SIENTIAPDE-1169

Enable SDK metrics service in values.yaml and update worker.py to initialize SDK metrics server with Prometheus configuration, enhancing observability of the application.

scouter/worker/worker.py

@@ -1,5 +1,6 @@
 from temporalio import workflow, client
 from temporalio.worker import Worker
+from temporalio.runtime import Runtime, TelemetryConfig, PrometheusConfig
 
 with workflow.unsafe.imports_passed_through():
     import sys
@@ -21,6 +22,7 @@ with workflow.unsafe.imports_passed_through():
     )
 
 POD_ID = os.getenv("HOSTNAME", "localhost")
+SDK_METRICS_PORT = int(os.getenv('HTTP_SDK_METRICS_PORT', "9091"))
 
 
 async def main():
@@ -62,11 +64,21 @@ async def main():
             'KAFKA_BOOTSTRAP_SERVERS', 'localhost:9092')
     )
 
+    logger.info(f'Starting SDK Metrics Server on port {SDK_METRICS_PORT}...')
+
+    new_runtime = Runtime(
+        telemetry=TelemetryConfig(
+            metrics=PrometheusConfig(
+                bind_address=f"0.0.0.0:{SDK_METRICS_PORT}")
+        )
+    )
+
     logger.info('Starting Temporal Client...')
 
     temporal_client = await client.Client.connect(
         target_host=host,
-        namespace=os.getenv('TEMPORAL_NAMESPACE', 'default')
+        namespace=os.getenv('TEMPORAL_NAMESPACE', 'laborious'),
+        runtime=new_runtime
     )
 
     logger.info('Starting Workers...')