Implement End-to-End Logging for Slack Search Event to Datamesh (Pilot)

[SampathKumarbn]

Objective

Implement end-to-end logging for a single Slack analytics event via Datamesh publisher, mapped to Datamesh principles. This issue will serve as a reference for aligning analytics event logging with Datamesh standards using the SearchHandler as the implementation target.

Scope

• Select a representative Slack event for logging (e.g., "search" action from SearchHandler.cs)
• Integrate event publishing to Datamesh using the Datamesh publisher pattern
• Add basic error handling and runtime logging to ensure reliability and traceability
• Snowflake-side validation is explicitly out of scope

Implementation Steps

1. Review the existing SearchHandler.cs event logging
2. Map the event schema and flow to Datamesh principles (ownership, discoverability, schema governance)
3. Refactor or extend SearchHandler to produce an event via the Datamesh publisher
4. Ensure logs are written when event is published or when failures occur (error handling)
5. Test that the event appears correctly in Datamesh/Snowflake (event structure and schema match required definitions)
6. Prepare implementation and documentation as a blueprint for further analytics event logging changes

Outcome

• One Slack event (search) is logged end-to-end and visible in Datamesh/Snowflake with the correct schema.
• Review completed and code ready to be used as a reference for other events.

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Related:

• Epic KNOW-5832 (Datamesh standards)