DEPRECATED - This repository is no longer being maintained and is available for reuse.
- Install the Cloud Foundry CLI (Command Line Interface):
-
Copy the .github/workflows/build-cloud-gov.yml file to your GitHub repo's default branch (with the same directories).
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Create a new "cloud-gov" branch and delete everything (except for manifest files or an r.yml if you have them) out of it then copy the scripts folder from this repo. (git switch --orphan cloud-gov will create a new empty branch.)
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Add an r.yml file that lists all of the packages your app needs (typically, anything called in a library command). For example, with an app that used shinyjs, ggpubr, readr, dplyr, and shinyWidgets, the r.yml would look like:
---
packages:
- packages:
- name: shinyjs
- name: ggpubr
- name: readr
- name: dplyr
- name: shinyWidgets
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On your default branch, go to the Actions tab in GitHub and run the build-cloud-gov.yml action. The first time you will also need to check the box to also build R dependencies, which should place the R packages your R Shiny app will need on cloud.gov into the cloud-gov branch.
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After that action completes, edit the manifest.yml file it creates in the cloud-gov branch (if you didn't already have one) to pick an appropriate app name and route for your app.
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Pull the cloud-gov branch to your computer and log into cloud.gov on Windows
- In the Windows command line, log into cloud.gov with the command (Note: you may need to replace the cf with cf7 or cf8 depending on your CLI version):
cf login -a api.fr.cloud.gov --sso
- Go to https://login.fr.cloud.gov/passcode, log in, and copy the passcode
- Back in the command line, left-click to paste the passcode and login
- Navigate to your project's directory (in Windows, the cd command followed by the folder name will move to a folder; the tab key will complete the folder's name to save some typing) and then push your app to cloud.gov with the command:
cf push
- For EPA Projects, you will most likely need to use the One EPA Template for R.
This repository also contains a few devcontainers in the .devcontainer folder. They can be copied to your repository and used to run a GitHub devcontainer for either an R Studio Server instance or for multiple Shiny apps to support a training.
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