json is small library for manipulating json data structures.It is useful, when you need to create small json data directly (without java binding).
It is possible to parse json string info java tree like data structure and build java tree like data structure and convert them into json string.
All provided data structures are defined by set of interfaces. Library provides implementation for all of those interfaces. Most of them can be instantiated using factory class JsonFactory.
Generic json value. It is abstract representation of one of JsonObject, JsonArray or one onf JsonLiteral instance. It is not possible to instantiate this type of object.
json object representation with set of named attrinutes. (JsonFactory.object())
json array representation with set of json values. (JsonFactory.array()) .
Generic json literal value. There are set of subclasses of this class.
- JsonBoolLiteral - boolean json literal (true, false) (JsonFactory.boolLiteral())
- JsonExpLiteral - exponential json literal (12E-1, -2E12, ...) (JsonFactory.expLiteral())
- JsonFracLiteral - fraction json literal (12.3, -33.23, ...) (JsonFactory.fracLiteral())
- JsonIntLiteral - int json literal (1, 2212342, ...) (JsonFactory.intLiteral())
- JsonNullLiteral - null json literal (null) (JsonFactory.nullLiteral())
- JsonStringLiteral - string json literal ("foo", "bar", ...) (JsonFactory.stringLiteral())
You can parse json strings easily by calling
String jsonvalue = .....
JsonValue value = JsonParser.parse(jsonvalue);or
Reader jsonvalue = .....
JsonValue value = JsonParser.parse(jsonvalue);You can traverse json tree and produces stream of json values
Useful, when you have big json and you want to extract only small json sub tree at once.
Imagine you have json like
{ "items" : [
{"name": "name-1", "value": 1},
{"name": "name-2", "value": 2},
{"name": "name-3", "value": 3},
{"name": "name-4", "value": 4},
...
]
}
So you can parse whole json and iterate parts. In this case whole json is loaded before traversal. (It is effective for small jsons only)
JsonValue root = JsonParser.parse(inputstream);
root.find(SPM.path("items", "*")).stream()
// or if you want traverse only values
// root.find(SPM.path("items", "*", "value")).stream()This class allows you to read only parts you want. But it is little bit slower.
JsonStream.instance(inputstream, SPM.path("items", "*")).stream();
// or if you want traverse only values
// JsonStream.instance(inputstream, SPM.path("items", "*", "value")).stream();So if you have pretty big json which is json array and you are goinig to process it item by item, you can use JsonStream with path "*".
To obtain string representation of json data structure you can call
JsonValue jsonvalue = .....
String onelinestring = jsonvalue.toCompactString();
String indendedstirng = jsonvalue.toPrettyString("\t");To create simple instances of json data structures you can use JsonFactory class. Than it is possible to use appropriate API from JsonObject or JsonArray to build whole json data structure tree.
This is simple example of such construction of following data structure
{
"name" : "John",
"surname" : "Smith",
"titles" : [
"Mudr.",
"Phd."
]
} JsonObject person = JsonFactory.object()
.add("name", JsonFactory.stringLiteral("John"))
.add("surname", JsonFactory.stringLiteral("Smith"))
.add("titles", JsonFactory.array()
.add(JsonFactory.stringLiteral("Mudr."))
.add(JsonFactory.stringLiteral("Phd."))
);If you have json structure and you can identify some substructure by path, you can find them by calling
JsonObject o = ...
JsonValue v = o.find("menu", "popup", "menuitem", "*", "value").first();
JsonValue v = o.findFirst(SimplePathMatcher.instance("menu", "popup", "menuitem", "*", "value"));
List<JsonValue> list = o.find("menu", "popup", "menuitem", "*", "value").all();
List<JsonValue> list = o.findAll(SimplePathMatcher.instance("menu", "popup", "menuitem", "*", "value"));Character '*' stands for any path item.
If you search for literal values you can call
JsonObject o = ...
Stirng v = o.find("menu", "popup", "menuitem", "*", "value").findLiteral();
Stirng v = o.findFirstLiteral(SimplePathMatcher.instance("menu", "popup", "menuitem", "*", "value"));
List<String> list = o.find("menu", "popup", "menuitem", "*", "value").allLiterals();
List<String> list = o.findAllLiterals(SimplePathMatcher.instance("menu", "popup", "menuitem", "*", "value"));If you search for literal from big structure and you don;t want to parse if first. values you can call following code. But it is faster only for special cases
String value = LiteralParser.firstAsString(
StringSource.instance(json)
, SimplePathMatcher.instance("*", "cars", "*"));It is possible to use WildPathMatcher for searching. In this case there are two types of path elements.
- single wild path element - it is direct name or you van use * and ? to represent more/single characters in single path element. (like "car-*" or "car-??")
- multiple wild path element "**" - it represents any sequence of path elements. JsonObject Example:
List<String> list = o.findAllLiterals(WPM.fromPath("**/person-*/surname"));If you have a json structure and you want to transform it to noindent form or to indent form and you don't want to parse it You can use simplified formatting. It works for well formated json structures only.
The class don't make full parsing of input. Implementation just tries to recognize blank characters and string literals and transform them somehow.
String json = ...
String formatedJson = JsonFormat.from(json).indent(2, ' ').toText();
String formatedJson = JsonFormat.from(json).noindent().toText();Or you can use Reader/Writer version
Reader jsonReader = ...
Writer jsonWriter = ...
JsonFormat.from(jsonReader).indent(" ").toWriter(jsonWriter);
JsonFormat.from(jsonReader).noindent().toWriter(jsonWriter);There is also possible to cut string literals to defined length. This can be useful for logging json which contains very long data (like binaries), which are not necessary to log fully.
String json = ...
String formatedJson = JsonFormat.from(json).indent(" ").cutStringLiterals(50).toText();The result can looks like
{
"name" : "image.jpg",
"bytes" : "VGhlcmUgaXMgYWxzbyBwb3NzaWJsZSB0byBjdXQgc3RyaW5nIGxpdG ..."
} <dependency>
<groupId>io.github.antonsjava</groupId>
<artifactId>json</artifactId>
<version>LATESTVERSION</version>
</dependency>