dev/03_deploy.R

In LieberInstitute/spatialLIBD: spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data

# Deploy a Prod-Ready, Robust Shiny Application.
#
# 4. Test my package

devtools::test()
rhub::check_for_cran()

# 5. Deployment elements

## 5.1 If you want to deploy on RStudio related platforms
golem::add_rstudioconnect_file()
golem::add_shinyappsio_file()
golem::add_shinyserver_file()

## 5.2 If you want to deploy via a generic Dockerfile
# golem::add_dockerfile()

## 5.2 If you want to deploy to ShinyProxy
# golem::add_dockerfile_shinyproxy()

## 5.2 If you want to deploy to Heroku
# golem::add_dockerfile_heroku()


## The original code:

# library('rsconnect')
# load('.deploy_info.Rdata')
# rsconnect::setAccountInfo(name = deploy_info$name,
#     token = deploy_info$token,
#     secret = deploy_info$secret)
# options(repos = BiocManager::repositories())
# deployApp(
#     appFiles = c(
#         'ui.R',
#         'server.R',
#         'global.R',
#         dir('data', full.names = TRUE, recursive = TRUE)
#     ),
#     appName = 'spatialLIBD',
#     account = 'jhubiostatistics',
#     server = 'shinyapps.io'
# )
# Y