feat: Apache POI gradle 의존성 및 행정안전부 인구현황 파일 전처리 유틸 클래스 추가

build.gradle.kts

@@ -79,6 +79,9 @@ dependencies {
     // RestAssured
     testImplementation("io.rest-assured:rest-assured:5.5.5")
     testImplementation("io.rest-assured:kotlin-extensions:5.5.5")
+
+    // etc
+    implementation("org.apache.poi:poi-ooxml:5.2.3")
 }
 
 tasks.withType<Test> {

src/test/kotlin/roomescape/data/DataParser.kt

@@ -0,0 +1,90 @@
+package roomescape.data
+
+import io.kotest.core.spec.style.StringSpec
+import org.apache.poi.xssf.usermodel.XSSFWorkbook
+import java.io.File
+
+class PopulationDataSqlParser() : StringSpec({
+
+    val regionCodePattern = Regex("^[0-9]{10}$")
+    val minPopulation = 250_000
+
+    "인구 데이터를 이용하여 지역 정보 SQL 파일로 변환하고, 추가로 $minPopulation 이상의 시/군/구는 매장 데이터 생성을 위해 따로 분류한다." {
+        val populationXlsx = XSSFWorkbook(File("data/population.xlsx"))
+        val sheet = populationXlsx.getSheetAt(0)
+        val allRegion = mutableListOf<List<String>>()
+        val regionsMoreThanMinPopulation = mutableListOf<List<String?>>()
+
+        sheet.rowIterator().forEach { row ->
+            val regionCode = row.getCell(0)?.stringCellValue ?: return@forEach
+
+            if (regionCodePattern.matches(regionCode).not()) {
+                return@forEach
+            }
+            val sidoCode = regionCode.substring(0, 2)
+            val sigunguCode = regionCode.substring(2, 5)
+
+            val population = row.getCell(2).stringCellValue.replace(",", "")
+            if (Regex("^[0-9]+$").matches(population).not()) {
+                return@forEach
+            }
+
+            val regionName = row.getCell(1).stringCellValue
+
+            if (!regionName.trim().contains(" ")) {
+                return@forEach
+            }
+            val parts = regionName.split(" ")
+
+            val sidoName = parts[0].trim()
+            val sigunguName = parts[1].trim()
+            val guName = if (parts.size > 2) parts[2].trim() else ""
+
+            val populationInt = population.toInt()
+
+            if (populationInt <= 0) {
+                return@forEach
+            }
+
+            if (populationInt > minPopulation) {
+                regionsMoreThanMinPopulation.add(listOf(
+                        regionCode,
+                        sidoCode,
+                        sigunguCode,
+                        sidoName,
+                        sigunguName,
+                        guName,
+                        population
+                    )
+                )
+
+            }
+            allRegion.add(listOf(regionCode, sidoCode, sigunguCode, sidoName, sigunguName))
+        }
+
+        regionsMoreThanMinPopulation.filter {
+            val sigunguName = it[4]
+            val sameSigungu = regionsMoreThanMinPopulation.filter { r -> r[4] == sigunguName }
+            !((sameSigungu.size > 1) && (it[5].isNullOrBlank()))
+        }.mapIndexed { idx, values ->
+            val guName = if (values[5].isNullOrBlank()) "NULL" else "'${values[5]}'"
+            "${values[0]}, ${values[1]}, ${values[2]}, ${values[3]}, ${values[4]}, $guName, ${values[6]}"
+        }.joinToString(separator = "\n").also {
+            File("data/region_population.txt").writeText(it)
+        }
+
+        allRegion.distinctBy { it[1] to it[2] }.filter {
+            val sidoName = it[3]
+            val sigunguName = it[4]
+            val sameSigungu = allRegion.filter { r -> r[3] == sidoName && r[4] == sigunguName }
+            !((sameSigungu.size > 1) && sameSigungu.minByOrNull { r -> r[2].toInt() }!![2] != it[2])
+        }.joinToString(
+            prefix = "INSERT INTO region(code, sido_code, sigungu_code, sido_name, sigungu_name) VALUES ",
+            separator = ",\n"
+        ) { region ->
+            "('${region[0]}', '${region[1]}', '${region[2]}', '${region[3]}', '${region[4]}')"
+        }.also {
+            File("data/region.sql").writeText("${it};")
+        }
+    }
+})