Update utils.py

utils.py

@@ -2,7 +2,10 @@ import pandas as pd
 import json
 
 def parse_excel_file(file_path):
-    df = pd.read_excel(file_path, header=2)
+    try:
+        df = pd.read_excel(file_path, header=2)
+    except Exception as e:
+        raise ValueError(f"❌ خطا در خواندن فایل اکسل: {str(e)}")
 
     column_mapping = {
         "کد": ["کد فهرست بها", "کد"],
@@ -20,12 +23,17 @@ def parse_excel_file(file_path):
 
     materials = []
     for _, row in df.iterrows():
-        if pd.isna(row[resolved_columns["کد"]]):
-            continue  # ردیف‌های خالی نادیده گرفته شوند
+        try:
+            quantity = float(row[resolved_columns["تعداد"]])
+            if pd.isna(quantity) or quantity <= 0:
+                continue
+        except:
+            continue
+
         material = {
             "code": str(row[resolved_columns["کد"]]).strip(),
             "description": str(row[resolved_columns["عنوان"]]).strip(),
-            "quantity": float(row[resolved_columns["تعداد"]]),
+            "quantity": quantity,
             "unit": str(row[resolved_columns["واحد"]]).strip()
         }
         materials.append(material)
@@ -33,5 +41,8 @@ def parse_excel_file(file_path):
     return materials
 
 def save_to_json(data, output_path="material_db.json"):
-    with open(output_path, "w", encoding="utf-8") as f:
-        json.dump(data, f, indent=2, ensure_ascii=False)
+    try:
+        with open(output_path, "w", encoding="utf-8") as f:
+            json.dump(data, f, indent=2, ensure_ascii=False)
+    except Exception as e:
+        raise ValueError(f"❌ خطا در ذخیره فایل JSON: {str(e)}")