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import atexit
import logging
import os
from parsl.jobs.states import JobState, JobStatus
from parsl.launchers import SingleNodeLauncher
logger = logging.getLogger(__name__)
try:
import googleapiclient.discovery
except ImportError:
_google_enabled = False
else:
_google_enabled = True
translate_table = {
'PENDING': JobState.PENDING,
'PROVISIONING': JobState.PENDING,
"STAGING": JobState.PENDING,
'RUNNING': JobState.RUNNING,
'DONE': JobState.COMPLETED,
'STOPPING': JobState.COMPLETED,
'STOPPED': JobState.COMPLETED,
'TERMINATED': JobState.COMPLETED,
'SUSPENDING': JobState.COMPLETED,
'SUSPENDED': JobState.COMPLETED,
}
class GoogleCloudProvider():
"""A provider for using resources from the Google Compute Engine.
Parameters
----------
project_id : str
Project ID from Google compute engine.
key_file : str
Path to authorization private key json file. This is required for auth.
A new one can be generated here: https://console.cloud.google.com/apis/credentials
region : str
Region in which to start instances
os_project : str
OS project code for Google compute engine.
os_family : str
OS family to request.
google_version : str
Google compute engine version to use. Possibilies include 'v1' (default) or 'beta'.
instance_type: str
'n1-standard-1',
init_blocks : int
Number of blocks to provision immediately. Default is 1.
min_blocks : int
Minimum number of blocks to maintain. Default is 0.
max_blocks : int
Maximum number of blocks to maintain. Default is 10.
parallelism : float
Ratio of provisioned task slots to active tasks. A parallelism value of 1 represents aggressive
scaling where as many resources as possible are used; parallelism close to 0 represents
the opposite situation in which as few resources as possible (i.e., min_blocks) are used.
"""
def __init__(self,
project_id,
key_file,
region,
os_project,
os_family,
google_version='v1',
instance_type='n1-standard-1',
init_blocks=1,
min_blocks=0,
max_blocks=10,
launcher=SingleNodeLauncher(),
parallelism=1):
self.project_id = project_id
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = key_file
self.zone = self.get_zone(region)
self.os_project = os_project
self.os_family = os_family
self.label = 'google_cloud'
self.client = googleapiclient.discovery.build('compute', google_version)
self.instance_type = instance_type
self.init_blocks = init_blocks
self.min_blocks = min_blocks
self.max_blocks = max_blocks
self.parallelism = parallelism
self.num_instances = 0
self.launcher = launcher
# Dictionary that keeps track of jobs, keyed on job_id
self.resources = {}
atexit.register(self.bye)
def submit(self, command, tasks_per_node, job_name="parsl.gcs"):
''' The submit method takes the command string to be executed upon
instantiation of a resource most often to start a pilot.
Args :
- command (str) : The bash command string to be executed.
- tasks_per_node (int) : command invocations to be launched per node
KWargs:
- job_name (str) : Human friendly name to be assigned to the job request
Returns:
- A job identifier, this could be an integer, string etc
Raises:
- ExecutionProviderException or its subclasses
'''
wrapped_cmd = self.launcher(command,
tasks_per_node,
1)
instance, name = self.create_instance(command=wrapped_cmd)
self.resources[name] = {"job_id": name, "status": JobStatus(translate_table[instance['status']])}
return name
def status(self, job_ids):
''' Get the status of a list of jobs identified by the job identifiers
returned from the submit request.
Args:
- job_ids (list) : A list of job identifiers
Returns:
- A list of JobStatus objects corresponding to each job_id in the job_ids list.
Raises:
- ExecutionProviderException or its subclasses
'''
statuses = []
for job_id in job_ids:
instance = self.client.instances().get(instance=job_id, project=self.project_id, zone=self.zone).execute()
job_status = JobStatus(translate_table[instance['status']])
self.resources[job_id]['status'] = job_status
statuses.append(job_status)
return statuses
def cancel(self, job_ids):
''' Cancels the resources identified by the job_ids provided by the user.
Args:
- job_ids (list): A list of job identifiers
Returns:
- A list of status from cancelling the job which can be True, False
Raises:
- ExecutionProviderException or its subclasses
'''
statuses = []
for job_id in job_ids:
try:
self.delete_instance(job_id)
statuses.append(True)
except Exception:
statuses.append(False)
return statuses
def bye(self):
self.cancel([i for i in list(self.resources)])
def create_instance(self, command=""):
name = "parslauto{}".format(self.num_instances)
self.num_instances += 1
compute = self.client
project = self.project_id
image_response = compute.images().getFromFamily(
project=self.os_project, family=self.os_family).execute()
source_disk_image = image_response['selfLink']
# Configure the machine
machine_type = "zones/{}/machineTypes/{}".format(self.zone, self.instance_type)
startup_script = command
config = {
'name': name,
'machineType': machine_type,
# Specify the boot disk and the image to use as a source.
'disks': [{
'boot': True,
'autoDelete': True,
'initializeParams': {
'sourceImage': source_disk_image,
}
}],
'networkInterfaces': [{
'network': 'global/networks/default',
'accessConfigs': [{
'type': 'ONE_TO_ONE_NAT',
'name': 'External NAT'
}]
}],
'serviceAccounts': [{
'email':
'default',
'scopes': [
'https://www.googleapis.com/auth/devstorage.read_write',
'https://www.googleapis.com/auth/logging.write'
]
}],
'metadata': {
'items': [{
# Startup script is automatically executed by the
# instance upon startup.
'key': 'startup-script',
'value': startup_script
}]
}
}
return compute.instances().insert(project=project, zone=self.zone, body=config).execute(), name
def get_zone(self, region):
res = self.client.zones().list(project=self.project_id).execute()
for zone in res['items']:
if region in zone['name'] and zone['status'] == "UP":
return zone["name"]
def delete_instance(self, name):
compute = self.client
project = self.project_id
zone = self.zone
return compute.instances().delete(project=project, zone=zone, instance=name).execute()
@property
def status_polling_interval(self):
return 60
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