无法将Flask-Docker代码部署至AWS EB：已存配置文件仍报错

错误日志 #

Creating application version archive "app-6c68-230807_154922".
Uploading qube-flask-app/app-6c68-230807_154922.zip to S3. This may take a while.
Upload Complete.
2023-08-07 20:49:24    INFO    Environment update is starting.      
2023-08-07 20:49:29    INFO    Deploying new version to instance(s).
2023-08-07 20:49:32    ERROR   Instance deployment: Both 'Dockerfile' and 'Dockerrun.aws.json' are missing in your source bundle. Include at least one of them. The deployment failed.
2023-08-07 20:49:32    ERROR   Instance deployment failed. For details, see 'eb-engine.log'.
2023-08-07 20:49:35    ERROR   [Instance: i-0d86da861e1f288e2] Command failed on instance. Return code: 1 Output: Engine execution has encountered an error..
2023-08-07 20:49:35    INFO    Command execution completed on all instances. Summary: [Successful: 0, Failed: 1].
2023-08-07 20:49:35    ERROR   Unsuccessful command execution on instance id(s) 'i-0d86da861e1f288e2'. Aborting the operation.

问题描述 #

本地同时存在Dockerfile和Dockerrun.aws.json文件，但无论使用AWS EB CLI部署还是手动压缩文件上传，均收到上述错误提示，已上传eb-engine.log供排查。

相关文件内容 #

Dockerfile #

# Use the official Python image as a base image
FROM python:3.9

# Set the working directory inside the container
WORKDIR /app

# Copy the requirements.txt file to the working directory
COPY requirements.txt .

# Install the required Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Expose the port that your Flask app will run on (default is usually 5000)
EXPOSE 5000

# Command to start the Flask app with a volume mount
CMD ["python", "-m", "flask", "run", "--host", "0.0.0.0"]

Dockerrun.aws.json #

{
    "AWSEBDockerrunVersion": "1",
    "Image": {
      "Name": "577826555055.dkr.ecr.us-east-1.amazonaws.com/qube-flask-app-dev:latest",
      "Update": "true"
    },
    "Ports": [
      {
        "ContainerPort": 80
      }
    ]
  }

排查与解决方案 #

• 检查压缩包结构：确保Dockerfile和Dockerrun.aws.json位于压缩包的根目录，而非嵌套在子文件夹中。手动压缩时，直接选中目标文件压缩，不要压缩包含这些文件的父文件夹。
• CLI部署路径验证：执行eb deploy前，用ls命令确认当前工作目录下存在这两个文件，避免在上级目录执行部署命令导致路径错误。
• 文件名大小写检查：AWS EB对文件名大小写敏感，确认文件名严格为Dockerfile（首字母大写，无后缀）和Dockerrun.aws.json，无拼写或大小写错误。
• 排除规则检查：查看项目中的.gitignore或.ebignore文件，确保这两个文件未被添加到排除列表，导致打包时未被包含进部署包。
• 端口一致性修正：Dockerfile中EXPOSE的端口为5000，但Dockerrun.aws.json中配置的ContainerPort为80，端口不匹配会导致后续访问失败，建议统一端口（例如将Dockerfile的EXPOSE改为80，或调整Dockerrun.aws.json的ContainerPort为5000）。

内容的提问来源于stack exchange，提问作者user17281101