Detailed explanation of the process of docker packaging Python environment

The steps of docker packaging Python environment are as follows:

1 Export the dependency packages under pip list

pip freeze > requirements.txt

Put the exported requirements.txt in the docker_test directory

docker_test is the code source folder to be packaged. The docker_test folder of this demo should have requirements.txt and app.py files

2. Write the Dockfile

Create a Dockerfile in the same directory as docker_test. The format is as follows:

#Base image based on FROM python:3.9.6

# Maintainer information MAINTAINER name [email protected]

# Add the code in the docker_test directory to the code folder in the image (there is a space between the two directory parameters)

ADD ./docker_test /code

# Set the code folder to be the working directory WORKDIR /code

# Installation support RUN pip install -r requirements.txt

#Run the app.py file when docker is runningCMD ["python","/code/app.py"]

3. Create an image

docker build -t imagename Dockerfilepath 

# Dockerfilepath: The name of the folder where the Dockerfile is located. The current directory is "." 

docker build -t d_t .

4 Run the image

docker run -t -i d_t

5 Operation Results

ps: Let's take a look at the docker packaged Python program

Steps: Prepare the environment - Copy the Python program - Start the program

For simplicity, our Python program is a Python file app.py

app.py

from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello():
    return "hello docker"
if __name__ == '__main__':
    app.run(host="0.0.0.0", port=5000)

Dockerfile

FROM python:2.7
LABEL maintainer="Peng Xiao<[email protected]>"
RUN pip install flask
COPY app.py /app/
WORKDIR /app
EXPOSE 5000
CMD ["python", "app.py"]

Build image and start container

docker build -t soymilk/python-test .
docker run -d soymilk/python-test

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