Connect with docker session in examples

Author: mkundu1

.github/workflows/ci.yml

@@ -10,6 +10,10 @@ on:
     branches:
       - main
 
+concurrency:
+  group: ${{ github.ref }}
+  cancel-in-progress: true
+
 jobs:
   stylecheck:
     name: Style Check
@@ -119,12 +123,25 @@ jobs:
       - name: Install pyfluent with post module
         run: make install-post
 
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v1
+        with:
+          registry: ghcr.io
+          username: ${{ secrets.GH_USERNAME }}
+          password: ${{ secrets.REPO_DOWNLOAD_PAT }}
+
+      - name: Pull Fluent docker image
+        run: make docker-pull
+
       - name: Build Documentation
         run: |
           pip install -r requirements_docs.txt
           make -C doc html
           touch doc/_build/html/.nojekyll
           echo "fluentdocs.pyansys.com" >> doc/_build/html/CNAME
+        env:
+          LICENSE_SERVER: ${{ secrets.LICENSE_SERVER }}
+          PYFLUENT_RUN_EXAMPLES_WITH_DOCKER: "1"
 
       - name: Upload HTML Documentation
         uses: actions/upload-artifact@v2

Makefile

@@ -18,6 +18,9 @@ install-pyvistaqt-requirements:
 	@sudo apt-get update
 	@sudo apt-get install libegl1 -y
 
+docker-pull:
+	@docker pull ghcr.io/pyansys/pyfluent:latest
+
 test-import:
 	@python -c "import ansys.fluent.core as pyfluent"
 

examples/00-fluent/mixing_elbow_settings_api.py

@@ -41,11 +41,34 @@
 
 # First, start Fluent as a service with Meshing Mode, Double Precision, Number
 # of Processors 4
+import os
+import subprocess
+from time import sleep
+
 import ansys.fluent.core as pyfluent
+from ansys.fluent.core import examples
 
-s = pyfluent.launch_fluent(
-    meshing_mode=True, precision="double", processor_count="4"
-)
+if "PYFLUENT_RUN_EXAMPLES_WITH_DOCKER" in os.environ:
+    examples.download_file("mixing_elbow.pmdb", "pyfluent/mixing_elbow")
+    examples.download_file("mixing_elbow.scdoc", "pyfluent/mixing_elbow")
+
+    license_server = os.getenv("LICENSE_SERVER", "leblnxlic64.ansys.com")
+    subprocess.run(["docker", "run", "-d", "--rm", "-p", "63084:63084",
+                    "-v", f"{pyfluent.EXAMPLES_PATH}:/examples",
+                    "-e", f"ANSYSLMD_LICENSE_FILE=1055@{license_server}",
+                    "-e", "REMOTING_PORTS=63084/portspan=2",
+                    "-e", "FLUENT_LAUNCHED_FROM_PYFLUENT=1",
+                    "ghcr.io/pyansys/pyfluent",
+                    "3ddp", "-t4", "-meshing", "-g", "-sifile=server.txt"])
+    sleep(60)
+
+    s = pyfluent.launch_fluent(
+        start_instance=False, ip="localhost", port=63084
+    )
+else:
+    s = pyfluent.launch_fluent(
+        meshing_mode=True, precision="double", processor_count="4"
+    )
 
 ###############################################################################
 
@@ -58,9 +81,12 @@
 # Import the CAD geometry. For Length Units, select "in".
 # Execute the Import Geometry task.
 
-
+if "PYFLUENT_RUN_EXAMPLES_WITH_DOCKER" in os.environ:
+    filename = "/examples/mixing_elbow.pmdb"
+else:
+    filename = "mixing_elbow.pmdb"
 s.workflow.TaskObject["Import Geometry"].Arguments = dict(
-    FileName="mixing_elbow.pmdb", LengthUnit="in"
+    FileName=filename, LengthUnit="in"
 )
 
 s.workflow.TaskObject["Import Geometry"].Execute()
@@ -525,4 +551,3 @@
 # s.tui.solver.file.write_case_data('mixing_elbow2_set.cas.h5').result()
 
 ###############################################################################
-s.exit()

examples/00-fluent/mixing_elbow_tui_api.py

@@ -40,11 +40,34 @@
 
 # First, start Fluent as a service with Meshing Mode, Double Precision, Number
 # of Processors 4
+import os
+import subprocess
+from time import sleep
+
 import ansys.fluent.core as pyfluent
+from ansys.fluent.core import examples
 
-s = pyfluent.launch_fluent(
-    meshing_mode=True, precision="double", processor_count="4"
-)
+if "PYFLUENT_RUN_EXAMPLES_WITH_DOCKER" in os.environ:
+    examples.download_file("mixing_elbow.pmdb", "pyfluent/mixing_elbow")
+    examples.download_file("mixing_elbow.scdoc", "pyfluent/mixing_elbow")
+
+    license_server = os.getenv("LICENSE_SERVER", "leblnxlic64.ansys.com")
+    subprocess.run(["docker", "run", "-d", "--rm", "-p", "63084:63084",
+                    "-v", f"{pyfluent.EXAMPLES_PATH}:/examples",
+                    "-e", f"ANSYSLMD_LICENSE_FILE=1055@{license_server}",
+                    "-e", "REMOTING_PORTS=63084/portspan=2",
+                    "-e", "FLUENT_LAUNCHED_FROM_PYFLUENT=1",
+                    "ghcr.io/pyansys/pyfluent",
+                    "3ddp", "-t4", "-meshing", "-g", "-sifile=server.txt"])
+    sleep(60)
+
+    s = pyfluent.launch_fluent(
+        start_instance=False, ip="localhost", port=63084
+    )
+else:
+    s = pyfluent.launch_fluent(
+        meshing_mode=True, precision="double", processor_count="4"
+    )
 
 ###############################################################################
 
@@ -57,9 +80,12 @@
 # Import the CAD geometry. For Length Units, select "in".
 # Execute the Import Geometry task.
 
-
+if "PYFLUENT_RUN_EXAMPLES_WITH_DOCKER" in os.environ:
+    filename = "/examples/mixing_elbow.pmdb"
+else:
+    filename = "mixing_elbow.pmdb"
 s.workflow.TaskObject["Import Geometry"].Arguments = dict(
-    FileName="mixing_elbow.pmdb", LengthUnit="in"
+    FileName=filename, LengthUnit="in"
 )
 
 s.workflow.TaskObject["Import Geometry"].Execute()
@@ -530,6 +556,3 @@
 # s.tui.solver.file.write_case_data("mixing_elbow2_tui.cas.h5").result()
 
 ###############################################################################
-
-# Exit from Ansys Fluent
-s.exit()