# Test Ellipsis behavior
self.assertCountEqual(traverse_obj(_TEST_DATA, ...),
- (item for item in _TEST_DATA.values() if item not in (None, [], {})),
+ (item for item in _TEST_DATA.values() if item not in (None, {})),
msg='`...` should give all non discarded values')
self.assertCountEqual(traverse_obj(_TEST_DATA, ('urls', 0, ...)), _TEST_DATA['urls'][0].values(),
msg='`...` selection for dicts should select all values')
msg='remove empty values when nested dict key fails')
self.assertEqual(traverse_obj(None, {0: 'fail'}), {},
msg='default to dict if pruned')
- self.assertEqual(traverse_obj(None, {0: 'fail'}, default=...), {},
+ self.assertEqual(traverse_obj(None, {0: 'fail'}, default=...), {0: ...},
msg='default to dict if pruned and default is given')
self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 'fail'}}, default=...), {0: {0: ...}},
msg='use nested `default` when nested dict key fails and `default`')
msg='if branched but not successful return `[]`, not `default`')
self.assertEqual(traverse_obj(_DEFAULT_DATA, ('list', ...)), [],
msg='if branched but object is empty return `[]`, not `default`')
+ self.assertEqual(traverse_obj(None, ...), [],
+ msg='if branched but object is `None` return `[]`, not `default`')
+ self.assertEqual(traverse_obj({0: None}, (0, ...)), [],
+ msg='if branched but state is `None` return `[]`, not `default`')
+
+ branching_paths = [
+ ('fail', ...),
+ (..., 'fail'),
+ 100 * ('fail',) + (...,),
+ (...,) + 100 * ('fail',),
+ ]
+ for branching_path in branching_paths:
+ self.assertEqual(traverse_obj({}, branching_path), [],
+ msg='if branched but state is `None`, return `[]` (not `default`)')
+ self.assertEqual(traverse_obj({}, 'fail', branching_path), [],
+ msg='if branching in last alternative and previous did not match, return `[]` (not `default`)')
+ self.assertEqual(traverse_obj({0: 'x'}, 0, branching_path), 'x',
+ msg='if branching in last alternative and previous did match, return single value')
+ self.assertEqual(traverse_obj({0: 'x'}, branching_path, 0), 'x',
+ msg='if branching in first alternative and non-branching path does match, return single value')
+ self.assertEqual(traverse_obj({}, branching_path, 'fail'), None,
+ msg='if branching in first alternative and non-branching path does not match, return `default`')
# Testing expected_type behavior
_EXPECTED_TYPE_DATA = {'str': 'str', 'int': 0}
- self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=str), 'str',
- msg='accept matching `expected_type` type')
- self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=int), None,
- msg='reject non matching `expected_type` type')
- self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'int', expected_type=lambda x: str(x)), '0',
- msg='transform type using type function')
- self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str',
- expected_type=lambda _: 1 / 0), None,
- msg='wrap expected_type fuction in try_call')
- self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, ..., expected_type=str), ['str'],
- msg='eliminate items that expected_type fails on')
- self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2}, expected_type=int), {0: 100},
- msg='type as expected_type should filter dict values')
- self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2, 2: 'None'}, expected_type=str_or_none), {0: '100', 1: '1.2'},
- msg='function as expected_type should transform dict values')
- self.assertEqual(traverse_obj(_TEST_DATA, ({0: 1.2}, 0, {int_or_none}), expected_type=int), 1,
- msg='expected_type should not filter non final dict values')
- self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 100, 1: 'str'}}, expected_type=int), {0: {0: 100}},
- msg='expected_type should transform deep dict values')
- self.assertEqual(traverse_obj(_TEST_DATA, [({0: '...'}, {0: '...'})], expected_type=type(...)), [{0: ...}, {0: ...}],
- msg='expected_type should transform branched dict values')
- self.assertEqual(traverse_obj({1: {3: 4}}, [(1, 2), 3], expected_type=int), [4],
- msg='expected_type regression for type matching in tuple branching')
- self.assertEqual(traverse_obj(_TEST_DATA, ['data', ...], expected_type=int), [],
- msg='expected_type regression for type matching in dict result')
+ self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=str),
+ 'str', msg='accept matching `expected_type` type')
+ self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=int),
+ None, msg='reject non matching `expected_type` type')
+ self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'int', expected_type=lambda x: str(x)),
+ '0', msg='transform type using type function')
+ self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=lambda _: 1 / 0),
+ None, msg='wrap expected_type fuction in try_call')
+ self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, ..., expected_type=str),
+ ['str'], msg='eliminate items that expected_type fails on')
+ self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2}, expected_type=int),
+ {0: 100}, msg='type as expected_type should filter dict values')
+ self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2, 2: 'None'}, expected_type=str_or_none),
+ {0: '100', 1: '1.2'}, msg='function as expected_type should transform dict values')
+ self.assertEqual(traverse_obj(_TEST_DATA, ({0: 1.2}, 0, {int_or_none}), expected_type=int),
+ 1, msg='expected_type should not filter non final dict values')
+ self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 100, 1: 'str'}}, expected_type=int),
+ {0: {0: 100}}, msg='expected_type should transform deep dict values')
+ self.assertEqual(traverse_obj(_TEST_DATA, [({0: '...'}, {0: '...'})], expected_type=type(...)),
+ [{0: ...}, {0: ...}], msg='expected_type should transform branched dict values')
+ self.assertEqual(traverse_obj({1: {3: 4}}, [(1, 2), 3], expected_type=int),
+ [4], msg='expected_type regression for type matching in tuple branching')
+ self.assertEqual(traverse_obj(_TEST_DATA, ['data', ...], expected_type=int),
+ [], msg='expected_type regression for type matching in dict result')
# Test get_all behavior
_GET_ALL_DATA = {'key': [0, 1, 2]}
max_workers = self.params.get('concurrent_fragment_downloads', 1)
if max_progress > 1:
self._prepare_multiline_status(max_progress)
- is_live = any(traverse_obj(args, (..., 2, 'is_live'), default=[]))
+ is_live = any(traverse_obj(args, (..., 2, 'is_live')))
def thread_func(idx, ctx, fragments, info_dict, tpe):
ctx['max_progress'] = max_progress
f'https://api.abema.io/v1/video/programs/{video_id}', video_id,
note='Checking playability',
headers=headers)
- ondemand_types = traverse_obj(api_response, ('terms', ..., 'onDemandType'), default=[])
+ ondemand_types = traverse_obj(api_response, ('terms', ..., 'onDemandType'))
if 3 not in ondemand_types:
# cannot acquire decryption key for these streams
self.report_warning('This is a premium-only stream')
})
yield from (
self.url_result(f'https://abema.tv/video/episode/{x}')
- for x in traverse_obj(programs, ('programs', ..., 'id'), default=[]))
+ for x in traverse_obj(programs, ('programs', ..., 'id')))
def _entries(self, playlist_id, series_version):
return OnDemandPagedList(
post_hash_id, note='Downloading comments list page %d' % page)
if not comments_data.get('comments'):
break
- for comment in traverse_obj(comments_data, (('comments', 'childComments'), ...), expected_type=dict, default=[]):
+ for comment in traverse_obj(comments_data, (('comments', 'childComments'), ...), expected_type=dict):
yield {
'id': comment['id'],
'text': self._parse_content_as_text(
'langCode': self._get_cookie('lang', 'en_us'),
'deviceId': self._get_cookie('QC005', '')
}, fatal=False)
- ut_list = traverse_obj(vip_data, ('data', 'all_vip', ..., 'vipType'), expected_type=str_or_none, default=[])
+ ut_list = traverse_obj(vip_data, ('data', 'all_vip', ..., 'vipType'), expected_type=str_or_none)
else:
ut_list = ['0']
self.report_warning('This preview video is limited%s' % format_field(preview_time, None, ' to %s seconds'))
# TODO: Extract audio-only formats
- for bid in set(traverse_obj(initial_format_data, ('program', 'video', ..., 'bid'), expected_type=str_or_none, default=[])):
+ for bid in set(traverse_obj(initial_format_data, ('program', 'video', ..., 'bid'), expected_type=str_or_none)):
dash_path = dash_paths.get(bid)
if not dash_path:
self.report_warning(f'Unknown format id: {bid}. It is currently not being extracted')
fatal=False), 'data', expected_type=dict)
video_format = traverse_obj(format_data, ('program', 'video', lambda _, v: str(v['bid']) == bid),
- expected_type=dict, default=[], get_all=False) or {}
+ expected_type=dict, get_all=False) or {}
extracted_formats = []
if video_format.get('m3u8Url'):
extracted_formats.extend(self._extract_m3u8_formats(
})
formats.extend(extracted_formats)
- for sub_format in traverse_obj(initial_format_data, ('program', 'stl', ...), expected_type=dict, default=[]):
+ for sub_format in traverse_obj(initial_format_data, ('program', 'stl', ...), expected_type=dict):
lang = self._LID_TAGS.get(str_or_none(sub_format.get('lid')), sub_format.get('_name'))
subtitles.setdefault(lang, []).extend([{
'ext': format_ext,
return {
'id': video_id,
'title': delivery.get('SessionName'),
- 'cast': traverse_obj(delivery, ('Contributors', ..., 'DisplayName'), default=[], expected_type=lambda x: x or None),
+ 'cast': traverse_obj(delivery, ('Contributors', ..., 'DisplayName'), expected_type=lambda x: x or None),
'timestamp': session_start_time - 11640000000 if session_start_time else None,
'duration': delivery.get('Duration'),
'thumbnail': base_url + f'/Services/FrameGrabber.svc/FrameRedirect?objectId={video_id}&mode=Delivery&random={random()}',
base_url, '/Services/Data.svc/GetFolderInfo', folder_id,
data={'folderID': folder_id}, fatal=False)
return {
- 'title': get_first(response, 'Name', default=[])
+ 'title': get_first(response, 'Name')
}
def _real_extract(self, url):
f'posts/{post_id}/comments', post_id, query=params, note='Downloading comments page %d' % page)
cursor = None
- for comment in traverse_obj(response, (('data', ('included', lambda _, v: v['type'] == 'comment')), ...), default=[]):
+ for comment in traverse_obj(response, (('data', ('included', lambda _, v: v['type'] == 'comment')), ...)):
count += 1
comment_id = comment.get('id')
attributes = comment.get('attributes') or {}
user_url = self._UPLOADER_URL_FORMAT % (traverse_obj(author_info,
'sec_uid', 'id', 'uid', 'unique_id',
expected_type=str_or_none, get_all=False))
- labels = traverse_obj(aweme_detail, ('hybrid_label', ..., 'text'), expected_type=str, default=[])
+ labels = traverse_obj(aweme_detail, ('hybrid_label', ..., 'text'), expected_type=str)
contained_music_track = traverse_obj(
music_info, ('matched_song', 'title'), ('matched_pgc_sound', 'title'), expected_type=str)
'ext': 'mp4',
'width': width,
'height': height,
- } for url in traverse_obj(play_url, (..., 'src'), expected_type=url_or_none, default=[]) if url]
+ } for url in traverse_obj(play_url, (..., 'src'), expected_type=url_or_none) if url]
download_url = url_or_none(video_info.get('downloadAddr')) or traverse_obj(video_info, ('download', 'url'), expected_type=url_or_none)
if download_url:
}
badges = []
- for badge in traverse_obj(renderer, ('badges', ..., 'metadataBadgeRenderer'), default=[]):
+ for badge in traverse_obj(renderer, ('badges', ..., 'metadataBadgeRenderer')):
badge_type = (
privacy_icon_map.get(traverse_obj(badge, ('icon', 'iconType'), expected_type=str))
or badge_style_map.get(traverse_obj(badge, 'style'))
runs = item
runs = runs[:min(len(runs), max_runs or len(runs))]
- text = ''.join(traverse_obj(runs, (..., 'text'), expected_type=str, default=[]))
+ text = ''.join(traverse_obj(runs, (..., 'text'), expected_type=str))
if text:
return text
"""
thumbnails = []
for path in path_list or [()]:
- for thumbnail in traverse_obj(data, (*variadic(path), 'thumbnails', ...), default=[]):
+ for thumbnail in traverse_obj(data, (*variadic(path), 'thumbnails', ...)):
thumbnail_url = url_or_none(thumbnail.get('url'))
if not thumbnail_url:
continue
return
_, _, prs, player_url = self._download_player_responses(url, smuggled_data, video_id, webpage_url)
- video_details = traverse_obj(
- prs, (..., 'videoDetails'), expected_type=dict, default=[])
+ video_details = traverse_obj(prs, (..., 'videoDetails'), expected_type=dict)
microformats = traverse_obj(
prs, (..., 'microformat', 'playerMicroformatRenderer'),
- expected_type=dict, default=[])
+ expected_type=dict)
_, live_status, _, formats, _ = self._list_formats(video_id, microformats, video_details, prs, player_url)
is_live = live_status == 'is_live'
start_time = time.time()
content_list = traverse_obj(
data,
('engagementPanels', ..., 'engagementPanelSectionListRenderer', 'content', 'macroMarkersListRenderer', 'contents'),
- expected_type=list, default=[])
+ expected_type=list)
chapter_time = lambda chapter: parse_duration(self._get_text(chapter, 'timeDescription'))
chapter_title = lambda chapter: self._get_text(chapter, 'title')
if traverse_obj(player_response, ('playabilityStatus', 'desktopLegacyAgeGateReason')):
return True
- reasons = traverse_obj(player_response, ('playabilityStatus', ('status', 'reason')), default=[])
+ reasons = traverse_obj(player_response, ('playabilityStatus', ('status', 'reason')))
AGE_GATE_REASONS = (
'confirm your age', 'age-restricted', 'inappropriate', # reason
'age_verification_required', 'age_check_required', # status
'audio_quality_ultralow', 'audio_quality_low', 'audio_quality_medium', 'audio_quality_high', # Audio only formats
'small', 'medium', 'large', 'hd720', 'hd1080', 'hd1440', 'hd2160', 'hd2880', 'highres'
])
- streaming_formats = traverse_obj(streaming_data, (..., ('formats', 'adaptiveFormats'), ...), default=[])
+ streaming_formats = traverse_obj(streaming_data, (..., ('formats', 'adaptiveFormats'), ...))
for fmt in streaming_formats:
if fmt.get('targetDurationSec'):
else 'was_live' if live_content
else 'not_live' if False in (is_live, live_content)
else None)
- streaming_data = traverse_obj(player_responses, (..., 'streamingData'), default=[])
+ streaming_data = traverse_obj(player_responses, (..., 'streamingData'))
*formats, subtitles = self._extract_formats_and_subtitles(streaming_data, video_id, player_url, live_status, duration)
return live_broadcast_details, live_status, streaming_data, formats, subtitles
webpage, master_ytcfg, player_responses, player_url = self._download_player_responses(url, smuggled_data, video_id, webpage_url)
playability_statuses = traverse_obj(
- player_responses, (..., 'playabilityStatus'), expected_type=dict, default=[])
+ player_responses, (..., 'playabilityStatus'), expected_type=dict)
trailer_video_id = get_first(
playability_statuses,
search_meta = ((lambda x: self._html_search_meta(x, webpage, default=None))
if webpage else (lambda x: None))
- video_details = traverse_obj(
- player_responses, (..., 'videoDetails'), expected_type=dict, default=[])
+ video_details = traverse_obj(player_responses, (..., 'videoDetails'), expected_type=dict)
microformats = traverse_obj(
player_responses, (..., 'microformat', 'playerMicroformatRenderer'),
- expected_type=dict, default=[])
+ expected_type=dict)
translated_title = self._get_text(microformats, (..., 'title'))
video_title = (self._preferred_lang and translated_title
# Converted into dicts to remove duplicates
captions = {
get_lang_code(sub): sub
- for sub in traverse_obj(pctr, (..., 'captionTracks', ...), default=[])}
+ for sub in traverse_obj(pctr, (..., 'captionTracks', ...))}
translation_languages = {
lang.get('languageCode'): self._get_text(lang.get('languageName'), max_runs=1)
- for lang in traverse_obj(pctr, (..., 'translationLanguages', ...), default=[])}
+ for lang in traverse_obj(pctr, (..., 'translationLanguages', ...))}
def process_language(container, base_url, lang_code, sub_name, query):
lang_subs = container.setdefault(lang_code, [])
list) or []):
tbrs = variadic(
traverse_obj(
- tlb, 'toggleButtonRenderer',
- ('segmentedLikeDislikeButtonRenderer', ..., 'toggleButtonRenderer'),
- default=[]))
+ tlb, ('toggleButtonRenderer', ...),
+ ('segmentedLikeDislikeButtonRenderer', ..., 'toggleButtonRenderer')))
for tbr in tbrs:
for getter, regex in [(
lambda x: x['defaultText']['accessibility']['accessibilityData'],
Each of the provided `paths` is tested and the first producing a valid result will be returned.
The next path will also be tested if the path branched but no results could be found.
Supported values for traversal are `Mapping`, `Sequence` and `re.Match`.
- Unhelpful values (`[]`, `{}`, `None`) are treated as the absence of a value and discarded.
+ Unhelpful values (`{}`, `None`) are treated as the absence of a value and discarded.
The paths will be wrapped in `variadic`, so that `'key'` is conveniently the same as `('key', )`.
branching = False
result = None
- if obj is None:
+ if obj is None and traverse_string:
pass
elif key is None:
result = next((v for k, v in obj.groupdict().items() if casefold(k) == key), None)
elif isinstance(key, (int, slice)):
- if not is_sequence(obj):
- if traverse_string:
- with contextlib.suppress(IndexError):
- result = str(obj)[key]
- else:
+ if is_sequence(obj):
branching = isinstance(key, slice)
with contextlib.suppress(IndexError):
result = obj[key]
+ elif traverse_string:
+ with contextlib.suppress(IndexError):
+ result = str(obj)[key]
return branching, result if branching else (result,)
def _traverse_obj(obj, path, allow_empty, test_type):
results, has_branched, is_dict = apply_path(obj, path, test_type)
- results = LazyList(item for item in results if item not in (None, [], {}))
+ results = LazyList(item for item in results if item not in (None, {}))
if get_all and has_branched:
if results:
return results.exhaust()
projects / yt-dlp.git / commitdiff
