// File generated from our OpenAPI spec by Stainless.

package com.openai.models.chat.completions

import com.fasterxml.jackson.annotation.JsonAnyGetter
import com.fasterxml.jackson.annotation.JsonAnySetter
import com.fasterxml.jackson.annotation.JsonCreator
import com.fasterxml.jackson.annotation.JsonProperty
import com.fasterxml.jackson.core.JsonGenerator
import com.fasterxml.jackson.core.ObjectCodec
import com.fasterxml.jackson.databind.JsonNode
import com.fasterxml.jackson.databind.SerializerProvider
import com.fasterxml.jackson.databind.annotation.JsonDeserialize
import com.fasterxml.jackson.databind.annotation.JsonSerialize
import com.fasterxml.jackson.module.kotlin.jacksonTypeRef
import com.openai.core.BaseDeserializer
import com.openai.core.BaseSerializer
import com.openai.core.ExcludeMissing
import com.openai.core.JsonField
import com.openai.core.JsonMissing
import com.openai.core.JsonValue
import com.openai.core.allMaxBy
import com.openai.core.checkRequired
import com.openai.core.getOrThrow
import com.openai.core.toImmutable
import com.openai.errors.OpenAIInvalidDataException
import java.util.Collections
import java.util.Objects
import java.util.Optional
import kotlin.jvm.optionals.getOrNull

/**
 * Static predicted output content, such as the content of a text file that is being regenerated.
 */
class ChatCompletionPredictionContent
@JsonCreator(mode = JsonCreator.Mode.DISABLED)
private constructor(
    private val content: JsonField<Content>,
    private val type: JsonValue,
    private val additionalProperties: MutableMap<String, JsonValue>,
) {

    @JsonCreator
    private constructor(
        @JsonProperty("content") @ExcludeMissing content: JsonField<Content> = JsonMissing.of(),
        @JsonProperty("type") @ExcludeMissing type: JsonValue = JsonMissing.of(),
    ) : this(content, type, mutableMapOf())

    /**
     * The content that should be matched when generating a model response. If generated tokens
     * would match this content, the entire model response can be returned much more quickly.
     *
     * @throws OpenAIInvalidDataException if the JSON field has an unexpected type or is
     *   unexpectedly missing or null (e.g. if the server responded with an unexpected value).
     */
    fun content(): Content = content.getRequired("content")

    /**
     * The type of the predicted content you want to provide. This type is currently always
     * `content`.
     *
     * Expected to always return the following:
     * ```java
     * JsonValue.from("content")
     * ```
     *
     * However, this method can be useful for debugging and logging (e.g. if the server responded
     * with an unexpected value).
     */
    @JsonProperty("type") @ExcludeMissing fun _type(): JsonValue = type

    /**
     * Returns the raw JSON value of [content].
     *
     * Unlike [content], this method doesn't throw if the JSON field has an unexpected type.
     */
    @JsonProperty("content") @ExcludeMissing fun _content(): JsonField<Content> = content

    @JsonAnySetter
    private fun putAdditionalProperty(key: String, value: JsonValue) {
        additionalProperties.put(key, value)
    }

    @JsonAnyGetter
    @ExcludeMissing
    fun _additionalProperties(): Map<String, JsonValue> =
        Collections.unmodifiableMap(additionalProperties)

    fun toBuilder() = Builder().from(this)

    companion object {

        /**
         * Returns a mutable builder for constructing an instance of
         * [ChatCompletionPredictionContent].
         *
         * The following fields are required:
         * ```java
         * .content()
         * ```
         */
        @JvmStatic fun builder() = Builder()
    }

    /** A builder for [ChatCompletionPredictionContent]. */
    class Builder internal constructor() {

        private var content: JsonField<Content>? = null
        private var type: JsonValue = JsonValue.from("content")
        private var additionalProperties: MutableMap<String, JsonValue> = mutableMapOf()

        @JvmSynthetic
        internal fun from(chatCompletionPredictionContent: ChatCompletionPredictionContent) =
            apply {
                content = chatCompletionPredictionContent.content
                type = chatCompletionPredictionContent.type
                additionalProperties =
                    chatCompletionPredictionContent.additionalProperties.toMutableMap()
            }

        /**
         * The content that should be matched when generating a model response. If generated tokens
         * would match this content, the entire model response can be returned much more quickly.
         */
        fun content(content: Content) = content(JsonField.of(content))

        /**
         * Sets [Builder.content] to an arbitrary JSON value.
         *
         * You should usually call [Builder.content] with a well-typed [Content] value instead. This
         * method is primarily for setting the field to an undocumented or not yet supported value.
         */
        fun content(content: JsonField<Content>) = apply { this.content = content }

        /** Alias for calling [content] with `Content.ofText(text)`. */
        fun content(text: String) = content(Content.ofText(text))

        /**
         * Alias for calling [content] with `Content.ofArrayOfContentParts(arrayOfContentParts)`.
         */
        fun contentOfArrayOfContentParts(arrayOfContentParts: List<ChatCompletionContentPartText>) =
            content(Content.ofArrayOfContentParts(arrayOfContentParts))

        /**
         * Sets the field to an arbitrary JSON value.
         *
         * It is usually unnecessary to call this method because the field defaults to the
         * following:
         * ```java
         * JsonValue.from("content")
         * ```
         *
         * This method is primarily for setting the field to an undocumented or not yet supported
         * value.
         */
        fun type(type: JsonValue) = apply { this.type = type }

        fun additionalProperties(additionalProperties: Map<String, JsonValue>) = apply {
            this.additionalProperties.clear()
            putAllAdditionalProperties(additionalProperties)
        }

        fun putAdditionalProperty(key: String, value: JsonValue) = apply {
            additionalProperties.put(key, value)
        }

        fun putAllAdditionalProperties(additionalProperties: Map<String, JsonValue>) = apply {
            this.additionalProperties.putAll(additionalProperties)
        }

        fun removeAdditionalProperty(key: String) = apply { additionalProperties.remove(key) }

        fun removeAllAdditionalProperties(keys: Set<String>) = apply {
            keys.forEach(::removeAdditionalProperty)
        }

        /**
         * Returns an immutable instance of [ChatCompletionPredictionContent].
         *
         * Further updates to this [Builder] will not mutate the returned instance.
         *
         * The following fields are required:
         * ```java
         * .content()
         * ```
         *
         * @throws IllegalStateException if any required field is unset.
         */
        fun build(): ChatCompletionPredictionContent =
            ChatCompletionPredictionContent(
                checkRequired("content", content),
                type,
                additionalProperties.toMutableMap(),
            )
    }

    private var validated: Boolean = false

    /**
     * Validates that the types of all values in this object match their expected types recursively.
     *
     * This method is _not_ forwards compatible with new types from the API for existing fields.
     *
     * @throws OpenAIInvalidDataException if any value type in this object doesn't match its
     *   expected type.
     */
    fun validate(): ChatCompletionPredictionContent = apply {
        if (validated) {
            return@apply
        }

        content().validate()
        _type().let {
            if (it != JsonValue.from("content")) {
                throw OpenAIInvalidDataException("'type' is invalid, received $it")
            }
        }
        validated = true
    }

    fun isValid(): Boolean =
        try {
            validate()
            true
        } catch (e: OpenAIInvalidDataException) {
            false
        }

    /**
     * Returns a score indicating how many valid values are contained in this object recursively.
     *
     * Used for best match union deserialization.
     */
    @JvmSynthetic
    internal fun validity(): Int =
        (content.asKnown().getOrNull()?.validity() ?: 0) +
            type.let { if (it == JsonValue.from("content")) 1 else 0 }

    /**
     * The content that should be matched when generating a model response. If generated tokens
     * would match this content, the entire model response can be returned much more quickly.
     */
    @JsonDeserialize(using = Content.Deserializer::class)
    @JsonSerialize(using = Content.Serializer::class)
    class Content
    private constructor(
        private val text: String? = null,
        private val arrayOfContentParts: List<ChatCompletionContentPartText>? = null,
        private val _json: JsonValue? = null,
    ) {

        /**
         * The content used for a Predicted Output. This is often the text of a file you are
         * regenerating with minor changes.
         */
        fun text(): Optional<String> = Optional.ofNullable(text)

        /**
         * An array of content parts with a defined type. Supported options differ based on the
         * [model](https://platform.openai.com/docs/models) being used to generate the response. Can
         * contain text inputs.
         */
        fun arrayOfContentParts(): Optional<List<ChatCompletionContentPartText>> =
            Optional.ofNullable(arrayOfContentParts)

        fun isText(): Boolean = text != null

        fun isArrayOfContentParts(): Boolean = arrayOfContentParts != null

        /**
         * The content used for a Predicted Output. This is often the text of a file you are
         * regenerating with minor changes.
         */
        fun asText(): String = text.getOrThrow("text")

        /**
         * An array of content parts with a defined type. Supported options differ based on the
         * [model](https://platform.openai.com/docs/models) being used to generate the response. Can
         * contain text inputs.
         */
        fun asArrayOfContentParts(): List<ChatCompletionContentPartText> =
            arrayOfContentParts.getOrThrow("arrayOfContentParts")

        fun _json(): Optional<JsonValue> = Optional.ofNullable(_json)

        /**
         * Maps this instance's current variant to a value of type [T] using the given [visitor].
         *
         * Note that this method is _not_ forwards compatible with new variants from the API, unless
         * [visitor] overrides [Visitor.unknown]. To handle variants not known to this version of
         * the SDK gracefully, consider overriding [Visitor.unknown]:
         * ```java
         * import com.openai.core.JsonValue;
         * import java.util.Optional;
         *
         * Optional<String> result = content.accept(new Content.Visitor<Optional<String>>() {
         *     @Override
         *     public Optional<String> visitText(String text) {
         *         return Optional.of(text.toString());
         *     }
         *
         *     // ...
         *
         *     @Override
         *     public Optional<String> unknown(JsonValue json) {
         *         // Or inspect the `json`.
         *         return Optional.empty();
         *     }
         * });
         * ```
         *
         * @throws OpenAIInvalidDataException if [Visitor.unknown] is not overridden in [visitor]
         *   and the current variant is unknown.
         */
        fun <T> accept(visitor: Visitor<T>): T =
            when {
                text != null -> visitor.visitText(text)
                arrayOfContentParts != null -> visitor.visitArrayOfContentParts(arrayOfContentParts)
                else -> visitor.unknown(_json)
            }

        private var validated: Boolean = false

        /**
         * Validates that the types of all values in this object match their expected types
         * recursively.
         *
         * This method is _not_ forwards compatible with new types from the API for existing fields.
         *
         * @throws OpenAIInvalidDataException if any value type in this object doesn't match its
         *   expected type.
         */
        fun validate(): Content = apply {
            if (validated) {
                return@apply
            }

            accept(
                object : Visitor<Unit> {
                    override fun visitText(text: String) {}

                    override fun visitArrayOfContentParts(
                        arrayOfContentParts: List<ChatCompletionContentPartText>
                    ) {
                        arrayOfContentParts.forEach { it.validate() }
                    }
                }
            )
            validated = true
        }

        fun isValid(): Boolean =
            try {
                validate()
                true
            } catch (e: OpenAIInvalidDataException) {
                false
            }

        /**
         * Returns a score indicating how many valid values are contained in this object
         * recursively.
         *
         * Used for best match union deserialization.
         */
        @JvmSynthetic
        internal fun validity(): Int =
            accept(
                object : Visitor<Int> {
                    override fun visitText(text: String) = 1

                    override fun visitArrayOfContentParts(
                        arrayOfContentParts: List<ChatCompletionContentPartText>
                    ) = arrayOfContentParts.sumOf { it.validity().toInt() }

                    override fun unknown(json: JsonValue?) = 0
                }
            )

        override fun equals(other: Any?): Boolean {
            if (this === other) {
                return true
            }

            return other is Content &&
                text == other.text &&
                arrayOfContentParts == other.arrayOfContentParts
        }

        override fun hashCode(): Int = Objects.hash(text, arrayOfContentParts)

        override fun toString(): String =
            when {
                text != null -> "Content{text=$text}"
                arrayOfContentParts != null -> "Content{arrayOfContentParts=$arrayOfContentParts}"
                _json != null -> "Content{_unknown=$_json}"
                else -> throw IllegalStateException("Invalid Content")
            }

        companion object {

            /**
             * The content used for a Predicted Output. This is often the text of a file you are
             * regenerating with minor changes.
             */
            @JvmStatic fun ofText(text: String) = Content(text = text)

            /**
             * An array of content parts with a defined type. Supported options differ based on the
             * [model](https://platform.openai.com/docs/models) being used to generate the response.
             * Can contain text inputs.
             */
            @JvmStatic
            fun ofArrayOfContentParts(arrayOfContentParts: List<ChatCompletionContentPartText>) =
                Content(arrayOfContentParts = arrayOfContentParts.toImmutable())
        }

        /**
         * An interface that defines how to map each variant of [Content] to a value of type [T].
         */
        interface Visitor<out T> {

            /**
             * The content used for a Predicted Output. This is often the text of a file you are
             * regenerating with minor changes.
             */
            fun visitText(text: String): T

            /**
             * An array of content parts with a defined type. Supported options differ based on the
             * [model](https://platform.openai.com/docs/models) being used to generate the response.
             * Can contain text inputs.
             */
            fun visitArrayOfContentParts(
                arrayOfContentParts: List<ChatCompletionContentPartText>
            ): T

            /**
             * Maps an unknown variant of [Content] to a value of type [T].
             *
             * An instance of [Content] can contain an unknown variant if it was deserialized from
             * data that doesn't match any known variant. For example, if the SDK is on an older
             * version than the API, then the API may respond with new variants that the SDK is
             * unaware of.
             *
             * @throws OpenAIInvalidDataException in the default implementation.
             */
            fun unknown(json: JsonValue?): T {
                throw OpenAIInvalidDataException("Unknown Content: $json")
            }
        }

        internal class Deserializer : BaseDeserializer<Content>(Content::class) {

            override fun ObjectCodec.deserialize(node: JsonNode): Content {
                val json = JsonValue.fromJsonNode(node)

                val bestMatches =
                    sequenceOf(
                            tryDeserialize(node, jacksonTypeRef<String>())?.let {
                                Content(text = it, _json = json)
                            },
                            tryDeserialize(
                                    node,
                                    jacksonTypeRef<List<ChatCompletionContentPartText>>(),
                                )
                                ?.let { Content(arrayOfContentParts = it, _json = json) },
                        )
                        .filterNotNull()
                        .allMaxBy { it.validity() }
                        .toList()
                return when (bestMatches.size) {
                    // This can happen if what we're deserializing is completely incompatible with
                    // all the possible variants (e.g. deserializing from boolean).
                    0 -> Content(_json = json)
                    1 -> bestMatches.single()
                    // If there's more than one match with the highest validity, then use the first
                    // completely valid match, or simply the first match if none are completely
                    // valid.
                    else -> bestMatches.firstOrNull { it.isValid() } ?: bestMatches.first()
                }
            }
        }

        internal class Serializer : BaseSerializer<Content>(Content::class) {

            override fun serialize(
                value: Content,
                generator: JsonGenerator,
                provider: SerializerProvider,
            ) {
                when {
                    value.text != null -> generator.writeObject(value.text)
                    value.arrayOfContentParts != null ->
                        generator.writeObject(value.arrayOfContentParts)
                    value._json != null -> generator.writeObject(value._json)
                    else -> throw IllegalStateException("Invalid Content")
                }
            }
        }
    }

    override fun equals(other: Any?): Boolean {
        if (this === other) {
            return true
        }

        return other is ChatCompletionPredictionContent &&
            content == other.content &&
            type == other.type &&
            additionalProperties == other.additionalProperties
    }

    private val hashCode: Int by lazy { Objects.hash(content, type, additionalProperties) }

    override fun hashCode(): Int = hashCode

    override fun toString() =
        "ChatCompletionPredictionContent{content=$content, type=$type, additionalProperties=$additionalProperties}"
}
