# vim:textwidth=80:expandtab:shiftwidth=4:softtabstop=4

library(oce)

f <- "~/Dropbox/data/archive/landsat/LC80080292014065LGN00"

# Note the check on whether tiff is installed; otherwise we will get an error.
# This is because oce only recommends tiff, as opposed to depending on tiff,
# because not all oce users will need to work with landsat data.)
if (file.exists(f) && requireNamespace("tiff", quietly = TRUE)) {
    test_that("read landsat (private file)", {
        # Note the check on whether tiff is installed; otherwise we
        # will get an error.  This is because oce only recommends
        # tiff, as opposed to depending on tiff, because not all oce
        # users will need to work with landsat data.)
        expect_warning(l <- read.landsat(f, band = "tirs1"))
        expect_equal(dim(l@data$tirs1$msb), c(7861, 7991))
        expect_equal(dim(l@data$tirs1$lsb), c(7861, 7991))
        expect_equal(
            l@data$tirs1$lsb[2000, 2000:2005],
            as.raw(c(0xb1, 0x94, 0x77, 0x5a, 0x47, 0x41))
        )
        expect_equal(
            l@data$tirs1$msb[2000:2005, 2000],
            as.raw(c(0x3c, 0x3c, 0x3c, 0x3c, 0x3b, 0x3b))
        )
    })
}


test_that("landsatTrim", {
    data(landsat)
    lt <- landsatTrim(landsat, list(longitude = -64, latitude = 44), list(longitude = -63, latitude = 45))
    expect_equal(dim(lt[["aerosol"]]), c(27, 38))
    expect_equal(dim(lt[["blue"]]), c(27, 38))
    expect_equal(dim(lt[["green"]]), c(27, 38))
    expect_equal(dim(lt[["red"]]), c(27, 38))
    expect_equal(dim(lt[["nir"]]), c(27, 38))
    expect_equal(dim(lt[["swir1"]]), c(27, 38))
    expect_equal(dim(lt[["swir2"]]), c(27, 38))
    expect_equal(dim(lt[["panchromatic"]]), c(55, 74))
    expect_equal(dim(lt[["cirrus"]]), c(27, 38))
    expect_equal(dim(lt[["tirs1"]]), c(27, 38))
    expect_equal(dim(lt[["tirs2"]]), c(27, 38))
    expect_equal(lt[["lllat"]], 44)
    expect_equal(lt[["urlat"]], 45)
    expect_equal(lt[["lllon"]], -64)
    expect_equal(lt[["urlon"]], -63)
    expect_equal(c(27, 38), dim(lt[["tirs1"]]))
})