How to use forward_event_to_target_stream method in localstack

Best Python code snippet using localstack_python

34128_lambda_integration.py

Source:34128_lambda_integration.py Github

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...45 target_name = forwarding_target.split(':')[-1]46 if forwarding_target.startswith('kinesis:'):47 ddb_new_image['data'][MSG_BODY_MESSAGE_TARGET] = 's3:/test_chain_result'48 kinesis_record['Data'] = json.dumps(ddb_new_image['data'])49 forward_event_to_target_stream(kinesis_record, target_name)50 elif forwarding_target.startswith('s3:'):51 s3_client = aws_stack.connect_to_service('s3')52 test_data = to_bytes(json.dumps({'test_data': ddb_new_image['data']['test_data']}))53 s3_client.upload_fileobj(BytesIO(test_data), TEST_BUCKET_NAME, target_name)54 else:55 raw_event_messages.append(kinesis_record)56 # Forward messages to Kinesis57 forward_events(raw_event_messages)58def deserialize_event(event):59 # Deserialize into Python dictionary and extract the "NewImage" (the new version of the full ddb document)60 ddb = event.get('dynamodb')61 if ddb:62 ddb_deserializer = TypeDeserializer()63 return ddb_deserializer.deserialize({'M': ddb['NewImage']})64 kinesis = event.get('kinesis')65 if kinesis:66 assert kinesis['sequenceNumber']67 kinesis['data'] = json.loads(to_str(base64.b64decode(kinesis['data'])))68 return kinesis69 return event.get('Sns')70def forward_events(records):71 if not records:72 return73 kinesis = aws_stack.connect_to_service('kinesis')74 kinesis.put_records(StreamName=KINESIS_STREAM_NAME, Records=records)75def forward_event_to_target_stream(record, stream_name):76 kinesis = aws_stack.connect_to_service('kinesis')...

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lambda_integration.py

Source:lambda_integration.py Github

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...37 target_name = forwarding_target.split(':')[-1]38 if forwarding_target.startswith('kinesis:'):39 ddb_new_image['data'][MSG_BODY_MESSAGE_TARGET] = 's3:/test_chain_result'40 kinesis_record['Data'] = json.dumps(ddb_new_image['data'])41 forward_event_to_target_stream(kinesis_record, target_name)42 elif forwarding_target.startswith('s3:'):43 s3_client = aws_stack.connect_to_service('s3')44 test_data = to_bytes(json.dumps({'test_data': ddb_new_image['data']['test_data']}))45 s3_client.upload_fileobj(BytesIO(test_data), TEST_BUCKET_NAME, target_name)46 else:47 raw_event_messages.append(kinesis_record)48 # Forward messages to Kinesis49 forward_events(raw_event_messages)50def deserialize_event(event):51 # Deserialize into Python dictionary and extract the "NewImage" (the new version of the full ddb document)52 ddb = event.get('dynamodb')53 if ddb:54 ddb_deserializer = TypeDeserializer()55 return ddb_deserializer.deserialize({'M': ddb['NewImage']})56 kinesis = event.get('kinesis')57 if kinesis:58 assert kinesis['sequenceNumber']59 kinesis['data'] = json.loads(to_str(base64.b64decode(kinesis['data'])))60 return kinesis61 return event.get('Sns')62def forward_events(records):63 if not records:64 return65 kinesis = aws_stack.connect_to_service('kinesis')66 kinesis.put_records(StreamName=KINESIS_STREAM_NAME, Records=records)67def forward_event_to_target_stream(record, stream_name):68 kinesis = aws_stack.connect_to_service('kinesis')...

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