335 lines
13 KiB
Python
335 lines
13 KiB
Python
import boto3
|
|
from botocore.exceptions import ClientError
|
|
import datetime
|
|
import pytest
|
|
|
|
from moto import mock_sagemaker
|
|
from moto.sts.models import ACCOUNT_ID
|
|
|
|
FAKE_ROLE_ARN = "arn:aws:iam::{}:role/FakeRole".format(ACCOUNT_ID)
|
|
TEST_REGION_NAME = "us-east-1"
|
|
|
|
|
|
class MyProcessingJobModel(object):
|
|
def __init__(
|
|
self,
|
|
processing_job_name,
|
|
role_arn,
|
|
container=None,
|
|
bucket=None,
|
|
prefix=None,
|
|
app_specification=None,
|
|
network_config=None,
|
|
processing_inputs=None,
|
|
processing_output_config=None,
|
|
processing_resources=None,
|
|
stopping_condition=None,
|
|
):
|
|
self.processing_job_name = processing_job_name
|
|
self.role_arn = role_arn
|
|
self.container = (
|
|
container
|
|
or "683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:0.23-1-cpu-py3"
|
|
)
|
|
self.bucket = bucket or "my-bucket"
|
|
self.prefix = prefix or "sagemaker"
|
|
self.app_specification = app_specification or {
|
|
"ImageUri": self.container,
|
|
"ContainerEntrypoint": ["python3",],
|
|
}
|
|
self.network_config = network_config or {
|
|
"EnableInterContainerTrafficEncryption": False,
|
|
"EnableNetworkIsolation": False,
|
|
}
|
|
self.processing_inputs = processing_inputs or [
|
|
{
|
|
"InputName": "input",
|
|
"AppManaged": False,
|
|
"S3Input": {
|
|
"S3Uri": "s3://{}/{}/processing/".format(self.bucket, self.prefix),
|
|
"LocalPath": "/opt/ml/processing/input",
|
|
"S3DataType": "S3Prefix",
|
|
"S3InputMode": "File",
|
|
"S3DataDistributionType": "FullyReplicated",
|
|
"S3CompressionType": "None",
|
|
},
|
|
}
|
|
]
|
|
self.processing_output_config = processing_output_config or {
|
|
"Outputs": [
|
|
{
|
|
"OutputName": "output",
|
|
"S3Output": {
|
|
"S3Uri": "s3://{}/{}/processing/".format(
|
|
self.bucket, self.prefix
|
|
),
|
|
"LocalPath": "/opt/ml/processing/output",
|
|
"S3UploadMode": "EndOfJob",
|
|
},
|
|
"AppManaged": False,
|
|
}
|
|
]
|
|
}
|
|
self.processing_resources = processing_resources or {
|
|
"ClusterConfig": {
|
|
"InstanceCount": 1,
|
|
"InstanceType": "ml.m5.large",
|
|
"VolumeSizeInGB": 10,
|
|
},
|
|
}
|
|
self.stopping_condition = stopping_condition or {
|
|
"MaxRuntimeInSeconds": 3600,
|
|
}
|
|
|
|
def save(self):
|
|
sagemaker = boto3.client("sagemaker", region_name=TEST_REGION_NAME)
|
|
|
|
params = {
|
|
"AppSpecification": self.app_specification,
|
|
"NetworkConfig": self.network_config,
|
|
"ProcessingInputs": self.processing_inputs,
|
|
"ProcessingJobName": self.processing_job_name,
|
|
"ProcessingOutputConfig": self.processing_output_config,
|
|
"ProcessingResources": self.processing_resources,
|
|
"RoleArn": self.role_arn,
|
|
"StoppingCondition": self.stopping_condition,
|
|
}
|
|
|
|
return sagemaker.create_processing_job(**params)
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_create_processing_job():
|
|
sagemaker = boto3.client("sagemaker", region_name=TEST_REGION_NAME)
|
|
|
|
processing_job_name = "MyProcessingJob"
|
|
role_arn = "arn:aws:iam::{}:role/FakeRole".format(ACCOUNT_ID)
|
|
container = "382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:1"
|
|
bucket = "my-bucket"
|
|
prefix = "my-prefix"
|
|
app_specification = {
|
|
"ImageUri": container,
|
|
"ContainerEntrypoint": ["python3", "app.py"],
|
|
}
|
|
processing_resources = {
|
|
"ClusterConfig": {
|
|
"InstanceCount": 2,
|
|
"InstanceType": "ml.m5.xlarge",
|
|
"VolumeSizeInGB": 20,
|
|
},
|
|
}
|
|
stopping_condition = {"MaxRuntimeInSeconds": 60 * 60}
|
|
|
|
job = MyProcessingJobModel(
|
|
processing_job_name,
|
|
role_arn,
|
|
container=container,
|
|
bucket=bucket,
|
|
prefix=prefix,
|
|
app_specification=app_specification,
|
|
processing_resources=processing_resources,
|
|
stopping_condition=stopping_condition,
|
|
)
|
|
resp = job.save()
|
|
resp["ProcessingJobArn"].should.match(
|
|
r"^arn:aws:sagemaker:.*:.*:processing-job/{}$".format(processing_job_name)
|
|
)
|
|
|
|
resp = sagemaker.describe_processing_job(ProcessingJobName=processing_job_name)
|
|
resp["ProcessingJobName"].should.equal(processing_job_name)
|
|
resp["ProcessingJobArn"].should.match(
|
|
r"^arn:aws:sagemaker:.*:.*:processing-job/{}$".format(processing_job_name)
|
|
)
|
|
assert "python3" in resp["AppSpecification"]["ContainerEntrypoint"]
|
|
assert "app.py" in resp["AppSpecification"]["ContainerEntrypoint"]
|
|
assert resp["RoleArn"] == role_arn
|
|
assert resp["ProcessingJobStatus"] == "Completed"
|
|
assert isinstance(resp["CreationTime"], datetime.datetime)
|
|
assert isinstance(resp["LastModifiedTime"], datetime.datetime)
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
name = "blah"
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/foobar"
|
|
test_processing_job = MyProcessingJobModel(processing_job_name=name, role_arn=arn)
|
|
test_processing_job.save()
|
|
processing_jobs = client.list_processing_jobs()
|
|
assert len(processing_jobs["ProcessingJobSummaries"]).should.equal(1)
|
|
assert processing_jobs["ProcessingJobSummaries"][0][
|
|
"ProcessingJobName"
|
|
].should.equal(name)
|
|
|
|
assert processing_jobs["ProcessingJobSummaries"][0][
|
|
"ProcessingJobArn"
|
|
].should.match(r"^arn:aws:sagemaker:.*:.*:processing-job/{}$".format(name))
|
|
assert processing_jobs.get("NextToken") is None
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs_multiple():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
name_job_1 = "blah"
|
|
arn_job_1 = "arn:aws:sagemaker:us-east-1:000000000000:x-x/foobar"
|
|
test_processing_job_1 = MyProcessingJobModel(
|
|
processing_job_name=name_job_1, role_arn=arn_job_1
|
|
)
|
|
test_processing_job_1.save()
|
|
|
|
name_job_2 = "blah2"
|
|
arn_job_2 = "arn:aws:sagemaker:us-east-1:000000000000:x-x/foobar2"
|
|
test_processing_job_2 = MyProcessingJobModel(
|
|
processing_job_name=name_job_2, role_arn=arn_job_2
|
|
)
|
|
test_processing_job_2.save()
|
|
processing_jobs_limit = client.list_processing_jobs(MaxResults=1)
|
|
assert len(processing_jobs_limit["ProcessingJobSummaries"]).should.equal(1)
|
|
|
|
processing_jobs = client.list_processing_jobs()
|
|
assert len(processing_jobs["ProcessingJobSummaries"]).should.equal(2)
|
|
assert processing_jobs.get("NextToken").should.be.none
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs_none():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
processing_jobs = client.list_processing_jobs()
|
|
assert len(processing_jobs["ProcessingJobSummaries"]).should.equal(0)
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs_should_validate_input():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
junk_status_equals = "blah"
|
|
with pytest.raises(ClientError) as ex:
|
|
client.list_processing_jobs(StatusEquals=junk_status_equals)
|
|
expected_error = f"1 validation errors detected: Value '{junk_status_equals}' at 'statusEquals' failed to satisfy constraint: Member must satisfy enum value set: ['Completed', 'Stopped', 'InProgress', 'Stopping', 'Failed']"
|
|
assert ex.value.response["Error"]["Code"] == "ValidationException"
|
|
assert ex.value.response["Error"]["Message"] == expected_error
|
|
|
|
junk_next_token = "asdf"
|
|
with pytest.raises(ClientError) as ex:
|
|
client.list_processing_jobs(NextToken=junk_next_token)
|
|
assert ex.value.response["Error"]["Code"] == "ValidationException"
|
|
assert (
|
|
ex.value.response["Error"]["Message"]
|
|
== 'Invalid pagination token because "{0}".'
|
|
)
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs_with_name_filters():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
for i in range(5):
|
|
name = "xgboost-{}".format(i)
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/foobar-{}".format(i)
|
|
MyProcessingJobModel(processing_job_name=name, role_arn=arn).save()
|
|
for i in range(5):
|
|
name = "vgg-{}".format(i)
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/barfoo-{}".format(i)
|
|
MyProcessingJobModel(processing_job_name=name, role_arn=arn).save()
|
|
xgboost_processing_jobs = client.list_processing_jobs(NameContains="xgboost")
|
|
assert len(xgboost_processing_jobs["ProcessingJobSummaries"]).should.equal(5)
|
|
|
|
processing_jobs_with_2 = client.list_processing_jobs(NameContains="2")
|
|
assert len(processing_jobs_with_2["ProcessingJobSummaries"]).should.equal(2)
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs_paginated():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
for i in range(5):
|
|
name = "xgboost-{}".format(i)
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/foobar-{}".format(i)
|
|
MyProcessingJobModel(processing_job_name=name, role_arn=arn).save()
|
|
xgboost_processing_job_1 = client.list_processing_jobs(
|
|
NameContains="xgboost", MaxResults=1
|
|
)
|
|
assert len(xgboost_processing_job_1["ProcessingJobSummaries"]).should.equal(1)
|
|
assert xgboost_processing_job_1["ProcessingJobSummaries"][0][
|
|
"ProcessingJobName"
|
|
].should.equal("xgboost-0")
|
|
assert xgboost_processing_job_1.get("NextToken").should_not.be.none
|
|
|
|
xgboost_processing_job_next = client.list_processing_jobs(
|
|
NameContains="xgboost",
|
|
MaxResults=1,
|
|
NextToken=xgboost_processing_job_1.get("NextToken"),
|
|
)
|
|
assert len(xgboost_processing_job_next["ProcessingJobSummaries"]).should.equal(1)
|
|
assert xgboost_processing_job_next["ProcessingJobSummaries"][0][
|
|
"ProcessingJobName"
|
|
].should.equal("xgboost-1")
|
|
assert xgboost_processing_job_next.get("NextToken").should_not.be.none
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs_paginated_with_target_in_middle():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
for i in range(5):
|
|
name = "xgboost-{}".format(i)
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/foobar-{}".format(i)
|
|
MyProcessingJobModel(processing_job_name=name, role_arn=arn).save()
|
|
for i in range(5):
|
|
name = "vgg-{}".format(i)
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/barfoo-{}".format(i)
|
|
MyProcessingJobModel(processing_job_name=name, role_arn=arn).save()
|
|
|
|
vgg_processing_job_1 = client.list_processing_jobs(NameContains="vgg", MaxResults=1)
|
|
assert len(vgg_processing_job_1["ProcessingJobSummaries"]).should.equal(0)
|
|
assert vgg_processing_job_1.get("NextToken").should_not.be.none
|
|
|
|
vgg_processing_job_6 = client.list_processing_jobs(NameContains="vgg", MaxResults=6)
|
|
|
|
assert len(vgg_processing_job_6["ProcessingJobSummaries"]).should.equal(1)
|
|
assert vgg_processing_job_6["ProcessingJobSummaries"][0][
|
|
"ProcessingJobName"
|
|
].should.equal("vgg-0")
|
|
assert vgg_processing_job_6.get("NextToken").should_not.be.none
|
|
|
|
vgg_processing_job_10 = client.list_processing_jobs(
|
|
NameContains="vgg", MaxResults=10
|
|
)
|
|
|
|
assert len(vgg_processing_job_10["ProcessingJobSummaries"]).should.equal(5)
|
|
assert vgg_processing_job_10["ProcessingJobSummaries"][-1][
|
|
"ProcessingJobName"
|
|
].should.equal("vgg-4")
|
|
assert vgg_processing_job_10.get("NextToken").should.be.none
|
|
|
|
|
|
@mock_sagemaker
|
|
def test_list_processing_jobs_paginated_with_fragmented_targets():
|
|
client = boto3.client("sagemaker", region_name="us-east-1")
|
|
for i in range(5):
|
|
name = "xgboost-{}".format(i)
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/foobar-{}".format(i)
|
|
MyProcessingJobModel(processing_job_name=name, role_arn=arn).save()
|
|
for i in range(5):
|
|
name = "vgg-{}".format(i)
|
|
arn = "arn:aws:sagemaker:us-east-1:000000000000:x-x/barfoo-{}".format(i)
|
|
MyProcessingJobModel(processing_job_name=name, role_arn=arn).save()
|
|
|
|
processing_jobs_with_2 = client.list_processing_jobs(NameContains="2", MaxResults=8)
|
|
assert len(processing_jobs_with_2["ProcessingJobSummaries"]).should.equal(2)
|
|
assert processing_jobs_with_2.get("NextToken").should_not.be.none
|
|
|
|
processing_jobs_with_2_next = client.list_processing_jobs(
|
|
NameContains="2",
|
|
MaxResults=1,
|
|
NextToken=processing_jobs_with_2.get("NextToken"),
|
|
)
|
|
assert len(processing_jobs_with_2_next["ProcessingJobSummaries"]).should.equal(0)
|
|
assert processing_jobs_with_2_next.get("NextToken").should_not.be.none
|
|
|
|
processing_jobs_with_2_next_next = client.list_processing_jobs(
|
|
NameContains="2",
|
|
MaxResults=1,
|
|
NextToken=processing_jobs_with_2_next.get("NextToken"),
|
|
)
|
|
assert len(processing_jobs_with_2_next_next["ProcessingJobSummaries"]).should.equal(
|
|
0
|
|
)
|
|
assert processing_jobs_with_2_next_next.get("NextToken").should.be.none
|