json-pointer utilities for querying and transforming data
npm install @sagold/json-query
json-query lets you quickly select values, patterns or types from json-data. Its input requires a simple string, describing a concise query into your data.
Features | Introduction | Api | About patterns | Further examples | Breaking changes
install
yarn add @sagold/json-query
- json-pointer syntax #/list/0/id
- glob-patterns for properties (, *)
- regex-support for properties {any.*}
- pattern-support for inifinite recursion /tree(/nodes/*)+/value
- or-patterns /node((/left), (/right))
- finite search in circular-data **
- lookahead-rules to test selected property ?property:value and regex values ?property:{\d+}
- and typechecks /value?:array
Basically, a query is a json-pointer, which describes a path of properties into the json-data
``js
import { get } from "@sagold/json-query";
const input = { object: { a: { id: "id-a" }, b: { id: "id-b" } } };
const values = get(input, "/object/a/id"); // ["id-a"]
`
But each property may also be a glob-pattern or a regular expression:
* selects all direct children
`js
const input = { object: { a: { id: "id-a" }, b: { id: "id-b" } } };
const values = get(input, "/object/*/id"); // ["id-a", "id-b"]
`
** selects all values
`js
const input = { object: { a: { id: "id-a" }, b: { id: "id-b" } } };
const values = get(input, "/object/**");
// [ { a: { id: "id-a" }, b: { id: "id-b" } }, { id: "id-a" }, "id-a", { id: "id-b" }, "id-b" ]
`
{} calls a regular expression
`js
const input = { object: { a: { id: "id-a" }, b: { id: "id-b" } } };
const values = get(input, "/{obj.}/{.}/id"); // ["id-a", "id-b"]
`
> Note. Regular expressions within strings, have to escape any backslashes, e.g. instead of {\d} you need to pass {\\d}
lookahead rules are used to validate the current value based on its properties
?child tests if a childProperty is defined
`js
const input = { object: { a: { id: "id-a" }, b: { id: "id-b" } } };
const values = get(input, "/object/*?id"); // [{ id: "id-a" }, { id: "id-b" }]
`
?child:value tests if a childProperty matches a value
`js
const input = { object: { a: { id: "id-a" }, b: { id: "id-b" } } };
const values = get(input, "/object/*?id:id-b"); // [{ id: "id-b" }]
`
lookahead rules can also be negated ?child:!value, tested by regex ?child:{^re+}, combined ?child&&other or joined ?child||other. Undefined may be tested with ?property:undefined, per default undefined is excluded from matches.
typechecks can be used to query certain data-types
?:, where may be any of ["boolean", "string", "number", "object", "array", "value"]
`js
const input = { object: { a: { id: 33 }, b: { id: "id-b" } } };
const values = get(input, "/**?:string"); // ["id-b"]
`
?:value will match all types except objects and arrays
`js
const input = { object: { a: { id: 33 }, b: { id: "id-b" } } };
const values = get(input, "/**?:value"); // [33, "id-b"]
`
patterns can be used to combine queries into a single result (OR) and to build up results from recursive queries (+)
Queries can be grouped by parenthesis, where /a/b/c = /a(/b)(/c) = /a(/b/c).
((/a), (/b)) resolves both queries on the previous result
`js
const input = { object: { a: { id: 33 }, b: { id: "id-b" } } };
const values = get(input, "/object((/a), (/b))"); // [{ id: 33 }, { id: "id-b" }]
`
and the result may be queried further
`js`
get(input, "/object((/a), (/b))/id"); // [33, "id-b"]
get(input, "/object((/a), (/b))/id?:number"); // [33]
(/a)+ will repeat the grouped query for all possible results
`js
const input = {
id: 1,
a: { // first iteration
id: 2,
a: { // second iteration
id: 3
a: 4 // last iteration
}
}
};
const values = get(input, "/(/a)+"); // [{ id: 2, a: { id: 3, a: 4 } }, { id: 3, a: 4 }, 4]
`
escaping properties In case you have special characters in property-names or values, you can escape any value using doubled-quotes ":
- escape property-name: '/root//"strange/property"' is split to ["root", "", "strange/property"]'/root/*?"strange/property":42'
- escape query-property '/root/*?id:"#/pointer/value"'
- escape query-value
json-query exposes get, set, remove and a split-helper
method | signature | description
--------|-------------------------------------------------------------------|------------------------------
get | (input:any, query:string, returnType?:string\|function) | query data, returns results
set | (input:any, query:string, value:string\|function, replace?:string)| set value, returns modified input
split | (query: string) | returns a list properties and queries
remove | (input:any, query: string, returnRemoved?:boolean) | delete query targets, returns input
per default, get returns a list of all values
`js`
import { get } from "@sagold/json-query";
const input = { object: { a: { id: 33 }, b: { id: "id-b" } } };
const values = get(input, "/**?:value"); // [33, "id-b"]
Using the optional value returnType you can change the result type to the following options["all", "value", "pointer", "map"]. The string values can also be accessed as property on get: get.ALL, get.VALUE, get.POINTER, get.MAP:
returnType | description
------------|------------------------------------------------------------------
"value" | returns all matched values of the query [33, "id-b"]["#/object/a", "#/object/b"]
"pointer" | returns json-pointer to results jsonPointer: resultValue
"map" | returns an pairs of as an object[value, keyToValue, parentObject, jsonPointer]
"all" | returns a list, where each result is an array of (value, keyToValue, parentObject, jsonPointer) => {}
function | callback with . If a value is returned, the result will be replaced by the return-value
`js
import { get } from "@sagold/json-query";
const input = { object: { a: { id: 33 }, b: { id: "id-b" } } };
get(input, "/**?:value", get.VALUE); // [33, "id-b"]
get(input, "/**?:value", get.POINTER); // ["#/object/a/id", "#/object/b/id"]
get(input, "/**?:value", get.MAP); // { "#/object/a/id": 33, "#/object/b/id": "id-b" }
get(input, "/**?:value", get.ALL);
// [
// [33, "id", { id: 33 }, "#/object/a/id"],
// ["id-b", "id", { id: "id-b" }, "#/object/b/id"]
// ]
get(input, "/**?:value", (value, key, parent, pointer) => custom-${pointer});`
// ["custom-#/object/a/id", "custom-#/object/b/id"]
remove deletes any match from the input data.
Note: the input will be modified. If this is unwanted behaviour, copy your data up front.
`js
import { remove } from "@sagold/json-query";
const input = { object: { a: { id: 33 }, b: { id: "id-b" } } };
remove(input, "/object/*/id"); // { object: { a: {}, b: {} } };
`
Per default, the input object is returned. Setting the optional argument returnRemoved = true, will return a list of the removed items
`js
import { remove } from "@sagold/json-query";
const input = { object: { a: { id: 33 }, b: { id: "id-b" } } };
remove(input, "/object/*/id", true); // [ 33, "id-b" ]
`
set inserts given input-value on result and creates missing properties and arrays.
Note: Any expanding queries like * or patterns will not create any intermediate values
set has the following signature
`ts`
set(input:any, query:string, value:string\|function, force?:string): any
instead of value, you can also pass a function to generate the values to set:
`ts`
value(pointerOfParent:string, lastPropertyName:string, parentObject:string, pointerAtValue:string): any
Create data from simple properties
`js
import { set } from "@sagold/json-query";
const result = set({}, "/object/id", 42); // { object: { id: 42 }}
`
Add properties to multiple existing objects
`js
import { set } from "@sagold/json-query";
const result = set({ list: [ { id: 1 }, { id: 2 } ] }, "/list/*/index", 42);
// { list: [ { id: 1, index: 42 }, { id: 2, index: 42 } ] }
`
Or using a value-function
`js
import { set } from "@sagold/json-query";
const result = set({ list: [ { id: 1 }, { id: 2 } ] }, "/list/*/index",
( _, _, parent) => id-${parent.id}`
);
// { list: [ { id: 1, index: "id-1" }, { id: 2, index: "id-2" } ] }
Currently, set will not override simple values
`js
import { set } from "@sagold/json-query";
const result = set({ value: 2 }, "/value/id", 3);
// { value: 2 }
`
And queries will not add values to the data
`js
import { set } from "@sagold/json-query";
const result = set({ a: { id: 2 } }, "((/a), (/b))/id", true);
// { a: { id: true } }
`
When working with arrays, you have to choose between the following actions
- insert item at index 1: /list/[1]/id/list/1/id
- replace item at index 1: /list/[]/id
- append item
Using the force option, you can enforce insertion or replacement, independent of the syntax (same for the whole query)
`js`
set(data, "/list/[1]/id", 42, set.REPLACE_ITEMS); // will always replace index
// and
set(data, "/list/1/id", 42, set.INSERT_ITEMS); // will always insert at index
Numbers will always be interpreted as arrays
`js
set({}, "/list/0/id", 42); // { list: [{ id: 42 }]}
set({}, "/list/[]/id", 42); // { list: [{ id: 42 }]}
set({}, "/list/[0]/id", 42); // { list: [{ id: 42 }]}
// but setting an index is respected
set({}, "/list/2/id", 42); // { list: [undefined, undefined, { id: 42 }]}
`
In order to treat numbers as objects, escape them using double-quotes
`js`
set({}, '/list/"2"/id', 42); // { list: { 2: { id: 42 } } }
// or "/list/\"2\"/id"
Pattern-queries enable selection of recursive patterns and offer a way to build up a collection of data for further filterung. A pattern uses brackets () to identify repeatable structures and offers multiple selections for the same data-entry.
Using a pattern-query like #/tree((/left),(/right)) will recursively select all left and right*-nodes. e.g.
`js
const data = {
tree: {
left: {
id: "1",
left: { id: "2" },
right: { id: "3" }
},
right: {
id: "4"
}
}
};
const result = get(data, "#/tree((/left),(/right))*/id");
// ["1", "2", "3", "4"]
`
Note that each pattern-queries is resovled using query.get and thus supports all mentioned features.
One use-case for pattern-queries can be found in json-schema specification. Any definition in #/defs may reference itself or be referenced circular. A linear query cannot describe the corresponding data, but pattern-queries might be sufficient.
#### details
A pattern is a simple group defined by brackets: #/a(/b)/c, which is identical to #/a/b/c. But a group may also have a quantifier +: #/a(/b)+/c. Using a quantifier, the query within the pattern will be applied as long as it matches any data. Its combined result will then be passed to /c.
e.g. applying the pattern #/a(/b)+/c on the following input data:
`js`
const input = {
a: {
b: {
c: "1",
b: {
c: "2",
b: {}
}
}
}
};
will first select property a and then repeatedly select property b: [a/b, a/b/b, a/b/b/b]. This result is filtered by c, which will return ["1", "2"] (the last b-object has no property c).
Patterns can also be used for OR-operations. An OR is identified by a semicolon , and must be within and between patterns, like ((/a/b),(/c)). Not valid patterns are (/a/b, /c) and r/(/a/b),(/c)/f.
Currently, using OR is commutative in a sense that ((/a),(/b)) = ((/b),(/a)), (with a different ordering of the resulting set), distributive so that /a((/b), (/c)) = ((/a/b), (/a/c)). Parenthesis without a quantifier are associative, e.g. #/a/b/c = #/a(/b)/c = #/a(/b/c) = #/a(/b)(/c). Thus, a pattern ((/b)(/c))+ can also be written like (/b/c)+.
for further examples refer to the unit tests
- query.delete
- query.get
- query.set
- query.split
- with version v5.0.0 package has been rename to @sagold/json-queryv4.0.0
- with version (2019/10/01)query.get
- the api has been simplified to methods and query.delete (removed run and pattern)v3.0.0
- with version #
- the syntax has changed to es6, which might require code transpilation
- queries for root-pointer (, #/, /) now callback root object with (rootObject, null, null, "#")v2.0.0
- with a negated filter (lookahead), e.g. ?valid:!true will not return objects where valid === undefined. To match objects with missing properties you can still query them explicitly with ?valid:!true||valid:undefined`