R/utils.R

Defines functions rbindlist_with_attrs print.wehoop_data make_wehoop_data `%c%` is_installed check_status my_time most_recent_wnba_season most_recent_wbb_season custom_mode is_installed user_message message_completed rds_from_url csv_from_url progressively

Documented in check_status csv_from_url most_recent_wbb_season most_recent_wnba_season progressively rds_from_url

.datatable.aware <- TRUE

#' Progressively
#'
#' This function helps add progress-reporting to any function - given function `f()` and progressor `p()`, it will return a new function that calls `f()` and then (on-exiting) will call `p()` after every iteration.
#'
#' This is inspired by purrr's `safely`, `quietly`, and `possibly` function decorators.
#'
#' @param f a function to add progressr functionality to.
#' @param p a progressor function as created by `progressr::progressor()`
#' @keywords Internal
#'
#' @return a function that does the same as `f` but it calls `p()` after iteration.
#'
progressively <- function(f, p = NULL){
  if (!is.null(p) && !inherits(p, "progressor")) stop("`p` must be a progressor function!")
  if (is.null(p)) p <- function(...) NULL
  force(f)
  
  function(...){
    on.exit(p("loading..."))
    f(...)
  }
  
}

#' @title
#' **Load .csv / .csv.gz file from a remote connection**
#' @description
#' This is a thin wrapper on data.table::fread
#' @param ... passed to data.table::fread
#' @keywords Internal
#' @importFrom data.table fread
csv_from_url <- function(...){
  data.table::fread(...)
}

#' @title
#' **Load .rds file from a remote connection**
#' @param url a character url
#' @keywords Internal
#' @return a dataframe as created by [`readRDS()`]
#' @importFrom data.table data.table setDT
#' @import rvest
rds_from_url <- function(url) {
  con <- url(url)
  on.exit(close(con))
  load <- try(readRDS(con), silent = TRUE)
  
  if (inherits(load, "try-error")) {
    warning(paste0("Failed to readRDS from <", url, ">"), call. = FALSE)
    return(data.table::data.table())
  }
  
  data.table::setDT(load)
  return(load)
}

# The function `message_completed` to create the green "...completed" message
# only exists to hide the option `in_builder` in dots
message_completed <- function(x, in_builder = FALSE) {
  if (!in_builder) {
    usethis::ui_done("{usethis::ui_field(x)}")
  } else if (in_builder) {
    usethis::ui_done(x)
  }
}
user_message <- function(x, type) {
  if (type == "done") {
    usethis::ui_done("{my_time()} | {x}")
  } else if (type == "todo") {
    usethis::ui_todo("{my_time()} | {x}")
  } else if (type == "info") {
    usethis::ui_info("{my_time()} | {x}")
  } else if (type == "oops") {
    usethis::ui_oops("{my_time()} | {x}")
  }
}

# check if a package is installed
is_installed <- function(pkg) requireNamespace(pkg, quietly = TRUE)
# custom mode function from https://stackoverflow.com/questions/2547402/is-there-a-built-in-function-for-finding-the-mode/8189441
custom_mode <- function(x, na.rm = TRUE) {
  if (na.rm) {
    x <- x[!is.na(x)]
  }
  ux <- unique(x)
  return(ux[which.max(tabulate(match(x, ux)))])
}


#' @title
#' **Most Recent Women's College Basketball Season**
#' @export
most_recent_wbb_season <- function() {
  ifelse(
    as.double(substr(Sys.Date(), 6, 7)) >= 10,
    as.double(substr(Sys.Date(), 1, 4)) + 1,
    as.double(substr(Sys.Date(), 1, 4))
  )
}

#' @title
#' **Most Recent WNBA Season**
#' @export
most_recent_wnba_season <- function() {
  ifelse(
    as.double(substr(Sys.Date(), 6, 7)) >= 5,
    as.double(substr(Sys.Date(), 1, 4)),
    as.double(substr(Sys.Date(), 1, 4)) - 1
  )
}

my_time <- function() strftime(Sys.time(), format = "%H:%M:%S")

#' Check Status function
#' @param res Response from API
#' @keywords Internal
#' @import rvest
#'
check_status <- function(res) {
  
  x = httr::status_code(res)
  
  if (x != 200) stop("The API returned an error", call. = FALSE)
  
}

#' @importFrom magrittr %>%
#' @usage lhs \%>\% rhs
NULL

#' @import utils
utils::globalVariables(c("where"))

# check if a package is installed
is_installed <- function(pkg) requireNamespace(pkg, quietly = TRUE)



#' @keywords internal
"_PACKAGE"

#' @importFrom Rcpp getRcppVersion
#' @importFrom RcppParallel defaultNumThreads
NULL

`%c%` <- function(x,y){
  ifelse(!is.na(x),x,y)
}



# Functions for custom class
# turn a data.frame into a tibble/wehoop_data
make_wehoop_data <- function(df, type, timestamp){
  out <- df %>%
    tidyr::as_tibble()
  
  class(out) <- c("wehoop_data","tbl_df","tbl","data.table","data.frame")
  attr(out,"wehoop_timestamp") <- timestamp
  attr(out,"wehoop_type") <- type
  return(out)
}

#' @export
#' @noRd
print.wehoop_data <- function(x,...) {
  cli::cli_rule(left = "{attr(x,'wehoop_type')}",right = "{.emph wehoop {utils::packageVersion('wehoop')}}")
  
  if (!is.null(attr(x,'wehoop_timestamp'))) {
    cli::cli_alert_info(
      "Data updated: {.field {format(attr(x,'wehoop_timestamp'), tz = Sys.timezone(), usetz = TRUE)}}"
    )
  }
  
  NextMethod(print,x)
  invisible(x)
}



# rbindlist but maintain attributes of last file
rbindlist_with_attrs <- function(dflist){
  
  wehoop_timestamp <- attr(dflist[[length(dflist)]], "wehoop_timestamp")
  wehoop_type <- attr(dflist[[length(dflist)]], "wehoop_type")
  out <- data.table::rbindlist(dflist, use.names = TRUE, fill = TRUE)
  attr(out,"wehoop_timestamp") <- wehoop_timestamp
  attr(out,"wehoop_type") <- wehoop_type
  class(out) <- c("wehoop_data","tbl_df","tbl","data.table","data.frame")
  out
}

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wehoop documentation built on Nov. 26, 2023, 1:08 a.m.