Hi there,
I’m trying to deploy a cloud function with Python using the python-opencv library, however I am getting a 413: Payload Too Large error. I read the documentation and it seems like DigitalOcean only supports a build of 48MB.
Is there anyway to increase this size limit? I know other services like AWS Lambda support up to 200mb.
If not, does anyone have a similar experience of trying to deploy a python function with large requirements? I tried building from the source rather than through pip but it just fails.
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Hi there,
Indeed the maximum size of the built function is 48 MB. Basically, everything under <package-name>/<function-name>/ is gathered into a single zip file. The final file needs to be within the 48 MB size limit.
You could try using a .ignore file to ignore any artifacts that you don’t need in order to reduce the overall file size:
Every
<package-name>/<function-name>/folder may contain a.ignorefile. This file uses the same format as.gitignore. It specifies artifacts that should not be a part of the deployed function.
https://docs.digitalocean.com/products/functions/reference/build-process/
Is your project open-source? If so feel free to share a link here and I could have a look and see if there is a way to reduce the size.
Best,
Bobby
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