def lambda_handler(event, context):
# Get ignore file list
ignore_list = []
try:
logger.info('Try to get ignore list from ssm parameter')
ignore_list = ssm.get_parameter(
Name=ssm_parameter_ignore_list)['Parameter']['Value'].splitlines()
logger.info(f'Get ignore list: {str(ignore_list)}')
except Exception:
logger.info(f'No ignore list in ssm parameter')
# Check SQS is empty or not
if check_sqs_empty(sqs, sqs_queue):
logger.info(
'Job sqs queue is empty, now process comparing s3 bucket...')
for bucket_para in load_bucket_para:
src_bucket = bucket_para['src_bucket']
src_prefix = bucket_para['src_prefix']
des_bucket = bucket_para['des_bucket']
des_prefix = bucket_para['des_prefix']
# Get List on S3
logger.info('Get source bucket')
src_file_list = get_src_file_list(s3_src_client, src_bucket,
src_prefix,
JobsenderCompareVersionId)
logger.info('Get destination bucket')
des_file_list = get_des_file_list(s3_des_client, des_bucket,
des_prefix, table,
JobsenderCompareVersionId)
# Generate job list
job_list, ignore_records = delta_job_list(
src_file_list, des_file_list, src_bucket, src_prefix,
des_bucket, des_prefix, ignore_list, JobsenderCompareVersionId)
# Upload jobs to sqs
if len(job_list) != 0:
job_upload_sqs_ddb(sqs, sqs_queue, job_list)
max_object = max(job_list, key=itemgetter('Size'))
MaxChunkSize = int(max_object['Size'] / 10000) + 1024
if max_object['Size'] >= 50 * 1024 * 1024 * 1024:
logger.warning(
f'Max object in job_list is {str(max_object)}. Remember to check instance memory >= '
f'MaxChunksize({MaxChunkSize}) x MaxThread x MaxParallelFile'
)
else:
logger.info(
'Source list are all in Destination, no job to send.')
else:
logger.error(
'Job sqs queue is not empty or fail to get_queue_attributes. Stop process.'
)
# Just backup for debug
logger.info('Writing job list to local file backup...')
t = time.localtime()
start_time = f'{t.tm_year}-{t.tm_mon}-{t.tm_mday}-{t.tm_hour}-{t.tm_min}-{t.tm_sec}'
log_path = os.path.split(
os.path.abspath(__file__))[0] + '/s3_migration_log'
if job_list:
local_backup_list = f'{log_path}/job-list-{src_bucket}-{start_time}.json'
with open(local_backup_list, 'w') as f:
json.dump(job_list, f)
logger.info(
f'Finish writing: {os.path.abspath(local_backup_list)}')
if ignore_records:
local_ignore_records = f'{log_path}/ignore-records-{src_bucket}-{start_time}.json'
with open(local_ignore_records, 'w') as f:
json.dump(ignore_records, f)
logger.info(
f'Finish writing: {os.path.abspath(local_ignore_records)}')
# Upload jobs to sqs
if len(job_list) != 0:
job_upload_sqs_ddb(sqs, sqs_queue, table, job_list)
else:
logger.info(
'Source list are all in Destination, no job to send.')
else:
logger.error(
'Job sqs queue is not empty or fail to get_queue_attributes. Stop process.'
)
print('Completed and logged to file:', os.path.abspath(log_file_name))
JobsenderCompareVersionId=JobsenderCompareVersionId)
# Generate job list
job_list, ignore_records = delta_job_list(
src_file_list=src_file_list,
des_file_list=des_file_list,
src_bucket=src_bucket,
src_prefix=src_prefix,
des_bucket=des_bucket,
des_prefix=des_prefix,
ignore_list=ignore_list,
JobsenderCompareVersionId=JobsenderCompareVersionId)
# Upload jobs to sqs
if len(job_list) != 0:
job_upload_sqs_ddb(sqs=sqs,
sqs_queue=sqs_queue,
job_list=job_list)
max_object = max(job_list, key=itemgetter('Size'))
MaxChunkSize = int(max_object['Size'] / 10000) + 1024
if MaxChunkSize < 5 * 1024 * 1024:
MaxChunkSize = 5 * 1024 * 1024
logger.warning(
f'Max object size in job_list: {max_object["Size"]}.\n Require instance memory'
f' > MaxChunksize x MaxThread x MaxParallelFile, i.e. '
f'{MaxChunkSize} x {MaxThread} x {MaxParallelFile} = '
f'{MaxChunkSize*MaxThread*MaxParallelFile}.\n If less memory, instance may crash!'
)
else:
logger.info(
'Source list are all in Destination, no job to send.')