feat: 분석 페이지 고도화 및 AI 위험 적응형(AAS) SOI 모델 도입

project_service.py

@@ -0,0 +1,33 @@
+from sql_queries import DashboardQueries
+
+class ProjectService:
+    @staticmethod
+    def get_available_dates_logic(cursor):
+        cursor.execute(DashboardQueries.GET_AVAILABLE_DATES)
+        rows = cursor.fetchall()
+        return [row['crawl_date'].strftime("%Y.%m.%d") for row in rows if row['crawl_date']]
+
+    @staticmethod
+    def get_project_data_logic(cursor, date_str):
+        target_date = date_str.replace(".", "-") if date_str and date_str != "-" else None
+        
+        if not target_date:
+            cursor.execute(DashboardQueries.GET_LAST_CRAWL_DATE)
+            res = cursor.fetchone()
+            target_date = res['last_date']
+        
+        if not target_date:
+            return {"projects": []}
+
+        cursor.execute(DashboardQueries.GET_PROJECT_LIST, (target_date,))
+        rows = cursor.fetchall()
+        
+        projects = []
+        for r in rows:
+            name = r['short_nm'] if r['short_nm'] and r['short_nm'].strip() else r['project_nm']
+            projects.append([
+                name, r['department'], r['master'], 
+                r['recent_log'], r['file_count'], 
+                r['continent'], r['country']
+            ])
+        return {"projects": projects}