tests/testthat/test-merge-datapacks.R
In pepfar-datim/datapackr: A Package that Packs and Unpacks all Data Packs and Target Setting Tools
test_that("Testing can merge data packs...", {
# create first data pack ----
d1 <- list()
d1$info$datapack_name <- "Ehtiopia"
d1$info$tool <- "Data Pack"
d1$info$messages <- MessageQueue()
d1$info$has_error <- FALSE
# data elements
d1$datim$UndistributedMER <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "BYmlmGMcCWx", "HllvX50cXC0", 1.3,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "u88hOHhmLuF", "HllvX50cXC0", 1
)
d1$datim$prioritizations <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"r4zbW3owX9n", "2024Oct", "aBzwAKpuSwJ", "HllvX50cXC0", "HllvX50cXC0", 7,
"r4zbW3owX9n", "2024Oct", "aj1PTnemHwu", "HllvX50cXC0", "HllvX50cXC0", 7
)
d1$data$MER <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Female", "NA", 45,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Male", "NA", 45
)
d1$data$SUBNAT_IMPATT <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7
)
# tests
d1$tests$PSNUxIM_rounding_diffs <-
tibble::tribble(
~PSNU, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~PSNUxIM_value, ~DataPack_value, ~diff,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]", "HTS_INDEX_FAC", "25-29", "Female", NA, "Dl0y", 15, 14, 1
)
# empty invalid psnus
d1$tests$invalid_psnus <- character(0)
# add messages
lvl <- "ERROR"
msg <-
paste0(
lvl, "! In tab Prioritization",
": INVALID PRIORITIZATIONS: The following PSNUs have been assigned",
" invalid or blank prioritizations")
attr(d1$info$messages, "test_name") <- "Invalid prioritizations"
d1$info$messages <- appendMessage(d1$info$messages, msg, lvl)
d1$info$has_error <- TRUE
# create second data pack ----
d2 <- list()
d2$info$datapack_name <- "Ehtiopia"
d2$info$tool <- "Data Pack"
d2$info$messages <- MessageQueue()
d2$info$has_error <- FALSE
# data elements
d2$datim$UndistributedMER <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "BYmlmGMcCWx", "HllvX50cXC0", 1,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "u88hOHhmLuF", "HllvX50cXC0", 1
)
d2$datim$prioritizations <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"r4zbW3owX9n", "2024Oct", "aBzwAKpuSwJ", "HllvX50cXC0", "HllvX50cXC0", 7,
"r4zbW3owX9n", "2024Oct", "aj1PTnemHwu", "HllvX50cXC0", "HllvX50cXC0", 7
)
d2$data$MER <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Female", "NA", 45,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Male", "NA", 45
)
d2$data$SUBNAT_IMPATT <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7
)
# tests
d2$tests$PSNUxIM_rounding_diffs <-
tibble::tribble(
~PSNU, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~PSNUxIM_value, ~DataPack_value, ~diff,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]", "HTS_INDEX_FAC", "25-29", "Female", NA, "Dl0y", 15, 14, 1
)
d2$tests$invalid_mech_headers <-
tibble::tibble()
d2$info$messages <- datapackr::MessageQueue()
lvl <- "WARNING"
msg <-
paste0(
lvl,
"! In tab Cascade",
": DECIMAL VALUES found in the following columns that should have only")
attr(d2$info$messages, "test_name") <- "Decimal values"
d2$info$messages <- appendMessage(d2$info$messages, msg, lvl)
# testing ----
dp_merged <- mergeDatapack(d1, d2)
# test binding
expect_equal(NROW(dp_merged$datim$UndistributedMER), 4)
expect_equal(NROW(dp_merged$datim$prioritizations), 4)
expect_equal(NROW(dp_merged$data$MER), 4)
expect_equal(NROW(dp_merged$data$SUBNAT_IMPATT), 3)
expect_equal(NROW(dp_merged$tests$PSNUxIM_rounding_diffs), 2)
expect_true(
unique(names(dp_merged$tests) %in% c("PSNUxIM_rounding_diffs", "invalid_psnus", "invalid_mech_headers"))
)
expect_equal(NROW(dp_merged$info$messages), 2)
expect_true(all(dp_merged$messages$message$tool == "Data Pack"))
# test error out from different data pack
d2$info$datapack_name <- "Cameroon"
testthat::expect_error(mergeDatapack(d1, d2), "We cannot merge those two tools.")
})
test_that("Testing can merge a datapack with a PSNUxIM...", {
# create first data pack ----
d1 <- list()
d1$info$datapack_name <- "Ehtiopia"
d1$info$tool <- "Data Pack"
d1$info$messages <- MessageQueue()
d1$info$has_error <- FALSE
# data elements
d1$datim$UndistributedMER <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "BYmlmGMcCWx", "HllvX50cXC0", 1.3,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "u88hOHhmLuF", "HllvX50cXC0", 1
)
d1$datim$prioritizations <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"r4zbW3owX9n", "2024Oct", "aBzwAKpuSwJ", "HllvX50cXC0", "HllvX50cXC0", 7,
"r4zbW3owX9n", "2024Oct", "aj1PTnemHwu", "HllvX50cXC0", "HllvX50cXC0", 7
)
d1$data$MER <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Female", "NA", 45,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Male", "NA", 45
)
d1$data$SUBNAT_IMPATT <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7
)
# tests
d1$tests$PSNUxIM_rounding_diffs <-
tibble::tribble(
~PSNU, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~PSNUxIM_value, ~DataPack_value, ~diff,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]", "HTS_INDEX_FAC", "25-29", "Female", NA, "Dl0y", 15, 14, 1
)
# empty invalid psnus
d1$tests$invalid_psnus <- character(0)
# add messages
lvl <- "ERROR"
msg <-
paste0(
lvl, "! In tab Prioritization",
": INVALID PRIORITIZATIONS: The following PSNUs have been assigned",
" invalid or blank prioritizations")
attr(d1$info$messages, "test_name") <- "Invalid prioritizations"
d1$info$messages <- appendMessage(d1$info$messages, msg, lvl)
d1$info$has_error <- TRUE
#Create mock PSNUxIM
d2 <- list()
d2$info$datapack_name <- "Ehtiopia"
d2$info$tool <- "PSNUxIM"
d2$info$messages <- MessageQueue()
d2$info$has_error <- FALSE
d2$tests$psnuxim_missing_rs_fxs <- tibble::tribble(
~col, ~row, ~formula, ~col_letter,
4, 10, "=(B10*100)/C10", "D"
)
d2$data$SNUxIM <-
tibble::tribble(
~ PSNU,
~ indicator_code,
~ Age,
~ Sex,
~ KeyPop,
~ psnuid,
~ mech_code,
~ support_type,
~ value,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]",
"CXCA_SCRN.T",
"25-34",
"Female",
NA_character_,
"Dl0yK0OhftZ",
"12345",
"DSD",
3896
)
attr(d2$tests$psnuxim_missing_rs_fxs, "test_name") <- "Missing PSNUxIM R.S. Formulas"
warning_msg <-
paste0(
"WARNING! In tab PSNUxIM: MISSING FORMULAS ON RIGHT SIDE.",
" Make sure all formulas in the far right section of your PSNUxIM tab",
" (section titled 'Target Values') are completely copied to the bottom",
" of your data. The following columns are implicated. -> \n\t",
paste(sort(unique(d2$tests$psnuxim_missing_rs_fxs$col_letter)), collapse = ", "),
"\n")
d2$info$messages <- appendMessage(d2$info$messages, warning_msg, "WARNING")
# testing ----
dp_merged <- mergeDatapack(d1, d2)
# test binding
expect_equal(NROW(dp_merged$datim$UndistributedMER), 2)
expect_equal(NROW(dp_merged$datim$prioritizations), 2)
expect_equal(NROW(dp_merged$data$MER), 2)
expect_equal(NROW(dp_merged$data$SUBNAT_IMPATT), 2)
expect_equal(NROW(dp_merged$tests$PSNUxIM_rounding_diffs), 1)
expect_true(unique(
names(dp_merged$tests) %in% c(
"PSNUxIM_rounding_diffs",
"invalid_psnus",
"invalid_mech_headers",
"psnuxim_missing_rs_fxs"
)
))
expect_equal(NROW(dp_merged$info$messages), 2)
expect_setequal(dp_merged$info$messages$tool, c("Data Pack", "PSNUxIM"))
expect_setequal(dp_merged$info$messages$level, c("ERROR", "WARNING"))
})
pepfar-datim/datapackr documentation built on Jan. 14, 2025, 7:11 a.m.
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test_that("Testing can merge data packs...", {
# create first data pack ----
d1 <- list()
d1$info$datapack_name <- "Ehtiopia"
d1$info$tool <- "Data Pack"
d1$info$messages <- MessageQueue()
d1$info$has_error <- FALSE
# data elements
d1$datim$UndistributedMER <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "BYmlmGMcCWx", "HllvX50cXC0", 1.3,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "u88hOHhmLuF", "HllvX50cXC0", 1
)
d1$datim$prioritizations <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"r4zbW3owX9n", "2024Oct", "aBzwAKpuSwJ", "HllvX50cXC0", "HllvX50cXC0", 7,
"r4zbW3owX9n", "2024Oct", "aj1PTnemHwu", "HllvX50cXC0", "HllvX50cXC0", 7
)
d1$data$MER <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Female", "NA", 45,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Male", "NA", 45
)
d1$data$SUBNAT_IMPATT <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7
)
# tests
d1$tests$PSNUxIM_rounding_diffs <-
tibble::tribble(
~PSNU, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~PSNUxIM_value, ~DataPack_value, ~diff,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]", "HTS_INDEX_FAC", "25-29", "Female", NA, "Dl0y", 15, 14, 1
)
# empty invalid psnus
d1$tests$invalid_psnus <- character(0)
# add messages
lvl <- "ERROR"
msg <-
paste0(
lvl, "! In tab Prioritization",
": INVALID PRIORITIZATIONS: The following PSNUs have been assigned",
" invalid or blank prioritizations")
attr(d1$info$messages, "test_name") <- "Invalid prioritizations"
d1$info$messages <- appendMessage(d1$info$messages, msg, lvl)
d1$info$has_error <- TRUE
# create second data pack ----
d2 <- list()
d2$info$datapack_name <- "Ehtiopia"
d2$info$tool <- "Data Pack"
d2$info$messages <- MessageQueue()
d2$info$has_error <- FALSE
# data elements
d2$datim$UndistributedMER <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "BYmlmGMcCWx", "HllvX50cXC0", 1,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "u88hOHhmLuF", "HllvX50cXC0", 1
)
d2$datim$prioritizations <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"r4zbW3owX9n", "2024Oct", "aBzwAKpuSwJ", "HllvX50cXC0", "HllvX50cXC0", 7,
"r4zbW3owX9n", "2024Oct", "aj1PTnemHwu", "HllvX50cXC0", "HllvX50cXC0", 7
)
d2$data$MER <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Female", "NA", 45,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Male", "NA", 45
)
d2$data$SUBNAT_IMPATT <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7
)
# tests
d2$tests$PSNUxIM_rounding_diffs <-
tibble::tribble(
~PSNU, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~PSNUxIM_value, ~DataPack_value, ~diff,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]", "HTS_INDEX_FAC", "25-29", "Female", NA, "Dl0y", 15, 14, 1
)
d2$tests$invalid_mech_headers <-
tibble::tibble()
d2$info$messages <- datapackr::MessageQueue()
lvl <- "WARNING"
msg <-
paste0(
lvl,
"! In tab Cascade",
": DECIMAL VALUES found in the following columns that should have only")
attr(d2$info$messages, "test_name") <- "Decimal values"
d2$info$messages <- appendMessage(d2$info$messages, msg, lvl)
# testing ----
dp_merged <- mergeDatapack(d1, d2)
# test binding
expect_equal(NROW(dp_merged$datim$UndistributedMER), 4)
expect_equal(NROW(dp_merged$datim$prioritizations), 4)
expect_equal(NROW(dp_merged$data$MER), 4)
expect_equal(NROW(dp_merged$data$SUBNAT_IMPATT), 3)
expect_equal(NROW(dp_merged$tests$PSNUxIM_rounding_diffs), 2)
expect_true(
unique(names(dp_merged$tests) %in% c("PSNUxIM_rounding_diffs", "invalid_psnus", "invalid_mech_headers"))
)
expect_equal(NROW(dp_merged$info$messages), 2)
expect_true(all(dp_merged$messages$message$tool == "Data Pack"))
# test error out from different data pack
d2$info$datapack_name <- "Cameroon"
testthat::expect_error(mergeDatapack(d1, d2), "We cannot merge those two tools.")
})
test_that("Testing can merge a datapack with a PSNUxIM...", {
# create first data pack ----
d1 <- list()
d1$info$datapack_name <- "Ehtiopia"
d1$info$tool <- "Data Pack"
d1$info$messages <- MessageQueue()
d1$info$has_error <- FALSE
# data elements
d1$datim$UndistributedMER <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "BYmlmGMcCWx", "HllvX50cXC0", 1.3,
"agoURWZyPpn", "2024Oct", "ARBd3LRy8K3", "u88hOHhmLuF", "HllvX50cXC0", 1
)
d1$datim$prioritizations <-
tibble::tribble(
~dataElement, ~period, ~orgUnit, ~categoryOptionCombo, ~attributeOptionCombo, ~value,
"r4zbW3owX9n", "2024Oct", "aBzwAKpuSwJ", "HllvX50cXC0", "HllvX50cXC0", 7,
"r4zbW3owX9n", "2024Oct", "aj1PTnemHwu", "HllvX50cXC0", "HllvX50cXC0", 7
)
d1$data$MER <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Female", "NA", 45,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Cascade", "HTS_INDEX_FAC.New.Neg.T", "01-04", "Male", "NA", 45
)
d1$data$SUBNAT_IMPATT <-
tibble::tribble(
~PSNU, ~psnuid, ~sheet_name, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~value,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7,
"Abergele [#SNU] [CzLHEQJw9iM]", "CzLHEQJw9iM", "Prioritization", "IMPATT.PRIORITY_SNU.T", NA, NA, NA, 7
)
# tests
d1$tests$PSNUxIM_rounding_diffs <-
tibble::tribble(
~PSNU, ~indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~PSNUxIM_value, ~DataPack_value, ~diff,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]", "HTS_INDEX_FAC", "25-29", "Female", NA, "Dl0y", 15, 14, 1
)
# empty invalid psnus
d1$tests$invalid_psnus <- character(0)
# add messages
lvl <- "ERROR"
msg <-
paste0(
lvl, "! In tab Prioritization",
": INVALID PRIORITIZATIONS: The following PSNUs have been assigned",
" invalid or blank prioritizations")
attr(d1$info$messages, "test_name") <- "Invalid prioritizations"
d1$info$messages <- appendMessage(d1$info$messages, msg, lvl)
d1$info$has_error <- TRUE
#Create mock PSNUxIM
d2 <- list()
d2$info$datapack_name <- "Ehtiopia"
d2$info$tool <- "PSNUxIM"
d2$info$messages <- MessageQueue()
d2$info$has_error <- FALSE
d2$tests$psnuxim_missing_rs_fxs <- tibble::tribble(
~col, ~row, ~formula, ~col_letter,
4, 10, "=(B10*100)/C10", "D"
)
d2$data$SNUxIM <-
tibble::tribble(
~ PSNU,
~ indicator_code,
~ Age,
~ Sex,
~ KeyPop,
~ psnuid,
~ mech_code,
~ support_type,
~ value,
"Addis Ketema Woreda 1 [#SNU] [Dl0yK0OhftZ]",
"CXCA_SCRN.T",
"25-34",
"Female",
NA_character_,
"Dl0yK0OhftZ",
"12345",
"DSD",
3896
)
attr(d2$tests$psnuxim_missing_rs_fxs, "test_name") <- "Missing PSNUxIM R.S. Formulas"
warning_msg <-
paste0(
"WARNING! In tab PSNUxIM: MISSING FORMULAS ON RIGHT SIDE.",
" Make sure all formulas in the far right section of your PSNUxIM tab",
" (section titled 'Target Values') are completely copied to the bottom",
" of your data. The following columns are implicated. -> \n\t",
paste(sort(unique(d2$tests$psnuxim_missing_rs_fxs$col_letter)), collapse = ", "),
"\n")
d2$info$messages <- appendMessage(d2$info$messages, warning_msg, "WARNING")
# testing ----
dp_merged <- mergeDatapack(d1, d2)
# test binding
expect_equal(NROW(dp_merged$datim$UndistributedMER), 2)
expect_equal(NROW(dp_merged$datim$prioritizations), 2)
expect_equal(NROW(dp_merged$data$MER), 2)
expect_equal(NROW(dp_merged$data$SUBNAT_IMPATT), 2)
expect_equal(NROW(dp_merged$tests$PSNUxIM_rounding_diffs), 1)
expect_true(unique(
names(dp_merged$tests) %in% c(
"PSNUxIM_rounding_diffs",
"invalid_psnus",
"invalid_mech_headers",
"psnuxim_missing_rs_fxs"
)
))
expect_equal(NROW(dp_merged$info$messages), 2)
expect_setequal(dp_merged$info$messages$tool, c("Data Pack", "PSNUxIM"))
expect_setequal(dp_merged$info$messages$level, c("ERROR", "WARNING"))
})
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