#' Get aggregated metrics for all MERMAID surveys, by site, by date
#'
#' Get aggregated metrics from all surveys associated with each site, by date. Includes data from all methods - Fish Belt, Benthic LIT, Benthic PIT, Benthic Photo Quadrat, Bleaching, and Habitat Complexity, - if the data sharing policy for that method is public summary or public (and just includes the sample unit count otherwise). Does not require authorization.
#'
#' @inheritParams mermaid_GET
#'
#' @export
#'
#' @examples
#' \dontrun{
#' mermaid_get_summary_sampleevents()
#' }
mermaid_get_summary_sampleevents <- function(limit = NULL) {
res <- get_endpoint("summarysampleevents", limit = limit)
# Unpack all df-cols (protocols, then everything within it)
unpack_protocols(res)
}
summary_sampleevents_columns <- c(
"project_id", "project", "tags", "country", "site_id", "site", "latitude", "longitude", "reef_type", "reef_zone", "reef_exposure", "management_id", "management", "management_est_year", "management_size", "management_parties", "management_compliance", "management_rules", "sample_date", "data_policy_beltfish", "data_policy_benthiclit", "data_policy_benthicpit", "data_policy_benthicpqt", "data_policy_habitatcomplexity", "data_policy_bleachingqc", "project_notes", "site_notes", "management_notes", "observers", "contact_link", "protocols"
)
unpack_protocols <- function(x) {
protocols_cols <- names(x[["protocols"]])
x <- x %>%
tidyr::unpack(tidyselect::all_of("protocols"))
unpack_all_df_cols(x)
}
unpack_all_df_cols <- function(x) {
df_cols <- purrr::map(x, inherits, "data.frame") %>%
unlist()
df_cols <- names(df_cols[df_cols])
while (length(df_cols) != 0) {
x <- unpack_df_cols(x, df_cols)
df_cols <- purrr::map(x, inherits, "data.frame") %>%
unlist()
df_cols <- names(df_cols[df_cols])
}
x
}
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