def test_collector(historical_role, buckets, mock_lambda_environment, swag_accounts, current_s3_table): from historical.s3.collector import handler now = datetime.utcnow().replace(tzinfo=None, microsecond=0) create_event = CloudwatchEventFactory( detail=DetailFactory(requestParameters={"bucketName": "testbucket1"}, source="aws.s3", eventName="CreateBucket", eventTime=now)) data = json.dumps(create_event, default=serialize) data = KinesisRecordsFactory( records=[KinesisRecordFactory(kinesis=KinesisDataFactory(data=data))]) data = json.dumps(data, default=serialize) data = json.loads(data) handler(data, None) result = list(CurrentS3Model.query("arn:aws:s3:::testbucket1")) assert len(result) == 1 # Verify that the tags are duplicated in the top level and configuration: assert len(result[0].Tags.attribute_values) == len( result[0].configuration.attribute_values["Tags"]) == 1 assert result[0].Tags.attribute_values["theBucketName"] == \ result[0].configuration.attribute_values["Tags"]["theBucketName"] == "testbucket1" # noqa # Polling (make sure the date is included): polling_event = CloudwatchEventFactory( detail=DetailFactory(requestParameters={ "bucketName": "testbucket1", "creationDate": now }, source="aws.s3", eventName="DescribeBucket", eventTime=now)) data = json.dumps(polling_event, default=serialize) data = KinesisRecordsFactory( records=[KinesisRecordFactory(kinesis=KinesisDataFactory(data=data))]) data = json.dumps(data, default=serialize) data = json.loads(data) handler(data, None) assert CurrentS3Model.count() == 1 # Load the config and verify the polling timestamp is in there: result = list(CurrentS3Model.query("arn:aws:s3:::testbucket1")) assert result[0].configuration["CreationDate"] == now.isoformat() + "Z" # And deletion: delete_event = CloudwatchEventFactory( detail=DetailFactory(requestParameters={"bucketName": "testbucket1"}, source="aws.s3", eventName="DeleteBucket", eventTime=now)) data = json.dumps(delete_event, default=serialize) data = KinesisRecordsFactory( records=[KinesisRecordFactory(kinesis=KinesisDataFactory(data=data))]) data = json.dumps(data, default=serialize) data = json.loads(data) handler(data, None) assert CurrentS3Model.count() == 0
def test_collector(historical_role, buckets, mock_lambda_environment, swag_accounts, current_s3_table): """Test the Collector.""" from historical.s3.models import CurrentS3Model from historical.s3.collector import handler now = datetime.utcnow().replace(tzinfo=None, microsecond=0) create_event = CloudwatchEventFactory( detail=DetailFactory(requestParameters={"bucketName": "testbucket1"}, eventSource="aws.s3", eventName="CreateBucket", eventTime=now)) data = json.dumps(create_event, default=serialize) data = RecordsFactory(records=[SQSDataFactory(body=data)]) data = json.dumps(data, default=serialize) data = json.loads(data) handler(data, mock_lambda_environment) result = list(CurrentS3Model.query("arn:aws:s3:::testbucket1")) assert len(result) == 1 assert result[0].Tags.attribute_values["theBucketName"] == "testbucket1" assert result[0].eventSource == "aws.s3" # Polling (make sure the date is included): polling_event = CloudwatchEventFactory( detail=DetailFactory(requestParameters={ "bucketName": "testbucket1", "creationDate": now }, eventSource="historical.s3.poller", eventName="PollS3", eventTime=now)) data = json.dumps(polling_event, default=serialize) data = RecordsFactory(records=[SQSDataFactory(body=data)]) data = json.dumps(data, default=serialize) data = json.loads(data) handler(data, mock_lambda_environment) assert CurrentS3Model.count() == 1 # Load the config and verify the polling timestamp is in there: result = list(CurrentS3Model.query("arn:aws:s3:::testbucket1")) assert result[0].configuration["CreationDate"] == now.isoformat() + "Z" assert result[0].eventSource == "historical.s3.poller" # And deletion: delete_event = CloudwatchEventFactory( detail=DetailFactory(requestParameters={"bucketName": "testbucket1"}, eventSource="aws.s3", eventName="DeleteBucket", eventTime=now)) data = json.dumps(delete_event, default=serialize) data = RecordsFactory(records=[SQSDataFactory(body=data)]) data = json.dumps(data, default=serialize) data = json.loads(data) handler(data, mock_lambda_environment) assert CurrentS3Model.count() == 0
def test_current_table(current_s3_table): from historical.s3.models import CurrentS3Model CurrentS3Model(**S3_BUCKET).save() items = list(CurrentS3Model.query('arn:aws:s3:::testbucket1')) assert len(items) == 1 assert isinstance(items[0].ttl, int) assert items[0].ttl > 0
def test_current_table(current_s3_table): # pylint: disable=W0613 """Tests for the Current PynamoDB model.""" from historical.s3.models import CurrentS3Model CurrentS3Model(**S3_BUCKET).save() items = list(CurrentS3Model.query('arn:aws:s3:::testbucket1')) assert len(items) == 1 assert isinstance(items[0].ttl, int) assert items[0].ttl > 0
def process_durable_event(record, s3_report): """Processes a group of Historical Durable Table events.""" if record.get(EVENT_TOO_BIG_FLAG): result = list(CurrentS3Model.query(record['arn'])) # Is the record too big and also not found in the Current Table? Then delete it: if not result: record['item'] = {'configuration': {}, 'BucketName': record['arn'].split('arn:aws:s3:::')[1]} else: record['item'] = dict(result[0]) if not record['item']['configuration']: log.debug(f"[ ] Processing deletion for: {record['item']['BucketName']}") s3_report["buckets"].pop(record['item']['BucketName'], None) else: log.debug(f"[ ] Processing: {record['item']['BucketName']}") s3_report["all_buckets"].append(record['item'])
def test_snsproxy_dynamodb_differ(historical_role, current_s3_table, durable_s3_table, mock_lambda_environment, buckets): """ This mostly checks that the differ is able to properly load the reduced dataset from the SNSProxy. """ # Create the item in the current table: from historical.s3.collector import handler as current_handler from historical.s3.differ import handler as diff_handler from historical.s3.models import CurrentS3Model, DurableS3Model from historical.common.sns import shrink_sns_blob # Mock out the loggers: import historical.common.dynamodb old_logger = historical.common.dynamodb.log mocked_logger = MagicMock() historical.common.dynamodb.log = mocked_logger now = datetime.utcnow().replace(tzinfo=None, microsecond=0) create_event = CloudwatchEventFactory( detail=DetailFactory(requestParameters={"bucketName": "testbucket1"}, eventSource="aws.s3", eventName="CreateBucket", eventTime=now)) data = json.dumps(create_event, default=serialize) data = RecordsFactory(records=[SQSDataFactory(body=data)]) data = json.dumps(data, default=serialize) data = json.loads(data) current_handler(data, mock_lambda_environment) result = list(CurrentS3Model.query("arn:aws:s3:::testbucket1")) assert len(result) == 1 # Mock out the DDB Stream for this creation and for an item that is NOT in the current table:: ttl = int(time.time() + TTL_EXPIRY) new_bucket = S3_BUCKET.copy() new_bucket['eventTime'] = datetime( year=2017, month=5, day=12, hour=10, minute=30, second=0).isoformat() + 'Z' new_bucket['ttl'] = ttl ddb_existing_item = DynamoDBRecordFactory(dynamodb=DynamoDBDataFactory( NewImage=new_bucket, Keys={'arn': new_bucket['arn']}, OldImage=new_bucket), eventName='INSERT') missing_bucket = S3_BUCKET.copy() missing_bucket['eventTime'] = datetime( year=2017, month=5, day=12, hour=10, minute=30, second=0).isoformat() + 'Z' missing_bucket['ttl'] = ttl missing_bucket['BucketName'] = 'notinthecurrenttable' missing_bucket['arn'] = 'arn:aws:s3:::notinthecurrenttable' missing_bucket['configuration']['Name'] = 'notinthecurrenttable' ddb_missing_item = DynamoDBRecordFactory(dynamodb=DynamoDBDataFactory( NewImage=missing_bucket, Keys={'arn': 'arn:aws:s3:::notinthecurrenttable'}, OldImage=new_bucket), eventName='INSERT') # Get the shrunken blob: shrunken_existing = json.dumps( shrink_sns_blob( json.loads(json.dumps(ddb_existing_item, default=serialize)))) shrunken_missing = json.dumps( shrink_sns_blob( json.loads(json.dumps(ddb_missing_item, default=serialize)))) records = RecordsFactory(records=[ SQSDataFactory(body=json.dumps( SnsDataFactory(Message=shrunken_existing), default=serialize)), SQSDataFactory(body=json.dumps( SnsDataFactory(Message=shrunken_missing), default=serialize)) ]) records_event = json.loads(json.dumps(records, default=serialize)) # Run the differ: diff_handler(records_event, mock_lambda_environment) # Verify that the existing bucket in the Current table is in the Durable table with the correct configuration: result = list(DurableS3Model.query("arn:aws:s3:::testbucket1")) assert len(result) == 1 assert result[0].configuration.attribute_values['Name'] == 'testbucket1' # Verify that the missing bucket is ignored -- as it will be processed presumably later: result = list(DurableS3Model.query("arn:aws:s3:::notinthecurrenttable")) assert not result # Verify that the proper log statements were reached: assert mocked_logger.debug.called assert mocked_logger.error.called debug_calls = [ '[-->] Item with ARN: arn:aws:s3:::notinthecurrenttable was too big for SNS ' '-- fetching it from the Current table...', '[+] Saving new revision to durable table.', '[-->] Item with ARN: arn:aws:s3:::testbucket1 was too big for SNS -- fetching it from the Current table...' ] for dc in debug_calls: mocked_logger.debug.assert_any_call(dc) mocked_logger.error.assert_called_once_with( '[?] Received item too big for SNS, and was not able to ' 'find the original item with ARN: arn:aws:s3:::notinthecurrenttable') # Unmock the logger: historical.common.dynamodb.log = old_logger