def deep_map_values(obj, callback=None, property_path=NoValue):
"""Map all non-object values in `obj` with return values from `callback`.
The callback is invoked with two arguments: ``(obj_value, property_path)``
where ``property_path`` contains the list of path keys corresponding to the
path of ``obj_value``.
Args:
obj (list|dict): Object to map.
callback (callable): Callback applied to each value.
Returns:
mixed: The modified object.
Warning:
`obj` is modified in place.
Example:
>>> x = {'a': 1, 'b': {'c': 2}}
>>> y = deep_map_values(x, lambda val: val * 2)
>>> y == {'a': 2, 'b': {'c': 4}}
True
>>> z = deep_map_values(x, lambda val, props: props)
>>> z == {'a': ['a'], 'b': {'c': ['b', 'c']}}
True
.. versionadded: 2.2.0
.. versionchanged:: 3.0.0
Allow callbacks to accept partial arguments.
"""
properties = path_keys(property_path)
if pyd.is_object(obj):
deep_callback = (
lambda value, key: deep_map_values(value,
callback,
pyd.flatten([properties, key])))
return pyd.extend(obj, map_values(obj, deep_callback))
else:
return call_callback(callback, obj, properties)
def deep_map_values(obj, callback=None, property_path=NoValue):
"""Map all non-object values in `obj` with return values from `callback`.
The callback is invoked with two arguments: ``(obj_value, property_path)``
where ``property_path`` contains the list of path keys corresponding to the
path of ``obj_value``.
Args:
obj (list|dict): Object to map.
callback (function): Callback applied to each value.
Returns:
mixed: The modified object.
Warning:
`obj` is modified in place.
Example:
>>> x = {'a': 1, 'b': {'c': 2}}
>>> y = deep_map_values(x, lambda val: val * 2)
>>> y == {'a': 2, 'b': {'c': 4}}
True
>>> z = deep_map_values(x, lambda val, props: props)
>>> z == {'a': ['a'], 'b': {'c': ['b', 'c']}}
True
.. versionadded: 2.2.0
.. versionchanged:: 3.0.0
Allow callbacks to accept partial arguments.
"""
properties = path_keys(property_path)
if pyd.is_object(obj):
deep_callback = (
lambda value, key: deep_map_values(value,
callback,
pyd.flatten([properties, key])))
return pyd.extend(obj, map_values(obj, deep_callback))
else:
return callit(callback, obj, properties)
def make_response(items, next_cursor, more, total, extra=None):
"""Creates reponse with list of items and also meta data useful for pagination
Args:
reponse_list (list): list of items to be in helpers
cursor (Cursor, optional): ndb query cursor
more (bool, optional): whether there's more items in terms of pagination
total_count (int, optional): Total number of items
Returns:
dict: helpers to be serialized and sent to client
"""
return {
'list':
items,
'meta':
_.extend(
{
'next_cursor': next_cursor.urlsafe() if next_cursor else '',
'more': more,
'total_count': total
}, (extra or {}))
}