Interactive:
docker run --name <INSTANCENAME> -e PORT=<PORT> -e APPNAME=<APPNAME> -v <APPFOLDER>:/app edgarrc/ai-deploy
Or as a daemon:
docker run -d --name <INSTANCENAME> -e PORT=<PORT> -e APPNAME=<APPNAME> -v <APPFOLDER>:/app edgarrc/ai-deploy
Parameters:
| Parameter | Value |
|---|---|
| INSTANCENAME | The docker instance name, usually the name of your project |
| PORT | tcp port used by pyramid service |
| APPNAME | entrypoint/cmd run that will be started |
| APPFOLDER | You have to map you app folder that contains your APPNAME |
Example, running the sampleapp:
Clone
git clone https://github.com/edgarrc/AI-deploy.git
cd AI-deploy
Run interactive
docker run --name testing -e PORT=8080 -e APPNAME=run.py -p 8080:80 -v $(pwd)/sampleapp:/app -it edgarrc/ai-deploy
Run as a daemon
sudo docker run -d --name testing -e PORT=80 -e APPNAME=run.py -p 80:80 -v $(pwd)/sampleapp:/app -it edgarrc/ai-deploy
If you don't have docker installed, you can try on Play With Docker lab
The test url of the sampleapp is:
http://{ip}:{port}/test
If you are on a linux terminal, you can use elinks
apt-get update && apt-get install elinks -y
elinks http://172.18.0.22/test
You should see the "success" word.
You can restart it:
sudo docker restart <INSTANCENAME>
You don't have to build this image as it is avaialbe on docker hub, but if you whish to build, then run:
git clone https://github.com/edgarrc/AI-deploy.git
cd AI-deploy
docker image build -t edgarrc/ai-deploy .
Now you can run with your local generated image instead using:
docker run -e PORT=8080 -e APPNAME=run.py -p 8080:80 -v $(pwd)/sampleapp:/app -it edgarrc/ai-deploy