Aws codebuild fails since buildspec is unable to install python version

When working with AWS CodeBuild, it is not uncommon to encounter issues related to the installation of a specific Python version. This can lead to build failures and hinder the progress of your project. In this article, we will explore three different solutions to resolve the problem and ensure a successful build process.

Solution 1: Specify Python Version in buildspec.yml

One way to address the Python version installation issue is by explicitly specifying the desired version in the buildspec.yml file. This file is used to define the build specifications for AWS CodeBuild.

version: 0.2

phases:
  install:
    runtime-versions:
      python: 3.8.12
    commands:
      - pip install --upgrade pip
      - pip install -r requirements.txt
  build:
    commands:
      - python build.py

In the above example, we have specified the Python version as 3.8.12 under the “runtime-versions” section of the “install” phase. This ensures that the desired Python version is installed before executing any commands.

Solution 2: Use a Custom Docker Image

If specifying the Python version in the buildspec.yml file does not resolve the issue, an alternative approach is to use a custom Docker image. This allows you to have more control over the build environment and ensures that the required Python version is available.

First, create a Dockerfile with the following contents:

FROM python:3.8.12

WORKDIR /app

COPY requirements.txt .

RUN pip install --upgrade pip
RUN pip install -r requirements.txt

COPY . .

CMD ["python", "build.py"]

In the above Dockerfile, we specify the base image as the desired Python version (3.8.12 in this case). We then copy the project files, install the required dependencies, and finally execute the build.py script.

Build and push the Docker image to a container registry of your choice. Then, update your buildspec.yml file to use the custom Docker image:

version: 0.2

phases:
  build:
    commands:
      - docker build -t my-custom-image .
      - docker run my-custom-image

By using a custom Docker image, you ensure that the desired Python version is available during the build process.

Solution 3: Utilize a Python Version Manager

If the previous solutions do not work for your specific scenario, you can consider using a Python version manager such as pyenv. This allows you to manage multiple Python versions on your development machine and select the appropriate version for your project.

First, install pyenv by following the instructions provided in the official documentation: https://github.com/pyenv/pyenv#installation

Once pyenv is installed, navigate to your project directory and set the desired Python version:

$ pyenv local 3.8.12

This sets the Python version to 3.8.12 for your project. Now, when you run the build command, AWS CodeBuild will use the specified Python version.

After exploring these three solutions, it is evident that the best option depends on your specific requirements and constraints. If you have full control over the build environment, using a custom Docker image provides the most flexibility. However, if you prefer a simpler approach, specifying the Python version in the buildspec.yml file or utilizing a Python version manager can also be effective.

Ultimately, the choice between these options should be based on factors such as project complexity, team preferences, and the need for reproducibility across different environments.

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11 Responses

    1. Actually, its not AWSs responsibility to provide a default Python version. Its up to you to choose which version to use based on your projects needs. Take some initiative and stop complaining.

    1. Ugh, tell me about it! Its baffling how Python versioning continues to be a headache, even in the current year. Youd think by now they would have sorted out this mess. Guess well keep banging our heads against the wall. 🤦‍♂️

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