我有一本嵌套的字典。是否只有一种方法可以安全地传递价值观?

try:
    example_dict['key1']['key2']
except KeyError:
    pass

或者python有一个类似get()的方法用于嵌套字典?


当前回答

你可以用虚线:

PIP安装

from dotted.collection import DottedDict

assert DottedDict(dict(foo=dict(bar="baz")))["foo"]["bar"] == "baz"
assert DottedDict(dict(foo=dict(bar="baz")))["foo.bar"] == "baz"
assert DottedDict(dict(foo=dict(bar="baz"))).get("lorem.ipsum", None) is None
assert DottedDict(dict(foo=dict(bar="baz"))).get("lorem.ipsum", "default") == "default"

其他回答

在深入获取属性后,我使用点表示法安全地获得嵌套的dict值。这适用于我,因为我的字典是反序列化的MongoDB对象,所以我知道键名不包含.s。此外,在我的上下文中,我可以指定一个数据中没有的虚假回退值(None),因此在调用函数时可以避免使用try/except模式。

from functools import reduce # Python 3
def deepgetitem(obj, item, fallback=None):
    """Steps through an item chain to get the ultimate value.

    If ultimate value or path to value does not exist, does not raise
    an exception and instead returns `fallback`.

    >>> d = {'snl_final': {'about': {'_icsd': {'icsd_id': 1}}}}
    >>> deepgetitem(d, 'snl_final.about._icsd.icsd_id')
    1
    >>> deepgetitem(d, 'snl_final.about._sandbox.sbx_id')
    >>>
    """
    def getitem(obj, name):
        try:
            return obj[name]
        except (KeyError, TypeError):
            return fallback
    return reduce(getitem, item.split('.'), obj)

虽然reduce方法简洁而简短,但我认为简单的循环更容易理解。我还包含了一个默认参数。

def deep_get(_dict, keys, default=None):
    for key in keys:
        if isinstance(_dict, dict):
            _dict = _dict.get(key, default)
        else:
            return default
    return _dict

作为理解reduce一行程序如何工作的练习,我执行了以下操作。但最终循环方法对我来说似乎更直观。

def deep_get(_dict, keys, default=None):

    def _reducer(d, key):
        if isinstance(d, dict):
            return d.get(key, default)
        return default

    return reduce(_reducer, keys, _dict)

使用

nested = {'a': {'b': {'c': 42}}}

print deep_get(nested, ['a', 'b'])
print deep_get(nested, ['a', 'b', 'z', 'z'], default='missing')

如果您想使用另一个库来解决问题,这是最好的方法

https://github.com/maztohir/dict-path

from dict-path import DictPath

data_dict = {
  "foo1": "bar1",
  "foo2": "bar2",
  "foo3": {
     "foo4": "bar4",
     "foo5": {
        "foo6": "bar6",
        "foo7": "bar7",
     },
  }
}

data_dict_path = DictPath(data_dict)
data_dict_path.get('key1/key2/key3')

我改编了GenesRus和unutbu的答案,非常简单:

class new_dict(dict):
    def deep_get(self, *args, default=None):
        _empty_dict = {}
        out = self
        for key in args:
            out = out.get(key, _empty_dict)
        return out if out else default

它适用于:

d = new_dict(some_data)
d.deep_get("key1", "key2", "key3", ..., default=some_value)

递归法(мб п п и и одитс)

示例dict类型:

foo = [{'feature_name': 'Sample Creator > Contract Details > Elements of the page',
  'scenarios': [{'scenario_name': 'SC, CD, Elements of the page',
                 'scenario_status': 'failed',
                 'scenario_tags': None,
                 'steps': [{'duration': 0,
                            'name': 'I open application Stage and login by '
                                    'SPT_LOGIN and password SPT_PWD',
                            'status': 'untested'},
                           {'duration': 0,
                            'name': 'I open Sample Creator query page',
                            'status': 'untested'},
                           {'duration': 7.78166389465332,
                            'name': 'I open application Stage and login by '
                                    'SPT_LOGIN and password SPT_PWD',
                            'status': 'passed'},
                           {'duration': 3.985326051712036,
                            'name': 'I open Sample Creator query page',
                            'status': 'passed'},
                           {'duration': 2.9063704013824463,
                            'name': 'Enter value: '
                                    'X-2008-CON-007,X-2011-CON-016 in '
                                    'textarea: project_text_area sleep: 1',
                            'status': 'passed'},
                           {'duration': 4.4447715282440186,
                            'name': 'I press on GET DATA',
                            'status': 'passed'},
                           {'duration': 1.1209557056427002,
                            'name': 'Verify the top table on Contract Details',
                            'status': 'passed'},
                           {'duration': 3.8173601627349854,
                            'name': 'I export contract_details table by offset '
                                    'x:100, y:150',
                            'status': 'passed'},
                           {'duration': 1.032956600189209,
                            'name': 'Check data of '
                                    'sc__cd_elements_of_the_page_1 and skip '
                                    'cols None',
                            'status': 'passed'},
                           {'duration': 0.04593634605407715,
                            'name': "Verify 'Number of Substances' column "
                                    'values',
                            'status': 'passed'},
                           {'duration': 0.10199904441833496,
                            'name': 'Substance Sample Details bottom table '
                                    'columns',
                            'status': 'passed'},
                           {'duration': 0.0009999275207519531,
                            'name': 'Verify the Substance Sample Details '
                                    'bottom table',
                            'status': 'passed'},
                           {'duration': 3.8558616638183594,
                            'name': 'I export substance_sample_details table '
                                    'by offset x:100, y:150',
                            'status': 'passed'},
                           {'duration': 1.0329277515411377,
                            'name': 'Check data of '
                                    'sc__cd_elements_of_the_page_2 and skip '
                                    'cols None',
                            'status': 'passed'},
                           {'duration': 0.2879970073699951,
                            'name': 'Click on AG-13369',
                            'status': 'passed'},
                           {'duration': 3.800830364227295,
                            'name': 'I export substance_sample_details table '
                                    'by offset x:100, y:150',
                            'status': 'passed'},
                           {'duration': 1.0169551372528076,
                            'name': 'Check data of '
                                    'sc__cd_elements_of_the_page_3 and skip '
                                    'cols None',
                            'status': 'passed'},
                           {'duration': 1.7484464645385742,
                            'name': 'Select all cells, table: 2',
                            'status': 'passed'},
                           {'duration': 3.812828779220581,
                            'name': 'I export substance_sample_details table '
                                    'by offset x:100, y:150',
                            'status': 'passed'},
                           {'duration': 1.0029594898223877,
                            'name': 'Check data of '
                                    'sc__cd_elements_of_the_page_2 and skip '
                                    'cols None',
                            'status': 'passed'},
                           {'duration': 1.6729373931884766,
                            'name': 'Set window size x:800, y:600',
                            'status': 'passed'},
                           {'duration': 30.145705699920654,
                            'name': 'All scrollers are placed on top 6 and far '
                                    'left 8',
                            'status': 'failed'}]}]},
  {'feature_name': 'Sample Creator > Substance Sample History > Elements of the '
                  'page',
  'scenarios': [{'scenario_name': 'SC, SSH, Elements of the page',
                 'scenario_status': 'passed',
                 'scenario_tags': None,
                 'steps': [{'duration': 0,
                            'name': 'I open application Stage and login by '
                                    'SPT_LOGIN and password SPT_PWD',
                            'status': 'untested'},
                           {'duration': 0,
                            'name': 'I open Sample Creator query page',
                            'status': 'untested'},
                           {'duration': 7.305850505828857,
                            'name': 'I open application Stage and login by '
                                    'SPT_LOGIN and password SPT_PWD',
                            'status': 'passed'},
                           {'duration': 3.500955104827881,
                            'name': 'I open Sample Creator query page',
                            'status': 'passed'},
                           {'duration': 3.0419492721557617,
                            'name': 'Enter value: NOA401800 SYN-NOA '
                                    'A,S4A482070C SYN-ISN-OLD '
                                    'O,S04A482167T,S04A482190Y,CSAA796564,CSCD106701 '
                                    'in textarea: id_text_area sleep: 1',
                            'status': 'passed'},
                           {'duration': 49.567158460617065,
                            'name': 'I press on GET DATA',
                            'status': 'passed'},
                           {'duration': 0.13904356956481934,
                            'name': 'Open substance_sample_history',
                            'status': 'passed'},
                           {'duration': 1.1039845943450928,
                            'name': 'Columns displayed',
                            'status': 'passed'},
                           {'duration': 3.881945848464966,
                            'name': 'I export export_parent_table table by '
                                    'offset x:100, y:150',
                            'status': 'passed'},
                           {'duration': 1.0334820747375488,
                            'name': 'Check data of '
                                    'sc__ssh_elements_of_the_page_1 and skip '
                                    'cols None',
                            'status': 'passed'},
                           {'duration': 0.0319981575012207,
                            'name': "Title is 'Additional Details for Marked "
                                    "Rows'",
                            'status': 'passed'},
                           {'duration': 0.08897256851196289,
                            'name': 'Columns displayed (the same as in top '
                                    'table)',
                            'status': 'passed'},
                           {'duration': 25.192569971084595,
                            'name': 'Verify the content of the bottom table',
                            'status': 'passed'},
                           {'duration': 4.308935880661011,
                            'name': 'I export '
                                    'additional_details_for_marked_rows table '
                                    'by offset x:100, y:150',
                            'status': 'passed'},
                           {'duration': 1.0089836120605469,
                            'name': 'Check data of '
                                    'sc__ssh_elements_of_the_page_1 and skip '
                                    'cols None',
                            'status': 'passed'}]}]}]

代码:

def get_keys(_dict: dict, prefix: list):
    prefix += list(_dict.keys())
    return prefix


def _loop_elements(elems:list, prefix=None, limit=None):
    prefix = prefix or []
    limit = limit or 9
    try:
        if len(elems) != 0 and isinstance(elems, list):
            for _ in elems:
                if isinstance(_, dict):
                    get_keys(_, prefix)
                    for item in _.values():
                        _loop_elements(item, prefix, limit)
        return prefix[:limit]
    except TypeError:
        return


>>>goo = _loop_elements(foo,limit=9)
>>>goo
['feature_name', 'scenarios', 'scenario_name', 'scenario_status', 'scenario_tags', 'steps', 'duration', 'name', 'status']