# This file covers the code in GetCovariatesFromCohortAttributes.R. # NOTE: Functionality is described in detail in the following vignette: # http://ohdsi.github.io/FeatureExtraction/articles/CreatingCovariatesUsingCohortAttributes.html # # View coverage for this file using # library(testthat); library(FeatureExtraction) # covr::file_report(covr::file_coverage("R/GetCovariatesFromCohortAttributes.R", "tests/testthat/test-GetCovariatesFromCohortAttributes.R")) test_that("getDbCohortAttrCovariatesData aggregation not supported check", { skip_if_not(dbms == "sqlite") expect_error(getDbCohortAttrCovariatesData( connection = eunomiaConnection, cdmDatabaseSchema = eunomiaCdmDatabaseSchema, covariateSettings = createDefaultCovariateSettings(), aggregated = TRUE )) }) test_that("getDbCohortAttrCovariatesData CDM v4 not supported check", { skip_if_not(dbms == "sqlite") expect_error(getDbCohortAttrCovariatesData( connection = eunomiaConnection, cdmDatabaseSchema = eunomiaCdmDatabaseSchema, cdmVersion = "4", covariateSettings = createDefaultCovariateSettings() )) }) test_that("getDbCohortAttrCovariatesData hasIncludedAttributes == 0", { # TODO: This test is probably good to run on all DB platforms skip_if_not(dbms == "sqlite") covariateSettings <- createCohortAttrCovariateSettings( attrDatabaseSchema = eunomiaOhdsiDatabaseSchema, cohortAttrTable = cohortAttributeTable, attrDefinitionTable = attributeDefinitionTable, includeAttrIds = c(), isBinary = FALSE, missingMeansZero = FALSE ) result <- getDbCohortAttrCovariatesData( connection = eunomiaConnection, cdmDatabaseSchema = eunomiaCdmDatabaseSchema, cohortTable = cohortTable, covariateSettings = covariateSettings ) expect_equal(class(result), "CovariateData") }) test_that("getDbCohortAttrCovariatesData hasIncludedAttributes > 0", { # TODO: This test is probably good to run on all DB platforms skip_if_not(dbms == "sqlite") covariateSettings <- createCohortAttrCovariateSettings( attrDatabaseSchema = eunomiaOhdsiDatabaseSchema, cohortAttrTable = cohortAttributeTable, attrDefinitionTable = attributeDefinitionTable, includeAttrIds = c(1), isBinary = FALSE, missingMeansZero = TRUE ) result <- getDbCohortAttrCovariatesData( connection = eunomiaConnection, cdmDatabaseSchema = eunomiaCdmDatabaseSchema, cohortTable = cohortTable, covariateSettings = covariateSettings, cohortIds = c(1, 2) ) expect_equal(class(result), "CovariateData") }) test_that("createCohortAttrCovariateSettings check", { skip_if_not(dbms == "sqlite") result <- createCohortAttrCovariateSettings(attrDatabaseSchema = "main") expect_equal(class(result), "covariateSettings") }) test_that("getDbCohortAttrCovariatesData cohortId warning", { skip_if_not(dbms == "sqlite") covariateSettings <- createCohortAttrCovariateSettings( attrDatabaseSchema = eunomiaOhdsiDatabaseSchema, cohortAttrTable = cohortAttributeTable, attrDefinitionTable = attributeDefinitionTable, includeAttrIds = c(1), isBinary = FALSE, missingMeansZero = TRUE ) # cohortId argument expect_warning(getDbCohortAttrCovariatesData( connection = eunomiaConnection, cdmDatabaseSchema = eunomiaCdmDatabaseSchema, cohortTable = cohortTable, covariateSettings = covariateSettings, cohortId = 1 ), "cohortId argument has been deprecated, please use cohortIds") })