Update app.py

app.py

@@ -351,7 +351,11 @@ def process_dataframe(df):
                        ]:
                 
                 try:
-                    df_pred_main[col] = loaded_label_encoder[col].inverse_transform(df_pred_main[col].astype(int))
+                    def safe_inverse_transform(le: LabelEncoder, codes: np.ndarray):
+                        known = set(le.classes_)
+                        return np.array([le.inverse_transform([c])[0] if c in known else "Unknown" for c in codes])
+                    df_pred_main[col] = safe_inverse_transform(loaded_label_encoder[col], df_pred_0[col])    
+                    #df_pred_main[col] = loaded_label_encoder[col].inverse_transform(df_pred_main[col].astype(int))
                 except ValueError as e:
                     print(f'inverse transform fails value in column {col}: {e}', 'error')
                     
@@ -383,27 +387,34 @@ def process_dataframe(df):
 # ------------------------------
 # Report View Route with Pagination & Toggle
 # ------------------------------
-@app.route('/report')
-def report_view():
-    report_type = request.args.get('report_type', 'pred')
-    try:
-        page = int(request.args.get('page', 1))
-    except ValueError:
-        page = 1
-    per_page = 15  # records per page
-
-    # Read the appropriate CSV file.
-    if report_type == 'pred':
-        df = pd.read_csv(PRED_OUTPUT_FILE)
-    else:
-        df = pd.read_csv(CLASS_OUTPUT_FILE)
 
-    start_idx = (page - 1) * per_page
-    end_idx = start_idx + per_page
-    total_records = len(df)
+@app.route("/report")
+def report_view():
+    # 1. get your input features
+    X_new = ...  # DataFrame
+
+    # 2. predict
+    codes = model.predict(X_new)
+    labels = safe_inverse_transform(label_enc, codes)
+
+    # 3. build df & html
+    df = pd.DataFrame({
+        "EngCts":           X_new["EngCts"],
+        "Makable_Predicted": labels,
+        "Makable_Diff":      X_new["EngCts"].astype(float) - label_enc.transform(labels)
+    })
+
+    table_html = df.to_html(classes="report-table", index=False)
+
+    return render_template(
+        "output.html",
+        report_type="pred",
+        page=1,
+        has_prev=False,
+        has_next=False,
+        table_html=table_html
+    )
     
-    df_page = df.iloc[start_idx:end_idx]
-
      # -------------------------------------V Colored CHnages --------------------------------------
     '''
     def add_colored_arrow(row):
@@ -421,8 +432,6 @@ def report_view():
 
     df_page['Makable_Predicted'] = df_page.apply(add_colored_arrow, axis=1)
     # -------------------------------------V Colored CHnages --------------------------------------
-
-
     # # -------------------------------------V Icon CHnages --------------------------------------
     # def add_fa_icon(row):
     #     try:
@@ -439,8 +448,7 @@ def report_view():
 
     # df_page['Makable_Predicted'] = df_page.apply(add_fa_icon, axis=1)
     # # -------------------------------------V Icon CHnages --------------------------------------
-    
-    
+
     table_html = df_page.to_html(classes="data-table", index=False, escape=False)
     
     has_prev = page > 1
@@ -455,26 +463,7 @@ def report_view():
     print("------------------------------------------------------------------------------------------------")    
     print("df_page['Makable_Diff']", df_page['Makable_Diff'])
     print("------------------------------------------------------------------------------------------------")
-    '''
-    # ------------------ V changes --------------------------------------
-    # Prepare chart data (convert to JSON for JS)
-    chart_data = {
-        'EngCts': [],
-        'Makable_Predicted': [],
-        'Makable_Diff': []
-    }
-    
-    # ------------------ V changes --------------------------------------
-    
-    return render_template('output.html',
-                           table_html=table_html,
-                           report_type=report_type,
-                           page=page,
-                           has_prev=has_prev,
-                           has_next=has_next,
-                           chart_data=json.dumps(chart_data)
-                          )
-    
+    ''' 
 
 # ------------------------------
 # Download Routes