# One source of truth for three consumers: golden eval queries, demo fixture
# keys, and UI suggestion chips. Every chip therefore has a fixture, and every
# fixture has a golden query.

scenarios:
  - key: focus-coding
    chip: "Focus while coding"
    query: "something calm for while I'm programming, but not boring"
    facets: { activity: coding, familiarity: mixed }

  - key: workout-energy
    chip: "Energy for the gym"
    query: "high-energy music for a heavy workout"
    facets: { activity: workout, mood: energetic }

  - key: dutch-chill
    chip: "Dutch-language & relaxed"
    query: "relaxed Dutch-language music for lounging on the couch"
    facets: { language: nl, mood: relaxed }

  - key: nineties-nostalgia
    chip: "90s nostalgia"
    query: "take me back to the nineties"
    facets: { era: "1990s" }

  - key: discover-new
    chip: "Surprise me with something new"
    query: "something I don't know yet but will probably like"
    facets: { familiarity: new } # asserts known-track exclusion

  - key: rainy-sunday
    chip: "Rainy Sunday"
    query: "melancholic but warm, for a rainy Sunday morning"
    facets: { mood: melancholic }

  - key: dinner-background
    chip: "Background for dinner"
    query: "something jazzy for during dinner, not too present"
    facets: { mood: understated }

# Multi-turn refinement goldens: reuse the grounded pool, no re-grounding.
refinements:
  - key: focus-coding-refine
    after: focus-coding
    query: "a bit more electronic, and drop number 3"