jungle-studio-data-platform

Jungle Studio Data Platform

Overview

Use this for the whole Jungle Studio data platform: Mariana Tek ingestion, shared Postgres behavior, dashboard/mobile API semantics, and the data-quality quirks that shape product logic. The maintainable unit is the platform, not separate micro-skills for one report or one admin screen bug.

When to Use

• Working on Mariana Tek sync pipelines
• Debugging dashboard/mobile discrepancies driven by shared DB state
• Investigating reservation counts, statuses, spots, future schedules, or instructor media
• Making schema/data changes that affect both Jungle apps

1. Shared-platform mental model

Two apps share one Postgres database: - jungle dashboard - jungle mobile

Any schema or dedup change must be validated against both apps. Data fixes that look safe for one surface can silently break the other.

2. Mariana Tek sync lessons

• real report volumes regularly exceed sync caps, so async/S3 export flows matter
• chunked per-day backfills are safer than giant date ranges
• never silently accept truncated 500-row results
• preserve manual overrides when admin-edited statuses must win over later syncs
• future schedule hydration may need both class-session creation and reservation sync to keep counts/spots accurate

3. Data semantics that drive the product

• reservations often duplicate one customer across one class; count distinct customers, not raw rows
• only certain statuses count as active reservations
• date/time columns may be split or serialized in surprising ways; combine/normalize carefully before frontend display
• reformer spot logic only makes sense for classes that actually use assigned spots

4. Operational/app-integration lessons

• nginx /api/ auth/proxy mistakes can make whole dashboards appear empty
• build systems can leave stale dist output if TypeScript checks block downstream asset builds
• instructor avatars do not appear just because files exist on disk; employee records must point to those URLs
• direct DB remaps for image URLs often require no rebuild/restart because APIs read live from Postgres
• after PM2 restarts, immediate public/local curls can briefly show 000/502 while tsx server.ts is booting; wait a few seconds and retry before treating it as a failed deploy

5. Instructor mobile test-user pattern

See references/instructor-mobile-test-user.md for exact SQL and verification commands.

6. Jungle brand system (visual / styling work)

For ANY Jungle UI restyling, brand alignment, mobile-app theming, or new partner-facing UIs, the canonical brand source is Exxir/jungle-website (Railway service jungle-website in exxir's Projects → Exxir App), NOT the mobile or dashboard apps. See references/jungle-brand-system.md for: color tokens, the three-family type system (Termina / Magnat Head / Queens), spacing/radii/shadows, the signature arch shape, component patterns observed on the live site, the Tailwind 4 @theme porting strategy, and the token-only vs per-screen-redesign decision split. Use the railway-cli skill to discover the right service and pull the source.

When Alex asks for a test instructor user for the mobile app, create/update both layers in the shared Postgres DB: - employees: active row with roles = ARRAY['Instructor']::text[]; the mobile instructor APIs require active = true AND 'Instructor' = ANY(roles) - app_users: row linked by employee_id, with role = 'instructor', status = 'active', and a stable email/auth subject - Current instructor mobile view is route/API driven, not password-auth driven: /instructor/:id calls GET /api/instructors/:id/mobile, which sets the Zustand role via setInstructorUser(...) - Verify with local and public GET /api/instructors/ID/mobile, GET /api/employees/instructors, and the SPA route https://jungle-mobile.apps.poofc.com/instructor/ID - If the test instructor needs useful schedule cards, also assign future rows in class_session_instructors; an instructor with no assignments will still load but shows zero upcoming classes

Common Pitfalls

1. Deleting/deduplicating class sessions without preserving FK relationships
2. Counting reservations with COUNT(*) when MT duplicates are common
3. Treating non-reformer zero-spot results as a bug
4. Forgetting that both apps share the same DB and expectations
5. Assuming uploaded instructor files automatically show up in client payloads

Verification Checklist

• [ ] Sync/backfill path handles row caps and async export behavior safely
• [ ] Reservation counts use correct active-status + dedup rules
• [ ] Future dates contain both hydrated class sessions and reservation rows when expected
• [ ] Instructor payloads include the image URLs the frontend actually renders
• [ ] Any DB/schema change was checked against both Jungle apps