An interface to the RequestTracker API.
install.packages("rt")
To start using the rt
package, log in to your RT
instance by setting the server URL in using Sys.setenv
and
use rt_login()
to log in and store your session
locally.
Below, we log into Best Practical’s demo installation of RT:
library(rt)
Sys.setenv("RT_BASE_URL" = "https://demo.bestpractical.com")
rt_login() # Enter demo/demo
Once you are successfully logged in, you’re all set to use the
package. The rt
package supports all of the RequestTracker REST
API:
rt_login()
rt_logout()
rt_ticket_properties()
rt_ticket_links()
rt_ticket_attachments()
rt_ticket_attachment()
rt_ticket_attachment_content()
rt_ticket_history()
rt_ticket_history_entry()
rt_ticket_search()
rt_ticket_create()
rt_ticket_edit()
rt_ticket_history_reply()
rt_ticket_history_comment()
rt_ticket_links_edit()
rt_user_properties()
rt_user_create()
rt_user_edit()
rt_queue_properties()
Note: Most of these functions support being chained together (for
example, with the %>%
).
See the included vignettes for more information about usage.
To log out, use the rt_logout
function (or restart your
R session):
rt_logout()
A test suite is provided that is comprised mostly of integration
tests that are configured to run against a local installation of RT. By
default, running devtools::test()
will only run a small
subset of the full test suite: those that do not depend on being able to
call out to an RT installation (i.e., unit tests).
To run the full test suite locally,
Start a local RT installation with Docker:
docker run -d --name rt -p 80:80 netsandbox/request-tracker
Turn on integration tests for your session
Sys.setenv("RT_INTEGRATION" = TRUE)
Run devtools::test()
from the same session as
(2)
rt_api
objectsAll API calls go through an intermediate state as an
rt_api
object, which is made up of three parts:
content
, generally returned as a tibble/data
framepath
or URL that was accessedresponse
from the API.This is mainly to help normalize out some of the inconsistencies in the RT API itself and make implementing the API call wrappers easier.
Let us know about any issues or bugs.
Support was provided by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California.