rewriting IDF stuff
parent
ca51b50306
commit
d995b26459
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@ -6,10 +6,12 @@ import com.github.ajalt.clikt.parameters.options.option
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import com.github.ajalt.clikt.parameters.options.required
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import com.github.ajalt.clikt.parameters.types.enum
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import com.github.ajalt.clikt.parameters.types.file
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import de.itkl.textprocessing.TextFile
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import de.itkl.tfidf.Language
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import de.itkl.tfidf.TfIdf
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import de.itkl.tfidf.TfIdfPipeline
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import kotlinx.coroutines.flow.take
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import kotlinx.coroutines.runBlocking
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import java.io.File
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class ComputeTf : CliktCommand() {
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private val corpus by option(help = "corpus")
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@ -20,13 +22,17 @@ class ComputeTf : CliktCommand() {
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.required()
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override fun run() = runBlocking {
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val tfIdf = TfIdf()
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val histogram = tfIdf.computeTf(
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corpus,
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language
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)
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tfIdf.normalizeTf(histogram, corpus.toPath().parent.resolve("${corpus.nameWithoutExtension}-tf.csv").toFile())
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TfIdfPipeline(language = Language.DE)
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.input(corpus)
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// TextFile(corpus).splitByEmptyLines()
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// .take(10)
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// .collect { println(it) }
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// val tfIdf = TfIdf()
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// val histogram = tfIdf.computeTf(
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// corpus,
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// language
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// )
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// val tf = tfIdf.normalizeTf(histogram, corpus.toPath().parent.resolve("${corpus.nameWithoutExtension}-tf.csv").toFile())
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}
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}
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@ -0,0 +1,7 @@
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plugins {
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id("docthor.kotlin-library-conventions")
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}
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dependencies {
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implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.7.3")
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}
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@ -0,0 +1,10 @@
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package de.itkl.fileprocessing
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import java.io.File
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import java.io.InputStream
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import java.nio.file.Path
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interface FileProcessor {
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fun willProduce(path: Path): Path
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suspend fun process(resource: Resource): File
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}
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@ -0,0 +1,25 @@
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package de.itkl.fileprocessing
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import io.github.oshai.kotlinlogging.KotlinLogging
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import java.io.File
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import kotlin.io.path.exists
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private val Log = KotlinLogging.logger { }
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abstract class FileProcessingPipeline {
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protected abstract val fileProcessor: List<FileProcessor>
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suspend fun input(file: File) {
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var currentFile = file
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fileProcessor.forEach { processor ->
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val target = processor.willProduce(currentFile.toPath())
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if(target.exists()) {
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Log.info { "$target exists. Skipping" }
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} else {
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Log.info { "$target does not exists. Creating" }
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processor.process(FileResource(currentFile))
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}
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currentFile = target.toFile()
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}
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}
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}
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@ -0,0 +1,39 @@
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package de.itkl.fileprocessing
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import java.io.InputStream
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/**
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* Represents an input stream that tracks the progress of reading from an underlying input stream.
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*
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* @property inputStream The underlying input stream to read from.
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* @property updateOp The operation to be executed when the number of bytes read changes.
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* @property bytesRead The number of bytes read from the input stream.
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*/
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class ProgressInputStream(
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private val inputStream: InputStream,
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private val updateOp: (Long) -> Unit) : InputStream() {
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@Volatile
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var bytesRead: Long = 0
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private set(value) {
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field = value
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updateOp(value)
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}
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override fun read(): Int {
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val byte = inputStream.read()
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if (byte != -1) {
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bytesRead++
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}
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return byte
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}
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override fun read(b: ByteArray, off: Int, len: Int): Int {
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val bytesRead = inputStream.read(b, off, len)
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if (bytesRead != -1) {
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this.bytesRead += bytesRead
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}
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return bytesRead
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}
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override fun read(b: ByteArray): Int {
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return this.read(b, 0, b.size)
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}
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}
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@ -0,0 +1,34 @@
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package de.itkl.fileprocessing
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import java.io.File
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import java.io.InputStream
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import java.nio.file.Files
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import java.nio.file.Path
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interface Resource {
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val path: Path
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val size: Long
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fun toFile(): File = path.toFile()
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fun read(): InputStream
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}
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class ProgressResource(
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private val resource: Resource,
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private val progressOpSupplier: () -> (Long) -> Unit
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) : Resource by resource
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{
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override fun read(): InputStream {
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return ProgressInputStream(
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read(),
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progressOpSupplier()
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)
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}
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}
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class FileResource(override val path: Path) : Resource {
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constructor(file: File): this(file.toPath())
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override val size: Long by lazy { path.toFile().length() }
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override fun read(): InputStream {
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return Files.newInputStream(path)
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}
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}
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@ -0,0 +1,25 @@
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package de.itkl.processing
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import kotlinx.coroutines.async
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import kotlinx.coroutines.channels.Channel
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import kotlinx.coroutines.channels.consumeEach
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import kotlinx.coroutines.coroutineScope
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import kotlinx.coroutines.flow.*
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import kotlinx.coroutines.launch
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import kotlinx.coroutines.sync.Semaphore
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import kotlinx.coroutines.sync.withPermit
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import kotlin.coroutines.coroutineContext
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class ParallelFlowProcessor<T,U>(
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private val mapperFn: (T) -> U,
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private val concurrencyLimit: Int) {
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suspend fun process(flow: Flow<T>): Flow<U> = coroutineScope {
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val gate = Semaphore(concurrencyLimit)
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flow.map { item ->
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async {
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gate.withPermit { mapperFn(item) }
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}
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}
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.map { it.await() }
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}
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}
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@ -0,0 +1,33 @@
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package de.itkl.textprocessing
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import kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.flow.toSet
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class BagOfWords(private val data: MutableSet<String> = mutableSetOf()) : Iterable<String> {
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companion object {
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suspend fun from(flow: Flow<String>): BagOfWords {
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return BagOfWords(flow.toSet().toMutableSet())
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}
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}
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fun add(word: String) {
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data.add(word)
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}
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fun join(bagOfWords: BagOfWords): BagOfWords {
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return BagOfWords(data.toMutableSet().apply { addAll(bagOfWords.data) })
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}
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override fun iterator(): Iterator<String> {
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return iterator {
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data.forEach { yield(it) }
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}
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}
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override fun toString(): String {
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return data.joinToString(",")
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}
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}
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@ -0,0 +1,4 @@
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package de.itkl.textprocessing
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class DocumentFrequency {
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}
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@ -1,6 +1,6 @@
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package de.itkl.textprocessing
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import kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.flow.*
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class Histogram(private val histo: MutableMap<String,UInt> = mutableMapOf()) : Iterable<Pair<String, UInt>>{
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@ -11,6 +11,14 @@ class Histogram(private val histo: MutableMap<String,UInt> = mutableMapOf()) : I
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}
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}
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suspend fun fromBagOfWords(flow: Flow<BagOfWords>): Histogram {
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val result = Histogram()
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flow.collect { bagOfWords ->
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bagOfWords.forEach(result::add)
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}
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return result
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}
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fun from(sequence: Sequence<Map<String, String>>): Histogram {
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val histo = sequence.associate { map -> map["word"]!! to map["count"]!!.toUInt() }
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.toMutableMap()
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@ -11,6 +11,23 @@ import java.io.InputStreamReader
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class TextFile(val file: File) {
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fun splitByEmptyLines(progressOp: (read: Long) -> Unit = {}): Flow<List<String>> {
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val reader = InputStreamReader(ProgressInputStream(file.inputStream(), progressOp))
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var list = mutableListOf<String>()
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return flow {
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reader.useLines { lines ->
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lines.forEach { line ->
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if(line.isEmpty()) {
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emit(list)
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list = mutableListOf()
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} else {
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list.add(line)
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}
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}
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}
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}
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}
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fun words(progressOp: (read: Long) -> Unit = {}): Flow<String> {
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val factory = AttributeFactory.DEFAULT_ATTRIBUTE_FACTORY
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val tokenizer = StandardTokenizer(factory)
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@ -0,0 +1,44 @@
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package de.itkl.textprocessing
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import kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.flow.flow
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import kotlinx.coroutines.flow.onCompletion
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import org.apache.lucene.analysis.standard.StandardTokenizer
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import org.apache.lucene.analysis.tokenattributes.CharTermAttribute
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import org.apache.lucene.util.AttributeFactory
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import java.io.StringReader
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class Tokenizer : AutoCloseable{
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private val tokenizer by lazy {
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val factory = AttributeFactory.DEFAULT_ATTRIBUTE_FACTORY
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val tokenizer = StandardTokenizer(factory)
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tokenizer
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// val reader = ProgressInputStream(file.inputStream(), progressOp)
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// tokenizer.setReader(InputStreamReader(reader))
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// tokenizer.reset()
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// val attr = tokenizer.addAttribute(CharTermAttribute::class.java)
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// return flow {
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// while (kotlin.runCatching { tokenizer.incrementToken() }.getOrElse { true } ) {
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// emit(attr.toString())
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// }
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// }.onCompletion {
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// tokenizer.close()
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// }
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}
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fun tokenize(input: String): Flow<String> {
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val reader = StringReader(input)
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tokenizer.setReader(reader)
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tokenizer.reset()
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val attr = tokenizer.addAttribute(CharTermAttribute::class.java)
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return flow {
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while (kotlin.runCatching { tokenizer.incrementToken() }.getOrElse { true }) {
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emit(attr.toString())
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}
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}.onCompletion { tokenizer.close() }
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}
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override fun close() {
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tokenizer.close()
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}
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}
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@ -4,6 +4,7 @@ plugins {
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dependencies {
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api(project(":libraries:textprocessing"))
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api(project(":libraries:fileprocessing"))
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implementation("com.github.ajalt.mordant:mordant:2.2.0")
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implementation("com.github.doyaaaaaken:kotlin-csv-jvm:1.9.2")
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}
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@ -0,0 +1,40 @@
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package de.itkl.tfidf
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import de.itkl.fileprocessing.FileProcessor
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import de.itkl.fileprocessing.Resource
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import de.itkl.textprocessing.*
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import io.github.oshai.kotlinlogging.KotlinLogging
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import kotlinx.coroutines.flow.map
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import kotlinx.coroutines.flow.reduce
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import kotlinx.coroutines.flow.take
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import java.io.File
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import java.nio.file.Path
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import kotlin.io.path.nameWithoutExtension
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private val Log = KotlinLogging.logger { }
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class Idf : FileProcessor {
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override fun willProduce(path: Path): Path {
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return path.parent.resolve(path.nameWithoutExtension + "-idf.csv")
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}
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override suspend fun process(resource: Resource): File {
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Log.info { "Would produce: ${willProduce(resource.path)}" }
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val resultFile = willProduce(resource.path).toFile()
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val textFile = TextFile(resource.toFile())
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val bagOfWords = textFile.splitByEmptyLines { }
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.take(10)
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.map { document ->
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val tokenizer = Tokenizer()
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document.map { line ->
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val tokens = tokenizer.tokenize(line)
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BagOfWords.from(tokens)
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}
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.reduce { acc, bagOfWords -> acc.join(bagOfWords) }
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}
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val histogram = Histogram.fromBagOfWords(bagOfWords)
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HistogramCsvStorage().save(histogram, resultFile)
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return resultFile
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}
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}
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@ -1,31 +1,9 @@
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package de.itkl.tfidf
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import com.github.doyaaaaaken.kotlincsv.dsl.csvReader
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import com.github.doyaaaaaken.kotlincsv.dsl.csvWriter
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import de.itkl.textprocessing.Histogram
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import io.github.oshai.kotlinlogging.KotlinLogging
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import java.io.File
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import kotlin.math.max
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private val Log = KotlinLogging.logger { }
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class Tf {
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private val data: MutableMap<String, Double> = mutableMapOf()
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fun update(histogram: Histogram): Tf {
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val max = histogram.maxOf { (_, count) -> count }
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.toDouble()
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histogram.forEach { (word, count) ->
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val tf = count.toDouble() / max
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data[word] = tf
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}
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return this
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}
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suspend fun saveToCsv(file: File) {
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csvWriter {}
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.openAsync(file, append = false) {
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writeRow("term", "frequency")
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data.forEach { (t, u) ->
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writeRow(t, u)
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}
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}
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}
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}
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@ -41,13 +41,6 @@ class TfIdf {
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return histogram
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}
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suspend fun normalizeTf(histogram: Histogram, destination: File) {
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Log.info { "Write tf to $destination" }
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Tf()
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.update(histogram)
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.saveToCsv(destination)
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}
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private fun stemmer(language: Language): SnowballStemmer {
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return when(language) {
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Language.DE -> GermanStemmer()
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|
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@ -0,0 +1,10 @@
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package de.itkl.tfidf
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import de.itkl.fileprocessing.FileProcessingPipeline
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import de.itkl.fileprocessing.FileProcessor
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class TfIdfPipeline(private val language: Language) : FileProcessingPipeline() {
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override val fileProcessor = listOf(
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Idf()
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)
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}
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@ -11,4 +11,5 @@ include(
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"app",
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"libraries:tfidf",
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"libraries:textprocessing",
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"libraries:fileprocessing",
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)
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