def update_usage_stats(app, job_id):
if not job_id:
return False
print "Updating usage_stats"
try:
cmd = [
"/home/ubuntu/task_engine/system_stats.sh",
"{0}".format(time.time())
]
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE)
out, err = proc.communicate()
except Exception as e:
print "Failed to run system_stats.sh"
print "Caught exception : {0}".format(e)
return
cm.update_creds_from_metadata_server(app)
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
old = record.get("usage_stats", "")
current = old + out.strip('\n')
st = update_record(record, "usage_stats", current)
return
def retract_job(jobid):
session = bottle.request.environ.get('beaker.session')
conf_man.update_creds_from_metadata_server(request.app)
record = dutils.dynamodb_get(request.app.config["dyno.conn"], jobid)
print record['username']
if record['username'] == session["username"]:
print "Username matches"
else:
return template(
'./views/error.tpl',
error_str=
"You are not the owner of this job :{0} \nInsufficient permissions to retract job"
.format(jobid),
session=session)
record["i_ispublished"] = '0'
record.save(overwrite=True)
return template("./views/retract_confirm.tpl",
job_id=jobid,
title="Retract Confirmation",
session=session)
def update_job_for_publish(request, job_id):
print "Updating job for publish"
record = dutils.dynamodb_get(request.app.config["dyno.conn"], job_id)
record["i_ispublished"] = '1'
record["jobname"] = request.POST.get('jobname').strip()
record["description"] = request.POST.get('jobdesc').strip()
record["publishdate"] = str(time.strftime('%Y-%m-%d %H:%M:%S'))
record.save(overwrite=True)
return True
def update_job_for_publish(request, job_id):
print "Updating job for publish"
record = dutils.dynamodb_get(request.app.config["dyno.conn"], job_id)
record["i_ispublished"] = '1'
record["jobname"] = request.POST.get('jobname').strip()
record["description"] = request.POST.get('jobdesc').strip()
record["publishdate"] = str(time.strftime('%Y-%m-%d %H:%M:%S'))
record.save(overwrite=True)
return True
def cancel_task(app, jobid):
debug_print("Cancelling task : {0}".format(jobid))
record = dutils.dynamodb_get(app.config["dyno.conn"], jobid)
tstamp = str(time.strftime('%Y-%m-%d %H:%M:%S'))
update_record(record, "status", "cancelled")
update_record(record, "reason", "User request cancel")
update_record(record, "cancel_time", tstamp)
debug_print ("{0} - {1} - {2}".format(record["job_id"], record["status"], record["reason"]))
return True
def cancel_task(app, jobid):
debug_print("Cancelling task : {0}".format(jobid))
record = dutils.dynamodb_get(app.config["dyno.conn"], jobid)
tstamp = str(time.strftime("%Y-%m-%d %H:%M:%S"))
update_record(record, "status", "cancelled")
update_record(record, "reason", "User request cancel")
update_record(record, "cancel_time", tstamp)
debug_print("{0} - {1} - {2}".format(record["job_id"], record["status"], record["reason"]))
return True
def status_task(app, jobid):
debug_print("Status task : {0}".format(jobid))
record = dutils.dynamodb_get(app.config["dyno.conn"], jobid)
status = {}
if GLOBAL_VERBOSE:
for item in record.items():
print "|{0:10} | {1:50}".format(item[0], item[1])
print record["status"]
return record["status"]
def status_task(app, jobid):
debug_print("Status task : {0}".format(jobid))
record = dutils.dynamodb_get(app.config["dyno.conn"], jobid)
status = {}
if GLOBAL_VERBOSE:
for item in record.items():
print "|{0:10} | {1:50}".format(item[0], item[1])
print record["status"]
return record["status"]
def check_if_cancelled(app, job_id):
if not job_id :
return False
print "Statecheck"
cm.update_creds_from_metadata_server(app)
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
if record["status"] == "cancelled":
print "Cancelled"
return True
print "Job not cancelled"
return False
def check_if_cancelled(app, job_id):
if not job_id:
return False
print "Statecheck"
cm.update_creds_from_metadata_server(app)
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
if record["status"] == "cancelled":
print "Cancelled"
return True
print "Job not cancelled"
return False
def update_usage_stats(app, job_id):
if not job_id :
return False
print "Updating usage_stats"
try:
cmd = ["/home/ubuntu/task_engine/system_stats.sh", "{0}".format(time.time())]
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE)
out, err = proc.communicate()
except Exception as e:
print "Failed to run system_stats.sh"
print "Caught exception : {0}".format(e)
return
cm.update_creds_from_metadata_server(app)
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
old = record.get("usage_stats", "")
current = old + out.strip('\n')
st = update_record(record, "usage_stats", current)
return
def retract_job(jobid):
session = bottle.request.environ.get('beaker.session')
conf_man.update_creds_from_metadata_server(request.app)
record = dutils.dynamodb_get(request.app.config["dyno.conn"], jobid)
print record['username']
if record['username'] == session["username"]:
print "Username matches"
else:
return template('./views/error.tpl',
error_str="You are not the owner of this job :{0} \nInsufficient permissions to retract job".format(jobid),
session=session)
record["i_ispublished"] = '0'
record.save(overwrite=True)
return template("./views/retract_confirm.tpl",
job_id=jobid,
title="Retract Confirmation",
session=session)
def watch_loop(app):
"""
Watch_loop looks at the definition of the autoscaling_groups and the active queues
to determine whether :
1. An instance needs to be removed from the scaling group and terminated
2. A task has been in the active queue for long and appears to have timed out
and needs to be moved to the pending queue, for re-attempt.
Why would a task fail ?
-> Hard error in task causes worker to fail
-> Instance was lost mid run
"""
status = conf_man.update_creds_from_metadata_server(app)
stack_name = app.config["instance.tags"]["aws:cloudformation:stack-name"]
autoscale = get_autoscale_info(app, stack_name)
print autoscale
# Select all relevant queues in our cloudformation stack
queues = [
q for q in app.config["sqs.conn"].get_all_queues()
if q.name.startswith(stack_name)
]
# Select only the active queues
active_q = [q for q in queues if "Active" in q.name]
pending_q = [q for q in queues if "Active" not in q.name]
for q in active_q:
print "Active queue : ", q.name
qtype = None
if "Test" in q.name:
qtype = "test"
elif "Prod" in q.name:
qtype = "prod"
else:
logging.error("Unknown queue : ".format(q.name))
break
# Find the corresponding pending queue to the current active queue
p_q = None
p_qs = [pq for pq in pending_q if qtype in pq.name.lower()]
if len(p_qs) == 1:
p_q = p_qs[0]
print "Pending queue : {0}".format(p_q)
else:
logging.error("Found too many pending queues : {0}".format(p_qs))
exit(0)
print "Instances in this group : ", autoscale[qtype]["instances"]
for i in autoscale[qtype]["instances"]:
print i.health_status
print i.lifecycle_state
while (1):
"""
Here we get all messages in the current queue and check the following conditions:
1. No more messages to check -> Break
2. If messages exists
-> Check if it is a kill_request.
-> Kill the instance and decrement the autoscale group desired count
->
"""
messages = q.get_messages(num_messages=10,
visibility_timeout=2,
wait_time_seconds=1,
message_attributes=['All'])
if not messages:
break
for msg in messages:
# Check if message is a kill_request
if msg.message_attributes["job_id"][
"string_value"] == "kill_request":
logging.info("Received a kill_request from : ".format(
msg.message_attributes["instance_id"]["string_value"]))
# Are there more machines than the minimum
if autoscale[qtype]["current"] > autoscale[qtype]["min"]:
logging.info(
"Instances in autoscale group current:{0} > min:{1}"
.format(autoscale[qtype]["current"],
autoscale[qtype]["min"]))
logging.info("Kill : {0}".format(
msg.message_attributes["instance_id"]
["string_value"]))
kill_instance(
app, msg.message_attributes["instance_id"]
["string_value"], autoscale[qtype])
q.delete_message(msg)
# Message is a regular job
else:
# We do not have excess machines. So no kill requests need to be made.
# However the message needs to be deleted
logging.info("Kill request ignored: {0}".format(
msg.message_attributes["instance_id"]
["string_value"]))
q.delete_message(msg)
# If message is not a kill_request it is an active job.
# Check if job has timed-out or the machine it is running on has
# accidentally terminated
else:
job_id = msg.message_attributes["job_id"]["string_value"]
instance_id = msg.message_attributes["instance_id"][
"string_value"]
try:
record = dutils.dynamodb_get(app.config["dyno.conn"],
job_id)
except Exception, e:
logging.debug(
"JOb {0} not found in dynamodb \nDeleting the message"
)
q.delete_message(msg)
record = None
if record and record["status"] in ["completed", "failed"]:
logging.debug(
"Job {0} is {1} -> Deleting the active job message"
.format(job_id, record["status"]))
q.delete_message(msg)
else:
logging.debug(
"Job_id: {0} Active on Instance: {1}".format(
job_id, instance_id))
check_job_status(app, msg, job_id, instance_id,
autoscale[qtype], q, p_q)
def watch_loop(app):
"""
Watch_loop looks at the definition of the autoscaling_groups and the active queues
to determine whether :
1. An instance needs to be removed from the scaling group and terminated
2. A task has been in the active queue for long and appears to have timed out
and needs to be moved to the pending queue, for re-attempt.
Why would a task fail ?
-> Hard error in task causes worker to fail
-> Instance was lost mid run
"""
status = conf_man.update_creds_from_metadata_server(app)
stack_name = app.config["instance.tags"]["aws:cloudformation:stack-name"]
autoscale = get_autoscale_info(app, stack_name)
print autoscale
# Select all relevant queues in our cloudformation stack
queues = [q for q in app.config["sqs.conn"].get_all_queues() if q.name.startswith(stack_name)]
# Select only the active queues
active_q = [q for q in queues if "Active" in q.name]
pending_q = [q for q in queues if "Active" not in q.name]
for q in active_q:
print "Active queue : ", q.name
qtype = None
if "Test" in q.name:
qtype = "test"
elif "Prod" in q.name:
qtype = "prod"
else:
logging.error("Unknown queue : ".format(q.name))
break
# Find the corresponding pending queue to the current active queue
p_q = None
p_qs = [pq for pq in pending_q if qtype in pq.name.lower()]
if len(p_qs) == 1:
p_q = p_qs[0]
print "Pending queue : {0}".format(p_q)
else:
logging.error("Found too many pending queues : {0}".format(p_qs))
exit(0)
print "Instances in this group : ", autoscale[qtype]["instances"]
for i in autoscale[qtype]["instances"]:
print i.health_status
print i.lifecycle_state
while (1):
"""
Here we get all messages in the current queue and check the following conditions:
1. No more messages to check -> Break
2. If messages exists
-> Check if it is a kill_request.
-> Kill the instance and decrement the autoscale group desired count
->
"""
messages = q.get_messages(num_messages=10, visibility_timeout=2, wait_time_seconds=1, message_attributes=['All'])
if not messages:
break
for msg in messages:
# Check if message is a kill_request
if msg.message_attributes["job_id"]["string_value"] == "kill_request":
logging.info("Received a kill_request from : ".format(msg.message_attributes["instance_id"]["string_value"]))
# Are there more machines than the minimum
if autoscale[qtype]["current"] > autoscale[qtype]["min"]:
logging.info("Instances in autoscale group current:{0} > min:{1}".format(autoscale[qtype]["current"], autoscale[qtype]["min"]))
logging.info("Kill : {0}".format(msg.message_attributes["instance_id"]["string_value"]))
kill_instance(app, msg.message_attributes["instance_id"]["string_value"], autoscale[qtype])
q.delete_message(msg)
# Message is a regular job
else:
# We do not have excess machines. So no kill requests need to be made.
# However the message needs to be deleted
logging.info("Kill request ignored: {0}".format(msg.message_attributes["instance_id"]["string_value"]))
q.delete_message(msg)
# If message is not a kill_request it is an active job.
# Check if job has timed-out or the machine it is running on has
# accidentally terminated
else:
job_id = msg.message_attributes["job_id"]["string_value"]
instance_id = msg.message_attributes["instance_id"]["string_value"]
try:
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
except Exception, e:
logging.debug("JOb {0} not found in dynamodb \nDeleting the message")
q.delete_message(msg)
record = None
if record and record["status"] in ["completed", "failed"]:
logging.debug("Job {0} is {1} -> Deleting the active job message".format(job_id, record["status"]))
q.delete_message(msg)
else:
logging.debug("Job_id: {0} Active on Instance: {1}".format(job_id, instance_id))
check_job_status(app, msg, job_id, instance_id, autoscale[qtype], q, p_q)
def exec_job(app, jobtype, job_id, executable, args, inputs, outputs, data,
auth):
# Save current folder and chdir to a temporary folder
conf_man.update_creds_from_metadata_server(app)
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
##############################################################################
# Notify job execution start time
##############################################################################
update_record(record, "start_time", time.time())
##############################################################################
# Setup dirs for execution
##############################################################################
cwd = os.getcwd()
tmpdir = "/tmp/task_executor_jobs/{0}".format(job_id)
try:
os.makedirs(tmpdir)
except:
print "Tmpdir {0} exists. Deleting and recreating".format(tmpdir)
shutil.rmtree(tmpdir)
os.makedirs(tmpdir)
os.chdir(tmpdir)
##############################################################################
# Download the inputs to the temp folder
##############################################################################
update_record(record, "status", "staging_inputs")
stagein_start = time.time()
try:
get_inputs(app, inputs, auth)
except Exception as e:
print "Exception info : ".format(sys.exc_info()[0])
update_record(record, "ERROR",
"Failed to download inputs {0}".format(e))
update_record(record, "status", "failed")
update_record(record, "complete_time", time.time())
logging.error("Failed to download inputs")
return False
stagein_total = time.time() - stagein_start
##############################################################################
# Download the inputs to the temp folder
##############################################################################
# Check if job is valid
update_record(record, "status", "processing")
if jobtype not in apps.JOBS:
logging.error("Jobtype : {0} does not exist".format(jobtype))
print "Unable to process jobtype : {0}".format(jobtype)
return False
print "JOBS : ", apps.JOBS[jobtype]
status = True
returncode = 0
process_start = time.time()
try:
returncode = apps.JOBS[jobtype](app, data)
print "Returncode : {0}".format(returncode)
conf_man.update_creds_from_metadata_server(app)
except Exception as e:
update_record(record, "status", "Failed")
update_record(record, "complete_time", time.time())
update_record(record, "ERROR", str(e))
print "Job execution failed : {0}".format(e)
status = False
process_total = time.time() - process_start
##############################################################################
# Upload the results to the S3
##############################################################################
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
update_record(record, "status", "staging_outputs")
stageout_start = time.time()
# Upload the result to S3
try:
put_outputs(app, outputs)
except Exception as e:
print "Exception info : ".format(sys.exc_info()[0])
update_record(record, "ERROR",
"Failed to upload outputs {0}".format(e))
update_record(record, "status", "failed")
update_record(record, "complete_time", time.time())
logging.error("Failed to upload inputs")
return False
stageout_total = time.time() - stageout_start
update_record(record, "z_stagein_dur", stagein_total)
update_record(record, "z_stageout_dur", stageout_total)
update_record(record, "z_processing_dur", process_total - 1)
if returncode != 0:
update_record(record, "status", "failed")
update_record(record, "complete_time", time.time())
update_record(record, "ERROR_CODE", returncode)
status = False
else:
update_record(record, "status", "completed")
update_record(record, "complete_time", time.time())
if clean_tmp_dirs:
shutil.rmtree(tmpdir)
# Chdir back to the original folder
os.chdir(cwd)
return True
def exec_job(app, jobtype, job_id, executable, args, inputs, outputs, data, auth):
# Save current folder and chdir to a temporary folder
conf_man.update_creds_from_metadata_server(app)
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
##############################################################################
# Notify job execution start time
##############################################################################
update_record(record, "start_time", time.time())
##############################################################################
# Setup dirs for execution
##############################################################################
cwd = os.getcwd()
tmpdir = "/tmp/task_executor_jobs/{0}".format(job_id)
try:
os.makedirs(tmpdir)
except:
print "Tmpdir {0} exists. Deleting and recreating".format(tmpdir)
shutil.rmtree(tmpdir)
os.makedirs(tmpdir)
os.chdir(tmpdir)
##############################################################################
# Download the inputs to the temp folder
##############################################################################
update_record(record, "status", "staging_inputs")
stagein_start = time.time()
try:
get_inputs(app, inputs, auth)
except Exception as e:
print "Exception info : ".format(sys.exc_info()[0])
update_record(record, "ERROR", "Failed to download inputs {0}".format(e))
update_record(record, "status", "failed")
update_record(record, "complete_time", time.time())
logging.error("Failed to download inputs")
return False
stagein_total = time.time() - stagein_start
##############################################################################
# Download the inputs to the temp folder
##############################################################################
# Check if job is valid
update_record(record, "status", "processing")
if jobtype not in apps.JOBS:
logging.error("Jobtype : {0} does not exist".format(jobtype))
print "Unable to process jobtype : {0}".format(jobtype)
return False
print "JOBS : ", apps.JOBS[jobtype]
status = True
returncode = 0
process_start = time.time()
try:
returncode = apps.JOBS[jobtype](app, data)
print "Returncode : {0}".format(returncode)
conf_man.update_creds_from_metadata_server(app)
except Exception as e:
update_record(record, "status", "Failed");
update_record(record, "complete_time", time.time())
update_record(record, "ERROR", str(e));
print "Job execution failed : {0}".format(e)
status = False
process_total = time.time() - process_start
##############################################################################
# Upload the results to the S3
##############################################################################
record = dutils.dynamodb_get(app.config["dyno.conn"], job_id)
update_record(record, "status", "staging_outputs")
stageout_start = time.time()
# Upload the result to S3
try:
put_outputs(app, outputs)
except Exception as e:
print "Exception info : ".format(sys.exc_info()[0])
update_record(record, "ERROR", "Failed to upload outputs {0}".format(e))
update_record(record, "status", "failed")
update_record(record, "complete_time", time.time())
logging.error( "Failed to upload inputs")
return False
stageout_total = time.time() - stageout_start
update_record(record, "z_stagein_dur", stagein_total)
update_record(record, "z_stageout_dur", stageout_total)
update_record(record, "z_processing_dur", process_total - 1)
if returncode != 0 :
update_record(record, "status", "failed");
update_record(record, "complete_time", time.time())
update_record(record, "ERROR_CODE", returncode);
status = False
else:
update_record(record, "status", "completed")
update_record(record, "complete_time", time.time())
if clean_tmp_dirs:
shutil.rmtree(tmpdir)
# Chdir back to the original folder
os.chdir(cwd)
return True
