fix: memperbaiki predict tomat, feact:menambahkan file vercel

backend/config/db.py

@@ -1,7 +1,7 @@
 from sqlalchemy.orm import sessionmaker
 from sqlalchemy import create_engine, MetaData
 
-engine = create_engine("mysql+pymysql://root@localhost:3306/predict")
+engine = create_engine("mysql+pymysql://uupkixae2jbw2zse:1bFkfd8pfZ6EZhphAPQa@bdcaorplf9ct8apn6n5o-mysql.services.clever-cloud.com:3306/bdcaorplf9ct8apn6n5o")
 meta = MetaData()
 conn = engine.connect()
 

backend/routes/predictTomat.py

@@ -24,13 +24,13 @@ async def read_data(db: Session = Depends(get_db)):
             query = text("""
                 SELECT 
                 (SELECT pt.tanggal 
-                FROM predict.price_tomat AS pt 
-                JOIN predict.result_predict AS rp ON pt.id = rp.id 
+                FROM price_tomat AS pt 
+                JOIN result_predict AS rp ON pt.id = rp.id 
                 ORDER BY rp.id ASC 
                 LIMIT 1 OFFSET 29) AS tanggal_old,
 
                 (SELECT tanggal 
-                FROM predict.price_tomat 
+                FROM price_tomat 
                 ORDER BY tanggal DESC 
                 LIMIT 1) AS tanggal_new;
             """)
@@ -50,6 +50,7 @@ async def read_data(db: Session = Depends(get_db)):
 
 @predict_router.get("/price", response_model=dict, dependencies=[Depends(verify_token)])
 def predict_price(db: Session = Depends(get_db)):
+    try:
         existing_data = db.execute(select(resultPredict)).fetchone()
         if existing_data:
             db.execute(delete(resultPredict))  # Hapus semua data lama
@@ -140,26 +141,61 @@ def predict_price(db: Session = Depends(get_db)):
         jumlah_data_dikirim = 0
         
         # Gabungkan hasil prediksi ke data uji
+        # for i in range(len(y_pred)):
+        #     id_tomat = id_test[i]
+        #     hasil = y_pred[i]
+
+        #     # Invers hasil prediksi
+        #     dummy_row = np.zeros((1, 5))  # [0, 0, 0, 0, 0, hasil_prediksi]
+        #     dummy_row[0][4] = hasil
+        #     prediksi_asli = float(scaler.inverse_transform(dummy_row)[0][4])
+
+        #     existing = db.execute(select(resultPredict).where(resultPredict.c.id == id_tomat)).fetchone()
+        #     if existing:
+        #         db.execute(
+        #             resultPredict.update()
+        #             .where(resultPredict.c.id == id_tomat)
+        #             .values(hasil_prediksi=prediksi_asli)
+        #         )
+        #     else:
+        #         db.execute(insert(resultPredict).values(id=id_tomat, hasil_prediksi=prediksi_asli))
+
+        #     jumlah_data_dikirim += 1
+
+        insert_data = []
+        update_data = []
+
         for i in range(len(y_pred)):
+            
             id_tomat = id_test[i]
             hasil = y_pred[i]
+            print("start prediction", id_tomat, hasil)
 
             # Invers hasil prediksi
-        dummy_row = np.zeros((1, 5))  # [0, 0, 0, 0, 0, hasil_prediksi]
+            dummy_row = np.zeros((1, 5))
             dummy_row[0][4] = hasil
             prediksi_asli = float(scaler.inverse_transform(dummy_row)[0][4])
 
-        existing = db.execute(select(resultPredict).where(resultPredict.c.id == id_tomat)).fetchone()
-        if existing:
+            
+            insert_data.append({
+                "id": id_tomat,
+                "hasil_prediksi": prediksi_asli
+            })
+
+        print("print data keseluruhan", insert_data)
+        # Bulk insert
+        if insert_data:
+            db.execute(insert(resultPredict), insert_data)
+
+        # Bulk update (looped, karena SQLAlchemy core tidak punya bulk update langsung)
+        for item in update_data:
             db.execute(
                 resultPredict.update()
-                .where(resultPredict.c.id == id_tomat)
-                .values(hasil_prediksi=prediksi_asli)
+                .where(resultPredict.c.id == item["id"])
+                .values(hasil_prediksi=item["hasil_prediksi"])
             )
-        else:
-            db.execute(insert(resultPredict).values(id=id_tomat, hasil_prediksi=prediksi_asli))
 
-        jumlah_data_dikirim += 1
+        jumlah_data_dikirim += len(insert_data) + len(update_data)
 
         db.commit()
         
@@ -170,6 +206,12 @@ def predict_price(db: Session = Depends(get_db)):
             "Pesan": "Prediksi seluruh data berhasil disimpan ke database"
         }
 
+    except Exception as e:
+        db.rollback()  # penting!
+        print(f"Error: {e}")
+    finally:
+        db.close()
+
 
 
 

backend/vercel.json

@@ -0,0 +1,14 @@
+{
+    "builds":[
+        {
+            "src": "index.py",
+            "use": "@vercel/python"
+        }
+    ],
+    "routes": [
+        {
+            "src": "/(.*)",
+            "dest": "index.py"
+        }
+    ]
+}

frontend/src/pages/LandingPage/ViewGrafik.jsx

@@ -71,7 +71,7 @@ const ViewGrafik = ({ date, setDate, dataYAxis, setDataYAxis, priceType, setPric
 
         
         
-        if (!!date && !!tempPriceType) {
+        if (!date && !tempPriceType) {
 
             setTabelDataAktual([]);
             setTabelDataPredict([]);