library(testthat)
# most common expectations:
# equality: expect_equal() and expect_identical()
# regexp: expect_match()
# catch-all: expect_true() and expect_false()
# console output: expect_output()
# messages: expect_message()
# warning: expect_warning()
# errors: expect_error()
escapeString <- function(s) {
t <- gsub("(\\\\)", "\\\\\\\\", s)
t <- gsub("(\n)", "\\\\n", t)
t <- gsub("(\r)", "\\\\r", t)
t <- gsub("(\")", "\\\\\"", t)
return(t)
}
prepStr <- function(s) {
t <- escapeString(s)
u <- eval(parse(text=paste0("\"", t, "\"")))
if(s!=u) stop("Unable to escape string!")
t <- paste0("\thtml <- \"", t, "\"")
utils::writeClipboard(t)
return(invisible())
}
evaluationMode <- "sequential"
processingLibrary <- "dplyr"
description <- "test: sequential dplyr"
countFunction <- "n()"
isDevelopmentVersion <- (length(strsplit(packageDescription("pivottabler")$Version, "\\.")[[1]]) > 3)
testScenarios <- function(description="test", releaseEvaluationMode="batch", releaseProcessingLibrary="dplyr", runAllForReleaseVersion=FALSE) {
isDevelopmentVersion <- (length(strsplit(packageDescription("pivottabler")$Version, "\\.")[[1]]) > 3)
if(isDevelopmentVersion||runAllForReleaseVersion) {
evaluationModes <- c("sequential", "batch")
processingLibraries <- c("dplyr", "data.table")
}
else {
evaluationModes <- releaseEvaluationMode
processingLibraries <- releaseProcessingLibrary
}
testCount <- length(evaluationModes)*length(processingLibraries)
c1 <- character(testCount)
c2 <- character(testCount)
c3 <- character(testCount)
c4 <- character(testCount)
testCount <- 0
for(evaluationMode in evaluationModes)
for(processingLibrary in processingLibraries) {
testCount <- testCount + 1
c1[testCount] <- evaluationMode
c2[testCount] <- processingLibrary
c3[testCount] <- paste0(description, ": ", evaluationMode, " ", processingLibrary)
c4[testCount] <- ifelse(processingLibrary=="data.table", ".N", "n()")
}
df <- data.frame(evaluationMode=c1, processingLibrary=c2, description=c3, countFunction=c4, stringsAsFactors=FALSE)
return(df)
}
context("SMOKE TESTS")
scenarios <- testScenarios("smoke tests: bhmtrains basic pivot")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# cat(paste(as.vector(pt$cells$asMatrix()), sep=", ", collapse=", "))
# prepStr(as.character(pt$getHtml()))
res <- c(3079, 22865, 14487, 8594, 49025, 830, 63, 33792, NA, 34685, 3909, 22928, 48279, 8594, 83710)
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n | 14487 | \n 33792 | \n 48279 | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(pt$cells$asMatrix(), matrix(res, nrow=5))
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("smoke tests: bhmtrains basic pivot two levels")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# cat(paste(as.vector(pt$cells$asMatrix()), sep=", ", collapse=", "))
# prepStr(as.character(pt$getHtml()))
res <- c(3079, 22133, 5638, 2137, 32987, NA, NA, 8849, 6457, 15306, NA, 732, NA, NA, 732, 3079, 22865, 14487, 8594, 49025, 830, 63, 5591, NA, 6484, NA, NA, 28201, NA, 28201, 830, 63, 33792, NA, 34685, 3909, 22928, 48279, 8594, 83710)
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(pt$cells$asMatrix(), matrix(res, nrow=5))
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("smoke tests: bhmtrains basic pivot two levels expanded")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
skip_on_cran()
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType", expandExistingTotals=TRUE)
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# cat(paste(as.vector(pt$cells$asMatrix()), sep=", ", collapse=", "))
# prepStr(as.character(pt$getHtml()))
res <- c(3079, 22133, 5638, 2137, 32987, NA, NA, 8849, 6457, 15306, NA, 732, NA, NA, 732, 3079, 22865, 14487, 8594, 49025, 830, 63, 5591, NA, 6484, NA, NA, 28201, NA, 28201, 830, 63, 33792, NA, 34685, 3909, 22196, 11229, 2137, 39471, NA, NA, 37050, 6457, 43507, NA, 732, NA, NA, 732, 3909, 22928, 48279, 8594, 83710)
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n DMU | \n EMU | \n HST | \n Total | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n | \n | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22196 | \n | \n 732 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 11229 | \n 37050 | \n | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 2137 | \n 6457 | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 39471 | \n 43507 | \n 732 | \n 83710 | \n
\n
"
expect_equal(pt$cells$asMatrix(), matrix(res, nrow=5))
expect_identical(as.character(pt$getHtml()), html)
})
}
if (requireNamespace("lubridate", quietly = TRUE)) {
scenarios <- testScenarios("smoke tests: calculation filters")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(dplyr)
library(lubridate)
library(pivottabler)
# get the date of each train and whether that date is a weekday or weekend
trains <- bhmtrains %>%
mutate(GbttDateTime=if_else(is.na(GbttArrival), GbttDeparture, GbttArrival),
DayNumber=wday(GbttDateTime),
WeekdayOrWeekend=ifelse(DayNumber %in% c(1,7), "Weekend", "Weekday"))
# render the pivot table
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE))
pt$addData(trains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC")
weekendFilter <- PivotFilters$new(pt, variableName="WeekdayOrWeekend", values="Weekend")
pt$defineCalculation(calculationName="WeekendTrains", summariseExpression=countFunction,
filters=weekendFilter, visible=FALSE)
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction, visible=FALSE)
pt$defineCalculation(calculationName="WeekendTrainsPercentage",
type="calculation", basedOn=c("WeekendTrains", "TotalTrains"),
format="%.1f %%",
calculationExpression="values$WeekendTrains/values$TotalTrains*100")
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# cat(paste(as.vector(pt$cells$asMatrix()), sep=", ", collapse=", "))
# prepStr(as.character(pt$getHtml()))
res <- c(26.6320233842157, 23.7480865952329, 18.7892593359564, 24.4240167558762, 22.5823559408465, 17.710843373494, NA, 22.8693181818182, NA, 22.7043390514632, 24.7377845996419, 23.6828332170272, 21.6450216450216, 24.4240167558762, 22.6328992951858)
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | 26.6 % | \n 17.7 % | \n 24.7 % | \n
\n \n \n | 23.7 % | \n | \n 23.7 % | \n
\n \n \n | 18.8 % | \n 22.9 % | \n 21.6 % | \n
\n \n \n | 24.4 % | \n | \n 24.4 % | \n
\n \n \n | 22.6 % | \n 22.7 % | \n 22.6 % | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 296.5828)
expect_equal(pt$cells$asMatrix(), matrix(res, nrow=5))
expect_identical(as.character(pt$getHtml()), html)
})
}
}
scenarios <- testScenarios("smoke tests: ignoring parent groups")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType", onlyCombinationsThatExist=FALSE)
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n HST | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("smoke tests: contradictory filters")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TrainCategory")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | 49025 | \n | \n 49025 | \n
\n \n \n | \n 34685 | \n 34685 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 334840)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("smoke tests: outline layout")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC",
outlineBefore=list(groupStyleDeclarations=list(color="blue")),
outlineAfter=list(isEmpty=FALSE,
mergeSpace="dataGroupsOnly",
caption="Total ({value})",
groupStyleDeclarations=list("font-style"="italic")),
outlineTotal=list(groupStyleDeclarations=list(color="blue"),
cellStyleDeclarations=list("color"="blue")))
pt$addRowDataGroups("PowerType", addTotal=FALSE)
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getCss()))
# prepStr(as.character(pt$getHtml()))
css <- ".Table {display: table; border-collapse: collapse; }\r\n.ColumnHeader {font-family: Arial; font-size: 0.75em; border: 1px solid lightgray; vertical-align: middle; font-weight: bold; background-color: #F2F2F2; padding: 2px; text-align: center; }\r\n.RowHeader {font-family: Arial; font-size: 0.75em; border: 1px solid lightgray; vertical-align: middle; font-weight: bold; background-color: #F2F2F2; padding: 2px 8px 2px 2px; text-align: left; }\r\n.Cell {font-family: Arial; font-size: 0.75em; padding: 2px 2px 2px 8px; border: 1px solid lightgray; vertical-align: middle; text-align: right; }\r\n.OutlineColumnHeader {font-family: Arial; font-size: 0.75em; border: 1px solid lightgray; vertical-align: middle; font-weight: bold; background-color: #F2F2F2; padding: 2px; text-align: center; }\r\n.OutlineRowHeader {font-family: Arial; font-size: 0.75em; border: 1px solid lightgray; vertical-align: middle; font-weight: bold; background-color: #F2F2F2; padding: 2px 8px 2px 2px; text-align: left; }\r\n.OutlineCell {font-family: Arial; font-size: 0.75em; padding: 2px 2px 2px 8px; border: 1px solid lightgray; vertical-align: middle; text-align: right; background-color: #F8F8F8; font-weight: bold; }\r\n.Total {font-family: Arial; font-size: 0.75em; padding: 2px 2px 2px 8px; border: 1px solid lightgray; vertical-align: middle; text-align: right; }\r\n"
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | | \n
\n \n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | | \n
\n \n \n \n | 22133 | \n 63 | \n 22196 | \n
\n \n \n | 732 | \n | \n 732 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n | | \n
\n \n \n \n | 5638 | \n 5591 | \n 11229 | \n
\n \n \n | 8849 | \n 28201 | \n 37050 | \n
\n \n \n | 14487 | \n 33792 | \n 48279 | \n
\n \n \n | | \n
\n \n \n \n | 2137 | \n | \n 2137 | \n
\n \n \n | 6457 | \n | \n 6457 | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getCss()), css)
expect_identical(as.character(pt$getHtml()), html)
})
}