tests/testthat/test-A-01-basicTests.R

In cbailiss/pivottabler: Create Pivot Tables

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()"

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("BASIC TESTS")

scenarios <- testScenarios("bhmtrains basic pivot total", runAllForReleaseVersion=TRUE)
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")
    pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
    pt$evaluatePivot()
    # pt$renderPivot()
    # sum(pt$cells$asMatrix(), na.rm=TRUE)
    # prepStr(pt$print(asString=TRUE))
    str <- "                     Express Passenger  Ordinary Passenger  Total  \nArriva Trains Wales               3079                 830   3909  \nCrossCountry                     22865                  63  22928  \nLondon Midland                   14487               33792  48279  \nVirgin Trains                     8594                       8594  \nTotal                            49025               34685  83710  "

    expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 334840)
    expect_identical(pt$print(asCharacter=TRUE), str)
  })
}