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https://github.com/searxng/searxng.git
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167 lines
4.6 KiB
Python
167 lines
4.6 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""An alternative privacy-friendly YouTube frontend which is efficient by
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design. `Piped’s architecture`_ consists of 3 components:
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- :py:obj:`backend <backend_url>`
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- :py:obj:`frontend <frontend_url>`
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- proxy
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.. _Piped’s architecture: https://docs.piped.video/docs/architecture/
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Configuration
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=============
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The :py:obj:`backend_url` and :py:obj:`frontend_url` has to be set in the engine
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named `piped` and are used by all piped engines
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.. code:: yaml
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- name: piped
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engine: piped
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piped_filter: videos
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...
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frontend_url: https://..
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backend_url:
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- https://..
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- https://..
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- name: piped.music
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engine: piped
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network: piped
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shortcut: ppdm
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piped_filter: music_songs
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...
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Known Quirks
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============
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The implementation to support :py:obj:`paging <searx.enginelib.Engine.paging>`
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is based on the *nextpage* method of Piped's REST API / the :py:obj:`frontend
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API <frontend_url>`. This feature is *next page driven* and plays well with the
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:ref:`infinite_scroll <settings ui>` setting in SearXNG but it does not really
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fit into SearXNG's UI to select a page by number.
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Implementations
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===============
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"""
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from __future__ import annotations
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import time
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import random
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from urllib.parse import urlencode
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import datetime
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from dateutil import parser
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# about
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about = {
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"website": 'https://github.com/TeamPiped/Piped/',
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"wikidata_id": 'Q107565255',
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"official_api_documentation": 'https://docs.piped.video/docs/api-documentation/',
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"use_official_api": True,
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"require_api_key": False,
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"results": 'JSON',
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}
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# engine dependent config
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categories = []
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paging = True
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# search-url
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backend_url: list | str = "https://pipedapi.kavin.rocks"
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"""Piped-Backend_: The core component behind Piped. The value is an URL or a
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list of URLs. In the latter case instance will be selected randomly. For a
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complete list of official instances see Piped-Instances (`JSON
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<https://piped-instances.kavin.rocks/>`__)
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.. _Piped-Instances: https://github.com/TeamPiped/Piped/wiki/Instances
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.. _Piped-Backend: https://github.com/TeamPiped/Piped-Backend
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"""
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frontend_url: str = "https://piped.video"
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"""Piped-Frontend_: URL to use as link and for embeds.
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.. _Piped-Frontend: https://github.com/TeamPiped/Piped
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"""
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piped_filter = 'all'
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"""Content filter ``music_songs`` or ``videos``"""
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def _backend_url() -> str:
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from searx.engines import engines # pylint: disable=import-outside-toplevel
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url = engines['piped'].backend_url # type: ignore
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if isinstance(url, list):
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url = random.choice(url)
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return url
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def _frontend_url() -> str:
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from searx.engines import engines # pylint: disable=import-outside-toplevel
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return engines['piped'].frontend_url # type: ignore
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def request(query, params):
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args = {
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'q': query,
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'filter': piped_filter,
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}
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path = "/search"
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if params['pageno'] > 1:
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# don't use nextpage when user selected to jump back to page 1
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nextpage = params['engine_data'].get('nextpage')
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if nextpage:
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path = "/nextpage/search"
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args['nextpage'] = nextpage
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params["url"] = _backend_url() + f"{path}?" + urlencode(args)
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return params
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def response(resp):
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results = []
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json = resp.json()
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for result in json["items"]:
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# note: piped returns -1 for all upload times when filtering for music
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uploaded = result.get("uploaded", -1)
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item = {
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# the api url differs from the frontend, hence use piped.video as default
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"url": _frontend_url() + result.get("url", ""),
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"title": result.get("title", ""),
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"publishedDate": parser.parse(time.ctime(uploaded / 1000)) if uploaded != -1 else None,
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"iframe_src": _frontend_url() + '/embed' + result.get("url", ""),
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}
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if piped_filter == 'videos':
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item["template"] = "videos.html"
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# if the value of shortDescription set, but is None, return empty string
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item["content"] = result.get("shortDescription", "") or ""
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item["thumbnail"] = result.get("thumbnail", "")
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elif piped_filter == 'music_songs':
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item["template"] = "default.html"
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item["img_src"] = result.get("thumbnail", "")
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item["content"] = result.get("uploaderName", "") or ""
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length = result.get("duration")
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if length:
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item["length"] = datetime.timedelta(seconds=length)
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results.append(item)
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results.append(
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{
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"engine_data": json["nextpage"],
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"key": "nextpage",
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}
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)
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return results
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