orrisroot
36cad6db52
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.
34 lines
937 B
Python
34 lines
937 B
Python
from typing import Final
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from pydantic import TypeAdapter
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from pydantic.dataclasses import dataclass
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from mdrsclient.api.base import BaseApi
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from mdrsclient.api.utils import token_check
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from mdrsclient.models.doi import Doi
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@dataclass(frozen=True)
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class DoiRetrieveFolderRef:
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id: str
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@dataclass(frozen=True)
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class DoiRetrieveResponse:
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id: str
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doi: str
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folder: DoiRetrieveFolderRef
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class DoiApi(BaseApi):
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ENTRYPOINT: Final[str] = "v3/doi/"
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def retrieve(self, doi_id: str) -> Doi:
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"""Retrieve the folder associated with a DOI suffix ID (GET v3/doi/{id}/)."""
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url = self.ENTRYPOINT + doi_id + "/"
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token_check(self.connection)
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response = self.connection.get(url)
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self._raise_response_error(response)
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api_resp = TypeAdapter(DoiRetrieveResponse).validate_python(response.json())
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return Doi(id=api_resp.id, doi=api_resp.doi, folder_id=api_resp.folder.id)
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