Can I Limit Value used by python in Uri of an Api Gateway

Question

Asking a new question as my original was closed by admin who said a similar question had the answer. I checked it and it didnt have the answer. That answer was related to user input in Python itself. I am using a front end in the form of an Api Uri which I have included in this question.

In my code below I use this to call an Api using 'Method' and 'Value' parameters. For example on the URL they use to call the Api they enter Method2=Min and Value2=2 This works fine and allows the user to input whatever they want into Value2 so they can change the settings of an AutoScaling Group.

If the user makes a mistake and inputs Value as 100 instead of 10 in the Uri, for example Value3=100, I would not want the Autoscaling Group Max size to change to 100. Therefore is there of editing my script so I can stop that Max size from changing to 100? Like some sort of max size value in the script itself?

To invoke the Api I use powershell command like this

invoke-webrequest -Uri 'https://name-of-api.amazonaws.com/?TagKey=tag-key-name&TagValue=tag-value-name&Method1=Capacity&Value1=1&Method2=Min&Value2=1&Method3=Max&Value3=4' -Headers @{"X-Api-Key"="name-of-api-key"}

As you can see the user has the power to change 'Method3=Max' to have a 'Value3' of 100 if they want

Thanks

import boto3
import botocore
import os
import json
import logging

# Set up logger.
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
# Set up clients.
client = boto3.client('autoscaling')


def handler(event, context):
# Step one: get all AutoScaling Groups.
    response = client.describe_auto_scaling_groups(
        MaxRecords=100
    )

    # Make an empty list for ASG info storage.
    allAutoScaling = [] # empty list of no items.

    # Get the initial results and posts them to CloudWatch logs
    allAutoScaling.append(response['AutoScalingGroups'])
    logger.info(allAutoScaling)

    # If 'Marker' is present in the response, we have more to get.
    while 'Marker' in response:
        old_marker = response['Marker']
        response = client.describe_auto_scaling_groups(
            MaxRecords=100,
            Marker = old_marker
        )
        allAutoScaling.append(response['AutoScalingGroups'])
    
        # Cycles back up to repeat the pagination.

    # Now to find the tags specified in the Api Uri
    for autoscaling in allAutoScaling:
        for key in autoscaling:
           for tag in key['Tags']:
               if tag['Key'] == event['TagKey'] and tag['Value'] == event['TagValue']:
       
                if event['Method2'] == "Min":
                     if event['Value2']: 
                        Value2 = int(event['Value2'])
                        response = client.update_auto_scaling_group(
                        AutoScalingGroupName=key['AutoScalingGroupName'],    
                        MinSize=Value2
                        )
                else:
                    print('Min already at required level')
                    
                
                
                if event['Method3'] == "Max":
                     if event['Value3']: 
                        Value3 = int(event['Value3'])
                        response = client.update_auto_scaling_group(
                        AutoScalingGroupName=key['AutoScalingGroupName'],    
                        MaxSize=Value3
                        )
                else:
                    print('Max already at required level')
                    
                if event['Method1'] == "Capacity":
                      if event['Value1']: 
                         Value1 = int(event['Value1'])
                         response = client.set_desired_capacity(
                         AutoScalingGroupName=key['AutoScalingGroupName'],
                         DesiredCapacity=Value1
                         )
                else:
                    print('Capacity already at required level')