ci: use own DPF standalone Docker image reference in workflows

.ci/collect_mapdl_logs_remote.sh

@@ -27,6 +27,7 @@ echo "Collecting local build logs..."
 
 echo "Collecting docker run log..."
 mv log.txt ./"$LOG_NAMES"/log.txt || echo "MAPDL run docker log not found."
+mv log_dpf.txt ./"$LOG_NAMES"/log_dpf.txt || echo "DPF run docker log not found."
 
 echo "Moving docker launch log..."
 mv mapdl_launch_0.log ./"$LOG_NAMES"/mapdl_launch_0.log || echo "MAPDL launch docker log not found."

.github/workflows/doc-build.yml

@@ -72,6 +72,7 @@ jobs:
       PYANSYS_OFF_SCREEN: True
       BUILD_CHEATSHEET: '${{ inputs.build_cheatsheet }}'
       MAPDL_IMAGE_VERSION_DOCS_BUILD: v24.2-ubuntu-student
+      DPF_DOCKER_IMAGE: ghcr.io/ansys/mapdl:v25.2-rocky-dpf-standalone
       MAPDL_PACKAGE: ghcr.io/ansys/mapdl
       PYMAPDL_START_INSTANCE: FALSE
       PYMAPDL_PORT: 21000  # default won't work on GitHub runners
@@ -110,7 +111,7 @@ jobs:
       - name: "DPF server activation"
         shell: bash
         run: |
-          $(docker pull ghcr.io/ansys/dpf-core:22.2dev && docker run -d --name dpfserver -p ${{ env.DPF_PORT }}:50052 ghcr.io/ansys/dpf-core:22.2dev && echo "DPF Server active on port ${{ env.DPF_PORT }}.") &
+          $(docker pull $DPF_DOCKER_IMAGE && docker run -d --name dpfserver --env ANSYS_DPF_ACCEPT_LA=Y -p ${{ env.DPF_PORT }}:50052 $DPF_DOCKER_IMAGE && echo "DPF Server active on port ${{ env.DPF_PORT }}.") &
 
       - name: "Getting files change filters"
         uses: dorny/paths-filter@v3

.github/workflows/test-remote.yml

@@ -61,8 +61,10 @@ jobs:
       PYMAPDL_PORT2: 21001  # for the pool testing and default won't work on GitHub runners
       PYMAPDL_DB_PORT: 21002  # default won't work on GitHub runners
       PYMAPDL_DB_PORT2: 21003  # default won't work on GitHub runners
+      DPF_DOCKER_IMAGE: ghcr.io/ansys/mapdl:v25.2-rocky-dpf-standalone
       DPF_PORT: 21004
       DPF_START_SERVER: False
+      HAS_DPF: True
       PYTEST_ARGUMENTS: '-vvv -rxXsa --color=yes --durations=30 --random-order --random-order-bucket=class --maxfail=10 --reruns 3 --reruns-delay 4 --cov=ansys.mapdl.core --cov-report=html --timeout=180 --profile-svg --profile --report-log-exclude-logs-on-passed-tests'
       MAPDL_PACKAGE: ghcr.io/ansys/mapdl
 
@@ -142,14 +144,16 @@ jobs:
           export INSTANCE_NAME=MAPDL_1
           .ci/start_mapdl.sh &> mapdl_launch_1.log & export DOCKER_PID_1=$!
           echo "Launching MAPDL service 0 at PID: $DOCKER_PID_0"
-          echo "Launching MAPDL service 1 at PID: $DOCKER_PID_2"
+          echo "Launching MAPDL service 1 at PID: $DOCKER_PID_1"
           echo "DOCKER_PID_0=$(echo $DOCKER_PID_0)" >> $GITHUB_OUTPUT
           echo "DOCKER_PID_1=$(echo $DOCKER_PID_1)" >> $GITHUB_OUTPUT
 
       - name: "DPF server activation"
         shell: bash
+        env:
+          ANSYS_DPF_ACCEPT_LA: Y
         run: |
-          $(docker pull ghcr.io/ansys/dpf-core:22.2dev && docker run -d --name dpfserver -p ${{ env.DPF_PORT }}:50052 ghcr.io/ansys/dpf-core:22.2dev && echo "DPF Server active on port ${{ env.DPF_PORT }}.") &
+          docker pull $DPF_DOCKER_IMAGE && docker run -d --name dpfserver --env ANSYS_DPF_ACCEPT_LA=Y -p ${{ env.DPF_PORT }}:50052 $DPF_DOCKER_IMAGE && echo "DPF Server active on port ${{ env.DPF_PORT }}." > log_dpf.txt &
 
       - name: "Getting files change filters"
         uses: dorny/paths-filter@v3

doc/changelog.d/3882.dependencies.md

@@ -0,0 +1 @@
+ci: use own DPF standalone Docker image reference in workflows

docker/docker-compose.yml

@@ -97,6 +97,7 @@ services:
       - '50052:50052'
       - '50055:50055'
     image: ${DOCKER_IMAGE}
+    platform: linux/amd64
     entrypoint: "/bin/bash ansys -grpc"
 
   dpf:
@@ -105,6 +106,7 @@ services:
       - mapdl-dpf
       - local-dpf
     image: ${DPF_DOCKER_IMAGE}
+    platform: linux/amd64
     ports:
       - '50056:50052'
     restart: always
@@ -128,6 +130,7 @@ services:
     ports:
       - '50052:50052'
       - '50055:50055'
+    platform: linux/amd64
     image: ${DOCKER_IMAGE}
     # Mount the current directory to /home/${DOCKER_USER:-mapdl}/pymapdl
     # This allows you to run the container and have access to the current directory

pyproject.toml

@@ -65,7 +65,7 @@ all = [
 ]
 
 tests = [
-    "ansys-dpf-core==0.13.6",
+    "ansys-dpf-core[graphics]==0.13.6",
     "ansys-tools-visualization-interface==0.9.1",
     "autopep8==2.3.2",
     "matplotlib==3.10.3",
@@ -86,7 +86,7 @@ tests = [
 ]
 
 doc = [
-    "ansys-dpf-core==0.13.6",
+    "ansys-dpf-core[graphics]==0.13.6",
     "ansys-mapdl-reader==0.55.0",
     "ansys-sphinx-theme==1.4.4",
     "ansys-tools-visualization-interface==0.9.1",

tests/test_dpf.py

@@ -32,7 +32,7 @@
     from ansys.dpf import core as dpf
     from ansys.dpf.core.server_types import DPF_DEFAULT_PORT
 
-    DPF_PORT = os.environ.get("DPF_PORT", DPF_DEFAULT_PORT)  # Set in ci.yaml
+    DPF_PORT = int(os.environ.get("DPF_PORT", DPF_DEFAULT_PORT))  # Set in ci.yaml
 
 
 @pytest.fixture()
@@ -46,7 +46,7 @@ def dpf_server():
     # Start the DPF server
     if ON_LOCAL:
         # If running locally, start the server
-        dpf_server = dpf.start_local_server(port=int(DPF_PORT))
+        dpf_server = dpf.start_local_server(port=DPF_PORT)
         assert not dpf_server.info["server_ip"]
 
     else:
@@ -64,7 +64,7 @@ def model(dpf_server, mapdl, solved_box, tmpdir):
 
     # Upload RST
     if not dpf_server.local_server:
-        rst_path = dpf.upload_file_in_tmp_folder(rst_path)
+        rst_path = dpf.upload_file_in_tmp_folder(rst_path, server=dpf_server)
 
     model = dpf.Model(rst_path)
     assert model.results is not None