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authorAnthony Weems <amlweems@gmail.com>2014-02-25 14:44:34 -0600
committerAnthony Weems <amlweems@gmail.com>2014-02-25 14:44:34 -0600
commit151bae3566d8b4a1c36ed3a368c515bd1349d2b6 (patch)
tree01b6c804aecd495bee15bd479e0c619af795ed09 /youtube_dl/extractor
parent1d430674c7ad8341d2025f43f93c4f582d1f92ea (diff)
Add support for ocw.mit.edu video lectures
Diffstat (limited to 'youtube_dl/extractor')
-rw-r--r--youtube_dl/extractor/__init__.py2
-rw-r--r--youtube_dl/extractor/mit.py54
2 files changed, 55 insertions, 1 deletions
diff --git a/youtube_dl/extractor/__init__.py b/youtube_dl/extractor/__init__.py
index 8eff3df41..ee081b1f3 100644
--- a/youtube_dl/extractor/__init__.py
+++ b/youtube_dl/extractor/__init__.py
@@ -137,7 +137,7 @@ from .malemotion import MalemotionIE
from .mdr import MDRIE
from .metacafe import MetacafeIE
from .metacritic import MetacriticIE
-from .mit import TechTVMITIE, MITIE
+from .mit import TechTVMITIE, MITIE, OCWMITIE
from .mixcloud import MixcloudIE
from .mpora import MporaIE
from .mofosex import MofosexIE
diff --git a/youtube_dl/extractor/mit.py b/youtube_dl/extractor/mit.py
index 76b717fe5..7c40cb8bd 100644
--- a/youtube_dl/extractor/mit.py
+++ b/youtube_dl/extractor/mit.py
@@ -3,6 +3,7 @@ import json
from .common import InfoExtractor
from ..utils import (
+ compat_urlparse,
clean_html,
get_element_by_id,
)
@@ -81,3 +82,56 @@ class MITIE(TechTVMITIE):
embed_url = self._search_regex(r'<iframe .*?src="(.+?)"', webpage,
u'embed url')
return self.url_result(embed_url, ie='TechTVMIT')
+
+class OCWMITIE(InfoExtractor):
+ IE_NAME = u'ocw.mit.edu'
+ _VALID_URL = r'^http://ocw\.mit\.edu/courses/(?P<topic>[a-z0-9\-]+)'
+ _BASE_URL = u'http://ocw.mit.edu/'
+
+ _TESTS = [
+ {
+ u'url': u'http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/video-lectures/lecture-7-multiple-variables-expectations-independence/',
+ u'md5': u'348bef727b573c0bd9ad8a7c08c89ebd',
+ u'info_dict': {
+ u'title': u'7. Discrete Random Variables III',
+ u'description': u'In this lecture, the professor discussed multiple random variables, expectations, and binomial distribution.',
+ u'subtitles': u'http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/video-lectures/lecture-7-multiple-variables-expectations-independence/MIT6_041F11_lec07_300k.mp4.srt'
+ }
+ },
+ {
+ u'url': u'http://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/1.-differentiation/part-a-definition-and-basic-rules/session-1-introduction-to-derivatives/',
+ u'md5': u'f4a434f08f15e581eb67cec0b57bcf6f',
+ u'info_dict': {
+ u'title': u'Lec 1 _ MIT 18.01 Single Variable Calculus, Fall 2007',
+ u'subtitles': u'http://ocw.mit.edu//courses/mathematics/18-01sc-single-variable-calculus-fall-2010/ocw-18.01-f07-lec01_300k.SRT'
+ }
+ }
+ ]
+
+ def _real_extract(self, url):
+ webpage = self._download_webpage(url, self.IE_NAME)
+ title = self._html_search_meta(u'WT.cg_s', webpage)
+ description = self._html_search_meta(u'Description', webpage)
+
+ # search for call to ocw_embed_chapter_media(container_id, media_url, provider, page_url, image_url, start, stop, captions_file)
+ embed_chapter_media = re.search(r'ocw_embed_chapter_media\((.+?)\)', webpage)
+ if embed_chapter_media:
+ metadata = re.sub(r'[\'"]', u'', embed_chapter_media.group(1))
+ metadata = re.split(r', ?', metadata)
+ yt = metadata[1]
+ subs = compat_urlparse.urljoin(self._BASE_URL, metadata[7])
+ else:
+ # search for call to ocw_embed_chapter_media(container_id, media_url, provider, page_url, image_url, captions_file)
+ embed_media = re.search(r'ocw_embed_media\((.+?)\)', webpage)
+ if embed_media:
+ metadata = re.sub(r'[\'"]', u'', embed_media.group(1))
+ metadata = re.split(r', ?', metadata)
+ yt = metadata[1]
+ subs = compat_urlparse.urljoin(self._BASE_URL, metadata[5])
+ else:
+ raise ExtractorError('Unable to find embedded YouTube video.')
+
+ data = self.url_result(yt, 'Youtube')
+ data['subtitles'] = subs
+
+ return data