source("libtest.R") test_that("mc_read_data csv without localities", { data <- mc_read_data("../data/TOMST/files_table2.csv", clean=FALSE) test_raw_data_format(data) expect_equal(length(data$localities), 3) expect_equal(length(data$localities$A6W79$loggers[[1]]$datetime), 49) expect_equal(data$localities$A6W79$metadata@tz_type, myClim:::.model_const_TZ_UTC) expect_equal(length(data$localities$A6W79$loggers[[1]]$sensors), 4) expect_equal(data$localities$A6W79$loggers[[1]]$sensors$TMS_T1$metadata@height, mc_data_heights$height[mc_data_heights$logger_type == .model_const_LOGGER_TOMST_TMS_L45 & mc_data_heights$sensor_name == mc_const_SENSOR_TMS_T1]) expect_equal(data$localities$A6W79$loggers[[1]]$metadata@type, .model_const_LOGGER_TOMST_TMS_L45) expect_equal(data$localities$A6W79$loggers[[1]]$metadata@serial_number, "94184102") expect_equal(data$localities$A6W79$loggers[[1]]$metadata@step, 15) expect_equal(data$localities$A2E32$loggers[[1]]$metadata@type, .model_const_LOGGER_TOMST_TMS) expect_equal(length(data$localities$A2E32$loggers[[1]]$datetime), 75) expect_equal(length(data$localities$A2E32$loggers[[1]]$sensors), 4) expect_equal(length(data$localities$A2E32$loggers[[1]]$sensors$TMS_T1), 4) expect_equal(length(data$localities$A1E05$loggers[[1]]$datetime), 11) expect_equal(length(data$localities$A1E05$loggers[[1]]$sensors), 1) expect_true(is.na(data$localities$A1E05$loggers[[1]]$metadata@step)) expect_true(is.na(data$localities$A1E05$metadata@elevation)) expect_equal(data$localities$A1E05$loggers[[1]]$sensors$Thermo_T$states$tag, myClim:::.model_const_SENSOR_STATE_SOURCE) expect_equal(data$localities$A1E05$loggers[[1]]$sensors$Thermo_T$states$start, dplyr::first(data$localities$A1E05$loggers[[1]]$datetime)) expect_equal(data$localities$A1E05$loggers[[1]]$sensors$Thermo_T$states$end, dplyr::last(data$localities$A1E05$loggers[[1]]$datetime)) expect_equal(data$localities$A1E05$loggers[[1]]$sensors$Thermo_T$states$value, normalizePath("../data/TOMST/data_91184101_0.csv")) expect_equal(data$localities$A1E05$loggers[[2]]$metadata@serial_number, "94230002") }) test_that("mc_read_data missed file", { table <- read.csv("../data/TOMST/files_table2.csv") expect_warning(data <- mc_read_data(table, clean=FALSE), "File data_94184103_0.csv does not exist - skipping.") %>% expect_warning("File data_91184101_0.csv does not exist - skipping.") %>% expect_warning("File data_94230002_2022_06_10_0.csv does not exist - skipping.") test_raw_data_format(data) expect_equal(length(data), 1) }) test_that("mc_read_data TOMST format datetime", { table <- data.frame(path= "../data/format/201911_93164272.csv", locality_id="AAA", data_format="TOMST", serial_number="93164272") data <- mc_read_data(table, clean=FALSE) test_raw_data_format(data) }) test_that("mc_read_data csv with localities", { data <- mc_read_data("../data/TOMST/files_table2.csv", "../data/TOMST/localities_table.csv", clean=FALSE) test_raw_data_format(data) expect_equal(data$localities$A1E05$metadata@elevation, 255) expect_equal(data$localities$A6W79$metadata@tz_type, myClim:::.model_const_TZ_USER_DEFINED) expect_equal(data$localities$A6W79$loggers[[1]]$metadata@type, .model_const_LOGGER_TOMST_TMS_L45) expect_equal(data$localities$A6W79$loggers[[1]]$sensors$TMS_T1_L45$metadata@height, mc_data_heights$height[mc_data_heights$logger_type == .model_const_LOGGER_TOMST_TMS_L45 & mc_data_heights$sensor_name == mc_const_SENSOR_TMS_T1]) }) test_that("mc_read_data csv with localities and metadata", { data <- mc_read_data("../data/TOMST/files_table.csv", "../data/TOMST2/localities_table_metadata.csv", clean=FALSE) test_raw_data_format(data) expect_true(is.na(data$localities$A1E05$metadata@elevation)) expect_equal(data$localities$A2E32$metadata@user_data$description, "") expect_equal(data$localities$A6W79$metadata@user_data$description, "most important") expect_equal(data$localities$A6W79$metadata@user_data$distance, 10) }) test_that("mc_read_files TOMST directory", { not_applicable_format_warning(data <- mc_read_files(c("../data/TOMST", "../data/eco-snow"), "TOMST", clean=FALSE)) %>% not_applicable_format_warning() %>% not_applicable_format_warning() test_raw_data_format(data) expect_equal(data$localities[[1]]$metadata@tz_type, myClim:::.model_const_TZ_UTC) expect_equal(length(data$localities), 6) expect_equal(length(data$localities[[1]]$loggers), 1) expect_equal(data$localities$`92192250`$loggers[[1]]$metadata@type, .model_const_LOGGER_TOMST_DENDROMETER) expect_equal(length(data$localities$`92192250`$loggers[[1]]$sensors), 2) }) test_that("mc_read_files HOBO", { data <- mc_read_files(c("../data/HOBO/20024354_comma.csv", "../data/HOBO/20024354_semicolon.txt", "../data/HOBO/20024354_tab.txt"), "HOBO", date_format = "%y.%m.%d %H:%M:%S", tz_offset = 120, clean=FALSE) test_raw_data_format(data) }) test_that("mc_read_data HOBO", { files_table <- as.data.frame(tibble::tribble( ~path, ~locality_id, ~data_format, ~serial_number, ~date_format, ~tz_offset, "../data/HOBO/20024354.txt", "A", "HOBO", NA_character_, "%d.%m.%Y %H:%M:%S", NA_integer_, "../data/HOBO/20024354_comma.csv", "B", "HOBO", NA_character_, "%y.%m.%d %H:%M:%S", NA_integer_, "../data/HOBO/20024354_fahrenheit.csv", "C", "HOBO", NA_character_, "%m.%d.%y %H:%M:%S", NA_integer_, "../data/HOBO/20024354_minimal.csv", "D", "HOBO", "20024356", "%y.%m.%d %H:%M:%S", 120, "../data/HOBO/20024354_minimal_title.csv", "E", "HOBO", "20024356", "%y.%m.%d %H:%M:%S", 120, "../data/HOBO/20024354_semicolon.txt", "F", "HOBO", NA_character_, "%y.%m.%d %H:%M:%S", NA_integer_, "../data/HOBO/20024354_separated_CEST.csv", "G", "HOBO", NA_character_, "%y.%m.%d", NA_integer_, "../data/HOBO/20024354_separeted.csv", "H", "HOBO", "20024356", "%y.%m.%d", NA_integer_, "../data/HOBO/20024354_tab.txt", "CH", "HOBO", NA_character_, "%y.%m.%d %H:%M:%S", NA_integer_, "../data/HOBO/6265.csv", "I", "HOBO", NA_character_, "%m/%d/%y %I:%M:%S %p", NA_integer_, "../data/HOBO/20024370.txt", "J", "HOBO", NA_character_, "%d.%m.%Y %H:%M:%S", NA_integer_, "../data/HOBO/2015_10382557.txt", "K", "HOBO", NA_character_, "%d.%m.%Y %H:%M:%S", NA_integer_, )) not_applicable_format_warning(data <- mc_read_data(files_table, clean=FALSE)) %>% not_applicable_format_warning() %>% expect_warning("Separated time in source data isn't supported.") %>% expect_warning("Temperature data in °F is converted to °C.") %>% expect_warning("Separated time in source data isn't supported.") test_raw_data_format(data) expect_equal(sort(names(data$localities)), sort(c("A", "B", "C", "D", "E", "F", "CH", "I", "J", "K"))) expect_true(var(c(data$localities$A$loggers[[1]]$datetime[[1]], data$localities$B$loggers[[1]]$datetime[[1]], data$localities$C$loggers[[1]]$datetime[[1]], data$localities$D$loggers[[1]]$datetime[[1]], data$localities$E$loggers[[1]]$datetime[[1]], data$localities$F$loggers[[1]]$datetime[[1]], data$localities$CH$loggers[[1]]$datetime[[1]])) == 0) expect_true(mc_const_SENSOR_HOBO_T %in% names(data$localities$C$loggers[[1]]$sensors)) expect_equal(data$localities$C$loggers[[1]]$sensors$HOBO_T$values[[1]], 5 * (65.788 - 32) / 9) expect_equal(length(data$localities$A$loggers[[1]]$sensors), 2) expect_equal(length(data$localities$I$loggers[[1]]$sensors), 1) cleaned_data <- mc_prep_clean(data, silent = T) clean_info <- mc_info_clean(cleaned_data) expect_true(all(clean_info$count_duplicities == 0)) expect_true(all(clean_info$count_missing == 0)) expect_true(dplyr::near(data$localities$J$loggers[[1]]$sensors$HOBO_T$values[[1]], 7.87)) expect_true(dplyr::near(data$localities$J$loggers[[1]]$sensors$HOBO_RH$values[[1]], 100.0)) expect_true(all(c(data$localities$A$loggers[[1]]$metadata@type, data$localities$B$loggers[[1]]$metadata@type, data$localities$C$loggers[[1]]$metadata@type, data$localities$D$loggers[[1]]$metadata@type, data$localities$E$loggers[[1]]$metadata@type, data$localities$F$loggers[[1]]$metadata@type, data$localities$CH$loggers[[1]]$metadata@type, data$localities$J$loggers[[1]]$metadata@type) == .model_const_LOGGER_HOBO_U23_001A)) expect_true(is.na(data$localities$I$loggers[[1]]$metadata@type)) expect_true(data$localities$K$loggers[[1]]$metadata@type == .model_const_LOGGER_HOBO_U23_004) expect_equal(length(data$localities$K$loggers[[1]]$sensors), 2) expect_true(mc_const_SENSOR_HOBO_EXTT %in% names(data$localities$K$loggers[[1]]$sensors)) expect_true(data$localities$K$loggers[[1]]$sensors$HOBO_T$metadata@height == "air 2 cm") }) test_that("mc_read_data HOBO skip wrong datetime", { files_table <- as.data.frame(tibble::tribble( ~path, ~locality_id, ~data_format, ~serial_number, ~date_format, ~tz_offset, "../data/HOBO/20024354.txt", "A", "HOBO", NA_character_, "%d.%m.%Y %H:%M:%S", NA_integer_, "../data/HOBO/20024354_comma.csv", "B", "HOBO", NA_character_, "%m.%d.%Y %H:%M:%S", NA_integer_ )) expect_warning(data <- mc_read_data(files_table, clean=FALSE)) %>% expect_warning() test_raw_data_format(data) expect_equal(length(data$localities), 1) }) test_that("mc_read_files error", { expect_error(data <- mc_read_files(c("../data/TOMST", "data/eco-snow/data_94184102_0.csv"), "TOMST", clean=FALSE)) }) test_that("mc_read_files TOMST comma in number", { data <- mc_read_files(c("../data/comma_TOMST/data_91212414_0.csv", "../data/comma_TOMST/data_94214606_0.csv"), "TOMST", clean=FALSE) expect_true(all(data$localities$`91212414`$loggers[[1]]$sensors$Thermo_T$values < 100)) expect_true(is.numeric(data$localities$`91212414`$loggers[[1]]$sensors$Thermo_T$values)) test_raw_data_format(data) }) test_that("mc_read_files TOMST with error in data", { expect_warning(data <- mc_read_files("../data/TOMST-error", "TOMST", clean=FALSE)) expect_true(is.na(data$localities$data_93142777$loggers[[1]]$sensors$TMS_T2$values[[7]])) states <- dplyr::filter(data$localities$data_93142777$loggers[[1]]$sensors$TMS_T2$states, .data$tag == .model_const_SENSOR_STATE_ERROR) expect_equal(nrow(states), 6) expect_equal(states$start, c(lubridate::ymd_hm("2022-02-24 06:00"), lubridate::ymd_hm("2022-02-24 07:15"), lubridate::ymd_hm("2022-02-24 09:00"), lubridate::ymd_hm("2022-02-24 09:45"), lubridate::ymd_hm("2022-02-24 10:15"), lubridate::ymd_hm("2022-02-24 11:15"))) expect_equal(states$end, c(lubridate::ymd_hm("2022-02-24 06:45"), lubridate::ymd_hm("2022-02-24 08:30"), lubridate::ymd_hm("2022-02-24 09:15"), lubridate::ymd_hm("2022-02-24 09:45"), lubridate::ymd_hm("2022-02-24 10:45"), lubridate::ymd_hm("2022-02-24 16:30"))) }) test_that("mc_read_files joined TOMST direcory", { data <- mc_read_files("../data/joined_TOMST", "TOMST_join", clean=FALSE, recursive=FALSE) test_raw_data_format(data) expect_equal(names(data$localities), c("202004_94199113", "202010_91183101", "A1E01_TS", "A1W14_TMS", "A4E53_TMS", "CKras_Loc_2_15", "CZ2_HRADEC_TMS", "CZ2_HRADEC_TS", "DP_0595")) expect_equal(names(data$localities$A1W14_TMS$loggers[[1]]$sensors), c("TMS_T1", "TMS_T2", "TMS_T3", "TMS_moist")) expect_equal(names(data$localities$CZ2_HRADEC_TMS$loggers[[1]]$sensors), c("TMS_T1", "TMS_T2", "TMS_T3", "TMS_moist", "VWC")) expect_equal(names(data$localities$CZ2_HRADEC_TS$loggers[[1]]$sensors), "Thermo_T") }) test_that("mc_read_files joined TOMST NA begin", { data <- mc_read_files("../data/joined_TOMST/problems/202110_91201320.csv", "TOMST_join", logger_type="Thermo", silent=TRUE) test_raw_data_format(data) expect_equal(data$localities$`202110_91201320`$loggers[[1]]$metadata@type, "Thermo") expect_equal(names(data$localities$`202110_91201320`$loggers[[1]]$sensors), "Thermo_T") }) test_that("mc_read_wide", { data_table <- readRDS("../data/read_table/precip.Rds") expect_error(data <- mc_read_wide(data_table, mc_const_SENSOR_precipitation, clean=FALSE)) dates <- data_table$date data_table$date <- as.POSIXct(lubridate::ymd(dates), tz="CET") expect_error(data <- mc_read_wide(data_table, mc_const_SENSOR_precipitation, clean=FALSE)) data_table$date <- as.POSIXct(lubridate::ymd(dates, tz="UTC")) data <- mc_read_wide(data_table, mc_const_SENSOR_precipitation, clean=FALSE) test_raw_data_format(data) expect_equal(length(data$localities), 49) expect_equal(names(data$localities$B1BLAT01$loggers[[1]]$sensors), mc_const_SENSOR_precipitation) expect_equal(data$localities$B1BLAT01$loggers[[1]]$sensors[[1]]$values[[1]], 0.7) }) test_that("mc_read_long", { data_table_precip <- readRDS("../data/read_table/precip.Rds")[1:10] data_table_precip <- tidyr::gather(data_table_precip, "locality_id", "value", -date) data_table_precip$sensor_name <- "precip" data_table_fresh_snow <- readRDS("../data/read_table/fresh_snow.Rds")[1:10] data_table_fresh_snow <- tidyr::gather(data_table_fresh_snow, "locality_id", "value", -date) data_table_fresh_snow$sensor_name <- "snow_fresh" data_table <- dplyr::union_all(data_table_precip, data_table_fresh_snow) data_table <- dplyr::rename(data_table, datetime=date) data_table <- dplyr::select(data_table, locality_id, sensor_name, datetime, value) data_table$datetime <- as.POSIXct(lubridate::ymd(data_table$datetime, tz="UTC")) data <- mc_read_long(data_table, list(precip="precipitation"), clean=FALSE) test_raw_data_format(data) expect_equal(length(data$localities), 9) }) test_that("mc_read_files TOMST serial_number", { expect_warning(data <- mc_read_files("../data/format/201911_93164272.csv", "TOMST", clean=FALSE)) expect_equal(names(data$localities), "201911_93164272") }) test_that("mc_read_files user_data_formats", { user_data_formats <- list(HOBO=new("mc_DataFormat")) expect_error(my_data <- mc_read_files("../data/user_data_formats/21498648.csv", "HOBO", clean=FALSE, user_data_formats=user_data_formats)) user_data_formats <- list(myHOBO=new("mc_DataFormat")) user_data_formats$myHOBO@skip <- 1 user_data_formats$myHOBO@separator <- "," user_data_formats$myHOBO@date_column <- 2 user_data_formats$myHOBO@date_format <- "%m/%d/%Y %H:%M:%S" user_data_formats$myHOBO@separator <- "," user_data_formats$myHOBO@tz_offset <- 2 * 60 user_data_formats$myHOBO@columns[[mc_const_SENSOR_T_C]] <- 3 user_data_formats$myHOBO@columns[[mc_const_SENSOR_RH]] <- 4 my_data <- mc_read_files("../data/user_data_formats/21498648.csv", "myHOBO", clean=FALSE, user_data_formats=user_data_formats) test_raw_data_format(my_data) expect_equal(length(my_data$localities$`21498648`$loggers[[1]]$sensors), 2) expect_equal(names(my_data$localities), "21498648") cleaned_data <- mc_prep_clean(my_data, silent = TRUE) expect_equal(dplyr::last(cleaned_data$localities$`21498648`$loggers[[1]]$sensors$T_C$values), 13) expect_equal(dplyr::last(cleaned_data$localities$`21498648`$loggers[[1]]$sensors$RH$values), 53) }) test_that("mc_read_files user_data_formats auto datetime", { files <- c("../data/user_data_formats/TMS94184102.csv", "../data/user_data_formats/TMS94184102_CET.csv") user_data_formats <- list(my_logger=new("mc_DataFormat")) user_data_formats$my_logger@date_column <- 2 user_data_formats$my_logger@tz_offset <- 0 user_data_formats$my_logger@columns[[mc_const_SENSOR_T_C]] <- c(3, 4, 5) user_data_formats$my_logger@columns[[mc_const_SENSOR_real]] <- 6 my_data <- mc_read_files(files, "my_logger", silent=TRUE, user_data_formats=user_data_formats) test_raw_data_format(my_data) expect_equal(length(my_data$localities$TMS94184102$loggers[[1]]$sensors), 4) expect_equal(names(my_data$localities$TMS94184102$loggers[[1]]$sensors), c("T_C1", "T_C2", "T_C3", "real")) }) test_that("mc_read_files TOMST custom date time format", { expect_error(expect_warning(expect_warning(data <- mc_read_files("../data/TOMST-date", "TOMST")))) data <- mc_read_files("../data/TOMST-date", "TOMST", date_format=c("%d.%m.%Y %H:%M:%S", "%d.%m.%Y"), silent=TRUE) test_raw_data_format(data) })