refactor(examples): update CSVSampleStores with old keys

examples/ml-multi-cloud/ml_multicloud_sample_store.yaml

@@ -1,28 +1,29 @@
 # Copyright IBM Corporation 2025, 2026
 # SPDX-License-Identifier: MIT
-metadata:
-  name: "ml_multi_cloud"
-  description: "samplestore initialised with ml_multi_cloud data"
-specification:
-  module:
-    moduleName: orchestrator.core.samplestore.sql
-    moduleClass: SQLSampleStore
 copyFrom:
   - module:
       moduleClass: CSVSampleStore
       moduleName: orchestrator.core.samplestore.csv
-    storageLocation:
-      path: 'ml_export.csv'
     parameters:
-      generatorIdentifier: 'multi-cloud-ml'
-      identifierColumn: 'config'
-      constitutivePropertyColumns:
-        - cpu_family
-        - vcpu_size
-        - nodes
-        - provider
       experiments:
-        - experimentIdentifier: 'benchmark_performance'
-          propertyMap:
-            wallClockRuntime: 'wallClockRuntime'
-            status: 'status'
+        - actuatorIdentifier: replay
+          constitutivePropertyMap:
+            - cpu_family
+            - vcpu_size
+            - nodes
+            - provider
+          experimentIdentifier: benchmark_performance
+          observedPropertyMap:
+            - wallClockRuntime
+            - status
+      generatorIdentifier: multi-cloud-ml
+      identifierColumn: config
+    storageLocation:
+      path: ml_export.csv
+metadata:
+  description: samplestore initialised with ml_multi_cloud data
+  name: ml_multi_cloud
+specification:
+  module:
+    moduleClass: SQLSampleStore
+    moduleName: orchestrator.core.samplestore.sql

examples/pfas-generative-models/gen_models_molgx_test_sample_store.yaml

@@ -1,22 +1,25 @@
 # Copyright IBM Corporation 2025, 2026
 # SPDX-License-Identifier: MIT
-specification:
-  module:
-    moduleClass: SQLSampleStore
-    moduleName: orchestrator.model.sqlstore
 copyFrom:
   - module:
       moduleClass: CSVSampleStore
-    storageLocation:
-      path: 'data/GM_Comparison/MolGX/Sample_0/PFAS_MolGX_test_SHORT_v0.csv'
+      moduleName: orchestrator.core.samplestore.csv
     parameters:
-      generatorIdentifier: 'gt4sd-pfas-molgx-model-one'
-      identifierColumn: 'smiles'
-      constitutivePropertyColumns: ['smiles']
       experiments:
-        - experimentIdentifier: 'molgx-toxicity-inference-experiment'
-          propertyMap:
-            pka: "Real_pKa (-0.83, 10.58)"
-            logws: "Real_LogWS (-6.19, 1.13)"
-            "biodegradation halflife": "Real_BioDeg (0.47, 2.66)"
-            ld50: "Real_LD50 (3.9, 7543.0)"
+        - actuatorIdentifier: replay
+          constitutivePropertyMap:
+            - smiles
+          experimentIdentifier: molgx-toxicity-inference-experiment
+          observedPropertyMap:
+            biodegradation halflife: Real_BioDeg (0.47, 2.66)
+            ld50: Real_LD50 (3.9, 7543.0)
+            logws: Real_LogWS (-6.19, 1.13)
+            pka: Real_pKa (-0.83, 10.58)
+      generatorIdentifier: gt4sd-pfas-molgx-model-one
+      identifierColumn: smiles
+    storageLocation:
+      path: data/GM_Comparison/MolGX/Sample_0/PFAS_MolGX_test_SHORT_v0.csv
+specification:
+  module:
+    moduleClass: SQLSampleStore
+    moduleName: orchestrator.core.samplestore.sql

tests/resources/samplestore/sample_store_resource.json

@@ -1,45 +1,60 @@
 {
-  "kind": "samplestore",
+  "created": "2026-02-25T06:07:13.737897Z",
   "config": {
+    "specification": {
+      "module": {
+        "moduleName": "orchestrator.core.samplestore.sql",
+        "moduleClass": "SQLSampleStore"
+      },
+      "parameters": {
+        "identifier": "18ced1"
+      }
+    },
     "copyFrom": [
       {
         "module": {
           "moduleName": "orchestrator.core.samplestore.csv",
-          "modulePath": ".",
-          "moduleType": "sample_store",
           "moduleClass": "CSVSampleStore"
         },
         "parameters": {
           "experiments": [
             {
-              "propertyMap": { "wallClockRuntime": "wallClockRuntime" },
-              "experimentIdentifier": "benchmark_performance"
+              "experimentIdentifier": "benchmark_performance",
+              "actuatorIdentifier": "replay",
+              "observedPropertyMap": [
+                "wallClockRuntime",
+                "status"
+              ],
+              "constitutivePropertyMap": [
+                "cpu_family",
+                "vcpu_size",
+                "nodes",
+                "provider"
+              ]
             }
           ],
-          "constitutivePropertyColumns": ["cpu_family", "vcpu_size", "nodes", "provider"],
-          "identifierColumn": "config",
-          "generatorIdentifier": "multi-cloud-ml"
+          "generatorIdentifier": "multi-cloud-ml",
+          "identifierColumn": "config"
         },
         "storageLocation": {
-          "path": "examples/ml-multi-cloud/ml_export.csv",
-          "scheme": "file"
+          "path": "ml_export.csv"
         }
       }
     ],
-    "specification": {
-      "module": {
-        "moduleName": "orchestrator.core.samplestore.sql",
-        "modulePath": ".",
-        "moduleType": "sample_store",
-        "moduleClass": "SQLSampleStore"
-      },
-      "parameters": { "identifier": "4847c1" },
-      "storageLocation": {}
+    "metadata": {
+      "name": "ml_multi_cloud",
+      "description": "samplestore initialised with ml_multi_cloud data"
     }
   },
-  "status": [],
-  "created": "2024-11-13T10:26:37.090387Z",
-  "version": "v2",
-  "metadata": {},
-  "identifier": "4847c1"
+  "identifier": "18ced1",
+  "status": [
+    {
+      "recorded_at": "2026-02-25T06:07:13.737910Z",
+      "event": "created"
+    },
+    {
+      "recorded_at": "2026-02-25T06:07:13.751199Z",
+      "event": "added"
+    }
+  ]
 }

website/docs/actuators/replay.md

@@ -39,27 +39,27 @@ The relevant fields are:
 - `storageLocation`: This is the path the CSV file
 - `parameters.identifierColumn`: This is the column in the CSV, if any, to use
   as the identifier of the created entities.
-- `parameters.constitutivePropertyColumns`: This is a list of the columns in the
-  CSV file that define the constitutive properties of the entities
+- `parameters.constitutivePropertyMap`: This is a list of the columns in the CSV
+  file that define the constitutive properties of the entities
 - `experiments`: This section defines the experiments that were used to generate
   the data in the CSV file
   - `experiments.experimentIdentifier`: This is the name for the experiment in
     ado
-  - `experiments.propertyMap`: This is a dictionary mapping the names of the
-    properties experiment as they will appear in `ado` to column names in the
-    CSV
+  - `experiments.observedPropertyMap`: This is a dictionary mapping the names of
+    the properties experiment as they will appear in `ado` to column names in
+    the CSV
 
 The above YAML says to associate the data in the columns `wallClockRuntime` and
 `status` with an experiment 'benchmark_performance' that measures properties
 with the same name.
 
-The `propertyMap` field allows you to handle column headers had names that are
-not suitable for names of properties. For example if there was a column with
-measurements on a molecule called `Real_pKa (-0.83, 10.58)`, you might want to
-associate this with a property called `pka` instead:
+The `observedPropertyMap` field allows you to handle column headers had names
+that are not suitable for names of properties. For example if there was a column
+with measurements on a molecule called `Real_pKa (-0.83, 10.58)`, you might want
+to associate this with a property called `pka` instead:
 
 ```yaml
-propertyMap:
+observedPropertyMap:
   pka: "Real_pKa (-0.83, 10.58)"
 ```