Sort And Group A List Of Dictionaries
How can I sort and group this list of dictionaries into a nested dictionary which I want to return via an API as JSON. Source Data (list of permissions): [{ 'can_create': True,
Solution 1:
TADA!
from itertools import groupby
defgroup_by_remove(permissions, id_key, groups_key, name_key=None):
"""
@type permissions: C{list} of C{dict} of C{str} to C{object}
@param id_key: A string that represents the name of the id key, like "role_id" or "module_id"
@param groups_key: A string that represents the name of the key of the groups like "modules" or "permissions"
@param name_key: A string that represents the name of the key of names like "module_name" (can also be None for no names' key)
"""
result = []
permissions_key = lambda permission: permission[id_key]
# Must sort for groupby to work properly
sorted_permissions = sorted(permissions, key=permissions_key)
for key, groups in groupby(sorted_permissions, permissions_key):
key_result = {}
groups = list(groups)
key_result[id_key] = key
if name_key isnotNone:
key_result[name_key] = groups[0][name_key]
key_result[groups_key] = [{k: v for k, v in group.iteritems() if k != id_key and (name_key isNoneor k != name_key)} for group in groups]
result.append(key_result)
return result
defchange_format(initial):
"""
@type initial: C{list}
@rtype: C{dict} of C{str} to C{list} of C{dict} of C{str} to C{object}
"""
roles_group = group_by_remove(initial, "role_id", "modules")[0]
roles_group["modules"] = group_by_remove(roles_group["modules"], "module_id", "permissions", "module_name")
return roles_group
change_format(role_permissions)
Enjoy :)
Solution 2:
PyFunctional is pretty good at list manipulation.
from pprint import pprint
from functional import seq
input = [...] # taken from your example
output =(
seq(input) # convert regular python list to Sequence object# group by role_id
.map(lambda e: (e.pop('role_id'), e)).group_by_key()
# start building role dict
.map(lambda role_modules: {
"role_id": role_modules[0],
"modules": seq(role_modules[1])
# group by (module_id, module_name)
.map(lambda e: ( (e.pop('module_id'), e.pop('module_name')), e) ).group_by_key()
# start building module/permissions dict
.map(lambda module_permissions: {
"module_id": module_permissions[0][0],
"module_name": module_permissions[0][1],
"permissions": module_permissions[1]
})
# sort by module_id, convert Seq obj to regular list
.sorted(key=lambda m:m['module_id']).to_list()
})
# sort by role_id, convert Seq obj to regular list
.sorted(key=lambda r:r['role_id']).to_list()
)
pprint(output)
RESULT
[{'modules': [{'module_id': 1,
'module_name': 'ModuleOne',
'permissions': [{'can_create': True,
'can_delete': True,
'can_read': True,
'can_update': True,
'end_point_id': 1,
'end_point_name': 'entity'},
{'can_create': True,
'can_delete': True,
'can_read': True,
'can_update': True,
'end_point_id': 2,
'end_point_name': 'management-type'},
{'can_create': True,
'can_delete': False,
'can_read': True,
'can_update': True,
'end_point_id': 3,
'end_point_name': 'ownership-type'}]},
{'module_id': 2,
'module_name': 'ModuleTwo',
'permissions': [{'can_create': True,
'can_delete': True,
'can_read': True,
'can_update': True,
'end_point_id': 4,
'end_point_name': 'financial-outlay'},
{'can_create': True,
'can_delete': True,
'can_read': True,
'can_update': True,
'end_point_id': 5,
'end_point_name': 'exposure'}]}],
'role_id': 1}]
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