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# Copyright (c) 2026, Adrian Dusa
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, in whole or in part, are permitted provided that the
# following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * The names of its contributors may NOT be used to endorse or promote
# products derived from this software without specific prior written
# permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL ADRIAN DUSA BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#' Import data with a prepared metadata sweep session
#'
#' @description
#' Import a dataset and immediately prepare metadata for a declared consumer
#' profile. The returned session remains reusable for every profile; `prepare`
#' controls only which projection is warm when the import returns.
#'
#' @param from Path to a dataset supported by [convert()].
#' @param revision One non-missing atomic revision token for the imported data.
#' @param prepare One of `"progressive"`, `"dialogr"`, or `"codebook"`.
#' @param columns Integer positions or unambiguous variable names to prepare.
#' `NULL` prepares every column. Progressive consumers should provide their
#' initial visible range.
#' @param fields Optional field groups passed to [metadataSweepRead()].
#' @param xml_options Named arguments passed to the variable XML generator.
#' @param ... Import arguments passed to [convert()]. The import destination is
#' always R; `to` must not be supplied.
#'
#' @return An object with `data`, `session`, and the prepared `projection`.
#' Close `session` with [metadataSweepClose()] when it is no longer needed.
#'
#' @examples
#' \dontrun{
#' imported <- metadataSweepImport(
#' "survey.sav",
#' revision = 1L,
#' prepare = "progressive",
#' columns = 1:20
#' )
#' metadataSweepClose(imported$session)
#' }
#'
#' @export
metadataSweepImport <- function(from, revision, prepare = "progressive",
columns = NULL, fields = NULL, xml_options = list(), ...) {
.metadataSessionValidateRevision(revision)
profiles <- c("progressive", "dialogr", "codebook")
if (!is.character(prepare) || length(prepare) != 1L || is.na(prepare) ||
!is.element(prepare, profiles)) {
stop("Prepare must be one supported metadata profile.")
}
dots <- list(...)
if (is.element("to", names(dots))) {
stop("Metadata sweep imports always import to R; do not supply 'to'.")
}
data <- do.call(convert, c(list(from = from, to = NULL), dots))
if (!is.data.frame(data)) {
stop("The imported object is not a data frame.")
}
session <- metadataSweepCapture(data, revision)
complete <- FALSE
on.exit({
if (!complete) {
metadataSweepClose(session)
}
})
projection <- metadataSweepRead(
session = session,
revision = revision,
columns = columns,
fields = fields,
xml_options = xml_options,
profile = prepare
)
result <- structure(
list(
data = data,
session = session,
projection = projection
),
class = "ddiwr_metadata_import"
)
complete <- TRUE
return(result)
}
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