Analytics module: event ingestion and reporting APIs

[devIKargi]

Direction:
Create an analytics module for event tracking and reporting. Provide an event ingestion API, storage schema for events, and reporting endpoints to compute common metrics (active users, event counts, retention).

Acceptance criteria:

• Endpoint to ingest events with schema validation and basic deduplication.
• Event storage optimized for analytics queries (e.g., time-series DB or partitioned tables).
• Reporting API endpoints for common metrics: daily active users (DAU), event counts, top events, and basic retention cohorts.
• Batch jobs or materialized views to precompute heavy aggregates.
• Tests for ingestion, schema validation, and sample reporting queries.
• Docs describing event schema, retention policy, and how to add new events.

[Bidex-cmyk]

I would like to apply for issue #368 to build the event ingestion and reporting analytics module for stellAIverse-backend. I have extensive experience building scalable analytics pipelines, designing time-series/partitioned database schemas, and writing aggregation engines for real-time and batch metric reporting.

Here is my planned execution strategy:

Event Ingestion API & Validation:

Implement an ingestion endpoint (e.g., POST /api/v1/analytics/events) with schema validation (via Zod or Joi) to validate event types, user IDs, timestamps, and custom metadata payloads.

Add lightweight deduplication (using idempotency keys/event IDs backed by Redis or database constraint checks) to prevent double-counting.

Storage Architecture & Aggregation Strategy:

Design a performant storage schema optimized for time-series analytics queries (using indexed, date-partitioned tables or a dedicated time-series database).

Set up scheduled batch aggregation tasks / materialized views to precompute heavy metrics and keep reporting API latency minimal.

Reporting API & Core Metrics:

Implement reporting endpoints (e.g., GET /api/v1/analytics/reports) to query key metrics:

Daily Active Users (DAU) and distinct user trends over flexible time ranges.

Event Volume & Top Events: Counts grouped by event name and custom dimensions.

Retention Cohorts: Simple user retention matrix calculations based on activity timestamps.

Testing & Documentation:

Write comprehensive unit and integration tests covering event ingestion validation, deduplication logic, and analytical aggregation accuracy.

Document the event schema specifications, metric definitions, data retention/pruning policies, and developer guidelines for registering new custom events.

[amankoli09]

Can i work on this issue PR merge within 1hr

[grantfox-oss]

🦊 GrantFox — @amankoli09 has been assigned to this issue as part of the Third Campaign campaign!

Next steps:

1. Open a Pull Request referencing this issue (e.g., Closes #368)
2. Your PR will be reviewed by the StellAIverse maintainers

Good luck! Track your progress on GrantFox.

[grantfox-oss]

🎉 This issue has been marked as completed on GrantFox as part of the Third Campaign campaign!

@amankoli09's PR #377 was approved and merged by @devIKargi.

🏆 @amankoli09: You earned 40 FoxPoints for this contribution! Your current tier: Builder (1,142 total points). Track your full progress on GrantFox.

👏 Great work, @amankoli09! Keep contributing to StellAIverse.