async def handle_event(event, lambda_context):
logger.info("Event: {}".format(json.dumps(event, indent=2)))
async with aioaws.resource("s3") as s3_resource, aioaws.client(
"s3") as s3_client:
records = [json.loads(record["body"]) for record in event["Records"]]
await asyncio.gather(
*[__gather(record, s3_resource, s3_client) for record in records])
async def handle_event(event, lambda_context):
logger.info("Event: {}".format(json.dumps(event, indent=2)))
s3_objects = __get_s3_objects_from(event)
batch_ids = set([__extract_batch_id(key[1]) for key in s3_objects])
async with aioaws.client("sqs") as sqs_client, \
aioaws.resource("s3") as s3_resource:
await asyncio.gather(*[
__check_if_complete(batch_id, s3_resource, sqs_client)
for batch_id in batch_ids
])
async def handle_event(event, lambda_context):
logger.info("Event: {}".format(json.dumps(event, indent=2)))
async with aioaws.client("sqs") as sqs_client, \
aioaws.resource("s3") as s3_resource, \
aioaws.resource("dynamodb") as dynamodb_resource, \
await items_table.new_batch_writer(dynamodb_resource) as batch_writer:
chunks = [json.loads(record["body"]) for record in event["Records"]]
await asyncio.gather(*[__process(chunk, s3_resource, batch_writer) for chunk in chunks])
batch_ids = {chunk["batchId"] for chunk in chunks}
await asyncio.gather(*[__check_if_complete(batch_id, s3_resource, sqs_client) for batch_id in batch_ids])
async def handle_event(event, lambda_context):
logger.info("Event: {}".format(json.dumps(event, indent=2)))
s3_object = __get_s3_object_from(event)
if s3_object is None:
logger.info("Is s3 test event. Skipping.")
return
batch_id = __extract_batch_id(s3_object[1])
async with trace("Scattering {}", batch_id):
async with aioaws.resource("s3") as s3_resource, aioaws.client("sqs") as sqs_client:
batch_doc = await input_bucket.read_batch_input(s3_object[0], s3_object[1], s3_resource)
validate_input(batch_doc)
records = batch_doc.get("records", [])
record_batch_started(batch_id)
await work_bucket.write_batch_status(batch_id, len(records), CHUNK_SIZE, s3_resource)
await __write_chunks(batch_id, records, s3_resource, sqs_client)
await input_bucket.delete_batch_input(s3_object[0], s3_object[1], s3_resource)
record_scatter_finished(batch_id, len(records))
async def handle_event(event, lambda_context):
logger.info("Event: {}".format(json.dumps(event, indent=2)))
s3_object = __get_s3_object_from(event)
if s3_object is None:
return
batch_id = __extract_batch_id(s3_object[1])
async with trace("Scattering {}", batch_id):
async with aioaws.resource("s3") as s3_resource, \
aioaws.client("sqs") as sqs_client, \
aioaws.resource("dynamodb") as dynamodb_resource:
batch_doc = await input_bucket.read_batch_input(
s3_object[0], s3_object[1], s3_resource)
validate_input(batch_doc)
records = batch_doc.get("records", [])
record_batch_started(batch_id)
await batch_status_table.put_batch_status(batch_id, len(records),
dynamodb_resource)
await __write_chunks_and_send_messages(batch_id, records,
dynamodb_resource,
sqs_client)
await input_bucket.delete_batch_input(s3_object[0], s3_object[1],
s3_resource)
record_scatter_finished(batch_id, len(records))