Call remote tasks of service workspace #75
@ -1,15 +1,11 @@
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package space.kscience.dataforge.distributed.serialization
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import kotlinx.coroutines.CompletableDeferred
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There is existing class for that There is existing class for that
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import kotlinx.coroutines.CoroutineScope
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There is existing class for that There is existing class for that
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import kotlinx.coroutines.Deferred
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There is existing class for that There is existing class for that
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import kotlinx.serialization.KSerializer
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import kotlinx.serialization.Serializable
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import kotlinx.serialization.json.Json
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import space.kscience.dataforge.data.Data
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import space.kscience.dataforge.data.Goal
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There is existing class for that There is existing class for that
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import space.kscience.dataforge.data.StaticData
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There is existing class for that There is existing class for that
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import space.kscience.dataforge.data.await
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import space.kscience.dataforge.meta.Meta
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There is existing class for that There is existing class for that
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import space.kscience.dataforge.meta.MetaSerializer
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import kotlin.reflect.KType
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@ -22,10 +18,10 @@ internal data class DataPrototype(
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There is existing class for that There is existing class for that
There is existing class for that There is existing class for that
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val data: String,
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) {
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fun <T : Any> toData(type: KType, serializer: KSerializer<T>): Data<T> =
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SimpleData(
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There is existing class for that There is existing class for that
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StaticData(
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There is existing class for that There is existing class for that
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type = type,
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value = Json.decodeFromString(serializer, data),
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There is existing class for that There is existing class for that
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meta = Json.decodeFromString(MetaSerializer, meta),
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data = Json.decodeFromString(serializer, data)
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There is existing class for that There is existing class for that
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)
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companion object {
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@ -36,21 +32,3 @@ internal data class DataPrototype(
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There is existing class for that There is existing class for that
There is existing class for that There is existing class for that
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}
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}
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}
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There is existing class for that There is existing class for that
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/**
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There is existing class for that There is existing class for that
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* Trivial [Data] implementation.
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There is existing class for that There is existing class for that
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*/
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There is existing class for that There is existing class for that
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private class SimpleData<T : Any>(
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There is existing class for that There is existing class for that
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override val type: KType,
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There is existing class for that There is existing class for that
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override val meta: Meta,
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There is existing class for that There is existing class for that
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val data: T,
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There is existing class for that There is existing class for that
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) : Data<T> {
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There is existing class for that There is existing class for that
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override val dependencies: Collection<Goal<*>>
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There is existing class for that There is existing class for that
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get() = emptyList()
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There is existing class for that There is existing class for that
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There is existing class for that There is existing class for that
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override val deferred: Deferred<T>
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There is existing class for that There is existing class for that
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get() = CompletableDeferred(data)
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There is existing class for that There is existing class for that
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There is existing class for that There is existing class for that
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override fun async(coroutineScope: CoroutineScope): Deferred<T> = deferred
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There is existing class for that There is existing class for that
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override fun reset() = Unit
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There is existing class for that There is existing class for that
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}
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There is existing class for that There is existing class for that
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There is existing class for that There is existing class for that
There is existing class for that There is existing class for that
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@ -10,6 +10,7 @@ import space.kscience.dataforge.data.NamedData
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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import space.kscience.dataforge.data.asIterable
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import space.kscience.dataforge.data.component1
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import space.kscience.dataforge.data.component2
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import space.kscience.dataforge.data.named
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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import space.kscience.dataforge.meta.Meta
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import space.kscience.dataforge.names.Name
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import kotlin.reflect.KType
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@ -23,7 +24,7 @@ internal data class DataSetPrototype(val meta: Meta, val data: Map<String, DataP
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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val data = data
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.mapKeys { (name, _) -> Name.of(name) }
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.mapValues { (_, dataPrototype) -> dataPrototype.toData(type, serializer) }
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return SerializableDataSetImpl(type, data, meta)
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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return SimpleDataSet(type, data, meta)
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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}
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companion object {
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@ -40,22 +41,16 @@ internal data class DataSetPrototype(val meta: Meta, val data: Map<String, DataP
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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/**
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* Trivial [DataSet] implementation.
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*/
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private class SerializableDataSetImpl<T : Any>(
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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private class SimpleDataSet<T : Any>(
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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override val dataType: KType,
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private val data: Map<Name, Data<T>>,
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override val meta: Meta,
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) : DataSet<T> {
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/**
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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* Trivial named data implementation.
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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*/
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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private class SimpleNamedData<T : Any>(override val name: Name, override val data: Data<T>) :
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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NamedData<T>, Data<T> by data
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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override fun iterator(): Iterator<NamedData<T>> =
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data
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.asSequence()
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.map { (name, data) -> SimpleNamedData(name, data) }
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|
Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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.map { (name, data) -> data.named(name) }
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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.iterator()
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override fun get(name: Name): Data<T>? = data[name]
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Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
Again, you do not need a separate structure. All you need is a generic DataSet with serializer. Again, you do not need a separate structure. All you need is a generic DataSet with serializer.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
When When `ServiceWorkspace.execute` returns result to the client, it do not know yet about serializer for the `T`. Then `RemoteTask` uses serializer to deserialize DataSet from prototype.
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There is existing class for that
There is existing class for that