knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
slackr
provides a set of tools for making it easier to send messages, data, alerts, etc. directly from R to Slack.
You can use this package to send well-formatted output from R to all teammates (or to specific individuals) at the same time
with little effort. You can send text, R function output, images
from the current graphics device and ggplots
, R objects (as R data files),
rendered LaTeX expressions, and uploaded files.
# CRAN version install.packages("slackr") # Development version devtools::install_github("mrkaye97/slackr")
Version 3.0.0+
removes all references to bot_user_oauth_token
(deprecated in v2.4.0
) in favor of token
. There have also been significant changes to how slackr
and slackr_bot
handle errors. See the changelog for more details.
Version 2.4.0+
now allows users to choose between using a bot token and a user token. See below for details and check the changelog (NEWS.md
) for more changes.
There are three ways of interfacing with slackr
that provide
significantly different functionality:
Creating a single-channel bot
Using only a webhook to send messages to a channel
Creating a fully-functional multi-channel bot
Creating a bot user to send messages to multiple channels, including plots, tables, files, etc. as well as deleting messages, reading the channels in a workspace, etc.
Using a user token to send messages from a specific user's account
Similar to the fully-scoped bot token, but connected to the account of a single user. This approach is not recommended in production settings -- or any settings where a token needs to be shared -- but it can be useful for one-off Slack messages as it lets users send data as themselves as opposed to through a bot.
In most cases, we recommend Option 1
above. This requires the fewest
permissions and is the simplest to set up, and will allow basic messaging to a
specific channel.
See the vignettes for setup instructions.
The vignettes contain setup instructions and example usage:
vignette('scoped-bot-setup', package = 'slackr')
vignette('webhook-setup', package = 'slackr')
vignette('using-slackr', package = 'slackr')
Important Note: The setup process for Option 2
and Option 3
are roughly the same, with only slightly differing scopes.
The slackr_setup()
function will try to read setup values from a ~/.slackr
(you can change the default filepath by recording in the SLACKR_CONFIG_FILE_PATH
environment variable or supplying as an argument to the config_file
parameter) configuration file, which may be easier and more secure than passing
them in manually (plus, will allow you to have multiple slackr
configurations
for multiple Slack.com teams).
The file is in Debian Control File (DCF) format since it really doesn't need to
be JSON and R has a handy read.dcf()
function since that's what DESCRIPTION
files are coded in.
Here's the basic format for the configuration file:
token: xox*-<your app's token> channel: #general username: slackr incoming_webhook_url: https://hooks.slack.com/services/XXXXX/XXXXX/XXXXX icon_emoji: 'boom'
As of slackr 2.3.0
, you can create a config file with create_config_file()
instead of setting it up manually. See the docs for details.
You can also change the default emoji icon (from the one you setup at
integration creation time) with icon_emoji
.
Many thanks to:
for their contributions to the package!
slackr
could quietly fail (i.e. not throw an error, but also not post anything to your channel). If this happens, try explicitly adding the app you're trying to have slackr
post as to the channel you want in your Slack workspace with /invite @your_app_name
or make sure you have chat:write.public
enabled.Add the following code to your website.
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