Top one is base64 SVG. Bottom is base64 PNG.
And raw:
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"
Just some notes and numbers.
The good news is that, as is, I don’t think you would ever get a drawing on the canvas that’s too large for a default text post. That is partially because the current canvas size is pretty small (150x300) but that might be the right default size for a doodle pad anyway.
At that size I did three drawings that came out as 5k 7k and 19k for the worst case scenario (where i tried to fill it up with as many lines as possible) The good news is that this means the files are clearly being automatically compressed when saved as png data by default (if they weren’t being automatically compressed they’d be a lot larger). If we want to go further and only use a black and white palette and create a function to compress it with an 8 bit 16 color adaptive palette, that 19k image was reduced further to 6k. That would probably be pretty easy to either find or code.
So as is, I think it works without doing file upload.
I do think that doing file upload might still be worth doing at some point though for larger canvases or so that if folk are going to do a lot of doodles that they can be configured to go into s3 instead of into the database, but in short I don’t think that should stop you from polishing it up and calling it a v1.
here are the doodles, (not going to win any prizes)
Mousebox (5k)
Monkeysun (7k)
MessNo1 (19k)
So then there is the svg idea.
The main benefits would just be better line quality and the ability to do a larger canvas size. (you’ll notice that the star images are a lot larger than 300x150 which is why the star.svg is so much smaller than the star.png (3kb instead of 19kb).
Don’t feel compelled to have to do this though. What you’ve got is great. I’ll start looking at the svg idea today and send you a pull request if I can get anything working. It looks like the code can be very similar.
The basic idea is that instead of drawing to the canvas context you send the points to the controller that has a data structure (which could be as simple as an array of points for a simple line drawing) The controller stores the points into what is basically the same thing as the canvas context and creates a path that has the same x and y coordinates that you are sending to the context.lineTo function.
I’ll let you know how it goes.
Appreciated. I’ve messed around on a broken branch and haven’t yet been able to figure out file uploads, but if there’s enough space for raw PNGs, I’d be satisfied with leaving it inline. The use case I had in mind for this plugin would be for drawing silly quick doodles, rather than a fully fleshed out photoshop-like image editor. I’d still like to add color, and size options in the future though.
A few canvas bugs need to be fixed that I’d like to look at before, too. Sometimes it doesn’t want to draw on a fresh canvas. Noticed that sometimes it gets stuck in my tests the other day.
I’m very interested in such a plugin.
In our goat farmers community, it is often quicker to draw something in-place rather than writing many words. Showing a sketch of a building plan, explaining something about a goat’s structure, showing an idea of some tool - all these are good examples of how this plugin would be useful in our community.
If this plugin is not going to be developed, bumping this topic to the top in case someone else wanna take it over.
@awole20 It not work.
I haven’t been keeping this up to date with the latest for quite some time, sorry about that. This was more a proof of concept I did for curiosity’s sake.
To date, there hasn’t been much in the way of developer interest in this, and I haven’t had time to maintain or develop this properly myself.
Doh, what a shame. It was super cool
Looks excellent. I wish this wasn’t broken.
The idea is very brilliant! … I hope it’s fixed soon!
When posting from a mobile phone, I guess one can draw on a plot in any drawing app and save it to their camera roll with one or two taps, then insert it in Discourse message editor. Yeah, it’s 3x more clicks than doing it directly in the message editor.
I like the idea too, but in 3 years time of using 3 Discourse-based forums, I can’t really remember when I needed such a feature. That’s just my own experience though. I think there might be communities where it’s much more practical, e.g. architects.
Our community want this feature!
Some people like drawing rather than writing as their expression.
You can hire a developer to fork and fix this plugin. Feel free to start a topic in our marketplace if you are interested.