Update or create Jsonfield records dynamically in django

Am working on a django project which allows a user to upload an excel file containing data and the system reads, cleans, saves the data in a json format and gives insihts from the saved data.
Now, i want if a user uploads an excel file containing the same columns as the columns in the db, the system should update or create new fields.

Below is my models.py

from django.db import models

class UploadedFile(models.Model):
    file = models.FileField(upload_to="data-files/")
    uploaded_at = models.DateTimeField(auto_now_add=True)

    def __str__(self):
        return f"{self.file} uploaded at {self.uploaded_at}"

class CleanedData(models.Model):
    data = models.JSONField()
    uploaded_file = models.ForeignKey(UploadedFile, on_delete=models.CASCADE)
    created_at = models.DateTimeField(auto_now_add=True)

And below are the required views

def upload_data(request):
    if request.method == "POST":
        form = forms.UploadFileForm(request.POST, request.FILES)
        if form.is_valid():
            uploaded_file = form.save()
            return redirect("process_data", pk=uploaded_file.pk)
        form = forms.UploadFileForm()
    context = {
        "form": form,
    return render(request, "upload_data.html", context)

def process_data(request, pk):
    uploaded_file = get_object_or_404(models.UploadedFile, pk=pk)
    file_path = os.path.join(settings.MEDIA_ROOT, uploaded_file.file.name)

    # reading the excel file 
    df = pd.read_excel(file_path)

    # cleaning the data 
    df_cleaned = clean_data(df)

    # saving the cleaned data to the db
    save_data_to_db(df_cleaned, uploaded_file)
    return render(request, "success.html")

def clean_data(df):
    # replacing NaN with empty strings
    df = df.fillna("")
    return df

def save_data_to_db(df, uploaded_file):
    cleaned_data = models.CleanedData(data=df.to_dict(orient="records"), uploaded_file=uploaded_file)

def visualize_data(request, pk):
    cleaned_data = models.CleanedData.objects.get(pk=pk)
    df = pd.DataFrame(cleaned_data.data)
    # Calculate insights
    training_received_counts = df['Training Received '].value_counts().to_dict()
    form_of_land_access_counts = df['Form of land access'].value_counts().to_dict()

    # Example visualization using Plotly
    if 'Training Received ' in df.columns:
        fig = px.histogram(df, x='Training Received ')
        plot_div = plot(fig, output_type='div')
        plot_div = "Column 'Training Received ' not found in the data"

    context = {
        'plot_div': plot_div,
        'training_received_counts': training_received_counts,
        'form_of_land_access_counts': form_of_land_access_counts,

    return render(request, 'visualization.html', context)

What am getting is that whenever a user uploads a file, its data is saved independently regardless of whether there is another data with the same columns and rows

rewrite the function to update or create instead of explicitly creating new records:

def save_data_to_db(df, uploaded_file):
    data_dict = df.to_dict(orient="records")
        defaults={"data": data_dict}