import { ClientOptions, OpenAI } from 'openai';
import { ChatCompletionMessageParam } from 'openai/resources';

enum GPTCallType {
    SUMMARY = 'summary',
    COMPLETION = 'completion',
    EDIT = 'edit',
    SORT = 'sort',
    DESCRIBE = 'describe'
}

type GPTCallOpts = {
    model: string;
    maxTokens: number;
    temp: number;
    prompt: string;
};

const callTypeMap: { [type: string]: GPTCallOpts } = {
    summary: { model: 'gpt-3.5-turbo-instruct', maxTokens: 256, temp: 0.5, prompt: 'Summarize this text in simpler terms: ' },
    edit: { model: 'gpt-3.5-turbo-instruct', maxTokens: 256, temp: 0.5, prompt: 'Reword this: ' },
    completion: { model: 'gpt-3.5-turbo-instruct', maxTokens: 256, temp: 0.5, prompt: '' },
    sort:{model:'gpt-4o',maxTokens:2048,temp:0.5,prompt:"I'm going to give you a list of descriptions. Each one is seperated by ====== on either side. They will vary in length, so make sure to only seperate when you see ======. Sort them into lists by shared content. MAKE SURE EACH DESCRIPTOR IS IN ONLY ONE LIST. Generate only the list with each list seperated by ====== with the elements seperated by ~~~~~~. Try to do around 4 groups, but a little more or less is ok."},
    describe:{model:'gpt-4-vision-preview',maxTokens:2048,temp:0,prompt:"Describe these images in 3-5 words"},


};


/**`
 * Calls the OpenAI API.
 *
 * @param inputText Text to process
 * @returns AI Output
 */

const gptAPICall = async (inputText: string, callType: GPTCallType) => {
    if (callType === GPTCallType.SUMMARY) inputText += '.';
    const opts: GPTCallOpts = callTypeMap[callType];
    try {
        const configuration: ClientOptions = {
            apiKey: "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",
            dangerouslyAllowBrowser: true,
        };
        const openai = new OpenAI(configuration);

        let messages: ChatCompletionMessageParam[] = [
            { role: 'system', content: opts.prompt },
            { role: 'user', content: inputText },
        ];

        const response = await openai.chat.completions.create({
            model: opts.model,
            messages: messages,
            temperature: opts.temp,
            max_tokens: opts.maxTokens,
        });
        const content = response.choices[0].message.content;
        return content;
    } catch (err) {
        console.log(err);
        return 'Error connecting with API.';
    }
};


const gptImageLabel = async (imgUrl: string): Promise<string> => {
    try {
        const configuration: ClientOptions = {
            apiKey: "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",
            dangerouslyAllowBrowser: true,
        };

        const openai = new OpenAI(configuration);
        const response = await openai.chat.completions.create({
            model: 'gpt-4o',
            messages: [
                {
                    role: 'user',
                    content: [
                        { type: 'text', text: 'Describe this image in 3-5 words' },
                        {
                            type: 'image_url',
                            image_url: {
                                url: `${imgUrl}`,
                            },
                        },
                    ],
                },
            ],
        });
        if (response.choices[0].message.content) {
            return response.choices[0].message.content;
        } else {
            return ':(';
        }
    } catch (err) {
        console.log(err);
        return 'Error connecting with API';
    }
};


const gptImageCall = async (prompt: string, n?: number) => {
    try {
        const configuration: ClientOptions = {
            apiKey: process.env.OPENAI_KEY,
            dangerouslyAllowBrowser: true,
        };

        const openai = new OpenAI(configuration);
        const response = await openai.images.generate({
            prompt: prompt,
            n: n ?? 1,
            size: '1024x1024',
        });
        return response.data.map((data: any) => data.url);
        // return response.data.data[0].url;
    } catch (err) {
        console.error(err);
        return;
    }
};

export { gptAPICall, gptImageCall, gptImageLabel, GPTCallType };