dlib 库未安装在 gcloud 上

Question

我正在 google cloud run 上部署一个烧瓶应用程序，但我遇到了关于在 dlib 库上安装的问题。 dlib 开始安装，然后进入循环构建 dlib 轮，然后在一段时间后抛出错误。 CMake 库已经安装成功。

这里是 Dockerfile

# Use the official lightweight Python image.
# https://hub.docker.com/_/python
FROM python:3.8-slim

# Allow statements and log messages to immediately appear in the Knative logs
ENV PYTHONUNBUFFERED True

# Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./

# Install production dependencies.
#RUN apt-get update && apt-get install -y cmake
#RUN sudo apt-get update && sudo apt-get install build-essential
#RUN apt-get update && apt-get install build-essential cmake

RUN apt update && apt install -y gcc clang clang-tools cmake python3
RUN pip install dlib

RUN pip install --no-cache-dir -r requirements.txt
RUN pip install gunicorn

# Run the web service on container startup. Here we use the gunicorn
# webserver, with one worker process and 8 threads.
# For environments with multiple CPU cores, increase the number of workers
# to be equal to the cores available.
# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 main:app

这是错误

Building wheels for collected packages: dlib, face-recognition-models
  Building wheel for dlib (setup.py): started
  Building wheel for dlib (setup.py): still running...
  Building wheel for dlib (setup.py): still running...
  Building wheel for dlib (setup.py): still running...
  Building wheel for dlib (setup.py): still running...
  Building wheel for dlib (setup.py): still running...
  Building wheel for dlib (setup.py): still running...
  Building wheel for dlib (setup.py): still running...
ERROR
ERROR: build step 0 "gcr.io/cloud-builders/docker" failed: step exited with non-zero status: 2

Answer 1

在将应用程序部署到 Cloud Run 时使用 gcloud 命令：gcloud run deploy 将允许您在 Cloud Build 中构建映像只需 10 分钟。镜像构建成功后，会自动部署到 Cloud Run，但是如果失败，则会收到超时错误或 Cloud Run 部署错误：

部署失败

错误：(gcloud.run.deploy) DEADLINE_EXCEEDED

根据这个link，dlib和必要的包会被安装5-10分钟导致你失败​​。

如何修复和部署？

您应该手动创建容器映像并将其部署到 Cloud Run。

1. 在 Artifacts 注册表中创建 Docker 存储库：

gcloud artifacts repositories create AR-REPO-NAME --repository-format=docker \
--location=us-central1 --description="Docker repository"

• 将 AR-REPO-NAME 替换为您首选的 Docker 存储库名称。

1. 构建带有--timeout标志的Docker镜像以延长镜像的总构建时间：

gcloud builds submit --tag us-central1-docker.pkg.dev/PROJECT-ID/AR-NAME/IMAGE-NAME \
/path/to/your/application --timeout=30m

• 将 PROJECT-ID 替换为您的 Cloud 项目 ID
• 将 IMAGE-NAME 替换为您喜欢的图片名称
• 将/path/to/your/application替换为您的应用程序和Dockerfile目录

4. 将容器映像部署到 Cloud Run：

gcloud run deploy SERVICE-NAME --image IMAGE_URL

• 将 SERVICE-NAME 替换为您首选的 Cloud Run 服务名称
• 将 IMAGE_URL 替换为您在 Artifacts Registry 中的容器映像 URL，例如：

gcloud run deploy SERVICE-NAME \
--image us-central1-docker.pkg.dev/PROJECT-ID/AR-REPO-NAME/IMAGE-NAME