content: FROM ghcr.io/astral-sh/uv:0.6.3 AS uv
  
  # First, bundle the dependencies into the task root.
  FROM public.ecr.aws/lambda/python:3.13 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:3.13
  
  # Copy the runtime dependencies from the builder stage.
  COPY --from=builder ${LAMBDA_TASK_ROOT} ${LAMBDA_TASK_ROOT}
  
  # Copy the application code.
  COPY ./app ${LAMBDA_TASK_ROOT}/app
  
  # Set the AWS Lambda handler.
  CMD ["app.main.handler"]