Architecture: How does MongoDB fit into the GoGrab Pulse architecture?

Documentation for Sessions

🏗️ Architecture: How does MongoDB fit into the GoGrab Pulse architecture?

Date: 2026-02-12
Time: 04:21:46 UTC
Session: gspace1-108.12
Agent: backend
Confidence: 94%
Status: ✅ Documented

📋 Decision Context

Question:

How does MongoDB fit into the GoGrab Pulse architecture?

Task: GoGrab Pulse - MongoDB backend integration

🎯 Decision Made

Chosen:

MongoDB as secondary metadata store via NestJS PulseModule, with static songs.json as the primary player data source

Options Considered:

  1. MongoDB as sole data source (dynamic API)
  2. MongoDB as secondary metadata store alongside static songs.json
  3. No MongoDB, static JSON only

💭 Reasoning

The architecture uses a dual approach: (1) The player currently reads from a static songs.json deployed with Cloudflare Pages for zero-latency, no-backend-dependency playback. This ensures the player works even if the backend is down. (2) A NestJS PulseModule (apis/backend-api/src/app/pulse/) stores richer song metadata in MongoDB collections: pulse_songs (title, artist, filename, r2Key, r2Url, duration, genre, lang, fileSize, playCount, isActive) and pulse_playlists (name, songs references). (3) The backend provides REST endpoints: GET/POST/PUT/DELETE /api/pulse/songs, POST /api/pulse/songs/bulk-upsert, POST /api/pulse/songs/:id/play (play count), GET /api/pulse/stats, GET /api/pulse/songs.json (backward-compatible format). (4) Future enhancement: the player could optionally fetch from the API for dynamic playlists, user-specific content, play count tracking, and admin management. (5) The PulseModule was registered in app.module.ts. (6) Mongoose schemas use @Schema({ collection: 'pulse_songs' }) and @Schema({ collection: 'pulse_playlists' }). (7) This pattern demonstrates how GoGrab Space users could dynamically create and manage content platforms backed by MongoDB.

📁 Files Involved

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