Build Docker image in CI

.github/workflows/docker.yml

@@ -0,0 +1,36 @@
+name: ci
+
+on:
+  push:
+    branches:
+      - 'master'
+    tags:
+      - 'v*.*.*'
+
+jobs:
+  docker:
+    runs-on: ubuntu-latest
+    steps:
+      -
+        name: Set up QEMU
+        uses: docker/setup-qemu-action@v2
+      -
+        name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+      -
+        name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+      -
+        name: Determine Docker tag
+        id: determine_tag
+        if: github.event_name == 'push' && contains(github.ref, 'refs/tags/v')
+        run: echo "tag=$(echo ${{ github.ref }} | sed -e 's|refs/tags/v||')" >> $GITHUB_OUTPUT
+      -
+        name: Build and push
+        uses: docker/build-push-action@v4
+        with:
+          push: true
+          tags: crocsmuni/dissect:${{ steps.determine_tag.outputs.tag || 'latest' }}

README.md

@@ -23,24 +23,18 @@ We recommend to use DiSSECT in Docker, as it avoids potential issues on the boun
 
 ## Docker container
 
-Clone this repository and build docker image.
+To run the analysis notebook in a container, use the following command and access the provided link in your web browser.
 
 ```shell
-git clone --recurse-submodules https://github.com/crocs-muni/DiSSECT
-cd DiSSECT
-docker build -t dissect .
+docker run -it -p 8888:8888 crocsmuni/dissect
 ```
 
-When the image is successfully built, you can start using DiSSECT.
-
-To run Jupyter Notebook, use the following command and access the provided link in your web browser.
+To use advanced components of DiSSECT, access the container directly:
 
 ```shell
-docker run -it -p 8888:8888 dissect
+docker run -it crocsmuni/dissect bash
 ```
 
-To use advanced components of DiSSECT, access the container directly.
-
 ## Local setup
 
 ### Full (requires `sage`)