Connect Factorial leaves and Algolia in our serverless environment

class HttpSourceFactorialGetLeaves {
    async init() {
        // More info at https://www.npmjs.com/package/axios
        // TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
        // TODO: Add your http credential with factorial information:
        this.httpClient = axios.create({
            baseURL: "https://api.factorialhr.com/api/v1/",
            headers: {
                Authorization: `Bearer ${yepcode.env.FACTORIAL_ACCESS_TOKEN}`,
            },
        });
    }

    async fetch(publish, done) {
        // TODO: Customize your request checking the API documentation:
        // https://apidoc.factorialhr.com/
        const {
            data: {
                leaves
            },
        } = await this.httpClient.get("time/leaves");

        for (const leave of leaves) {
            await publish(leave);
        }
        done();
    }

    async close() {}
}

class AlgoliaTargetSaveObjects {
    async init() {
        // More info at https://www.npmjs.com/package/algoliasearch
        // TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
        this.algoliaClient = algoliasearch(
            yepcode.env.ALGOLIA_APP_ID,
            yepcode.env.ALGOLIA_API_KEY
        );

        // TODO: Customize your index name
        this.algoliaIndex = this.algoliaClient.initIndex("your-algolia-index-name");

        this.objectsToSave = [];
    }
    async consume(item) {
        // TODO: Build your objects to be saved. More info at https://www.algolia.com/doc/api-reference/api-methods/save-objects/
        this.objectsToSave.push(item);
    }

    async close() {
        // We save all the objects in one operation to take advance of performance beneficts that algolia client includes
        // More info at https://www.algolia.com/doc/api-reference/api-methods/save-objects/
        await this.algoliaIndex.saveObjects(this.objectsToSave);
    }
}