Nothing
# Copyright 2025 DARWIN EU®
#
# Test generateCohortSet on a local (collected) CDM: create gibleed CDM from
# Eunomia, collect it, then run cohort generation with example cohorts.
# Local CDMs use the internal generateCohortSetLocal (in-memory DuckDB).
test_that("generateCohortSet works on local CDM (gibleed from Eunomia, collected)", {
skip_on_cran()
skip_if_not_installed("CirceR")
skip_if_not_installed("duckdb")
skip_if_not(eunomiaIsAvailable())
# Create CDM from Eunomia (contains gibleed-relevant data, concept 192671)
con <- local_eunomia_con()
cdm <- cdmFromCon(
con = con,
cdmName = "gibleed",
cdmSchema = "main",
writeSchema = "main"
)
# Collect CDM into R (local in-memory CDM)
cdm_local <- dplyr::collect(cdm)
# Use example cohorts from the package (gibleed cohorts)
cohort_set <- readCohortSet(
system.file("example_cohorts", package = "CDMConnector", mustWork = TRUE)
)
expect_gt(nrow(cohort_set), 0)
expect_s3_class(cohort_set, "CohortSet")
# Generate cohort set on the local CDM (uses in-memory DuckDB internally)
cdm_local <- CDMConnector:::generateCohortSetLocal(
cdm = cdm_local,
cohortSet = cohort_set,
name = "gibleed",
computeAttrition = TRUE,
overwrite = TRUE
)
expect_true("gibleed" %in% names(cdm_local))
expect_true(methods::is(cdm_local$gibleed, "cohort_table"))
cohort_df <- dplyr::collect(cdm_local$gibleed)
expect_s3_class(cohort_df, "data.frame")
expect_true(all(c(
"cohort_definition_id", "subject_id",
"cohort_start_date", "cohort_end_date"
) %in% colnames(cohort_df)))
expect_gt(nrow(cohort_df), 0)
counts <- cohortCount(cdm_local$gibleed)
expect_s3_class(counts, "data.frame")
expect_equal(nrow(counts), nrow(cohort_set))
settings_df <- settings(cdm_local$gibleed)
expect_s3_class(settings_df, "data.frame")
expect_true("cohort_definition_id" %in% colnames(settings_df))
})
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