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#############################################################################
#
# XLConnect
# Copyright (C) 2010-2024 Mirai Solutions GmbH
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
#############################################################################
#############################################################################
#
# Tests whether data.frame's pushed and pulled to/from Java
# are consistent (with respect to some defined differences;
# see 'normalizeDataframe')
#
# Author: Martin Studer, Mirai Solutions GmbH
#
#############################################################################
test.dataframeConversion <- function() {
testDataFrame <- function(df) {
res <- XLConnect:::dataframeFromJava(XLConnect:::dataframeToJava(df), check.names = TRUE)
checkEquals(normalizeDataframe(df), res, check.attributes = FALSE, check.names = TRUE)
}
if(getOption("FULL.TEST.SUITE")) {
# built-in dataset mtcars
testDataFrame(mtcars)
# built-in dataset airquality
testDataFrame(airquality)
# built-in dataset attenu
testDataFrame(attenu)
# built-in dataset ChickWeight
testDataFrame(ChickWeight)
# built-in dataset CO2
testDataFrame(CO2)
# built-in dataset iris
testDataFrame(iris)
# built-in dataset longley
testDataFrame(longley)
# built-in dataset morley
testDataFrame(morley)
# built-in dataset swiss
testDataFrame(swiss)
}
# custom test dataset
cdf <- data.frame(
"Column.A" = c(1, 2, 3, NA, 5, Inf, 7, 8, NA, 10),
"Column.B" = c(-4, -3, NA, -Inf, 0, NA, NA, 3, 4, 5),
"Column.C" = c("Anna", "???", NA, "", NA, "$!?&%", "(?2@?~?'^*#|)", "{}[]:,;-_<>", "\\sadf\n\nv", "a b c"),
"Column.D" = c(pi, -pi, NA, sqrt(2), sqrt(0.3), -sqrt(pi), exp(1), log(2), sin(2), -tan(2)),
"Column.E" = c(TRUE, TRUE, NA, NA, FALSE, FALSE, TRUE, NA, FALSE, TRUE),
"Column.F" = c("High", "Medium", "Low", "Low", "Low", NA, NA, "Medium", "High", "High"),
"Column.G" = c("High", "Medium", NA, "Low", "Low", "Medium", NA, "Medium", "High", "High"),
"Column.H" = rep(c(as.Date("2021-10-30") , as.Date("2021-03-28"), NA), length = 10),
# NOTE: Column.I is automatically converted to POSIXct!!!
"Column.I" = rep(c(as.POSIXlt("2021-10-31 03:00:00"), as.POSIXlt(1582963631, origin="1970-01-01"), NA, as.POSIXlt("2001-12-31 23:59:59")), length = 10),
# NOTE: 1582963631 with origin="1970-01-01" corresponds to 2020 Feb 29
"Column.J" = rep(c(as.POSIXct("2021-10-31 03:00:00"), as.POSIXct(1582963631, origin="1970-01-01"), NA, as.POSIXct("2001-12-31 23:59:59")), length = 10),
stringsAsFactors = F
)
cdf[["Column.F"]] <- factor(cdf[["Column.F"]])
cdf[["Column.F"]] <- ordered(cdf[["Column.F"]], levels = c("Low", "Medium", "High"))
testDataFrame(cdf)
# Check that when being supplied with an object that is not coercable
# into a data.frame, an appropriate exception is thrown
checkException(XLConnect:::dataframeToJava(search))
# Check that exceptions are thrown when calling dataframeFromJava
# with inappropriate objects
checkException(XLConnect:::dataframeFromJava(NULL))
checkException(XLConnect:::dataframeFromJava(NA))
checkException(XLConnect:::dataframeFromJava(9))
checkException(XLConnect:::dataframeFromJava(search))
}
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