def resume_instance(inst_ids, ec2):
"""인스턴스 재개."""
warning("resume_instance: '{}'".format(inst_ids))
# 권한 확인
try:
ec2.start_instances(InstanceIds=inst_ids, DryRun=True)
except botocore.exceptions.ClientError as e:
if 'DryRunOperation' not in str(e):
error(str(e))
raise
# 재개
while True:
try:
response = ec2.start_instances(InstanceIds=inst_ids, DryRun=False)
info(response)
except botocore.exceptions.ClientError as e:
msg = str(e)
if 'is not in a state' not in msg:
error(msg)
raise
time.sleep(5)
else:
break
def create_dask_cluster(ec2, clinfo):
"""Dask 클러스터 생성.
Args:
ec2 (botocore.client.EC2): boto EC2 client
clinfo (dict): 클러스터 정보
"""
clname = clinfo['name']
prefix = clinfo['profile'].get('instance_prefix')
critical("Create dask cluster '{}'.".format(clname))
clinfo['type'] = 'dask'
# 스케쥴러/워커 생성
tpl = clinfo['template']
scd = create_inst(ec2, tpl, 'scheduler', clname, prefix)[0]
wrks = create_inst(ec2, tpl, 'worker', clname, prefix)
winsts = clinfo['instance']['workers'] = []
# 사용 가능 상태까지 기다린 후 추가 정보 얻기.
info("Wait for instance to be running.")
scd = _wait_until_running(scd)
clinfo['instance']['scheduler'] = instance_info(scd)
for wrk in wrks:
wrk = _wait_until_running(wrk)
winsts.append(instance_info(wrk))
save_cluster_info(clinfo)
# ec2 생성 후 반환값의 `ncpu_options` 가 잘못오고 있어 여기서 요청.
if len(wrks) > 0:
# 첫 번째 워커의 ip
wip = _get_ip(winsts[0], clinfo['profile'].get('private_command'))
tpl['worker']['cpu_info'] = get_cpu_info(tpl['worker'], wip)
def read_profile(profile, params=None):
"""프로파일 읽기.
Args:
profile: 프로파일 명
params: 덮어쓸 패러미터 정보
Returns:
dict: 프로파일 정보
"""
info("read_profile {}".format(profile))
path = check_profile(profile)
with codecs.open(path, 'rb', encoding='utf-8') as f:
body = f.read()
pro = json.loads(body)
# 프로파일 내용 검증
validate_by_schema(pro)
# Override 패러미터가 있으면 적용
if params is not None:
override_cfg_by_params(pro, params)
# 덮어쓴 내용 검증
try:
validate_by_schema(pro)
except jsonschema.exceptions.ValidationError:
msgs = ["There is an incorrect parameter:"]
for param in params:
msgs.append(' {}'.format(param))
raise RuntimeError('\n'.join(msgs))
pro['name'] = os.path.basename(path)
return pro
def _wait_until_running(inst):
info(f"_wait_until_running: {inst}")
try:
inst.wait_until_running()
inst.load()
except Exception as e:
error(str(e))
raise e
return inst
def _get_run_python(path, params):
cmd = 'cd {} && '.format(NB_WORKDIR)
for key, value in _iter_run_param(params):
cmd += "{}={} ".format(key, value)
cmd += "python {}".format(path)
info("_get_run_python : {}".format(cmd))
return cmd
def start_dask_cluster(clinfo):
"""Dask 클러스터 마스터/워커를 시작."""
critical("Start dask scheduler & workers.")
private_command = clinfo.get('private_command')
# 스케쥴러 시작
stpl = clinfo['template']['scheduler']
user, private_key = stpl['ssh_user'], stpl['ssh_private_key']
scd = clinfo['instance']['scheduler']
sip = _get_ip(scd, private_command)
scd_dns = scd['private_dns_name']
cmd = "screen -S bilbo -d -m dask-scheduler"
send_instance_cmd(user, private_key, sip, cmd)
# AWS 크레덴셜 설치
setup_aws_creds(user, private_key, sip)
# 워커 실행 옵션 구하기
wrks = clinfo['instance']['workers']
wip = _get_ip(wrks[0], private_command)
info(" Get worker memory from '{}'".format(wip))
cmd = "free -b | grep 'Mem:' | awk '{print $2}'"
stdouts, _ = send_instance_cmd(user, private_key, wip, cmd)
memory = int(stdouts[0])
wtpl = clinfo['template']['worker']
nproc, nthread, memory = dask_worker_options(wtpl, memory)
# 결정된 옵션 기록
wtpl = clinfo['template']['worker']
wtpl['nproc'] = nproc
wtpl['nthread'] = nthread
wtpl['memory'] = memory
# 모든 워커들에 대해
user, private_key = wtpl['ssh_user'], wtpl['ssh_private_key']
for wrk in wrks:
wip = _get_ip(wrk, private_command)
# AWS 크레덴셜 설치
setup_aws_creds(user, private_key, wip)
# 워커 시작
opts = "--nprocs {} --nthreads {} --memory-limit {}".\
format(nproc, nthread, memory)
cmd = "screen -S bilbo -d -m dask-worker {}:8786 {}".\
format(scd_dns, opts)
warning(" Worker options: {}".format(opts))
send_instance_cmd(user, private_key, wip, cmd)
# Dask 스케쥴러의 대쉬보드 기다림
dash_url = 'http://{}:8787'.format(sip)
clinfo['dask_dashboard_url'] = dash_url
critical("Wait for Dask dashboard ready.")
try:
wait_until_connect(dash_url)
except Exception as e:
error(str(e))
raise e
def open_url(url, cldata):
"""지정된 또는 기본 브라우저로 URL 열기."""
info("open_url")
wb = webbrowser
if 'webbrowser' in cldata:
path = cldata['webbrowser']
info(" Using explicit web browser: {}".format(path))
webbrowser.register('explicit', None,
webbrowser.BackgroundBrowser(path))
wb = webbrowser.get('explicit')
wb.open(url)
def wait_until_connect(url, retry_count=60):
"""URL 접속이 가능할 때까지 기다림."""
info("wait_until_connect: {}".format(url))
for i in range(retry_count):
try:
urlopen(url, timeout=8)
return
except (HTTPError, URLError, timeout):
info("Can not connect to dashboard. Wait for a while.")
time.sleep(TRY_SLEEP)
raise ConnectionError()
def create_notebook(ec2, clinfo):
"""노트북 생성."""
critical("Create notebook.")
clname = clinfo['name']
prefix = clinfo['profile'].get('instance_prefix')
tpl = clinfo['template']
nb = create_inst(ec2, tpl, 'notebook', clname, prefix)[0]
info("Wait for notebook instance to be running.")
nb = _wait_until_running(nb)
clinfo['instance']['notebook'] = instance_info(nb)
save_cluster_info(clinfo)
def get_root_dm(ec2, iinfo):
"""AMI 별 원하는 크기의 디바이스 매핑 얻기."""
volsize = iinfo.get('vol_size')
if volsize is None:
return []
imgs = list(ec2.images.filter(ImageIds=[iinfo['ami']]))
if len(imgs) == 0:
raise ValueError("AMI {} does not exist.".format(iinfo['ami']))
rdev = imgs[0].root_device_name
dm = [{"DeviceName": rdev, "Ebs": {"VolumeSize": volsize}}]
info("get_root_dm: {}".format(dm))
return dm
def get_cpu_info(tpl, ip):
"""생성된 인스턴스에서 lscpu 명령으로 CPU 정보 얻기."""
info("get_cpu_info")
user = tpl['ssh_user']
private_key = tpl['ssh_private_key']
# Cores
cmd = "lscpu | grep -e ^CPU\(s\): | awk '{print $2}'"
res, _ = send_instance_cmd(user, private_key, ip, cmd)
num_core = int(res[0])
# Threads per core
cmd = "lscpu | grep Thread | awk '{print $4}'"
res, _ = send_instance_cmd(user, private_key, ip, cmd)
threads_per_core = int(res[0])
cpu_info = {'CoreCount': num_core, 'ThreadsPerCore': threads_per_core}
return cpu_info
def pause_instance(inst_ids):
"""인스턴스 정지."""
warning("pause_instance: '{}'".format(inst_ids))
ec2 = boto3.client('ec2')
# 권한 확인
try:
ec2.stop_instances(InstanceIds=inst_ids, DryRun=True)
except botocore.exceptions.ClientError as e:
if 'DryRunOperation' not in str(e):
error(str(e))
raise e
# 정지
try:
response = ec2.stop_instances(InstanceIds=inst_ids, DryRun=False)
info(response)
except botocore.exceptions.ClientError as e:
error(str(e))
def check_cluster(clname):
"""프로파일을 확인.
Args:
clname (str): 클러스터명 (.json 확장자 제외)
"""
info(f"check_cluster {clname}")
if clname.lower().endswith('.json'):
rname = '.'.join(clname.split('.')[0:-1])
msg = "Wrong cluster name '{}'. Use '{}' instead.". \
format(clname, rname)
raise NameError(msg)
# file existence
path = os.path.join(clust_dir, clname + '.json')
if not os.path.isfile(path):
error("Cluster '{}' does not exist.".format(path))
raise(FileNotFoundError(path))
return path
def _get_run_notebook(path, nb_params, cmd_params=None):
assert type(nb_params) in [list, tuple]
tname = next(tempfile._get_candidate_names())
tmp = '/tmp/{}'.format(tname)
elms = path.split('.')
out_path = '.'.join(elms[:-1]) + '.out.' + elms[-1]
cmd = "cd {} && ".format(NB_WORKDIR)
if cmd_params is not None:
assert type(cmd_params) in [list, tuple]
for key, value in _iter_run_param(cmd_params):
cmd += "{}={} ".format(key, value)
cmd += "papermill --cwd {} --no-progress-bar --stdout-file " \
"{} {} {}".format(NB_WORKDIR, tmp, path, out_path)
for key, value in _iter_run_param(nb_params):
cmd += " -p {} {}".format(key, value)
info("_get_run_notebook : {}".format(cmd))
return cmd, tmp
def stop_notebook_or_python(clname, path, params):
"""실행한 노트북/파이썬 파일을 중단."""
info("stop_notebook_or_python: {} - {}".format(clname, path))
check_cluster(clname)
clinfo = load_cluster_info(clname)
private_command = clinfo.get('private_command')
if 'notebook' not in clinfo:
raise RuntimeError("No notebook instance.")
ncfg = clinfo['notebook']
user, private_key = ncfg['ssh_user'], ncfg['ssh_private_key']
ip = _get_ip(ncfg, private_command)
ext = path.split('.')[-1].lower()
dask_scd_addr = _get_dask_scheduler_address(clinfo)
# 노트북 파일
if ext == 'ipynb':
# Run by papermill
_cmd, _ = _get_run_notebook(path, params, [dask_scd_addr])
_cmd = _cmd.replace('papermill', '[p]apermill')
# 파이썬 파일
elif ext == 'py':
params = list(params)
params.insert(0, dask_scd_addr)
_cmd = _get_run_python(path, params)
_cmd = _cmd.replace('python', '[p]ython')
else:
raise RuntimeError("Unsupported file type: {}".format(path))
# 실행된 프로세스 찾기
cmd = "ps auxww | grep '{}' | awk '{{print $2}}' | head -n 1".format(_cmd)
res, _ = send_instance_cmd(user, private_key, ip, cmd, show_stdout=False,
show_stderr=False)
# 프로세스가 있으면 삭제
if len(res) > 0:
proc = res[0].strip()
cmd = "pkill -P {}".format(proc)
info("Delete process: {}".format(cmd))
res, _ = send_instance_cmd(user, private_key, ip, cmd,
show_stderr=False)
else:
info("No process exists.")
def run_notebook_or_python(clname, path, params):
"""원격 노트북 인스턴스에서 노트북 또는 파이썬 파일 실행.
Returns:
tuple: (stdout, exit_code)
"""
info("run_notebook_or_python: {} - {}".format(clname, path))
check_cluster(clname)
clinfo = load_cluster_info(clname)
dask = 'type' in clinfo and clinfo['type'] == 'dask'
private_command = clinfo.get('private_command')
if 'notebook' not in clinfo['instance']:
raise RuntimeError("No notebook instance.")
ntpl = clinfo['template']['notebook']
user, private_key = ntpl['ssh_user'], ntpl['ssh_private_key']
nb = clinfo['instance']['notebook']
nip = _get_ip(nb, private_command)
ext = path.split('.')[-1].lower()
dask_scd_addr = None
if dask:
if 'scheduler' in clinfo['instance']:
dask_scd_addr = _get_dask_scheduler_address(clinfo)
else:
for param in params:
if param.startswith('DASK_SCHEDULER_ADDRESS'):
dask_scd_addr = param
assert dask_scd_addr is not None, "No Dask scheduler address available."
def _check_err(err):
err = '\n'.join(err)
if 'error' in err.lower():
print(err)
return True
return False
# 노트북 파일
if ext == 'ipynb':
cparams = []
if dask:
cparams.insert(0, dask_scd_addr)
# Run by papermill
cmd, tmp = _get_run_notebook(path, params, cparams)
res, err, excode = run_cmd_and_store_result(clname, user, private_key, nip, cmd,
show_stdout=True, show_stderr=False)
if not _check_err(err):
cmd = 'cat {}'.format(tmp)
res, err = send_instance_cmd(user, private_key, nip, cmd, show_stdout=True,
show_stderr=False)
if len(err) > 0 and 'No such file' not in err[0]:
_check_err(err)
# 파이썬 파일
elif ext == 'py':
params = list(params)
if dask:
params.insert(0, dask_scd_addr)
cmd = _get_run_python(path, params)
res, err, excode = run_cmd_and_store_result(clname, user, private_key, nip, cmd,
show_stdout=True)
_check_err(err)
else:
raise RuntimeError("Unsupported file type: {}".format(path))
return res, excode
def start_notebook(clinfo, retry_count=60):
"""노트북 시작.
Args:
clinfo (dict): 클러스터 생성 정보
retry_count (int): 접속 URL 얻기 재시도 수. 기본 10
Raises:
TimeoutError: 재시도 수가 넘을 때
"""
critical("Start notebook.")
tpl = clinfo['template']['notebook']
pro = clinfo['profile']
user, private_key = tpl['ssh_user'], tpl['ssh_private_key']
inst = clinfo['instance']['notebook']
ip = _get_ip(inst, pro.get('private_command'))
# AWS 크레덴셜 설치
setup_aws_creds(user, private_key, ip)
# 작업 폴더
nb_workdir = tpl.get('workdir', NB_WORKDIR)
cmd = "mkdir -p {}".format(nb_workdir)
send_instance_cmd(user, private_key, ip, cmd)
# git 설정이 있으면 설정
if 'notebook' in pro and 'git' in pro['notebook']:
nb_git = pro['notebook']['git']
cloned_dir = setup_git(nb_git, user, private_key, ip, nb_workdir)
clinfo['git_cloned_dir'] = cloned_dir
# 클러스터 타입별 노트북 설정
vars = ''
if 'type' in clinfo:
if clinfo['type'] == 'dask':
# dask-labextension을 위한 대쉬보드 URL
sip = clinfo['instance']['scheduler']['public_ip']
cmd = "mkdir -p ~/.jupyter/lab/user-settings/dask-labextension; "
cmd += 'echo \'{{ "defaultURL": "http://{}:8787" }}\' > ' \
'~/.jupyter/lab/user-settings/dask-labextension/' \
'plugin.jupyterlab-settings'.format(sip)
send_instance_cmd(user, private_key, ip, cmd)
# 스케쥴러 주소
vars = _get_dask_scheduler_address(clinfo)
else:
raise NotImplementedError()
# Jupyter 시작
ncmd = "cd {} && {} jupyter lab --ip 0.0.0.0".format(nb_workdir, vars)
cmd = "screen -S bilbo -d -m bash -c '{}'".format(ncmd)
send_instance_cmd(user, private_key, ip, cmd)
# 접속 URL 얻기
cmd = "jupyter notebook list | awk '{print $1}'"
for i in range(retry_count):
stdouts, _ = send_instance_cmd(user, private_key, ip, cmd)
# url을 얻었으면 기록
if len(stdouts) > 1 and len(stdouts[1]) > 0:
url = stdouts[1].strip().replace('0.0.0.0', inst['public_ip'])
clinfo['notebook_url'] = url
return
info("Can not fetch notebook list. Wait for a while.")
time.sleep(TRY_SLEEP)
raise TimeoutError("Can not get notebook url.")
def send_instance_cmd(ssh_user, ssh_private_key, ip, cmd,
show_stdout=False, show_stderr=True, retry_count=30,
get_excode=False):
"""인스턴스에 SSH 명령어 실행
https://stackoverflow.com/questions/42645196/how-to-ssh-and-run-commands-in-ec2-using-boto3
Args:
ssh_user (str): SSH 유저
ssh_private_key (str): SSH Private Key 경로
ip (str): 대상 인스턴스의 IP
cmd (list): 커맨드 문자열 리스트
show_stdout (bool): 표준 출력 메시지 출력 여부
show_stderr (bool): 에러 메시지 출력 여부
retry_count (int): 재시도 횟수
get_excode (bool): exit code 체크 여부. 기본 False
Returns:
tuple: send_command 함수의 결과. get_excode 를 하지 않는 경우는
stdout, stderr. 하는 경우는 stdout, stderr, exit_code
"""
info('send_instance_cmd - user: {}, key: {}, ip {}, cmd {}'
.format(ssh_user, ssh_private_key, ip, cmd))
key_path = expanduser(ssh_private_key)
key = paramiko.RSAKey.from_private_key_file(key_path)
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
connected = False
for i in range(retry_count):
try:
client.connect(hostname=ip, username=ssh_user, pkey=key)
except (paramiko.ssh_exception.NoValidConnectionsError,
TimeoutError, BlockingIOError):
warning("Connection failed to '{}'. Retry after a while.".
format(ip))
time.sleep(TRY_SLEEP)
else:
connected = True
break
if not connected:
error("Connection failed to '{}'".format(ip))
return
stdouts = []
stderrs = []
done_file = '/tmp/bilbo_rcmd_done'
if get_excode:
# embed exit code file
cmd = f"rm -f {done_file} && " + cmd + f" ; echo $? > {done_file}"
# 인터랙티브 모드
transport = client.get_transport()
transport.set_keepalive(60)
channel = transport.open_session()
channel.exec_command(cmd)
while True:
time.sleep(0.1)
if channel.recv_ready():
recv = channel.recv(4096).decode('utf-8')
stdouts.append(recv)
if show_stdout:
print(recv, end="")
if channel.recv_stderr_ready():
recv = channel.recv_stderr(4096).decode('utf-8')
stderrs.append(recv)
if channel.exit_status_ready():
break
stdouts = ''.join(stdouts).split('\n')
stderr = ''.join(stderrs)
if show_stderr and len(stderr) > 0:
error(stderr)
client.close()
if get_excode:
ccmd = f'if [ -f {done_file} ]; then cat {done_file}; fi'
out, _= send_instance_cmd(ssh_user, ssh_private_key, ip, ccmd)
try:
excode = int(out[0])
except ValueError:
excode = -1
return stdouts, stderr, excode
else:
return stdouts, stderr
