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