Make accessing JSON like data more convenient.
Project description
# Objectify JSON
Make accessing JSON like data more convenient.
## Features
Access dict value via dot . (data.a.b.c).
Always return ObjectifyJSON type, which holds the data with type of dict, list or any other primitive types.
Use x._data to get the real data.
Always return ObjectifyJSON(None) if doesn’t exist.
An CLI tool named object to process JSON data.
## Install
` pip3 install objectify-json `
## Example
See test.py
## Functions to process data in batch
The return value is always ObjectifyJOSN too!
The return value of lambda funtions will always be unwrapped to primitive types.
Most of the fn_* functions accept optional unwrap parameter to enable passing the underlying value as primitive types to lambda. Default is False.
When used in CLI tool, if it failed getting the property by property name, e.g. map, it will retry to get function with prefix fn_ added to the name. This will simplify writting the CLI command.
### Common
Following methods of ObjectifyJOSN accept optional unwrap to unwrap ObjectifyJOSN data to the underlying built-in data, the default value is False.
fn_map(fn, unwrap=False): map on the iterator
fn_reduce(fn, initializer=None, unwrap=False): reduce on the iterator, lambda as the first positional parameter, optional initializer parameter will be passed to built-in reduce.
fn_lambda(fn, unwrap=False): value in-and-out
fn_filter(fn, unwrap=False): filter on the iterator
### Dict
fn_keys(): Return keys as list.
fn_values(): Return values as list.
fn_items(): Return items as list. Element has the type tuple, e.g. (“key”, “value”).
fn_include_keys(keys): Filter dict. Keep the keys you give.
fn_exclude_keys(keys): Filter dict. Remove the keys you give.
fn_filter_by_value(fn): Filter dict. Filter by the lambda you give, which accept the value of dict item.
fn_filter_by_kv(fn): Filter dict. Filter by the lambda you give, which accept key and value two variables.
fn_update(key, fn, unwrap=False): Update dict value. The lambda you give accept the origin value and return a new value.
fn_items_update(fn, unwrap=False): Update dict value. The lambda you give accept key and value two variables and return a new value.
fn_rename(mapping): Update dict key. The mapping is a list of two-elements list.
### List
fn_sort(fn): Sort the list in place. The lambda you give will be passed as key argument to the sort method of list.
fn_dedup(fn=None, all=True): Dedup the elements in list. If all if False, the duplication will checked by comparing current value between last value, else will compare to all appeared before.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file objectify_json-0.2.15-py3-none-any.whl
.
File metadata
- Download URL: objectify_json-0.2.15-py3-none-any.whl
- Upload date:
- Size: 8.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3c79786c0da94893383b8993ea4f028badb6d515b8816a94e7e7cbff801e0435 |
|
MD5 | 60fff051a575e55b5d7f73321e48b768 |
|
BLAKE2b-256 | 90ad0aed622521360feef318bbb9723f8a9b21a748fe34747403d8b7b6b35430 |