I have a module called custom_module.py
which has functions and methods that I would like to use across a few different Lambdas. The code looks like this:
def test():
return 'Custom module'
I tried to convert this into a Lambda Layer by zipping up this file and using the form to create a layer. Everything seemed to work nicely, and I imported the module into my Lambda for use, like so:
import json
from custom_module import test
print('Loading function')
def lambda_handler(event, context):
return test()
Unfortunately, running this returns a "Unable to import module 'lambda_function': No module named 'custom_module'"
error. What exactly am I doing wrong here? I have the correct runtimes and architecture specified as well.
Edit
Going by the comment, I tried this file structure:
layer
|
+--- python
|
+--- custom_module
|
+--- __init__.py (contains the test() method)
I zipped up the layer
folder as layer.zip
and uploaded it. Still get the same issue unfortunately.
As per the docs, for Python runtimes, the Lambda layer should only have 1 subfolder called python
so that the Lambda can access the layer content without the need to specify the path (or it needs to be a site package within python/lib/python3.9/site-packages
).
You have 2 subfolders - layer
and then python
.
Change your file structure to have your custom_module
inside the python
folder only.
layer.zip
|
+--- python
|
+--- custom_module
|
+--- __init__.py (contains the test() method)