vevark / acc-mini-project

Airfoil Project

In this project, we use Celery as workers, RabbitMQ as the broker, Flask as the application and MariaDB as the database. How the overall service workflow works can be seen in figure below.

1. enter blackbox folder, run following commands

   sudo bash
   chmod +x requirements.sh
   ./requirements.sh

   get the CONTAINER_ID of FEniCS, and docker exec -it CONTAINER_ID /bin/bash to enter it. Then run

   chmod +x steps.sh
   ./steps.sh

   inside the container, to have mesh files and the solver well-prepared. Then exit the container and copy them to /docker/celery/ folder for further using. Arguments related to generating mesh files can be modified in steps.sh

2. Build app and worker images by docker-compose build

   Start all services with N workers by docker-compose up --scale worker=N

3. Enter one worker by docker exec -it docker_worker_1 /bin/bash

   Call Celery task by python3 run.py mesh_xml/NAME_OF_A_MESH_XML_FILE where NAME_OF_A_MESH_XML_FILE is any mesh file existing in mesh_xml

   Arguments related to the solver can be modified in /docker/celery/tasks.py

   Celery will distribute tasks to workers. Messages about overall calculation process can be shown through RabbitMQ.