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5 Commits

Author SHA1 Message Date
Feraidoon Mehri
92fbfc767b
Merge 4bc859b336 into 52c0ffe40a 2024-11-17 09:25:29 +05:30
NightMachinery
4bc859b336
[underline] Removed debugging code 2022-12-06 14:06:20 +03:30
NightMachinery
93a079d865
[underline] Added slide_info to info_dict 2022-12-06 07:30:19 +03:30
NightMachinery
2cb546cf8e
[underline] Add extractor 2022-12-06 07:02:02 +03:30
NightMachinery
ebab01bb73
[underline] Add extractor (draft) 2022-12-06 06:59:04 +03:30
2 changed files with 93 additions and 0 deletions

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@ -2257,6 +2257,7 @@ from .ufctv import (
from .ukcolumn import UkColumnIE from .ukcolumn import UkColumnIE
from .uktvplay import UKTVPlayIE from .uktvplay import UKTVPlayIE
from .umg import UMGDeIE from .umg import UMGDeIE
from .underline import UnderlineIE
from .unistra import UnistraIE from .unistra import UnistraIE
from .unity import UnityIE from .unity import UnityIE
from .unsupported import ( from .unsupported import (

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@ -0,0 +1,92 @@
from .common import InfoExtractor
def gen_dict_extract(var, key):
if hasattr(var, "items"):
for k, v in var.items():
if k == key:
yield v
if isinstance(v, dict):
for result in gen_dict_extract(v, key):
yield result
elif isinstance(v, list):
for d in v:
for result in gen_dict_extract(d, key):
yield result
class UnderlineIE(InfoExtractor):
_VALID_URL = r"https?://(?:www\.)?underline\.io/events/(?P<id>[^?]+).*"
_TESTS = [
{
"params": {
"skip_download": True, # needs cookies
},
"url": "https://underline.io/events/342/posters/12863/poster/66463-mbti-personality-prediction-approach-on-persian-twitter?tab=video",
"md5": "md5:eaa894161adaef6efd6008681e1cd2c5",
# md5 sum of the first 10241 bytes of the video file (use --test)
"info_dict": {
"id": "342/posters/12863/poster/66463-mbti-personality-prediction-approach-on-persian-twitter",
"ext": "mp4",
"title": (
"MBTI Personality Prediction Approach on Persian Twitter"
),
"slide_info": [
{
"url": "https://assets.underline.io/lecture/66463/slideshow/b236b5cfb38966a761a5443bf47fbdf9.pdf",
"filename": "Personality-Prediction-WINLP-slides.pdf",
"size": 780319,
}
],
},
}
]
def _real_extract(self, url):
video_id = self._match_id(url)
webpage = self._download_webpage(url, video_id)
webpage_info = self._search_json(
r'<script\s+id="__NEXT_DATA__"\s+type="application/json">',
webpage,
"idk_what_this_arg_does",
video_id,
end_pattern=r"</script>",
)
title = list(gen_dict_extract(webpage_info, "title"))
if len(title) == 0:
title = None
else:
title = title[0]
playlist_urls = list(gen_dict_extract(webpage_info, "playlist"))
if len(playlist_urls) == 0:
url = None
else:
url = playlist_urls[0]
formats = []
m3u8_url = url
if m3u8_url:
formats.extend(
self._extract_m3u8_formats(
m3u8_url,
video_id,
ext="mp4",
entry_protocol="m3u8_native",
)
)
slide_info = list(gen_dict_extract(webpage_info, "slideshow"))
return {
"id": video_id,
"title": title,
"formats": formats,
"slide_info": slide_info,
}