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https://github.com/yt-dlp/yt-dlp.git
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[utils] traverse_obj: Various improvements
- Add `set` key for transformations/filters - Add `re.Match` group names - Fix behavior for `expected_type` with `dict` key - Raise for filter function signature mismatch in debug Authored by: Grub4K
This commit is contained in:
Simon Sawicki
GitHub
parent
8b008d6254
commit
776995bc10
2 changed files with 88 additions and 10 deletions
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@ -105,6 +105,7 @@
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sanitized_Request,
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shell_quote,
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smuggle_url,
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str_or_none,
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str_to_int,
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strip_jsonp,
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strip_or_none,
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@ -2015,6 +2016,29 @@ def test_traverse_obj(self):
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msg='function as query key should perform a filter based on (key, value)')
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self.assertCountEqual(traverse_obj(_TEST_DATA, lambda _, x: isinstance(x[0], str)), {'str'},
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msg='exceptions in the query function should be catched')
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if __debug__:
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with self.assertRaises(Exception, msg='Wrong function signature should raise in debug'):
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traverse_obj(_TEST_DATA, lambda a: ...)
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with self.assertRaises(Exception, msg='Wrong function signature should raise in debug'):
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traverse_obj(_TEST_DATA, lambda a, b, c: ...)
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# Test set as key (transformation/type, like `expected_type`)
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self.assertEqual(traverse_obj(_TEST_DATA, (..., {str.upper}, )), ['STR'],
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msg='Function in set should be a transformation')
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self.assertEqual(traverse_obj(_TEST_DATA, (..., {str})), ['str'],
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msg='Type in set should be a type filter')
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self.assertEqual(traverse_obj(_TEST_DATA, {dict}), _TEST_DATA,
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msg='A single set should be wrapped into a path')
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self.assertEqual(traverse_obj(_TEST_DATA, (..., {str.upper})), ['STR'],
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msg='Transformation function should not raise')
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self.assertEqual(traverse_obj(_TEST_DATA, (..., {str_or_none})),
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[item for item in map(str_or_none, _TEST_DATA.values()) if item is not None],
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msg='Function in set should be a transformation')
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if __debug__:
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with self.assertRaises(Exception, msg='Sets with length != 1 should raise in debug'):
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traverse_obj(_TEST_DATA, set())
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with self.assertRaises(Exception, msg='Sets with length != 1 should raise in debug'):
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traverse_obj(_TEST_DATA, {str.upper, str})
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# Test alternative paths
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self.assertEqual(traverse_obj(_TEST_DATA, 'fail', 'str'), 'str',
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@ -2106,6 +2130,20 @@ def test_traverse_obj(self):
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msg='wrap expected_type fuction in try_call')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, ..., expected_type=str), ['str'],
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msg='eliminate items that expected_type fails on')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2}, expected_type=int), {0: 100},
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msg='type as expected_type should filter dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2, 2: 'None'}, expected_type=str_or_none), {0: '100', 1: '1.2'},
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msg='function as expected_type should transform dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, ({0: 1.2}, 0, {int_or_none}), expected_type=int), 1,
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msg='expected_type should not filter non final dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 100, 1: 'str'}}, expected_type=int), {0: {0: 100}},
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msg='expected_type should transform deep dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, [({0: '...'}, {0: '...'})], expected_type=type(...)), [{0: ...}, {0: ...}],
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msg='expected_type should transform branched dict values')
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self.assertEqual(traverse_obj({1: {3: 4}}, [(1, 2), 3], expected_type=int), [4],
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msg='expected_type regression for type matching in tuple branching')
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self.assertEqual(traverse_obj(_TEST_DATA, ['data', ...], expected_type=int), [],
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msg='expected_type regression for type matching in dict result')
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# Test get_all behavior
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_GET_ALL_DATA = {'key': [0, 1, 2]}
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@ -2189,6 +2227,8 @@ def test_traverse_obj(self):
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msg='failing str key on a `re.Match` should return `default`')
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self.assertEqual(traverse_obj(mobj, 8), None,
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msg='failing int key on a `re.Match` should return `default`')
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self.assertEqual(traverse_obj(mobj, lambda k, _: k in (0, 'group')), ['0123', '3'],
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msg='function on a `re.Match` should give group name as well')
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if __name__ == '__main__':
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@ -5424,6 +5424,9 @@ def traverse_obj(
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The keys in the path can be one of:
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- `None`: Return the current object.
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- `set`: Requires the only item in the set to be a type or function,
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like `{type}`/`{func}`. If a `type`, returns only values
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of this type. If a function, returns `func(obj)`.
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- `str`/`int`: Return `obj[key]`. For `re.Match`, return `obj.group(key)`.
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- `slice`: Branch out and return all values in `obj[key]`.
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- `Ellipsis`: Branch out and return a list of all values.
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@ -5432,6 +5435,8 @@ def traverse_obj(
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- `function`: Branch out and return values filtered by the function.
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Read as: `[value for key, value in obj if function(key, value)]`.
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For `Sequence`s, `key` is the index of the value.
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For `re.Match`es, `key` is the group number (0 = full match)
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as well as additionally any group names, if given.
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- `dict` Transform the current object and return a matching dict.
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Read as: `{key: traverse_obj(obj, path) for key, path in dct.items()}`.
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@ -5441,6 +5446,8 @@ def traverse_obj(
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@param default Value to return if the paths do not match.
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@param expected_type If a `type`, only accept final values of this type.
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If any other callable, try to call the function on each result.
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If the last key in the path is a `dict`, it will apply to each value inside
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the dict instead, recursively. This does respect branching paths.
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@param get_all If `False`, return the first matching result, otherwise all matching ones.
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@param casesense If `False`, consider string dictionary keys as case insensitive.
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@ -5466,16 +5473,25 @@ def traverse_obj(
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else:
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type_test = lambda val: try_call(expected_type or IDENTITY, args=(val,))
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def apply_key(key, obj):
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def apply_key(key, test_type, obj):
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if obj is None:
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return
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elif key is None:
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yield obj
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elif isinstance(key, set):
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assert len(key) == 1, 'Set should only be used to wrap a single item'
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item = next(iter(key))
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if isinstance(item, type):
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if isinstance(obj, item):
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yield obj
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else:
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yield try_call(item, args=(obj,))
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elif isinstance(key, (list, tuple)):
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for branch in key:
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_, result = apply_path(obj, branch)
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_, result = apply_path(obj, branch, test_type)
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yield from result
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elif key is ...:
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@ -5494,7 +5510,9 @@ def apply_key(key, obj):
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elif isinstance(obj, collections.abc.Mapping):
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iter_obj = obj.items()
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elif isinstance(obj, re.Match):
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iter_obj = enumerate((obj.group(), *obj.groups()))
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iter_obj = itertools.chain(
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enumerate((obj.group(), *obj.groups())),
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obj.groupdict().items())
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elif traverse_string:
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iter_obj = enumerate(str(obj))
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else:
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@ -5502,7 +5520,7 @@ def apply_key(key, obj):
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yield from (v for k, v in iter_obj if try_call(key, args=(k, v)))
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elif isinstance(key, dict):
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iter_obj = ((k, _traverse_obj(obj, v)) for k, v in key.items())
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iter_obj = ((k, _traverse_obj(obj, v, test_type=test_type)) for k, v in key.items())
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yield {k: v if v is not None else default for k, v in iter_obj
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if v is not None or default is not NO_DEFAULT}
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@ -5537,11 +5555,24 @@ def apply_key(key, obj):
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with contextlib.suppress(IndexError):
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yield obj[key]
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def apply_path(start_obj, path):
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def lazy_last(iterable):
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iterator = iter(iterable)
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prev = next(iterator, NO_DEFAULT)
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if prev is NO_DEFAULT:
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return
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for item in iterator:
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yield False, prev
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prev = item
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yield True, prev
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def apply_path(start_obj, path, test_type=False):
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objs = (start_obj,)
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has_branched = False
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for key in variadic(path):
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key = None
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for last, key in lazy_last(variadic(path, (str, bytes, dict, set))):
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if is_user_input and key == ':':
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key = ...
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@ -5551,14 +5582,21 @@ def apply_path(start_obj, path):
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if key is ... or isinstance(key, (list, tuple)) or callable(key):
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has_branched = True
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key_func = functools.partial(apply_key, key)
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if __debug__ and callable(key):
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# Verify function signature
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inspect.signature(key).bind(None, None)
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key_func = functools.partial(apply_key, key, last)
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objs = itertools.chain.from_iterable(map(key_func, objs))
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if test_type and not isinstance(key, (dict, list, tuple)):
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objs = map(type_test, objs)
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return has_branched, objs
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def _traverse_obj(obj, path, use_list=True):
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has_branched, results = apply_path(obj, path)
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results = LazyList(x for x in map(type_test, results) if x is not None)
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def _traverse_obj(obj, path, use_list=True, test_type=True):
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has_branched, results = apply_path(obj, path, test_type)
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results = LazyList(x for x in results if x is not None)
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if get_all and has_branched:
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return results.exhaust() if results or use_list else None
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