Json Urley provides a tight standard for converting json objects to and from URL parameters.
import json_urley
json_urley.json_obj_to_query_str({ "name": "John", "age": 21, "interests": ["sports", "chess"] })
"name=John&age=21&interests=sports&interests=chess"
json_urley.query_str_to_json_obj("name=John&age=21&interests~a.n.type=sport&interests.e.name=football&interests.n.type=game&interests.e.name=chess")
{
"name": "John",
"age": 21,
"interests": [
{"type": "sport", "name": "football"},
{"type": "game", "name": "chess"}
]
}
- The resulting URLs should be as readable as possible
- Most cases should not include anything that a user unfamiliar with this library would not expect (as little magic as possible!)
- It should be possible to convert ANY Json structure - no matter how nested.
- The process should be reversible.
- The result should be as compatible with OpenAPI as possible
- The top level element is assumed to be an object:
? => {}
- Optional type hints for values can be specified at the end of a key by a
~
. Unknown types throw an error. Permitted types are:s => str : ?a~s=b => {"a": "b"}
f => float : ?a~f=1 => {"a": 1.0}
i => int : ?a~i=1 => {"a": 1}
b => bool : ?a~b=1 => {"a": true}, ?a~b=0 => {"a": false},
n => null : ?a~n= => {"a": null}, ?a~n=null => {"a": null}
a => empty array : ?a~a= => {"a": []}
o => empty object : ?a~o= => {"a": {}}
- Boolean values for True are
true
(case insensitive) or1
. Anything else throws an error - Boolean values for False are
false
(case insensitive) or0
. Anything else throws an error - Null values should be
null
or an empty string. Anything else throws an error - Values for an empty array or empty object must be an empty string. Anything else throws an error. (These structures may be built out by later keys)
- If no type is specified, we try to infer the type with the following precedence:
- The value
null
implies the type is null: `?a=null => {"a": null} - The value
true
implies the type is boolean: `?a=true => {"a": true} - The value
false
implies the type is boolean: `?a=false => {"a": false} - If the value can be parsed as an integer, it is an integer number:
?a=1 => {"a": 1}
- If the value can be parsed as a float, it is a floating point number:
?a=1.0 => {"a": 1.0}
- If the value is
NaN
,Infinity
or-Infinity
it is one of these numbers. - The value is a string
- The value
- Duplicate keys mean the presence of an array at the end of the path. This makes the ordering of elements
significant!
?a=1&a=2 => {"a": [1, 2]}
?a=1&a~i=2 => {"a": [1, 2]}
?a=1&a~s=2 => {"a": [1, "2"]}
- Keys are divided into elements by a
.
:?a.b=1&a.c=2 => {"a": {"b": [1, 2]}}
- Elements which are not at the end of a path may have a hint indicating that they are an array instead of a key.
Arrays may have 2 keys:
n
: A new elemente
: The last existing element (creates new if missing) Examples:?foo=a&foo=b => {"foo": ["a", "b"]}
?foo~a.n=a&foo~a.n=b => {"foo": ["a", "b"]}
?foo~a.n.c=a&foo~a.n.c=b => {"foo": [{"c": "a"}, {"c": "b"}]}
?foo~a.n.c=a&foo.n.c=b => {"foo": [{"c": "a"}, {"c": "b"}]}
?foo~a=&foo.n.c=a&foo.n.c=b => {"foo": [{"c": "a"}, {"c": "b"}]}
?foo~a.n.c=a&foo.e.d=b => {"foo": [{"c": "a", "d": "b"}]}
?foo~a.e.c=a&foo.e.d=b => {"foo": [{"c": "a", "d": "b"}]}
?foo~a.e.c=a&foo.e.c=b => {"foo": [{"c": ["a", "b"]}]}
?foo~a.e~a.e~a.e=1 => {"foo": [[[1]]]}
?foo~a.n~a.n~a.n=1&foo~a.n~a.n~a.n=2&foo~a.e~a.e~a.e=3 => {"foo": [[[1]], [[2,3]]]}
- Trying to mix arrays with objects will result in an error:
?a~a=&a.b=1 => ERROR
?a~a=&a.foo=1 => ERROR
- Actual ~ or . in keys can be escaped with a preceeding ~:
a~~a=1 => {"a~a": 1}
a~~~b=1 => {"a~": true}
a~~~.b=1 => {"a~.b": 1}
Test coverage is currently 100% and will be so before any new release
- Tildas are not valid as part of a URL parameter - they are not encoded with a % and unicode number
when you call
encodeUriComponent
, making them easier to read than alternatives. - Tilda is often used to mean
approximately
, so I thought it was appropriate for type hints.
All existing options I found did not satisfy one or more of the aims outlined at the outset of this readme.
This was decided in order to help prevent denial of service attacks. Can you imagine a situation where a malicious user could command a server to create a data structure to hold trillions of items from the command line? Gross!
Yes. Though the spec allows you to define data structures of any complexity, just because you can doesn't mean you should!
python setup.py install easy_install "json-urley[dev]"
The typical process here is:
- Create a PR with changes. Merge these to main (The
Quality
workflows make sure that your PR meets the styling, linting, and code coverage standards). - New releases created in github are automatically uploaded to pypi