A service that stores results from a classification service in a database and make them available through a REST API. It is meant to run on the edge, that is, a computing device that is deployed in a factory.
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Install Docker
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Build docker image with
docker-compose build -
Install postgresql on docker:
docker network create --driver bridge postgres-network
docker-compose pytest
- Start web server
docker-compose run -e FLASK_APP=controllers.py -e FLASK_ENV=development -p 5000:5000 api - Start message queue consumer
docker-compose run consumer
Publishing a new message in the queue:
mosquitto_pub -t new_prediction -m '{"algorithm": {"name": "DeevioNet","version": "1.0"},"status":"complete","imagePath":"20180907/1536311270718.jpg","imageId":"1536311270718","output":[{"bbox":[1008.8831787109375,280.6226501464844,1110.0245361328125,380.72021484375],"probability":0.9725130796432495,"label":"nail","result":"good"} ]}'
Get weak predictions
http://localhost:5000/v1/predictions/weak
Get last prediction for an imageId
http://localhost:5000/v1/predictions/1536311270718
More on localhost:5000/
Currently not implemented