import { OpenAIChatInput, ChatOpenAI as LangchainChatOpenAI } from '@langchain/openai'
import { BaseCache } from '@langchain/core/caches'
import { BaseLLMParams } from '@langchain/core/language_models/llms'
import { ICommonObject, IMultiModalOption, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ChatOpenAI } from '../ChatOpenAI/FlowiseChatOpenAI'

class ChatLitellm_ChatModels implements INode {
    label: string
    name: string
    version: number
    type: string
    icon: string
    category: string
    description: string
    baseClasses: string[]
    credential: INodeParams
    inputs: INodeParams[]

    constructor() {
        this.label = 'ChatLitellm'
        this.name = 'chatLitellm'
        this.version = 2.0
        this.type = 'ChatLitellm'
        this.icon = 'litellm.jpg'
        this.category = 'Chat Models'
        this.description = 'Connect to a Litellm server using OpenAI-compatible API'
        this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(LangchainChatOpenAI)]
        this.credential = {
            label: 'Connect Credential',
            name: 'credential',
            type: 'credential',
            credentialNames: ['litellmApi'],
            optional: true
        }
        this.inputs = [
            {
                label: 'Cache',
                name: 'cache',
                type: 'BaseCache',
                optional: true
            },
            {
                label: 'Base URL',
                name: 'basePath',
                type: 'string',
                placeholder: 'http://localhost:8000'
            },
            {
                label: 'Model Name',
                name: 'modelName',
                type: 'string',
                placeholder: 'model_name'
            },
            {
                label: 'Temperature',
                name: 'temperature',
                type: 'number',
                step: 0.1,
                default: 0.9,
                optional: true
            },
            {
                label: 'Streaming',
                name: 'streaming',
                type: 'boolean',
                default: true,
                optional: true,
                additionalParams: true
            },
            {
                label: 'Max Tokens',
                name: 'maxTokens',
                type: 'number',
                step: 1,
                optional: true,
                additionalParams: true
            },
            {
                label: 'Top P',
                name: 'topP',
                type: 'number',
                step: 0.1,
                optional: true,
                additionalParams: true
            },
            {
                label: 'Timeout',
                name: 'timeout',
                type: 'number',
                step: 1,
                optional: true,
                additionalParams: true
            },
            {
                label: 'Allow Image Uploads',
                name: 'allowImageUploads',
                type: 'boolean',
                description:
                    'Allow image input. Image uploads need a model marked supports_vision=true in LiteLLM. Refer to the <a href="https://docs.flowiseai.com/using-flowise/uploads#image" target="_blank">docs</a> for more details.',
                default: false,
                optional: true
            },
            {
                label: 'Image Resolution',
                description: 'This parameter controls the resolution in which the model views the image.',
                name: 'imageResolution',
                type: 'options',
                options: [
                    {
                        label: 'Low',
                        name: 'low'
                    },
                    {
                        label: 'High',
                        name: 'high'
                    },
                    {
                        label: 'Auto',
                        name: 'auto'
                    }
                ],
                default: 'low',
                optional: false,
                show: {
                    allowImageUploads: true
                }
            }
        ]
    }

    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
        const cache = nodeData.inputs?.cache as BaseCache
        const basePath = nodeData.inputs?.basePath as string
        const modelName = nodeData.inputs?.modelName as string
        const temperature = nodeData.inputs?.temperature as string
        const streaming = nodeData.inputs?.streaming as boolean
        const maxTokens = nodeData.inputs?.maxTokens as string
        const topP = nodeData.inputs?.topP as string
        const timeout = nodeData.inputs?.timeout as string
        const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean
        const imageResolution = nodeData.inputs?.imageResolution as string

        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
        const apiKey = getCredentialParam('litellmApiKey', credentialData, nodeData)

        const obj: Partial<OpenAIChatInput> &
            BaseLLMParams & { openAIApiKey?: string } & { configuration?: { baseURL?: string; defaultHeaders?: ICommonObject } } = {
            temperature: parseFloat(temperature),
            modelName,
            streaming: streaming ?? true
        }

        if (basePath) {
            obj.configuration = {
                baseURL: basePath
            }
        }

        if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
        if (topP) obj.topP = parseFloat(topP)
        if (timeout) obj.timeout = parseInt(timeout, 10)
        if (cache) obj.cache = cache
        if (apiKey) {
            obj.openAIApiKey = apiKey
            obj.apiKey = apiKey
        }

        const multiModalOption: IMultiModalOption = {
            image: {
                allowImageUploads: allowImageUploads ?? false,
                imageResolution
            }
        }

        const model = new ChatOpenAI(nodeData.id, obj)
        model.setMultiModalOption(multiModalOption)

        return model
    }
}

module.exports = { nodeClass: ChatLitellm_ChatModels }
