A twitter bot to provide interactive microfiction!
This python3 program uses tweepy and nltk to create procedural quest dialogue and post it to twitter for all who tweet at it.
-
Run the command in the bash shell from the project directory:
docker build . -t storyteller-bot -
Test your build from powershell with
docker run -it -e CONSUMER_KEY=$StorytellerConsumer -e CONSUMER_SECRET=$StorytellerConsumerSecret -e ACCESS_TOKEN=$StorytellerAccess -e ACCESS_TOKEN_SECRET=$StorytellerAccessSecret storyteller-bot
Note: Everything is in the bash shell for this part! This is also for digital ocean droplets, and twitter-bot-drop is the name of my digital ocean droplet that I'm making and storyteller-bot is the docker image name.
-
If you don't have anything registered as a docker-machine (which controls multiple instances of docker images) then you make one.
docker-machine create --driver digitalocean --digitalocean-access-token YOUR-ACCESS-TOKEN-HERE twitter-bot-drop -
Then this command sets your current shell environment to be your docker-machine shell environment
eval $(docker-machine env twitter-bot-drop) -
Then in your new shell you build your docker image
docker build . -t storyteller-bot -
And then deploy it! The only difference here is the -id instead of -it which just tells it you want it to be detached from your shell.
docker run -id -e CONSUMER_KEY=$StorytellerConsumer -e CONSUMER_SECRET=$StorytellerConsumerSecret -e ACCESS_TOKEN=$StorytellerAccess -e ACCESS_TOKEN_SECRET=$StorytellerAccessSecret storyteller-bot
Et voila! Functioning docker image running on your droplet (which is called a docker-machine)