kopia lustrzana https://github.com/OpenDroneMap/WebODM
81 wiersze
2.6 KiB
Python
81 wiersze
2.6 KiB
Python
import traceback
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from django.core.exceptions import ObjectDoesNotExist
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from django.db.models import Count
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from django.db.models import Q
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from app.models import Project
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from app.models import Task
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from webodm import settings
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from nodeodm import status_codes
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from nodeodm.models import ProcessingNode
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from .celery import app
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from celery.utils.log import get_task_logger
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from django.db import transaction
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logger = get_task_logger(__name__)
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@app.task
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def update_nodes_info():
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processing_nodes = ProcessingNode.objects.all()
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for processing_node in processing_nodes:
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processing_node.update_node_info()
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@app.task
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def cleanup_projects():
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# Delete all projects that are marked for deletion
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# and that have no tasks left
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total, count_dict = Project.objects.filter(deleting=True).annotate(
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tasks_count=Count('task')
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).filter(tasks_count=0).delete()
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if total > 0 and 'app.Project' in count_dict:
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logger.info("Deleted {} projects".format(count_dict['app.Project']))
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@app.task
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def process_task(taskId):
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# TODO: would a redis lock perform better here?
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with transaction.atomic():
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try:
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task = Task.objects.filter(pk=taskId).select_for_update().get()
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except ObjectDoesNotExist:
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logger.info("Task id {} has already been deleted.".format(taskId))
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return
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if not task.processing_lock:
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task.processing_lock = True
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task.save()
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else:
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return # Another worker beat us to it
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try:
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task.process()
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except Exception as e:
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logger.error(
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"Uncaught error! This is potentially bad. Please report it to http://github.com/OpenDroneMap/WebODM/issues: {} {}".format(
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e, traceback.format_exc()))
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if settings.TESTING: raise e
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finally:
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# Might have been deleted
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if task.pk is not None:
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task.processing_lock = False
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task.save()
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@app.task
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def process_pending_tasks():
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# All tasks that have a processing node assigned
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# Or that need one assigned (via auto)
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# or tasks that need a status update
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# or tasks that have a pending action
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# and that are not locked (being processed by another thread)
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tasks = Task.objects.filter(Q(processing_node__isnull=True, auto_processing_node=True) |
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Q(Q(status=None) | Q(status__in=[status_codes.QUEUED, status_codes.RUNNING]),
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processing_node__isnull=False) |
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Q(pending_action__isnull=False)).exclude(Q(processing_lock=True))
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for task in tasks:
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process_task.delay(task.id)
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