def lambda_handler(event, context):
bucket_name, ipst = s3.parse_s3_event(event)
comm = io.get_io_bundle(bucket_name)
if ipst == "all":
print("Cleaning all datasets; removing all job resources (S3 files).")
comm.messages.delete_literal(
"clean-all") # don't interpret all as existing ipppssoots
cleanup_ids = comm.ids("all")
comm.messages.broadcast("clean", cleanup_ids)
elif ipst == "ingested": # a variation of "all" restricted to datasets with an ingest message
print(
"Cleaning all ingested datasets; removing all job resources (S3 files)."
)
comm.messages.delete_literal(
"clean-ingested") # don't interpret "ingested"
cleanup_ids = comm.messages.ids("ingested")
comm.messages.broadcast("clean", cleanup_ids)
else:
print("Cleaning", ipst)
comm.clean(ipst)
def lambda_handler(event, context):
bucket_name, ipst = s3.parse_s3_event(event)
comm = io.get_io_bundle(bucket_name)
comm.xdata.delete(ipst) # biggest difference between "placed" and "rescue"
# comm.messages.delete(f"placed-{ipst}")
lambda_submit.main(comm, ipst, bucket_name)
def setup_job(event_basename, **overrides):
"""Set up system as if batch job corresponding to `event_basename` event artifact has been submitted,
first applying `overrides` to nominal xdata.
"""
event = conftest.load_event(event_basename)
overrides = overrides or {}
ipppssoot = event["detail"]["container"]["command"][1]
comm = io.get_io_bundle()
metadata = starting_metadata(overrides)
comm.xdata.put(ipppssoot, metadata)
return event, comm, ipppssoot, metadata
def lambda_handler(event, context):
bucket_name, ipst = s3.parse_s3_event(event)
comm = io.get_io_bundle(bucket_name)
if ipst == "all":
# Delete exactly the cancel-all message, not every ipppssoot
comm.messages.delete_literal("cancel-all")
# Cancel all jobs in a killable state broadcasting cancel over job_ids
job_ids = batch.get_job_ids()
comm.messages.broadcast("cancel", job_ids)
elif batch.JOB_ID_RE.match(ipst):
job_id, ipst = ipst, "unknown" # kill one job, ipst = job_id
print("Cancelling job_id", job_id)
comm.messages.delete_literal(f"cancel-{job_id}")
with log.trap_exception("Handling messages + control for", job_id):
ipst = batch.get_job_name(job_id)
print("Handling messages and control for", ipst)
comm.messages.delete(f"all-{ipst}")
comm.messages.put(f"terminated-{ipst}",
"cancel lambda " + bucket_name)
try:
metadata = comm.xdata.get(ipst)
except comm.xdata.client.exceptions.NoSuchKeyError:
metadata = dict(job_id=job_id, cancel_type="job_id")
metadata["terminated"] = True
comm.xdata.put(ipst, metadata)
# Do last so terminate flag is set if possible.
print("Terminating", job_id)
batch.terminate_job(job_id, "Operator cancelled")
elif hst.IPPPSSOOT_RE.match(ipst): # kill one ipppssoot
print("Cancelling ipppssoot", ipst)
comm.messages.delete(f"all-{ipst}")
comm.messages.put(f"terminated-{ipst}", "cancel lambda " + bucket_name)
metadata = comm.xdata.get(ipst)
metadata["terminated"] = True
metadata["cancel_type"] = "ipppssoot"
comm.xdata.put(ipst, metadata)
job_id = metadata["job_id"]
with log.trap_exception("Terminating", job_id):
print("Terminating", job_id)
batch.terminate_job(job_id, "Operator cancelled")
else:
raise ValueError("Bad cancel ID", ipst)
def lambda_handler(event, context):
bucket_name, ipst = s3.parse_s3_event(event)
comm = io.get_io_bundle(bucket_name)
if ipst == "all":
print("Rescuing all")
comm.messages.delete_literal(
"rescue-all") # don't interpret all as existing ipppssoots
rescues = comm.messages.ids(RESCUE_TYPES)
comm.messages.broadcast("rescue", rescues)
else:
print("Rescuing", ipst)
# comm.outputs.delete(ipst)
lambda_submit.main(comm, ipst, bucket_name)
def lambda_handler(event, context):
bucket_name, serial = s3.parse_s3_event(event)
comm = io.get_io_bundle(bucket_name)
if check_for_kill(comm, "Detected broadcast-kill on entry."):
return
broadcasted = comm.messages.pop(f"broadcast-{serial}")
if len(broadcasted) > 100:
serial1, serial2 = comm.messages.get_id(), comm.messages.get_id()
comm.messages.put(f"broadcast-{serial1}", broadcasted[: len(broadcasted) // 2])
comm.messages.put(f"broadcast-{serial2}", broadcasted[len(broadcasted) // 2 :])
else:
for i, msg in enumerate(broadcasted):
if not i % 10:
if check_for_kill(comm, "Detected broadcast-kill in put loop"):
return
comm.messages.put(msg)
def lambda_handler(event, context):
bucket_name, serial = s3.parse_s3_event(event)
comm = io.get_io_bundle(bucket_name)
if check_for_kill(comm, "Detected broadcast-kill on entry."):
return
bmsg = comm.messages.pop(f"broadcast-{serial}")
broadcasted, payload = bmsg["messages"], bmsg["payload"]
if len(broadcasted) > 100: # split broadcast into two new broadcasts
comm.messages.bifurcate_broadcast(broadcasted, payload)
else: # iteratively send payload to each message in broadcasted
for i, msg in enumerate(broadcasted):
if not i % 10:
if check_for_kill(comm, "Detected broadcast-kill in put loop"):
return
comm.messages.put(msg, payload)
def lambda_handler(event, context):
print(event)
detail = event["detail"]
job_id = detail["jobId"]
job_name = detail["jobName"] # appears to be ipppssoot
status_reason = detail.get("statusReason", "undefined")
container = event["detail"]["container"]
ipppssoot = container["command"][1]
bucket = container["command"][2].split("/")[2]
container_reason = container.get("reason", "undefined")
exit_code = container.get("exitCode", "undefined")
exit_reason = exit_codes.explain(
exit_code) if exit_code != "undefined" else exit_code
comm = io.get_io_bundle(bucket)
metadata = comm.xdata.get(ipppssoot)
metadata["ipppssoot"] = ipppssoot
metadata["bucket"] = bucket
metadata["job_id"] = job_id
metadata["job_name"] = job_name
metadata["exit_code"] = exit_code
metadata["exit_reason"] = exit_reason
metadata["status_reason"] = status_reason
metadata["container_reason"] = container_reason
if exit_reason != "undefined":
combined_reason = exit_reason
elif container_reason != "undefined":
combined_reason = container_reason
else:
combined_reason = status_reason
continuation_msg = "error-" + ipppssoot
if exit_codes.is_memory_error(exit_code) or container_reason.startswith(
"OutOfMemoryError: Container killed"):
if not metadata["terminated"] and metadata["memory_retries"] < int(
os.environ["MAX_MEMORY_RETRIES"]):
metadata["memory_retries"] += 1
continuation_msg = "rescue-" + ipppssoot
print("Automatic OutOfMemory rescue of", ipppssoot,
"with memory retry count", metadata["memory_retries"])
else:
print("Automatic OutOfMemory retries for", ipppssoot,
"exhausted at", metadata["memory_retries"])
elif container_reason.startswith("CannotInspectContainer"):
if not metadata["terminated"] and metadata["retries"] < int(
os.environ["MAX_DOCKER_RETRIES"]):
metadata["retries"] += 1
continuation_msg = "rescue-" + ipppssoot
print("Automatic CannotInspectContainer rescue for", ipppssoot,
"with retry count", metadata["retries"])
else:
print("Automatic CannotInspectContainer retries for", ipppssoot,
"exhausted at", metadata["retries"])
elif container_reason.startswith("DockerTimeoutError"):
if not metadata["terminated"] and metadata["retries"] < int(
os.environ["MAX_DOCKER_RETRIES"]):
metadata["retries"] += 1
continuation_msg = "rescue-" + ipppssoot
print("Automatic DockerTimeoutError rescue for", ipppssoot,
"with retry count", metadata["retries"])
else:
print("Automatic DockerTimeoutError retries for", ipppssoot,
"exhausted at", metadata["retries"])
elif status_reason.startswith("Operator cancelled"):
print("Operator cancelled job", job_id, "for", ipppssoot,
"no automatic retry.")
continuation_msg = "terminated-" + ipppssoot
else:
print("Failure for", ipppssoot, "no automatic retry for",
combined_reason)
# XXXX Since retry count used in planning, control output must precede rescue message
print(metadata)
comm.xdata.put(ipppssoot, metadata)
comm.messages.delete("all-" + ipppssoot)
comm.messages.put(continuation_msg)