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Replace sequences by iterators in DataSet

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This commit is contained in:
Alexander Nozik 2022-05-10 14:45:58 +03:00
parent fe92e8fccf
commit a546552540
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GPG Key ID: F7FCF2DD25C71357
25 changed files with 242 additions and 229 deletions
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1
CHANGELOG.md
View File

@ -16,6 +16,7 @@
- PartialEnvelope uses `Int` instead `UInt`.
- `ActiveDataSet` renamed to `DataSource`
- `selectOne`->`getByType`
- Data traversal in `DataSet` is done via iterator
### Deprecated

2
build.gradle.kts
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@ -4,7 +4,7 @@ plugins {
allprojects {
group = "space.kscience"
version = "0.6.0-dev-6"
version = "0.6.0-dev-7"
}
subprojects {

40
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/CachingAction.kt → dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/AbstractAction.kt
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@ -3,6 +3,7 @@ package space.kscience.dataforge.actions
import kotlinx.coroutines.launch
import space.kscience.dataforge.data.*
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.misc.DFInternal
import space.kscience.dataforge.names.Name
import space.kscience.dataforge.names.startsWith
import kotlin.reflect.KType
@ -18,36 +19,47 @@ internal fun MutableMap<Name, *>.removeWhatStartsWith(name: Name) {
/**
* An action that caches results on-demand and recalculates them on source push
*/
public abstract class CachingAction<in T : Any, out R : Any>(
public abstract class AbstractAction<in T : Any, R : Any>(
public val outputType: KType,
) : Action<T, R> {
protected abstract fun transform(
set: DataSet<T>,
/**
* Generate initial content of the output
*/
protected abstract fun DataSetBuilder<R>.generate(
data: DataSet<T>,
meta: Meta,
key: Name = Name.EMPTY,
): Sequence<NamedData<R>>
)
/**
* Update part of the data set when given [updateKey] is triggered by the source
*/
protected open fun DataSourceBuilder<R>.update(
dataSet: DataSet<T>,
meta: Meta,
updateKey: Name,
) {
// By default, recalculate the whole dataset
generate(dataSet, meta)
}
@OptIn(DFInternal::class)
override fun execute(
dataSet: DataSet<T>,
meta: Meta,
): DataSet<R> = if (dataSet is DataSource) {
DataSourceBuilder<R>(outputType, dataSet.coroutineContext).apply {
populateFrom(transform(dataSet, meta))
DataSource(outputType, dataSet){
generate(dataSet, meta)
launch {
dataSet.updates.collect {
//clear old nodes
remove(it)
//collect new items
populateFrom(transform(dataSet, meta, it))
//FIXME if the target is data, updates are fired twice
dataSet.updates.collect { name ->
update(dataSet, meta, name)
}
}
}
} else {
DataTree<R>(outputType) {
populateFrom(transform(dataSet, meta))
generate(dataSet, meta)
}
}
}

76
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/MapAction.kt
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@ -1,6 +1,5 @@
package space.kscience.dataforge.actions
import kotlinx.coroutines.launch
import space.kscience.dataforge.data.*
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.meta.MutableMeta
@ -53,61 +52,44 @@ public class MapActionBuilder<T, R>(
}
@PublishedApi
internal class MapAction<in T : Any, out R : Any>(
private val outputType: KType,
internal class MapAction<in T : Any, R : Any>(
outputType: KType,
private val block: MapActionBuilder<T, R>.() -> Unit,
) : Action<T, R> {
) : AbstractAction<T, R>(outputType) {
override fun execute(
dataSet: DataSet<T>,
meta: Meta,
): DataSet<R> {
private fun DataSetBuilder<R>.mapOne(name: Name, data: Data<T>, meta: Meta) {
// Creating a new environment for action using **old** name, old meta and task meta
val env = ActionEnv(name, data.meta, meta)
fun mapOne(data: NamedData<T>): NamedData<R> {
// Creating a new environment for action using **old** name, old meta and task meta
val env = ActionEnv(data.name, data.meta, meta)
//applying transformation from builder
val builder = MapActionBuilder<T, R>(
name,
data.meta.toMutableMeta(), // using data meta
meta,
outputType
).apply(block)
//applying transformation from builder
val builder = MapActionBuilder<T, R>(
data.name,
data.meta.toMutableMeta(), // using data meta
meta,
outputType
).apply(block)
//getting new name
val newName = builder.name
//getting new name
val newName = builder.name
//getting new meta
val newMeta = builder.meta.seal()
//getting new meta
val newMeta = builder.meta.seal()
@OptIn(DFInternal::class)
val newData = Data(builder.outputType, newMeta, dependencies = listOf(data)) {
builder.result(env, data.await())
}
//setting the data node
return newData.named(newName)
@OptIn(DFInternal::class)
val newData = Data(builder.outputType, newMeta, dependencies = listOf(data)) {
builder.result(env, data.await())
}
//setting the data node
data(newName, newData)
}
val sequence = dataSet.traverse().map(::mapOne)
override fun DataSetBuilder<R>.generate(data: DataSet<T>, meta: Meta) {
data.forEach { mapOne(it.name, it.data, meta) }
}
return if (dataSet is DataSource ) {
ActiveDataTree(outputType, dataSet) {
populateFrom(sequence)
launch {
dataSet.updates.collect { name ->
//clear old nodes
remove(name)
//collect new items
populateFrom(dataSet.children(name).map(::mapOne))
}
}
}
} else {
DataTree(outputType) {
populateFrom(sequence)
}
}
override fun DataSourceBuilder<R>.update(dataSet: DataSet<T>, meta: Meta, updateKey: Name) {
remove(updateKey)
dataSet[updateKey]?.let { mapOne(updateKey, it, meta) }
}
}

11
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/ReduceAction.kt
View File

@ -81,13 +81,12 @@ public class ReduceGroupBuilder<T : Any, R : Any>(
internal class ReduceAction<T : Any, R : Any>(
outputType: KType,
private val action: ReduceGroupBuilder<T, R>.() -> Unit,
) : CachingAction<T, R>(outputType) {
) : AbstractAction<T, R>(outputType) {
//TODO optimize reduction. Currently, the whole action recalculates on push
override fun transform(set: DataSet<T>, meta: Meta, key: Name): Sequence<NamedData<R>> = sequence {
ReduceGroupBuilder<T, R>(meta, outputType).apply(action).buildGroups(set).forEach { group ->
val dataFlow: Map<Name, Data<T>> = group.set.traverse().fold(HashMap()) { acc, value ->
override fun DataSetBuilder<R>.generate(data: DataSet<T>, meta: Meta) {
ReduceGroupBuilder<T, R>(meta, outputType).apply(action).buildGroups(data).forEach { group ->
val dataFlow: Map<Name, Data<T>> = group.set.asSequence().fold(HashMap()) { acc, value ->
acc.apply {
acc[value.name] = value.data
}
@ -103,7 +102,7 @@ internal class ReduceAction<T : Any, R : Any>(
meta = groupMeta
) { group.result.invoke(env, it) }
yield(res.named(env.name))
data(env.name, res)
}
}
}

67
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/SplitAction.kt
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@ -1,13 +1,11 @@
package space.kscience.dataforge.actions
import kotlinx.coroutines.launch
import space.kscience.dataforge.data.*
import space.kscience.dataforge.meta.Laminate
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.meta.MutableMeta
import space.kscience.dataforge.meta.toMutableMeta
import space.kscience.dataforge.misc.DFExperimental
import space.kscience.dataforge.misc.DFInternal
import space.kscience.dataforge.names.Name
import kotlin.collections.set
import kotlin.reflect.KType
@ -46,53 +44,42 @@ public class SplitBuilder<T : Any, R : Any>(public val name: Name, public val me
*/
@PublishedApi
internal class SplitAction<T : Any, R : Any>(
private val outputType: KType,
outputType: KType,
private val action: SplitBuilder<T, R>.() -> Unit,
) : Action<T, R> {
) : AbstractAction<T, R>(outputType) {
override fun execute(
dataSet: DataSet<T>,
meta: Meta,
): DataSet<R> {
private fun DataSetBuilder<R>.splitOne(name: Name, data: Data<T>, meta: Meta) {
val laminate = Laminate(data.meta, meta)
fun splitOne(data: NamedData<T>): Sequence<NamedData<R>> {
val laminate = Laminate(data.meta, meta)
val split = SplitBuilder<T, R>(data.name, data.meta).apply(action)
val split = SplitBuilder<T, R>(name, data.meta).apply(action)
// apply individual fragment rules to result
return split.fragments.entries.asSequence().map { (fragmentName, rule) ->
val env = SplitBuilder.FragmentRule<T, R>(
fragmentName,
laminate.toMutableMeta(),
outputType
).apply(rule)
//data.map<R>(outputType, meta = env.meta) { env.result(it) }.named(fragmentName)
@OptIn(DFInternal::class) Data(outputType, meta = env.meta, dependencies = listOf(data)) {
// apply individual fragment rules to result
split.fragments.forEach { (fragmentName, rule) ->
val env = SplitBuilder.FragmentRule<T, R>(
fragmentName,
laminate.toMutableMeta(),
outputType
).apply(rule)
//data.map<R>(outputType, meta = env.meta) { env.result(it) }.named(fragmentName)
data(
fragmentName,
@Suppress("OPT_IN_USAGE") Data(outputType, meta = env.meta, dependencies = listOf(data)) {
env.result(data.await())
}.named(fragmentName)
}
}
return if (dataSet is DataSource) {
ActiveDataTree<R>(outputType, dataSet) {
populateFrom(dataSet.traverse().flatMap(transform = ::splitOne))
launch {
dataSet.updates.collect { name ->
//clear old nodes
remove(name)
//collect new items
populateFrom(dataSet.children(name).flatMap(transform = ::splitOne))
}
}
}
} else {
DataTree<R>(outputType) {
populateFrom(dataSet.traverse().flatMap(transform = ::splitOne))
}
)
}
}
override fun DataSetBuilder<R>.generate(data: DataSet<T>, meta: Meta) {
data.forEach { splitOne(it.name, it.data, meta) }
}
override fun DataSourceBuilder<R>.update(dataSet: DataSet<T>, meta: Meta, updateKey: Name) {
remove(updateKey)
dataSet[updateKey]?.let { splitOne(updateKey, it, meta) }
}
}
/**

43
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataSet.kt
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@ -7,7 +7,10 @@ import kotlinx.coroutines.flow.mapNotNull
import space.kscience.dataforge.data.Data.Companion.TYPE_OF_NOTHING
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.meta.set
import space.kscience.dataforge.names.*
import space.kscience.dataforge.names.Name
import space.kscience.dataforge.names.asName
import space.kscience.dataforge.names.endsWith
import space.kscience.dataforge.names.parseAsName
import kotlin.reflect.KType
public interface DataSet<out T : Any> {
@ -25,7 +28,7 @@ public interface DataSet<out T : Any> {
/**
* Traverse this [DataSet] returning named data instances. The order is not guaranteed.
*/
public fun traverse(): Sequence<NamedData<T>>
public operator fun iterator(): Iterator<NamedData<T>>
/**
* Get data with given name.
@ -42,19 +45,27 @@ public interface DataSet<out T : Any> {
override val dataType: KType = TYPE_OF_NOTHING
override val meta: Meta get() = Meta.EMPTY
override fun traverse(): Sequence<NamedData<Nothing>> = emptySequence()
override fun iterator(): Iterator<NamedData<Nothing>> = emptySequence<NamedData<Nothing>>().iterator()
override fun get(name: Name): Data<Nothing>? = null
}
}
}
public fun <T : Any> DataSet<T>.asSequence(): Sequence<NamedData<T>> = object : Sequence<NamedData<T>> {
override fun iterator(): Iterator<NamedData<T>> = this@asSequence.iterator()
}
public fun <T : Any> DataSet<T>.asIterable(): Iterable<NamedData<T>> = object : Iterable<NamedData<T>> {
override fun iterator(): Iterator<NamedData<T>> = this@asIterable.iterator()
}
public operator fun <T : Any> DataSet<T>.get(name: String): Data<T>? = get(name.parseAsName())
/**
* A [DataSet] with propagated updates.
*/
public interface DataSource<T : Any> : DataSet<T>, CoroutineScope {
public interface DataSource<out T : Any> : DataSet<T>, CoroutineScope {
/**
* A flow of updated item names. Updates are propagated in a form of [Flow] of names of updated nodes.
@ -73,28 +84,28 @@ public interface DataSource<T : Any> : DataSet<T>, CoroutineScope {
}
public val <T : Any> DataSet<T>.updates: Flow<Name> get() = if (this is DataSource) updates else emptyFlow()
/**
* Flow all data nodes with names starting with [branchName]
*/
public fun <T : Any> DataSet<T>.children(branchName: Name): Sequence<NamedData<T>> =
this@children.traverse().filter {
it.name.startsWith(branchName)
}
//
///**
// * Flow all data nodes with names starting with [branchName]
// */
//public fun <T : Any> DataSet<T>.children(branchName: Name): Sequence<NamedData<T>> =
// this@children.asSequence().filter {
// it.name.startsWith(branchName)
// }
/**
* Start computation for all goals in data node and return a job for the whole node
*/
public fun <T : Any> DataSet<T>.startAll(coroutineScope: CoroutineScope): Job = coroutineScope.launch {
traverse().map {
asIterable().map {
it.launch(this@launch)
}.toList().joinAll()
}.joinAll()
}
public suspend fun <T : Any> DataSet<T>.join(): Unit = coroutineScope { startAll(this).join() }
public suspend fun DataSet<*>.toMeta(): Meta = Meta {
traverse().forEach {
public fun DataSet<*>.toMeta(): Meta = Meta {
forEach {
if (it.name.endsWith(DataSet.META_KEY)) {
set(it.name, it.meta)
} else {

4
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataSetBuilder.kt
View File

@ -28,7 +28,7 @@ public interface DataSetBuilder<in T : Any> {
}
//Set new items
dataSet.traverse().forEach {
dataSet.forEach {
data(name + it.name, it.data)
}
}
@ -146,7 +146,7 @@ public inline fun <reified T : Any> DataSetBuilder<T>.static(
*/
@DFExperimental
public fun <T : Any> DataSetBuilder<T>.populateFrom(tree: DataSet<T>): Unit {
tree.traverse().forEach {
tree.forEach {
//TODO check if the place is occupied
data(it.name, it.data)
}

4
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataTree.kt
View File

@ -39,12 +39,12 @@ public interface DataTree<out T : Any> : DataSet<T> {
override val meta: Meta get() = items[META_ITEM_NAME_TOKEN]?.meta ?: Meta.EMPTY
override fun traverse(): Sequence<NamedData<T>> = sequence {
override fun iterator(): Iterator<NamedData<T>> = iterator {
items.forEach { (token, childItem: DataTreeItem<T>) ->
if (!token.body.startsWith("@")) {
when (childItem) {
is DataTreeItem.Leaf -> yield(childItem.data.named(token.asName()))
is DataTreeItem.Node -> yieldAll(childItem.tree.traverse().map { it.named(token + it.name) })
is DataTreeItem.Node -> yieldAll(childItem.tree.asSequence().map { it.named(token + it.name) })
}
}
}

54
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataSourceBuilder.kt → dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataTreeBuilder.kt
View File

@ -3,9 +3,9 @@ package space.kscience.dataforge.data
import kotlinx.coroutines.CoroutineScope
import kotlinx.coroutines.Job
import kotlinx.coroutines.flow.MutableSharedFlow
import kotlinx.coroutines.flow.SharedFlow
import kotlinx.coroutines.launch
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.misc.DFInternal
import space.kscience.dataforge.names.*
import kotlin.collections.set
import kotlin.coroutines.CoroutineContext
@ -14,13 +14,19 @@ import kotlin.jvm.Synchronized
import kotlin.reflect.KType
import kotlin.reflect.typeOf
public interface DataSourceBuilder<T : Any> : DataSetBuilder<T>, DataSource<T> {
override val updates: MutableSharedFlow<Name>
}
/**
* A mutable [DataTree] that propagates updates
*/
public class DataSourceBuilder<T : Any>(
@PublishedApi
internal class DataTreeBuilder<T : Any>(
override val dataType: KType,
coroutineContext: CoroutineContext,
) : DataTree<T>, DataSetBuilder<T>, DataSource<T> {
) : DataTree<T>, DataSourceBuilder<T> {
override val coroutineContext: CoroutineContext =
coroutineContext + Job(coroutineContext[Job]) + GoalExecutionRestriction()
@ -29,23 +35,20 @@ public class DataSourceBuilder<T : Any>(
override val items: Map<NameToken, DataTreeItem<T>>
get() = treeItems.filter { !it.key.body.startsWith("@") }
private val _updates = MutableSharedFlow<Name>()
override val updates: SharedFlow<Name>
get() = _updates
override val updates = MutableSharedFlow<Name>()
@Synchronized
private fun remove(token: NameToken) {
if (treeItems.remove(token) != null) {
launch {
_updates.emit(token.asName())
updates.emit(token.asName())
}
}
}
override fun remove(name: Name) {
if (name.isEmpty()) error("Can't remove the root node")
(getItem(name.cutLast()).tree as? DataSourceBuilder)?.remove(name.lastOrNull()!!)
(getItem(name.cutLast()).tree as? DataTreeBuilder)?.remove(name.lastOrNull()!!)
}
@Synchronized
@ -58,11 +61,11 @@ public class DataSourceBuilder<T : Any>(
treeItems[token] = DataTreeItem.Node(node)
}
private fun getOrCreateNode(token: NameToken): DataSourceBuilder<T> =
(treeItems[token] as? DataTreeItem.Node<T>)?.tree as? DataSourceBuilder<T>
?: DataSourceBuilder<T>(dataType, coroutineContext).also { set(token, it) }
private fun getOrCreateNode(token: NameToken): DataTreeBuilder<T> =
(treeItems[token] as? DataTreeItem.Node<T>)?.tree as? DataTreeBuilder<T>
?: DataTreeBuilder<T>(dataType, coroutineContext).also { set(token, it) }
private fun getOrCreateNode(name: Name): DataSourceBuilder<T> = when (name.length) {
private fun getOrCreateNode(name: Name): DataTreeBuilder<T> = when (name.length) {
0 -> this
1 -> getOrCreateNode(name.firstOrNull()!!)
else -> getOrCreateNode(name.firstOrNull()!!).getOrCreateNode(name.cutFirst())
@ -79,7 +82,7 @@ public class DataSourceBuilder<T : Any>(
}
}
launch {
_updates.emit(name)
updates.emit(name)
}
}
@ -91,32 +94,39 @@ public class DataSourceBuilder<T : Any>(
}
/**
* Create a dynamic tree. Initial data is placed synchronously.
* Create a dynamic [DataSource]. Initial data is placed synchronously.
*/
@DFInternal
@Suppress("FunctionName")
public fun <T : Any> ActiveDataTree(
public fun <T : Any> DataSource(
type: KType,
parent: CoroutineScope,
block: DataSourceBuilder<T>.() -> Unit,
): DataSourceBuilder<T> {
val tree = DataSourceBuilder<T>(type, parent.coroutineContext)
): DataSource<T> {
val tree = DataTreeBuilder<T>(type, parent.coroutineContext)
tree.block()
return tree
}
@Suppress("OPT_IN_USAGE","FunctionName")
public inline fun <reified T : Any> DataSource(
parent: CoroutineScope,
crossinline block: DataSourceBuilder<T>.() -> Unit,
): DataSource<T> = DataSource(typeOf<T>(), parent) { block() }
@Suppress("FunctionName")
public suspend inline fun <reified T : Any> ActiveDataTree(
public suspend inline fun <reified T : Any> DataSource(
crossinline block: DataSourceBuilder<T>.() -> Unit = {},
): DataSourceBuilder<T> = DataSourceBuilder<T>(typeOf<T>(), coroutineContext).apply { block() }
): DataSourceBuilder<T> = DataTreeBuilder<T>(typeOf<T>(), coroutineContext).apply { block() }
public inline fun <reified T : Any> DataSourceBuilder<T>.emit(
name: Name,
parent: CoroutineScope,
noinline block: DataSourceBuilder<T>.() -> Unit,
): Unit = node(name, ActiveDataTree(typeOf<T>(), parent, block))
): Unit = node(name, DataSource(parent, block))
public inline fun <reified T : Any> DataSourceBuilder<T>.emit(
name: String,
parent: CoroutineScope,
noinline block: DataSourceBuilder<T>.() -> Unit,
): Unit = node(Name.parse(name), ActiveDataTree(typeOf<T>(), parent, block))
): Unit = node(Name.parse(name), DataSource(parent, block))

10
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/GroupRule.kt
View File

@ -18,6 +18,7 @@ package space.kscience.dataforge.data
import kotlinx.coroutines.launch
import space.kscience.dataforge.meta.get
import space.kscience.dataforge.meta.string
import space.kscience.dataforge.misc.DFInternal
public interface GroupRule {
public fun <T : Any> gather(set: DataSet<T>): Map<String, DataSet<T>>
@ -31,6 +32,7 @@ public interface GroupRule {
* @param defaultTagValue
* @return
*/
@OptIn(DFInternal::class)
public fun byMetaValue(
key: String,
defaultTagValue: String,
@ -42,9 +44,9 @@ public interface GroupRule {
val map = HashMap<String, DataSet<T>>()
if (set is DataSource) {
set.traverse().forEach { data ->
set.forEach { data ->
val tagValue: String = data.meta[key]?.string ?: defaultTagValue
(map.getOrPut(tagValue) { DataSourceBuilder(set.dataType, set.coroutineContext) } as DataSourceBuilder<T>)
(map.getOrPut(tagValue) { DataTreeBuilder(set.dataType, set.coroutineContext) } as DataTreeBuilder<T>)
.data(data.name, data.data)
set.launch {
@ -53,7 +55,7 @@ public interface GroupRule {
val updateTagValue = dataUpdate?.meta?.get(key)?.string ?: defaultTagValue
map.getOrPut(updateTagValue) {
ActiveDataTree(set.dataType, this) {
DataSource(set.dataType, this) {
data(name, dataUpdate)
}
}
@ -61,7 +63,7 @@ public interface GroupRule {
}
}
} else {
set.traverse().forEach { data ->
set.forEach { data ->
val tagValue: String = data.meta[key]?.string ?: defaultTagValue
(map.getOrPut(tagValue) { StaticDataTree(set.dataType) } as StaticDataTree<T>)
.data(data.name, data.data)

2
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/StaticDataTree.kt
View File

@ -52,7 +52,7 @@ internal class StaticDataTree<T : Any>(
if (dataSet is StaticDataTree) {
set(name, DataTreeItem.Node(dataSet))
} else {
dataSet.traverse().forEach {
dataSet.forEach {
data(name + it.name, it.data)
}
}

24
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/dataFilter.kt
View File

@ -30,8 +30,13 @@ public fun <T : Any> DataSet<T>.filter(
override val meta: Meta get() = this@filter.meta
override fun traverse(): Sequence<NamedData<T>> =
this@filter.traverse().filter { predicate(it.name, it.meta) }
override fun iterator(): Iterator<NamedData<T>> = iterator {
for(d in this@filter){
if(predicate(d.name, d.meta)){
yield(d)
}
}
}
override fun get(name: Name): Data<T>? = this@filter.get(name)?.takeIf {
predicate(name, it.meta)
@ -58,8 +63,11 @@ public fun <T : Any> DataSet<T>.withNamePrefix(prefix: Name): DataSet<T> = if (p
override val meta: Meta get() = this@withNamePrefix.meta
override fun traverse(): Sequence<NamedData<T>> =
this@withNamePrefix.traverse().map { it.data.named(prefix + it.name) }
override fun iterator(): Iterator<NamedData<T>> = iterator {
for(d in this@withNamePrefix){
yield(d.data.named(prefix + d.name))
}
}
override fun get(name: Name): Data<T>? =
name.removeHeadOrNull(name)?.let { this@withNamePrefix.get(it) }
@ -80,9 +88,11 @@ public fun <T : Any> DataSet<T>.branch(branchName: Name): DataSet<T> = if (branc
override val meta: Meta get() = this@branch.meta
override fun traverse(): Sequence<NamedData<T>> = this@branch.traverse().mapNotNull {
it.name.removeHeadOrNull(branchName)?.let { name ->
it.data.named(name)
override fun iterator(): Iterator<NamedData<T>> = iterator {
for(d in this@branch){
d.name.removeHeadOrNull(branchName)?.let { name ->
yield(d.data.named(name))
}
}
}

31
dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/dataTransform.kt
View File

@ -7,8 +7,6 @@ import space.kscience.dataforge.meta.seal
import space.kscience.dataforge.meta.toMutableMeta
import space.kscience.dataforge.misc.DFInternal
import space.kscience.dataforge.names.Name
import kotlin.contracts.InvocationKind
import kotlin.contracts.contract
import kotlin.coroutines.CoroutineContext
import kotlin.coroutines.EmptyCoroutineContext
import kotlin.reflect.KType
@ -16,11 +14,12 @@ import kotlin.reflect.typeOf
public data class ValueWithMeta<T>(val meta: Meta, val value: T)
public suspend fun <T: Any> Data<T>.awaitWithMeta(): ValueWithMeta<T> = ValueWithMeta(meta, await())
public suspend fun <T : Any> Data<T>.awaitWithMeta(): ValueWithMeta<T> = ValueWithMeta(meta, await())
public data class NamedValueWithMeta<T>(val name: Name, val meta: Meta, val value: T)
public suspend fun <T: Any> NamedData<T>.awaitWithMeta(): NamedValueWithMeta<T> = NamedValueWithMeta(name, meta, await())
public suspend fun <T : Any> NamedData<T>.awaitWithMeta(): NamedValueWithMeta<T> =
NamedValueWithMeta(name, meta, await())
/**
@ -187,14 +186,13 @@ public suspend fun <T : Any, R : Any> DataSet<T>.map(
metaTransform: MutableMeta.() -> Unit = {},
block: suspend (NamedValueWithMeta<T>) -> R,
): DataTree<R> = DataTree<R>(outputType) {
populateFrom(
traverse().map {
val newMeta = it.meta.toMutableMeta().apply(metaTransform).seal()
Data(outputType, newMeta, coroutineContext, listOf(it)) {
block(it.awaitWithMeta())
}.named(it.name)
forEach {
val newMeta = it.meta.toMutableMeta().apply(metaTransform).seal()
val d = Data(outputType, newMeta, coroutineContext, listOf(it)) {
block(it.awaitWithMeta())
}
)
data(it.name, d)
}
}
@OptIn(DFInternal::class)
@ -204,10 +202,9 @@ public suspend inline fun <T : Any, reified R : Any> DataSet<T>.map(
noinline block: suspend (NamedValueWithMeta<T>) -> R,
): DataTree<R> = map(typeOf<R>(), coroutineContext, metaTransform, block)
public suspend fun <T : Any> DataSet<T>.forEach(block: suspend (NamedData<T>) -> Unit) {
contract { callsInPlace(block, InvocationKind.EXACTLY_ONCE) }
traverse().forEach {
block(it)
public inline fun <T : Any> DataSet<T>.forEach(block: (NamedData<T>) -> Unit) {
for (d in this) {
block(d)
}
}
@ -215,11 +212,11 @@ public inline fun <T : Any, reified R : Any> DataSet<T>.reduceToData(
coroutineContext: CoroutineContext = EmptyCoroutineContext,
meta: Meta = Meta.EMPTY,
crossinline transformation: suspend (Iterable<NamedValueWithMeta<T>>) -> R,
): Data<R> = traverse().asIterable().reduceNamedToData(coroutineContext, meta, transformation)
): Data<R> = asIterable().reduceNamedToData(coroutineContext, meta, transformation)
public inline fun <T : Any, reified R : Any> DataSet<T>.foldToData(
initial: R,
coroutineContext: CoroutineContext = EmptyCoroutineContext,
meta: Meta = Meta.EMPTY,
crossinline block: suspend (result: R, data: NamedValueWithMeta<T>) -> R,
): Data<R> = traverse().asIterable().foldNamedToData(initial, coroutineContext, meta, block)
): Data<R> = asIterable().foldNamedToData(initial, coroutineContext, meta, block)

14
dataforge-data/src/jvmMain/kotlin/space/kscience/dataforge/data/dataFilterJvm.kt
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@ -5,7 +5,6 @@ import kotlinx.coroutines.flow.filter
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.misc.DFExperimental
import space.kscience.dataforge.names.Name
import space.kscience.dataforge.names.matches
import kotlin.coroutines.CoroutineContext
import kotlin.coroutines.EmptyCoroutineContext
import kotlin.reflect.KType
@ -29,7 +28,6 @@ private fun <R : Any> Data<*>.castOrNull(type: KType): Data<R>? =
/**
* Select all data matching given type and filters. Does not modify paths
*
* @param namePattern a name match patter according to [Name.matches]
* @param predicate addition filtering condition based on item name and meta. By default, accepts all
*/
@OptIn(DFExperimental::class)
@ -47,11 +45,13 @@ public fun <R : Any> DataSet<*>.filterByType(
private fun checkDatum(name: Name, datum: Data<*>): Boolean = datum.type.isSubtypeOf(type)
&& predicate(name, datum.meta)
override fun traverse(): Sequence<NamedData<R>> = this@filterByType.traverse().filter {
checkDatum(it.name, it.data)
}.map {
@Suppress("UNCHECKED_CAST")
it as NamedData<R>
override fun iterator(): Iterator<NamedData<R>> = iterator {
for(d in this@filterByType){
if(checkDatum(d.name,d.data)){
@Suppress("UNCHECKED_CAST")
yield(d as NamedData<R>)
}
}
}
override fun get(name: Name): Data<R>? = this@filterByType[name]?.let { datum ->

2
dataforge-data/src/jvmMain/kotlin/space/kscience/dataforge/data/dataSetBuilderInContext.kt
View File

@ -27,7 +27,7 @@ context(DataSetBuilder<T>) public infix fun <T : Any> String.put(
): Unit = node(Name.parse(this), block)
/**
* Copy given data set and mirror its changes to this [DataSourceBuilder] in [this@setAndObserve]. Returns an update [Job]
* Copy given data set and mirror its changes to this [DataTreeBuilder] in [this@setAndObserve]. Returns an update [Job]
*/
context(DataSetBuilder<T>) public fun <T : Any> CoroutineScope.setAndWatch(
name: Name,

5
dataforge-data/src/jvmTest/kotlin/space/kscience/dataforge/data/ActionsTest.kt
View File

@ -1,5 +1,6 @@
package space.kscience.dataforge.data
import kotlinx.coroutines.ExperimentalCoroutinesApi
import kotlinx.coroutines.delay
import kotlinx.coroutines.test.runTest
import org.junit.jupiter.api.Test
@ -9,7 +10,7 @@ import space.kscience.dataforge.actions.map
import space.kscience.dataforge.misc.DFExperimental
import kotlin.test.assertEquals
@OptIn(DFExperimental::class)
@OptIn(DFExperimental::class, ExperimentalCoroutinesApi::class)
internal class ActionsTest {
@Test
fun testStaticMapAction() = runTest {
@ -28,7 +29,7 @@ internal class ActionsTest {
@Test
fun testDynamicMapAction() = runTest {
val data: DataSourceBuilder<Int> = ActiveDataTree()
val data: DataSourceBuilder<Int> = DataSource()
val plusOne = Action.map<Int, Int> {
result { it + 1 }

4
dataforge-data/src/jvmTest/kotlin/space/kscience/dataforge/data/DataTreeBuilderTest.kt
View File

@ -56,7 +56,7 @@ internal class DataTreeBuilderTest {
try {
lateinit var updateJob: Job
supervisorScope {
val subNode = ActiveDataTree<Int> {
val subNode = DataSource<Int> {
updateJob = launch {
repeat(10) {
delay(10)
@ -70,7 +70,7 @@ internal class DataTreeBuilderTest {
println(it)
}
}
val rootNode = ActiveDataTree<Int> {
val rootNode = DataSource<Int> {
setAndWatch("sub".asName(), subNode)
}

1
dataforge-meta/src/commonMain/kotlin/space/kscience/dataforge/meta/Meta.kt
View File

@ -133,6 +133,7 @@ public fun Meta.getIndexed(name: Name): Map<String?, Meta> {
}
}
public fun Meta.getIndexed(name: String): Map<String?, Meta> = getIndexed(name.parseAsName())
/**
* A meta node that ensures that all of its descendants has at least the same type.

9
dataforge-workspace/src/commonMain/kotlin/space/kscience/dataforge/workspace/TaskResult.kt
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@ -1,6 +1,7 @@
package space.kscience.dataforge.workspace
import space.kscience.dataforge.data.DataSet
import space.kscience.dataforge.data.forEach
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.names.Name
@ -23,7 +24,7 @@ public interface TaskResult<out T : Any> : DataSet<T> {
*/
public val taskMeta: Meta
override fun traverse(): Sequence<TaskData<T>>
override fun iterator(): Iterator<TaskData<T>>
override fun get(name: Name): TaskData<T>?
}
@ -34,8 +35,10 @@ private class TaskResultImpl<out T : Any>(
override val taskMeta: Meta,
) : TaskResult<T>, DataSet<T> by dataSet {
override fun traverse(): Sequence<TaskData<T>> = dataSet.traverse().map {
workspace.wrapData(it, it.name, taskName, taskMeta)
override fun iterator(): Iterator<TaskData<T>> = iterator {
dataSet.forEach {
yield(workspace.wrapData(it, it.name, taskName, taskMeta))
}
}
override fun get(name: Name): TaskData<T>? = dataSet.get(name)?.let {

3
dataforge-workspace/src/commonMain/kotlin/space/kscience/dataforge/workspace/Workspace.kt
View File

@ -3,6 +3,7 @@ package space.kscience.dataforge.workspace
import space.kscience.dataforge.context.ContextAware
import space.kscience.dataforge.data.Data
import space.kscience.dataforge.data.DataSet
import space.kscience.dataforge.data.asSequence
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.meta.MutableMeta
import space.kscience.dataforge.misc.Type
@ -35,7 +36,7 @@ public interface Workspace : ContextAware, Provider {
return when (target) {
"target", Meta.TYPE -> targets.mapKeys { Name.parse(it.key)}
Task.TYPE -> tasks
Data.TYPE -> data.traverse().associateBy { it.name }
Data.TYPE -> data.asSequence().associateBy { it.name }
else -> emptyMap()
}
}

6
dataforge-workspace/src/commonMain/kotlin/space/kscience/dataforge/workspace/WorkspaceBuilder.kt
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@ -15,11 +15,9 @@ import space.kscience.dataforge.misc.DFBuilder
import space.kscience.dataforge.misc.DFExperimental
import space.kscience.dataforge.names.Name
import space.kscience.dataforge.names.asName
import kotlin.collections.HashMap
import kotlin.collections.set
import kotlin.properties.PropertyDelegateProvider
import kotlin.properties.ReadOnlyProperty
import kotlin.reflect.typeOf
public data class TaskReference<T : Any>(public val taskName: Name, public val task: Task<T>) : DataSelector<T> {
@ -106,8 +104,8 @@ public class WorkspaceBuilder(private val parentContext: Context = Global) : Tas
}
@DFExperimental
public fun buildActiveData(scope: CoroutineScope, builder: DataSourceBuilder<Any>.() -> Unit) {
data = ActiveDataTree(typeOf<Any>(), scope, builder)
public fun data(scope: CoroutineScope, builder: DataSourceBuilder<Any>.() -> Unit) {
data = DataSource(scope, builder)
}
/**

2
dataforge-workspace/src/jvmMain/kotlin/space/kscience/dataforge/workspace/workspaceJvm.kt
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@ -3,6 +3,7 @@ package space.kscience.dataforge.workspace
import space.kscience.dataforge.data.DataSet
import space.kscience.dataforge.data.filterByType
import space.kscience.dataforge.meta.Meta
import space.kscience.dataforge.misc.DFExperimental
import space.kscience.dataforge.names.Name
import space.kscience.dataforge.names.matches
@ -10,6 +11,7 @@ import space.kscience.dataforge.names.matches
// data(builder)
//}
@OptIn(DFExperimental::class)
public inline fun <reified T : Any> TaskResultBuilder<*>.data(namePattern: Name? = null): DataSelector<T> =
object : DataSelector<T> {
override suspend fun select(workspace: Workspace, meta: Meta): DataSet<T> =

31
dataforge-workspace/src/jvmTest/kotlin/space/kscience/dataforge/workspace/DataPropagationTest.kt
View File

@ -1,6 +1,9 @@
@file:OptIn(ExperimentalCoroutinesApi::class)
package space.kscience.dataforge.workspace
import kotlinx.coroutines.runBlocking
import kotlinx.coroutines.ExperimentalCoroutinesApi
import kotlinx.coroutines.test.runTest
import space.kscience.dataforge.context.Context
import space.kscience.dataforge.context.PluginFactory
import space.kscience.dataforge.context.PluginTag
@ -15,7 +18,7 @@ class DataPropagationTestPlugin : WorkspacePlugin() {
val allData by task<Int> {
val selectedData = workspace.data.filterByType<Int>()
val result: Data<Int> = selectedData.traverse().asIterable().foldToData(0) { result, data ->
val result: Data<Int> = selectedData.foldToData(0) { result, data ->
result + data.value
}
data("result", result)
@ -44,28 +47,22 @@ class DataPropagationTest {
context {
plugin(DataPropagationTestPlugin)
}
runBlocking {
data {
repeat(100) {
static("myData[$it]", it)
}
data {
repeat(100) {
static("myData[$it]", it)
}
}
}
@Test
fun testAllData() {
runBlocking {
val node = testWorkspace.produce("Test.allData")
assertEquals(4950, node.traverse().single().await())
}
fun testAllData() = runTest {
val node = testWorkspace.produce("Test.allData")
assertEquals(4950, node.asSequence().single().await())
}
@Test
fun testSingleData() {
runBlocking {
val node = testWorkspace.produce("Test.singleData")
assertEquals(12, node.traverse().single().await())
}
fun testSingleData() = runTest {
val node = testWorkspace.produce("Test.singleData")
assertEquals(12, node.asSequence().single().await())
}
}

25
dataforge-workspace/src/jvmTest/kotlin/space/kscience/dataforge/workspace/SimpleWorkspaceTest.kt
View File

@ -1,8 +1,11 @@
@file:Suppress("UNUSED_VARIABLE")
@file:OptIn(ExperimentalCoroutinesApi::class)
package space.kscience.dataforge.workspace
import kotlinx.coroutines.ExperimentalCoroutinesApi
import kotlinx.coroutines.runBlocking
import kotlinx.coroutines.test.runTest
import org.junit.jupiter.api.Timeout
import space.kscience.dataforge.context.*
import space.kscience.dataforge.data.*
@ -26,7 +29,7 @@ public inline fun <reified P : Plugin> P.toFactory(): PluginFactory<P> = object
override val type: KClass<out P> = P::class
}
public fun Workspace.runBlocking(task: String, block: MutableMeta.() -> Unit = {}): DataSet<Any> = runBlocking {
public fun Workspace.produceBlocking(task: String, block: MutableMeta.() -> Unit = {}): DataSet<Any> = runBlocking {
produce(task, block)
}
@ -156,21 +159,17 @@ class SimpleWorkspaceTest {
@Test
@Timeout(1)
fun testWorkspace() {
runBlocking {
val node = workspace.runBlocking("sum")
val res = node.traverse().single()
assertEquals(328350, res.await())
}
fun testWorkspace() = runTest {
val node = workspace.produce("sum")
val res = node.asSequence().single()
assertEquals(328350, res.await())
}
@Test
@Timeout(1)
fun testMetaPropagation() {
runBlocking {
val node = workspace.produce("sum") { "testFlag" put true }
val res = node.traverse().single().await()
}
fun testMetaPropagation() = runTest {
val node = workspace.produce("sum") { "testFlag" put true }
val res = node.asSequence().single().await()
}
@Test
@ -192,7 +191,7 @@ class SimpleWorkspaceTest {
fun testFilter() {
runBlocking {
val node = workspace.produce("filterOne")
assertEquals(12, node.traverse().first().await())
assertEquals(12, node.asSequence().first().await())
}
}
}