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#### Flea ff_starter_positions ####
#' Get starters and bench
#'
#' @param conn the list object created by `ff_connect()`
#' @param ... other arguments (currently unused)
#'
#' @describeIn ff_starter_positions Fleaflicker: returns minimum and maximum starters for each player position.
#'
#' @examples
#' \donttest{
#' try({ # try only shown here because sometimes CRAN checks are weird
#' conn <- fleaflicker_connect(season = 2020, league_id = 206154)
#' ff_starter_positions(conn)
#' }) # end try
#' }
#'
#' @export
ff_starter_positions.flea_conn <- function(conn, ...) {
x <- fleaflicker_getendpoint("FetchLeagueRules",
sport = "NFL",
league_id = conn$league_id
) %>%
purrr::pluck("content", "rosterPositions") %>%
tibble::tibble() %>%
tidyr::hoist(1, "label", "group", "eligibility", "start") %>%
dplyr::select("label", "group", "eligibility", min = "start") %>%
dplyr::filter(.data$group == "START") %>%
dplyr::mutate_at("min", tidyr::replace_na, 0) %>%
dplyr::mutate(
total_starters = sum(min),
offense_starters = sum(stringr::str_detect(.data$label, "QB|RB|WR|TE") * .data$min),
defense_starters = sum(stringr::str_detect(.data$label, "EDR|IL|LB|DB|S|CB") * .data$min),
kdst_starters = sum(stringr::str_detect(.data$label, "K|P|D/ST") * .data$min)
) %>%
tidyr::unnest_longer("eligibility") %>%
dplyr::group_by(.data$eligibility, .data$total_starters, .data$offense_starters, .data$defense_starters, .data$kdst_starters) %>%
dplyr::summarise(
pos_min = sum(stringr::str_detect(.data$label, "/", negate = TRUE) * .data$min, na.rm = TRUE),
pos_max = sum(.data$min, na.rm = TRUE)
) %>%
dplyr::ungroup() %>%
dplyr::filter(.data$pos_max != 0) %>%
dplyr::select(
pos = "eligibility",
min = "pos_min",
max = "pos_max",
"offense_starters",
"defense_starters",
"kdst_starters",
"total_starters"
)
return(x)
}
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