Building and Dockerizing a Python Application with Multi-stage Builds
Optimizing Docker Images and Streamlining Python Application Deployment
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Introduction:
In this tutorial, we will explore how to build and Dockerize a Python application using multi-stage builds. Multi-stage builds provide an efficient way to optimize Docker images by separating the build environment from the final production image.
Note: This approach helps reduce the size of the resulting Docker image and ensures that only necessary dependencies are included.
FROM python:3.9-slim AS build
# Install tools required for the project
RUN apt-get update && apt-get install -y git
# List project dependencies with requirements.txt
# This layer is only re-built when requirements.txt is updated
COPY requirements.txt /app/
WORKDIR /app
RUN pip install --no-cache-dir -r requirements.txt
# Copy the entire project and build it
# This layer is rebuilt when a file changes in the project directory
COPY . /app/
# Set the working directory for the project
WORKDIR /app
# Build the application
RUN python setup.py install
# Stage 2: Final Image
FROM python:3.9-slim
# Copy the built application from the previous stage
COPY --from=build /usr/local/lib/python3.9/site-packages /usr/local/lib/python3.9/site-packages
# Set the working directory for the project
WORKDIR /app
ENTRYPOINT ["python"]
CMD ["app.py"]
In this above Dockerfile:
Build: This stage sets up the build environment. It starts with the
python:3.9-slim
base image. It installs the necessary tools, copies therequirements.txt
file, and installs the project dependencies usingpip install
. Then, it copies the entire project code and sets the working directory to/app
. Finally, it builds the application usingpython
setup.py
install
.Final Image: This stage is the final image that will be used to run the Python application. It starts with the
python:3.9-slim
base image. It copies the built application from the previous stage to the appropriate location in the final image. Then, it sets the working directory to/app
and specifies theENTRYPOINT
andCMD
to run theapp.py
file.
Please make sure to adjust the file names (requirements.txt
, app.py
, setup.py
) and the directory structure according to your Python application's specific requirements.
Reference:
https://docs.docker.com/develop/develop-images/dockerfile_best-practices/