Quick Start Example

To run the code in this vignette you’ll need to have a GitLab account and you need to generate a personal access token (PAT). See the GitLab documentation on how to generate PATs. In the Scopes section you only need to tick the api box.

• For instance on gitlab.com: https://gitlab.com/-/profile/personal_access_tokens
• Tick the fist checkboxes (the api scope)
• Add the token in your “.Renviron” as GITLAB_COM_TOKEN

R code using ‘gitlabr’ to perform some easy, common GitLab actions can look like this:

library(gitlabr)

# Store your token in .Renviron and restart your session
usethis::edit_r_environ()
# Add: GITLAB_COM_TOKEN=YourTokenHere
# You can verify it worked
Sys.getenv("GITLAB_COM_TOKEN")

# connect as a fixed user to a GitLab instance
set_gitlab_connection(
  gitlab_url = "https://gitlab.com/",
  private_token = Sys.getenv("GITLAB_COM_TOKEN")
)

gl_list_groups(page = 1) # Returns all groups you have access to
gl_list_projects(page = 1) # Returns all projects on GitLab, so we limit to just the first page of results.

# It's unlikely that you'll want to use 'gitlabr' to interact with all the projects on GitLab, so a better approach is to define the project you want to work on. This is done by finding the the project ID on GitLab.com (it is listed right below the project name on the repo front page).
# Here we use the [project "repo.rtask"](https://gitlab.com/statnmap/repo.rtask)
my_project <- 20384533
gl_list_files(project = my_project)

# create a new issue
new_feature_issue <- gl_create_issue(
  title = "Implement new feature",
  project = my_project
)

# statnmap user ID
my_id <- 4809823

# assign issue to me
gl_assign_issue(
  assignee_id = example_user$id,
  issue_id = new_feature_issue$iid,
  project = my_project
)

# List opened issues
gl_list_issues(
  state = "opened",
  project = my_project
)

# close the issue
gl_close_issue(
  issue_id = new_feature_issue$iid,
  project = my_project
)$state

Central features of ‘gitlabr’

• ‘gitlabr’ provides a high and a low level interface to the GitLab API at the same time:
  • Common queries are wrapped in special convenience functions that can be used without any knowledge of the GitLab API itself (convenience functions are listed in a dedicated section on ‘gitlabr’ pkgdown site).
  • Still, the package can be used to access the complete GitLab API – learn how to use its full power in the section “API calls”.
• The output of every call to a ‘gitlabr’ function is a tibble to integrate seamless into dplyr’s data manipulation mindset (often called the “tidyverse”)
• Pagination is wrapped for the user, but can be controlled via parameters page and per_page if necessary.
• To allow programming in your favorite style, everything you can do with ‘gitlabr’ you can do using any of a set of general idioms – get to know them in the section “Different ways to do it”.
• You can write your own convenience wrappers on top of the ‘gitlabr’ logic following only one principle as described in the section “Writing custom GitLab request functions”.

Set connection and explore the GitLab instance

This is the recommended way of using ‘gitlabr’. In order to avoid the repeated specification of gitlab_con() in the parameter style, you can also set a global variable managed by ‘gitlabr’ to use a specific connection function for every call:

set_gitlab_connection(my_gitlab)
gl_create_issue(project = my_project, "Implement new feature")

gl_create_issue() is an example function here, the principle works for all convenience functions of ‘gitlabr’ starting with gl_*()

Note that the set style is not purely functional, since set_gitlab_connection() changes a saved global variable affecting the results of all future gitlab() calls. You can reset this variable to the default value using unset_gitlab_connection().

my_gitlab <- gl_connection(
  gitlab_url = "https://about.gitlab.com/",
  private_token = Sys.getenv("GITLAB_COM_TOKEN")
)

gl_create_issue("Implement new feature", project = my_project, gitlab_con = my_gitlab)

Using GitLab CI with ‘gitlabr’

‘gitlabr’ can also be used to create a .gitlab-ci.yml file to test, build and check an R package using GitLab’s CI software. See the use_gitlab_ci() and related functions for documentation.