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@@ -418,3 +418,18 @@ For non-production, the API back-end can be started by running `flask --app api: run`. For production use, make sure to use gunicorn instead. The command I used is: `gunicorn --workers 3 --bind unix:/srv/csca5028/flask.sock --umask 007 --access-logfile - --error-logfile - api:app`. + +## What about Message Queues + +While I did make preparations to use it (set up the docker container), I never did +end up implementing it in the code. This is because there was little need for the +processes to communicate with each other, and there was little time left to come +up with one. One possible usage would be adding the functionality to order the fetch +of a subscription "right now" using the front-end, which would require the flask +application to communicate with the data_collector, but unfortunately I did not have +time to develop that functionality. + +One other possible usage is using it to scale the data collector and data analyser. +Each would have a master process which coordinates the fetching, and child processes +would receive fetch orders through message queues. Though this would be an overkill +for the current scale of the project, but as it expands it might become necessary. |