Dockerfile

FROM ghcr.io/astral-sh/uv:0.9.4 AS uv

# First, bundle the dependencies into the task root.
FROM public.ecr.aws/lambda/python:3.11.2024.11.22.15 AS builder

# Enable bytecode compilation, to improve cold-start performance.
ENV UV_COMPILE_BYTECODE=1

# Disable installer metadata, to create a deterministic layer.
ENV UV_NO_INSTALLER_METADATA=1

# Enable copy mode to support bind mount caching.
ENV UV_LINK_MODE=copy

# Bundle the dependencies into the Lambda task root via `uv pip install --target`.
#
# Omit any local packages (`--no-emit-workspace`) and development dependencies (`--no-dev`).
# This ensures that the Docker layer cache is only invalidated when the `pyproject.toml` or `uv.lock`
# files change, but remains robust to changes in the application code.
RUN --mount=from=uv,source=/uv,target=/bin/uv \
    --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
    uv export --frozen --no-emit-workspace --no-dev --no-editable -o requirements.txt && \
    uv pip install -r requirements.txt --target "${LAMBDA_TASK_ROOT}"

FROM public.ecr.aws/lambda/python:3.11.2024.11.22.15

# Copy the runtime dependencies from the builder stage.
COPY --from=builder ${LAMBDA_TASK_ROOT} ${LAMBDA_TASK_ROOT}

# Install Java 17
RUN yum clean all && \
    yum -y update && \
    yum -y install java-17-amazon-corretto-devel && \
    yum clean all

# Container metadata
LABEL maintainer=j3@thej3.com \
      description="Apache Flink Kickstarter Project, showcasing Confluent Clound for Apache Flink"

# Set JAVA_HOME
ENV JAVA_HOME=/usr/lib/jvm/java-17-amazon-corretto
ENV PATH=$JAVA_HOME/bin:$PATH

# Copy the application code
COPY handler.py ${LAMBDA_TASK_ROOT}

# Set the handler
CMD ["handler.lambda_handler"]