#' Get SC126 - Diet data from Creel_Portal API
#'
#' This function accesses the api endpoint to for SC126 records. SC126
#' records contain the counts of identifiable items in found in the
#' stomachs of sampled fish. This function takes an optional filter
#' list which can be used to return records based on several different
#' attributes of the diet item (taxon, taxon_like), as well as,
#' attributes of the sampled fish such as the species, or group code,
#' or attributes of interview, or the creel(s) that the samples were
#' collected in.
#'
#' Use \code{show_filters("sc126")} to see the full list of available
#' filter keys (query parameters). Refer to
#' \url{https://intra.glis.mnr.gov.on.ca/creels/api/v1/swagger/} and
#' filter by "sc126" for additional information.
#'
#' @param filter_list list
#' @param show_id When 'FALSE', the default, the 'id' and 'slug'
#' fields are hidden from the data frame. To return these columns
#' as part of the data frame, use 'show_id = TRUE'.
#' @param to_upper - should the names of the dataframe be converted to
#' upper case?
#'
#' @author Adam Cottrill \email{adam.cottrill@@ontario.ca}
#' @return dataframe
#' @export
#' @examples
#'
#' sc126 <- get_SC126(list(lake = "HU", year = 2000, spc = "334"))
#'
#' filters <- list(
#' lake = "ER",
#' protocol = "TWL",
#' spc = c("331", "334"),
#' sidep0__lte = 20
#' )
#' sc126 <- get_SC126(filters)
#'
#' filters <- list(
#' lake = "SU",
#' prj_cd = c("LSA_IA15_CIN", "LSA_IA17_CIN"),
#' eff = "051",
#' spc = "091"
#' )
#' sc126 <- get_SC126(filters)
#'
#' filters <- list(lake = "HU", spc = "076", grp = "55")
#' sc126 <- get_SC126(filters)
#' sc126 <- get_SC126(filters, show_id = TRUE)
get_SC126 <- function(filter_list = list(), show_id = FALSE, to_upper = TRUE) {
recursive <- ifelse(length(filter_list) == 0, FALSE, TRUE)
query_string <- build_query_string(filter_list)
check_filters("sc126", filter_list, "creels")
my_url <- sprintf(
"%s/sc126/%s",
get_sc_portal_root(),
query_string
)
payload <- api_to_dataframe(my_url, recursive = recursive)
payload <- prepare_payload(payload, show_id, to_upper)
return(payload)
}
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