feat(calibration): 10-question battery, config-driven voice, WCAG-safe theme
Rework calibration.py into a fixed 10-question battery:
- 4 critical questions (language, name, persona name, gender)
- 6 random probes drawn from the 12-item pool (all AI/tech-unrelated)
Theme inference (palette × typography × density × labels):
- Palette: warmth × contrast × energy → default|rose|morning|evening|
sage|paper|ink; all choices verified WCAG AA ≥4.5:1.
- Typography: elaborate+warm → serif-warm; cool+ink → mono;
high-contrast+cool → serif-formal; energetic+warm → mixed-modern;
otherwise sans.
- Density: elaborate cadence → airy; terse → dense; else normal.
- Labels: serif-warm/mixed-modern → cursive; mono → prefix; else block.
Voice selection:
- Removed VOICE_POOL (lang × gender heuristic).
- Added _load_persona_voices(): reads [voices.<lang>].id from a
cart.toml persona file at PCART_CONFIG_PATH or app/conf/persona.toml.
Falls back to FALLBACK_VOICES when no file is present.
- _pick_voice(lang) selects by language key only — no gender heuristic.
cart_store.Cart changes:
- Added calibration_version: int = 1 (new carts emit 2)
- Bumped version: 3 → 4
- Removed unused import
No changes to app/main.py — calibration wiring was already correct.
This commit is contained in:
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