SIENTIAPDE-1314
Enhance OPC Metrics Handling and Refactor Write Operations - Updated the OPC class to return response times for write operations, improving metrics tracking. - Refactored the Gates activity to incorporate OPC metrics into the metrics writing process. - Adjusted the manage_output_tags method in OpcRepository to return response times for each tag written. - Modified tests to validate the new metrics structure and ensure correct behavior of the updated methods.
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@@ -604,6 +604,7 @@ class Gates(BaseActivity):
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prediction = DataFrame(input_data['prediction'])
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prediction_confidence = prediction['prediction_confidence'].values[0]
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response_time = prediction['response_time'].values[0]
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opc_metrics = input_data['opc_metrics']
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self.info(f'Writing metrics for model {metadata["model_name"]}', metadata)
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@@ -625,4 +626,21 @@ class Gates(BaseActivity):
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pipeline_name=metadata['workflow_name'],
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).observe(response_time)
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for server_id, tags in opc_metrics.items():
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for tag, response_time in tags.items():
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metrics.PREDICTION_OPC_WRITING_RESPONSE_TIME_MONITOR.labels(
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pod_id=self.pod_id,
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model_name=metadata['model_name'],
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pipeline_name=metadata['workflow_name'],
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opc_server_id=server_id,
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tag=tag,
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).observe(response_time)
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metrics.PREDICTION_OPC_WRITING_COUNT.labels(
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pod_id=self.pod_id,
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model_name=metadata['model_name'],
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pipeline_name=metadata['workflow_name'],
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opc_server_id=server_id,
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tag=tag,
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).inc()
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self.info(f'Metrics written for model {metadata["model_name"]}', metadata)
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