Connect Remote CSV file and OpenAI prompt in our serverless environment

class HttpSourceReadRemoteCsv {
    async init() {
        // TODO: Create your http credential with endpoint information:
        // More info at https://yepcode.io/docs/integrations/http/#credential-configuration
        // It may manage headers or authentication
        this.httpClient = yepcode.integration.http("your-http-credential-name");
    }

    async fetch(publish, done) {
        // TODO: Customize the path to the csv file
        await this.httpClient
            .get("/the-csv-file-path.csv", {
                responseType: "stream",
            })
            .then(({
                data
            }) => {
                data
                    .pipe(
                        csv.parse({
                            trim: true,
                            columns: true,
                            delimiter: ",",
                            skip_empty_lines: true,
                        })
                    )
                    .on("data", async (line) => {
                        // TODO: Map your item
                        const item = {
                            id: line.Index,
                            name: line.Name
                        };
                        await publish(item);
                    })
                    .on("end", done);
            });
    }

    async close() {}
}

class OpenaiTargetSendPrompt {
    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 consume(item) {
        // TODO: Configure your prompt
        // More info at: https://platform.openai.com/docs/api-reference/completions/create
        const completion = await this.openai.completions.create({
            model: item.model,
            prompt: item.prompt,
            max_tokens: item.maxTokens,
            temperature: item.temperature,
        });

        // Use the completion for whatever you want
        console.log(completion.data.choices[0].text);
    }

    async close() {}
}