Some changes

test_odb.py

@@ -0,0 +1,60 @@
+import adodbapi
+import csv
+import os
+
+sdf_file = r"C:\Users\Sebastian Serfling\PycharmProjects\Balzer-WaagenDaten\App.sdf"
+output_csv = os.path.join(os.path.dirname(sdf_file), "Weighing_LDB_recovery.csv")
+
+print(f"📂 Versuche Wiederherstellung aus: {sdf_file}")
+
+conn_str = (
+    "Provider=Microsoft.SQLSERVER.CE.OLEDB.3.5;"
+    f"Data Source={sdf_file};Persist Security Info=False;"
+)
+
+try:
+    conn = adodbapi.connect(conn_str)
+    cursor = conn.cursor()
+    print("✅ Verbindung erfolgreich.")
+
+    # Versuche, alle Spaltennamen zu ermitteln
+    try:
+        cursor.execute("SELECT * FROM [Weighing_LDB] WHERE 1=0")
+        columns = [col[0] for col in cursor.description]
+        print(f"📋 Gefundene Spalten: {columns}")
+    except Exception as e:
+        print(f"⚠️ Fehler beim Lesen der Spalten: {e}")
+        columns = []
+
+    # Versuch, Spalte für Spalte zu lesen
+    recovered_rows = []
+    error_columns = []
+
+    for col in columns:
+        try:
+            cursor.execute(f"SELECT TOP 5 [{col}] FROM [Weighing_LDB]")
+            rows = cursor.fetchall()
+            recovered_rows.append((col, [r[0] for r in rows]))
+            print(f"✅ Spalte {col}: {len(rows)} Werte gelesen")
+        except Exception as e:
+            print(f"❌ Fehler in Spalte {col}: {e}")
+            error_columns.append(col)
+
+    if recovered_rows:
+        print(f"\n💾 Schreibe Ergebnis in: {output_csv}")
+        with open(output_csv, "w", newline="", encoding="utf-8") as f:
+            writer = csv.writer(f)
+            writer.writerow(["Spalte", "Beispielwerte"])
+            for col, vals in recovered_rows:
+                writer.writerow([col, str(vals[:5])])
+        print("✅ Teildaten erfolgreich exportiert.")
+
+    if error_columns:
+        print(f"\n⚠️ Problematische Spalten: {error_columns}")
+
+    cursor.close()
+    conn.close()
+    print("\n🔚 Wiederherstellung abgeschlossen.")
+
+except Exception as e:
+    print(f"❌ Fehler beim Zugriff auf SDF: {e}")