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我在 Django 中有一个视图，我必须在这个视图中调用另一个函数。当我在视图中调用该函数时，出现'str' object has no attribute 'user'错误。但是当我删除函数调用时，没有错误。它在 django contrib 装饰器中给出了错误，如下所示。

C:\Users\imgea\Anaconda3\lib\site-packages\django\contrib\auth\decorators.py in _wrapped_view
    redirecting to the log-in page if necessary. The test should be a callable
    that takes the user object and returns True if the user passes.
    """
    def decorator(view_func):
        @wraps(view_func)
        def _wrapped_view(request, *args, **kwargs):
            if test_func(request.user):
                return view_func(request, *args, **kwargs)
            path = request.build_absolute_uri()
            resolved_login_url = resolve_url(login_url or settings.LOGIN_URL)
            # If the login url is the same scheme and net location then just
            # use the path as the "next" url.
            login_scheme, login_netloc = urlparse(resolved_login_url)[:2]

我的观点;

def optimize(request):
    customer_name = str(request.user)
    model_name = customer_name + "_cost"
    nominals = ['material_type','program','isleme_merkezi', 'baglama_sekil', 'ymmm', 'tezgah_kodu']
    cost_id = request.session['opt_id']
    optimization_features = request.session['opt_features']
    cost = Cost.objects.get(id=cost_id)
    cost_dict = model_to_dict(cost)
    features = request.user.profile.selected_features
    unknown_nominal_column_names = []
    unknown_column_names = []
    unknown_initial_guess = []
    known_map = dict()
    for feature in features:
        known_map[feature] = cost_dict[feature]
    for feature in optimization_features:
        if feature in nominals:
            unknown_nominal_column_names.append(feature)
        else:
            unknown_column_names.append(feature)
            unknown_initial_guess.append(float(known_map[feature]))

    values, optimize_cost = optimize_parameters(customer_name, model_name, known_map, unknown_column_names, unknown_nominal_column_names, unknown_initial_guess)
    # print(values)
    # print(optimize_cost)
    return render(request, "optimize_result.html")

我想在该视图中调用的函数；

def optimize_parameters(customer_name, model_name, known_values, unknown_column_names, unknown_nominal_column_names, unknown_initial_guess):
    models = Prediction.load_models(customer_name, model_name)
    if unknown_column_names:
        bounds = (75, 100)
    else:
        bounds = (None, None)
    single_model = models[0][0]
    unknown_nominal_column_indices = [single_model.nominal_columns.index(x) for x in unknown_nominal_column_names]
    unknown_nominal_values = [single_model.encoder.categories_[i] for i in unknown_nominal_column_indices]
    # create lambda function
    objective_function = lambda x, unknown_nominal_dictionary: Prediction.optimize_prediction(x,
    unknown_column_names,
    unknown_nominal_dictionary,
     known_values, models,
    0.7)
    lowest_values, lowest_cost = optimize(objective_function, bounds, unknown_column_names, unknown_nominal_column_names, unknown_nominal_values)
    return lowest_values, lowest_cost

我看到了这个问题的解决方案，即删除login_required但即使我尝试了这个，我仍然得到同样的错误。我该如何解决这个问题？

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