pyr0ball
793df1b5cf
- Saved recipes: save/unsave, star rating, notes, tags, collections (migrations 018-020) - Recipe browser: domain/category browsing with pantry match badges, pagination - Recipe detail panel: full directions, ingredient checklist, swap candidates, prep notes - Grocery links: affiliate links for missing ingredients - Nutrition filters and display chips on recipe cards - Bookmark toggle persisted to saved_recipes table - Tier gates on saved recipes (paid) and collections (premium) - Browser telemetry for domain/category click tracking - Cloud compose: CLOUD_DATA_ROOT volume mount for per-user SQLite trees - manage.sh: cf-orch agent sidecar in local stack - README: updated feature list and stack description
89 lines
4.4 KiB
Python
89 lines
4.4 KiB
Python
"""
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Recipe browser domain schemas.
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Each domain provides a two-level category hierarchy for browsing the recipe corpus.
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Keyword matching is case-insensitive against the recipes.category column and the
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recipes.keywords JSON array. A recipe may appear in multiple categories (correct).
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These are starter mappings based on the food.com dataset structure. Run:
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SELECT category, count(*) FROM recipes
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GROUP BY category ORDER BY count(*) DESC LIMIT 50;
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against the corpus to verify coverage and refine keyword lists before the first
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production deploy.
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"""
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from __future__ import annotations
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DOMAINS: dict[str, dict] = {
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"cuisine": {
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"label": "Cuisine",
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"categories": {
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"Italian": ["italian", "pasta", "pizza", "risotto", "lasagna", "carbonara"],
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"Mexican": ["mexican", "tex-mex", "taco", "enchilada", "burrito", "salsa", "guacamole"],
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"Asian": ["asian", "chinese", "japanese", "thai", "korean", "vietnamese", "stir fry", "stir-fry", "ramen", "sushi"],
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"American": ["american", "southern", "bbq", "barbecue", "comfort food", "cajun", "creole"],
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"Mediterranean": ["mediterranean", "greek", "middle eastern", "turkish", "moroccan", "lebanese"],
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"Indian": ["indian", "curry", "lentil", "dal", "tikka", "masala", "biryani"],
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"European": ["french", "german", "spanish", "british", "irish", "scandinavian"],
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"Latin American": ["latin american", "peruvian", "argentinian", "colombian", "cuban", "caribbean"],
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},
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},
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"meal_type": {
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"label": "Meal Type",
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"categories": {
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"Breakfast": ["breakfast", "brunch", "eggs", "pancakes", "waffles", "oatmeal", "muffin"],
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"Lunch": ["lunch", "sandwich", "wrap", "salad", "soup", "light meal"],
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"Dinner": ["dinner", "main dish", "entree", "main course", "supper"],
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"Snack": ["snack", "appetizer", "finger food", "dip", "bite", "starter"],
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"Dessert": ["dessert", "cake", "cookie", "pie", "sweet", "pudding", "ice cream", "brownie"],
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"Beverage": ["drink", "smoothie", "cocktail", "beverage", "juice", "shake"],
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"Side Dish": ["side dish", "side", "accompaniment", "garnish"],
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},
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},
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"dietary": {
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"label": "Dietary",
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"categories": {
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"Vegetarian": ["vegetarian"],
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"Vegan": ["vegan", "plant-based", "plant based"],
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"Gluten-Free": ["gluten-free", "gluten free", "celiac"],
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"Low-Carb": ["low-carb", "low carb", "keto", "ketogenic"],
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"High-Protein": ["high protein", "high-protein"],
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"Low-Fat": ["low-fat", "low fat", "light"],
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"Dairy-Free": ["dairy-free", "dairy free", "lactose"],
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},
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},
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"main_ingredient": {
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"label": "Main Ingredient",
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"categories": {
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"Chicken": ["chicken", "poultry", "turkey"],
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"Beef": ["beef", "ground beef", "steak", "brisket", "pot roast"],
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"Pork": ["pork", "bacon", "ham", "sausage", "prosciutto"],
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"Fish": ["fish", "salmon", "tuna", "tilapia", "cod", "halibut", "shrimp", "seafood"],
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"Pasta": ["pasta", "noodle", "spaghetti", "penne", "fettuccine", "linguine"],
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"Vegetables": ["vegetable", "veggie", "cauliflower", "broccoli", "zucchini", "eggplant"],
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"Eggs": ["egg", "frittata", "omelette", "omelet", "quiche"],
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"Legumes": ["bean", "lentil", "chickpea", "tofu", "tempeh", "edamame"],
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"Grains": ["rice", "quinoa", "barley", "farro", "oat", "grain"],
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"Cheese": ["cheese", "ricotta", "mozzarella", "parmesan", "cheddar"],
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},
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},
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}
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def get_domain_labels() -> list[dict]:
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"""Return [{id, label}] for all available domains."""
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return [{"id": k, "label": v["label"]} for k, v in DOMAINS.items()]
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def get_keywords_for_category(domain: str, category: str) -> list[str]:
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"""Return the keyword list for a domain/category pair, or [] if not found."""
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domain_data = DOMAINS.get(domain, {})
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categories = domain_data.get("categories", {})
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return categories.get(category, [])
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def get_category_names(domain: str) -> list[str]:
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"""Return category names for a domain, or [] if domain unknown."""
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domain_data = DOMAINS.get(domain, {})
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return list(domain_data.get("categories", {}).keys())
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