mgaroub
commented
3 years ago There are currently some issues with dash-r deployment because plotly updated their docker images, but not their documentation, so neither the official setup or the one from last year's class is working at the moment. I will give an update on lecture 6 on Wed if we can figure this out before then.
- Deploy your app on Heroku and include the link to your deployed dashboard clearly visible near the top of your README.
- Don't push to Heroku after the milestone deadline.
- We will compare the milestone release commits with the deployed app so updating it after the deadline will give a late penalty. If you want your newest changes deployed online, you can create a new heroku repo.
- Heroku does not have native support for R so we will need to use a docker image provided by Dash.
- We will follow the dash docs.
- You need to change the Dockerfile to make sure you get version 3.6.3 of the docker image instead of 3.6.2.
- Because of this, I don't want to change the file structure from the docs, so put your app.R in the root project folder (together with all other files mentioned in the deployment docs),
- Any other folders can be the same as for your Python project.
- Don't wait to deploy until Saturday night, you will not have time to solve potential issues.
- Deploy early and check that things are working, then redeploy every now and then.
- After making the milestone release, make a final push to Heroku to redeploy the miletone app.
- This is especially important for R, since it takes about 15 min for the docker image to deploy.
- Before Joel's OH