Server side handler for ios app store review scraper that does analysis on them with chatgpt

reviews.ts

// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import { NextApiRequest, NextApiResponse } from 'next';
import { getReviews } from 'app-store-scraper-reviews';
import { Configuration, OpenAIApi } from 'openai';

const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);

const sleep = (time: number) =>
  new Promise((resolve) => setTimeout(resolve, time));

export default async function handler(
  req: NextApiRequest,
  res: NextApiResponse
) {
  const { country, appId, appName, numberOfReviews } = req.body;
  const reviews = await getReviews({
    country,
    appId,
    appName,
    numberOfReviews,
  });

  const blockTokenSize = 2500;
  const blocks: Array<string> = [''];
  let currentBlock = 0;

  for (const review of reviews) {
    if (
      review.attributes.review.length + blocks[currentBlock]?.length >=
      blockTokenSize
    ) {
      currentBlock++;
      blocks[currentBlock] = review.attributes.review;
    } else {
      blocks[currentBlock] += `${review.attributes.review}`;
    }
  }

  const suggestions: string[] = [];

  for (const block of blocks) {
    try {
      const completion = await openai.createChatCompletion({
        model: 'gpt-3.5-turbo',
        max_tokens: 300,
        n: 1,
        messages: [
          {
            role: 'system',
            content:
              'You are an AI language model trained to analyze ios app reviews and create suggestions for improvements.',
          },
          {
            role: 'user',
            content: `You must respond ONLY with JSON as an array of strings and no extra text. Based on the following reviews, suggest 5 improvements: ${block}`,
          },
        ],
      });

      const result = JSON.parse(
        completion.data.choices[0].message?.content || ''
      );

      if (Array.isArray(result)) {
        result.forEach((s: string) => suggestions.push(s));
      }
    } catch (error) {
      console.log('error: ', error);
    } finally {
      await sleep(500);
    }
  }

  return res.status(200).json(suggestions);
}