core/org.jetbrains.kotlinx.dataframe.impl.codeGen

Package-level declarations

Types

sealed interface CodeGenerationReadResult

internal class CodeGeneratorImpl(typeRendering: TypeRenderingStrategy = FullyQualifiedNames) : ExtensionsCodeGeneratorImpl, CodeGenerator

DfReadResult

sealed interface ~~DfReadResult~~

ExtensionsCodeGeneratorImpl

internal open class ExtensionsCodeGeneratorImpl(typeRendering: TypeRenderingStrategy) : ExtensionsCodeGenerator, TypeRenderingStrategy

FullyQualifiedNames

internal object FullyQualifiedNames : TypeRenderingStrategy

ReplCodeGenerator

internal interface ReplCodeGenerator

ReplCodeGeneratorImpl

internal class ReplCodeGeneratorImpl : ReplCodeGenerator

SchemaProcessorImpl

internal class SchemaProcessorImpl(existingMarkers: Iterable<Marker>, val namePrefix: String, fieldNameNormalizer: (String) -> String = { it }, nestedMarkerNameProvider: MarkerNameProvider = MarkerNameProvider.fromColumnName) : SchemaProcessor

ShortNames

internal object ShortNames : TypeRenderingStrategy

TypeRenderingStrategy

internal interface TypeRenderingStrategy

Strategy to render types. Instances include FullyQualifiedNames and ShortNames.

Properties

charsToQuote

internal val charsToQuote: Regex

urlCodeGenReader

val CodeGenerator.Companion.urlCodeGenReader: (url: URL, name: String, formats: List<SupportedFormat>, generateHelperCompanionObject: Boolean) -> CodeGenerationReadResult

Reader that can read data from a URL and generate code (type schema representations) for it. It tries to guess the format based on the given formats and returns CodeGenerationReadResult.Success, or returns CodeGenerationReadResult.Error if it fails.

urlDfReader

val CodeGenerator.Companion.~~urlDfReader~~: (url: URL, formats: List<SupportedFormat>) -> DfReadResult

Reader that can read a dataframe from a URL. It tries to guess the format based on the given formats and returns DfReadResult.Success, or returns DfReadResult.Error if it fails.

Functions

createCodeWithTypeCastGenerator

internal fun createCodeWithTypeCastGenerator(code: String, vararg targetTypeNames: String): CodeWithTypeCastGenerator

Simple utility function that creates a CodeWithTypeCastGenerator using code and TypeCastGenerator.DataFrameApi, meaning it uses the cast functions of DataFrame.

dropKotlinPackages

internal fun String.dropKotlinPackages(): String

filterRequiredForSchema

internal fun Iterable<Marker>.filterRequiredForSchema(schema: DataFrameSchema): List<Marker>

fun NameNormalizer.Companion.id(): NameNormalizer

isQuoted

fun String.isQuoted(): Boolean

join

internal fun List<Code>.join(): String

needsQuoting

internal fun String.needsQuoting(): Boolean

process

internal inline fun <reified T> ReplCodeGenerator.process(): Code

quotedQualifiedNameOrNull

fun KClass<*>.quotedQualifiedNameOrNull(): String?

quoteIfNeeded

fun String.quoteIfNeeded(): String

toCamelCaseFrom

fun NameNormalizer.Companion.toCamelCaseFrom(normalizationDelimiters: Set<Char>): NameNormalizer

toStandaloneSnippet

fun Code.toStandaloneSnippet(packageName: String, additionalImports: List<String>): String

fun CodeGenResult.toStandaloneSnippet(packageName: String, additionalImports: List<String>): String

fun CodeWithTypeCastGenerator.toStandaloneSnippet(packageName: String, additionalImports: List<String>): String