# Copyright 2020 Observational Health Data Sciences and Informatics
#
# This file is part of CovCoagEmaPrediction
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
.createCohorts <- function(connection,
cdmDatabaseSchema,
vocabularyDatabaseSchema = cdmDatabaseSchema,
cohortDatabaseSchema,
cohortTable,
oracleTempSchema,
outputFolder,
cohortVariableSetting = NULL) {
# Create study cohort table structure:
sql <- SqlRender::loadRenderTranslateSql(sqlFilename = "CreateCohortTable.sql",
packageName = "CovCoagEmaPrediction",
dbms = attr(connection, "dbms"),
oracleTempSchema = oracleTempSchema,
cohort_database_schema = cohortDatabaseSchema,
cohort_table = cohortTable)
DatabaseConnector::executeSql(connection, sql, progressBar = FALSE, reportOverallTime = FALSE)
# Instantiate cohorts:
pathToCsv <- system.file("settings", "CohortsToCreate.csv", package = "CovCoagEmaPrediction")
cohortsToCreate <- utils::read.csv(pathToCsv)
for (i in 1:nrow(cohortsToCreate)) {
writeLines(paste("Creating cohort:", cohortsToCreate$name[i]))
sql <- SqlRender::loadRenderTranslateSql(sqlFilename = paste0(cohortsToCreate$name[i], ".sql"),
packageName = "CovCoagEmaPrediction",
dbms = attr(connection, "dbms"),
oracleTempSchema = oracleTempSchema,
cdm_database_schema = cdmDatabaseSchema,
vocabulary_database_schema = vocabularyDatabaseSchema,
target_database_schema = cohortDatabaseSchema,
target_cohort_table = cohortTable,
target_cohort_id = cohortsToCreate$cohortId[i])
DatabaseConnector::executeSql(connection, sql)
}
if(!is.null(cohortVariableSetting)){
# if custom cohort covaraites set:
pathToCustom <- system.file("settings", cohortVariableSetting, package = "CovCoagEmaPrediction")
if(!file.exists(pathToCustom)){
stop('cohortVariableSetting does not exist in package')
}
cohortVarsToCreate <- utils::read.csv(pathToCustom)
if(sum(colnames(cohortVarsToCreate)%in%c('atlasId', 'cohortName', 'startDay', 'endDay'))!=4){
stop('Issue with cohortVariableSetting - make sure it is NULL or a setting')
}
cohortVarsToCreate <- unique(cohortVarsToCreate[,c('atlasId', 'cohortName')])
for (i in 1:nrow(cohortVarsToCreate)) {
writeLines(paste("Creating cohort:", cohortVarsToCreate$cohortName[i]))
sql <- SqlRender::loadRenderTranslateSql(sqlFilename = paste0(cohortVarsToCreate$cohortName[i], ".sql"),
packageName = "CovCoagEmaPrediction",
dbms = attr(connection, "dbms"),
oracleTempSchema = oracleTempSchema,
cdm_database_schema = cdmDatabaseSchema,
vocabulary_database_schema = vocabularyDatabaseSchema,
target_database_schema = cohortDatabaseSchema,
target_cohort_table = cohortTable,
target_cohort_id = cohortVarsToCreate$atlasId[i])
DatabaseConnector::executeSql(connection, sql)
}
}
}
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