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bin
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src
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Procfile
README.md
app.json
build.sbt
engine.json
sbt
sbt-launch.jar
sbt.bat

README.md

PredictionIO Engine Heroku

Run Locally:

  1. Start Postgres

  2. Set your PredictionIO app's access key and app name in your env vars:

     export ACCESS_KEY=<YOUR ACCESS KEY>
     export APP_NAME=<YOUR APP NAME>
    

    Note: These values come from the apps defined in your event server.

  3. Train the app:

     source bin/env.sh && ./sbt "runMain TrainApp"
    
  4. Start the server:

     source bin/env.sh && ./sbt "runMain ServerApp"
    
  5. Check the status of your engine:

    http://localhost:8000

  6. Check out the recommendations for an item:

    Note: Must be an item that has events

     curl -H "Content-Type: application/json" -d '{ "items": ["i11"], "num": 4 }' -k http://localhost:8000/queries.json
    

Run on Heroku:

  1. Deploy: Deploy on Heroku

  2. Remove the auto-added Heroku Postgres addon:

     heroku addons:destroy heroku-postgresql
    
  3. Attach your PredictionIO Event Server's Postgres:

     heroku addons:attach YOUR-ADDON-ID
    

    Note: You can find out <YOUR-ADDON-ID> by running: heroku addons -a <YOUR EVENT SERVER HEROKU APP NAME>

  4. Configure the Heroku app:

     heroku config:set ACCESS_KEY=<YOUR APP ACCESS KEY> APP_NAME=<APP NAME> EVENT_SERVER_IP=<YOUR EVENT SERVER HOSTNAME> EVENT_SERVER_PORT=80
    
  5. Train the app:

     heroku run train
    
  6. Restart the app to load the new training data:

     heroku restart