v/vlib/x/json2/README.md

json2 was named just to avoid any unwanted potential conflicts with the existing codegen tailored for the main json module which is powered by CJSON.

An experimental version of the JSON parser written from scratch on V.

Usage

import x.json2
import http

fn main() {
    // Decoding
    resp := http.get('https://example.com')?

    // raw decode
    raw_person := json2.raw_decode(resp.text)?

    // Casting `Any` type / Navigating
    person := raw_person.as_map()
    name := person['name'].str() // Bob
    age := person['age'].int() // 19
    pi := person['pi'].f64() // 3.14.... 

    // Constructing an `Any` type
    mut me := map[string]json2.Any
    me['name'] = 'Bob'
    me['age'] = 18

    mut arr := []json2.Any
    arr << 'rock'
    arr << 'papers'
    arr << json2.null()
    arr << 12

    me['interests'] = arr

    mut pets := map[string]json2.Any
    pets['Sam'] = 'Maltese Shitzu' 
    me['pets'] = pets

    // Stringify to JSON
    println(me.str())
    //{"name":"Bob","age":18,"interests":["rock","papers","scissors",null,12],"pets":{"Sam":"Maltese"}}

    // Encode a struct/type to JSON
    encoded_json := json2.encode<Person>(person2)
}

Using decode<T> and encode<T>

Codegen for this feature is still WIP. You need to manually define the methods before using the module to structs.

In order to use the decode<T> and encode<T> function, you need to explicitly define two methods: from_json and to_json. from_json accepts a json2.Any argument and inside of it you need to map the fields you're going to put into the type. As for to_json method, you just need to map the values into json2.Any and turn it into a string.

struct Person {
mut:
    name string
    age  int = 20
    pets []string
}

fn (mut p Person) from_json(f json2.Any) {
    obj := f.as_map()
    for k, v in obj {
        match k {
            'name' { p.name = v.str() }
            'age' { p.age = v.int() }
            'pets' { p.pets = v.arr().map(it.str()) }
            else {}
        }
    }
}

fn (p Person) to_json() string {
    mut obj := map[string]json2.Any
    obj['name'] = p.name
    obj['age'] = p.age
    obj['pets'] = p.pets
    return obj.str()
}

fn main() {
    resp := os.read_file('./person.json')?
    person := json2.decode<Person>(resp)
    println(person) // Person{name: 'Bob', age: 28, pets: ['Floof']}
    person_json := json2.encode<Person>(person)
    println(person_json) // {"name": "Bob", "age": 28, "pets": ["Floof"]}
}

Using struct tags

x.json2 cannot use struct tags just like when you use the json module. However, it emits an Any type when decoding so it can be flexible on the way you use it.

Null Values

x.json2 have a null value for differentiating an undefined value and a null value. Use is for verifying the field you're using is a null.

fn (mut p Person) from_json(f json2.Any) {
    obj := f.as_map()
    if obj['age'] is json2.Null {
        // use a default value
        p.age = 10
    }
}

Custom field names

In json, you can specify the field name you're mapping into the struct field by specifying a json: tag. In x.json2, just simply cast the base field into a map (as_map()) and get the value of the field you wish to put into the struct/type.

fn (mut p Person) from_json(f json2.Any) {
    obj := f.as_map()
    p.name = obj['nickname'].str()
}

fn (mut p Person) to_json() string {
    obj := f.as_map()
    obj['nickname'] = p.name
    return obj.str()
}

Undefined Values

Getting undefined values has the same behavior as regular V types. If you're casting a base field into map[string]json2.Any and fetch an undefined entry/value, it simply returns empty. As for the []json2.Any, it returns an index error.

Casting a value to an incompatible type

x.json2 provides methods for turning Any types into usable types. The following list shows the possible outputs when casting a value to an incompatible type.

1. Casting non-array values as array (arr()) will return an array with the value as the content.
2. Casting non-map values as map (as_map()) will return a map with the value as the content.
3. Casting non-string values to string (str()) will return the stringified representation of the value.
4. Casting non-numeric values to int/float (int()/f64()) will return zero.