65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
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import typing as t
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from requests import Session
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from .models import BasePipedModel
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from .models.comments import Comments
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_MDL = t.TypeVar('_MDL', bound=BasePipedModel)
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class PipedClient:
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"""
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An API client for [Piped](https://piped.kavin.rocks).
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"""
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def __init__(self, base_api_url: str='https://pipedapi.kavin.rocks', session: t.Type[Session]=Session()) -> None:
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"""
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### Parameters:
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- `base_api_url` - The base URL to the instance's API. Trailing slashes will be stripped.
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- `session` - A class/subclass of `requests.Session` to use for all requests.
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For example, you could use [requests-cache](https://pypi.org/project/requests-cache/) to make all requests cacheable.
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"""
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self.base_api_url = base_api_url.strip("/")
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self.session = session
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def _get_json(self, uri: str, as_model: t.Optional[_MDL]=None, **kwargs) -> t.Union[_MDL, t.Dict[str, t.Any]]:
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"""
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Obtains JSON data from specific URI of the Piped API.
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### Parameters:
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- `uri` - The URI to get JSON data from
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- `as_model` - The `BasePipedModel` to load the JSON data into. If this is `None`, the JSON data is returned as a `dict`.
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- `**kwargs` - Additional keyword arguments to pass to `requests.Session.get`
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"""
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json = self.session.get(f"{self.base_api_url}{uri}", **kwargs).json()
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if as_model is not None:
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return as_model(json)
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return json
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def get_comments(self, video_id: str, nextpage: t.Optional[t.Dict[str, t.Optional[str]]]=None) -> Comments:
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"""
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Gets a list of comments for a specific video.
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### Parameters:
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- `video_id` - The ID of the video to get comments for
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- `nextpage` - Nextpage data, obtained from `.models.comments.Comments.nextpage` property. If this is `None`, the first page of comments is returned.
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There are often 20 comments per page.
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"""
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if nextpage is not None:
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return self._get_json(f"/nextpage/comments/{video_id}", Comments, params={"nextpage": nextpage})
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else:
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return self._get_json(f"/comments/{video_id}", Comments)
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