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This function facilitates the bulk uploading of multiple files from the local project folder to the project's designated S3 folder. By using cloud_local_ls, you can obtain a dataframe detailing the contents of the local folder. Applying cloud_s3_upload_bulk to this dataframe allows you to upload all listed files to S3.

Usage

cloud_s3_upload_bulk(content, quiet = FALSE, root = NULL)

Arguments

content

(data.frame) Output of cloud_s3_ls()

quiet

All caution messages may be turned off by setting this parameter to TRUE.

root

S3 path of the project root. This serves as the reference point for all relative paths. When left as NULL, the root is automatically derived from the cloudfs.s3 field of the project's DESCRIPTION file.

Value

Invisibly returns the input content dataframe.

Examples

if (FALSE) { # interactive()
# create toy plots: 2 png's and 1 jpeg
dir.create("toy_plots")
png("toy_plots/plot1.png"); plot(rnorm(100)); dev.off()
png("toy_plots/plot2.png"); plot(hist(rnorm(100))); dev.off()
png("toy_plots/plot3.jpeg"); plot(hclust(dist(USArrests), "ave")); dev.off()

# upload only the two png's
cloud_local_ls("toy_plots")  |> 
  dplyr::filter(type == "png")  |> 
  cloud_s3_upload_bulk()

# clean up
unlink("toy_plots", recursive = TRUE)
  
}