Leveraging IDE Gear
To make lifestyles more uncomplicated, I dived into the arsenal of IDE equipment in Android Studio. The usage of regex and In finding/Substitute, I seamlessly built-in kotlinx.serialization
annotations along Gson
annotations.🧰
// Earlier than
@SerializedName("field_name")
val fieldName: String// After
@SerializedName("field_name")
@SerialName("field_name")
val fieldName: String
Function Flags for Protected Merging
Making sure a clean merging of adjustments into the principle department, I used characteristic flags. Take a look at extra about characteristic flags right here. This allowed for a gentle creation of kotlinx.serialization
whilst retaining Gson
as the principle serializer till I used to be certain the transition was once a luck.🚩
if (useKtxSerialization) {
// Use kotlinx.serialization
} else {
// Use Gson
}
Blended Converter for Retrofit
Imposing a mixed converter for Retrofit was once a game-changer. This converter supported each Gson
and kotlinx.serialization
, making the incremental migration of endpoints a breeze whilst retaining our app strong.🚗💨
// Retrofit setup with mixed converter
val retrofit = Retrofit.Builder()
.baseUrl(BASE_URL)
.addConverterFactory(
CombinedConverterFactory(
KotlinxSerializationConverterFactory.create(),
GsonConverterFactory.create()
)
)
.construct()
Polymorphic serialization in kotlinx.serialization
is a breeze. Let’s say now we have a hierarchy of shapes:
@Serializable
@Polymorphic
sealed elegance Form@Serializable
@SerialName("CircleType")
information elegance Circle(val radius: Double) : Form()
@Serializable
@SerialName("SquareType")
information elegance Sq.(val sideLength: Double) : Form()
Now, when serializing an inventory of shapes:
val shapes: Checklist<Form> = listOf(Circle(5.0), Sq.(4.0))
val json = Json.encodeToString(shapes)// JSON
[
{"type":"CircleType","radius":5.0},
{"type":"SquareType","sideLength":4.0}
]
To take on demanding situations with customized serializers and polymorphics, I went all out with complete assessments for complicated serializable items. This proactive method, helped me catch problems early within the migration procedure.🧪
non-public val jsonString = """
{
"some_object": {
"sort": "SOME_TYPE",
"payload" : {
"some_key": "some_value"
}
}
}""".trimIndent()// Instance check for complicated serializable object
@Check
amusing testComplexObjectSerialization() {
// Check common sense the usage of kotlinx.serialization
// Assert statements
val someObject = json.decodeFromString<SomeClass>(jsonString)
assertEquals(
expectedModel, someObject
)
}
To stay our app crusing easily, I presented Gson
as a fallback for kotlinx.serialization
. This twin reinforce allowed me to expectantly navigate surprising demanding situations all through the migration.⚓️
// Fallback common sense in case kotlinx.serialization fails
take a look at {
// Use kotlinx.serialization
} catch (e: SerializationException) {
// Observe exception
// Fallback to Gson
}
To make sure steadiness incrementally, I enlisted tracking equipment to trace problems bobbing up from kotlinx.serialization
utilization. This proactive method helped us establish and unravel demanding situations as they surfaced.🔍📈