# upload files to AWS S3
allextpat <- "\\.[Rr][Dd][AaSs]$|\\.[Mm][Tt][Xx]\\.[Gg][Zz]$|\\.[Hh]5$"
.version_folder <- function(version) {
paste0("v", version)
}
.getDataFiles <- function(directory = "~/data/scmm",
dataDir = "mouse_gastrulation", pattern = allextpat, version = "1.0.0"
) {
vfolder <- .version_folder(version)
location <- file.path(directory, dataDir, vfolder)
list.files(
location, pattern = pattern, full.names = TRUE, recursive = FALSE
)
}
## check files are listed
.getDataFiles(dataDir = "pbmc_10x", version = "1.0.1")
# IMPORTANT!
# Make sure that AWS_DEFAULT_REGION, AWS_ACCESS_KEY_ID, and
# AWS_SECRET_ACCESS_KEY are set in the ~/.Renviron file
# source("inst/scripts/make-metadata.R")
upload_aws <- function(
DataType, directory = "~/data/scmm", upload = FALSE,
fileExt = allextpat, version = "1.0.0"
) {
if (missing(DataType))
stop("Enter a 'DataType' folder")
datafilepaths <- .getDataFiles(
directory = directory, dataDir = DataType,
pattern = fileExt, version = version
)
vfolder <- .version_folder(version)
bucketLocation <-
file.path("experimenthub", "SingleCellMultiModal", DataType, vfolder)
if (!upload)
message("Data NOT uploaded")
if (upload)
AnnotationHubData:::upload_to_S3(file = datafilepaths,
remotename = basename(datafilepaths),
bucket = bucketLocation)
else
file.path("s3:/", bucketLocation, basename(datafilepaths))
}
# upload_aws(DataType = "mouse_gastrulation", version = "1.0.0", upload=TRUE)
# upload_aws(DataType = "mouse_gastrulation", version = "2.0.0", upload=TRUE)
# upload_aws(DataType = "cord_blood", directory="CITEseq", version = "1.0.0",
# upload=TRUE)
# upload_aws(DataType = "mouse_visual_cortex", upload=TRUE)
# upload_aws(DataType = "pbmc_10x", directory = "~/data/scmm",
# version = "1.0.0", upload = TRUE)
# upload_aws(DataType = "mouse_embryo_8_cell", directory = "~/data/scmm",
# version = "1.0.0", upload = TRUE)
# upload_aws(DataType = "pbmc_10x", directory = "~/data/scmm",
# version = "1.0.1", upload = TRUE)
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