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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_cpi
library(testthat)
test_that("get_chile_cpi() returns a tibble with correct structure and types", {
skip_on_cran()
result <- get_chile_cpi()
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_cpi() returns data only for Chile", {
skip_on_cran()
result <- get_chile_cpi()
expect_true(all(result$country == "Chile"))
})
test_that("get_chile_cpi() returns correct indicator label", {
skip_on_cran()
result <- get_chile_cpi()
expect_true(all(result$indicator == "Consumer price index (2010 = 100)"))
})
test_that("get_chile_cpi() returns data for years 2010 to 2022", {
skip_on_cran()
result <- get_chile_cpi()
expect_true(all(result$year %in% 2010:2022))
expect_equal(sort(unique(result$year)), 2010:2022)
})
test_that("get_chile_cpi() returns exactly 13 rows (one per year 2010-2022)", {
skip_on_cran()
result <- get_chile_cpi()
expect_equal(nrow(result), 13)
})
test_that("get_chile_cpi() year column has no missing values", {
skip_on_cran()
result <- get_chile_cpi()
expect_false(any(is.na(result$year)))
})
test_that("get_chile_cpi() value column has no missing values and is numeric", {
skip_on_cran()
result <- get_chile_cpi()
expect_false(any(is.na(result$value)))
expect_true(is.numeric(result$value))
})
test_that("get_chile_cpi() years are sorted in descending order", {
skip_on_cran()
result <- get_chile_cpi()
expect_equal(result$year, sort(result$year, decreasing = TRUE))
})
test_that("get_chile_cpi() indicator and country columns have consistent values", {
skip_on_cran()
result <- get_chile_cpi()
expect_equal(length(unique(result$indicator)), 1)
expect_equal(length(unique(result$country)), 1)
})
test_that("get_chile_cpi() CPI values are positive and reasonable", {
skip_on_cran()
result <- get_chile_cpi()
expect_true(all(result$value > 0))
expect_true(all(result$value >= 50)) # Reasonable lower bound for CPI
expect_true(all(result$value <= 300)) # Reasonable upper bound for CPI
})
test_that("get_chile_cpi() base year 2010 has value of 100", {
skip_on_cran()
result <- get_chile_cpi()
base_year_value <- result$value[result$year == 2010]
expect_equal(base_year_value, 100)
})
test_that("get_chile_cpi() returns consistent structure", {
skip_on_cran()
result <- get_chile_cpi()
expect_false(is.null(result))
expect_s3_class(result, "data.frame")
expect_equal(length(names(result)), 4)
})
test_that("get_chile_cpi() values show expected trend (generally increasing)", {
skip_on_cran()
result <- get_chile_cpi()
# Sort by year ascending to check trend
result_sorted <- result[order(result$year), ]
# Check that the most recent value is higher than the base year value
expect_true(result_sorted$value[nrow(result_sorted)] > result_sorted$value[1])
# Check that values are generally non-decreasing (allowing for some fluctuations)
expect_true(max(result_sorted$value) >= min(result_sorted$value))
})
test_that("get_chile_cpi() contains no empty strings in text columns", {
skip_on_cran()
result <- get_chile_cpi()
expect_true(all(nchar(result$indicator) > 0))
expect_true(all(nchar(result$country) > 0))
})
test_that("get_chile_cpi() CPI values are within expected inflation range", {
skip_on_cran()
result <- get_chile_cpi()
# Sort by year to check progression
result_sorted <- result[order(result$year), ]
# Check that CPI values increase over time (inflation)
first_year <- result_sorted$value[1] # 2010
last_year <- result_sorted$value[nrow(result_sorted)] # 2022
expect_true(last_year > first_year)
})
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