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fix: update system test_model_upload to use BUILD_SPECIFIC_GCP_PROJECT #1043

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merged 1 commit into from
Mar 1, 2022
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fix: update system test_model_upload to use BUILD_SPECIFIC_GCP_PROJECT #1043

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13 changes: 6 additions & 7 deletions tests/system/aiplatform/test_model_upload.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,29 +19,28 @@

import pytest

from google import auth as google_auth
from google.cloud import aiplatform
from google.cloud import storage

from tests.system.aiplatform import e2e_base

# TODO(vinnys): Replace with env var `BUILD_SPECIFIC_GCP_PROJECT` once supported
_, _TEST_PROJECT = google_auth.default()
_TEST_LOCATION = "us-central1"

_XGBOOST_MODEL_URI = "gs://cloud-samples-data-us-central1/vertex-ai/google-cloud-aiplatform-ci-artifacts/models/iris_xgboost/model.bst"


@pytest.mark.usefixtures("delete_staging_bucket")
class TestModel(e2e_base.TestEndToEnd):
_temp_prefix = f"{_TEST_PROJECT}-vertex-staging-{_TEST_LOCATION}"

_temp_prefix = "temp_vertex_sdk_e2e_model_upload_test"

def test_upload_and_deploy_xgboost_model(self, shared_state):
"""Upload XGBoost model from local file and deploy it for prediction. Additionally, update model name, description and labels"""

aiplatform.init(project=_TEST_PROJECT, location=_TEST_LOCATION)
aiplatform.init(
project=e2e_base._PROJECT, location=e2e_base._LOCATION,
)

storage_client = storage.Client(project=_TEST_PROJECT)
storage_client = storage.Client(project=e2e_base._PROJECT)
model_blob = storage.Blob.from_string(
uri=_XGBOOST_MODEL_URI, client=storage_client
)
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