refactor: extract MdrsClient service layer for library portability

To improve the tool's portability as a Python library, the core logic
has been decoupled from the CLI interface. This allows developers to
programmatically interact with MDRS without relying on CLI-specific
argument parsing or local file-based caches.

- Introduce `MdrsClient` service layer to handle core operations.
- Abstract authentication state using `CacheInterface` and `InMemoryCache`.
- Migrate all CLI commands to utilize `MdrsClient` for execution.
- Separate `Doi` data model from API responses and move to `models/doi.py`.
- Update `README.md` to include Python API usage examples.
- Bump package version to 1.3.17.

mdrsclient/commands/chacl.py

@@ -31,10 +31,8 @@ class ChaclCommand(BaseCommand):
 
     @classmethod
     def chacl(cls, remote_path: str, access_level: int, is_recursive: bool, password: str | None) -> None:
-        remote, laboratory_name, r_path = cls._parse_remote_host_with_path(remote_path)
-        r_path = r_path.rstrip("/")
-        connection = cls._create_connection(remote)
-        laboratory = cls._find_laboratory(connection, laboratory_name)
-        folder = cls._find_folder(connection, laboratory, r_path)
-        folder_api = FoldersApi(connection)
-        folder_api.acl(folder.id, access_level, is_recursive, password)
+        remote = remote_path.split(":", 1)[0] if ":" in remote_path else ""
+        from mdrsclient.client import MdrsClient
+
+        client = MdrsClient.from_remote(remote)
+        client.chacl(remote_path, access_level, is_recursive, password)