Hello Everyone,
In this article, I will demonstrate how to create your Docker based Python runtime environment.
Assume you’re in the folder where you have your python code in a file named main.py and requirements.txt
Lets first build our Python container with this setup.
With your favorite editor, open a file named pyDockerfile, lets go with custom names instead of default Dockerfile, It would be easy to manage. But its your choice, I am going with pyDockerfile
And add below code
FROM python:3.6
RUN mkdir /app
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY main.py .
ENTRYPOINT ["python"]
CMD ["main.py"]
We are downloading/pulling Python3.6 image
creating /app directory inside the container
switching context or as current working directory to /app
copy the requirements.txt file
install the requirements with pip
copy main source code, which is in main.py in my case
Adding entrypoint as python so strictly my container will accept python based arguments.
and executing my code in main.py
In your host machine lets create a sample requirements.txt file as
requests
And main.py
import requests
url = {
"google": "https://google.com",
"azure" : "https://portal.azure.com"
}
for item in url :
req = requests.get(url[item])
print(f"{item}", req.status_code)
Now lets build our image
$ docker build -t pyrunner -f pyDockerfile .
adding tag to our image as pyrunner
as I have used custom name for dockerfile pyDockerfile
once image created lats verify
docker image list
# or
docker images
Verify output of our images by running
docker container run --rm -it pyrunner
You should see output as
google 200
azure 200
Lets modify our code in main.py as
import requests
url = {
"facebook": "https://facebook.com",
"google": "https://google.com",
"azure" : "https://portal.azure.com"
}
for item in url :
req = requests.get(url[item])
print(f"{item}", req.status_code)
We have added a new URL for facebook.
Lets start a container with command as below
docker container run --rm -it -v $(pwd):/app pyrunner
--rm : this is delete the container immediately after execution completed.
-v we are using volume concept and mounting the current directory where we havemain.py and requirements.txt file and mounting at /app mount point in the remote directory.
and you should seeing the output as below
facebook 200
google 200
azure 200
so as you have seen we have done changes to our code and our container adopted that automatically in its next execution.
