Add image waste analysis to the pipeline

.dive-ci

@@ -0,0 +1,13 @@
+rules:
+  # If the efficiency is measured below X%, mark as failed.
+  # Expressed as a ratio between 0-1.
+  lowestEfficiency: 0.95
+
+  # If the amount of wasted space is at least X or larger than X, mark as failed.
+  # Expressed in B, KB, MB, and GB.
+  highestWastedBytes: 20MB
+
+  # If the amount of wasted space makes up for X% or more of the image, mark as failed.
+  # Note: the base image layer is NOT included in the total image size.
+  # Expressed as a ratio between 0-1; fails if the threshold is met or crossed.
+  highestUserWastedPercent: 0.20

.dockerignore

@@ -10,13 +10,19 @@
 .env
 .isort.cfg
 .flake8
+.editorconfig
+.gitattributes
+.gitignore
+.dive-ci
 
 # Files
 LICENSE
-README.md
+artifacthub-repo.yml
 docker-compose.*.yaml
+*.md
 
 # Folders
 test-containers
 tests
 mlflowstack
+docs

.github/workflows/docker-publish.yml

@@ -285,6 +285,15 @@ jobs:
       #   if: ${{ steps.docker-image-scan.outcome == 'failure' }}
       #   run: exit 1
 
+      - name: Install Dive
+        run: |
+          DIVE_VERSION=$(curl -sL "https://api.github.com/repos/wagoodman/dive/releases/latest" | grep '"tag_name":' | sed -E 's/.*"v([^"]+)".*/\1/')
+          curl -OL https://github.com/wagoodman/dive/releases/download/v${DIVE_VERSION}/dive_${DIVE_VERSION}_linux_amd64.deb
+          sudo apt install ./dive_${DIVE_VERSION}_linux_amd64.deb
+
+      - name: Analyse Efficiency and Wastes on Image
+        run: dive docker.io/${{ env.IMAGE_NAME }}:latest
+
       # Build again and push Docker image with Buildx (don't push on PR)
       # https://github.com/docker/build-push-action
       - name: Build and push Docker image

Dockerfile

@@ -31,8 +31,6 @@ RUN apt-get update && \
       liblzma-dev && \
     apt-get clean && rm -rf /var/lib/apt/lists/*
 
-RUN ln -s /usr/bin/llvm-config-9 /usr/bin/llvm-config
-
 RUN python -m pip install --upgrade pip
 
 RUN pip install poetry wheel &&  \
@@ -42,7 +40,7 @@ FROM python:3.12.8-slim
 
 WORKDIR /mlflow/
 
-COPY --from=foundation /mlflow /mlflow
+COPY --from=foundation /mlflow/.venv /mlflow/.venv
 
 ENV PATH=/mlflow/.venv/bin:$PATH