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submitJob.py
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submitJob.py
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# script to submit jobs to AWS Batch, queues and definitions are already existing and set up
import argparse
import random
import re
import sys
import time
from datetime import datetime
import boto3
from botocore.compat import total_seconds
from botocore.config import Config
job_type_info = {
'CI-CPU': {
'job_definition': 'graphstorm-definition-cpu',
'job_queue': 'graphstorm-queue-v2',
},
'CI-GPU': {
'job_definition': 'graphstorm-definition-gpu',
'job_queue': 'graphstorm-queue-v1',
},
'CI-GPU-DGL230': {
'job_definition': 'graphstorm-definition-gpu-dgl230',
'job_queue': 'graphstorm-queue-graphbolt',
},
'CI-LINT': {
'job_definition': 'graphstorm-definition-lint',
'job_queue': 'graphstorm-queue-lint',
},
'CI-CPU-PUSH': {
'job_definition': 'graphstorm-definition-cpu',
'job_queue': 'graphstorm-queue-v2',
},
'CI-GPU-PUSH': {
'job_definition': 'graphstorm-definition-gpu',
'job_queue': 'graphstorm-queue-v1',
},
'CI-LINT-PUSH': {
'job_definition': 'graphstorm-definition-lint',
'job_queue': 'graphstorm-queue-lint',
},
'CI-CPU-CHECK-PUSH': {
'job_definition': 'graphstorm-definition-check',
'job_queue': 'graphstorm-queue-lint',
},
'CI-CPU-CHECK': {
'job_definition': 'graphstorm-definition-check',
'job_queue': 'graphstorm-queue-lint',
},
'CI-GSProcessing-CHECK': {
'job_definition': 'graphstorm-gsprocessing-definition',
'job_queue': 'graphstorm-queue-v2',
}
}
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--profile', help='profile name of aws account.', type=str,
default=None)
parser.add_argument('--region', help='Default region when creating new connections', type=str,
default='us-east-1')
parser.add_argument('--name', help='name of the job', type=str, default='dummy')
parser.add_argument('--job-type', help='type of job to submit.', type=str,
choices=job_type_info.keys(), default='CI-CPU')
parser.add_argument('--command', help='command to run', type=str,
default='git rev-parse HEAD | tee stdout.log')
parser.add_argument('--wait', help='block wait until the job completes. '
'Non-zero exit code if job fails.', action='store_true')
parser.add_argument('--timeout', help='job timeout in seconds', default=10800, type=int)
parser.add_argument('--source-ref',
help='ref in Graphstorm main github. e.g. master, refs/pull/500/head',
type=str, default='main')
parser.add_argument('--remote',
help='git repo address. https://github.com/awslabs/graphstorm',
type=str, default="https://github.com/awslabs/graphstorm")
# parser.add_argument('--work-dir',
# help='working directory inside the repo. e.g. scripts/preprocess',
# type=str, default='scripts/preprocess')
args = parser.parse_args()
session = boto3.Session(profile_name=args.profile, region_name=args.region)
config = Config(
retries = dict(
max_attempts = 5
)
)
batch, cloudwatch = [session.client(service_name=sn, config=config) for sn in ['batch', 'logs']]
def printLogs(logGroupName, logStreamName, startTime):
kwargs = {'logGroupName': logGroupName,
'logStreamName': logStreamName,
'startTime': startTime,
'startFromHead': True}
lastTimestamp = startTime - 1
while True:
logEvents = cloudwatch.get_log_events(**kwargs)
for event in logEvents['events']:
lastTimestamp = event['timestamp']
timestamp = datetime.utcfromtimestamp(lastTimestamp / 1000.0).isoformat()
print('[{}] {}'.format((timestamp + '.000')[:23] + 'Z', event['message']))
nextToken = logEvents['nextForwardToken']
if nextToken and kwargs.get('nextToken') != nextToken:
kwargs['nextToken'] = nextToken
else:
break
return lastTimestamp
def nowInMillis():
endTime = int(total_seconds(datetime.utcnow() - datetime(1970, 1, 1))) * 1000
return endTime
def main():
spin = ['-', '/', '|', '\\', '-', '/', '|', '\\']
logGroupName = '/aws/batch/job' # This is the group where aws batch logs are stored in Cloudwatch
jobName = re.sub('[^A-Za-z0-9_\-]', '', args.name)[:128] # Enforce AWS Batch jobName rules
jobType = args.job_type
jobQueue = job_type_info[jobType]['job_queue']
jobDefinition = job_type_info[jobType]['job_definition']
wait = args.wait
# Printing actions parameters
print("GitHub SourceRef: ", args.source_ref)
print("GitHub Remote: ", args.remote)
parameters = {
# 'WORK_DIR': args.work_dir,
'COMMAND': f"\"{args.command}\"", # wrap command with double quotation mark, so that batch can treat it as a single command
'SOURCE_REF': args.source_ref,
'REMOTE': args.remote,
}
kwargs = dict(
jobName=jobName,
jobQueue=jobQueue,
jobDefinition=jobDefinition,
parameters=parameters,
)
if args.timeout is not None:
kwargs['timeout'] = {'attemptDurationSeconds': args.timeout}
submitJobResponse = batch.submit_job(**kwargs)
jobId = submitJobResponse['jobId']
print('Submitted job [{} - {}] to the job queue [{}]'.format(jobName, jobId, jobQueue))
spinner = 0
running = False
status_set = set()
startTime = 0
logStreamName = None
while wait:
time.sleep(10) # Wait for 10 seconds to fetch job data from batch service
describeJobsResponse = batch.describe_jobs(jobs=[jobId])
status = describeJobsResponse['jobs'][0]['status']
if status == 'SUCCEEDED' or status == 'FAILED':
if logStreamName:
startTime = printLogs(logGroupName, logStreamName, startTime) + 1
print('=' * 80)
print('Job [{} - {}] {}'.format(jobName, jobId, status))
sys.exit(status == 'FAILED')
elif status == 'RUNNING':
logStreamName = describeJobsResponse['jobs'][0]['container']['logStreamName']
if not running:
running = True
print('\rJob [{}, {}] is RUNNING.'.format(jobName, jobId))
if logStreamName:
print('Output [{}]:\n {}'.format(logStreamName, '=' * 80))
if logStreamName:
startTime = printLogs(logGroupName, logStreamName, startTime) + 1
elif status not in status_set:
status_set.add(status)
print('\rJob [%s - %s] is %-9s... %s' % (jobName, jobId, status, spin[spinner % len(spin)]),)
sys.stdout.flush()
spinner += 1
if __name__ == '__main__':
main()