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.
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@@ -9,7 +9,7 @@ from requests_toolbelt.multipart.encoder import MultipartEncoder
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from typing_extensions import Unpack
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from mdrsclient.__version__ import __version__
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from mdrsclient.cache import CacheFile
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from mdrsclient.cache import CacheFile, CacheInterface
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from mdrsclient.exceptions import MissingConfigurationException
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from mdrsclient.models import Laboratories, Token, User
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@@ -39,14 +39,14 @@ class MDRSConnection:
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url: str
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session: Session
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lock: threading.Lock
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__cache: CacheFile
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__cache: CacheInterface
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def __init__(self, remote: str, url: str) -> None:
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def __init__(self, remote: str, url: str, cache: CacheInterface | None = None) -> None:
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super().__init__()
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self.url = url
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self.session = Session()
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self.lock = threading.Lock()
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self.__cache = CacheFile(remote)
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self.__cache = cache if cache is not None else CacheFile(remote)
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self.__prepare_headers()
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def get(self, url: str, **kwargs: Unpack[_KwArgsMDRSConnectionGet]) -> Response:
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