make examples visible to tenant in CI

Author: kzscisoft

examples/GeometryOptimisation/bluemira_simvue_geometry_optimisation.py

@@ -22,6 +22,7 @@
 A quick tutorial on the optimisation of geometry in bluemira
 """
 
+import os
 import logging
 
 from bluemira.geometry.optimisation import GeometryOptimisationProblem
@@ -69,6 +70,8 @@
         "optimiser.ftol_rel": ftol_rel,
     },
     folder="/simvue_client_demos",
+    visibility="tenant" if os.environ.get("CI") else None,
+    tags=["bluemira", "simvue_client_examples"],
     description="A simple GeometryOptimisationProblem, where we minimise the length of parameterised geometry using gradient-based optimisation algorithm.",
 )
 

examples/Logging/logging-to-simvue.py

@@ -9,10 +9,11 @@
 def simvue_logger_demo(ci: bool) -> None:
     with Run() as run:
         run.init(
-            tags=["logging"],
+            tags=["logging", "simvue_client_examples"],
             folder="/simvue_client_demos",
             description="Logging test",
             retention_period="1 hour" if ci else None,
+            visibility="tenant" if ci else None,
         )
 
         logger = logging.getLogger(__name__)

examples/OpenFOAM/simvue_openfoam.py

@@ -71,8 +71,9 @@ def custom_parser(file_content: str, **_) -> tuple[dict[str, Any], dict[str, Any
         run.init(
             f"open_foam_demo_{uniq_id}",
             folder="/simvue_client_demos",
-            tags=["OpenFOAM"],
+            tags=["OpenFOAM", "simvue_client_examples"],
             retention_period="1 hour" if ci else None,
+            visibility="tenant" if ci else None,
         )
         run.add_process(
             identifier="OpenFOAM",

examples/Optuna/PyTorch/simvue_optuna_pytorch.py

@@ -137,7 +137,9 @@ def objective(trial):
             run.init(
                 folder="/optuna/tests/%s" % FOLDER_NAME,
                 metadata=config,
+                tags=["pytorch", "simvue_client_examples"],
                 retention_period="1 hour" if ci else None,
+                visibility="tenant" if ci else None,
             )
 
             # Training of the model.

examples/PyTorch/main.py

@@ -225,9 +225,10 @@ def simvue_pytorch_example(
 
     with Run() as run:
         run.init(
-            tags=["PyTorch"],
+            tags=["PyTorch", "simvue_client_examples"],
             folder="/simvue_client_demos",
             retention_period="1 hour" if ci else None,
+            visibility="tenant" if ci else None,
         )
 
         for epoch in range(1, epochs + 1):

examples/SU2/SU2.py

@@ -99,9 +99,11 @@ def metadata_parser(file_name: str, **_) -> tuple[dict[str, Any], dict[str, Any]
                 "SU2",
                 os.path.splitext(os.path.basename(config_filename))[0],
                 os.path.splitext(os.path.basename(mesh_filename))[0],
+                "simvue_client_examples",
             ],
             description="SU2 tutorial https://su2code.github.io/tutorials/Inviscid_ONERAM6/",
             retention_period="1 hour" if ci else None,
+            visibility="tenant" if ci else None,
         )
         run.add_process(
             identifier="SU2_simulation",

examples/Tensorflow/dynamic_rnn.py

@@ -67,8 +67,9 @@ def run_tensorflow_example(
             "computation over sequences with variable length. This example is using a toy dataset to "
             "classify linear sequences. The generated sequences have variable length.",
             retention_period="1 hour" if ci else None,
-            tags=["tensorflow"],
+            tags=["tensorflow", "simvue_client_examples"],
             folder="/simvue_client_demos",
+            visibility="tenant" if ci else None,
         )
         run.save_file(__file__, "code")