Update app.py

app.py

@@ -1,6 +1,6 @@
 # =[Modules dan Packages]========================
 import c45
-from flask import Flask,render_template,request,jsonify
+from flask import Flask, render_template, request, jsonify
 import pandas as pd
 import json
 from joblib import load
@@ -9,14 +9,12 @@ from mysql.connector import Error
 import logging
 
 # =[Variabel Global]=============================
-
-app   = Flask(__name__, static_url_path='/static')
+app = Flask(__name__, static_url_path='/static')
 model = None
 
-
 # =[Routing]=====================================
 
-# [Routing untuk Halaman Utama atau Home]	
+# [Routing untuk Halaman Utama atau Home]
 @app.route("/")
 def beranda():
     return render_template('index.html')
@@ -30,17 +28,16 @@ def apiDeteksi():
             nama = request.form['Nama']
             posisi_harapan = request.form['Posisi_Harapan']
             usia = int(request.form['Usia'])
+
             # Extract kategori umur sebagai objek
             kategori_umur_obj = request.form.get('KategoriUmur')
-
-            # Check if kategori_umur_obj has a value
             if kategori_umur_obj is not None:
                 # Ubah objek JavaScript menjadi dict Python
                 kategori_umur_values = json.loads(kategori_umur_obj)
             else:
                 # Jika tidak ada nilai, atur sebagai dictionary kosong
                 kategori_umur_values = {}
-            
+
             # Python Flask code to access category values from formData
             kategori_umur_values = {f"KategoriUmur[{i}]": int(request.form.get(f"KategoriUmur[{i}]")) for i in range(1, 11)}
             kategori_umur_dict = {f"Kategori_Umur_{i}": kategori_umur_values.get(f"KategoriUmur[{i}]", 0) for i in range(1, 11)}
@@ -51,22 +48,28 @@ def apiDeteksi():
             kesesuaian_posisi_dg_pengalaman = int(request.form['Kesesuaian_Posisi_Pengalaman'])
 
             # Perform prediction
-            data = {**kategori_umur_dict, 
+            data = {**kategori_umur_dict,
                     "Pendidikan": pendidikan,
                     "Lama_Pengalaman": lama_pengalaman,
                     "Kesesuaian_Posisi_Skill": kesesuaian_posisi_dg_skills,
                     "Kesesuaian_Posisi_Pengalaman": kesesuaian_posisi_dg_pengalaman}
-            
+
             df_test = pd.DataFrame(data, index=[0])
             print("Data untuk prediksi:")
             print(df_test)
-            hasil_prediksi = model.predict(df_test[0:1])[0]
-            # Set up logging
-            logging.basicConfig(level=logging.DEBUG)
 
-            # Inside the apiDeteksi function, add logging statements to print values
-            logging.debug("Nama: %s", nama)
-            logging.debug("Kategori Umur: %s", kategori_umur_dict)
+            # Debug log to check the DataFrame
+            logging.debug(f"DataFrame for prediction:\n{df_test}")
+
+            # Check if model is loaded
+            if model is None:
+                raise Exception("Model not loaded")
+
+            # Perform prediction
+            hasil_prediksi = model.predict(df_test)[0]
+
+            # Debug log to check the prediction result
+            logging.debug(f"Prediction result: {hasil_prediksi}")
 
             # Map prediction to a string
             if hasil_prediksi == 1:
@@ -79,20 +82,20 @@ def apiDeteksi():
             # Save data to the database
             try:
                 connection = mysql.connector.connect(host='sql12.freesqldatabase.com',
-                                                database='sql12711336',
-                                                user='sql12711336',
-                                                password='ufDVxditnx')
+                                                     database='sql12711336',
+                                                     user='sql12711336',
+                                                     password='ufDVxditnx')
                 if connection.is_connected():
                     cursor = connection.cursor(prepared=True)
                     insert_query = ("INSERT INTO klasifikasi "
-                    "(nama, kategori_umur_1, kategori_umur_2, "
-                    "kategori_umur_3, kategori_umur_4, kategori_umur_5, kategori_umur_6, "
-                    "kategori_umur_7, kategori_umur_8, kategori_umur_9, kategori_umur_10, pendidikan, lama_pengalaman, "
-                    "kesesuaian_posisi_dg_skills, kesesuaian_posisi_dg_pengalaman, "
-                    "posisi_harapan, usia, hasil_prediksi) "
-                    "VALUES "
-                    "(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
-    
+                                    "(nama, kategori_umur_1, kategori_umur_2, "
+                                    "kategori_umur_3, kategori_umur_4, kategori_umur_5, kategori_umur_6, "
+                                    "kategori_umur_7, kategori_umur_8, kategori_umur_9, kategori_umur_10, pendidikan, lama_pengalaman, "
+                                    "kesesuaian_posisi_dg_skills, kesesuaian_posisi_dg_pengalaman, "
+                                    "posisi_harapan, usia, hasil_prediksi) "
+                                    "VALUES "
+                                    "(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
+
                     cursor.execute(insert_query, (nama,) + tuple(data.values()) + (posisi_harapan, usia, hasil_prediksi_str))
                     connection.commit()
                     print("Data berhasil disimpan ke database.")
@@ -116,26 +119,26 @@ def apiDeteksi():
 
     # If the request is not POST, render the prediksi.html page
     return render_template('prediksi.html')
-            
+
 @app.route("/view_tabel", methods=['GET'])
 def view_tabel():
     try:
         connection = mysql.connector.connect(host='sql12.freesqldatabase.com',
-                                                database='sql12711336',
-                                                user='sql12711336',
-                                                password='ufDVxditnx')
+                                             database='sql12711336',
+                                             user='sql12711336',
+                                             password='ufDVxditnx')
         if connection.is_connected():
             cursor = connection.cursor(dictionary=True)
             cursor.execute("SELECT * FROM klasifikasi")
             data_tabel = cursor.fetchall()
-            
+
             # Konversi nilai pendidikan, lama_pengalaman, kesesuaian_posisi_dg_skills, dan kesesuaian_posisi_dg_pengalaman
             for row in data_tabel:
                 row['pendidikan'] = ">= S1" if row['pendidikan'] == 1 else "<S1"
                 row['lama_pengalaman'] = ">1 Tahun" if row['lama_pengalaman'] == 1 else "<1 Tahun"
                 row['kesesuaian_posisi_dg_skills'] = "Sesuai Posisi Harapan" if row['kesesuaian_posisi_dg_skills'] == 1 else "Tidak Sesuai Posisi Harapan"
                 row['kesesuaian_posisi_dg_pengalaman'] = "Sesuai Posisi Harapan" if row['kesesuaian_posisi_dg_pengalaman'] == 1 else "Tidak Sesuai Posisi Harapan"
-            
+
             return render_template('view_tabel.html', data_tabel=data_tabel)
     except Error as e:
         print("Error while connecting to MySQL", e)
@@ -144,13 +147,16 @@ def view_tabel():
             cursor.close()
             connection.close()
             print("MySQL connection is closed")
-            
+
 # =[Main]========================================
 
 if __name__ == '__main__':
-	
-	# Load model yang telah ditraining
-	model = load('model_scratch_2.model')
+    # Load model yang telah ditraining
+    try:
+        model = load('model_scratch_2.model')
+        print("Model loaded successfully")
+    except Exception as e:
+        print(f"Error loading model: {e}")
 
-	# Run Flask di localhost 
-	app.run(host="localhost", port=5000, debug=True)
+    # Run Flask di localhost
+    app.run(host="localhost", port=5000, debug=True)