Hi There,
I had the following problem when importing aiplatform package in executor of Vertex AI workbench. This issue did not occur when I manually run the code in the Vertex AI workbench. However, the error came when I set a executor to run my code on schedule.
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Here is the script
from google.cloud import aiplatform
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Here is the error message:
ContextualVersionConflict Traceback (most recent call last)
/tmp/ipykernel_295/605285511.py in <module>
63
64 # Google cloud
---> 65 from google.cloud import aiplatform
66 from datetime import datetime
67 from google.cloud import bigquery
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform/__init__.py in <module>
22
23
---> 24 from google.cloud.aiplatform import initializer
25
26 from google.cloud.aiplatform.datasets import (
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform/initializer.py in <module>
29 from google.auth.exceptions import GoogleAuthError
30
---> 31 from google.cloud.aiplatform import compat
32 from google.cloud.aiplatform.constants import base as constants
33 from google.cloud.aiplatform import utils
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform/compat/__init__.py in <module>
16 #
17
---> 18 from google.cloud.aiplatform.compat import services
19 from google.cloud.aiplatform.compat import types
20
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform/compat/services/__init__.py in <module>
16 #
17
---> 18 from google.cloud.aiplatform_v1beta1.services.dataset_service import ( 19 client as dataset_service_client_v1beta1,
20 )
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform_v1beta1/__init__.py in <module>
15 #
16
---> 17 from .services.dataset_service import DatasetServiceClient
18 from .services.dataset_service import DatasetServiceAsyncClient
19 from .services.deployment_resource_pool_service import (
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform_v1beta1/services/dataset_service/__init__.py in <module>
14 # limitations under the License.
15 #
---> 16 from .client import DatasetServiceClient
17 from .async_client import DatasetServiceAsyncClient
18
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform_v1beta1/services/dataset_service/client.py in <module>
55 from google.protobuf import struct_pb2 # type: ignore
56 from google.protobuf import timestamp_pb2 # type: ignore
---> 57 from .transports.base import DatasetServiceTransport, DEFAULT_CLIENT_INFO
58 from .transports.grpc import DatasetServiceGrpcTransport
59 from .transports.grpc_asyncio import DatasetServiceGrpcAsyncIOTransport
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform_v1beta1/services/dataset_service/transports/__init__.py in <module>
17 from typing import Dict, Type
18
---> 19 from .base import DatasetServiceTransport
20 from .grpc import DatasetServiceGrpcTransport
21 from .grpc_asyncio import DatasetServiceGrpcAsyncIOTransport
/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform_v1beta1/services/dataset_service/transports/base.py in <module>
40 DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
41 gapic_version=pkg_resources.get_distribution(
---> 42 "google-cloud-aiplatform",
43 ).version,
44 )
/opt/conda/lib/python3.7/site-packages/pkg_resources/__init__.py in get_distribution(dist)
469 dist = Requirement.parse(dist)
470 if isinstance(dist, Requirement):
--> 471 dist = get_provider(dist)
472 if not isinstance(dist, Distribution):
473 raise TypeError("Expected string, Requirement, or Distribution", dist)
/opt/conda/lib/python3.7/site-packages/pkg_resources/__init__.py in get_provider(moduleOrReq)
345 """Return an IResourceProvider for the named module or requirement"""
346 if isinstance(moduleOrReq, Requirement):
--> 347 return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0]
348 try:
349 module = sys.modules[moduleOrReq]
/opt/conda/lib/python3.7/site-packages/pkg_resources/__init__.py in require(self, *requirements)
889 included, even if they were already activated in this working set.
890 """
--> 891 needed = self.resolve(parse_requirements(requirements))
892
893 for dist in needed:
/opt/conda/lib/python3.7/site-packages/pkg_resources/__init__.py in resolve(self, requirements, env, installer, replace_conflicting, extras)
780 # Oops, the "best" so far conflicts with a dependency
781 dependent_req = required_by[req]
--> 782 raise VersionConflict(dist, req).with_context(dependent_req)
783
784 # push the new requirements onto the stack
ContextualVersionConflict: (google-cloud-bigquery 3.3.6 (/opt/conda/lib/python3.7/site-packages), Requirement.parse('google-cloud-bigquery<3.0.0dev,>=1.15.0'), {'google-cloud-aiplatform'})-----------------------------------------------------------------------------------------------------
Seeking help from everyone. Thank you
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