Call remote tasks of service workspace #75
@ -1,5 +1,7 @@
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package space.kscience.dataforge.distributed.serialization
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import kotlinx.coroutines.Deferred
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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 kotlinx.coroutines.async
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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 kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.flow.asFlow
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import kotlinx.coroutines.flow.map
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@ -29,11 +31,11 @@ internal data class DataSetPrototype(val data: Map<String, DataPrototype>) {
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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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companion object {
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fun <T : Any> of(dataSet: DataSet<T>): DataSetPrototype = runBlocking {
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val serializer = serializer(dataSet.dataType)
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val map = mutableListOf<Pair<String, DataPrototype>>()
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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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val map = mutableListOf<Pair<String, Deferred<DataPrototype>>>()
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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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dataSet.flowData().map { (name, data) ->
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name.toString() to DataPrototype.of(data, serializer)
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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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name.toString() to async { DataPrototype.of(data, serializer) }
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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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}.toList(map)
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DataSetPrototype(map.associate { it })
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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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DataSetPrototype(map.associate { (name, deferred) -> name to deferred.await() })
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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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fun fromJson(string: String): DataSetPrototype = Json.decodeFromString(serializer(), string)
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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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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
ServiceWorkspace.executereturns result to the client, it do not know yet about serializer for theT. ThenRemoteTaskuses serializer to deserialize DataSet from prototype.When
ServiceWorkspace.executereturns result to the client, it do not know yet about serializer for theT. ThenRemoteTaskuses serializer to deserialize DataSet from prototype.