Connect OpenAI prompt and Amazon S3 CSV 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 AwsS3TargetUploadCsv {
    async init() {
        // TODO: Create your aws-s3 credential
        // More info at https://yepcode.io/docs/integrations/aws-s3/#credential-configuration
        this.awsS3 = yepcode.integration.awsS3("your-aws-s3-credential-name");
        // Transforms the items into a csv format
        this.stringifier = csv.stringify({
            delimiter: ",",
        });
        this.targetStream = new PassThrough();
        this.stringifier.pipe(this.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
        this.upload = new Upload({
            client: this.awsS3,
            params: {
                Bucket: "your-bucket-name",
                Key: "your-file-name.csv",
                Body: this.targetStream,
            },
        });
        this.upload.on("httpUploadProgress", (progress) => {
            console.log(`Upload progress`, progress);
        });
        this.uploadPromise = this.upload.done();
    }

    async consume(item) {
        // TODO: customize the csv row to create from your item content
        const csvRow = [item.value, item.text];
        this.stringifier.write(csvRow);
    }

    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);
        }
    }
}