我需要实现一个保存数据在txt，csv，bin和卸载它们的方法。我使用select_file方法选择文件，该方法检查我选择的文件格式并调用相应的函数。

data = {
    "name": heater.name,
    "kW": heater.kW,
    "sections": heater.sections,
    "thermostat": heater.thermostat,
    "cordLength": heater.cordLength,
    "maxFanSpeed": heater.maxFanSpeed,
    "isWaterFan": heater.isWaterFan,     
    "country": heater.country,
    "manufacturer": heater.manufacturer,
    "dm": heater.dm,
    "state": heater.state,
}

CSV：

def save_csv_file(self, data):  # Сэйв csv
    filename = "heaters/" + f"heater{data['name'].upper()}.csv"
    with open(filename, "w", newline="") as file:
        writer = csv.writer(file)
        writer.writerow(
            [
                "Назва: ",
                "Потужність: ",
                "Секції: ",
                "Термостат: ",
                "Довжина шнуру: ",
                "Максимальна кількість обертів: ",
                "Це водний тепловетилятор: ",
                "Країна-постачальник: ",
                "Фірма-виробник: ",
                "Діаметр: ",
                "Стан: ",
            ]
        )
        writer.writerow(
            [
                data["name"],
                data["kW"],
                data["sections"],
                "Наявний" if data["thermostat"] else "Відсутній",
                data["cordLength"],
                data["maxFanSpeed"],
                "Так" if data["isWaterFan"] else "Ні",
                data["country"],
                data["manufacturer"],
                data["dm"],
                data["state"],
            ]
        )

def load_csv_file(self, filename):
    try:
        with open(filename, "r", newline="") as file:
            reader = csv.reader(file)
            header = next(reader)  # Skip the header row

            
            expected_columns = [
                "Назва: ",
                "Потужність: ",
                "Секції: ",
                "Термостат: ",
                "Довжина шнуру: ",
                "Максимальна кількість обертів: ",
                "Це водний тепловетилятор: ",
                "Країна-постачальник: ",
                "Фірма-виробник: ",
                "Діаметр: ",
                "Стан: ",
            ]
            if header != expected_columns:
                raise ValueError("Invalid CSV file format")

            # Read the row containing the data
            data_row = next(reader)

            # Extract the values from the data row
            data = {
                "name": data_row[0],
                "kW": data_row[1],
                "sections": data_row[2],
                "thermostat": True if data_row[3] == "Наявний" else False,
                "cordLength": data_row[4],
                "maxFanSpeed": data_row[5],
                "isWaterFan": True if data_row[6] == "Так" else False,
                "country": data_row[7],
                "manufacturer": data_row[8],
                "dm": data_row[9],
                "state": data_row[10],
            }

            # Update the selected_heater attribute
            self.selected_heater = FanHeater(
                data["dm"],
                data["manufacturer"],
                data["country"],
                data["maxFanSpeed"],
                data["isWaterFan"],
                data["name"],
                data["kW"],
                data["sections"],
                data["thermostat"],
                data["cordLength"],
                data["state"],
            )

            # Display the heater details
            HeaterGui.show_heater_details()
    except FileNotFoundError:
        print("File not found.")

BIN：

def save_binary_file(self, data):
    filename = "heaters/" + f"heater{data['name'].upper()}.bin"
    with open(filename, "wb") as file:
        pickle.dump(data, file)
def load_binary_file(self, filename):  # Загрузка bin
    with open(filename, "rb") as file:
        data = pickle.load(file)
    return data

通过此函数选择文件：

def select_file(self):
    filetypes = (
        ("Текстовый файл", "*.txt"),
        ("CSV файл", "*.csv"),
        ("Бинарный файл", "*.bin"),
    )
    filename = filedialog.askopenfilename(filetypes=filetypes)

    if filename:
        try:
            heater = None
            try:
                heater = FanHeater()
                heater.load_text_file(filename)
            except FileNotFoundError:
                try:
                    heater = FanHeater()
                    heater.load_csv_file(filename)
                except FileNotFoundError:
                    try:
                        heater = FanHeater()
                        heater.load_binary_file(filename)
                    except FileNotFoundError:
                        messagebox.showerror("Error", "File not found")

            if heater:
                self.selected_heater = heater
                self.show_heater_details()

        except Exception as e:
            messagebox.showerror("Error", str(e))
    else:
        messagebox.showerror("Error", "No file selected")

我试着仔细检查文件中的数据、变量的顺序等等。什么都不管用。错误：“列表索引超出范围”仍然存在。
我假设错误发生在这些行上：

if filename:
    try:
        heater = None
        try:
            heater = FanHeater()
            heater.load_text_file(filename)
        except FileNotFoundError:
            try:
                heater = FanHeater()
                heater.load_csv_file(filename)
            except FileNotFoundError:
                try:
                    heater = FanHeater()
                    heater.load_binary_file(filename)
                except FileNotFoundError:
                    messagebox.showerror("Error", "File not found")

        if heater:
            self.selected_heater = heater
            self.show_heater_details()

    except Exception as e: # Attention
        messagebox.showerror("Error", str(e))

最有趣的是load_csv_file函数本身没有调用，因为它留下了try（print不输出任何东西）。虽然从逻辑上讲，错误是由load_csv_file的不正确处理引起的。

Traceback (most recent call last): 
 File "C:\Users\zurto\Desktop\ONPU\Python\lr5.py", line 785, in select_file heater.load_text_file(filename) 
 File "C:\Users\zurto\Desktop\ONPU\Python\lr5.py", line 98, in load_text_file self.cordLength = lines[4].strip()

Line 98:
                self.cordLength = lines[4].strip()