MacOS 10.14.6 Mojave.
Node v10.15.3
LocalStack - docker image 0.10.4

When invoking a Lambda from Node.js code.


    const lambda = new Aws.Lambda(creds);
    
    const payload = {};
    
    const clientContext = {
        invokedFunctionArn: this._workerArn
    };
    
    const params = {
        FunctionName: this._workerArn,
        InvocationType: "RequestResponse", // "DryRun",
        LogType: 'Tail', // "None", "Tail"
        ClientContext: JSON.stringify(clientContext),
        Payload: JSON.stringify(payload)
    };
    
    console.log(`DEBUG: Executing lambda ${JSON.stringify(params)}`);
    
    lambda.invoke(params, function (err, data) {
        console.log(`DEBUG: Printing lambda return arguments`);
        console.log(JSON.stringify(arguments));
        console.log(data.LogResult);
    });```
DEBUG: Printing lambda return arguments
{"0":null,"1":{"StatusCode":200,"Payload":"null"}}
undefined
```

Expecting to see the Lambda execution log in `data.LogResult`, but no such object returned,
yet Localstack Cloudwatch logs recorded the execution logs correctly.


```
EVENTS	75	1570381308926.664	+51733/05/27/[$LATEST]629146bb	START RequestId: dbd86068-78c8-1a62-29ca-9c0a4a8580c3 Version: $LATEST	1570381306039
EVENTS	76	1570381308926.664	+51733/05/27/[$LATEST]629146bb	2019-10-06T17:01:47.924Z	dbd86068-78c8-1a62-29ca-9c0a4a8580c3	INFO	DEBUG: LOCALSTACK_HOSTNAME=172.17.0.1	1570381306520
...
EVENTS	79	1570381308926.664	+51733/05/27/[$LATEST]629146bb	END RequestId: dbd86068-78c8-1a62-29ca-9c0a4a8580c3	1570381307961
EVENTS	80	1570381308926.664	+51733/05/27/[$LATEST]629146bb	REPORT RequestId: dbd86068-78c8-1a62-29ca-9c0a4a8580c3	Duration: 16.05 ms	Billed Duration: 100 ms	Memory Size: 1536 MB	Max Memory Used: 57 MB		1570381308442
```

What I'm missing? Why it doesn't return logs on invoke?

Thanks



┆Issue is synchronized with this [Jira Bug](https://localstack.atlassian.net/browse/LOC-125) by [Unito](https://www.unito.io/learn-more)

'MessageAttributes': message_attributes
            }
        }]
    }
    inv_result = run_lambda(event=event, context={}, func_arn=func_arn, asynchronous=not config.SYNCHRONOUS_SNS_EVENTS)
    return inv_result.result
def process_kinesis_records(records, stream_name):
    def chunks(lst, n):
        
        for i in range(0, len(lst), n):
            yield lst[i:i + n]
    
    try:
        stream_arn = aws_stack.kinesis_stream_arn(stream_name)
        sources = get_event_sources(source_arn=stream_arn)
        for source in sources:
            arn = source['FunctionArn']
            for chunk in chunks(records, source['BatchSize']):
                event = {
                    'Records': [
                        {
                            'eventID': 'shardId-000000000000:{0}'.format(rec['sequenceNumber']),
                            'eventSourceARN': stream_arn,
                            'eventSource': 'aws:kinesis',
                            'eventVersion': '1.0',
                            'eventName': 'aws:kinesis:record',
                            'invokeIdentityArn': 'arn:aws:iam::{0}:role/lambda-role'.format(TEST_AWS_ACCOUNT_ID),
                            'awsRegion': aws_stack.get_region(),
                            'kinesis': rec
                        }