How to debug a blob triggered azure function on VScode without it re-running on all the existing blobs

Question

Note: In the question below, I am not deploying the function, I just want to debug the function and see some values to confirm my code.

I have an azure function that I test locally on VScode (azure extension). This function is blob triggered i.e. triggered an an image is uplaoded to ac ertain blob container (say c). I have also linked my blob storage my vscode. The storage container c has a lot of images already (200+). When I change anything in my azure function, I want to debug it using a single new image upload. But as soon as I hit debug, it shows a lot of blobs triggered (please see snapshot). Sometimes I have to wait a long time as it seems to trigger all the blobs but I want that function is only triggered by the new upload I do.

Can someone help me with what I am doing wrong?

Thank you.

Edit:

My blob trigger/azure function is way too long so I will just post on how it triggers

def main(myblob: func.InputStream, doc: func.Out[func.Document]):
    logging.info(f"Python blob trigger function processed blob \n"
                 f"Name: {myblob.name}\n"
                 f"Blob Size: {myblob.length} bytes")

    blob_val = myblob.read()
    .
    .
    .

and host.json:

{
  "version": "2.0",
  "extensionBundle": {
    "id": "Microsoft.Azure.Functions.ExtensionBundle",
    "version": "[2.*, 3.0.0)"
  }
}

Please let me know if this is insufficient. In short, my function is triggered when it sees a new image (with a certain suffix), does some processing on the image and uploads the computed metadata somewhere.