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dask_spre.py
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dask_spre.py
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from prefect import task, Flow
from prefect.executors import DaskExecutor
from prefect.run_configs import KubernetesRun
from dask_kubernetes import make_pod_spec
#from dask_kubernetes import KubeCluster
from prefect.storage import GitHub
import saspy
FLOW_NAME = "dask_spre"
STORAGE = GitHub(
repo="porbmv83/prefect_test",
path=f"{FLOW_NAME}.py",
# access_token_secret="GITHUB_ACCESS_TOKEN", required with private repositories
)
POD_SPEC = make_pod_spec(
image="sasporbmvacr.azurecr.io/prefect-dask-spre:latest",
memory_limit="3G",
cpu_limit=1,
memory_request="3G",
cpu_request=1,
env={"EXTRA_PIP_PACKAGES": "bokeh"},
extra_container_config={"volumeMounts": [{"name": "core",
"mountPath": "/core"}]},
extra_pod_config={"volumes": [{"name": "core",
"persistentVolumeClaim": {"claimName": "sas-risk-cirrus-core-pvc"}}],
"imagePullSecrets": [{"name": "sasporbmvacr-image-pull-secret"}],
# "tolerations": [{"effect": "NoSchedule",
# "key": "workload.sas.com/class",
# "operator": "Equal",
# "value": "compute"
# }]
},
)
EXECUTOR = DaskExecutor(
cluster_class="dask_kubernetes.KubeCluster",
cluster_kwargs={"pod_template": POD_SPEC,
"name": "spre-dask-worker",
# "n_workers": 3
},
adapt_kwargs={"minimum": 1, "maximum": 3, },
)
RUN_CONFIG = KubernetesRun(
image="sasporbmvacr.azurecr.io/prefect-dask-spre:latest",
env={"EXTRA_PIP_PACKAGES": "prefect[github]"},
image_pull_secrets=["sasporbmvacr-image-pull-secret"],
labels=["porbmv"],
)
@task(log_stdout=True)
def inc(x):
sas = saspy.SASsession()
sas.symput('sas_x', x)
r = sas.submit("""
%put INC: Python value is: &sas_x;
data _null_;
sas_z = &sas_x+1;
call symput('sas_z', sas_z);
run;
""")
z = sas.symget('sas_z')
print(r['LOG'])
sas.endsas()
print('INC: SAS value is: ' + str(z))
return z
@task(log_stdout=True)
def dec(x):
sas = saspy.SASsession()
sas.symput('sas_x', x)
r = sas.submit("""
%put DEC: Python value is: &sas_x;
data _null_;
sas_z = &sas_x-1;
call symput('sas_z', sas_z);
run;
""")
z = sas.symget('sas_z')
print(r['LOG'])
sas.endsas()
print('DEC: SAS value is: ' + str(z))
return z
@task(log_stdout=True)
def add(x, y):
sas = saspy.SASsession()
sas.symput('sas_x', x)
sas.symput('sas_y', y)
r = sas.submit("""
%put ADD: Python value is: &sas_x and &sas_y;
data _null_;
sas_z = &sas_x-&sas_y;
call symput('sas_z', sas_z);
run;
""")
z = sas.symget('sas_z')
print(r['LOG'])
sas.endsas()
print('DEC: SAS value is: ' + str(z))
return z
@task(log_stdout=True)
def list_sum(arr):
return sum(arr)
with Flow(FLOW_NAME,
storage=STORAGE,
run_config=RUN_CONFIG,
executor=EXECUTOR,) as flow:
incs = inc.map(x=range(100))
decs = dec.map(x=range(100))
adds = add.map(x=incs, y=decs)
total = list_sum(adds)