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#' Get Pregame Probabilities
#'
#' Returns pregame win probabilities, expected scores, and thrill quotients for
#' all games.
#'
#' Under the `type` column, games are classified by one of five indicators,
#' explained below: \describe{ \item{nc}{Non-conference games between two D-1
#' teams.} \item{conf}{In-conference games.} \item{conf_t}{Conference tournament
#' games.} \item{post}{Post-conference tournament games.} \item{nond1}{Games
#' involving one non-D1 team.} }
#'
#' @returns Returns a tibble with 13 columns: \describe{
#' \item{\code{date}}{double.} \item{\code{conf}}{character.}
#' \item{\code{line}}{character.} \item{\code{ttq}}{double. Torvik Thrill
#' Quotient -- measures how good the teams are, how close the game is
#' projected to be, and how fast the tempo is projected to be.}
#' \item{\code{type}}{character. See details.} \item{\code{team1}}{character.}
#' \item{\code{team1_wp}}{double. Estimated win percentage.}
#' \item{\code{team1_pts}}{double. Estimated total points.}
#' \item{\code{team2}}{character.} \item{\code{team2_wp}}{double. Estimated
#' win percentage.} \item{\code{team2_pts}}{double. Estimated total points.}
#' \item{\code{game_id}}{character.} \item{\code{year}}{double.} }
#' @param year Defaults to current season (YYYY).
#' @param team Team to filter for.
#' @param type Game type to filter for ('nc', 'conf', 'conf_t', 'post', 'nond1')
#' @param game_id Game ID to filter for.
#' @importFrom magrittr %>%
#' @importFrom dplyr as_tibble
#' @importFrom httr modify_url
#' @importFrom jsonlite fromJSON
#' @importFrom cli cli_abort
#' @examples
#' \donttest{try(bart_pregame(year=2022))}
#'
#' @export
bart_pregame <- function(year=current_season(), team = NULL, type = NULL, game_id = NULL) {
# test passed year
if (!is.null(year) & !(is.numeric(year) && nchar(year) == 4 && year >= 2008)) {
cli::cli_abort(c(
"{.var year} must be 2008 or later",
"x" = "You passed through {year}"
))
}
base_url <- 'https://api.cbbstat.com/games/pregame?'
parsed <- httr::modify_url(
base_url,
query = list(
year = year,
team = team,
type = type,
game_id = game_id
)
)
data <- data.frame()
tryCatch(
expr = {
data <- jsonlite::fromJSON(parsed) %>%
make_toRvik_data('Pregame Probabilities', Sys.time())
},
error = function(e) {
check_docs_error()
},
warning = function(w) {
},
finally = {
}
)
return(data)
}
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