[FFL-1720] Evaluation Logging: Event Schema & Data Models#3144
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dd-oleksii
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- Comprehensive tests: JSON serialization/deserialization validation
- Public API surface: Updates to expose the new event model
features/dd-sdk-android-flags/src/main/json/flags/batched-flag-evaluations-schema.json
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verified schema matches backend
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features/dd-sdk-android-flags/src/main/json/flags/batched-flag-evaluations-schema.json
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📚 Evaluation Logging Stacked Pull Requests 📚
🔲 Integration & Configuration (PR #3147)
🔲 Storage & Network Infrastructure (PR #3146)
🔲 Aggregation Engine & Test Utilities (PR #3145)
👉 Event Schema & Data Models (PR #3144)
☑️ Evaluations Subfeature (PR #3159)
⎿
typo/FFL-1720-android-kotlin-sdk-emits(feature branch)Datadog Internal
🎟️ Ticket: FFL-1720 - Implement Evaluation Logging for Android SDK
What does this PR do?
Introduces the
BatchedEvaluationEventdata model and JSON schema for aggregated feature flag evaluation events. This establishes the contract for evaluation logging that will be sent to Datadog's/api/v2/flagevaluationsintake endpoint.Motivation
We need to implement Evaluation Logging to provide comprehensive visibility into all feature flag evaluations, including defaults, errors, and successful matches. This goes beyond exposure logging by capturing aggregated metrics about evaluation frequency, error rates, and runtime default usage across all flags.
Description
This PR adds:
batched-evaluation-event-schema.json: JSON schema defining the structure of aggregated evaluation eventsBatchedEvaluationEventmodel: Generated Kotlin data class with nested types (Identifier, Context, Error, etc.)The schema follows the Evaluation Logging specification requirements for event structure, field naming, optional field handling, and timestamp conventions.
Additional Notes
Review checklist (to be filled by reviewers)