context("Net Load")

sapply(studyPathS, function(studyPath){

  opts <- setSimulationPath(studyPath)

  describe("netLoad", {

    it("adds column 'netLoad' to the input data", {
      mydata <- readAntares("all", timeStep = "annual", showProgress = FALSE)
      cols <- names(copy(mydata))
      addNetLoad(mydata, ignoreMustRun = TRUE)
      expect_identical(c(cols, "netLoad"), names(mydata))
    })


    it("accepts 'antaresDataList' objects", {
      mydata <- readAntares(areas = "all", districts = "all", timeStep = "annual", showProgress = FALSE)
      addNetLoad(mydata, ignoreMustRun = TRUE)

      expect_is(mydata, "antaresDataList")
      expect_false(is.null(mydata$areas$netLoad))
      expect_false(is.null(mydata$districts$netLoad))
    })


    it("stops if input does not contain area or district data", {
      mydata <- readAntares(links="all", timeStep = "annual", showProgress = FALSE)
      expect_error(addNetLoad(mydata, ignoreMustRun = TRUE), "area")
    })



    it("stops if some necesary column is missing", {
      mydata <- readAntares(areas="all", timeStep = "annual", showProgress = FALSE, select = "LOAD")
      expect_error(addNetLoad(mydata, ignoreMustRun = TRUE), "missing")
    })


    it("stops mustRunTotal", {
      mydata <- readAntares(areas="all", timeStep = "annual", showProgress = FALSE)
      expect_error(addNetLoad(mydata, ignoreMustRun= FALSE), "Column 'mustRunTotal' is needed but missing. You can use argument 'ignoreMustRun=TRUE' if you do not want to take 'must run' production into account.")
    })

  })

})