Dockerfile

# Define custom function directory
ARG FUNCTION_DIR="/function"
ARG PY_VER="3.9"

FROM --platform=linux/amd64 python:${PY_VER}  as build-image

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

# Copy function code
RUN mkdir -p ${FUNCTION_DIR}
COPY requirements.txt .

# Install the function's dependencies
RUN pip install --target ${FUNCTION_DIR} awslambdaric
RUN pip install --target ${FUNCTION_DIR} -r requirements.txt

# Use a slim version of the base Python image to reduce the final image size
FROM --platform=linux/amd64 python:${PY_VER}-slim

# 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 built dependencies
COPY --from=build-image ${FUNCTION_DIR} ${FUNCTION_DIR}
COPY . ${FUNCTION_DIR}

# Set runtime interface client as default command for the container runtime
ENTRYPOINT [ "/usr/local/bin/python", "-m", "awslambdaric" ]
# Pass the name of the function handler as an argument to the runtime
CMD [ "main.handler" ]