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