Connect OpenAI prompt and Amazon S3 NDJSON file in our serverless environment

class OpenaiSourceGetPromptResponse {
    async init() {
        // TODO: Create your OpenAI credential
        // More info at https://yepcode.io/docs/integrations/openai/#credential-configuration
        this.openai = yepcode.integration.openai("your-openai-credential-name");
    }

    async fetch(publish, done) {
        // TODO: Configure your prompt
        const funnyPrompts = [
            "What do you think of humans?",
            "Do you prefer tabs or spaces?",
            "What's the meaning of life, the universe, and everything?",
            "What's your favorite programming joke?",
            "What's the worst code you've ever seen?",
        ];
        // More info at: https://platform.openai.com/docs/api-reference/completions/create
        const completion = await this.openai.completions.create({
            model: "gpt-3.5-turbo",
            prompt: funnyPrompts,
            max_tokens: 7,
            temperature: 0,
        });

        for (const choice of completion.choices) {
            await publish(choice);
        }
        done();
    }

    async close() {}
}

class AwsS3TargetUploadNdjson {
    async init() {
        // TODO: Create your aws-s3 credential
        // More info at https://yepcode.io/docs/integrations/aws-s3/#credential-configuration
        const awsS3 = yepcode.integration.awsS3("your-aws-s3-credential-name");
        // Transforms the items into a ndjson format
        this.stringifier = ndjson.stringify();
        const targetStream = new PassThrough();
        this.stringifier.pipe(targetStream);
        // TODO: customize the Upload content
        // More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/interfaces/_aws_sdk_lib_storage.options-1.html
        const upload = new Upload({
            client: awsS3,
            params: {
                Bucket: "your-bucket-name",
                Key: "your-file-name.ndjson",
                Body: targetStream,
            },
        });
        upload.on("httpUploadProgress", (progress) => {
            console.log(`Upload progress`, progress);
        });
        this.uploadPromise = upload.done();
    }

    async consume(item) {
        this.stringifier.write(item);
    }

    async close() {
        try {
            this.stringifier.end();
        } catch (error) {
            console.error(`Error ending stringifier`, error);
        }
        try {
            await this.uploadPromise;
        } catch (error) {
            console.error(`Error ending upload`, error);
        }
    }
}