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# ChileDataAPI - Access Chilean Data via APIs and Curated Datasets
# Version 0.2.0
# Copyright (C) 2025 Renzo Caceres Rossi
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# get_chile_energy_use
library(testthat)
test_that("get_chile_energy_use() returns a tibble with correct structure and types", {
skip_on_cran()
result <- get_chile_energy_use()
expect_s3_class(result, "tbl_df")
expect_named(result, c("indicator", "country", "year", "value"))
expect_equal(ncol(result), 4)
expect_type(result$indicator, "character")
expect_type(result$country, "character")
expect_type(result$year, "integer")
expect_type(result$value, "double")
})
test_that("get_chile_energy_use() returns data only for Chile", {
skip_on_cran()
result <- get_chile_energy_use()
expect_true(all(result$country == "Chile"))
})
test_that("get_chile_energy_use() returns correct indicator label", {
skip_on_cran()
result <- get_chile_energy_use()
expect_true(all(result$indicator == "Energy use (kg of oil equivalent per capita)"))
})
test_that("get_chile_energy_use() returns data for years 2010 to 2022", {
skip_on_cran()
result <- get_chile_energy_use()
expect_true(all(result$year %in% 2010:2022))
expect_equal(sort(unique(result$year)), 2010:2022)
})
test_that("get_chile_energy_use() returns exactly 13 rows (one per year 2010-2022)", {
skip_on_cran()
result <- get_chile_energy_use()
expect_equal(nrow(result), 13)
})
test_that("get_chile_energy_use() year column has no missing values", {
skip_on_cran()
result <- get_chile_energy_use()
expect_false(any(is.na(result$year)))
})
test_that("get_chile_energy_use() value column has no missing values and is numeric", {
skip_on_cran()
result <- get_chile_energy_use()
expect_false(any(is.na(result$value)))
expect_true(is.numeric(result$value))
})
test_that("get_chile_energy_use() years are sorted in descending order", {
skip_on_cran()
result <- get_chile_energy_use()
expect_equal(result$year, sort(result$year, decreasing = TRUE))
})
test_that("get_chile_energy_use() indicator and country columns have consistent values", {
skip_on_cran()
result <- get_chile_energy_use()
expect_equal(length(unique(result$indicator)), 1)
expect_equal(length(unique(result$country)), 1)
})
test_that("get_chile_energy_use() energy values are positive and reasonable", {
skip_on_cran()
result <- get_chile_energy_use()
expect_true(all(result$value > 0))
expect_true(all(result$value >= 500)) # Reasonable lower bound for developed countries
expect_true(all(result$value <= 5000)) # Reasonable upper bound for Chile
})
test_that("get_chile_energy_use() returns consistent structure", {
skip_on_cran()
result <- get_chile_energy_use()
expect_false(is.null(result))
expect_s3_class(result, "data.frame")
expect_equal(length(names(result)), 4)
})
test_that("get_chile_energy_use() values are within expected range for Chile", {
skip_on_cran()
result <- get_chile_energy_use()
# Chile's energy use should be in the range typical for upper-middle income countries
expect_true(all(result$value >= 1500)) # Lower bound based on Chile's development
expect_true(all(result$value <= 2500)) # Upper bound based on Chile's profile
})
test_that("get_chile_energy_use() contains no empty strings in text columns", {
skip_on_cran()
result <- get_chile_energy_use()
expect_true(all(nchar(result$indicator) > 0))
expect_true(all(nchar(result$country) > 0))
})
test_that("get_chile_energy_use() values show reasonable variation over time", {
skip_on_cran()
result <- get_chile_energy_use()
# Check that there is some variation in energy use over the years
expect_true(max(result$value) > min(result$value))
# Check that variation is not extreme (within 50% range)
range_ratio <- max(result$value) / min(result$value)
expect_true(range_ratio <= 1.5) # Energy use shouldn't vary by more than 50%
})
test_that("get_chile_energy_use() all values are realistic for per capita energy use", {
skip_on_cran()
result <- get_chile_energy_use()
# All values should be positive and within realistic bounds
expect_true(all(is.finite(result$value)))
expect_true(all(result$value > 0))
# Check that values are not unrealistically high or low
expect_true(all(result$value >= 1000)) # Not too low for a developed country
expect_true(all(result$value <= 3000)) # Not too high compared to global standards
})
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