Do this in the beeves-nlu-backend directory (make sure all your containers and images are cleaned and pruned):
docker build -t altanorhon/beeves:beeves-nlu-backend .
docker run --name bvn -v storage:/storage -p 8337:8337 altanorhon/beeves:beeves-nlu-backend -e "BEEVES_KEY=hunter2"
Where BEEVES_KEY is specified either as a cookie that all clients should send (with the key being BEEVES_KEY and the value hunter2) or as a GET parameter (e.g., localhost:8337/?beeves_key=hunter2)
docker run --name bvn -v storage:/storage -p 8337:8337 altanorhon/beeves:beeves-nlu-backend
Note that the host is going to be localhost by default, and the port is going to be 8337 (BEEV, from 8 3 3 7 )
However, by defining the BEEVES_SERVER_URL environment variable, you can set a custom URL for that script:
export BEEVES_SERVER_URL=example.com:8337
If you have set a BEEVES_KEY, you're going to want that too:
export BEEVES_KEY=hunter2
Run populate.sh to load up the example datasets:
./test/populate.sh
This POSTs a bunch of skill definitions that live in test/datasets. These are SnipsNLUEngine specifications.
There is also grok.sh, which can be used like this:
./test/grok.sh "beverage make me tea"
/,/skills,/skill: list the skills/skill/<skill_name>: get the original skill def/grok: POST a statement like this via curl:curl -d '{"q":"beverage make me coffee"}' -H "Content-Type: application/json" -X POST http://localhost:8337/grokand you get the result of SnipsNLUEngine.parse