fix: 启动器场景优先读内置的yaml

deploy/OneDragon-Launcher.spec

@@ -5,7 +5,10 @@ a = Analysis(
     ['..\\src\\zzz_od\\win_exe\\launcher.py'],
     pathex=[],
     binaries=[],
-    datas=[],
+    datas=[
+        ('../config/project.yml', 'resources/config'),
+        ('../config/repository.yml', 'resources/config'),
+    ],
     hiddenimports=['_cffi_backend'],
     hookspath=[],
     hooksconfig={},

docs/develop/README.md

@@ -86,7 +86,7 @@ uv run pyinstaller --noconfirm --clean "OneDragon-Installer.spec"
 
 ### 3.2.启动器（原始）
 
-使用spec打包，会自动生成种子文件
+使用 spec 打包。`project.yml` 和 `repository.yml` 会随启动器写入 `resources/config`；原始启动器创建环境上下文时显式开启包内配置优先，其他入口仍读取仓库配置。
 
 ```shell
 uv run pyinstaller --noconfirm --clean "OneDragon-Launcher.spec"

src/one_dragon/base/config/yaml_config.py

@@ -15,7 +15,8 @@ def __init__(
             sub_dir: list[str] | None = None,
             sample: bool = False, copy_from_sample: bool = False,
             read_sample_only: bool = False,
-            is_mock: bool = False
+            is_mock: bool = False,
+            prefer_bundled_config: bool = False,
     ):
         self.instance_idx: int | None = instance_idx
         """传入时 该配置为一个的脚本实例独有的配置"""
@@ -32,6 +33,9 @@ def __init__(
         self.is_mock: bool = is_mock
         """mock情况下 不读取文件 也不会实际保存 用于测试"""
 
+        self._prefer_bundled_config: bool = prefer_bundled_config
+        """是否优先读取 PyInstaller 包内的配置"""
+
         self._sample: bool = sample
         """是否有sample文件"""
 
@@ -68,6 +72,15 @@ def _get_yaml_file_paths(self) -> tuple[str | None, str | None, str | None]:
         if self._read_sample_only and os.path.exists(sample_yml_path):
             return sample_yml_path, sample_yml_path, None
 
+        if self._prefer_bundled_config:
+            resource_path = os_utils.get_resource_path(
+                *sub_dir,
+                f'{self.module_name}.yml',
+                prefer_bundled=True,
+            )
+            if resource_path != yml_path and os.path.exists(resource_path):
+                return resource_path, yml_path, resource_path
+
         # 指定文件存在时 直接使用
         if os.path.exists(yml_path):
             return yml_path, yml_path, None

src/one_dragon/base/operation/one_dragon_env_context.py

@@ -14,26 +14,31 @@
 
 class OneDragonEnvContext:
 
-    def __init__(self):
+    def __init__(self, prefer_bundled_config: bool = False) -> None:
         """
         存项目和环境信息的
         安装器可以使用这个减少引入依赖
         """
         self.installer_dir: str | None = None
+        self._prefer_bundled_config: bool = prefer_bundled_config
 
     #------------------- 需要懒加载的都使用 @cached_property -------------------#
 
     @cached_property
-    def project_config(self):
-        return ProjectConfig()
+    def project_config(self) -> ProjectConfig:
+        return ProjectConfig(
+            prefer_bundled_config=self._prefer_bundled_config,
+        )
 
     @cached_property
     def env_config(self):
         return EnvConfig(self.repo_config)
 
     @cached_property
     def repo_config(self) -> RepoConfig:
-        return RepoConfig()
+        return RepoConfig(
+            prefer_bundled_config=self._prefer_bundled_config,
+        )
 
     @cached_property
     def download_service(self):

src/one_dragon/devtools/python_launcher.py

@@ -331,7 +331,7 @@ def run_python(app_path, no_windows: bool = True, args: list[str] | None = None,
         print_message(f"OneDragon 启动器 {__version__}", "INFO")
         cwd = verify_working_directory()
         from one_dragon.base.operation.one_dragon_env_context import OneDragonEnvContext
-        ctx = OneDragonEnvContext()
+        ctx = OneDragonEnvContext(prefer_bundled_config=True)
         configure_environment(ctx, cwd)
         fetch_latest_code(ctx)
         sync_dependencies(ctx)

src/one_dragon/envs/project_config.py

@@ -3,8 +3,12 @@
 
 class ProjectConfig(YamlConfig):
 
-    def __init__(self):
-        YamlConfig.__init__(self, module_name='project')
+    def __init__(self, prefer_bundled_config: bool = False) -> None:
+        YamlConfig.__init__(
+            self,
+            module_name='project',
+            prefer_bundled_config=prefer_bundled_config,
+        )
 
         self.project_name = self.get('project_name')
         self.python_version = self.get('python_version')

src/one_dragon/envs/repo_config.py

@@ -100,8 +100,12 @@ class RepoConfig(YamlConfig):
     AUTO_REPOSITORY_VALUE = 'auto'
     _SOURCE_EXCLUDED_KEYS = {'repositories', 'regions'}
 
-    def __init__(self) -> None:
-        YamlConfig.__init__(self, module_name='repository')
+    def __init__(self, prefer_bundled_config: bool = False) -> None:
+        YamlConfig.__init__(
+            self,
+            module_name='repository',
+            prefer_bundled_config=prefer_bundled_config,
+        )
         repository_config = self._get_repository_config()
         primary_branch = repository_config.get('primary_branch', '')
         if not isinstance(primary_branch, str) or not primary_branch.strip():

src/one_dragon/utils/os_utils.py

@@ -34,18 +34,29 @@ def get_path_under_work_dir(*sub_paths: str) -> str:
     return join_dir_path_with_mk(get_work_dir(), *sub_paths)
 
 
-def get_resource_path(*sub_paths: str) -> str:
+def get_resource_path(
+        *sub_paths: str,
+        prefer_bundled: bool = False,
+) -> str:
     """获取资源文件路径。
 
-    优先查找工作目录下的路径，不存在时回退到 PyInstaller _MEIPASS。
+    默认优先查找工作目录下的路径，不存在时回退到 PyInstaller _MEIPASS。
+    ``prefer_bundled`` 开启时交换两者的优先级。
     """
     work_path = os.path.join(get_work_dir(), *sub_paths)
+    runtime_dir = getattr(sys, '_MEIPASS', None)
+    bundled_path = (
+        os.path.join(runtime_dir, 'resources', *sub_paths)
+        if runtime_dir is not None
+        else None
+    )
+
+    if prefer_bundled and bundled_path is not None and os.path.exists(bundled_path):
+        return bundled_path
     if os.path.exists(work_path):
         return work_path
-    if hasattr(sys, '_MEIPASS'):
-        mei_path = os.path.join(sys._MEIPASS, 'resources', *sub_paths)
-        if os.path.exists(mei_path):
-            return mei_path
+    if bundled_path is not None and os.path.exists(bundled_path):
+        return bundled_path
     return work_path