Made the concurrent ocr code more granular, per node, every node can handle different amounts of concurrent ocr tasks

This commit is contained in:
Roberto Rosario
2011-03-22 04:17:48 -04:00
parent d0942a203b
commit 3cb0f37b5b
6 changed files with 13 additions and 8 deletions

View File

@@ -1,4 +1,5 @@
from datetime import date, timedelta, datetime
import platform
from django.db.models import Q
@@ -12,7 +13,7 @@ from literals import QUEUEDOCUMENT_STATE_PENDING, \
QUEUEDOCUMENT_STATE_PROCESSING, DOCUMENTQUEUE_STATE_ACTIVE, \
QUEUEDOCUMENT_STATE_ERROR
from models import QueueDocument, DocumentQueue
from ocr.conf.settings import MAX_CONCURRENT_EXECUTION
from ocr.conf.settings import NODE_CONCURRENT_EXECUTION
from ocr.conf.settings import REPLICATION_DELAY
@@ -20,6 +21,7 @@ from ocr.conf.settings import REPLICATION_DELAY
def task_process_queue_document(queue_document_id):
queue_document = QueueDocument.objects.get(id=queue_document_id)
queue_document.state = QUEUEDOCUMENT_STATE_PROCESSING
queue_document.node_name = platform.node()
queue_document.save()
try:
do_document_ocr(queue_document.document)
@@ -42,8 +44,9 @@ class DocumentQueueWatcher(PeriodicTask):
q_delay_interval = Q(datetime_submitted__lt=datetime.now()-timedelta(seconds=REPLICATION_DELAY))
for document_queue in DocumentQueue.objects.filter(state=DOCUMENTQUEUE_STATE_ACTIVE):
logger.debug('Analysing queue: %s' % document_queue)
current_running_queues = QueueDocument.objects.filter(state=QUEUEDOCUMENT_STATE_PROCESSING).count()
if current_running_queues < MAX_CONCURRENT_EXECUTION:
if QueueDocument.objects.filter(
state=QUEUEDOCUMENT_STATE_PROCESSING).filter(
node_name=platform.node()).count() < NODE_CONCURRENT_EXECUTION:
try:
oldest_queued_document_qs = document_queue.queuedocument_set.filter(
(q_pending & ~q_delayed) | (q_pending & q_delayed & q_delay_interval))