This is a field service dispatching planner, focusing on Reinforcement Learning and Optimization based automatic Dispatching.
We are working on demo.
EasyDispatch relies on Postgres DB, Redis and Kafka. Those three components can be started by [docker-compose] (https://docs.docker.com/compose/install/) or provisioned seperately. You also should have npm and node for frontend development.
- To run easydispatch locally, first install it by:
git clone https://github.com/alibaba/easydispatch.git && cd easydispatch
pip install -e .- Then copy and modify env file from $easydisaptch/etc/dev_env_sample to $easydisaptch/dev.env . Start the database, redis and kafka by docker composer.
docker-compose -f kafka-redis-postgres-compose.yml -p dispatch up- Open another terminal, populate some sample data and run the frontend:
python -m dispatch.cli database init
python -m dispatch.cli server start --port 8000 dispatch.main:app - Visit the page at : http://localhost:8000/login
We tested it on Ubuntu 20.04 and MacOS, Python 3.7 / 3.8
The frontend and server technology stack (vue + python) were adapted from Netflix Dispatch. Data structures are not compatible.