filename) + if failed: + return f"❌ 混淆失败: {', '.join(failed)}" + return "✅ 所有文件混淆成功" + + +# ── 阶段 4: PyInstaller 打包 ──────────────────────────────────────────────── + + +def _stage_pyinstaller(config: Config) -> tuple[str, str]: + """执行 PyInstaller 打包，返回 (状态消息, 可执行文件路径)""" + base_imports = config.get("pyinstaller_build_import", {}) + build_imports = list(base_imports.get("base", [])) + build_imports.extend( + base_imports.get("windows", []) if is_windows else base_imports.get("linux", []) + ) + + icon = Path("../../public/chongming.ico") + cmd = [ + sys.executable, + "-m", + "PyInstaller", + "--onefile", + "--noconfirm", + "--optimize", + "2", + "--name", + "chongming", + "--distpath", + ".", + "--workpath", + "./build_temp", + "--specpath", + "./specs", + "--clean", + ] + if not is_windows: + cmd.append("--strip") + if icon.exists(): + cmd.extend(["--icon", str(icon)]) + for imp in build_imports: + cmd.extend(["--hidden-import", imp]) + + cmd.append("main.py") + + result = _run_cmd(cmd, cwd="build", capture=True) + if result.returncode != 0: + return f"❌ PyInstaller 失败", "" + + exe_path = Path("build/chongming") + if is_windows: + exe_path = exe_path.with_suffix(".exe") + + suffix = ".exe" if is_windows else "" + exe = Path("build") / f"chongming{suffix}" + if exe.exists(): + size = _format_size(exe) + return f"✅ PyInstaller 打包成功 ({size})", str(exe) + return "✅ PyInstaller 打包完成 (但未找到可执行文件)", "" + + +# ── 阶段 5: Nuitka 打包 ──────────────────────────────────────────────────── + + +def _stage_nuitka(config: Config) -> tuple[str, str]: + """执行 Nuitka 打包，返回 (状态消息, 可执行文件路径)""" + base_imports = config.get("pyinstaller_build_import", {}).get("base", []) + extra = config.get("pyinstaller_build_import", {}).get( + "windows" if is_windows else "linux", [] + ) + + packages = [ + "module_bank", + "sqlite_vfs", + "fastapi", + "uvicorn", + "gunicorn", + "diskcache", + "apscheduler", + "tomli", + "typing_extensions", + ] + + cmd = [ + sys.executable, + "-m", + "nuitka", + "--standalone", + "--onefile", + "--follow-imports", + "--static-libpython=no", + "--remove-output", + "--assume-yes-for-downloads", + "--lto=yes", + "--disable-plugin=tk-inter", + "--disable-plugin=numpy", + "--output-dir=.", + "--output-filename=chongming", + "main.py", + "--jobs=2", + ] + if shutil.which("upx"): + cmd.append("--enable-plugin=upx") + for pkg in packages: + cmd.append(f"--include-package={pkg}") + for mod in list(base_imports) + extra: + cmd.append(f"--include-module={mod}") + + if is_windows: + icon = Path("../../public/chongming.ico") + if icon.exists(): + cmd.append(f"--windows-icon-from-ico={icon}") + + try: + _run_cmd(cmd, cwd="build", capture=False) + except subprocess.CalledProcessError: + # 降级重试（移除可能不兼容的参数） + fallback = [ + arg for arg in cmd if arg not in ("--lto=yes", "--enable-plugin=upx") + ] + _run_cmd(fallback, cwd="build", capture=False) + + exe = Path("build/chongming") + if exe.exists(): + # 后处理瘦身 + if not is_windows: + subprocess.run(["strip", str(exe)], check=False) + if shutil.which("upx"): + subprocess.run(["upx", "--best", str(exe)], check=False) + size = _format_size(exe) + return f"✅ Nuitka 编译完成 ({size})", str(exe) + + return "❌ Nuitka 编译失败 (未生成可执行文件)", "" + + +# ── 阶段 6: 清理临时文件 ──────────────────────────────────────────────────── + + +def _stage_cleanup(mode: str) -> str: + """清理构建过程中的临时文件""" + build = Path("build") + dirs_to_remove = [ + "build_temp", + "specs", + "utils", + "pyarmor_runtime_000000", + "__pycache__", + ] + files_to_remove = ["main.py", "server.py"] + + for d in dirs_to_remove: + target = build / d + if target.exists(): + shutil.rmtree(str(target), ignore_errors=True) + + for f in files_to_remove: + target = build / f + if target.exists(): + target.unlink(missing_ok=True) + + return "临时文件已清理" + +# ── 阶段 8: Vue 前端构建 ──────────────────────────────────────────────────── + + +def _stage_build_vue() -> str: + """构建 Vue 前端并打包为 SQLite VFS""" + dist_dir = "./src/chongming-web/dist" + output_db = "./build/static.svfs" + fs_name = "frontend" + + # 1. npm build + result = _run_cmd( + ["npm", "run", "build"], + cwd="./src/chongming-web", + capture=True, + ) + if result.returncode != 0: + err = (result.stderr or "").strip()[:200] + return f"❌ Vue 构建失败: {err}" + + # 2. 检查产物 + if not Path(dist_dir).exists(): + return "❌ Vue 构建成功但未找到 dist 目录" + + # 3. 打包为 VFS + vfs = SQLiteVFS(output_db, compress=False) + packer = FolderPacker(sqlite_vfs=vfs, exclude_patterns=[], fs_name=fs_name) + try: + packer.pack_folder(dist_dir) + finally: + vfs.close() + + size = _format_size(output_db) + return f"✅ Vue 打包完成 ({size})" + + +# ── 主流程 ────────────────────────────────────────────────────────────────── + + +async def main(): + """规范化构建主流程""" + mode = _resolve_mode() + report = BuildReport(mode=mode, start_time=time.time()) + config = get_config() + + async def run_step(name: str, fn, *args, **kwargs) -> str: + """执行一个构建步骤并记录结果（支持同步和异步函数）""" + start = time.time() + try: + result = fn(*args, **kwargs) + if asyncio.iscoroutine(result): + msg = await result + else: + msg = result + elapsed = time.time() - start + report.add_step(name, success=True, duration=elapsed, message=msg or "") + print(f" ✅ {name:<25s} {elapsed:>7.2f}s {msg}") + return msg + except Exception as e: + elapsed = time.time() - start + err_msg = str(e).strip()[:200] + report.add_step(name, success=False, duration=elapsed, message=err_msg) + print(f" ❌ {name:<25s} {elapsed:>7.2f}s {err_msg}") + return "" + + print("\n" + "=" * 60) + print(" 🏗️ CHONGMING 构建开始") + print(f" 模式: {mode} | 平台: {platform.system()}") + print("=" * 60 + "\n") + + # 阶段 1: 模块打包 + await run_step("模块打包(module-bank)", _stage_pack_modules, config) + + # 阶段 2: 准备构建目录 + await run_step("准备构建目录", _stage_prepare_build_dir, config, mode) + + # 阶段 3+4: 混淆 + 打包 + if mode == PYINSTALLER: + await run_step("PyArmor 混淆", _stage_pyarmor_obfuscate) + start = time.time() + try: + msg, exe_path = _stage_pyinstaller(config) + elapsed = time.time() - start + success = "❌" not in msg + report.add_step( + "PyInstaller 打包", success, elapsed, msg.replace("✅ PyInstaller ", "") + ) + print( + f" {'✅' if success else '❌'} PyInstaller 打包{' ' * 12} {elapsed:>7.2f}s {msg}" + ) + except Exception as e: + elapsed = time.time() - start + report.add_step("PyInstaller 打包", False, elapsed, str(e)[:200]) + print(f" ❌ PyInstaller 打包 {elapsed:>7.2f}s {str(e)[:200]}") + else: + await run_step("Nuitka 编译", lambda: _stage_nuitka(config)[0]) + + # 阶段 5: 清理 + await run_step("清理临时文件", _stage_cleanup, mode) + + # 阶段 7: Vue 前端构建 + await run_step("Vue 前端构建", _stage_build_vue) + + # 总结 + report.end_time = time.time() + report.print_summary() + + if not report.all_success: + sys.exit(1) + + +def build(): + """构建入口""" + asyncio.run(main()) + + +if __name__ == "__main__": + build() diff --git a/src/chongming/scripts/code_content.py b/src/chongming/scripts/code_content.py new file mode 100644 index 0000000..a5e69fc --- /dev/null +++ b/src/chongming/scripts/code_content.py @@ -0,0 +1,47 @@ +import os +import sys + + +def generate_markdown_from_py_files(directory, output_file): + with open(output_file, "w", encoding="utf-8") as md_file: + for root, dirs, files in os.walk(directory): + # 排除 venv 目录 + dirs[:] = [d for d in dirs if d != ".venv"] + dirs[:] = [d for d in dirs if d != ".vscode"] + dirs[:] = [d for d in dirs if d != "node_modules"] + dirs[:] = [d for d in dirs if d != "build"] + dirs[:] = [d for d in dirs if d != "dist"] + dirs[:] = [d for d in dirs if d != "chongming-web"] + for file in files: + if ( + file.endswith(".py") + or file.endswith(".rs") + or file.endswith(".toml") + or file.endswith(".md") + or file.endswith(".css") + or file.endswith(".vue") + or file.endswith(".ts") + or file.endswith(".json") + or file.endswith(".html") + or file.endswith(".sh") + or file == "Dockerfile" + ): + file_path = os.path.join(root, file) + if file == "output.md" or file == "package-lock.json": + continue + if "generated" in file_path: + continue + md_file.write(f"`{file_path}`\n") + md_file.write("```\n") + with open(file_path, "r", encoding="utf-8") as py_file: + md_file.write(py_file.read()) + md_file.write("\n```\n\n") + + +if __name__ == "__main__": + # 指定目录和输出文件名 + target_directory = sys.argv[1] # 替换为你的目标目录 + output_markdown_file = "output.md" # 输出的 Markdown 文件名 + + generate_markdown_from_py_files(target_directory, output_markdown_file) + print(f"Markdown 文件已生成：{output_markdown_file}") diff --git a/src/chongming/scripts/gen_models.py b/src/chongming/scripts/gen_models.py new file mode 100644 index 0000000..77d5983 --- /dev/null +++ b/src/chongming/scripts/gen_models.py @@ -0,0 +1,333 @@ +""" +模型生成脚本 — 从 config/workers//*.toml 生成 Pydantic 模型 + +用法: + uv run gen_models config/workers/example src/plugins/example + +工作流: + 1. 编写 config/workers//*.toml 配置文件 + 2. 执行 gen_models 生成 Pydantic 模型 + 3. 在业务代码中 import 生成的模型 + +功能: + 1. 扫描配置目录下的所有 .toml 文件 + 2. 解析每个路由的 params 和 response_model + 3. 生成 Pydantic 请求/响应模型 + 4. 写入 src/plugins//models/__init__.py 和 models/pydantic.py +""" + +import sys +import json +from pathlib import Path +from typing import Any + + +def parse_type_str(type_str: str) -> str: + """将 TOML 中的类型字符串映射为 Python 类型注解""" + mapping = { + "float": "float", + "int": "int", + "str": "str", + "bool": "bool", + "string": "str", + "integer": "int", + "number": "float", + "boolean": "bool", + "any": "Any", + } + + if type_str.startswith("list[") and type_str.endswith("]"): + inner = type_str[5:-1] + inner_py = mapping.get(inner, inner) + return f"list[{inner_py}]" + + if type_str == "dict": + return "dict[str, Any]" + + if type_str.startswith("dict[") and type_str.endswith("]"): + inner = type_str[5:-1] + if "," in inner: + parts = [p.strip() for p in inner.split(",", 1)] + inner_py = mapping.get(parts[-1], parts[-1]) + else: + inner_py = mapping.get(inner, inner) + return f"dict[str, {inner_py}]" + + if type_str.startswith("Optional[") and type_str.endswith("]"): + inner = type_str[9:-1] + inner_py = mapping.get(inner, inner) + return f"Optional[{inner_py}]" + + return mapping.get(type_str, type_str) + + +def parse_params(params: list[str]) -> list[dict[str, str]]: + """解析 params 列表，如 ['a: float', 'b: float']""" + result = [] + for p in params: + if ":" in p: + name, type_str = p.split(":", 1) + result.append({"name": name.strip(), "type": parse_type_str(type_str.strip())}) + else: + result.append({"name": p.strip(), "type": "str"}) + return result + + +def parse_response_model(response_model: dict[str, Any]) -> list[dict[str, Any]]: + """解析 response_model 字典，返回字段列表""" + fields: list[dict[str, Any]] = [] + for field_name, field_spec in response_model.items(): + entry: dict[str, Any] = {"name": field_name} + if isinstance(field_spec, dict): + entry["type"] = parse_type_str(field_spec.get("type", "str")) + entry["required"] = field_spec.get("required", True) + if "default" in field_spec: + entry["default"] = field_spec["default"] + else: + entry["type"] = parse_type_str(str(field_spec)) + entry["required"] = True + fields.append(entry) + return fields + + +def _model_name(base: str, method: str, suffix: str) -> str: + """生成模型名: e.g. add + GET + Request -> AddGetRequest""" + return f"{base.title().replace('-', '').replace('_', '')}{method.title()}{suffix}" + + +def generate_pydantic_code( + plugin_name: str, + routes: list[dict[str, Any]], +) -> str: + """生成 pydantic.py 文件内容""" + lines = [] + lines.append('"""') + lines.append(f"自动生成的 Pydantic 模型 — {plugin_name}") + lines.append(f"来源: config/workers/{plugin_name}/") + lines.append('"""') + lines.append("") + lines.append("from __future__ import annotations") + lines.append("") + lines.append("from typing import Any, Optional") + lines.append("from pydantic import BaseModel, Field") + lines.append("") + + seen_models: set[str] = set() + + for route in routes: + route_name = route["name"] + method = route["method"] + summary = route.get("summary", "") + + # --- Request Model --- + params = route.get("parsed_params", []) + if params: + model_name = _model_name(route_name, method, "Request") + if model_name not in seen_models: + seen_models.add(model_name) + lines.append(f"class {model_name}(BaseModel):") + lines.append(f' """{summary} — 请求体"""') + for p in params: + lines.append(f" {p['name']}: {p['type']} = Field(...)") + lines.append("") + + # --- Response Model --- + response_fields = route.get("parsed_response", []) + if response_fields: + model_name = _model_name(route_name, method, "Response") + if model_name not in seen_models: + seen_models.add(model_name) + lines.append(f"class {model_name}(BaseModel):") + lines.append(f' """{summary} — 响应体"""') + for f in response_fields: + field_type = f["type"] + if f.get("required", True): + if "default" in f: + default_repr = ( + json.dumps(f["default"]) + if not isinstance(f["default"], str) + else f"'{f['default']}'" + ) + lines.append(f" {f['name']}: {field_type} = Field(default={default_repr})") + else: + lines.append(f" {f['name']}: {field_type} = Field(...)") + else: + if "default" in f: + default_repr = ( + json.dumps(f["default"]) + if not isinstance(f["default"], str) + else f"'{f['default']}'" + ) + lines.append(f" {f['name']}: Optional[{field_type}] = Field(default={default_repr})") + else: + lines.append(f" {f['name']}: Optional[{field_type}] = Field(default=None)") + lines.append("") + + # --- Union type for all responses --- + response_models = [m for m in seen_models if m.endswith("Response")] + if response_models: + plugin_title = plugin_name.title().replace("-", "").replace("_", "") + lines.append("") + lines.append("# 所有响应模型的联合类型") + lines.append(f"{plugin_title}Response = " + " | ".join(response_models)) + lines.append("") + + return "\n".join(lines) + + +def generate_init_code( + plugin_name: str, + routes: list[dict[str, Any]], +) -> str: + """生成 __init__.py 文件内容""" + lines = [] + lines.append('"""') + lines.append(f"模型导出 — {plugin_name}") + lines.append("自动生成，请勿手动修改") + lines.append('"""') + lines.append("") + + seen_models: set[str] = set() + for route in routes: + rname = route["name"] + method = route["method"] + if route.get("parsed_params"): + seen_models.add(_model_name(rname, method, "Request")) + if route.get("parsed_response"): + seen_models.add(_model_name(rname, method, "Response")) + + response_models = [m for m in seen_models if m.endswith("Response")] + if response_models: + plugin_title = plugin_name.title().replace("-", "").replace("_", "") + seen_models.add(f"{plugin_title}Response") + + for model_name in sorted(seen_models): + lines.append(f"from .pydantic import {model_name}") + + lines.append("") + lines.append("__all__ = [") + for model_name in sorted(seen_models): + lines.append(f' "{model_name}",') + lines.append("]") + lines.append("") + + return "\n".join(lines) + + +def scan_config_dir(config_dir: Path) -> list[dict[str, Any]]: + """扫描配置目录，解析所有 .toml 文件中的路由定义""" + import tomli + + routes = [] + toml_files = sorted(config_dir.glob("*.toml")) + + group_config = {} + config_file = config_dir / "config.toml" + if config_file.exists(): + with open(config_file, "rb") as f: + group_config = tomli.load(f) + + defaults = group_config.get("worker", {}).get("defaults", {}) + router_prefix = ( + group_config.get("worker", {}) + .get("registration", {}) + .get("router_prefix", "") + ) + + for toml_file in toml_files: + if toml_file.name == "config.toml": + continue + + with open(toml_file, "rb") as f: + data = tomli.load(f) + + route_name = toml_file.stem + + for method in ("GET", "POST", "PUT", "DELETE", "PATCH"): + if method not in data: + continue + + entry = data[method] + params_raw = entry.get("params", []) + response_raw = entry.get("response_model", {}) + + route = { + "name": route_name, + "method": method, + "summary": entry.get("summary", ""), + "docstring": entry.get("docstring", ""), + "params": params_raw, + "response_model": response_raw, + "parsed_params": parse_params(params_raw), + "parsed_response": parse_response_model(response_raw), + "path": entry.get("path", f"{router_prefix}/{route_name}"), + "timeout": entry.get("timeout", defaults.get("timeout", 3.0)), + "auth_required": entry.get("auth_required", defaults.get("auth_required", False)), + } + routes.append(route) + + return routes + + +def main(): + if len(sys.argv) < 3: + print("用法: uv run gen_models ") + print("示例:") + print(" uv run gen_models config/workers/example src/plugins/example") + sys.exit(1) + + config_dir = Path(sys.argv[1]) + plugin_dir = Path(sys.argv[2]) + plugin_name = plugin_dir.name + + if not config_dir.exists(): + print(f"❌ 配置目录不存在: {config_dir}") + sys.exit(1) + if not plugin_dir.exists(): + print(f"❌ 插件目录不存在: {plugin_dir}") + sys.exit(1) + + print(f"🔍 扫描配置目录: {config_dir}") + routes = scan_config_dir(config_dir) + print(f" 发现 {len(routes)} 个路由定义") + + if not routes: + print("⚠️ 未找到路由定义，跳过模型生成") + return + + models_dir = plugin_dir / "models" + models_dir.mkdir(parents=True, exist_ok=True) + + pydantic_code = generate_pydantic_code(plugin_name, routes) + pydantic_file = models_dir / "pydantic.py" + pydantic_file.write_text(pydantic_code, encoding="utf-8") + print(f"✅ 生成: {pydantic_file}") + + init_code = generate_init_code(plugin_name, routes) + init_file = models_dir / "__init__.py" + init_file.write_text(init_code, encoding="utf-8") + print(f"✅ 生成: {init_file}") + + print(f"\n📋 生成的模型:") + for route in routes: + method = route["method"] + name = route["name"] + params = route.get("parsed_params", []) + response = route.get("parsed_response", []) + if params: + req_model = _model_name(name, method, "Request") + param_strs = [f"{p['name']}: {p['type']}" for p in params] + print(f" 📥 {req_model}: {', '.join(param_strs)}") + if response: + resp_model = _model_name(name, method, "Response") + field_strs = [f"{f['name']}: {f['type']}" for f in response] + print(f" 📤 {resp_model}: {', '.join(field_strs)}") + + +def gen_models(): + """CLI 入口""" + main() + + +if __name__ == "__main__": + main() diff --git a/test.mp4 b/test.mp4 new file mode 100644 index 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