library(testthat) # runExtractionPerPerson ----------- runExtractionPerPerson <- function(connection, cdmDatabaseSchema, ohdsiDatabaseSchema, cohortTable) { settings <- createCovariateSettings( useDemographicsGender = TRUE, useDemographicsAge = TRUE, useDemographicsAgeGroup = TRUE, useDemographicsRace = TRUE, useDemographicsEthnicity = TRUE, useDemographicsIndexYear = TRUE, useDemographicsIndexMonth = TRUE, useDemographicsPriorObservationTime = TRUE, useDemographicsPostObservationTime = FALSE, useDemographicsTimeInCohort = FALSE, useDemographicsIndexYearMonth = TRUE, useCareSiteId = TRUE, useConditionOccurrenceAnyTimePrior = FALSE, useConditionOccurrenceLongTerm = FALSE, useConditionOccurrenceMediumTerm = FALSE, useConditionOccurrenceShortTerm = TRUE, useConditionOccurrencePrimaryInpatientAnyTimePrior = FALSE, useConditionOccurrencePrimaryInpatientLongTerm = FALSE, useConditionOccurrencePrimaryInpatientMediumTerm = FALSE, useConditionOccurrencePrimaryInpatientShortTerm = TRUE, useConditionEraAnyTimePrior = FALSE, useConditionEraLongTerm = FALSE, useConditionEraMediumTerm = FALSE, useConditionEraShortTerm = TRUE, useConditionEraOverlapping = FALSE, useConditionEraStartLongTerm = FALSE, useConditionEraStartMediumTerm = FALSE, useConditionEraStartShortTerm = TRUE, useConditionGroupEraAnyTimePrior = FALSE, useConditionGroupEraLongTerm = FALSE, useConditionGroupEraMediumTerm = FALSE, useConditionGroupEraShortTerm = TRUE, useConditionGroupEraOverlapping = FALSE, useConditionGroupEraStartLongTerm = FALSE, useConditionGroupEraStartMediumTerm = FALSE, useConditionGroupEraStartShortTerm = FALSE, useDrugExposureAnyTimePrior = FALSE, useDrugExposureLongTerm = FALSE, useDrugExposureMediumTerm = FALSE, useDrugExposureShortTerm = TRUE, useDrugEraAnyTimePrior = FALSE, useDrugEraLongTerm = FALSE, useDrugEraMediumTerm = FALSE, useDrugEraShortTerm = TRUE, useDrugEraOverlapping = FALSE, useDrugEraStartLongTerm = FALSE, useDrugEraStartMediumTerm = FALSE, useDrugEraStartShortTerm = TRUE, useDrugGroupEraAnyTimePrior = FALSE, useDrugGroupEraLongTerm = FALSE, useDrugGroupEraMediumTerm = FALSE, useDrugGroupEraShortTerm = TRUE, useDrugGroupEraOverlapping = FALSE, useDrugGroupEraStartLongTerm = FALSE, useDrugGroupEraStartMediumTerm = FALSE, useDrugGroupEraStartShortTerm = TRUE, useProcedureOccurrenceAnyTimePrior = FALSE, useProcedureOccurrenceLongTerm = FALSE, useProcedureOccurrenceMediumTerm = FALSE, useProcedureOccurrenceShortTerm = TRUE, useDeviceExposureAnyTimePrior = FALSE, useDeviceExposureLongTerm = FALSE, useDeviceExposureMediumTerm = FALSE, useDeviceExposureShortTerm = TRUE, useMeasurementAnyTimePrior = FALSE, useMeasurementLongTerm = FALSE, useMeasurementMediumTerm = FALSE, useMeasurementShortTerm = TRUE, useMeasurementValueAnyTimePrior = FALSE, useMeasurementValueLongTerm = FALSE, useMeasurementValueMediumTerm = FALSE, useMeasurementValueShortTerm = TRUE, useMeasurementRangeGroupAnyTimePrior = FALSE, useMeasurementRangeGroupLongTerm = FALSE, useMeasurementRangeGroupMediumTerm = FALSE, useMeasurementRangeGroupShortTerm = TRUE, useObservationAnyTimePrior = FALSE, useObservationLongTerm = FALSE, useObservationMediumTerm = FALSE, useObservationShortTerm = TRUE, useCharlsonIndex = TRUE, useDcsi = TRUE, useChads2 = TRUE, useChads2Vasc = TRUE, useHfrs = TRUE, useDistinctConditionCountLongTerm = FALSE, useDistinctConditionCountMediumTerm = FALSE, useDistinctConditionCountShortTerm = TRUE, useDistinctIngredientCountLongTerm = FALSE, useDistinctIngredientCountMediumTerm = FALSE, useDistinctIngredientCountShortTerm = TRUE, useDistinctProcedureCountLongTerm = FALSE, useDistinctProcedureCountMediumTerm = FALSE, useDistinctProcedureCountShortTerm = TRUE, useDistinctMeasurementCountLongTerm = FALSE, useDistinctMeasurementCountMediumTerm = FALSE, useDistinctMeasurementCountShortTerm = TRUE, useDistinctObservationCountLongTerm = FALSE, useDistinctObservationCountMediumTerm = FALSE, useDistinctObservationCountShortTerm = TRUE, useVisitCountLongTerm = FALSE, useVisitCountMediumTerm = FALSE, useVisitCountShortTerm = TRUE, useVisitConceptCountLongTerm = FALSE, useVisitConceptCountMediumTerm = FALSE, useVisitConceptCountShortTerm = TRUE, longTermStartDays = -365, mediumTermStartDays = -180, shortTermStartDays = -30, endDays = 0, includedCovariateConceptIds = c(), addDescendantsToInclude = FALSE, excludedCovariateConceptIds = c(), addDescendantsToExclude = FALSE, includedCovariateIds = c() ) suppressWarnings(covariateData <- getDbCovariateData( connection = connection, cdmDatabaseSchema = cdmDatabaseSchema, oracleTempSchema = ohdsiDatabaseSchema, cohortDatabaseSchema = ohdsiDatabaseSchema, cohortTable = cohortTable, cohortTableIsTemp = TRUE, cohortIds = c(1124300), rowIdField = "subject_id", covariateSettings = settings )) return(covariateData) } test_that("Run all analysis at per-person level on PostgreSQL", { skip_if_not(dbms == "postgresql") pgConnection <- createUnitTestData(pgConnectionDetails, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(pgConnection, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionPerPerson(pgConnection, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at per-person level on SQL Server", { skip_if_not(dbms == "sql server") sqlServerConnection <- createUnitTestData(sqlServerConnectionDetails, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(sqlServerConnection, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionPerPerson(sqlServerConnection, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at per-person level on Oracle", { skip_if_not(dbms == "oracle") oracleConnection <- createUnitTestData(oracleConnectionDetails, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(oracleConnection, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionPerPerson(oracleConnection, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at per-person level on Redshift", { skip_if_not(dbms == "redshift") redshiftConnection <- createUnitTestData(redshiftConnectionDetails, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(redshiftConnection, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionPerPerson(redshiftConnection, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at per-person level on Eunomia", { skip_if_not(dbms == "sqlite") covariateData <- runExtractionPerPerson(eunomiaConnection, eunomiaCdmDatabaseSchema, eunomiaOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) # runExtractionAggregated ----------- runExtractionAggregated <- function(connection, cdmDatabaseSchema, ohdsiDatabaseSchema, cohortTable) { settings <- createCovariateSettings( useDemographicsGender = TRUE, useDemographicsAge = TRUE, useDemographicsAgeGroup = TRUE, useDemographicsRace = TRUE, useDemographicsEthnicity = TRUE, useDemographicsIndexYear = TRUE, useDemographicsIndexMonth = TRUE, useDemographicsPriorObservationTime = TRUE, useDemographicsPostObservationTime = FALSE, useDemographicsTimeInCohort = FALSE, useDemographicsIndexYearMonth = TRUE, useCareSiteId = TRUE, useConditionOccurrenceAnyTimePrior = FALSE, useConditionOccurrenceLongTerm = FALSE, useConditionOccurrenceMediumTerm = FALSE, useConditionOccurrenceShortTerm = TRUE, useConditionOccurrencePrimaryInpatientAnyTimePrior = FALSE, useConditionOccurrencePrimaryInpatientLongTerm = FALSE, useConditionOccurrencePrimaryInpatientMediumTerm = FALSE, useConditionOccurrencePrimaryInpatientShortTerm = TRUE, useConditionEraAnyTimePrior = FALSE, useConditionEraLongTerm = FALSE, useConditionEraMediumTerm = FALSE, useConditionEraShortTerm = TRUE, useConditionEraOverlapping = FALSE, useConditionEraStartLongTerm = FALSE, useConditionEraStartMediumTerm = FALSE, useConditionEraStartShortTerm = TRUE, useConditionGroupEraAnyTimePrior = FALSE, useConditionGroupEraLongTerm = FALSE, useConditionGroupEraMediumTerm = FALSE, useConditionGroupEraShortTerm = TRUE, useConditionGroupEraOverlapping = FALSE, useConditionGroupEraStartLongTerm = FALSE, useConditionGroupEraStartMediumTerm = FALSE, useConditionGroupEraStartShortTerm = FALSE, useDrugExposureAnyTimePrior = FALSE, useDrugExposureLongTerm = FALSE, useDrugExposureMediumTerm = FALSE, useDrugExposureShortTerm = TRUE, useDrugEraAnyTimePrior = FALSE, useDrugEraLongTerm = FALSE, useDrugEraMediumTerm = FALSE, useDrugEraShortTerm = TRUE, useDrugEraOverlapping = FALSE, useDrugEraStartLongTerm = FALSE, useDrugEraStartMediumTerm = FALSE, useDrugEraStartShortTerm = TRUE, useDrugGroupEraAnyTimePrior = FALSE, useDrugGroupEraLongTerm = FALSE, useDrugGroupEraMediumTerm = FALSE, useDrugGroupEraShortTerm = TRUE, useDrugGroupEraOverlapping = FALSE, useDrugGroupEraStartLongTerm = FALSE, useDrugGroupEraStartMediumTerm = FALSE, useDrugGroupEraStartShortTerm = FALSE, useProcedureOccurrenceAnyTimePrior = FALSE, useProcedureOccurrenceLongTerm = FALSE, useProcedureOccurrenceMediumTerm = FALSE, useProcedureOccurrenceShortTerm = TRUE, useDeviceExposureAnyTimePrior = FALSE, useDeviceExposureLongTerm = FALSE, useDeviceExposureMediumTerm = FALSE, useDeviceExposureShortTerm = TRUE, useMeasurementAnyTimePrior = FALSE, useMeasurementLongTerm = FALSE, useMeasurementMediumTerm = FALSE, useMeasurementShortTerm = TRUE, useMeasurementValueAnyTimePrior = FALSE, useMeasurementValueLongTerm = FALSE, useMeasurementValueMediumTerm = FALSE, useMeasurementValueShortTerm = TRUE, useMeasurementRangeGroupAnyTimePrior = FALSE, useMeasurementRangeGroupLongTerm = FALSE, useMeasurementRangeGroupMediumTerm = FALSE, useMeasurementRangeGroupShortTerm = TRUE, useObservationAnyTimePrior = FALSE, useObservationLongTerm = FALSE, useObservationMediumTerm = FALSE, useObservationShortTerm = TRUE, useCharlsonIndex = TRUE, useDcsi = TRUE, useChads2 = TRUE, useChads2Vasc = TRUE, useHfrs = TRUE, useDistinctConditionCountLongTerm = FALSE, useDistinctConditionCountMediumTerm = FALSE, useDistinctConditionCountShortTerm = TRUE, useDistinctIngredientCountLongTerm = FALSE, useDistinctIngredientCountMediumTerm = FALSE, useDistinctIngredientCountShortTerm = TRUE, useDistinctProcedureCountLongTerm = FALSE, useDistinctProcedureCountMediumTerm = FALSE, useDistinctProcedureCountShortTerm = TRUE, useDistinctMeasurementCountLongTerm = FALSE, useDistinctMeasurementCountMediumTerm = FALSE, useDistinctMeasurementCountShortTerm = TRUE, useDistinctObservationCountLongTerm = FALSE, useDistinctObservationCountMediumTerm = FALSE, useDistinctObservationCountShortTerm = TRUE, useVisitCountLongTerm = FALSE, useVisitCountMediumTerm = FALSE, useVisitCountShortTerm = TRUE, useVisitConceptCountLongTerm = FALSE, useVisitConceptCountMediumTerm = FALSE, useVisitConceptCountShortTerm = TRUE, longTermStartDays = -365, mediumTermStartDays = -180, shortTermStartDays = -30, endDays = 0, includedCovariateConceptIds = c(), addDescendantsToInclude = FALSE, excludedCovariateConceptIds = c(), addDescendantsToExclude = FALSE, includedCovariateIds = c() ) suppressWarnings(covariateData <- getDbCovariateData( connection = connection, cdmDatabaseSchema = cdmDatabaseSchema, oracleTempSchema = ohdsiDatabaseSchema, cohortDatabaseSchema = ohdsiDatabaseSchema, cohortTable = cohortTable, cohortTableIsTemp = TRUE, cohortIds = c(1124300), rowIdField = "subject_id", covariateSettings = settings, aggregated = TRUE )) return(covariateData) } test_that("Run all analysis at aggregated level on PostgreSQL", { skip_if_not(dbms == "postgresql") pgConnection <- createUnitTestData(pgConnectionDetails, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(pgConnection, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionAggregated(pgConnection, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at aggregated level on SQL Server", { skip_if_not(dbms == "sql server") sqlServerConnection <- createUnitTestData(sqlServerConnectionDetails, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(sqlServerConnection, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionAggregated(sqlServerConnection, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at aggregated level on Oracle", { skip_if_not(dbms == "oracle") oracleConnection <- createUnitTestData(oracleConnectionDetails, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(oracleConnection, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionAggregated(oracleConnection, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at aggregated level on Redshift", { skip_if_not(dbms == "redshift") redshiftConnection <- createUnitTestData(redshiftConnectionDetails, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(redshiftConnection, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionAggregated(redshiftConnection, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all analysis at aggregated level on Eunomia", { skip_if_not(dbms == "sqlite") covariateData <- runExtractionAggregated(eunomiaConnection, eunomiaCdmDatabaseSchema, eunomiaOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) # runExtractionTemporalPerPerson ----------- runExtractionTemporalPerPerson <- function(connection, cdmDatabaseSchema, ohdsiDatabaseSchema, cohortTable) { settings <- createTemporalCovariateSettings( useDemographicsGender = TRUE, useDemographicsAge = TRUE, useDemographicsAgeGroup = TRUE, useDemographicsRace = TRUE, useDemographicsEthnicity = TRUE, useDemographicsIndexYear = TRUE, useDemographicsIndexMonth = TRUE, useDemographicsIndexYearMonth = TRUE, useDemographicsPriorObservationTime = TRUE, useDemographicsPostObservationTime = TRUE, useDemographicsTimeInCohort = TRUE, useCareSiteId = TRUE, useConditionOccurrence = TRUE, useConditionOccurrencePrimaryInpatient = TRUE, useConditionEraStart = TRUE, useConditionEraOverlap = TRUE, useConditionEraGroupStart = FALSE, useConditionEraGroupOverlap = FALSE, useDrugExposure = TRUE, useDrugEraStart = TRUE, useDrugEraOverlap = TRUE, useDrugEraGroupStart = FALSE, useDrugEraGroupOverlap = FALSE, useProcedureOccurrence = TRUE, useDeviceExposure = TRUE, useMeasurement = TRUE, useMeasurementValue = TRUE, useMeasurementRangeGroup = TRUE, useObservation = TRUE, useCharlsonIndex = TRUE, useDcsi = TRUE, useChads2 = TRUE, useChads2Vasc = TRUE, useHfrs = TRUE, useDistinctConditionCount = TRUE, useDistinctIngredientCount = TRUE, useDistinctProcedureCount = TRUE, useDistinctMeasurementCount = TRUE, useDistinctObservationCount = TRUE, useVisitCount = TRUE, useVisitConceptCount = TRUE, temporalStartDays = -365:-1, temporalEndDays = -365:-1, includedCovariateConceptIds = c(), addDescendantsToInclude = FALSE, excludedCovariateConceptIds = c(), addDescendantsToExclude = FALSE, includedCovariateIds = c() ) suppressWarnings(covariateData <- getDbCovariateData( connection = connection, cdmDatabaseSchema = cdmDatabaseSchema, oracleTempSchema = ohdsiDatabaseSchema, cohortDatabaseSchema = ohdsiDatabaseSchema, cohortTable = cohortTable, cohortTableIsTemp = TRUE, cohortIds = c(1124300), rowIdField = "subject_id", covariateSettings = settings )) return(covariateData) } test_that("Run all temporalanalysis at per-person level on PostgreSQL", { skip_if_not(dbms == "postgresql") pgConnection <- createUnitTestData(pgConnectionDetails, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(pgConnection, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalPerPerson(pgConnection, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at per-person level on SQL Server", { skip_if_not(dbms == "sql server") sqlServerConnection <- createUnitTestData(sqlServerConnectionDetails, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(sqlServerConnection, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalPerPerson(sqlServerConnection, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at per-person level on Oracle", { skip_if_not(dbms == "oracle") oracleConnection <- createUnitTestData(oracleConnectionDetails, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(oracleConnection, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalPerPerson(oracleConnection, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at per-person level on Redshift", { skip_if_not(dbms == "redshift") redshiftConnection <- createUnitTestData(redshiftConnectionDetails, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(redshiftConnection, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalPerPerson(redshiftConnection, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at per-person level on Eunomia", { skip_if_not(dbms == "sqlite") covariateData <- runExtractionTemporalPerPerson(eunomiaConnection, eunomiaCdmDatabaseSchema, eunomiaOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) # runExtractionTemporalPerPerson ----------- runExtractionTemporalAggregated <- function(connection, cdmDatabaseSchema, ohdsiDatabaseSchema, cohortTable) { settings <- createTemporalCovariateSettings( useDemographicsGender = TRUE, useDemographicsAge = TRUE, useDemographicsAgeGroup = TRUE, useDemographicsRace = TRUE, useDemographicsEthnicity = TRUE, useDemographicsIndexYear = TRUE, useDemographicsIndexMonth = TRUE, useDemographicsIndexYearMonth = TRUE, useDemographicsPriorObservationTime = TRUE, useDemographicsPostObservationTime = TRUE, useDemographicsTimeInCohort = TRUE, useCareSiteId = TRUE, useConditionOccurrence = TRUE, useConditionOccurrencePrimaryInpatient = TRUE, useConditionEraStart = TRUE, useConditionEraOverlap = TRUE, useConditionEraGroupStart = FALSE, useConditionEraGroupOverlap = FALSE, useDrugExposure = TRUE, useDrugEraStart = TRUE, useDrugEraOverlap = TRUE, useDrugEraGroupStart = FALSE, useDrugEraGroupOverlap = FALSE, useProcedureOccurrence = TRUE, useDeviceExposure = TRUE, useMeasurement = TRUE, useMeasurementValue = TRUE, useMeasurementRangeGroup = TRUE, useObservation = TRUE, useCharlsonIndex = TRUE, useDcsi = TRUE, useChads2 = TRUE, useChads2Vasc = TRUE, useHfrs = TRUE, useDistinctConditionCount = TRUE, useDistinctIngredientCount = TRUE, useDistinctProcedureCount = TRUE, useDistinctMeasurementCount = TRUE, useDistinctObservationCount = TRUE, useVisitCount = TRUE, useVisitConceptCount = TRUE, temporalStartDays = -365:-1, temporalEndDays = -365:-1, includedCovariateConceptIds = c(), addDescendantsToInclude = FALSE, excludedCovariateConceptIds = c(), addDescendantsToExclude = FALSE, includedCovariateIds = c() ) suppressWarnings(covariateData <- getDbCovariateData( connection = connection, cdmDatabaseSchema = cdmDatabaseSchema, oracleTempSchema = ohdsiDatabaseSchema, cohortDatabaseSchema = ohdsiDatabaseSchema, cohortTable = cohortTable, cohortTableIsTemp = TRUE, cohortIds = c(1124300), rowIdField = "subject_id", covariateSettings = settings, aggregated = TRUE )) return(covariateData) } test_that("Run all temporalanalysis at aggregated level on PostgreSQL", { skip_if_not(dbms == "postgresql") pgConnection <- createUnitTestData(pgConnectionDetails, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(pgConnection, pgOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalAggregated(pgConnection, pgCdmDatabaseSchema, pgOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at aggregated level on SQL Server", { skip_if_not(dbms == "sql server") sqlServerConnection <- createUnitTestData(sqlServerConnectionDetails, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(sqlServerConnection, sqlServerOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalAggregated(sqlServerConnection, sqlServerCdmDatabaseSchema, sqlServerOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at aggregated level on Oracle", { skip_if_not(dbms == "oracle") oracleConnection <- createUnitTestData(oracleConnectionDetails, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(oracleConnection, oracleOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalAggregated(oracleConnection, oracleCdmDatabaseSchema, oracleOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at aggregated level on Redshift", { skip_if_not(dbms == "redshift") redshiftConnection <- createUnitTestData(redshiftConnectionDetails, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable) on.exit(dropUnitTestData(redshiftConnection, redshiftOhdsiDatabaseSchema, cohortTable, cohortAttributeTable, attributeDefinitionTable)) covariateData <- runExtractionTemporalAggregated(redshiftConnection, redshiftCdmDatabaseSchema, redshiftOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) }) test_that("Run all temporalanalysis at aggregated level on Eunomia", { skip_if_not(dbms == "sqlite") covariateData <- runExtractionTemporalAggregated(eunomiaConnection, eunomiaCdmDatabaseSchema, eunomiaOhdsiDatabaseSchema, cohortTable) expect_true(is(covariateData, "CovariateData")) })