Containerize Python Server with Docker
Containerize A Python Web Server
#script
Configure Filesystem
pwd and highlight project directory
```
mkdir containerize-python-server
cd !$
mkdir src
```
Within your project directory, create a `src` directory for our application code.
Create Server
create simple_server.py
In the `src` directory, create a file called `simple_server.py`. This file will run our simple http server:
```
from http.server import HTTPServer, SimpleHTTPRequestHandler
```
We will use an HTTPServer class and request handler from the python standard library to keep things as simple as possible.
```
def run(server_class=HTTPServer, handler_class=SimpleHTTPRequestHandler):
"""Entrypoint for python server"""
server_address = ("0.0.0.0", 8000)
httpd = server_class(server_address, handler_class)
print("launching server...")
httpd.serve_forever()
```
Define a function called `run` that instantiates and runs an instance of `HTTPServer`. Notice the `server_address` argument tells our HTTPServer instance to listen on port 8000 of our local machine.
```
if _name_ == "__main__":
run()
```
We will execute our `run` function whenever this python module is invoked.
Validate Server Functionality
```
python3 src/simple_server.py
```
We can run the server on our local machine by executing it as a python file.
from a new terminal
```
curl -iv localhost:8000
```
Validate the server is running by opening a new tab and curling port 8000 to confirm you get a response.
Looks good!
We know that it works, so let's kill the server by hitting `ctrl-c`.
Create Dockerfile
create Dockerfile
Now let's add a Dockerfile to define the container image we will use to run our web server:
```
FROM python:3.8
```
Use an image with Python 3.8 pre-installed as our base. This will give us a python 3.8 interpreter in the container.
```
ENV SRC_DIR /usr/bin/src/webapp/src
COPY src/* ${SRC_DIR}/
WORKDIR ${SRC_DIR}
```
Copy the files in our project directory’s `src` folder into the container at `/usr/bin/src/webapp/src`. Then set the image’s working directory to the `src` directory.
```
ENV PYTHONUNBUFFERED=1
```
Set `PYTHONUNBUFFERED=1` as an environment variable so that python sends print and log statements directly to `stdout`. If we did not set this, we would not see logs from our container because they would be sent to a buffer.
```
CMD ["python", "simple_server.py"]
```
Finally, use the `CMD` directive to tell the container a default command to execute when we run it. In this case, we execute our `simple_server.py` script.
Build Image
```
docker build . -t simple_server
```
Build the image and tag it as `simple_server` with the `-t` flag.
Run Image
```
docker run -p 8000:8000 simple_server
```
Run the image and forward port `8000` on your local machine to port `8000` in the docker container with the `-p` flag.
Validate Server Functionality
from a different terminal
```
curl -iv localhost:8000
```
Validate your containerized server is running with a curl command just like before.
And you're done! You've containerized a python server.
You can kill the dockerized process by hitting `ctrl-c` .
In my next videos I will show you how to run a django application entirely with containers.
Auf dieser Seite können Sie das Online-Video Containerize Python Server with Docker mit der Dauer online in guter Qualität ansehen, das der Benutzer Jonathan Meier 14 März 2020 hochgeladen hat, den Link mit Freunden und Bekannten teilen, dieses Video wurde auf Youtube bereits 3,021 Mal angesehen und es wurde von 36 den Zuschauern gefallen. Viel Spaß beim Betrachtenden Zuschauern gefallen!
