AppSync API Should Have Logging Enabled.

First, you need to install and configure AWS CLI on your local machine. You can do this by following the instructions provided by AWS. Make sure you have the necessary permissions to access the AppSync APIs.

Once the AWS CLI is set up, you can list all the AppSync APIs using the following command:

aws appsync list-graphql-apis --region your-region

Replace ‘your-region’ with the region where your APIs are located. This command will return a list of all the AppSync APIs in the specified region.

To check the logging configuration of each API, you need to describe the API using the following command:

aws appsync get-graphql-api --api-id your-api-id --region your-region

Replace ‘your-api-id’ with the ID of the API you want to check and ‘your-region’ with the region where your API is located. This command will return the details of the specified API.

In the output of the above command, look for the ‘logConfig’ field. If the ‘logConfig’ field is present and the ‘cloudWatchLogsRoleArn’ and ‘fieldLogLevel’ are set, then logging is enabled for the API. If the ‘logConfig’ field is not present or the ‘cloudWatchLogsRoleArn’ and ‘fieldLogLevel’ are not set, then logging is not enabled for the API.

Install and configure AWS SDK for Python (Boto3): Before you can begin writing Python scripts to detect misconfigurations, you need to install and configure Boto3. You can install it using pip:

pip install boto3

Then, configure your AWS credentials to enable Boto3 to communicate with AWS services:

aws configure

You’ll be prompted to provide your AWS Access Key ID and Secret Access Key, which you can find in your AWS Management Console.

Import necessary libraries and establish a client connection: In your Python script, you’ll need to import Boto3 and establish a client connection to AWS AppSync. Here’s how you can do it:

import boto3

client = boto3.client('appsync')

List all AppSync APIs and check their logging status: You can use the list_graphql_apis method to get a list of all AppSync APIs, and then check the logConfig field of each API to see if logging is enabled. Here’s a sample script:

import boto3

client = boto3.client('appsync')

response = client.list_graphql_apis()

for api in response['graphqlApis']:
    if 'logConfig' in api:
        if api['logConfig']['cloudWatchLogsRoleArn'] and api['logConfig']['fieldLogLevel']:
            print(f"Logging is enabled for API: {api['name']}")
        else:
            print(f"Logging is not fully enabled for API: {api['name']}")
    else:
        print(f"Logging is not enabled for API: {api['name']}")

Handle pagination: The list_graphql_apis method returns a maximum of 25 APIs at a time. If you have more than 25 APIs, you’ll need to handle pagination by using the nextToken field in the response:

import boto3

client = boto3.client('appsync')

paginator = client.get_paginator('list_graphql_apis')

for page in paginator.paginate():
    for api in page['graphqlApis']:
        if 'logConfig' in api:
            if api['logConfig']['cloudWatchLogsRoleArn'] and api['logConfig']['fieldLogLevel']:
                print(f"Logging is enabled for API: {api['name']}")
            else:
                print(f"Logging is not fully enabled for API: {api['name']}")
        else:
            print(f"Logging is not enabled for API: {api['name']}")

This script will print out the names of all APIs and whether logging is enabled for each one.