The goal of gitear is to request your self-hosted Git service data and import it to R in a tidy data frame.
gitear
is a package that communicates with the gitea API.
You can install the development version from GitHub with:
# install.packages("devtools") devtools::install_github("ixpantia/gitear")
First go to your gitea self hosted service and grab your API Token. Then you should be able to the following:
# Credentials api_token <- "gfdsgfd8ba18a866bsdfgsdfgs3a2dc9303453b0c92dcfb19" url_ixpantia <- "https://prueba.com" # Example function use issues <- get_issues(base_url = url_ixpantia, api_key = api_token, owner = "empresa", repo = "repo_prueba") issues #> number title created_date created_time updated_date #> 1 3 Primer tiquete para prueba 2020-07-15 23:43:42 2020-07-24 #> 2 2 Primer tiquete para prueba 2020-07-15 23:12:37 2020-07-24 #> updated_time due_date author assignee #> 1 14:41:47 2020-07-31T23:59:59Z juan juan #> 2 14:41:37 2020-07-31T23:59:59Z juan juan
In order to work with environmental variables to make your scripts safer from somebody getting your credentials, you can follow the next workflow:
Your script could look something like this:
# Storing credentials in an object example_key <- Sys.getenv("example_key") example_url <- Sys.getenv("example_url") # Using a function from gitear issues <- get_issues(base_url = example_url, api_key = example_key, owner = "empresa", repo = "repo_prueba") # Check the output glimpse(issues) #> Rows: 2 #> Columns: 9 #> $ number <int> 3, 2 #> $ title <chr> "Primer tiquete para prueba", "Primer tiquete para pru... #> $ created_date <chr> "2020-07-15", "2020-07-15" #> $ created_time <chr> "23:43:42", "23:12:37" #> $ updated_date <chr> "2020-07-24", "2020-07-24" #> $ updated_time <chr> "14:41:47", "14:41:37" #> $ due_date <chr> "2020-07-31T23:59:59Z", "2020-07-31T23:59:59Z" #> $ author <chr> "juan", "juan" #> $ assignee <chr> "juan", "juan"