6d9b6f9ada
Previously the task_process_document_queues processed all the pending queue items it could find, this could lead to the of inexisting queue items from a stale queryset
108 lines
3.8 KiB
Python
108 lines
3.8 KiB
Python
from datetime import timedelta, datetime
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import platform
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from time import sleep
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from random import random
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import logging
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from django.db.models import Q
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from job_processor.api import process_job
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from lock_manager import Lock, LockError
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from ocr.api import do_document_ocr
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from ocr.literals import QUEUEDOCUMENT_STATE_PENDING, \
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QUEUEDOCUMENT_STATE_PROCESSING, DOCUMENTQUEUE_STATE_ACTIVE, \
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QUEUEDOCUMENT_STATE_ERROR
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from ocr.models import QueueDocument, DocumentQueue
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from ocr.conf.settings import NODE_CONCURRENT_EXECUTION
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from ocr.conf.settings import REPLICATION_DELAY
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from ocr.conf.settings import CACHE_URI
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from ocr.conf.settings import QUEUE_PROCESSING_INTERVAL
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LOCK_EXPIRE = 60 * 10 # Lock expires in 10 minutes
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# TODO: Tie LOCK_EXPIRATION with hard task timeout
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logger = logging.getLogger(__name__)
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def task_process_queue_document(queue_document_id):
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lock_id = u'task_proc_queue_doc-%d' % queue_document_id
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try:
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logger.debug('trying to acquire lock: %s' % lock_id)
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lock = Lock.acquire_lock(lock_id, LOCK_EXPIRE)
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logger.debug('acquired lock: %s' % lock_id)
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queue_document = QueueDocument.objects.get(pk=queue_document_id)
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queue_document.state = QUEUEDOCUMENT_STATE_PROCESSING
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queue_document.node_name = platform.node()
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queue_document.save()
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try:
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do_document_ocr(queue_document)
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queue_document.delete()
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except Exception, e:
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queue_document.state = QUEUEDOCUMENT_STATE_ERROR
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queue_document.result = e
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queue_document.save()
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lock.release()
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except LockError:
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logger.debug('unable to obtain lock')
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pass
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def reset_orphans():
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pass
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'''
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i = inspect().active()
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active_tasks = []
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orphans = []
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if i:
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for host, instances in i.items():
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for instance in instances:
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active_tasks.append(instance['id'])
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for document_queue in DocumentQueue.objects.filter(state=DOCUMENTQUEUE_STATE_ACTIVE):
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orphans = document_queue.queuedocument_set.\
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filter(state=QUEUEDOCUMENT_STATE_PROCESSING).\
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exclude(result__in=active_tasks)
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for orphan in orphans:
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orphan.result = _(u'Orphaned')
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orphan.state = QUEUEDOCUMENT_STATE_PENDING
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orphan.delay = False
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orphan.node_name = None
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orphan.save()
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'''
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def task_process_document_queues():
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logger.debug('executed')
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# reset_orphans()
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# Causes problems with big clusters increased latency
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# Disabled until better solution
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q_pending = Q(state=QUEUEDOCUMENT_STATE_PENDING)
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q_delayed = Q(delay=True)
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q_delay_interval = Q(datetime_submitted__lt=datetime.now() - timedelta(seconds=REPLICATION_DELAY))
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for document_queue in DocumentQueue.objects.filter(state=DOCUMENTQUEUE_STATE_ACTIVE):
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current_local_processing_count = QueueDocument.objects.filter(
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state=QUEUEDOCUMENT_STATE_PROCESSING).filter(
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node_name=platform.node()).count()
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if current_local_processing_count < NODE_CONCURRENT_EXECUTION:
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try:
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oldest_queued_document_qs = document_queue.queuedocument_set.filter(
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(q_pending & ~q_delayed) | (q_pending & q_delayed & q_delay_interval))
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if oldest_queued_document_qs:
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oldest_queued_document = oldest_queued_document_qs.order_by('datetime_submitted')[0]
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process_job(task_process_queue_document, oldest_queued_document.pk)
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except Exception, e:
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pass
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#print 'DocumentQueueWatcher exception: %s' % e
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finally:
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# Don't process anymore from this queryset, might be stale
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break;
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else:
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logger.debug('already processing maximun')
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else:
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logger.debug('nothing to process')
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