Lambda function working locally but crashing on AWS

I deploy my Lambda function code as a container image. I create a simple Python image from an alternative base image which is the Fenics Project stable image. When the dolfin module is imported the following error message is displayed before crashing :

terminate called after throwing an instance of 'std::logic_error'
what(): basic_string::_M_construct null not valid
Runtime exited with error: signal: aborted (core dumped)
Runtime.ExitError

When I test my function locally with the runtime interface emulator and the same image, I don’t have any error messages. After some research, I have found out that the problem came from the python extension (.so) named « cpp » present into dolphin package but I don’t understand why it works locally and not on AWS.

Here are my files :

Dockerfile

ARG FUNCTION_DIR="/function"

FROM quay.io/fenicsproject/stable:current as build-image

# Include global arg in this stage of the build
ARG FUNCTION_DIR

# Install aws-lambda-cpp build dependencies
RUN sudo apt-get update -y && \
  sudo DEBIAN_FRONTEND=noninteractive apt-get install -y \
  g++ \
  make \
  cmake \
  unzip \
  libcurl4-openssl-dev

# Create function directory
RUN sudo mkdir -p ${FUNCTION_DIR}

# Copy function code
COPY /aws_documents/app ${FUNCTION_DIR}

RUN sudo pip install --upgrade pip && \
    sudo pip install \
        --target ${FUNCTION_DIR} \
        awslambdaric

# Multi-stage build: grab a fresh copy of the base image (to keep the image light)

FROM quay.io/fenicsproject/stable:current

# Include global arg in this stage of the build
ARG FUNCTION_DIR

# Set working directory to function root directory
WORKDIR ${FUNCTION_DIR}

# Copy in the build image dependencies
RUN sudo pip install --upgrade pip
COPY --from=build-image ${FUNCTION_DIR} ${FUNCTION_DIR}

# Define property ENTRYPOINT to call runtime client interface
ENTRYPOINT [ "/usr/bin/python3.6", "-m", "awslambdaric" ]
CMD [ "app.handler" ]

app.py

import os
def handler(event,context):
        os.environ['XDG_CACHE_HOME'] = '/tmp/.cache'
        print("before import")
        import dolfin
        return("okay")