v2.1.0

app/lib/meal.ts

@@ -5,11 +5,31 @@ const KEY = process.env.NEIS_API_KEY;
 
 export function removeNutritionInfo(value: string): string {
     const lines = value.trim().split('\n');
-    const cleanedLines = lines.map(line => line.replace(/\(.*?\)/g, '').trim());
+    const cleanedLines = lines.map(line => line.replace(/\s*\([\d.,]+\)/g, '').trim());
     const result = cleanedLines.join('\n');
     return result;
 }
 
+const nutritionList = [
+    "난류", "우유", "메밀", "땅콩", "대두", "밀", "고등어", "게", "새우", "돼지고기",
+    "복숭아", "토마토", "아황산류", "호두", "닭고기", "쇠고기", "오징어", "조개류(굴, 전복, 홍합 포함)", "잣"
+];
+
+export function getNutritionInfo(value: string): string[][] {
+    const lines = value.trim().split('\n');
+    return lines.map(line => {
+        const indexes = line
+            .replace(/[()\s]/g, "")
+            .split(".")
+            .map(v => parseInt(v, 10) - 1)
+            .filter(i => i >= 0 && i < nutritionList.length);
+        return indexes
+            .map(i => nutritionList[i])
+            .filter((item): item is string => typeof item === "string");
+    });
+}
+
+
 export async function getMealInfo(MLSV_YMD: string): Promise<{ meal: string; date: string, kcal: string }> {
     const url = `https://open.neis.go.kr/hub/mealServiceDietInfo?Type=json&ATPT_OFCDC_SC_CODE=E10&SD_SCHUL_CODE=7331071&MLSV_YMD=${MLSV_YMD}&KEY=${KEY}`;
     const response = await fetch(url);
@@ -17,7 +37,7 @@ export async function getMealInfo(MLSV_YMD: string): Promise<{ meal: string; dat
     // @ts-ignore
     const DDISH_NM = data.mealServiceDietInfo[1].row[0].DDISH_NM;
     return {
-        meal: removeNutritionInfo(DDISH_NM.replace(/<br\s*\/?>/gi, '\n')),
+        meal: DDISH_NM.replace(/<br\s*\/?>/gi, '\n'),
         date: MLSV_YMD,
         // @ts-ignore
 
@@ -32,7 +52,7 @@ export async function NameToEmoji(name: string): Promise<string> {
         throw new Error("GITHUB_TOKEN environment variable is not set.");
     }
     const endpoint = "https://models.github.ai/inference";
-    const model = "openai/gpt-4.1";
+    const model = "openai/gpt-4.1-mini";
 
     const client = ModelClient(
         endpoint,