This package provides an R client for the RStudio Connect Server
API as well as helpful functions
that utilize the client. The package is based on the rsconnnect
package, but is publicly
exported to be easier to use, is extensible via an R6 class, and is
separated from the rsconnect
package for easier support and
maintenance.
Because many of these functions are experimental, it is advisable to be
cautious about (1) upgrading the package, (2) upgrading RStudio Connect
when you care about the reproducibility of workflows that use
connectapi
. As a result, we would advise:
- managing package versions with
renv
- test your dependent content before and after upgrading RStudio Connect
Please pay careful attention to the lifecycle badges of the various functions and warnings present when you are using experimental features.
Also, please share feedback!! We love hearing how the RStudio Connect Server API is helpful and what additional endpoints would be useful!!
To install from CRAN:
install.packages("connectapi")
To install the development version:
remotes::install_github('rstudio/connectapi')
To create a client:
library(connectapi)
client <- connect(
server = 'https://connect.example.com',
api_key = '<SUPER SECRET API KEY>'
)
You can also define the following environment variables (in a
.Renviron
file, for instance):
CONNECT_SERVER = https://connect.example.com
CONNECT_API_KEY = my-secret-api-key
These environment variable values will be used automatically if defined in your R session.
library(connectapi)
client <- connect()
Once a client is defined, you can use it to interact with RStudio Connect.
You can use the get_
methods to retrieve data from the RStudio Connect
server.
library(connectapi)
client <- connect()
# get data
users <- get_users(client)
groups <- get_groups(client)
usage_shiny <- get_usage_shiny(client)
usage_static <- get_usage_static(client)
some_content <- get_content(client)
# get all content
all_content <- get_content(client, limit = Inf)
The rsconnect
package is usually used for deploying content to
Connect. However, if you want to use programmatic deployment with the
RStudio Connect Server API, then these connectapi
helpers should be
useful!
library(connectapi)
client <- connect()
# deploying content
# NOTE: a `manifest.json` should already exist from `rsconnect::writeManifest()`
bundle <- bundle_dir("./path/to/directory")
content <- client %>%
deploy(bundle, name = "my-app-name") %>%
poll_task()
# set an image for content
content %>%
set_image_path("./my/local/image.png")
content %>%
set_image_url("http://url.example.com/image.png")
# set image and a vanity URL
content %>%
set_image_path("./my/local/image.png") %>%
set_vanity_url("/my-awesome-app")
# change access_type to "anyone"
content$update(access_type = "all")
# edit another piece of content
client %>%
content_item("the-content-guid") %>%
set_vanity_url("/another-awesome-app")
# migrate content to another server
client_prod <- connect(
server = "prod.example.com",
api_key = "my-secret-key"
)
prod_bnd <- client %>%
content_item("the-guid-to-promote") %>%
download_bundle()
client_prod %>%
deploy(prod_bnd, title = "Now in Production") %>%
set_vanity_url("/my-app")
# open a browser to the content item
client_prod %>% browse_dashboard()
client_prod %>% browse_solo()
# open a browser to the docs
client_prod %>% browse_api_docs()
Access Denied Errors?
This is likely due to either (1) Connect$server
or Connect$api_key
being defined improperly or (2) you do not have access to the RStudio
Connect cluster to do the operation in question
Constant warning about version numbers
This warning is intentionally chatty. While version number mismatches
between RStudio Connect and connectapi
can be benign, we want you to
be clear that connectapi
is tightly coupled to a version of RStudio
Connect (because RStudio Connect’s APIs change over time).
We strive to:
- track the latest version of the RStudio Connect API
- add new features as they come available and have demand
- maintain backwards compatibility
These priorities are sometimes at odds, and sometimes they create inconsistencies between versions as a result. To mitigate this, we recommend:
- Track the version of
connectapi
in use for your applications by usingrenv
- Test high value content that uses
connectapi
before updatingconnectapi
or RStudio Connect - Update RStudio Connect to the latest version first when an update
to
connectapi
is needed
Error - Need to update RStudio Connect
As a helpful clarification for users, we have added error messages to API requests when the version implemented in the package specifically introduces a backwards incompatible dependency on older versions of RStudio Connect.
If you get this error message, our recommendation would be:
- Look at
NEWS.md
to find the moment the change was introduced - Downgrade
connectapi
to the previous version of the package - (Advanced) Use the “blame” feature on GitHub to track commits and find out when the error was introduced
Please feel free to open an Issue if you think there is a bug, or ask a free-form question on RStudio Community
Other ideas for FAQs or Common Issues?
Please submit a PR! We would love to have your contribution!
Please note that the connectapi project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.