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/upload.py

@@ -49,11 +49,22 @@ class UploadCommand(BaseCommand):
 
     @classmethod
     def upload(cls, local_path: str, remote_path: str, is_recursive: bool, is_skip_if_exists: bool) -> None:
+        remote = remote_path.split(":", 1)[0] if ":" in remote_path else ""
+        from mdrsclient.client import MdrsClient
+
+        client = MdrsClient.from_remote(remote)
+        client.upload(local_path, remote_path, is_recursive, is_skip_if_exists)
+        return
+
+    @classmethod
+    def _upload_logic(
+        cls, connection, local_path: str, remote_path: str, is_recursive: bool, is_skip_if_exists: bool
+    ) -> None:
         remote, laboratory_name, r_path = cls._parse_remote_host_with_path(remote_path)
         l_path = os.path.abspath(local_path)
         if not os.path.exists(l_path):
             raise IllegalArgumentException(f"File or directory `{local_path}` not found.")
-        connection = cls._create_connection(remote)
+
         laboratory = cls._find_laboratory(connection, laboratory_name)
         folder = cls._find_folder(connection, laboratory, r_path)
         files = cls._find_files(connection, folder.id)