Generalized Omni-dimensional Development

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ai_pipeline_audit_logger [2025/05/29 12:44] – [Example 3: Structured Logging to External Systems] eagleeyenebulaai_pipeline_audit_logger [2025/05/29 12:47] (current) – [Best Practices] eagleeyenebula
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 ==== Example 4: Automated Anomaly Reporting ==== ==== Example 4: Automated Anomaly Reporting ====
  
-Automatically flag anomalies in pipeline execution: +**Automatically flag anomalies in pipeline execution:** 
-```python+<code> 
 +python
 def detect_anomaly(metrics): def detect_anomaly(metrics):
     if metrics["accuracy"] < 0.8:     if metrics["accuracy"] < 0.8:
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             status="WARNING"             status="WARNING"
         )         )
- +</code> 
-# Example anomaly detection+**Example anomaly detection** 
 +<code>
 results = {"accuracy": 0.75} results = {"accuracy": 0.75}
 detect_anomaly(results) detect_anomaly(results)
-``` +</code>
- +
----+
  
 ===== Extending the Framework ===== ===== Extending the Framework =====
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 The **AuditLogger** is designed to be highly extensible for custom and domain-specific requirements. The **AuditLogger** is designed to be highly extensible for custom and domain-specific requirements.
  
-### 1. Custom Status Codes +1. Custom Status Codes 
-Extend the logger to support additional status categories: +   * Extend the logger to support additional status categories: 
-```python+<code> 
 +python
 class ExtendedAuditLogger(AuditLogger): class ExtendedAuditLogger(AuditLogger):
     VALID_STATUSES = ["INFO", "WARNING", "FAILURE", "CRITICAL"]     VALID_STATUSES = ["INFO", "WARNING", "FAILURE", "CRITICAL"]
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             raise ValueError(f"Invalid status: {status}")             raise ValueError(f"Invalid status: {status}")
         super().log_event(event_name, details, status)         super().log_event(event_name, details, status)
-```+</code>
  
----+2. Integration with Observability Platforms 
 +   * Push logs to third-party observability tools like Prometheus, Grafana, or Splunk.
  
-### 2. Integration with Observability Platforms +**Example:** 
-Push logs to third-party observability tools like Prometheus, Grafana, or Splunk. +<code> 
- +python
-Example: +
-```python+
 import requests import requests
  
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             "event": event_name, "details": details, "status": status             "event": event_name, "details": details, "status": status
         })         })
-``` +</code>
- +
----+
  
 ===== Best Practices ===== ===== Best Practices =====
  
 1. **Define Clear Log Levels:**   1. **Define Clear Log Levels:**  
-   Use consistent log statuses (e.g., `INFO`, `WARNING`, `FAILURE`) to facilitate pipeline observability and debugging.+   * Use consistent log statuses (e.g., **INFO**, **WARNING**, **FAILURE**) to facilitate pipeline observability and debugging.
  
 2. **Enrich Logs with Context:**   2. **Enrich Logs with Context:**  
-   Always include additional `details` to provide actionable information to downstream systems or engineers.+   * Always include additional `details` to provide actionable information to downstream systems or engineers.
  
 3. **Enable Structured Logging:**   3. **Enable Structured Logging:**  
-   Use structured formats (e.g., JSON) for easier parsing, searching, and integration with external systems.+   * Use structured formats (e.g., JSON) for easier parsing, searching, and integration with external systems.
  
 4. **Monitor and Alert in Real Time:**   4. **Monitor and Alert in Real Time:**  
-   Integrate log messages into monitoring frameworks to enable proactive alerts.+   * Integrate log messages into monitoring frameworks to enable proactive alerts.
  
 5. **Extend for Domain-Specific Needs:**   5. **Extend for Domain-Specific Needs:**  
-   Develop custom child classes for unique pipeline scenarios like anomaly detection or multi-pipeline orchestration. +   * Develop custom child classes for unique pipeline scenarios like anomaly detection or multi-pipeline orchestration.
- +
----+
  
 ===== Conclusion ===== ===== Conclusion =====
ai_pipeline_audit_logger.1748522685.txt.gz · Last modified: 2025/05/29 12:44 by eagleeyenebula