12/18/2023 0 Comments PipenvThis will give you faster builds if you have made sure to pull previous builds. Notice that initially we only copy requirements.txt, so that changes to the code won’t invalidate the caching at this point. That way dependency installation can be cached, and packages will need to be reinstalled only if requirements.txt changes.įROM python:3.11 COPY requirements.txt /tmp RUN pip install -r requirements.txtĬOPY. If you separate out your dependencies into a separate file, traditionally named requirements.txt, you can copy in only that file, and install it earlier. tmp/myapp layer in the Docker cache, as well as all subsequent lines in the Dockerfile.Īnd so every time you rebuild the image, you will need to reinstall the dependencies and your code. The problem with this setup is that every time you change the code, that invalidates the COPY. Need to ship quickly, and don’t have time to figure out every detail on your own? Read the concise, action-oriented Python on Docker Production Handbook. Note: Outside any specific best practice being demonstrated, the Dockerfiles in this article are not examples of best practices, since the added complexity would obscure the main point of the article.
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