Dress to Impress (DTI) is a tool for designing Neopets outfits. Load your pet, browse items, and see how they look together—all with a mobile-friendly interface!
- **React outfit editor**: Embedded in `app/javascript/wardrobe-2020/`, provides the main customization UI
- **Modeling system**: Crowdsources pet/item appearance data by fetching from Neopets APIs when users load their pets
### The Impress 2020 Complication
In 2020, we started a NextJS rewrite ("Impress 2020") to modernize the frontend. We've since consolidated back into Rails, but **Impress 2020 still provides essential services**:
- **GraphQL API**: Some outfit appearance data still loads via GraphQL (being migrated to Rails REST APIs)
- **Image generation**: Runs a headless browser to render outfit thumbnails and convert HTML5 assets to PNGs
See [docs/impress-2020-dependencies.md](./docs/impress-2020-dependencies.md) for migration status.
## Key Concepts
### Customization Data Model
The core data model powers outfit rendering and item compatibility. See [docs/customization-architecture.md](./docs/customization-architecture.md) for details.
**Quick summary**:
-`body_id` is the key compatibility constraint (not species or color directly)
- Items have different `swf_assets` (visual layers) for different bodies
- Restrictions are subtractive: start with all layers, hide some based on zone restrictions
- Data is crowdsourced through "modeling" (users loading pets to contribute appearance data)
### Modeling (Crowdsourced Data)
DTI doesn't pre-populate item/pet data. Instead:
1. User loads a pet (via pet name lookup)
2. DTI fetches appearance data from Neopets APIs (legacy Flash/AMF protocol)
3. New `SwfAsset` records and relationships are created
4. Over time, the database learns which items fit which pet bodies
This "self-sustaining" approach means the site stays up-to-date as Neopets releases new content, without manual data entry.
Authentication data lives in the `auth_users` table (managed by the `AuthUser` model). This was historically in a separate `openneo_id` database (a legacy from when "OpenNeo ID" was envisioned as a service to unify auth across multiple OpenNeo projects). As of November 2025, the databases have been consolidated into a single database for simplicity.