pyr0ball
9371df1c95
Task 13: StyleAdapter with 5 cuisine templates (Italian, Latin, East Asian,
Eastern European, Mediterranean). Each template includes weighted method_bias
(sums to 1.0), element-filtered aromatics/depth/structure helpers, and
seasoning/finishing-fat vectors. StyleTemplate is a fully immutable frozen
dataclass with tuple fields.
Task 14: LLMRecipeGenerator for Levels 3 and 4. Level 3 builds a structured
element-scaffold prompt; Level 4 generates a minimal wildcard prompt (<1500
chars). Allergy hard-exclusion wired through RecipeRequest.allergies into
both prompt builders and the generate() call path. Parsed LLM response
(title, ingredients, directions, notes) fully propagated to RecipeSuggestion.
Task 15: User settings key-value store. Migration 012 adds user_settings
table. Store.get_setting / set_setting with upsert. GET/PUT /settings/{key}
endpoints with Pydantic SettingBody, key allowlist, get_session dependency.
RecipeEngine reads cooking_equipment from settings when hard_day_mode=True.
55 tests passing.
13 lines
436 B
YAML
13 lines
436 B
YAML
style_id: italian
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name: Italian
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aromatics: [basil, oregano, garlic, onion, fennel, rosemary, thyme, sage, marjoram]
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depth_sources: [parmesan, pecorino, anchovies, canned tomato, porcini mushrooms]
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brightness_sources: [lemon, white wine, tomato, red wine vinegar]
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method_bias:
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braise: 0.30
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roast: 0.30
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saute: 0.25
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simmer: 0.15
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structure_forms: [pasta, wrapped, layered, risotto]
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seasoning_bias: sea salt
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finishing_fat: olive oil
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