Multiplatform

.github/workflows/ci.yml

@@ -255,43 +255,46 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Log into container registry
-        uses: docker/login-action@v2
+        uses: docker/login-action@v3
         with:
           registry: ${{ env.REGISTRY }}
           username: ${{ github.actor }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
 
       - name: Docker meta
-        uses: docker/metadata-action@v4
+        uses: docker/metadata-action@v5
         id: meta
         with:
-          images: |
-            ${{ env.REGISTRY_BASE_URI }}/worker
-            ${{ env.REGISTRY_BASE_URI }}/web
-            ${{ env.REGISTRY_BASE_URI }}/grafana
           tags: |
             type=ref,event=branch
             type=sha
             type=semver,pattern={{version}},enable=${{ github.event_name == 'release' }}
             type=semver,pattern={{major}},enable=${{ github.event_name == 'release' }}
+            type=semver,pattern={{major}}.{{minor}},enable=${{ github.event_name == 'release' }}
+            type=edge
 
-      - name: Build
-        uses: docker/bake-action@v4
-        with:
-          files: |
-            docker-compose.yml
-            docker-compose.historian.yml
-          set: |
-            web.cache-from=type=gha,scope=web:${{ github.ref_name }}
-            worker.cache-from=type=gha,scope=worker:${{ github.ref_name }}
-            grafana.cache-from=type=gha,scope=grafana:${{ github.ref_name }}
-            web.cache-to=type=gha,mode=max,scope=web:${{ github.ref_name }}
-            worker.cache-to=type=gha,mode=max,scope=worker:${{ github.ref_name }}
-            grafana.cache-to=type=gha,mode=max,scope=grafana:${{ github.ref_name }}
-          load: true
+      - name: Expose GitHub Runtime
+        uses: crazy-max/ghaction-github-runtime@v3
 
-      - name: Tag and push images
-        run: ./.github/workflows/tag_push_docker.sh
+      - name: Build Push
+        run: |
+          /usr/bin/docker buildx bake \
+          --file docker-compose.yml \
+          --file docker-compose.historian.yml \
+          --set *.platform=linux/arm64,linux/amd64 \
+          --set web.cache-from=type=gha,scope=web:${{ github.ref_name }} \
+          --set worker.cache-from=type=gha,scope=worker:${{ github.ref_name }} \
+          --set grafana.cache-from=type=gha,scope=grafana:${{ github.ref_name }} \
+          --set web.cache-to=type=gha,mode=max,scope=web:${{ github.ref_name }} \
+          --set worker.cache-to=type=gha,mode=max,scope=worker:${{ github.ref_name }} \
+          --set grafana.cache-to=type=gha,mode=max,scope=grafana:${{ github.ref_name }} \
+          --set worker.tags=${{ env.REGISTRY_BASE_URI }}/worker:${{ join(fromJson(steps.meta.outputs.json)['tags'],format(' --set worker.tags={0}/worker:', env.REGISTRY_BASE_URI)) }} \
+          --set web.tags=${{ env.REGISTRY_BASE_URI }}/web:${{ join(fromJson(steps.meta.outputs.json)['tags'],format(' --set web.tags={0}/web:', env.REGISTRY_BASE_URI)) }} \
+          --set grafana.tags=${{ env.REGISTRY_BASE_URI }}/grafana:${{ join(fromJson(steps.meta.outputs.json)['tags'],format(' --set grafana.tags={0}/grafana:', env.REGISTRY_BASE_URI)) }} \
+          --push

alfalfa_worker/Dockerfile

@@ -1,17 +1,13 @@
-FROM ghcr.io/nrel/alfalfa-dependencies:3.0.0 AS base
+FROM ghcr.io/nrel/alfalfa-dependencies:3.1.0 AS base
 
-USER root
-
-ENV HOME /alfalfa
+ENV HOME=/alfalfa
 
 WORKDIR $HOME
-# Need to set the lang to use Python 3.8 with Poetry
-ENV LANG C.UTF-8
-ENV DEBIAN_FRONTEND noninteractive
 
 # Install poetry
-RUN pip3 install poetry==1.8.3
-RUN poetry config virtualenvs.options.system-site-packages true
+RUN pip3 install poetry==1.8.3 \
+  && poetry config virtualenvs.options.system-site-packages true \
+  && poetry config virtualenvs.create false
 
 # Copy and install poetry-based dependencies
 COPY pyproject.toml /alfalfa
@@ -21,23 +17,18 @@ COPY poetry.lock /alfalfa
 RUN poetry install --only main
 
 # Include the path to where alfalfa_worker is so that system calls can find it.
-ENV  PYTHONPATH="/alfalfa:${PYTHONPATH}"
+ENV PYTHONPATH="${HOME}:${PYTHONPATH}"
+
+COPY ./alfalfa_worker ${HOME}/alfalfa_worker
 
-COPY ./alfalfa_worker /alfalfa/alfalfa_worker
+RUN pip3.8 install virtualenv \
+  && pip3.8 install \
+  scipy \
+  symfit
 
 COPY ./deploy /alfalfa/deploy
 COPY ./deploy/wait-for-it.sh /usr/local/wait-for-it.sh
 
-# update the path to python, which is in the Poetry virtual environment.
-# The path (mfknN3Ol) is generated by Poetry and should be updated if the
-# install path changes.
-#
-# The dependency warning still exists, but it is a warning. Eventually this
-# will be resolved when we move to a newer version of Ubuntu.
-# See https://bugs.launchpad.net/ubuntu/+source/python-debian/+bug/1926870
-# Error: RequestsDependencyWarning: urllib3 (1.26.13) or chardet (3.0.4) doesn't match a supported version!
-#        warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported
-ENV PATH=$HOME/.cache/pypoetry/virtualenvs/alfalfa-mfknN3Ol-py3.8/bin:$PATH
 WORKDIR $HOME/alfalfa_worker
 
 

alfalfa_worker/jobs/openstudio/create_run.py

@@ -33,7 +33,7 @@ def exec(self):
         # If there are requirements.txt files in the model create a python virtual environment and install packaged there
         requirements = self.run.glob("**/requirements.txt")
         if len(requirements) > 0:
-            check_output(["python", "-m", "venv", "--system-site-packages", "--symlinks", str(self.dir / '.venv')])
+            check_output(["python3.8", "-m", "venv", "--system-site-packages", "--symlinks", str(self.dir / '.venv')])
             for requirements_file in requirements:
                 check_output([str(self.dir / '.venv' / 'bin' / 'pip'), "install", "-r", str(requirements_file)])
 

alfalfa_worker/lib/testcase.py

@@ -28,7 +28,7 @@
 
 import numpy as np
 from pyfmi import load_fmu
-from scipy.integrate import trapz
+from scipy.integrate import trapezoid
 
 from alfalfa_worker.lib.data.data_manager import Data_Manager
 
@@ -289,7 +289,7 @@ def get_kpis(self) -> dict:
                     data = np.array(self.y_store[signal])
                     dT_heating = heat_setpoint - data
                     dT_heating[dT_heating < 0] = 0
-                    tot_dis = tot_dis + trapz(dT_heating, self.y_store['time']) / 3600
+                    tot_dis = tot_dis + trapezoid(dT_heating, self.y_store['time']) / 3600
                 # Store result in dictionary
                 kpis['comfort'] = tot_dis
             else: