context("Function scenarioBuilder") sapply(studies, function(study) { setup_study(study, sourcedir) opts <- antaresRead::setSimulationPath(studyPath, "input") original_scbuilder <- readScenarioBuilder(ruleset = "Default Ruleset", opts = opts, as_matrix = FALSE) test_that("scenarioBuilder works", { sbuilder <- scenarioBuilder( n_scenario = 2, n_mc = 2, areas = c("fr", "it", "be"), areas_rand = c("it", "be") ) sb <- structure( c("1", "rand", "rand", "2", "rand", "rand"), .Dim = 3:2, .Dimnames = list(c("fr", "it", "be"), NULL) ) expect_identical(sbuilder, sb) }) test_that("scenarioBuilder works when areas_rand has length 1", { sbuilder <- scenarioBuilder( n_scenario = 2, n_mc = 2, areas = c("fr", "it", "be"), areas_rand = "it" ) sb <- structure( c("1", "rand", "1", "2", "rand", "2"), .Dim = 3:2, .Dimnames = list(c("fr", "it", "be"), NULL) ) expect_identical(sbuilder, sb) }) test_that("Warning is thrown when n_mc differs from nbyears", { expect_warning(scenarioBuilder( n_scenario = 2, n_mc = 3, areas = c("fr", "it", "be"), areas_rand = "it" )) }) test_that("readScenarioBuilder works", { expect_identical( readScenarioBuilder(), list( l = structure( c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Dim = c(9L, 2L), .Dimnames = list( c("a", "a_offshore", "b", "c", "hub", "psp in", "psp in-2", "psp out", "psp out-2"), NULL) ), t = structure( c(1L, 1L, 1L, 1L, 1L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, 2L, 2L, 2L, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), .Dim = c(15L, 2L), .Dimnames = list( c("a_base", "a_base_must_run", "a_peak", "a_peak_must_run_partial", "a_semi base", "b_base", "b_peak", "b_semi base", "c_base", "c_peak", "c_semi base", "psp in-2_psp_in_2", "psp in_psp_in", "psp out-2_psp_out_2", "psp out_psp_out"), NULL ) ) ) ) expect_warning(readScenarioBuilder(ruleset = "fake ruleset name")) }) test_that("updateScenarioBuilder works", { m <- scenarioBuilder( n_scenario = 2, n_mc = 2, areas = c("a", "b", "c"), areas_rand = c("b", "c") ) m2 <- scenarioBuilder( n_scenario = 2, n_mc = 2, areas = c("a", "b", "c"), areas_rand = "c" ) expect_error(updateScenarioBuilder(ldata = m)) expect_error(updateScenarioBuilder(ldata = m, series = "h"), NA) updateScenarioBuilder(ldata = list(w = m, s = m2)) newSB <- readScenarioBuilder(as_matrix = TRUE) m <- m[m[, 1] != "rand", , drop = FALSE] m_out <- apply(m, 2, as.integer) # m_out <- as.list(m_out) # to match actual output of readScenarioBuilder() attributes(m_out) <- attributes(m) expect_identical(newSB[["w"]]["a", , drop = FALSE], m_out) m2 <- m2[m2[, 1] != "rand", , drop = FALSE] m2_out <- apply(m2, 2, as.integer) # m2_out <- as.list(m2_out) attributes(m2_out) <- attributes(m2) expect_identical(newSB[["s"]][c("a", "b"), , drop = FALSE], m2_out) }) test_that("clearScenarioBuilder works", { expect_true(clearScenarioBuilder()) expect_length(readScenarioBuilder(), 0L) }) test_that("deduplicateScenarioBuilder keeps only one value by key", { added_list <- list() final_sbuilder <- list() original_scbuilder_to_write <- list() ruleset <- "Default Ruleset" nb_new_values <- 10 pathSB <- file.path(opts$studyPath, "settings", "scenariobuilder.dat") original_scbuilder_to_write[[ruleset]] <- do.call("c", c(original_scbuilder, use.names = FALSE)) writeIni(listData = original_scbuilder_to_write, pathIni = pathSB, overwrite = TRUE, default_ext = ".dat") sbuilder <- readScenarioBuilder(ruleset = ruleset, opts = opts, as_matrix = FALSE) series <- names(sbuilder) serie <- series[1] sbuilder_ftype <- sbuilder[[serie]] fkey <- names(sbuilder_ftype)[1] for(i in seq(1,nb_new_values)){ added_list[i] <- i } names(added_list) <- rep(fkey,nb_new_values) sbuilder_ftype <- append(sbuilder_ftype, added_list) sbuilder[[serie]] <- sbuilder_ftype final_sbuilder[[ruleset]] <- do.call("c", c(sbuilder, use.names = FALSE)) writeIni(listData = final_sbuilder, pathIni = pathSB, overwrite = TRUE, default_ext = ".dat") dupSB <- readScenarioBuilder(ruleset = ruleset, opts = opts, as_matrix = FALSE) dupSB_serie <- dupSB[[serie]] freq_dupSB_serie <- as.data.frame(table(names(dupSB_serie))) nb_occur_dup_fkey <- freq_dupSB_serie[freq_dupSB_serie$Var1==fkey,"Freq"] deduplicateScenarioBuilder(ruleset = ruleset, opts = opts) dedupSB <- readScenarioBuilder(ruleset = ruleset, opts = opts, as_matrix = FALSE) dedupSB_serie <- dedupSB[[serie]] freq_dedupSB_serie <- as.data.frame(table(names(dedupSB_serie))) nb_occur_dedup_fkey <- freq_dedupSB_serie[freq_dedupSB_serie$Var1==fkey,"Freq"] expect_equal(nb_occur_dup_fkey-nb_new_values,1) }) test_that("deduplicateScenarioBuilder keeps the last value from a duplicated key", { added_list <- list() final_sbuilder <- list() original_scbuilder_to_write <- list() ruleset <- "Default Ruleset" fixed_value <- "123456789" nb_new_values <- 10 pathSB <- file.path(opts$studyPath, "settings", "scenariobuilder.dat") original_scbuilder_to_write[[ruleset]] <- do.call("c", c(original_scbuilder, use.names = FALSE)) writeIni(listData = original_scbuilder_to_write, pathIni = pathSB, overwrite = TRUE, default_ext = ".dat") sbuilder <- readScenarioBuilder(ruleset = ruleset, opts = opts, as_matrix = FALSE) series <- names(sbuilder) serie <- series[1] sbuilder_ftype <- sbuilder[[serie]] fkey <- names(sbuilder_ftype)[1] for(i in seq(1,nb_new_values)){ added_list[i] <- i } added_list[nb_new_values+1] <- fixed_value names(added_list) <- rep(fkey,nb_new_values+1) sbuilder_ftype <- append(sbuilder_ftype, added_list) sbuilder[[serie]] <- sbuilder_ftype final_sbuilder[[ruleset]] <- do.call("c", c(sbuilder, use.names = FALSE)) writeIni(listData = final_sbuilder, pathIni = pathSB, overwrite = TRUE, default_ext = ".dat") dupSB <- readScenarioBuilder(ruleset = ruleset, opts = opts, as_matrix = FALSE) dupSB_serie <- dupSB[[serie]] dupSB_fkey <- dupSB_serie[which(names(dupSB_serie)==fkey)] dupSB_fkey <- unlist(dupSB_fkey, use.names = FALSE) dupSB_fkey <- dupSB_fkey[length(dupSB_fkey)] deduplicateScenarioBuilder(ruleset = ruleset, opts = opts) dedupSB <- readScenarioBuilder(ruleset = ruleset, opts = opts, as_matrix = FALSE) dedupSB_serie <- dedupSB[[serie]] dedupSB_fkey <- dedupSB_serie[which(names(dedupSB_serie)==fkey)] dedupSB_fkey <- unlist(dedupSB_fkey, use.names = FALSE) dedupSB_fkey <- dedupSB_fkey[1] expect_equal(dupSB_fkey, dedupSB_fkey) expect_equal(dupSB_fkey, as.numeric(fixed_value)) }) # remove temporary study unlink(x = file.path(pathstd, "test_case"), recursive = TRUE) }) test_that("scenarioBuilder() for hl with inconsistent number of areas or hydro levels coefficients (error expected)", { ant_version <- "8.2.0" st_test <- paste0("my_study_820_", paste0(sample(letters,5),collapse = "")) suppressWarnings(opts <- createStudy(path = pathstd, study_name = st_test, antares_version = ant_version)) area <- "zone51" area2 <- "zone52" createArea(name = area, opts = opts) createArea(name = area2, opts = opts) suppressWarnings(opts <- setSimulationPath(opts$studyPath, simulation = "input")) updateGeneralSettings(nbyears = 10) suppressWarnings(opts <- setSimulationPath(opts$studyPath, simulation = "input")) # 1 area vs 2 coefs expect_error(scenarioBuilder(n_mc = opts$parameters$general$nbyears, areas = area, coef_hydro_levels = c(0.1, 0.2) ), regexp = "Please check the number of areas and the number of coefficients for hydro levels that you provided." ) # 2 areas vs 1 coef expect_error(scenarioBuilder(n_mc = opts$parameters$general$nbyears, areas = c(area,area2), coef_hydro_levels = c(0.1) ), regexp = "Please check the number of areas and the number of coefficients for hydro levels that you provided." ) unlink(x = opts$studyPath, recursive = TRUE) }) test_that("scenarioBuilder() for hl with right number of areas and hydro levels coefficients", { ant_version <- "8.2.0" st_test <- paste0("my_study_820_", paste0(sample(letters,5),collapse = "")) suppressWarnings(opts <- createStudy(path = pathstd, study_name = st_test, antares_version = ant_version)) area <- "zone51" area2 <- "zone52" createArea(name = area, opts = opts) createArea(name = area2, opts = opts) suppressWarnings(opts <- setSimulationPath(opts$studyPath, simulation = "input")) updateGeneralSettings(nbyears = 10) suppressWarnings(opts <- setSimulationPath(opts$studyPath, simulation = "input")) # number of areas * n_mc = number of coefs nbyears <- opts$parameters$general$nbyears my_area <- c(area, area2) my_coef <- c(runif(nbyears), runif(nbyears)) ldata <- scenarioBuilder(areas = my_area, coef_hydro_levels = my_coef, opts = opts ) expect_true(nrow(ldata) == length(my_area)) expect_true(identical(sort(rownames(ldata)),sort(my_area))) expect_true(identical(ldata[row.names(ldata) == area,], as.character(my_coef[seq(1,nbyears)]))) expect_true(identical(ldata[row.names(ldata) == area2,], as.character(my_coef[seq(nbyears + 1, length(my_coef))]))) # number of areas = number of coefs my_coef <- c(0.1, 0.2) my_area <- c(area, area2) ldata <- scenarioBuilder(areas = my_area, coef_hydro_levels = my_coef, opts = opts ) expect_true(nrow(ldata) == length(my_area)) expect_true(identical(sort(rownames(ldata)),sort(my_area))) expect_true(unique(ldata[row.names(ldata) == area,]) == as.character(my_coef[1])) expect_true(unique(ldata[row.names(ldata) == area2,]) == as.character(my_coef[2])) unlink(x = opts$studyPath, recursive = TRUE) }) test_that("updateScenarioBuilder() for hl with all values between 0 and 1", { ant_version <- "8.2.0" st_test <- paste0("my_study_820_", paste0(sample(letters,5),collapse = "")) suppressWarnings(opts <- createStudy(path = pathstd, study_name = st_test, antares_version = ant_version)) area <- "zone51" createArea(area) suppressWarnings(opts <- setSimulationPath(opts$studyPath, simulation = "input")) updateGeneralSettings(nbyears = 10) suppressWarnings(opts <- setSimulationPath(opts$studyPath, simulation = "input")) my_coef <- c(0.234, 0.567) ldata <- scenarioBuilder(n_scenario = 100, n_mc = opts$parameters$general$nbyears, areas = area, coef_hydro_levels = rep(my_coef, opts$parameters$general$nbyears/length(my_coef)) ) ruleset <- "Default Ruleset" updateScenarioBuilder(ldata = ldata, ruleset = ruleset, series = "hl", opts = opts ) newSB <- readScenarioBuilder(ruleset = ruleset, as_matrix = FALSE, opts = opts) expect_true("hl" %in% names(newSB)) values_newSB_hl <- unique(unlist(newSB[["hl"]], use.names = FALSE)) expect_true(length(setdiff(my_coef, values_newSB_hl)) == 0) expect_true(length(setdiff(values_newSB_hl, my_coef)) == 0) unlink(x = opts$studyPath, recursive = TRUE) })