aws / aws/sagemaker-python-sdk
[Bug]: PySDK V3: pydantic-core (2.42.0) incompatibility with sagemaker.ai_registry dataset import
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描述
**PySDK Version**
- [ ] PySDK V3 (3.x)
**Describe the bug**
Fails with error below to import `from sagemaker.ai_registry.dataset import DataSet `
`SystemError: The installed pydantic-core version (2.42.0) is incompatible with the current pydantic version, which requires 2.41.5. If you encounter this error, make sure that you haven't upgraded pydantic-core manually.`
**To reproduce**
Run the below code in SageMakerAI Studio notebooks
!pip install --force-reinstall sagemaker sagemaker-serve sagemaker-mlops sagemaker-train sagemaker-core
or
!pip install 'sagemaker>=3.0,<4.0' boto3 pydantic-core -q --force-reinstall --no-deps # failed
from sagemaker.ai_registry.dataset import DataSet
**Expected behavior**
Fails with error below to import `from sagemaker.ai_registry.dataset import DataSet `
`SystemError: The installed pydantic-core version (2.42.0) is incompatible with the current pydantic version, which requires 2.41.5. If you encounter this error, make sure that you haven't upgraded pydantic-core manually.`
**Screenshots or logs**
If applicable, add screenshots or logs to help explain your problem.
**System information**
A description of your system. Please provide:
- **SageMaker Python SDK version**: V3
- **Framework name (eg. PyTorch) or algorithm (eg. KMeans)**:
- **Framework version**:
- **Python version**:
- **CPU or GPU**: SageMakerAI Studio notebooks
- **Custom Docker image (Y/N)**: N
**Additional context**
Add any other context about the problem here.
贡献指南
调研方向
首先,在 SageMaker AI Studio notebook 中运行列出的 pip 命令,然后复现从 sagemaker.ai_registry.dataset 的导入。检查 sagemaker、sagemaker-core 和 pydantic 的包依赖声明,以确定不兼容的 pydantic-core 约束。安装命令成功完成,并且导入 DataSet 不再引发所报告的版本错误,即表示完成。
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评估
- 技术栈
- aws, python
- 领域
- machine-learning
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 冷清
- 描述清晰度
- 基本清楚
- 新手友好度
- 52/100