See Frontend repo at https://github.com/luks04/cg_technical_challenge_frontend.git

It contains a Flask app which resolve the following objective:

Bulid a web service which exposes the current exchange rate of USD to MXN from three different sources in the same endpoint. The response format should be something like the following:

"rates": {
    "provider_1": {
        "last_updated": "2018-04-22T18:25:43.511Z",
        "value": 20.4722
    },
    "provider_2_variant_1": {
        "last_updated": "2018-04-23T18:25:43.511Z",
        "value": 20.5281
    }
}

Exchange rate sources:

• Diario Oficial de la Federación - No API provided, so you will need to scrape the site
• Fixer - Well documented API in JSON format
• Banxico - Service SF43718. API returns XML.

Extra requirements:

• API should be accessed with an Application Token.
• API should have a rate limit per user.

Heroku CLI needed. The Flask app is containerized using Docker, so to deploy the app in a production environment it is recommended to use Gunicorn (see src/Dockerfile).

1. Clone the repo, checkout to the "main" branch and login into Heroku CLI:

git clone https://github.com/luks04/cg_technical_challenge_backend.git
cd cg_technical_challenge_backend
git checkout main
heroku login

2. Delete Heroku remote old repository:

git remote rm heroku

3. Check remote repositories:

git remote -v

4. Deploy the app with a Dockerfile using heroku.yml:

heroku create <app_name>
heroku stack:set container
git push heroku <source_branch>:main

5. Deploy new changes:

git add .
git commit -m "<commit message>"
git push heroku <source_branch>:main

6. To show the logs use the next command:

heroku logs --tail