Ponysearch/searx/engines/piped.py

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