.determine.time.resolution <- function(x, ...) {
rng <- range(difftime(x[-1L], x[-length(x)], units = "days"))
a <- round(min(rng))
if (a == 0) {
a <- round(24 * as.numeric(min(rng)))
return(sprintf("%shourly", a))
}
if (a == 1) {
return("daily")
}
if (a %in% 5:9) {
val = "weekly"
} else {
val = "monthly"
}
val
}
.interp <- function(x1, x2, proportion) {
x1 * (1 - proportion) + x2 * proportion
}
.calcProportion <- function(xmin, xmax, x) {
(unclass(x) - unclass(xmin) ) / (unclass(xmax) - unclass(xmin))
}
.big_extract <- function (x, y, ctstime = FALSE, fact = NULL, verbose = TRUE, ...) {
result <- rep(as.numeric(NA), nrow(y))
## progress
pb <- progress::progress_bar$new(
format = "getting ready [:bar] :percent in :elapsed",
total = 10, clear = FALSE, width= 80)
pb$tick(0) ## ---------------------------------------------
resize <- FALSE
if (!is.null(fact)) resize <- TRUE
notime <- FALSE
pb$tick() ## ---------------------------------------------
## TODO, will have to figure out how to do this
args <- list(...)
if ("xylim" %in% names(args)) {
warning("xylim argument ignored (determined automatically from the input data)")
args$xylim <- NULL
}
pb$tick() ## ---------------------------------------------
if ("time.resolution" %in% names(args)) {
files <- x(return_files = TRUE, time.resolution = args$time.resolution, ...)
} else {
files <- x(return_files = TRUE, ...)
}
if (length(files) == 1L) {
notime <- TRUE
}
pb$tick() ## ---------------------------------------------
## data.frame input has assumed structure
## we assume y is lon,lat,time
y1 <- SpatialPoints(as.matrix(y[,1:2]), CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs +towgs84=0,0,0"))
pb$tick() ## ---------------------------------------------
if (notime) {
## assume we want topo/bathy values
thisx1 <- x(xylim = xylim, ...)
if (resize) thisx1 <- aggregate(thisx1, fact = fact, fun = 'mean')
return(extract(thisx1, y1, ...))
}
pb$tick() ## ---------------------------------------------
times <- try(timedateFrom(y[[3L]]))
y <- y1
## chuck a
if (inherits(times, "try-error") | any(is.na(times))) {
##.standard.assumeXYT.TimeError()
}
pb$tick() ## ---------------------------------------------
dummy <- x(inputfiles = files, ...)
yp <- spTransform(y1, projection(dummy))
pb$tick() ## ---------------------------------------------
xylim <- extent(yp)
dx <- xmax(xylim)-xmin(xylim)
dy <- ymax(xylim)-ymin(xylim)
xylim <- xylim + c(dx, dy) / 10
pb$tick() ## ---------------------------------------------
## TODO, this is awful need a fix
time.resolution <- .determine.time.resolution(files$date)
## TODO somehow manage climatology exceptions
## unique indexes
pb$tick() ## ---------------------------------------------
findex <- suppressWarnings(.processDates(times, files$date, timeres = time.resolution))
windex <- .indexDates(times, files$date)
pb$tick() ## ---------------------------------------------
## this won't always work, need to zap anything out of range . . .
if (max(times) == max(files$date[findex])) findex <- c(findex, max(findex) + 1)
findex <- findex[findex <= nrow(files)]
date <- files$date[findex]
l <- list(...)
if ("inputfiles" %in% names(l)) warning("using inputfiles explicitly is deprecated, please don't do it")
mess1 <- ""
pb$tick() ## ---------------------------------------------
## progress
pb <- progress::progress_bar$new(
format = "extracting :what file :ith of :nn [:bar] :percent in :elapsed",
total = length(date), clear = FALSE, width= 80)
pb$tick(0, tokens = list(what = time.resolution, ith = 1, nn = length(date)))
for (i in seq_along(date)) {
thisx <- x(date[i], verbose = FALSE, inputfiles = files, xylim = xylim, ...)
if(resize) thisx <- aggregate(thisx, fact = fact, fun = "mean")
asub <- windex == findex[i]
## no interpolation in time, controlled by "method" for xy
if (any(asub)) {result[asub] <- suppressWarnings(extract(thisx, y[asub, ], ...))}
if (interactive() & verbose) {
pb$tick(tokens = list(what = time.resolution, ith = i, nn = length(date)))
}
}
result
}
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