Save to GitHub
save_to_gh.Rd
This function uploads or updates a file in a GitHub repository. If the file does not already exist, a new file will be created. If the file already exists, it will be updated with the new data.
Arguments
- df
A dataframe containing the data to be uploaded or used to update an existing file. The dataframe will be converted into a base64-encoded string before being uploaded
- repo
A character string specifying the name of the GitHub repo where the file will be uploaded or updated
- owner
A character string specifying the GitHub username or organization that owns the repository. Defaults to
pipfun.ghowner
option- branch
A character string specifying the branch of the repository where the file should be uploaded or updated. The default is
DEV
branch- filename
A character string specifying the name of the file to be created or updated in the GitHub repository. If not provided, it defaults to repo name
- ext
A character string representing the file extension (e.g.,
.csv
). Default iscsv
- metadata
A list containing metadata for an existing file in the repository. Usually from get_pip_releases It should contain
sha
(the SHA hash of the file) andpath
(the file path in the repository). IfNULL
, the function will check whether the file exists and retrieve the metadata- verbose
A logical: whether to print detailed messages about the process. The default is
TRUE
- message
A character string specifying the commit message for the GitHub upload or update. The default is a message with the current timestamp
Value
Returns invisible(NULL)
. The function primarily performs an upload or update
operation and does not return any value other than invisibly indicating the completion
of the task.
Examples
if (FALSE) { # \dontrun{
# Create a new file on GitHub
df <- data.frame(a = 1:5, b = letters[1:5])
save_to_gh(df = df, repo = "aux_test", filename = "data_example", ext = "csv")
# Update an existing file on GitHub
df <- data.frame(a = 6:10, b = letters[6:10])
save_to_gh(df = df, repo = "aux_test", filename = "data_example", ext = "csv")
} # }