# Copyright 2022 Observational Health Data Sciences and Informatics
#
# This file is part of ConceptSetDiagnostics
#
# 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.
#
#' get concept id count
#'
#' @description
#' Get the count for an array of concept id(s) from concept prevalence table.
#'
#' @template Connection
#'
#' @template ConceptIds
#'
#' @template ConceptPrevalenceSchema
#'
#' @template TempEmulationSchema
#'
#' @return
#' Returns a tibble data frame.
#'
#' @export
getConceptPrevalenceCounts <- function(conceptIds,
connection = NULL,
connectionDetails = NULL,
conceptPrevalenceSchema,
tempEmulationSchema = getOption("sqlRenderTempEmulationSchema")) {
if (is.null(connection)) {
connection <- DatabaseConnector::connect(connectionDetails)
on.exit(DatabaseConnector::disconnect(connection))
}
conceptPrevalenceTables <-
DatabaseConnector::getTableNames(
connection = connection,
databaseSchema = conceptPrevalenceSchema
) %>%
tolower()
conceptPrevalenceTablesExist <- FALSE
if (all(
"recommender_set" %in% conceptPrevalenceTables,
"cp_master" %in% conceptPrevalenceTables,
"recommended_blacklist" %in% conceptPrevalenceTables
)) {
conceptPrevalenceTablesExist <- TRUE
}
if (!conceptPrevalenceTablesExist) {
stop(
"Concept Prevalence schema does not have the required concept prevalence tables. recommender_set, cp_master, recommended_blacklist"
)
}
tempTableName <- loadTempConceptTable(
conceptIds = conceptIds,
connection = connection,
tempEmulationSchema = tempEmulationSchema
)
sql <- "SELECT cp.*
FROM
@concept_prevalence_schema.cp_master cp
INNER JOIN
@concept_id_table t
ON cp.concept_id = t.concept_id;"
data <-
DatabaseConnector::renderTranslateQuerySql(
connection = connection,
concept_prevalence_schema = conceptPrevalenceSchema,
concept_id_table = tempTableName,
sql = sql,
snakeCaseToCamelCase = TRUE
) %>% dplyr::tibble()
dropTempConceptTable(
connection = connection,
tempTableName = tempTableName,
tempEmulationSchema = tempEmulationSchema
)
return(data)
}
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