如何解决升级 Python 版本以运行和创建 Sagemaker Endpoint 的自定义容器
[更新] 我们目前正在使用可在此处找到的构建您自己的工作流程创建用于注册优化的多臂强盗模型(基本上用我们自己的模型代替):
我们的项目目录设置为: Project Directory
问题是我添加了一些代码,包括仅自 Python 3.7 以来可用的数据类库,而我们的项目似乎一直使用 3.6,导致在运行 Cloud Formation 设置时失败。我们的 Cloudwatch 日志中的错误是:
2021-03-31T11:04:11.077-05:00 Copy
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/gunicorn/arbiter.py",line 589,in spawn_worker
worker.init_process()
File "/usr/local/lib/python3.6/dist-packages/gunicorn/workers/base.py",line 134,in init_process
self.load_wsgi()
File "/usr/local/lib/python3.6/dist-packages/gunicorn/workers/base.py",line 146,in load_wsgi
self.wsgi = self.app.wsgi()
File "/usr/local/lib/python3.6/dist-packages/gunicorn/app/base.py",line 67,in wsgi
self.callable = self.load()
File "/usr/local/lib/python3.6/dist-packages/gunicorn/app/wsgiapp.py",line 58,in load
return self.load_wsgiapp()
File "/usr/local/lib/python3.6/dist-packages/gunicorn/app/wsgiapp.py",line 48,in load_wsgiapp
return util.import_app(self.app_uri)
File "/usr/local/lib/python3.6/dist-packages/gunicorn/util.py",line 359,in import_app
mod = importlib.import_module(module)
File "/usr/lib/python3.6/importlib/__init__.py",line 126,in import_module
return _bootstrap._gcd_import(name[level:],package,level)
File "<frozen importlib._bootstrap>",line 994,in _gcd_import
File "<frozen importlib._bootstrap>",line 971,in _find_and_load
File "<frozen importlib._bootstrap>",line 955,in _find_and_load_unlocked
File "<frozen importlib._bootstrap>",line 665,in _load_unlocked
File "<frozen importlib._bootstrap_external>",line 678,in exec_module
File "<frozen importlib._bootstrap>",line 219,in _call_with_frames_removed
File "/opt/program/wsgi.py",line 1,in <module>
import predictor as myapp
File "/opt/program/predictor.py",line 9,in <module>
from model_contents.model import MultiArmBandit,BanditParameters
File "/opt/program/model_contents/model.py",line 7,in <module>
from dataclasses import dataclass,field,asdict
Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/gunicorn/arbiter.py",in spawn_worker worker.init_process() File "/usr/local/lib/python3.6/dist-packages/gunicorn/workers/base.py",in init_process self.load_wsgi() File "/usr/local/lib/python3.6/dist-packages/gunicorn/workers/base.py",in load_wsgi self.wsgi = self.app.wsgi() File "/usr/local/lib/python3.6/dist-packages/gunicorn/app/base.py",in wsgi self.callable = self.load() File "/usr/local/lib/python3.6/dist-packages/gunicorn/app/wsgiapp.py",in load return self.load_wsgiapp() File "/usr/local/lib/python3.6/dist-packages/gunicorn/app/wsgiapp.py",in load_wsgiapp return util.import_app(self.app_uri) File "/usr/local/lib/python3.6/dist-packages/gunicorn/util.py",in import_app mod = importlib.import_module(module) File "/usr/lib/python3.6/importlib/__init__.py",in import_module return _bootstrap._gcd_import(name[level:],level) File "<frozen importlib._bootstrap>",in _gcd_import File "<frozen importlib._bootstrap>",in _find_and_load File "<frozen importlib._bootstrap>",in _find_and_load_unlocked File "<frozen importlib._bootstrap>",in _load_unlocked File "<frozen importlib._bootstrap_external>",in exec_module File "<frozen importlib._bootstrap>",in _call_with_frames_removed File "/opt/program/wsgi.py",in <module> import predictor as myapp File "/opt/program/predictor.py",in <module> from model_contents.model import MultiArmBandit,BanditParameters File "/opt/program/model_contents/model.py",in <module> from dataclasses import dataclass,asdict
2021-03-31T11:04:11.077-05:00
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ModuleNotFoundError: No module named 'dataclasses'
ModuleNotFoundError: No module named 'dataclasses'
我们更新的 Dockerfile 是:
# This is a Python 3 image that uses the nginx,gunicorn,flask stack
# for serving inferences in a stable way.
FROM ubuntu:18.04
# Retrieves information about what packages can be installed
RUN apt-get -y update && apt-get install -y --no-install-recommends \
wget \
python3-pip \
python3.8 \
python3-setuptools \
nginx \
ca-certificates \
&& rm -rf /var/lib/apt/lists/*
# Set python 3.8 as default
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.8 1
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1
# Here we get all python packages.
RUN pip --no-cache-dir install numpy boto3 flask gunicorn
# Set some environment variables. PYTHONUNBUFFERED keeps Python from buffering our standard
# model_output stream,which means that logs can be delivered to the user quickly. PYTHONDONTWRITEBYTECODE
# keeps Python from writing the .pyc files which are unnecessary in this case. We also update
# PATH so that the train and serve programs are found when the container is invoked.
ENV PYTHONUNBUFFERED=TRUE
ENV PYTHONDONTWRITEBYTECODE=TRUE
ENV PATH="/opt/program:${PATH}"
ENV PYTHONPATH /model_contents
# Set up the program in the image
COPY bandit/ /opt/program/
WORKDIR /opt/program/
RUN chmod +x /opt/program/serve && chmod +x /opt/program/train
LABEL git_tag=$GIT_TAG
我不确定 nginx.conf 文件是否默认为 Py 3.6,所以我想确保在没有太多更改的情况下升级到 Py 3.7 或 3.8 不是一个大麻烦。
解决方法
您可以在安装 Python3.8 后使用 apt-get
和以下 RUN
命令更新 Dockerfile
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.8 1
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1
第一个 RUN
命令会将 /usr/bin/python
链接到 /usr/bin/python3.8
,第二个命令会将 /usr/bin/python3
链接到 /usr/bin/python3.8
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