Skip to main content

Module to work with deeply nested object. dict or list of dict with multiple level of nesting

Project description

DeeplyNested

The aim of the library is to make working with Deeply nested json structures more fun.

from  src  import  NestedObject 
sample_dict  = { "k1":"v1", "k2":[{"a1":"v2","a2":"v3"},{"a1":"v4","a2":"v5"}]}

d2  =  NestedObject(sample_dict)
d2.data

print(d2.paths) 
# List of all available paths ['/k1', '/k2', '/k2[0]', '/k2[0]/a1', '/k2[0]/a2', '/k2[1]', '/k2[1]/a1', '/k2[1]/a2']

print(d2.keys()) # List of keys Similar to .keys method in dict ['/k1', '/k2', '/k2[0]', '/k2[0]/a1', '/k2[0]/a2', '/k2[1]', '/k2[1]/a1', '/k2[1]/a2']

print(d2.items())
# list of tuples Similar to the items method in a normal dictionary
# [('/k1', 'v1'), ('/k2', [{'a1': 'v2', 'a2': 'v3'}, {'a1': 'v4', 'a2': 'v5'}]), ('/k2[0]', {'a1': 'v2', 'a2': 'v3'}), ('/k2[0]/a1', 'v2'), ('/k2[0]/a2', 'v3'), ('/k2[1]', {'a1': 'v4', 'a2': 'v5'}), ('/k2[1]/a1', 'v4'), ('/k2[1]/a2', 'v5')]

print(d2.get(keypath='/k2'))
# Tuple with (key, value) where key is the keypath
# ('/k2', [{'a1': 'v2', 'a2': 'v3'}, {'a1': 'v4', 'a2': 'v5'}])

print(d2.get(keypath='/k2[i]/a1'))
# List of tuple with i replaced with length of list in k2 key
# [('/k2[0]', {'a1': 'v2', 'a2': 'v3'}), ('/k2[1]', {'a1': 'v4', 'a2': 'v5'})]

Please feel free to raise an issue. This is under active maintainence.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deeply-nested-0.0.2.tar.gz (3.7 kB view hashes)

Uploaded Source

Built Distribution

deeply_nested-0.0.2-py3-none-any.whl (4.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page