The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

shiny.reglog

Lifecycle: stable CRAN status CRAN checks Codecov test coverage R-CMD-check

1. Introduction

The user authentication in Shiny applications can be very useful. Mainly, user can login to read and write some results of their session into relational database.

On the other hand, it may be handy for your App to allow access of unregistered users. If you need to secure your ShinyApp, there are better alternatives (shinymanager or shinyauthr)

This package contains modules to use in your Shiny application allowing you to automatically insert boxes for login, register, credentials edit and password reset and procedures.

shiny.reglog supports as data containers either databases accessed with RSQLite, RMariaDB, RMySQL and RPostgreSQL drivers or googlesheets-based database (accessed by googlesheets4 package).

It is highly recommended to use one of the DBI-supported databases, though. It is much more optimized and secure, as the database is never loaded as a whole into the memory, but queried as needed. googlesheets database is much easier to set-up, but it shouldn’t be used when you are expecting big userbase.

Registration, credentials edit and password reset procedures programmatically send email to the user of your ShinyApp - to welcome them, inform about change of their user ID and/or email and to give them a reset code to reset their password. shiny.reglog supports two methods of email sending: via emayili or gmailr packages. Both of them have their pros and cons, depending on your accesses: emayili allows for usage of many SMTP servers, while gmailr allowing using gmail messaging via Google REST API.

The emayili is recommended for most applications. gmailr can be useful if you already have application registered and authorized with mail sending scope.

Currently the package is after major change in its code - basically full rewrite to allow more security, usage of more databases and more customization. Past functions are still available in current version, but will generate deprecation warnings.

2. Additional information

Basic information about shiny.reglog is contained within this document. There are some more resources to learn about its usage:

3. Basic structure

There are three main objects that are to be used when implementing RegLog system for login and registration in your ShinyApp. All of them need to be defined in the server code.

4. Installation

You can install this version of shiny.reglog from GitHub with:

# install last stable release from CRAN
install.packages("shiny.reglog")

## or development version from GitHub
install.packages("devtools")
devtools::install.github("StatisMike/shiny.reglog")

5. Setting up dbConnector

You need to create dbConnector object to be used by the RegLogServer to write and read user data from the database.

To set-up the database for RegLog system, you can use helper functions included in this package. They are tested and guarantee compatible structure of the data.

5.1 Googlesheet database method (RegLogGsheetConnector)

  1. Create googlesheet file on your googledrive to support database. You can use gsheet_tables_create() function, which by default creates empty spreadsheets configured correctly.
# create googlesheet and gather its id for later usage
# you can also specify optional 'name' argument for custom gsheet name

gsheet_id <- gsheet_tables_create()

# save you gsheet_id - you need to provide it later to your dbConnector

If you wish to import some existing credentials, you can do it by giving the data.frame object to the user_data argument:

# get some credentials
credentials <- data.frame(
  username = "ShinyReglogTest",
  password = "VeryHardPassword",
  email = "shinyreglog@test"
  )

# create gsheet database with some credentials
gsheet_id <- gsheet_tables_create(
  user_data = credentials,
  # as the password was not hashed with `script` before, 
  # it need to be hashed now
  hash_passwords = T)

  1. Configure googlesheets4 package to use out-of-band (non-interactive) auth. For more information about it visit googlesheets4 documentation.

  2. In the server part of your ShinyApp define RegLogGsheetConnector to provide it afterwards to the RegLogServer object

server <- function(input, output, session) {
  
  dbConnector <- RegLogGsheetConnector$new(
    gsheet_ss = gsheet_id)
  
}

5.2 DBI compatible SQL database (RegLogDBIConnector)

RegLog system out of the box supports SQLite, MySQL, MariaDB and PostgreSQL databases. You can use DBI_tables_create function, which by default creates empty tables configured correctly.

# create a connection to the database. Remember to use user with CREATE TABLE
# scope enabled when useing MySQL, MariaDB or PostgreSQL connection

conn <- DBI::dbConnect(
  RSQLite::SQLite(),
  dbname = "reglog_db.sqlite"
)

# using this connection create the tables.
DBI_tables_create(conn = conn)

# disconnect from the database after creation
DBI::dbDisconnect(conn)

If you wish to import some credentials, you can do it by providing the data.frame object to the user_data argument:

# get some credentials
credentials <- data.frame(
  username = "ShinyReglogTest",
  password = "VeryHardPassword",
  email = "shinyreglog@test")

conn <- DBI::dbConnect(
  RSQLite::SQLite(),
  dbname = "reglog_db.sqlite"
)

# create database using the connection
DBI_tables_create(
  conn = conn,
  user_data = credentials,
  # as the password was not hashed with `script` before, 
  # it need to be hashed now
  hash_passwords = T)

DBI::dbDisconnect(conn)
  1. In the server part of your ShinyApp define RegLogDBIConnector to provide it afterwards to the RegLogServer object.
server <- function(input, output, session) {
  
  dbConnector <- RegLogDBIConnector$new(
    driver = RSQLite::SQLite(),
    dbname = "reglog_db.sqlite")
  
}

5.3. MongoDB-based connector (RegLogMongoConnector)

MongoDB is very popular NoSQL database with pretty low entry-point. Connector is still experimental.

Setup is analogous to other database connectors. For more informations, refer to documentation: ?mongo_tables_create(), ?RegLogMongoConnector

6. Setting up mail connectors

You need to create mailConnector object to be used by the RegLogServer to write and read user data from the database. There are two classes defined to use emayili or gmailr packages as backend.

6.1. Using emayili (RegLogEmayiliConnector)

This backend is recommended to use. It supports many SMTP servers, mostly with username and password based identification.

server <- function(input, output, session) {
  
  mailConnector <- RegLogEmayiliConnector$new(
    from = "email@sending.com",
    # to learn how to setup emayili smtp server read ?emayili::server
    smtp = emayili::server(...)
  )
  
}

6.2. Using gmailr (RegLogGmailrConnector)

This backend is only viable if you have an app registered in Google Cloud Console. It authorizes and sends email via gmail REST API, needing Oauth authorization with high scopes.

server <- function(input, output, session) {
  
  mailConnector <- RegLogGmailrConnector$new(
    from = "email@gmail.com"
  )
  
}

7. Setup RegLogServer

All of RegLog system is generated and maintained by the object of class RegLogSystem in unison with dbConnector and mailConnector of your choosing.

Its setup is pretty straightforward:

server <- function(input, output, session) {
  
  RegLog <- RegLogServer$new(
    # both of these elements need to be defined firstly or in this call
    dbConnector = dbConnector,
    mailConnector = mailConnector
  )
}

Besides these two mandatory arguments, there are also some additional arguments to be used for customization.

7.1. Retrieve information from RegLogServer

After setting up and assigning the object your application logic can observe status of user in current session by public fields containing reactiveVal objects.

## if you assigned the RegLogServer to 'RegLog' object, as in examples above:

# boolean showing if the user is logged in:
RegLog$is_logged()

# character vector containing user ID: either specific to the user if logged
# in, or unique anonymous ID generated with 'uuid::UUIDgenerate()'
RegLog$user_id()

# character vector containing user email if logged in
RegLog$user_mail()

# integer of the account ID inside the database - for identifying the logged user
# across relative tables
RegLog$account_id()

There are much more to be learned about RegLogServer object - for more information read RegLogServer object fields and methods. Above information is enough for basic setup.

8. Insert UI elements

Every part of the UI is generated by RegLogServer, and could be accessed by provided functions containing tagList.

8.1. Login UI

Providing GUI to allow logging in if user is already registered to your application.

RegLog_login_UI()

8.2. Register UI

Providing GUI for registering new account.

After account registration, user will receive confirmation email on their password.

RegLog_register_UI()

8.3. Credentials edit UI

Providing GUI for changing credentials.

RegLog_credsEdit_UI()

8.4. Reset password UI

Providing GUI for password reset.

RegLog_resetPass_UI()

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.