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listener.py
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listener.py
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import getpass
import json
import logging
import os
import platform
import queue
import subprocess
import sys
from pathlib import Path
from socket import gethostname
from threading import Thread
from kafka import KafkaConsumer
from .db import DamnitDB
from .extract_data import RunData, process_log_path
# For now, the migration & calibration events come via DESY's Kafka brokers,
# but the AMORE updates go via XFEL's test instance.
CONSUMER_ID = 'xfel-da-amore-prototype-{}'
KAFKA_CONF = {
'maxwell': {
'brokers': [f'it-kafka-broker{i:02}.desy.de' for i in range(1, 4)],
'topics': ["xfel-test-r2d2", "xfel-test-offline-cal"],
'events': ["migration_complete", "run_corrections_complete"],
},
'onc': {
'brokers': ['exflwgs06:9091'],
'topics': ['test.euxfel.hed.daq', 'test.euxfel.hed.cal'],
'events': ['daq_run_complete', 'online_correction_complete'],
}
}
log = logging.getLogger(__name__)
def watch_processes_finish(q: queue.Queue):
procs_by_prop_run = {}
while True:
# Get new subprocesses from the main thread
try:
prop, run, popen = q.get(timeout=1)
procs_by_prop_run[prop, run] = popen
except queue.Empty:
pass
# Check if any of the subprocesses we're tracking have finished
to_delete = set()
for (prop, run), popen in procs_by_prop_run.items():
returncode = popen.poll()
if returncode is None:
continue # Still running
# Can't delete from a dict while iterating over it
to_delete.add((prop, run))
if returncode == 0:
log.info("Data extraction for p%d r%d succeeded", prop, run)
else:
log.error(
"Data extraction for p%d, r%d failed with exit code %d",
prop, run, returncode
)
for prop, run in to_delete:
del procs_by_prop_run[prop, run]
class EventProcessor:
def __init__(self, context_dir=Path('.')):
self.context_dir = context_dir
self.db = DamnitDB.from_dir(context_dir)
# Fail fast if read-only - https://stackoverflow.com/a/44707371/434217
self.db.conn.execute("pragma user_version=0;")
self.proposal = self.db.metameta['proposal']
log.info(f"Will watch for events from proposal {self.proposal}")
if gethostname().startswith('exflonc'):
# running on the online cluster
kafka_conf = KAFKA_CONF['onc']
else:
kafka_conf = KAFKA_CONF['maxwell']
consumer_id = CONSUMER_ID.format(self.db.metameta['db_id'])
self.kafka_cns = KafkaConsumer(*kafka_conf['topics'],
bootstrap_servers=kafka_conf['brokers'],
group_id=consumer_id)
self.events = kafka_conf['events']
self.extract_procs_queue = queue.Queue()
self.extract_procs_watcher = Thread(
target=watch_processes_finish,
args=(self.extract_procs_queue,),
daemon=True
)
self.extract_procs_watcher.start()
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.kafka_cns.close()
self.db.close()
return False
def run(self):
for record in self.kafka_cns:
try:
self._process_kafka_event(record)
except Exception:
log.error("Unepected error handling Kafka event.", exc_info=True)
def _process_kafka_event(self, record):
msg = json.loads(record.value.decode())
event = msg.get('event')
if event in self.events:
log.debug("Processing %s event from Kafka", event)
getattr(self, f'handle_{event}')(record, msg)
else:
log.debug("Unexpected %s event from Kafka", event)
def handle_daq_run_complete(self, record, msg: dict):
self.handle_event(record, msg, RunData.RAW)
def handle_online_correction_complete(self, record, msg: dict):
self.handle_event(record, msg, RunData.PROC)
def handle_migration_complete(self, record, msg: dict):
self.handle_event(record, msg, RunData.RAW)
def handle_run_corrections_complete(self, record, msg: dict):
self.handle_event(record, msg, RunData.PROC)
def handle_event(self, record, msg: dict, run_data: RunData):
proposal = int(msg['proposal'])
run = int(msg['run'])
if proposal != self.proposal:
return
self.db.ensure_run(proposal, run, record.timestamp / 1000)
log.info(f"Added p%d r%d ({run_data.value} data) to database", proposal, run)
log_path = process_log_path(run, proposal, self.context_dir)
log.info("Processing output will be written to %s",
log_path.relative_to(self.context_dir.absolute()))
with log_path.open('ab') as logf:
# Create subprocess to process the run
extract_proc = subprocess.Popen([
sys.executable, '-m', 'damnit.backend.extract_data',
str(proposal), str(run), run_data.value
], cwd=self.context_dir, stdout=logf, stderr=subprocess.STDOUT)
self.extract_procs_queue.put((proposal, run, extract_proc))
def listen():
# Set up logging to a file
file_handler = logging.FileHandler("amore.log")
formatter = logging.root.handlers[0].formatter
file_handler.setFormatter(formatter)
logging.root.addHandler(file_handler)
log.info(f"Running on {platform.node()} under user {getpass.getuser()}, PID {os.getpid()}")
try:
with EventProcessor() as processor:
processor.run()
except KeyboardInterrupt:
log.error("Stopping on Ctrl + C")
except Exception:
log.error("Stopping on unexpected error", exc_info=True)
# Flush all logs
logging.shutdown()
# Ensure that the log file is writable by everyone (so that different users
# can start the backend).
if os.stat("amore.log").st_uid == os.getuid():
os.chmod("amore.log", 0o666)
if __name__ == '__main__':
listen()