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Refactor monitoring and metrics integration across various components

- Removed coverage options from `pyproject.toml`.
- Updated prediction metrics in `README.md` to replace `pipeline_name` with `workflow_name`.
- Upgraded `sientia-dataops-library` dependency version in `requirements-light.txt` and `requirements.txt`.
- Enhanced metrics handling in `laborious` activities, including `Activities`, `Gates`, `MLFlow`, and `OPC`, to utilize a new `MetricsController`.
- Refactored metric emission methods to improve clarity and consistency across the codebase.
- Updated tests to reflect changes in metrics handling and ensure proper functionality.
This commit is contained in:
vitor-aignosi
2025-11-04 16:49:10 -03:00
parent 77550d49a6
commit a3da800cab
22 changed files with 1350 additions and 417 deletions
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README.md
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@@ -607,18 +607,18 @@ The Laborious system exposes comprehensive Prometheus metrics for operational vi
### Prediction Operation Metrics
- `laborious_predictions_written_count`: Counter for successful prediction exports
- Labels: `pod_id`, `model_name`, `pipeline_name`
- Labels: `pod_id`, `model_name`, `workflow_name`
- `laborious_prediction_confidence_monitor`: Gauge for current prediction confidence levels
- Labels: `pod_id`, `model_name`, `pipeline_name`
- Labels: `pod_id`, `model_name`, `workflow_name`
- `laborious_prediction_response_time_monitor`: Histogram for prediction response times
- Labels: `pod_id`, `model_name`, `pipeline_name`
- Labels: `pod_id`, `model_name`, `workflow_name`
- Buckets: [0.01, 0.05, 0.1, 0.2, 0.5, 1.0, 2.0, 5.0, 10.0]
### OPC Export Metrics
- `laborious_prediction_opc_writing_count`: Counter for OPC server write operations
- Labels: `pod_id`, `model_name`, `pipeline_name`, `opc_server_id`
- Labels: `pod_id`, `model_name`, `workflow_name`, `opc_server_id`
- `laborious_prediction_opc_writing_response_time_monitor`: Histogram for OPC write response times
- Labels: `pod_id`, `model_name`, `pipeline_name`, `opc_server_id`
- Labels: `pod_id`, `model_name`, `workflow_name`, `opc_server_id`
- Buckets: [0.01, 0.05, 0.1, 0.2, 0.5, 1.0, 2.0, 5.0, 10.0]
### Data Quality Metrics