Add canonical Json format and external format binding

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sergeych committed 2026-04-25 00:03:00 +03:00
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# Json support
Since 1.0.5 we start adding JSON support. Versions 1,0,6* support serialization of the basic types, including lists and
maps, and simple classes. Multiple inheritance may produce incorrect results, it is work in progress.
Lyng now has two distinct JSON-facing layers:
## Serialization in Lyng
- plain JSON projection:
- `Obj.toJson()`
- `Obj.toJsonString()`
- canonical JSON round-trip format:
- `Json.encode(value)`
- `Json.decode(text)`
Use the first when you need ordinary JSON for interop.
Use the second when you need Lyng value round-trip semantics through JSON text.
This distinction is intentional:
- plain JSON projection is optimized for compatibility with ordinary JSON tooling
- canonical `Json.encode()` is optimized for semantic fidelity to Lyng and Lynon
- these goals conflict for values such as sets, exceptions, singleton objects, buffers, and maps with non-string keys
## Plain JSON projection in Lyng
// in lyng
assertEquals("{\"a\":1}", {a: 1}.toJsonString())
@@ -20,7 +36,8 @@ Simple classes serialization is supported:
assertEquals( "{\"foo\":1,\"bar\":2}", Point(1,2).toJsonString() )
>>> void
Note that mutable members are serialized by default. You can exclude any member (including constructor parameters) from JSON serialization using the `@Transient` attribute:
Note that mutable members are serialized by default. You can exclude any member (including constructor parameters) from
JSON serialization using the `@Transient` attribute:
import lyng.serialization
@@ -31,7 +48,7 @@ Note that mutable members are serialized by default. You can exclude any member
assertEquals( "{\"bar\":2,\"visible\":100}", Point2(1,2).toJsonString() )
>>> void
Note that if you override json serialization:
Note that if you override plain JSON serialization:
import lyng.serialization
@@ -46,8 +63,8 @@ Note that if you override json serialization:
assertEquals( "{\"custom\":true}", Point2(1,2).toJsonString() )
>>> void
Custom serialization of user classes is possible by overriding `toJsonObject` method. It must return an object which is
serializable to Json. Most often it is a map, but any object is accepted, that makes it very flexible:
Custom serialization of user classes is possible by overriding `toJsonObject`. It must return an object which is
serializable to JSON. Most often it is a map, but any object is accepted:
import lyng.serialization
@@ -70,12 +87,49 @@ serializable to Json. Most often it is a map, but any object is accepted, that m
Please note that `toJsonString` should be used to get serialized string representation of the object. Don't call
`toJsonObject` directly, it is not intended to be used outside the serialization library.
## Canonical Json round-trip format
`Json.encode()` and `Json.decode()` are now the JSON equivalents of `Lynon.encode()` and `Lynon.decode()`.
They still use JSON text, but they add Lyng-specific type tags where plain JSON would otherwise lose information.
Example:
```lyng
import lyng.serialization
import lyng.time
enum Color { Red, Green }
class Point(x,y) { var z = 42 }
val p = Point(1,2)
p.z = 99
val value = List(
p,
Map([1, "one"], ["two", 2]),
Set(1,2,3),
"hello".encodeUtf8(),
Date(2026,4,15),
Color.Green
)
assertEquals(value, Json.decode(Json.encode(value)))
```
The canonical `Json` format is intended for Lyng-to-Lyng transfer through JSON text.
The plain `toJson()` projection is intended for ordinary JSON interop.
Canonical `Json.encode()` should be read as the JSON analogue of `Lynon.encode()`: when Lynon already preserves a
Lyng distinction, canonical JSON tries to preserve it too, using tags only where ordinary JSON is insufficient.
## Kotlin side interfaces
The "Batteries included" principle is also applied to serialization.
- `Obj.toJson()` provides Kotlin `JsonElement`
- `Obj.toJsonString()` provides Json string representation
- `Obj.toJson()` provides Kotlin `JsonElement` for the plain JSON projection
- `Obj.toJsonString()` provides plain JSON string representation
- `Obj.decodeSerializableWith()` and `Obj.decodeSerializable()` allows to decode Lyng classes as Kotlin objects using
`kotlinx.serialization`:
@@ -104,10 +158,9 @@ suspend inline fun <reified T> Obj.decodeSerializable(scope: Scope = Scope()) =
decodeSerializableWith<T>(serializer<T>(), scope)
```
Note that lyng-2-kotlin deserialization with `kotlinx.serialization` uses JsonElement as information carrier without
formatting and parsing actual Json strings. This is why we use `Json.decodeFromJsonElement` instead of
`Json.decodeFromString`. Such an approach gives satisfactory performance without writing and supporting custom
`kotlinx.serialization` codecs.
Note that Lyng-to-Kotlin deserialization with `kotlinx.serialization` is based on the plain JSON projection,
not the canonical `Json.encode()` format. It uses `JsonElement` as the information carrier without formatting and
parsing actual JSON strings. This is why we use `Json.decodeFromJsonElement` instead of `Json.decodeFromString`.
### Pitfall: JSON objects and Map<String, Any?>
@@ -134,7 +187,8 @@ fun deserializeMapWithJsonTest() = runTest {
But what if your map has objects of different types? The approach of using polymorphism is partially applicable, but what to do with `{ one: 1, two: "two" }`?
The answer is pretty simple: use `JsonObject` in your deserializable object. This class is capable of holding any JSON types and structures and is sort of a silver bullet for such cases:
The answer is simple: use `JsonObject` in your deserializable object. This class is capable of holding any JSON types
and structures:
~~~kotlin
@Serializable
@@ -154,26 +208,60 @@ fun deserializeAnyMapWithJsonTest() = runTest {
~~~
# List of supported types
## Supported shapes
### Plain JSON projection
| Lyng type | JSON type | notes |
|-----------|-----------|-------------|
| `Int` | number | |
| `Real` | number | |
| `Real` | number | finite values only as plain numbers |
| `String` | string | |
| `Bool` | boolean | |
| `null` | null | |
| `Instant` | string | ISO8601 (1) |
| `List` | array | (2) |
| `Map` | object | (2) |
| `Map` | object | string keys only |
| simple class instance | object | constructor fields + mutable vars |
| enum | string | entry name |
### Canonical `Json.encode`
This format can also round-trip:
- maps with non-string keys
- sets
- immutable collections
- buffers and bit buffers
- class instances
- singleton objects
- enums
- exceptions
- `Date`, `Instant`, `DateTime`
- non-finite reals
- `void`
It does so by adding Lyng-specific type tags only when necessary.
## Kotlin-side extension point for more formats
Additional formats can be exported from Kotlin modules by subclassing `ObjSerializationFormatClass` and registering the
format in module scope with `bindSerializationFormat(...)`.
```kotlin
module.bindSerializationFormat(
object : ObjSerializationFormatClass("MyFormat") {
override suspend fun encodeValue(scope: Scope, value: Obj): Obj = ...
override suspend fun decodeValue(scope: Scope, encoded: Obj): Obj = ...
}
)
```
This makes `MyFormat.encode(...)` and `MyFormat.decode(...)` available from Lyng after importing the module.
(1)
: ISO8601 flavor 1970-05-06T06:00:00.000Z in used; number of fractional digits depends on the truncation
on [Instant](time.md), see `Instant.truncateTo...` functions.
: ISO8601 flavor `1970-05-06T06:00:00.000Z` is used; number of fractional digits depends on truncation on
`Instant`, see `Instant.truncateTo...` functions.
(2)
: List may contain any objects serializable to Json.
(3)
: Map keys must be strings, map values may be any objects serializable to Json.
: Lists may contain any values serializable by the selected JSON layer.
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# Lyng serialization
Lyng has builting binary bit-effective serialization format, called Lynon for LYng Object Notation. It is typed, binary, implements caching, automatic compression, variable-length ints, one-bit Booleans an many nice features.
Lyng has a built-in serialization module, `lyng.serialization`.
There are now two built-in formats with different goals:
- `Lynon`: the canonical binary format for Lyng values.
- `Json`: the canonical JSON-based round-trip format for Lyng values.
In addition, `Obj.toJson()` / `toJsonString()` remain available as a plain JSON projection for interoperability with
regular JSON tools and Kotlin `kotlinx.serialization`.
## Canonical formats
`Lynon` and `Json` are both exposed as format objects with the same surface:
- `Format.encode(value)`
- `Format.decode(encodedValue)`
For the built-in formats:
- `Lynon.encode(x)` returns `BitBuffer`
- `Lynon.decode(bitBuffer)` returns the original Lyng value
- `Json.encode(x)` returns `String`
- `Json.decode(jsonString)` returns the original Lyng value
## Lynon
Lynon is LYng Object Notation. It is typed, binary, bit-effective, implements caching, automatic compression,
variable-length integers, one-bit booleans, and preserves Lyng runtime structure well.
It is as simple as:
@@ -20,7 +47,8 @@ It is as simple as:
assert( text.length > (encodedBits.toBuffer() as Buffer).size )
>>> void
Any class you create is serializable by default; lynon serializes first constructor fields, then any `var` member fields.
Any class you create is serializable by default; Lynon serializes first constructor fields, then any `var` member
fields.
## Transient Fields
@@ -40,7 +68,7 @@ class MyData(@Transient val tempSecret, val publicData) {
Transient fields:
- Are **omitted** from Lynon binary streams.
- Are **omitted** from JSON output (via `toJson`).
- Are **omitted** from JSON output (`toJson`) and canonical `Json.encode(...)`.
- Are **ignored** during structural equality checks (`==`).
- If a transient constructor parameter has a **default value**, it will be restored to that default value during deserialization. Otherwise, it will be `null`.
- Class body fields marked as `@Transient` will keep their initial values (or values assigned in `init`) after deserialization.
@@ -49,8 +77,105 @@ Transient fields:
- **Singleton Objects**: `object` declarations are serializable by name. Their state (mutable fields) is also serialized and restored, respecting `@Transient`.
- **Classes**: Class objects themselves can be serialized. They are serialized by their full qualified name. When converted to JSON, a class object includes its public static fields (excluding those marked `@Transient`).
- **Exceptions**: canonical formats preserve exception class, message, extra data, and captured stack trace.
## Custom Serialization
## Plain JSON projection vs canonical Json format
There are two JSON-related APIs and they serve different purposes:
- `Obj.toJson()` / `toJsonString()`
- produce ordinary JSON values
- best for interop with external JSON systems
- best for `Obj.decodeSerializable()` / `decodeSerializableWith()`
- may be lossy for Lyng-specific structures
- `Json.encode()` / `Json.decode()`
- produce JSON text too
- but use Lyng-specific type tags where needed
- intended for round-tripping Lyng values
- intended to match Lynon semantics where JSON can carry them
- can preserve values that plain JSON cannot represent directly, such as:
- maps with non-string keys
- sets
- buffers and bit buffers
- class instances
- singleton objects
- enums
- exceptions
- date/time objects
- non-finite reals
- `void`
Why this split exists:
- plain `toJson()` must remain ordinary JSON so it stays convenient for external JSON systems and Kotlin
`kotlinx.serialization`
- canonical `Json.encode()` is for Lyng-to-Lyng transport through JSON text, so it must preserve Lyng runtime
distinctions whenever possible
- one API cannot optimize for both goals at once: either you get too many Lyng tags for ordinary JSON interop, or you
get lossy round-trips
Example:
import lyng.serialization
import lyng.time
enum Color { Red, Green }
class Point(x,y) { var z = 42 }
val p = Point(1,2)
p.z = 99
val x = List(
p,
Map([1, "one"], ["two", 2]),
Set(1,2,3),
"hello".encodeUtf8(),
Date(2026,4,15),
Color.Green
)
assertEquals(x, Json.decode(Json.encode(x)))
>>> void
## Adding more formats from Kotlin modules
External modules can add new formats on the Kotlin side.
The common base class is:
```kotlin
abstract class ObjSerializationFormatClass(className: String) : ObjClass(className) {
abstract suspend fun encodeValue(scope: Scope, value: Obj): Obj
abstract suspend fun decodeValue(scope: Scope, encoded: Obj): Obj
}
```
To export a new format from a module:
```kotlin
im.addPackage("test.formats") { module ->
module.bindSerializationFormat(
object : ObjSerializationFormatClass("Reverse") {
override suspend fun encodeValue(scope: Scope, value: Obj): Obj =
ObjString(value.toString(scope).value.reversed())
override suspend fun decodeValue(scope: Scope, encoded: Obj): Obj =
ObjString((encoded as ObjString).value.reversed())
}
)
}
```
Then from Lyng, after importing the Kotlin module above, usage looks like:
```lyng
import test.formats
assertEquals("cba", Reverse.encode("abc"))
assertEquals("abc", Reverse.decode("cba"))
```
## Notes
Important is to understand that normally `Lynon.decode` wants [BitBuffer], as `Lynon.encode` produces. If you have the regular [Buffer], be sure to convert it:
@@ -59,5 +184,3 @@ Important is to understand that normally `Lynon.decode` wants [BitBuffer], as `L
this possibly creates extra zero bits at the end, as bit content could be shorter than byte-grained but for the Lynon format it does not make sense. Note that when you serialize [BitBuffer], exact number of bits is written. To convert bit buffer to bytes:
Lynon.encode("hello").toBuffer()
(topic is incomplete and under construction)
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@@ -327,7 +327,7 @@ Singleton objects are declared using the `object` keyword. They provide a conven
```lyng
object Config {
val version = "1.5.5"
val version = "1.5.6-SNAPSHOT"
fun show() = println("Config version: " + version)
}