#' Read array component from HDF5 file
#'
#' Function to read array type data from hdf5 file.
#'
#' @param handle an object of class \code{fdp, R6} containing metadata required
#' by the Data Pipeline API
#' @param data_product a \code{string} specifying a data product
#' @param component a \code{string} specifying a data product component
#'
#' @return Returns an array with attached \code{Dimension_i_title},
#' \code{Dimension_i_units}, \code{Dimension_i_values}, and \code{units}
#' attributes, if available
#'
#' @export
#'
read_array <- function(handle,
data_product,
component) {
# If data product is missing from config file throw an error
check_config(handle, data_product, "read")
# Read file ---------------------------------------------------------------
tmp <- resolve_read(handle, data_product, component)
read_dataproduct <- tmp$data_product
read_component <- tmp$component
read_component_url <- tmp$component_url
read_version <- tmp$version
read_namespace <- tmp$namespace
path <- tmp$path
if (!file.exists(path)) usethis::ui_stop("File missing from data store")
file.h5 <- rhdf5::h5read(path, read_component)
# Extract data object
object <- file.h5$array
if (is.vector(object)) object <- t(matrix(object))
# Extract dimension names and make sure they're in the right order
ind <- grep("Dimension_[0-9]*_names", names(file.h5))
h5file <- file.h5[ind]
ord <- order(names(h5file))
h5file <- h5file[ord]
# Attach dimension names to the object
for (i in seq_along(h5file)) {
if (i == 1) {
rownames(object) <- h5file[[i]]
} else if (i == 2) {
colnames(object) <- h5file[[i]]
} else {
dimnames(object)[[i]] <- h5file[[i]]
}
}
# Attach remaining list elements as attributes
ind <- grep("Dimension_[0-9]_names|array", names(file.h5))
h5attr <- file.h5[-ind]
for (i in seq_along(h5attr)) {
attr(object, names(h5attr)[i]) <- h5attr[[i]]
}
rhdf5::h5closeAll()
# Write to handle ---------------------------------------------------------
# If data product is already recorded in handle return index
index <- check_handle(handle, data_product, "inputs", component)
if (is.null(index))
handle$input(data_product = data_product,
use_data_product = read_dataproduct,
use_component = read_component,
use_version = read_version,
use_namespace = read_namespace,
path = path,
component_url = read_component_url)
cli::cli_alert_success(
"Reading {.value {read_component}} from {.value {read_dataproduct}}")
# Generate output ---------------------------------------------------------
object
}
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