M1 of docs/plans/wardrobe-module.md — pure data layer + backend plumbing,
zero UI (that's M2). A user can now hold a digital wardrobe per space:
brand merch, club Trikots, family Kleiderschrank, team Kostüme, practice
Dresscode, and personal closet all live as separate pools under the same
Dexie tables, space-scoped like tags/scenes/agents after Phase 2c.
Data model — two tables, no join:
- wardrobeGarments (Dexie v41): single clothing items / accessories.
Indexed on `category` + `createdAt` + `isArchived`. Encrypted:
name/brand/color/size/material/tags/notes. Plaintext: category,
mediaIds, counters, timestamps — all indexed or structural.
`mediaIds[0]` is the primary photo used for try-on; additional
ids are alternate views (back, detail) for M7.
- wardrobeOutfits (Dexie v41): named compositions referencing
garment ids. Encrypted: name/description/tags. Plaintext:
garmentIds (FK array), occasion (closed enum — useful for
undecrypted filtering), season, booleans, lastTryOn snapshot.
- picture.images gains `wardrobeOutfitId?: string | null` as a
plaintext back-reference. Try-on results land in the Picture
gallery like any other generation; the outfit detail view
queries them via this id rather than maintaining a third table.
Space scope:
- `wardrobe` added to all five explicit allowlists in shared-types/
spaces.ts (personal is wildcard, no edit needed). Each space type
gets a one-line comment explaining the real-world use case.
- App registry: `wardrobe` entry in shared-branding/mana-apps.ts
with a rose→fuchsia gradient icon (T-shirt on hanger silhouette),
color #e11d48, tier 'beta', status 'beta'.
- Module registry: wardrobeModuleConfig imported + appended to
MODULE_CONFIGS so SYNC_APP_MAP picks it up automatically.
Backend:
- MAX_REFERENCE_IMAGES bumped 4 → 8 in picture/generate-with-
reference (plus the client-side default in ReferenceImagePicker).
Justified with a comment: face + body + top + bottom + shoes +
outerwear + 2 accessories = 8. Cost doesn't scale with ref count
(OpenAI bills per output), so the bump is a pure capability
expansion with no credit-side risk.
- New POST /api/v1/wardrobe/garments/upload wraps uploadImageToMedia
with app='wardrobe'. Registered under /api/v1/wardrobe in index.ts.
Pattern 1:1 with the profile/me-images/upload endpoint; tier-gating
falls out of wardrobe NOT being in RESOURCE_MODULES (tier='guest'
works — consistent with picture's plain CRUD).
Stores emit domain events (WardrobeGarmentAdded, WardrobeOutfitCreated,
WardrobeOutfitTryOn, etc.) so later mana-ai missions can observe
activity without polling.
No UI in this commit. M2 (Garments-Grundlayer) wires the route + grid
+ upload-zone; M3 the Outfit composer; M4 the Try-On integration.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pre-researched dossiers (37 JSON files, DE+EN) replace the old
personality strings as the source of truth for the Who guessing game.
A strong cloud LLM (Gemini 2.5 Flash) generates structured facts per
character — voice, values, achievements, anecdotes, relationships,
forbidden-early-words, and three-stage hints — so the small runtime
model (gemma3:4b) gets only what it needs per turn instead of raw
personality text that leaks the identity immediately.
- dossier-types.ts: Zod schema + TS types for CharacterDossier
- dossier-loader.ts: boot-time loader with validation + coverage report
- generate-who-dossiers.ts: one-shot generator script (Google Gemini
or local mana-llm fallback, idempotent, --force/--id flags)
- 37 dossier JSON files in data/dossiers/
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
