R/api_source_hls.R

In e-sensing/sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes

#' @title Create an items object in an HLS cube
#' @keywords internal
#' @noRd
#' @description \code{.source_items_new()} this function is called to create
#' an items object. In case of Web services, this function is responsible for
#' making the Web requests to the server.
#' @param source     Name of the STAC provider.
#' @param ...        Other parameters to be passed for specific types.
#' @param collection Collection to be searched in the data source.
#' @param stac_query Query that follows the STAC protocol
#' @param tiles      Selected tiles (optional)
#' @return An object referring the images of a sits cube.
#' @export
.source_items_new.hls_cube <- function(source, ...,
                                       collection,
                                       stac_query,
                                       tiles = NULL) {
    # set caller to show in errors
    .check_set_caller(".source_items_new_hls_cube")
    # check netrc file
    suppressWarnings(.check_netrc_gdal(attributes = .conf("HLS_ACCESS_URL")))
    # convert tiles to a valid STAC query
    if (!is.null(tiles)) {
        roi <- .s2_mgrs_to_roi(tiles)
        stac_query[["params"]][["intersects"]] <- NULL
        stac_query[["params"]][["bbox"]] <- c(roi[["lon_min"]],
                                              roi[["lat_min"]],
                                              roi[["lon_max"]],
                                              roi[["lat_max"]]
        )
    } else {
        # Convert roi to bbox
        lon <- stac_query[["params"]][["intersects"]][["coordinates"]][, , 1]
        lat <- stac_query[["params"]][["intersects"]][["coordinates"]][, , 2]
        stac_query[["params"]][["intersects"]] <- NULL
        stac_query[["params"]][["bbox"]] <- c(min(lon),
                                              min(lat),
                                              max(lon),
                                              max(lat)
        )
    }
    # making the request
    items_info <- rstac::post_request(q = stac_query, ...)
    .check_stac_items(items_info)
    # if more than 2 times items pagination are found the progress bar
    # is displayed
    progress <- rstac::items_matched(items_info) > 2 *
        .conf("rstac_pagination_limit")
    # check documentation mode
    progress <- .check_documentation(progress)
    # fetching all the metadata and updating to upper case instruments
    items_info <- rstac::items_fetch(items = items_info, progress = progress)
    # checks if the items returned any items
    .check_stac_items(items_info)
    return(items_info)
}
#' @title Organizes items by tiles for HLS collections
#' @param source     Name of the STAC provider.
#' @param ...        Other parameters to be passed for specific types.
#' @param items      \code{STACItemcollection} object from rstac package.
#' @param collection Collection to be searched in the data source.
#' @return A list of items.
#' @keywords internal
#' @noRd
#' @export
.source_items_tile.hls_cube <- function(source, ...,
                                        items,
                                        collection = NULL) {
    tiles <- strsplit(rstac::items_reap(items, field = "id"), "\\.")
    tiles <- purrr::map_chr(tiles, function(x) x[[3]])
    substr(tiles, 2, 6)
}
#' @noRd
#' @title Configure access.
#' @param source  Data source
#' @param collection Image collection
#' @return Called for side effects
.source_configure_access.hls_cube <- function(source, collection = NULL) {
    .check_set_caller(".source_configure_access_hls_cube")
    # check netrc file
    .check_netrc_gdal(attributes = .conf("HLS_ACCESS_URL"))
    # done!
    return(invisible(source))
}