tri.ai.text.chunks.TextChunkDeserializer.kt Maven / Gradle / Ivy
/*-
* #%L
* tri.promptfx:promptkt
* %%
* Copyright (C) 2023 - 2024 Johns Hopkins University Applied Physics Laboratory
* %%
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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package tri.ai.text.chunks
import com.fasterxml.jackson.core.JsonParser
import com.fasterxml.jackson.databind.DeserializationContext
import com.fasterxml.jackson.databind.JsonDeserializer
import com.fasterxml.jackson.databind.JsonNode
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.module.kotlin.registerKotlinModule
/** Deserializes a [TextChunk] from JSON, determining type based on which fields are present. */
class TextChunkDeserializer : JsonDeserializer() {
override fun deserialize(p: JsonParser, ctxt: DeserializationContext): TextChunk {
val node: JsonNode = p.codec.readTree(p)
val objectMapper = (p.codec as ObjectMapper).copy().registerKotlinModule()
return if (node.has("text") && !node.has("first") && !node.has("last")) {
objectMapper.treeToValue(node, TextChunkRaw::class.java)
} else if (node.has("first") && node.has("last") && !node.has("text")) {
objectMapper.treeToValue(node, TextChunkInDoc::class.java)
} else {
throw IllegalArgumentException("Unknown type of TextChunk")
}
}
}