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# infectiousR - Access Infectious and Epidemiological Data via 'disease.sh API'
# Version 0.1.0
# 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/>.
# view_datasets_infectiousR
library(testthat)
library(infectiousR)
test_that("view_datasets_infectiousR works when package is loaded", {
result <- view_datasets_infectiousR()
expect_type(result, "character")
expect_true(length(result) > 0)
})
test_that("view_datasets_infectiousR prints correct message", {
output <- capture_messages(view_datasets_infectiousR())
expect_match(
output[1],
"Datasets available in the 'infectiousR' package:",
fixed = TRUE
)
})
test_that("view_datasets_infectiousR returns expected datasets", {
datasets <- view_datasets_infectiousR()
expected_datasets <- c(
"flu_enrich_df",
"influenza_pneumonia_ts",
"influenza_vax_survey_df",
"campy_infections_ts",
"ecoli_infections_df",
"influenza_infections_df",
"measles_infections_df",
"ehec_infections_df",
"covid_mortality_df",
"covid_severity_df",
"us_covid_cases_df",
"contagious_diseases_df",
"measles_survey_df",
"rubella_peru_df",
"influenza_ice_df",
"gonorrhea_ma_df",
"diphtheria_philly_df",
"malaria_mice_df",
"active_hepatitis_df",
"hepatitisA_df",
"rubella_austria_df",
"china_dengue_tbl_df",
"india_dengue_tbl_df",
"korea_dengue_tbl_df",
"zika_girardot_df",
"zika_sanandres_df",
"sars_canada_df",
"smallpox_nigeria_df",
"ebola_survey_tbl_df",
"ebola_cases_df",
"ebola_sleone_df",
"streptomycin_tbl_df",
"bcg_vaccine_df",
"meningitis_df",
"aids_azt_df",
"fungal_infections_df",
"covid_new_york_df",
"spanish_flu_df"
)
# Check if all expected datasets are present
missing_datasets <- setdiff(expected_datasets, datasets)
expect_true(
length(missing_datasets) == 0,
info = paste("Missing datasets:", paste(missing_datasets, collapse = ", "))
)
})
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