Intertextual Canon Cloud 2 Documentation
Intertextual Canon Cloud is a platform for displaying and annotating texts in a collaborative way. A wiki for annotations, if you will. It is a spiritual successor to the long defunct Textus Project. Note: this project has nothing to do with that project except similar aims and that I will be hewing to their design decisions in this new iteration.
The primary deployment of this software, in fact the only deployment of this software, can be viewed at anno.wiki.
Intertextual Canon Cloud 2 is a ground up rewrite of the initial software that can be found here.
Screw it. We're doing a ground up rewrite.
anno.wiki has never caught on. I have learned a lot since I initially designed it, but more importantly, I have learned a lot of hard design lessons. The initial version of icc, which took about a year to write, was a failure.
I am therefore undergoing a complete redesign of the software from the ground up, and will be hewing more closely to the separation of concerns strategy used by Textus.
Ethan will be collaborating with me, hopefully, when he has time. I will also continue the job search. I am hoping that with my much-improved understanding of Flask, general web design, and the actual requirements of the project from already having built the thing once, the development will go more quickly.
Ethan will be "in charge" of the front end, though I expect I will be writing the majority of the code (he has a full time job). I will defer to him on design decisions. I will be in charge of everything else.
This project will use React on the front end and Flask on the back end. We will be separating all formatting and semantic information from the raw text of the text-to-be-annotated. It will be immutable.
The database is still to be determined. I am still learning toward elasticsearch, since that is what Textus used and I am somewhat familiar with it. I have gotten some recommendations for databases specifically designed for our use case on Reddit and am interested in exploring them.
We will have to use another database for User information. I am leaning toward Postgres.
Stay tuned for future updates, my nonexistent readers.