Code import - branch feature/SIENTIAPDE-1646

e2e/stub_workflows.py

@@ -0,0 +1,73 @@
+"""No-op Temporal workflows for managed scouter/laborious namespaces in E2E."""
+
+from typing import Any
+
+from temporalio import workflow
+
+
+@workflow.defn(name='scouter')
+class ScouterStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+@workflow.defn(name='pi_web_api_scouter')
+class PiWebApiScouterStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+@workflow.defn(name='predictions_batch')
+class PredictionsBatchStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+@workflow.defn(name='xgboost_predictions_batch')
+class XgboostPredictionsBatchStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+@workflow.defn(name='drift')
+class DriftStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+@workflow.defn(name='simple_metrics')
+class SimpleMetricsStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+@workflow.defn(name='minimal_retrain')
+class MinimalRetrainStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+@workflow.defn(name='xgboost_minimal_retrain')
+class XgboostMinimalRetrainStub:
+    @workflow.run
+    async def run(self, _input_data: dict[str, Any]) -> None:
+        return None
+
+
+STUB_WORKFLOW_CLASSES = [
+    ScouterStub,
+    PiWebApiScouterStub,
+    PredictionsBatchStub,
+    XgboostPredictionsBatchStub,
+    DriftStub,
+    SimpleMetricsStub,
+    MinimalRetrainStub,
+    XgboostMinimalRetrainStub,
+]