diff --git a/lib/weekly_visitor_forecast_prophet.py b/lib/weekly_visitor_forecast_prophet.py
index e3d45ca..b02be24 100644
--- a/lib/weekly_visitor_forecast_prophet.py
+++ b/lib/weekly_visitor_forecast_prophet.py
@@ -1,4 +1,7 @@
-#weekly_visitor_forecast_prophet.py
+# weekly_visitor_forecast_prophet.py
+# 퍼스트가든 방문객 예측 프로그램
+# prophet를 활용한 예측처리
+
 import os, sys
 import re, requests
 from sqlalchemy import select, and_, func
@@ -13,8 +16,8 @@ from datetime import date, datetime, timedelta
 # 경로 설정: 프로젝트 루트 conf 폴더 내 db 및 스키마 모듈 임포트
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
 from conf import db, db_schema
-from weather_forecast import get_weekly_precip  # 변경된 날씨 예보 함수 임포트
-from lib.holiday import is_korean_holiday  # holiday.py의 DB 기반 휴일 판단 함수
+from lib.weather_forecast import get_weekly_precip
+from lib.holiday import is_korean_holiday  
 from lib.common import load_config
 
 # DB 테이블 객체 초기화
@@ -263,6 +266,31 @@ def train_and_predict_rf(df, forecast_days=7):
     future_df['pos_qty'] = model.predict(future_df[['weekday', 'minTa', 'maxTa', 'sumRn', 'avgRhm', 'pm25']])
     return future_df
 
+# weekly_visitor_forecast_prophet.py 하단에 추가
+def get_forecast_dict(forecast_days=3) -> dict:
+    """
+    오늘 기준 forecast_days일 만큼 방문객 예측 데이터를 계산해
+    {'2025-07-11': 1020, '2025-07-12': 1103, ...} 형태로 반환
+    """
+    today = datetime.today().date()
+    start_date = today - timedelta(days=365)
+    end_date = today
+
+    with Session(db.engine) as session:
+        df = load_data(session, start_date, end_date)
+
+    prophet_df = prepare_prophet_df(df)
+    forecast = train_and_predict_prophet(prophet_df, forecast_days)
+
+    result = (
+        forecast[forecast['ds'].dt.date >= today]
+        [['ds', 'yhat']]
+        .copy()
+    )
+    result['ds'] = result['ds'].dt.strftime('%Y-%m-%d')
+    return dict(result.values)
+
+
 def main():
     today = datetime.today().date()
     start_date = today - timedelta(days=365)