2019-08-13 12:10:50 +00:00
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from datetime import datetime
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2019-08-20 13:57:58 +00:00
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from . import db, scheduler
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2019-08-13 12:10:50 +00:00
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from .models import Job
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2019-07-17 11:34:20 +00:00
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import docker
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2019-08-06 12:27:41 +00:00
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import json
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2019-08-06 12:54:00 +00:00
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import os
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2019-07-17 11:34:20 +00:00
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2019-08-13 12:27:02 +00:00
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def checkout_jobs():
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2019-08-20 13:57:58 +00:00
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with scheduler.app.app_context():
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client = docker.from_env()
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jobs = db.session.query(Job)
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2019-08-21 06:37:10 +00:00
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for job in jobs.filter_by(status='submitted').all():
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2019-08-20 13:57:58 +00:00
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_command = (job.service
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+ ' -i /files'
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+ ' -o /files/output'
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+ ' ' + ' '.join(json.loads(job.service_args)))
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_constraints = ['node.role==worker']
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_image = 'gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/{}:{}'.format(
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job.service,
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job.service_version
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)
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_labels = {'service': job.service}
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_mounts = [os.path.join('/home/compute/mnt/opaque',
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str(job.user_id),
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'jobs',
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str(job.id))
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+ ':/files:rw']
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_name = str(job.id)
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'''
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' The Docker SDK for Python expects the cpu_reservation value to be
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' scaled to nanos (10^9). Because the job object contains unscaled
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' (10^0) values, it must be conveted.
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'
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' While the cpu_reservation value has to be in nanos, the
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' mem_reservation value must be presented in an unscaled form
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' (intuitive right?). Bacause the job object provides the memory
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' value in megabytes, it is also necessary to convert the value.
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'''
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_resources = docker.types.Resources(
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cpu_reservation=job.n_cores * (10 ** 9),
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mem_reservation=job.mem_mb * (10 ** 6)
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)
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_restart_policy = docker.types.RestartPolicy(condition='none')
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2019-08-21 09:40:09 +00:00
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try:
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service = client.services.create(
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_image,
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command=_command,
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constraints=_constraints,
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labels=_labels,
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mounts=_mounts,
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name=_name,
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resources=_resources,
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restart_policy=_restart_policy
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)
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job.status = 'scheduled'
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except docker.errors.APIError:
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job.status = 'failed'
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print('[ERROR] {}: client.services.create raised APIError'
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.format(job.id))
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2019-08-21 06:37:10 +00:00
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for job in jobs.filter(Job.status != 'complete',
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Job.status != 'failed',
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Job.status != 'submitted').all():
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try:
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service = client.services.get(str(job.id))
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job.status = service.tasks()[0].get('Status').get('State')
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if job.status == 'complete' or job.status == 'failed':
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job.end_date = datetime.utcnow()
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service.remove()
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2019-08-21 09:40:09 +00:00
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except docker.errors.APIError:
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job.status = 'failed'
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print('[ERROR] {}: client.services.get raised APIError'
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.format(job.id))
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2019-08-21 06:37:10 +00:00
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except docker.errors.NotFound:
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job.status = 'failed'
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2019-08-21 09:40:09 +00:00
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print('[ERROR] {}: client.services.get raised NotFound'
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.format(job.id))
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except docker.errors.InvalidVersion:
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job.status = 'failed'
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print('[ERROR] {}: client.services.get raised InvalidVersion'
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.format(job.id))
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2019-08-20 13:57:58 +00:00
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db.session.commit()
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