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Building applications with LLMs through composability in Kotlin
package com.xebia.functional.openai
import io.ktor.client.statement.HttpResponse
import io.ktor.client.statement.bodyAsChannel
import io.ktor.utils.io.ByteReadChannel
import io.ktor.utils.io.readUTF8Line
import kotlinx.coroutines.flow.FlowCollector
import kotlinx.serialization.json.Json
import kotlinx.serialization.json.JsonObject
import kotlinx.serialization.serializer
// ServerSentEvent, INTERNAL TO THIS MODULE
// RunDelta | CreateChatCompletionStreamResponse
internal suspend inline fun FlowCollector.streamEvents(
response: HttpResponse,
json: Json,
prefix: String,
end: String
) {
val channel: ByteReadChannel = response.bodyAsChannel()
var nextEvent: String? = null
while (!channel.isClosedForRead) {
val line = channel.readUTF8Line() ?: continue
// break when we reach the end of the stream
if (line.startsWith(end)) {
break
}
// if the line is an event like "event: thread.created" we want to ensure
// A is of type ServerSentEvent and we skip the line treating next `prefix` as a JsonObject
// otherwise we treat the line as a json object if it starts with the prefix
// and emit the value
// if the line is an event like "event: thread.created" we want to ensure
// A is of type ServerSentEvent and we skip the line treating next `prefix` as a JsonObject
if (line.startsWith("event:")) {
nextEvent = line.removePrefix("event:").trim()
continue
}
// otherwise we treat the line as a json object if it starts with the prefix
else if (line.startsWith(prefix) && nextEvent == null) {
val data = line.removePrefix(prefix).trim()
val value: A = json.decodeFromString(serializer(), data)
emit(value)
}
// emit the value for the next event
if (nextEvent != null) {
val data = line.removePrefix(prefix).trim()
if (data.isNotBlank()) {
val eventData = json.decodeFromString(JsonObject.serializer(), data)
val value: A = ServerSentEvent(event = nextEvent, data = eventData) as A
emit(value)
}
}
}
// serverevent as A
}