def lambda_handler(event, context):
try:
team = os.environ['TEAM']
pipeline = os.environ['PIPELINE']
dataset = event['dataset']
stage = os.environ['STAGE']
state_config = StateMachineConfiguration(team, pipeline, stage)
sqs_config = SQSConfiguration(team, dataset, stage)
dlq_interface = SQSInterface(sqs_config.get_stage_dlq_name)
messages = dlq_interface.receive_messages(1)
if not messages:
logger.info('No messages found in {}'.format(
sqs_config.get_stage_dlq_name))
return
logger.info('Received {} messages'.format(len(messages)))
for message in messages:
logger.info('Starting State Machine Execution')
if isinstance(message.body, str):
response = json.loads(message.body)
StatesInterface().run_state_machine(
state_config.get_stage_state_machine_arn, response)
message.delete()
logger.info('Delete message succeeded')
except Exception as e:
logger.error("Fatal error", exc_info=True)
raise e
return
def lambda_handler(event, context):
try:
if isinstance(event, str):
event = json.loads(event)
sqs_config = SQSConfiguration(event['team'], event['pipeline'],
event['pipeline_stage'])
sqs_interface = SQSInterface(sqs_config.get_stage_dlq_name)
logger.info('Execution Failed. Sending original payload to DLQ')
sqs_interface.send_message_to_fifo_queue(json.dumps(event), 'failed')
except Exception as e:
logger.error("Fatal error", exc_info=True)
raise e
return
def lambda_handler(event, context):
try:
sqs_config = SQSConfiguration(
os.environ['TEAM'], os.environ['PIPELINE'], os.environ['STAGE'])
dlq_interface = SQSInterface(sqs_config.get_stage_dlq_name)
messages = dlq_interface.receive_messages(1)
if not messages:
logger.info('No messages found in {}'.format(
sqs_config.get_stage_dlq_name))
return
logger.info('Received {} messages'.format(len(messages)))
queue_interface = SQSInterface(sqs_config.get_stage_queue_name)
for message in messages:
queue_interface.send_message_to_fifo_queue(message.body, 'redrive')
message.delete()
logger.info('Delete message succeeded')
except Exception as e:
logger.error("Fatal error", exc_info=True)
raise e
return
def lambda_handler(event, context):
try:
logger.info('Fetching event data from previous step')
processed_keys = event['body']['keysToProcess']
team = event['body']['team']
pipeline = event['body']['pipeline']
stage = event['body']['pipeline_stage']
dataset = event['body']['dataset']
bucket = event['body']['bucket']
logger.info('Initializing DynamoDB config and Interface')
dynamo_config = DynamoConfiguration()
dynamo_interface = DynamoInterface(dynamo_config)
wlm_ddb_table = dynamo_interface.wlm_control_table
item = dynamo_interface.get_item(wlm_ddb_table, {"name":"{}-{}-{}".format(team, dataset,processed_keys[0].split("/")[-2])})
priority = item.get('priority', None)
print(priority)
print(''.join(
[stage[:-1], chr(ord(stage[-1]))]))
logger.info('Sending messages to right priority SQS queue')
sqs_config = SQSConfiguration(team, dataset, ''.join(
[stage[:-1], chr(ord(stage[-1]))]), priority) #Workload management changes
sqs_interface = SQSInterface(sqs_config.get_stage_queue_name_wlm) #Workload management changes
sqs_interface.send_message_to_fifo_queue(json.dumps(event), '{}-{}'.format(team, dataset))
logger.info("lambda Completed")
return {
'statusCode': 200
}
except Exception as e:
raise e
def lambda_handler(event, context):
"""Checks if any items need processing and triggers state machine
Arguments:
event {dict} -- Dictionary with no relevant details
context {dict} -- Dictionary with details on Lambda context
"""
# TODO Implement Redrive Logic (through message_group_id)
try:
team = event['team']
pipeline = event['pipeline']
stage = event['pipeline_stage']
dataset = event['dataset']
org = event['org']
app = event['app']
env = event['env']
stage_bucket = S3Configuration().stage_bucket
sqs_config = SQSConfiguration(team, dataset, stage)
#Workload management changes
#---------------------------
#---------------------------
max_sfn_executions = 3
state_config = StateMachineConfiguration(team, pipeline, stage)
STEPFUNCTION_ARN = state_config.get_stage_state_machine_arn
#SFN processing code
#---------------------------------
executions = StatesInterface().list_state_executions(
STEPFUNCTION_ARN, 'RUNNING', 50)
current_sfn_exeuction = len(executions)
logger.info(f"current_sfn_exeuctions:{current_sfn_exeuction}")
if (current_sfn_exeuction < max_sfn_executions):
sfn_available_slots = max_sfn_executions - current_sfn_exeuction
logger.info(f"sfn_available_slots:{sfn_available_slots}")
else:
logger.info("No step function slot empty ----- exiting")
return
#-----------------------------------
keys_to_process = []
#Dynamically manging workload from different priority queues
#------------------------------------
for priority in ["HIGH", "LOW"]: #high=10 #low=30 sfn slots=40
print(priority)
sqs_config = SQSConfiguration(team, dataset, stage, priority)
queue_interface = SQSInterface(sqs_config.get_stage_queue_name_wlm)
message_queue = queue_interface._message_queue
num_messages_queue = int(
message_queue.attributes['ApproximateNumberOfMessages'])
logger.info(
f"Number of messages in {message_queue}:{num_messages_queue}")
if (num_messages_queue == 0):
logger.info(
f"Not enough messages in {message_queue}, trying next prority queue"
)
else:
if (num_messages_queue >= sfn_available_slots
): #Example 40>20 12>8 for high priority sqs
num_messages_queue = sfn_available_slots
keys_to_process = queue_interface.wlm_receive_max_messages(
keys_to_process, num_messages_queue)
logger.info(f"messages:{keys_to_process}")
sfn_available_slots = sfn_available_slots - num_messages_queue
logger.info(f"sfn_available_slots:{sfn_available_slots}")
if (sfn_available_slots == 0):
break
#-------------------------------------
#Running step function for processed messages
#--------------------------------------
if (len(keys_to_process) > 0):
for key in keys_to_process:
response = {
'statusCode': 200,
'body': {
"bucket": stage_bucket,
"keysToProcess": [key],
"team": team,
"pipeline": pipeline,
"pipeline_stage": stage,
"dataset": dataset,
"org": org,
"app": app,
"env": env
}
}
StatesInterface().run_state_machine(
state_config.get_stage_state_machine_arn, response)
logger.info(
f"{len(keys_to_process)} messages sent to step function ")
else:
logger.info(f"Not enough messages in any queue --- exiting")
#----------------------------------------
#---------------------------------------
except Exception as e:
# If failure send to DLQ
if keys_to_process:
for key in keys_to_process:
dlq_interface = SQSInterface(sqs_config.get_stage_dlq_name)
dlq_interface.send_message_to_fifo_queue(
json.dumps(key), 'failed')
logger.error("Fatal error", exc_info=True)
raise e
return
def lambda_handler(event, context):
"""Updates the S3 objects metadata catalog
Arguments:
event {dict} -- Dictionary with details on previous processing step
context {dict} -- Dictionary with details on Lambda context
Returns:
{dict} -- Dictionary with outcome of the process
"""
try:
logger.info('Fetching event data from previous step')
processed_keys = event['body']['processedKeys']
team = event['body']['team']
pipeline = event['body']['pipeline']
stage = event['body']['pipeline_stage']
dataset = event['body']['dataset']
peh_id = event['body']['peh_id']
logger.info('Initializing Octagon client')
component = context.function_name.split('-')[-2].title()
octagon_client = (octagon.OctagonClient().with_run_lambda(
True).with_configuration_instance(event['body']['env']).build())
peh.PipelineExecutionHistoryAPI(
octagon_client).retrieve_pipeline_execution(peh_id)
logger.info('Initializing DynamoDB config and Interface')
dynamo_config = DynamoConfiguration()
dynamo_interface = DynamoInterface(dynamo_config)
logger.info('Storing metadata to DynamoDB')
bucket = S3Configuration().stage_bucket
for key in processed_keys:
object_metadata = {
'bucket': bucket,
'key': key,
'size': S3Interface().get_size(bucket, key),
'last_modified_date':
S3Interface().get_last_modified(bucket, key),
'org': event['body']['org'],
'app': event['body']['app'],
'env': event['body']['env'],
'team': team,
'pipeline': pipeline,
'dataset': dataset,
'stage': 'stage',
'pipeline_stage': stage,
'peh_id': peh_id
}
dynamo_interface.update_object_metadata_catalog(object_metadata)
#Workload management changes
#---------------------------
wlm_ddb_table = dynamo_interface.wlm_control_table
item = dynamo_interface.get_item(
wlm_ddb_table, {
"name":
"{}-{}-{}".format(team, dataset,
processed_keys[0].split("/")[-2])
})
priority = item.get('priority', None)
print(priority)
#---------------------------
logger.info('Sending messages to next SQS queue if it exists')
sqs_config = SQSConfiguration(team, dataset, ''.join(
[stage[:-1], chr(ord(stage[-1]) + 1)]),
priority) #Workload management changes
sqs_interface = SQSInterface(
sqs_config.get_stage_queue_name_wlm) #Workload management changes
sqs_interface.send_batch_messages_to_fifo_queue(
processed_keys, 10, '{}-{}'.format(team, dataset))
octagon_client.update_pipeline_execution(
status="{} {} Processing".format(stage, component),
component=component)
octagon_client.end_pipeline_execution_success()
except Exception as e:
logger.error("Fatal error", exc_info=True)
octagon_client.end_pipeline_execution_failed(
component=component,
issue_comment="{} {} Error: {}".format(stage, component, repr(e)))
raise e
return 200
def lambda_handler(event, context):
"""Updates the S3 objects metadata catalog
Arguments:
event {dict} -- Dictionary with details on Bucket and Keys
context {dict} -- Dictionary with details on Lambda context
Returns:
{dict} -- Dictionary with response
"""
def replace_decimals(obj):
if isinstance(obj, list):
for i in range(len(obj)):
obj[i] = replace_decimals(obj[i])
return obj
elif isinstance(obj, dict):
for k, v in obj.items():
obj[k] = replace_decimals(v)
return obj
elif isinstance(obj, set):
return set(replace_decimals(i) for i in obj)
elif isinstance(obj, decimal.Decimal):
if obj % 1 == 0:
return int(obj)
else:
return float(obj)
else:
return obj
def get_table_partitions(db, tbl):
glue_response = glue_client.get_table(DatabaseName=db, Name=tbl)
logger.debug('Glue get_table response: {}'.format(glue_response))
return glue_response['Table']['PartitionKeys']
try:
logger.info('Fetching event data from previous step')
bucket = event['body']['bucket']
processed_keys_path = event['body']['job']['processedKeysPath']
processed_keys = S3Interface().list_objects(bucket,
processed_keys_path)
team = event['body']['team']
pipeline = event['body']['pipeline']
stage = event['body']['pipeline_stage']
dataset1 = event['body']['dataset']
peh_id = event['body']['job']['peh_id']
env = event['body']['env']
logger.info('Initializing Octagon client')
component = context.function_name.split('-')[-2].title()
octagon_client = (octagon.OctagonClient().with_run_lambda(
True).with_configuration_instance(event['body']['env']).build())
peh.PipelineExecutionHistoryAPI(
octagon_client).retrieve_pipeline_execution(peh_id)
logger.info('Initializing DynamoDB config and Interface')
dynamo_config = DynamoConfiguration()
dynamo_interface = DynamoInterface(dynamo_config)
logger.info(
'Storing metadata to DynamoDB and tagging resulting S3 Objects')
for key in processed_keys:
object_metadata = {
'bucket': bucket,
'key': key,
'size': S3Interface().get_size(bucket, key),
'last_modified_date':
S3Interface().get_last_modified(bucket, key),
'org': event['body']['org'],
'app': event['body']['app'],
'env': event['body']['env'],
'team': team,
'pipeline': pipeline,
'dataset': dataset1,
'stage': 'stage',
'pipeline_stage': stage,
'peh_id': peh_id
}
dynamo_interface.update_object_metadata_catalog(object_metadata)
tag_keys = ['org', 'app', 'env', 'team', 'dataset']
tag_dict = {key: object_metadata[key] for key in tag_keys}
S3Interface().tag_object(bucket, key, tag_dict)
# Only uncomment if a queue for the next stage exists
# logger.info('Sending messages to next SQS queue if it exists')
# sqs_config = SQSConfiguration(team, dataset, ''.join([stage[:-1], chr(ord(stage[-1]) + 1)]))
# sqs_interface = SQSInterface(sqs_config.get_stage_queue_name)
# sqs_interface.send_batch_messages_to_fifo_queue(processed_keys, 10, '{}-{}'.format(team, dataset))
prestage_table = event['body']['dest_table']['name']
prestage_db = event['body']['dest_db']
dest_part_name = event['body']['dest_table']['part_name']
dest_part_value = event['body']['dest_table']['part_value']
processOutput = {}
if dest_part_name is not '' and dest_part_value is not '':
partitions = []
part_dict = {"name": dest_part_name, "value": dest_part_value}
partitions.append(part_dict)
processOutput['partitions'] = partitions
processOutput['processed_keys'] = processed_keys
ssmresponse = ssmcli.get_parameter(
Name=f'/SDLF/DDB/{team}/{pipeline}/DependenciesByTable')
ddb_dependencies_by_table = ssmresponse['Parameter']['Value']
ddb_table = dynamodb.Table(ddb_dependencies_by_table)
ssmresponse = ssmcli.get_parameter(
Name=f'/SDLF/DDB/{team}/{pipeline}/Dependencies')
ddb_dependencies = ssmresponse['Parameter']['Value']
consulta = f'{prestage_db.lower()}.{prestage_table.lower()}'
logger.info(consulta)
response = ddb_table.get_item(Key={'table_name': consulta})
logger.info(f'Response {response}')
if 'Item' in response:
list_transforms = response['Item']['list_transforms']
num_of_transforms = len(list_transforms)
logger.debug(f'Response {response}')
logger.info(f'This table triggers {num_of_transforms} datasets')
next_stage = 'B'
stage_b_message = {}
for dataset in list_transforms:
ddb_steps = dynamodb.Table(ddb_dependencies)
logger.info(dataset)
response = ddb_steps.get_item(Key={'dataset': dataset})
logger.info(f'Response {response}')
num_of_transforms = len(list_transforms)
item = response['Item']
dest_table = item['dataset'].split('.')[1]
dest_db = item['dataset'].split('.')[0]
dependencies = item['dependencies']
date_substitutions = replace_decimals(
item.get('date_substitutions', []))
logger.info(f'Dependencies: {dependencies}')
partition = item.get('partitionColumn', '')
partition_mask = item.get('partitionPythonMask', None)
partition_value_formatted = None
table_check = []
for table in dependencies:
table_name = table['TableName'].split('.')[1]
table_db = table['TableName'].split('.')[0]
table_partition = table.get('FieldColumn', '')
table_partition_format = table.get('DateExpression', None)
relativedelta_attributes = replace_decimals(
table.get('relativedelta_attributes', None))
table_partitions = processOutput.get('partitions', [])
usage = table.get('Usage', 'validate').lower()
if usage == 'validate':
if prestage_db == table_db and prestage_table == table_name:
logger.info(
f'This table does not update/overwrite {dataset} dataset'
)
break
else:
logger.debug(
f'Table {table_db}.{table_name} is not the trigger table'
)
else:
if prestage_db.lower() == table_db.lower(
) and prestage_table.lower() == table_name.lower():
# dst_tbl_partitions = get_table_partitions(prestage_db,prestage_table)
partition_value_formatted = ''
# If dest table has partitions and source table has partitions
logger.debug(
f'Partition: {partition}, table_partitions: {table_partitions}'
)
if table_partitions and table_partition_format is not None:
table_partition_value = table_partitions[0][
'value']
value = datetime.strptime(
table_partition_value,
table_partition_format)
target_value = value - relativedelta(
**relativedelta_attributes)
partition_value_formatted = target_value.strftime(
partition_mask)
logger.info(
f'This table {usage.upper()} dataset {dest_table} '
f' Partition {partition} = {partition_value_formatted}'
)
# validate(table_db, table_name, table_partitions)
stage_b_message[
'prev_stage_processed_keys'] = processed_keys
stage_b_message['team'] = team
stage_b_message['pipeline'] = pipeline
stage_b_message['pipeline_stage'] = ''.join(
[stage[:-1], next_stage])
stage_b_message['dataset'] = dataset1
stage_b_message['org'] = event['body']['org']
stage_b_message['app'] = event['body']['app']
stage_b_message['env'] = event['body']['env']
stage_b_message['behaviour'] = table[
'Usage'].lower()
stage_b_message['dest_db'] = dest_db
stage_b_message['dest_table'] = {}
stage_b_message['dest_table']['name'] = dest_table
stage_b_message['dest_table'][
'part_name'] = partition
stage_b_message['dest_table'][
'part_value'] = partition_value_formatted
stage_b_message['steps'] = item['steps']
stage_b_message[
'date_substitutions'] = date_substitutions
logger.info(
'Sending messages to next SQS queue if it exists'
)
# GEt queue by SSM
logger.info(stage_b_message)
sqs_config = SQSConfiguration(
team, pipeline, stage)
sqs_interface = SQSInterface(
sqs_config.get_stage_queue_name)
sqs_interface.send_message_to_fifo_queue(
json.dumps(stage_b_message),
'{}-{}'.format(team, pipeline))
break
else:
logger.info(f'This table triggers 0 datasets')
octagon_client.update_pipeline_execution(
status=f'{stage} {component} Processing', component=component)
octagon_client.end_pipeline_execution_success()
except Exception as e:
logger.error("Fatal error", exc_info=True)
octagon_client.end_pipeline_execution_failed(
component=component,
issue_comment=f'{stage} {component} Error: {repr(e)}')
raise e
return 200
def lambda_handler(event, context):
"""Checks if any items need processing and triggers state machine
Arguments:
event {dict} -- Dictionary with no relevant details
context {dict} -- Dictionary with details on Lambda context
"""
# TODO Implement Redrive Logic (through message_group_id)
try:
team = event['team']
pipeline = event['pipeline']
stage = event['pipeline_stage']
dataset = event['dataset']
org = event['org']
app = event['app']
env = event['env']
stage_bucket = S3Configuration().stage_bucket
dynamo_config = DynamoConfiguration()
dynamo_interface = DynamoInterface(dynamo_config)
transform_info = dynamo_interface.get_transform_table_item(
'{}-{}'.format(team, dataset))
MIN_ITEMS_TO_PROCESS = int(
transform_info['min_items_process']['stage_{}'.format(
stage[-1].lower())])
MAX_ITEMS_TO_PROCESS = int(
transform_info['max_items_process']['stage_{}'.format(
stage[-1].lower())])
sqs_config = SQSConfiguration(team, dataset, stage)
queue_interface = SQSInterface(sqs_config.get_stage_queue_name)
keys_to_process = []
logger.info('Querying {}-{} objects waiting for processing'.format(
team, dataset))
keys_to_process = queue_interface.receive_min_max_messages(
MIN_ITEMS_TO_PROCESS, MAX_ITEMS_TO_PROCESS)
# If no keys to process, break
if not keys_to_process:
return
logger.info('{} Objects ready for processing'.format(
len(keys_to_process)))
keys_to_process = list(set(keys_to_process))
response = {
'statusCode': 200,
'body': {
"bucket": stage_bucket,
"keysToProcess": keys_to_process,
"team": team,
"pipeline": pipeline,
"pipeline_stage": stage,
"dataset": dataset,
"org": org,
"app": app,
"env": env
}
}
logger.info('Starting State Machine Execution')
state_config = StateMachineConfiguration(team, pipeline, stage)
StatesInterface().run_state_machine(
state_config.get_stage_state_machine_arn, response)
except Exception as e:
# If failure send to DLQ
if keys_to_process:
dlq_interface = SQSInterface(sqs_config.get_stage_dlq_name)
dlq_interface.send_message_to_fifo_queue(json.dumps(response),
'failed')
logger.error("Fatal error", exc_info=True)
raise e
return