Update readme

.github/workflows/ci.yml

@@ -53,24 +53,12 @@ jobs:
         shell: bash -l {0}
         run: |
           conda install -c conda-forge pygrib netcdf4 pyresample pykdtree
-          
-          # On macos pykdtree was built with OpenMP (C-level parallelization library) support
-          if [ ${{ matrix.os }} == "macos-latest" ] 
-          then
-            conda install -c conda-forge pykdtree
-          fi
-          # And on windows pygrib wheels are not available
-          if [ ${{ matrix.os }} == "windows-latest" ] 
-          then
-            conda install -c conda-forge pygrib
-          fi
-          
           pip install -e .[testing]
       - name: Run all tests
         env:
           CDS_APIKEY: ${{ secrets.CDS_APIKEY }}
         shell: bash -l {0}
-        run: |      
+        run: |
           pytest
       - name: Export Environment
         shell: bash -l {0}
@@ -153,8 +141,8 @@ jobs:
   publish-docker-image:
     name: Publish Docker 📦
     # Will only trigger when Tests have passed on release/tag from the TUW-GEO repository
-    if: | 
-      startsWith(github.ref, 'refs/tags/v') && 
+    if: |
+      startsWith(github.ref, 'refs/tags/v') &&
       startsWith(github.repository, 'TUW-GEO')
     needs: build
     runs-on: ubuntu-latest
@@ -190,4 +178,4 @@ jobs:
         with:
           subject-name: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME}}
           subject-digest: ${{ steps.push.outputs.digest }}
-          push-to-registry: true
+          push-to-registry: true

README.rst

@@ -112,23 +112,24 @@ pre-installed dependencies and can simply be pulled via
 
     $ docker pull ghcr.io/tuw-geo/ecmwf_models:latest
 
-Alternatively, to build the image locally using the Dockerfile, call
+Alternatively, to build the image locally using the provided Dockerfile, call
+from the package root
 
 .. code-block:: shell
 
-    $ docker build ecmwf_models:latest . 2>&1 | tee docker_build.log
+    $ docker buildx build -t ecmwf_models:latest . 2>&1 | tee docker_build.log
 
 Afterwards, you can execute the ``era5`` and ``era5land`` commands directly in
 the container (after mounting some volumes to write data to).
-The easiest way to set the API credentials in this case is via the environment
-variable or the ``--cds_token`` option.
+The easiest way to set the API credentials in this case is via the
+``CDSAPI_KEY`` container variable or the ``--cds_token`` option as below.
 
 .. code-block:: shell
 
     $ docker run -v /data/era5/img:/container/path ecmwf_models:latest bash -c \
        'era5land update_img /container/path --cds_token xxxx-xxx-xxx-xx-xxxx'
 
-You can use this together with a task scheduler to regularly pull new data
+You can use this together with a task scheduler to regularly pull new data.
 
 Citation
 ========