# Building a Prod-Ready, Robust Shiny Application.
#
# README: each step of the dev files is optional, and you don't have to
# fill every dev scripts before getting started.
# 01_start.R should be filled at start.
# 02_dev.R should be used to keep track of your development during the project.
# 03_deploy.R should be used once you need to deploy your app.
#
#
###################################
#### CURRENT FILE: DEV SCRIPT #####
###################################
# Engineering
## Dependencies ----
## Add one line by package you want to add as dependency
usethis::use_package( "shinydashboardPlus")
## Add modules ----
## Create a module infrastructure in R/
golem::add_module( name = "DT_summary_table" ) # Name of the module
golem::add_module( name = "name_of_module2" ) # Name of the module
## Add helper functions ----
## Creates ftc_* and utils_*
golem::add_fct( "prepare_data_DT_table" )
golem::add_utils( "plotly_helpers" )
## External resources
## Creates .js and .css files at inst/app/www
golem::add_js_file( "script" )
golem::add_js_handler( "handlers" )
golem::add_css_file( "custom" )
## Add internal datasets ----
## If you have data in your package
usethis::use_data_raw( name = "my_dataset", open = FALSE )
## Tests ----
## Add one line by test you want to create
usethis::use_test( "app" )
# Documentation
## Vignette ----
usethis::use_vignette("coffeeroastingprofiles")
devtools::build_vignettes()
## Code coverage ----
## (You'll need GitHub there)
usethis::use_github()
usethis::use_travis()
usethis::use_appveyor()
# You're now set! ----
# go to dev/03_deploy.R
rstudioapi::navigateToFile("dev/03_deploy.R")
## Other ----
devtools::document() # update roxygen
devtools::build_readme()
usethis::use_mit_license()
# Resources:
# Remote file servers: https://rpubs.com/berdaniera/shinyshop-remotedata
# list(
# name = reactive(input$var),
# value = reactive(data()[[input$var]])
# )
# inheritParams
# library(shinyvalidate)
# library(shinyFeedback) # https://github.com/merlinoa/shinyFeedback and https://mastering-shiny.org/action-feedback.html, good for a single input, validate() is for output
# filter(.data[[input$var]] > .env$input$min)) or diamonds %>% filter(.data[[var]] > .env$min)
# create dynamic and multiple dropwdowns: https://mastering-shiny.org/action-dynamic.html
# ctrl shift enter
# jobs in C:\Users\dotjaz\Documents\RStudio\background-jobs view: rstudioapi::viewer("http://127.0.0.1:5101")
# traceback() to find error location, add browser() in code to launch debugger
# breakpoints - debugger tool - press n,c,q
# use message() glue::glue() str()
# selectVarServer("var", reactive(input$x)))
# ctrl . to find function
# Testing: https://mastering-shiny.org/scaling-testing.html
# more testing https://speakerdeck.com/colinfay/workshop-building-successful-shiny-apps-with-golem?slide=130
# Performance: https://mastering-shiny.org/performance.html
# CSS AND ICONS
# https://www.w3schools.com/css/ a resource for CSS
# https://codepen.io/sosuke/pen/Pjoqqp to get FILTER colors for SVG (like hexbin) - plug in color and scroll down
# https://icons8.com/ free icons - recolor (#8F9BB3) before download at 60pxPNG
############ ADD MODULE ###########
# Put this in the actual app to reference these modules
# UI: crsh_svr_mth_ui("crsh_svr_mth")
# Server: crsh_svr_mth_server("crsh_svr_mth", filtered_crashes())
# To add a new chart - use this
# crsh_svr_mth_server <- function(id, crash_df()) {
# moduleServer(id, function(input, output, session) {
# plotly stuff goes here
# })
# }
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