[Python] "module 'os' has no attribute 'add_dll_directory'" in aws lambda function

I'm facing an issue that os does not have an add_dll_directory attribute in the AWS lambda function on the trigger.

I have written code for creating a thumbnail of a video and I have tried it locally that's working fine but when I upload this function with the required libraries then I get this issue and still, I'm unable to resolve it. I did not get any help from the internet yet regarding this issue.

that is an issue that I'm facing

[ERROR] AttributeError: module 'os' has no attribute 'add_dll_directory'
Traceback (most recent call last):
File "/var/lang/lib/python3.12/importlib/__init__.py", line 90, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1381, in _gcd_import
File "<frozen importlib._bootstrap>", line 1354, in _find_and_load
File "<frozen importlib._bootstrap>", line 1325, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 929, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 994, in exec_module
File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
File "/var/task/lambda_function.py", line 2, in <module>
import cv2
File "/var/task/cv2/__init__.py", line 11, in <module>
import numpy
File "/var/task/numpy/__init__.py", line 112, in <module>
_delvewheel_patch_1_5_2()
File "/var/task/numpy/__init__.py", line 109, in _delvewheel_patch_1_5_2
os.add_dll_directory(libs_dir)


This is the code that I'm using for creating a thumbnail

import json
import cv2
import tempfile
from PIL import Image
from io import BytesIO
import boto3

s3 = boto3.client('s3')

def get_video_file(bucket, key):
video_file = s3.get_object(Bucket=bucket, Key=key)['Body'].read()
return video_file


def upload_image_file(image_byte_data, bucket, key):
s3.put_object(Bucket=bucket, Key=key, Body=image_byte_data, ContentType="image/png")

def generate_thumbnail(video_byte_data):

with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as temp_file:
temp_file_path = temp_file.name
temp_file.write(video_byte_data)


video_capture = cv2.VideoCapture(temp_file_path, cv2.CAP_ANY)

success, frame = video_capture.read()

if success:
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

thumbnail_image = Image.fromarray(frame_rgb)

thumbnail_size = (320,320)
thumbnail_image.resize(thumbnail_size)

thumbnail_data = BytesIO()

thumbnail_image.save(thumbnail_data, format='PNG')

thumbnail_bytes = thumbnail_data.getvalue()

return thumbnail_bytes
else:
raise ValueError('Unable to read video frame')


def lambda_handler(event, context):
bucket = event['Records'][0]['s3']['bucket']['name']
key = event['Records'][0]['s3']['object']['key']


video_file = get_video_file(bucket, key)
image_output_file = generate_thumbnail(video_file)
upload_image_file(image_output_file, "thumbnail876", key.split(".")[0]+".png")

return {
"statusCode": 200,
"body": json.dumps(
{
"message": "hello world",
}
),
}


Please can someone tell me why I'm facing this issue? and how can I resolve this? Thanks

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