django-orchestra/orchestra/contrib/resources/tasks.py

from orchestra.contrib.orchestration import Operation
from orchestra.contrib.tasks import task
from orchestra.models.utils import get_model_field_path

from .backends import ServiceMonitor


@task(name='resources.Monitor')
def monitor(resource_id, ids=None, async=True):
    from .models import ResourceData, Resource
    
    resource = Resource.objects.get(pk=resource_id)
    resource_model = resource.content_type.model_class()
    logs = []
    # Execute monitors
    for monitor_name in resource.monitors:
        backend = ServiceMonitor.get_backend(monitor_name)
        model = backend.model_class()
        kwargs = {}
        if ids:
            path = get_model_field_path(model, resource_model)
            path = '%s__in' % ('__'.join(path) or 'id')
            kwargs = {
                path: ids
            }
        # Execute monitor
        monitorings = []
        for obj in model.objects.filter(**kwargs):
            op = Operation(backend, obj, Operation.MONITOR)
            monitorings.append(op)
        # TODO async=True only when running with celery
        # monitor.request.id
        logs += Operation.execute(monitorings, async=async)
    
    kwargs = {'id__in': ids} if ids else {}
    # Update used resources and trigger resource exceeded and revovery
    triggers = []
    model = resource.content_type.model_class()
    for obj in model.objects.filter(**kwargs):
        data, __ = ResourceData.get_or_create(obj, resource)
        data.update()
        if not resource.disable_trigger:
            a = data.used
            b = data.allocated
            if data.used > (data.allocated or 0):
                op = Operation(backend, obj, Operation.EXCEEDED)
                triggers.append(op)
            elif data.used < (data.allocated or 0):
                op = Operation(backend, obj, Operation.RECOVERY)
                triggers.append(op)
    Operation.execute(triggers)
    return logs


from orchestra.contrib.tasks import task
import time, sys
@task(name='rata')
def counter(num, log):
    for i in range(1, num):
        with open(log, 'a') as handler:
            handler.write(str(i))
#        sys.stderr.write('hola\n')
        time.sleep(1)
#counter.apply_async(10, '/tmp/kakas')