“project loving-dry suspended: You exceeded the disk space limit on node_modules. If you feel this has been an error, contact us at customer-service@fogcreek.com”
How I am supposed to reduce?
Hi @Ashutosh-3601 I’ve temporarily raised the disk quota on loving-dry and unsuspended the project. Looking at the disk space consumed there it actually looks like you’re in pretty good shape and you’re already using pnpm, so I’m not quite sure how you got suspended, but let us know if you run into further problems.
Happy Glitching!
thanks! will let you know!
Other team members also noted that it’s possible your project got caught in a side-effect of another change we recently rolled out. If that’s the case here you might want to run enable-pnpm in your project’s console to clean that up before the 24 hour quota limit increase expires.
You can reach the console by revealing the Status pane by clicking on the Status button under your project’s name and then clicking the Console button there.
@cori Again same thing happened even after doing enable pnpm
Hello, I’ve re-unsuspended your project; we’ll take a look to see what’s causing your persistent problems. Sorry for the inconvenience!
@cori Again after long time. Again this problem occured. Moreover project is private this time.
Edit: Made public
After Surfing a bit here, I found many projects are suspended for using puppeter… As far as I know I am not using puppeter anywhere.
Hey @Ashutosh-3601, it looks like you added @tensorflow/tfjs-node-gpu earlier in the day yesterday, and that module takes up a third of the allotted node_modules space, so I suspect that’s what pushed you over the edge. Many TensorFlow packages are big ones and piling one on top of another will cause you to run out of space like this.
I’ve removed that dependency from your package.json file so that your project can continue running. I plan to talk to the rest of the team about this, but for the time being (and the foreseeable future) the combination of packages you were trying to use won’t work on Glitch. To be honest I’m not sure that you’d see any benefit from running TensorFlow on the GPU of a docker container; I doubt very much that our containers have the appropriate graphics drivers installed or that the hosts have any GPU to speak of.
Happy Glitching!
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Alright! I understood… Thanks for info & help
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Hey @cori, Looks like I again installed something big. Can you remove that?
Hey @Ashutosh-3601, I’ve placed a glitch.json file in your project which means that Glitch isn’t trying to install your node modules. You can make whatever changes you need to to your package.json or just Rewind - everything will work just the same except that your project won’t start (and won’t install modules) until you delete the glitch.json file and run refresh in your project’s console.
Let us know if you run into any problems.
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Thanks @cori. But How can I know which package caused that?