65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
from orchestra.contrib.orchestration import Operation
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from orchestra.contrib.tasks import task
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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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@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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logs = []
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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(backend, obj, Operation.MONITOR)
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monitorings.append(op)
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# TODO async=True only when running with celery
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# monitor.request.id
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logs += 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(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(backend, obj, Operation.RECOVERY)
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triggers.append(op)
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Operation.execute(triggers)
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return logs
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from orchestra.contrib.tasks import task
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import time, sys
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@task(name='rata')
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def counter(num, log):
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for i in range(1, num):
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with open(log, 'a') as handler:
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handler.write(str(i))
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# sys.stderr.write('hola\n')
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time.sleep(1)
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#counter.apply_async(10, '/tmp/kakas')
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