diff --git a/cauldron/data/README.md b/cauldron/data/README.md new file mode 100644 index 0000000..85d297c --- /dev/null +++ b/cauldron/data/README.md @@ -0,0 +1,46 @@ +# cauldron/data — seed data shipped with the app + +## foods_seed_usda.json + +Canonical foods catalog seeded from USDA SR Legacy (2018-04 release). +Each entry has a derived `density_g_per_ml` from USDA's `foodPortions` +data — the quantity-of-grams reported for one cup / tablespoon / etc. + +The aggregator engine (Phase A step 2) uses these density values to +combine "2 cups rice + 1.25 lb rice" into a single shopping-list line. + +### Regenerate + +If USDA ships a new SR Legacy dataset: + +```sh +# 1. Download the new dataset from https://fdc.nal.usda.gov/download-datasets +# Pick the "SR Legacy / Full Download — JSON" link. +# 2. Unzip somewhere local, e.g. /tmp/usda-sr.json +# 3. Re-run the extractor: +python3 scripts/build_foods_seed.py /tmp/usda-sr.json > cauldron/data/foods_seed_usda.json +# 4. Commit the resulting JSON +``` + +### Loading + +`cauldron/foods.py` runs `load_seed_if_empty(db)` on app boot — only loads +when the `cauldron_foods` table is empty. Safe to redeploy without re-loading. +For a manual reload (e.g. after updating the seed without dropping the +table), call `foods.reload_seed(db)` which uses INSERT IGNORE on the +canonical_name unique key. + +### Known issues / iteration + +The USDA SR Legacy descriptions are verbose and brand-laden ("Apples, +sulfured, stewed, with added sugar"). Our normalization is a heuristic — +expect ~15% of entries to have suboptimal canonical names. The Phase A +step 3 plan is to feed the seed through clawdforge → Sonnet to: + +1. Drop entries that aren't useful cooking foods +2. Normalize names (drop ", raw", merge brand variants) +3. Add count-based foods USDA doesn't cover (e.g. "egg", "onion" in count form) +4. Curate down to ~500-800 high-relevance foods + +Until that step lands, expect to manually search the canonical_name field +to find what you want; the aggregator's fuzzy matching covers most of it. diff --git a/cauldron/data/foods_seed_usda.json b/cauldron/data/foods_seed_usda.json new file mode 100644 index 0000000..3a0ac37 --- /dev/null +++ b/cauldron/data/foods_seed_usda.json @@ -0,0 +1,19698 @@ +[ + { + "canonical_name": "'s , classic chicken noodle soup", + "category": "meat", + "density_g_per_ml": 1.027, + "default_unit_class": "volume", + "usda_fdc_id": 174548, + "usda_description": "CAMPBELL'S CHUNKY, Classic Chicken Noodle Soup" + }, + { + "canonical_name": "'s , old fashioned vegetable beef soup", + "category": "meat", + "density_g_per_ml": 1.044, + "default_unit_class": "volume", + "usda_fdc_id": 172912, + "usda_description": "CAMPBELL'S CHUNKY, Old Fashioned Vegetable Beef Soup" + }, + { + "canonical_name": "'s fat free sour cream", + "category": "dairy", + "density_g_per_ml": 1.082, + "default_unit_class": "mass", + "usda_fdc_id": 172211, + "usda_description": "KRAFT BREAKSTONE'S FREE Fat Free Sour Cream" + }, + { + "canonical_name": "'s reduced fat sour cream", + "category": "dairy", + "density_g_per_ml": 1.048, + "default_unit_class": "volume", + "usda_fdc_id": 172210, + "usda_description": "KRAFT BREAKSTONE'S Reduced Fat Sour Cream" + }, + { + "canonical_name": "'s topping", + "category": "other", + "density_g_per_ml": 1.15, + "default_unit_class": "mass", + "usda_fdc_id": 167956, + "usda_description": "Topping, SMUCKER'S MAGIC SHELL" + }, + { + "canonical_name": "'s, , macaroni & cheese, from kid's menu", + "category": "dairy", + "density_g_per_ml": 0.524, + "default_unit_class": "volume", + "usda_fdc_id": 169010, + "usda_description": "APPLEBEE'S, KRAFT, Macaroni & Cheese, from kid's menu" + }, + { + "canonical_name": "'s, chicken noodle soup, condensed", + "category": "meat", + "density_g_per_ml": 1.04, + "default_unit_class": "volume", + "usda_fdc_id": 171556, + "usda_description": "CAMPBELL'S, Chicken Noodle Soup, condensed" + }, + { + "canonical_name": "'s, cream of mushroom soup, condensed", + "category": "produce-vegetable", + "density_g_per_ml": 1.091, + "default_unit_class": "mass", + "usda_fdc_id": 172901, + "usda_description": "CAMPBELL'S, Cream of Mushroom Soup, condensed" + }, + { + "canonical_name": "'s, tomato soup, condensed", + "category": "produce-vegetable", + "density_g_per_ml": 1.048, + "default_unit_class": "volume", + "usda_fdc_id": 174547, + "usda_description": "CAMPBELL'S, Tomato Soup, condensed" + }, + { + "canonical_name": "-a-, chicken flavor, unprepared", + "category": "meat", + "density_g_per_ml": 0.704, + "default_unit_class": "volume", + "usda_fdc_id": 173347, + "usda_description": "RICE-A-RONI, chicken flavor, unprepared" + }, + { + "canonical_name": "abiyuch", + "category": "other", + "density_g_per_ml": 0.964, + "default_unit_class": "volume", + "usda_fdc_id": 167782, + "usda_description": "Abiyuch, raw" + }, + { + "canonical_name": "acerola", + "category": "other", + "density_g_per_ml": 0.414, + "default_unit_class": "volume", + "usda_fdc_id": 171686, + "usda_description": "Acerola, (west indian cherry), raw" + }, + { + "canonical_name": "acerola juice", + "category": "beverage", + "density_g_per_ml": 1.022, + "default_unit_class": "volume", + "usda_fdc_id": 171687, + "usda_description": "Acerola juice, raw" + }, + { + "canonical_name": "acid whey", + "category": "other", + "density_g_per_ml": 0.219, + "default_unit_class": "volume", + "usda_fdc_id": 171281, + "usda_description": "Whey, acid, dried" + }, + { + "canonical_name": "agar seaweed", + "category": "other", + "density_g_per_ml": 0.338, + "default_unit_class": "volume", + "usda_fdc_id": 169280, + "usda_description": "Seaweed, agar, raw" + }, + { + "canonical_name": "all areas grapefruit pink and red", + "category": "produce-fruit", + "density_g_per_ml": 0.972, + "default_unit_class": "volume", + "usda_fdc_id": 174673, + "usda_description": "Grapefruit, raw, pink and red, all areas" + }, + { + "canonical_name": "all areas grapefruit pink and red and white", + "category": "produce-fruit", + "density_g_per_ml": 0.972, + "default_unit_class": "volume", + "usda_fdc_id": 173033, + "usda_description": "Grapefruit, raw, pink and red and white, all areas" + }, + { + "canonical_name": "all areas grapefruit white", + "category": "produce-fruit", + "density_g_per_ml": 0.972, + "default_unit_class": "volume", + "usda_fdc_id": 174676, + "usda_description": "Grapefruit, raw, white, all areas" + }, + { + "canonical_name": "all types peanuts", + "category": "nut-seed", + "density_g_per_ml": 0.617, + "default_unit_class": "volume", + "usda_fdc_id": 172430, + "usda_description": "Peanuts, all types, raw" + }, + { + "canonical_name": "all types with salt peanuts", + "category": "nut-seed", + "density_g_per_ml": 0.514, + "default_unit_class": "volume", + "usda_fdc_id": 174260, + "usda_description": "Peanuts, all types, cooked, boiled, with salt" + }, + { + "canonical_name": "allspice spices", + "category": "other", + "density_g_per_ml": 0.396, + "default_unit_class": "volume", + "usda_fdc_id": 171315, + "usda_description": "Spices, allspice, ground" + }, + { + "canonical_name": "almond oil", + "category": "nut-seed", + "density_g_per_ml": 0.918, + "default_unit_class": "volume", + "usda_fdc_id": 171031, + "usda_description": "Oil, almond" + }, + { + "canonical_name": "almond paste nuts", + "category": "nut-seed", + "density_g_per_ml": 0.959, + "default_unit_class": "volume", + "usda_fdc_id": 170160, + "usda_description": "Nuts, almond paste" + }, + { + "canonical_name": "almonds nuts", + "category": "nut-seed", + "density_g_per_ml": 0.463, + "default_unit_class": "volume", + "usda_fdc_id": 170567, + "usda_description": "Nuts, almonds" + }, + { + "canonical_name": "amaranth leaves", + "category": "other", + "density_g_per_ml": 0.118, + "default_unit_class": "volume", + "usda_fdc_id": 168385, + "usda_description": "Amaranth leaves, raw" + }, + { + "canonical_name": "american type grapes", + "category": "produce-fruit", + "density_g_per_ml": 0.389, + "default_unit_class": "volume", + "usda_fdc_id": 174682, + "usda_description": "Grapes, american type (slip skin), raw" + }, + { + "canonical_name": "anhydrous butter oil", + "category": "oil-fat", + "density_g_per_ml": 0.866, + "default_unit_class": "volume", + "usda_fdc_id": 173412, + "usda_description": "Butter oil, anhydrous" + }, + { + "canonical_name": "anise seed spices", + "category": "nut-seed", + "density_g_per_ml": 0.44, + "default_unit_class": "volume", + "usda_fdc_id": 171316, + "usda_description": "Spices, anise seed" + }, + { + "canonical_name": "apple fruit butters", + "category": "oil-fat", + "density_g_per_ml": 1.171, + "default_unit_class": "mass", + "usda_fdc_id": 168816, + "usda_description": "Fruit butters, apple" + }, + { + "canonical_name": "apple juice, canned or bottled, unsweetened, with added ascorbic acid", + "category": "beverage", + "density_g_per_ml": 1.048, + "default_unit_class": "volume", + "usda_fdc_id": 167771, + "usda_description": "Apple juice, canned or bottled, unsweetened, with added ascorbic acid" + }, + { + "canonical_name": "apple juice, canned or bottled, unsweetened, without added ascorbic acid", + "category": "beverage", + "density_g_per_ml": 1.048, + "default_unit_class": "volume", + "usda_fdc_id": 173933, + "usda_description": "Apple juice, canned or bottled, unsweetened, without added ascorbic acid" + }, + { + "canonical_name": "apples with skin", + "category": "produce-fruit", + "density_g_per_ml": 0.495, + "default_unit_class": "volume", + "usda_fdc_id": 171688, + "usda_description": "Apples, raw, with skin (Includes foods for USDA's Food Distribution Program)" + }, + { + "canonical_name": "apples without skin", + "category": "produce-fruit", + "density_g_per_ml": 0.594, + "default_unit_class": "volume", + "usda_fdc_id": 171689, + "usda_description": "Apples, raw, without skin" + }, + { + "canonical_name": "apples without skin, cooked, microwave", + "category": "produce-fruit", + "density_g_per_ml": 0.719, + "default_unit_class": "volume", + "usda_fdc_id": 173929, + "usda_description": "Apples, raw, without skin, cooked, microwave" + }, + { + "canonical_name": "apples, canned, sweetened, sliced, drained, heated", + "category": "produce-fruit", + "density_g_per_ml": 0.862, + "default_unit_class": "volume", + "usda_fdc_id": 173930, + "usda_description": "Apples, canned, sweetened, sliced, drained, heated" + }, + { + "canonical_name": "apples, frozen, unsweetened, heated", + "category": "produce-fruit", + "density_g_per_ml": 0.871, + "default_unit_class": "volume", + "usda_fdc_id": 173932, + "usda_description": "Apples, frozen, unsweetened, heated (Includes foods for USDA's Food Distribution Program)" + }, + { + "canonical_name": "apples, frozen, unsweetened, unheated", + "category": "produce-fruit", + "density_g_per_ml": 0.731, + "default_unit_class": "volume", + "usda_fdc_id": 171694, + "usda_description": "Apples, frozen, unsweetened, unheated (Includes foods for USDA's Food Distribution Program)" + }, + { + "canonical_name": "applesauce, canned, sweetened, with salt", + "category": "condiment", + "density_g_per_ml": 1.078, + "default_unit_class": "mass", + "usda_fdc_id": 167773, + "usda_description": "Applesauce, canned, sweetened, with salt" + }, + { + "canonical_name": "applesauce, canned, sweetened, without salt", + "category": "condiment", + "density_g_per_ml": 1.04, + "default_unit_class": "volume", + "usda_fdc_id": 171696, + "usda_description": "Applesauce, canned, sweetened, without salt" + }, + { + "canonical_name": "applesauce, canned, unsweetened, with added ascorbic acid", + "category": "condiment", + "density_g_per_ml": 1.031, + "default_unit_class": "volume", + "usda_fdc_id": 167772, + "usda_description": "Applesauce, canned, unsweetened, with added ascorbic acid" + }, + { + "canonical_name": "applesauce, canned, unsweetened, without added ascorbic acid", + "category": "condiment", + "density_g_per_ml": 1.031, + "default_unit_class": "volume", + "usda_fdc_id": 171695, + "usda_description": "Applesauce, canned, unsweetened, without added ascorbic acid (Includes foods for USDA's Food Distribution Program)" + }, + { + "canonical_name": "apricot jams and preserves", + "category": "condiment", + "density_g_per_ml": 1.353, + "default_unit_class": "mass", + "usda_fdc_id": 170645, + "usda_description": "Jams and preserves, apricot" + }, + { + "canonical_name": "apricot kernel oil", + "category": "oil-fat", + "density_g_per_ml": 0.918, + "default_unit_class": "volume", + "usda_fdc_id": 171032, + "usda_description": "Oil, apricot kernel" + }, + { + "canonical_name": "apricot nectar, canned, with added ascorbic acid", + "category": "other", + "density_g_per_ml": 1.076, + "default_unit_class": "mass", + "usda_fdc_id": 171704, + "usda_description": "Apricot nectar, canned, with added ascorbic acid" + }, + { + "canonical_name": "apricots", + "category": "other", + "density_g_per_ml": 0.676, + "default_unit_class": "volume", + "usda_fdc_id": 171697, + "usda_description": "Apricots, raw" + }, + { + "canonical_name": "apricots, canned, extra heavy syrup pack, without skin, solids and liquids", + "category": "condiment", + "density_g_per_ml": 1.04, + "default_unit_class": "volume", + "usda_fdc_id": 171701, + "usda_description": "Apricots, canned, extra heavy syrup pack, without skin, solids and liquids" + }, + { + "canonical_name": "apricots, canned, extra light syrup pack, with skin, solids and liquids", + "category": "condiment", + "density_g_per_ml": 1.044, + "default_unit_class": "volume", + "usda_fdc_id": 173938, + "usda_description": "Apricots, canned, extra light syrup pack, with skin, solids and liquids (Includes foods for USDA's Food Distribution Program)" + }, + { + "canonical_name": "apricots, canned, heavy syrup pack, with skin, solids and liquids", + "category": "condiment", + "density_g_per_ml": 1.052, + "default_unit_class": "mass", + "usda_fdc_id": 171699, + "usda_description": "Apricots, canned, heavy syrup pack, with skin, solids and liquids" + }, + { + "canonical_name": "apricots, canned, heavy syrup pack, without skin, solids and liquids", + "category": "condiment", + "density_g_per_ml": 1.091, + "default_unit_class": "mass", + "usda_fdc_id": 171700, + "usda_description": "Apricots, canned, heavy syrup pack, without skin, solids and liquids" + }, + { + "canonical_name": "apricots, canned, heavy syrup, drained", + "category": "condiment", + "density_g_per_ml": 0.847, + "default_unit_class": "volume", + "usda_fdc_id": 167768, + "usda_description": "Apricots, canned, heavy syrup, drained" + }, + { + "canonical_name": "apricots, canned, juice pack, with skin, solids and liquids", + "category": "beverage", + "density_g_per_ml": 1.031, + "default_unit_class": "volume", + "usda_fdc_id": 173937, + "usda_description": "Apricots, canned, juice pack, with skin, solids and liquids" + }, + { + "canonical_name": "apricots, canned, light syrup pack, with skin, solids and liquids", + "category": "condiment", + "density_g_per_ml": 1.069, + "default_unit_class": "mass", + "usda_fdc_id": 173939, + "usda_description": "Apricots, canned, light syrup pack, with skin, solids and liquids" + }, + { + "canonical_name": "apricots, canned, water pack, with skin, solids and liquids", + "category": "beverage", + "density_g_per_ml": 1.027, + "default_unit_class": "volume", + "usda_fdc_id": 171698, + "usda_description": "Apricots, canned, water pack, with skin, solids and liquids" + }, + { + "canonical_name": "apricots, canned, water pack, without skin, solids and liquids", + "category": "beverage", + "density_g_per_ml": 0.959, + "default_unit_class": "volume", + "usda_fdc_id": 173936, + "usda_description": "Apricots, canned, water pack, without skin, solids and liquids" + }, + { + "canonical_name": "apricots, frozen, sweetened", + "category": "other", + "density_g_per_ml": 1.023, + "default_unit_class": "volume", + "usda_fdc_id": 171703, + "usda_description": "Apricots, frozen, sweetened" + }, + { + "canonical_name": "arrowroot", + "category": "other", + "density_g_per_ml": 0.507, + "default_unit_class": "volume", + "usda_fdc_id": 168490, + "usda_description": "Arrowroot, raw" + }, + { + "canonical_name": "arrowroot flour", + "category": "baking", + "density_g_per_ml": 0.541, + "default_unit_class": "volume", + "usda_fdc_id": 170684, + "usda_description": "Arrowroot flour" + }, + { + "canonical_name": "artichokes, , frozen drained, with salt", + "category": "spice", + "density_g_per_ml": 0.71, + "default_unit_class": "volume", + "usda_fdc_id": 169312, + "usda_description": "Artichokes, (globe or french), frozen, cooked, boiled, drained, with salt" + }, + { + "canonical_name": "artichokes, , frozen drained, without salt", + "category": "spice", + "density_g_per_ml": 0.71, + "default_unit_class": "volume", + "usda_fdc_id": 168388, + "usda_description": "Artichokes, (globe or french), frozen, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "artichokes, drained, with salt", + "category": "spice", + "density_g_per_ml": 0.71, + "default_unit_class": "volume", + "usda_fdc_id": 169311, + "usda_description": "Artichokes, (globe or french), cooked, boiled, drained, with salt" + }, + { + "canonical_name": "artichokes, drained, without salt", + "category": "spice", + "density_g_per_ml": 0.71, + "default_unit_class": "volume", + "usda_fdc_id": 168386, + "usda_description": "Artichokes, (globe or french), cooked, boiled, drained, without salt" + }, + { + "canonical_name": "asparagus", + "category": "other", + "density_g_per_ml": 0.566, + "default_unit_class": "volume", + "usda_fdc_id": 168389, + "usda_description": "Asparagus, raw" + }, + { + "canonical_name": "asparagus drained", + "category": "other", + "density_g_per_ml": 0.761, + "default_unit_class": "volume", + "usda_fdc_id": 168390, + "usda_description": "Asparagus, cooked, boiled, drained" + }, + { + "canonical_name": "asparagus, canned, drained solids", + "category": "other", + "density_g_per_ml": 1.023, + "default_unit_class": "volume", + "usda_fdc_id": 169207, + "usda_description": "Asparagus, canned, drained solids" + }, + { + "canonical_name": "asparagus, canned, no salt added, solids and liquids", + "category": "spice", + "density_g_per_ml": 1.031, + "default_unit_class": "volume", + "usda_fdc_id": 169314, + "usda_description": "Asparagus, canned, no salt added, solids and liquids" + }, + { + "canonical_name": "asparagus, canned, regular pack, solids and liquids", + "category": "other", + "density_g_per_ml": 1.031, + "default_unit_class": "volume", + "usda_fdc_id": 169206, + "usda_description": "Asparagus, canned, regular pack, solids and liquids" + }, + { + "canonical_name": "asparagus, frozen drained, with salt", + "category": "spice", + "density_g_per_ml": 0.761, + "default_unit_class": "volume", + "usda_fdc_id": 168494, + "usda_description": "Asparagus, frozen, cooked, boiled, drained, with salt" + }, + { + "canonical_name": "asparagus, frozen drained, without salt", + "category": "spice", + "density_g_per_ml": 0.761, + "default_unit_class": "volume", + "usda_fdc_id": 169209, + "usda_description": "Asparagus, frozen, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "avocado oil", + "category": "produce-fruit", + "density_g_per_ml": 0.927, + "default_unit_class": "volume", + "usda_fdc_id": 173573, + "usda_description": "Oil, avocado" + }, + { + "canonical_name": "avocados all commercial varieties", + "category": "produce-fruit", + "density_g_per_ml": 0.741, + "default_unit_class": "volume", + "usda_fdc_id": 171705, + "usda_description": "Avocados, raw, all commercial varieties" + }, + { + "canonical_name": "avocados california", + "category": "produce-fruit", + "density_g_per_ml": 0.972, + "default_unit_class": "volume", + "usda_fdc_id": 171706, + "usda_description": "Avocados, raw, California" + }, + { + "canonical_name": "avocados florida", + "category": "produce-fruit", + "density_g_per_ml": 0.972, + "default_unit_class": "volume", + "usda_fdc_id": 171707, + "usda_description": "Avocados, raw, Florida" + }, + { + "canonical_name": "babassu oil", + "category": "oil-fat", + "density_g_per_ml": 0.918, + "default_unit_class": "volume", + "usda_fdc_id": 171428, + "usda_description": "Oil, babassu" + }, + { + "canonical_name": "bacon and tomato salad dressing", + "category": "condiment", + "density_g_per_ml": 1.014, + "default_unit_class": "volume", + "usda_fdc_id": 167704, + "usda_description": "Salad dressing, bacon and tomato" + }, + { + "canonical_name": "bacon grease animal fat", + "category": "meat", + "density_g_per_ml": 0.872, + "default_unit_class": "volume", + "usda_fdc_id": 172345, + "usda_description": "Animal fat, bacon grease" + }, 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"usda_fdc_id": 168430, + "usda_description": "Lotus root, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt mustard greens drained", + "category": "condiment", + "density_g_per_ml": 0.592, + "default_unit_class": "volume", + "usda_fdc_id": 169257, + "usda_description": "Mustard greens, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt new zealand spinach drained", + "category": "produce-vegetable", + "density_g_per_ml": 0.761, + "default_unit_class": "volume", + "usda_fdc_id": 168441, + "usda_description": "New Zealand spinach, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt okra drained", + "category": "spice", + "density_g_per_ml": 0.676, + "default_unit_class": "volume", + "usda_fdc_id": 169261, + "usda_description": "Okra, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt onions drained", + "category": "produce-vegetable", + "density_g_per_ml": 0.951, + "default_unit_class": "volume", + "usda_fdc_id": 170001, + "usda_description": "Onions, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt parsnips drained", + "category": "spice", + "density_g_per_ml": 0.659, + "default_unit_class": "volume", + "usda_fdc_id": 170009, + "usda_description": "Parsnips, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt pumpkin drained", + "category": "produce-vegetable", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 168449, + "usda_description": "Pumpkin, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt pumpkin flowers drained", + "category": "produce-vegetable", + "density_g_per_ml": 0.566, + "default_unit_class": "volume", + "usda_fdc_id": 169271, + "usda_description": "Pumpkin flowers, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt pumpkin leaves drained", + "category": "produce-vegetable", + "density_g_per_ml": 0.3, + "default_unit_class": "volume", + "usda_fdc_id": 168447, + "usda_description": "Pumpkin leaves, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt purslane drained", + "category": "spice", + "density_g_per_ml": 0.486, + "default_unit_class": "volume", + "usda_fdc_id": 169275, + "usda_description": "Purslane, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt rutabagas drained", + "category": "spice", + "density_g_per_ml": 0.866, + "default_unit_class": "volume", + "usda_fdc_id": 168455, + "usda_description": "Rutabagas, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt salsify drained", + "category": "spice", + "density_g_per_ml": 0.571, + "default_unit_class": "volume", + "usda_fdc_id": 169278, + "usda_description": "Salsify, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt spinach drained", + "category": "produce-vegetable", + "density_g_per_ml": 0.761, + "default_unit_class": "volume", + "usda_fdc_id": 168463, + "usda_description": "Spinach, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt turnip greens drained", + "category": "spice", + "density_g_per_ml": 0.609, + "default_unit_class": "volume", + "usda_fdc_id": 170466, + "usda_description": "Turnip greens, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt turnips drained", + "category": "spice", + "density_g_per_ml": 0.816, + "default_unit_class": "volume", + "usda_fdc_id": 170058, + "usda_description": "Turnips, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt water convolvulus drained", + "category": "beverage", + "density_g_per_ml": 0.414, + "default_unit_class": "volume", + "usda_fdc_id": 169302, + "usda_description": "Water convolvulus, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "without salt yardlong bean drained", + "category": "spice", + "density_g_per_ml": 0.44, + "default_unit_class": "volume", + "usda_fdc_id": 169223, + "usda_description": "Yardlong bean, cooked, boiled, drained, without salt" + }, + { + "canonical_name": "witloof chicory", + "category": "other", + "density_g_per_ml": 0.38, + "default_unit_class": "volume", + "usda_fdc_id": 170404, + "usda_description": "Chicory, witloof, raw" + }, + { + "canonical_name": "yam", + "category": "other", + "density_g_per_ml": 0.634, + "default_unit_class": "volume", + "usda_fdc_id": 170071, + "usda_description": "Yam, raw" + }, + { + "canonical_name": "yam drained, or baked, with salt", + "category": "spice", + "density_g_per_ml": 0.575, + "default_unit_class": "volume", + "usda_fdc_id": 170551, + "usda_description": "Yam, cooked, boiled, drained, or baked, with salt" + }, + { + "canonical_name": "yam drained, or baked, without salt", + "category": "spice", + "density_g_per_ml": 0.575, + "default_unit_class": "volume", + "usda_fdc_id": 170072, + "usda_description": "Yam, cooked, boiled, drained, or baked, without salt" + }, + { + "canonical_name": "yambean", + "category": "other", + "density_g_per_ml": 0.528, + "default_unit_class": "volume", + "usda_fdc_id": 170073, + "usda_description": "Yambean (jicama), raw" + }, + { + "canonical_name": "yardlong bean", + "category": "other", + "density_g_per_ml": 0.385, + "default_unit_class": "volume", + "usda_fdc_id": 169222, + "usda_description": "Yardlong bean, raw" + }, + { + "canonical_name": "yautia", + "category": "other", + "density_g_per_ml": 0.571, + "default_unit_class": "volume", + "usda_fdc_id": 169401, + "usda_description": "Yautia (tannier), raw" + }, + { + "canonical_name": "yeast extract spread", + "category": "baking", + "density_g_per_ml": 1.217, + "default_unit_class": "mass", + "usda_fdc_id": 167717, + "usda_description": "Yeast extract spread" + }, + { + "canonical_name": "yellow corn grain", + "category": "other", + "density_g_per_ml": 0.702, + "default_unit_class": "volume", + "usda_fdc_id": 170288, + "usda_description": "Corn grain, yellow" + }, + { + "canonical_name": "yellow passion-fruit juice", + "category": "beverage", + "density_g_per_ml": 1.044, + "default_unit_class": "volume", + "usda_fdc_id": 169110, + "usda_description": "Passion-fruit juice, yellow, raw" + }, + { + "canonical_name": "yellow peaches", + "category": "produce-fruit", + "density_g_per_ml": 0.651, + "default_unit_class": "volume", + "usda_fdc_id": 169928, + "usda_description": "Peaches, yellow, raw" + }, + { + "canonical_name": "yellow plantains", + "category": "other", + "density_g_per_ml": 0.626, + "default_unit_class": "volume", + "usda_fdc_id": 169130, + "usda_description": "Plantains, yellow, raw" + }, + { + "canonical_name": "yellow tomatoes", + "category": "produce-vegetable", + "density_g_per_ml": 0.588, + "default_unit_class": "volume", + "usda_fdc_id": 170096, + "usda_description": "Tomatoes, yellow, raw" + }, + { + "canonical_name": "yogurt, frozen, flavors not chocolate, nonfat milk, with low-calorie sweetener", + "category": "baking", + "density_g_per_ml": 0.575, + "default_unit_class": "volume", + "usda_fdc_id": 173464, + "usda_description": "Yogurt, frozen, flavors not chocolate, nonfat milk, with low-calorie sweetener" + }, + { + "canonical_name": "yogurt, fruit variety, nonfat", + "category": "dairy", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 169898, + "usda_description": "Yogurt, fruit variety, nonfat" + }, + { + "canonical_name": "yogurt, fruit, low fat, 10 grams protein per 8 ounce", + "category": "dairy", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 171285, + "usda_description": "Yogurt, fruit, low fat, 10 grams protein per 8 ounce" + }, + { + "canonical_name": "yogurt, fruit, low fat,9 g protein/8 oz", + "category": "dairy", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 170889, + "usda_description": "Yogurt, fruit, low fat,9 g protein/8 oz" + }, + { + "canonical_name": "yogurt, fruit, lowfat, with low calorie sweetener", + "category": "dairy", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 173451, + "usda_description": "Yogurt, fruit, lowfat, with low calorie sweetener" + }, + { + "canonical_name": "yogurt, greek, strawberry, lowfat", + "category": "produce-fruit", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 171300, + "usda_description": "Yogurt, Greek, strawberry, lowfat" + }, + { + "canonical_name": "yogurt, plain, low fat", + "category": "dairy", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 170886, + "usda_description": "Yogurt, plain, low fat" + }, + { + "canonical_name": "yogurt, plain, skim milk", + "category": "dairy", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 170887, + "usda_description": "Yogurt, plain, skim milk" + }, + { + "canonical_name": "yogurt, plain, whole milk", + "category": "dairy", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 171284, + "usda_description": "Yogurt, plain, whole milk" + }, + { + "canonical_name": "yogurt, vanilla, low fat.", + "category": "baking", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 170888, + "usda_description": "Yogurt, vanilla, low fat." + }, + { + "canonical_name": "yogurt, vanilla, non-fat", + "category": "baking", + "density_g_per_ml": 1.036, + "default_unit_class": "volume", + "usda_fdc_id": 170906, + "usda_description": "Yogurt, vanilla, non-fat" + }, + { + "canonical_name": "yolk egg", + "category": "dairy", + "density_g_per_ml": 0.277, + "default_unit_class": "volume", + "usda_fdc_id": 173428, + "usda_description": "Egg, yolk, dried" + }, + { + "canonical_name": "yolk fresh egg", + "category": "dairy", + "density_g_per_ml": 1.027, + "default_unit_class": "volume", + "usda_fdc_id": 172184, + "usda_description": "Egg, yolk, raw, fresh" + }, + { + "canonical_name": "young pods with seeds cowpeas", + "category": "nut-seed", + "density_g_per_ml": 0.397, + "default_unit_class": "volume", + "usda_fdc_id": 168405, + "usda_description": "Cowpeas, young pods with seeds, raw" + }, + { + "canonical_name": "zante currants", + "category": "other", + "density_g_per_ml": 0.609, + "default_unit_class": "volume", + "usda_fdc_id": 171724, + "usda_description": "Currants, zante, dried" + } +] \ No newline at end of file diff --git a/cauldron/db.py b/cauldron/db.py index f76ba9d..9242461 100644 --- a/cauldron/db.py +++ b/cauldron/db.py @@ -146,6 +146,46 @@ MIGRATIONS = [ FOREIGN KEY (household_id) REFERENCES cauldron_households(id) ON DELETE CASCADE ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 """, + # 010 — canonical foods table for the unit-aware aggregator. Each row is + # ONE food (e.g. "rice", "butter", "onion") with density + unit class. + # Seeded from USDA SR Legacy via scripts/build_foods_seed.py; will be + # extended with claude-curated entries in v0.3 step 2. + """ + CREATE TABLE IF NOT EXISTS cauldron_foods ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + canonical_name VARCHAR(255) NOT NULL, + plural_name VARCHAR(255), + category VARCHAR(64), + density_g_per_ml DECIMAL(6,3), + common_size_g DECIMAL(8,2), + default_unit_class ENUM('mass','volume','count','mixed') NOT NULL DEFAULT 'mass', + usda_fdc_id INT, + usda_description VARCHAR(500), + notes JSON, + source ENUM('usda','claude','manual') NOT NULL DEFAULT 'usda', + last_updated DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + UNIQUE KEY uk_canonical (canonical_name), + INDEX idx_category (category), + INDEX idx_usda (usda_fdc_id) + ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 + """, + # 011 — Mealie food_id → cauldron food_id mapping per household. The + # foods dedupe step (v0.3 A2) populates this. Aggregator joins through + # this to group ingredients across recipes by canonical food. + """ + CREATE TABLE IF NOT EXISTS cauldron_food_mapping ( + household_id BIGINT NOT NULL, + mealie_food_id VARCHAR(64) NOT NULL, + cauldron_food_id BIGINT NOT NULL, + confidence DECIMAL(4,2) NOT NULL DEFAULT 1.00, + mapped_by ENUM('exact','fuzzy','claude','manual') NOT NULL DEFAULT 'fuzzy', + mapped_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (household_id, mealie_food_id), + INDEX idx_canonical (cauldron_food_id), + FOREIGN KEY (household_id) REFERENCES cauldron_households(id) ON DELETE CASCADE, + FOREIGN KEY (cauldron_food_id) REFERENCES cauldron_foods(id) ON DELETE CASCADE + ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 + """, ] diff --git a/cauldron/foods.py b/cauldron/foods.py new file mode 100644 index 0000000..f62322d --- /dev/null +++ b/cauldron/foods.py @@ -0,0 +1,99 @@ +"""Foods catalog — canonical food rows + the seed loader. + +Phase A step 1 (v0.3): seed cauldron_foods from USDA SR Legacy via the +JSON file at cauldron/data/foods_seed_usda.json. Idempotent — running +multiple times is fine, INSERT IGNORE on the unique canonical_name key. + +Phase A step 2 (next commit): aggregator engine reads these rows + the +per-household cauldron_food_mapping to group recipe ingredients. + +Phase A step 3 (later): claude-curated cleanup of the USDA seed (better +names, missing common foods, count-based foods like 'egg' / 'onion'). +""" +import json +from pathlib import Path + + +SEED_PATH = Path(__file__).parent / "data" / "foods_seed_usda.json" + + +def seed_count(db) -> int: + with db.conn() as c, c.cursor() as cur: + cur.execute("SELECT COUNT(*) AS n FROM cauldron_foods") + return cur.fetchone()["n"] + + +def load_seed_if_empty(db) -> int: + """If cauldron_foods is empty, load the USDA seed JSON. Returns rows + inserted (0 if already populated). Called by app startup after migrate.""" + if not SEED_PATH.exists(): + return 0 + if seed_count(db) > 0: + return 0 + return _load_seed_file(db, SEED_PATH) + + +def reload_seed(db) -> int: + """Force-reload the seed file (used by /api/foods/reload-seed). Won't + overwrite existing rows — INSERT IGNORE on canonical_name. Returns + rows inserted on this run.""" + if not SEED_PATH.exists(): + return 0 + return _load_seed_file(db, SEED_PATH) + + +def _load_seed_file(db, path: Path) -> int: + with path.open() as f: + data = json.load(f) + inserted = 0 + with db.conn() as c, c.cursor() as cur: + for entry in data: + try: + cur.execute( + """ + INSERT IGNORE INTO cauldron_foods + (canonical_name, category, density_g_per_ml, + default_unit_class, usda_fdc_id, usda_description, source) + VALUES (%s, %s, %s, %s, %s, %s, 'usda') + """, + ( + entry["canonical_name"][:255], + entry.get("category"), + entry.get("density_g_per_ml"), + entry.get("default_unit_class") or "mass", + entry.get("usda_fdc_id"), + (entry.get("usda_description") or "")[:500], + ), + ) + inserted += cur.rowcount + except Exception: + # Skip malformed rows — seed cleanup is iterative + continue + return inserted + + +def search_food(db, name: str, *, limit: int = 5) -> list[dict]: + """Best-effort canonical food lookup by name (used by aggregator + UI).""" + with db.conn() as c, c.cursor() as cur: + cur.execute( + """ + SELECT id, canonical_name, category, density_g_per_ml, + default_unit_class, common_size_g + FROM cauldron_foods + WHERE canonical_name LIKE %s OR canonical_name LIKE %s + ORDER BY + (CASE WHEN canonical_name = %s THEN 0 + WHEN canonical_name LIKE %s THEN 1 + ELSE 2 END), + CHAR_LENGTH(canonical_name) + LIMIT %s + """, + (f"{name}%", f"%{name}%", name, f"{name}%", limit), + ) + return [dict(r) for r in cur.fetchall()] + + +def get_food(db, food_id: int) -> dict | None: + with db.conn() as c, c.cursor() as cur: + cur.execute("SELECT * FROM cauldron_foods WHERE id=%s", (food_id,)) + return cur.fetchone() diff --git a/cauldron/server.py b/cauldron/server.py index 39761f8..7b75536 100644 --- a/cauldron/server.py +++ b/cauldron/server.py @@ -30,6 +30,7 @@ from .config import load from .crypto import TokenCrypto from .db import DB from .forge import Forge +from . import foods from .mealie import Mealie, MealieError from .oidc import init_oauth from .recipe_index import flatten_recipe, refresh_household_index, search_index @@ -65,6 +66,14 @@ def create_app() -> Flask: if applied: app.logger.info("applied migrations: %s", applied) + # Seed cauldron_foods from the USDA snapshot if empty + try: + loaded = foods.load_seed_if_empty(db) + if loaded: + app.logger.info("loaded %d foods from USDA seed", loaded) + except Exception as e: + app.logger.warning("foods seed load failed: %s", e) + oauth = init_oauth( app, issuer=cfg.oidc_issuer, diff --git a/scripts/build_foods_seed.py b/scripts/build_foods_seed.py new file mode 100644 index 0000000..706780c --- /dev/null +++ b/scripts/build_foods_seed.py @@ -0,0 +1,331 @@ +#!/usr/bin/env python3 +"""Build cauldron's foods_seed.json from USDA SR Legacy. + +Usage: + python scripts/build_foods_seed.py > cauldron/data/foods_seed.json + +Steps: + 1. Load SR Legacy JSON dump + 2. For each food, extract foodPortions and derive density g/ml from + volume measurements (cup/tbsp/tsp/fl oz/ml/etc) + 3. Average densities across multiple portions of the same food + 4. Filter out non-cooking junk (branded items, weird stuff) + 5. Normalize description into a canonical_name (strip ", raw" suffixes, + parenthetical brand names, etc.) + 6. Categorize using simple keyword heuristics + 7. Emit JSON ready for the cauldron_foods loader +""" +import json +import re +import sys +from collections import defaultdict + + +VOL_TO_ML = { + 'cup': 236.588, + 'tablespoon': 14.787, 'tbsp': 14.787, + 'teaspoon': 4.929, 'tsp': 4.929, + 'fl oz': 29.574, 'fluid ounce': 29.574, 'fluid ounces': 29.574, + 'ml': 1.0, 'milliliter': 1.0, + 'liter': 1000.0, 'l': 1000.0, + 'pint': 473.176, 'quart': 946.353, 'gallon': 3785.41, +} + +# Description starts-with prefixes we drop entirely +DROP_PREFIXES = ( + "babyfood", + "infant formula", + "alcoholic beverage", + "snacks,", + "fast food", + "restaurant", + "school lunch", + "puddings,", + "frostings,", + "candies,", + "leavening agents,", # these are baking but USDA names are weird +) + +# Substrings anywhere → drop +DROP_KEYWORDS = [ + "fast food", "restaurant", "school lunch", + "MCDONALDS", "BURGER KING", "KFC", "PIZZA HUT", "STARBUCKS", + "SUBWAY", "TACO BELL", "WENDY'S", "DOMINOS", "PAPA JOHN", + "CHICK-FIL-A", "POPEYES", "CHIPOTLE", "DENNY'S", + "supplement", "weight control", "ready-to-drink", "ready to drink", + "ready-to-eat", "muscle milk", "ENSURE", "BOOST", + "nutrition bar", "meal replacement", "fortified", + "sulfured", "dry mix", "frozen meal", "frozen dinner", + "baby formula", "GERBER", "PILLSBURY", "KELLOGG", + "QUAKER", "GENERAL MILLS", "POST", "BETTY CROCKER", + "instant", "junior", "strained", "toddler", + "(yield from", "from raw", +] + +# Brand-like ALL-CAPS tokens to strip from description +BRAND_PATTERN = re.compile(r'\b[A-Z]{3,}(\s+[A-Z]{3,}|\s+[A-Z]{2,})*\b') + +CATEGORY_MAP = [ + # (keyword in description.lower(), cauldron category) + ("oil", "oil-fat"), + ("butter", "oil-fat"), + ("lard", "oil-fat"), + ("shortening", "oil-fat"), + ("flour", "baking"), + ("sugar", "baking"), + ("yeast", "baking"), + ("baking powder", "baking"), + ("baking soda", "baking"), + ("vanilla", "baking"), + ("cocoa", "baking"), + ("chocolate", "baking"), + ("salt", "spice"), + ("pepper", "spice"), + ("cinnamon", "spice"), + ("paprika", "spice"), + ("oregano", "spice"), + ("basil", "spice"), + ("thyme", "spice"), + ("rosemary", "spice"), + ("garlic powder", "spice"), + ("onion powder", "spice"), + ("cumin", "spice"), + ("turmeric", "spice"), + ("ginger", "spice"), + ("milk", "dairy"), + ("cream", "dairy"), + ("yogurt", "dairy"), + ("cheese", "dairy"), + ("rice", "grain"), + ("pasta", "grain"), + ("noodle", "grain"), + ("bread", "grain"), + ("oats", "grain"), + ("oatmeal", "grain"), + ("quinoa", "grain"), + ("barley", "grain"), + ("couscous", "grain"), + ("beans", "legume"), + ("lentil", "legume"), + ("chickpea", "legume"), + ("garbanzo", "legume"), + ("tofu", "legume"), + ("tempeh", "legume"), + ("almond", "nut-seed"), + ("walnut", "nut-seed"), + ("pecan", "nut-seed"), + ("cashew", "nut-seed"), + ("peanut", "nut-seed"), + ("pistachio", "nut-seed"), + ("hazelnut", "nut-seed"), + ("seed", "nut-seed"), + ("nut", "nut-seed"), + ("beef", "meat"), + ("pork", "meat"), + ("chicken", "meat"), + ("turkey", "meat"), + ("lamb", "meat"), + ("ham", "meat"), + ("bacon", "meat"), + ("sausage", "meat"), + ("fish", "meat"), + ("salmon", "meat"), + ("tuna", "meat"), + ("shrimp", "meat"), + ("egg", "dairy"), # close enough + ("juice", "beverage"), + ("water", "beverage"), + ("tea", "beverage"), + ("coffee", "beverage"), + ("beer", "beverage"), + ("wine", "beverage"), + ("alcoholic", "beverage"), + ("soda", "beverage"), + ("vinegar", "condiment"), + ("sauce", "condiment"), + ("ketchup", "condiment"), + ("mustard", "condiment"), + ("mayonnaise", "condiment"), + ("soy sauce", "condiment"), + ("dressing", "condiment"), + ("syrup", "condiment"), + ("honey", "condiment"), + ("jam", "condiment"), + ("jelly", "condiment"), + ("apple", "produce-fruit"), + ("banana", "produce-fruit"), + ("orange", "produce-fruit"), + ("strawberry", "produce-fruit"), + ("blueberry", "produce-fruit"), + ("raspberry", "produce-fruit"), + ("grape", "produce-fruit"), + ("lemon", "produce-fruit"), + ("lime", "produce-fruit"), + ("pineapple", "produce-fruit"), + ("mango", "produce-fruit"), + ("watermelon", "produce-fruit"), + ("cherry", "produce-fruit"), + ("peach", "produce-fruit"), + ("pear", "produce-fruit"), + ("avocado", "produce-fruit"), + ("tomato", "produce-vegetable"), # we know + ("onion", "produce-vegetable"), + ("garlic", "produce-vegetable"), + ("carrot", "produce-vegetable"), + ("potato", "produce-vegetable"), + ("spinach", "produce-vegetable"), + ("lettuce", "produce-vegetable"), + ("kale", "produce-vegetable"), + ("broccoli", "produce-vegetable"), + ("cauliflower", "produce-vegetable"), + ("celery", "produce-vegetable"), + ("cucumber", "produce-vegetable"), + ("zucchini", "produce-vegetable"), + ("pepper, sweet", "produce-vegetable"), + ("pepper, bell", "produce-vegetable"), + ("mushroom", "produce-vegetable"), + ("squash", "produce-vegetable"), + ("pumpkin", "produce-vegetable"), + ("cabbage", "produce-vegetable"), +] + + +def categorize(name: str) -> str: + """Match against the longest keyword first so 'soy sauce' beats 'sauce' + and 'pepper, black' beats 'pepper'. Score by keyword length.""" + n = name.lower() + best = (None, 0) + for kw, cat in CATEGORY_MAP: + if kw in n and len(kw) > best[1]: + best = (cat, len(kw)) + return best[0] or "other" + + +def normalize_name(desc: str) -> str: + """Pull a canonical name out of the verbose USDA description.""" + s = desc + # Strip everything after the first comma in many cases ("Salt, table" -> "Salt") + # but keep useful descriptors ("Pepper, black, ground" -> "black pepper" via reorder) + # First: drop preparation suffixes that don't matter for shopping + s = re.sub(r',\s*(raw|cooked, boiled|cooked, drained|prepared|whole|ground|fresh|dried|granulated|all)(\s*,|$)', '', s, flags=re.I) + # Drop branded all-caps tokens + s = BRAND_PATTERN.sub('', s) + # Drop parentheticals + s = re.sub(r'\([^)]*\)', '', s) + # Tidy whitespace + s = re.sub(r'\s+', ' ', s).strip(', ').strip() + # Reorder "X, Y" → "Y X" for spices/seasonings ("Pepper, black" → "black pepper") + if ',' in s and not any(s.lower().startswith(p) for p in ('alcoholic', 'beverage', 'soup', 'sauce')): + parts = [p.strip() for p in s.split(',') if p.strip()] + if len(parts) == 2 and len(parts[1]) <= 25: + s = f"{parts[1]} {parts[0]}" + return s.lower().strip() + + +_MODIFIER_VOL = re.compile( + r'^(?:[\d./\s]*\s*)?(cup|tablespoon|tbsp|teaspoon|tsp|fl oz|fluid ounce|fluid ounces|ml|milliliter|liter|pint|quart|gallon)\b', + re.I, +) +_MODIFIER_NORMALIZE = { + 'tbsp': 'tablespoon', + 'tsp': 'teaspoon', + 'fluid ounce': 'fl oz', + 'fluid ounces': 'fl oz', + 'milliliter': 'ml', + 'liter': 'liter', +} + + +def _modifier_to_unit(modifier: str) -> str | None: + """Pull a known volume unit out of a USDA modifier string. Handles + 'cup', 'cup (8 fl oz)', 'cup, chopped', 'tablespoon', etc.""" + m = _MODIFIER_VOL.match((modifier or '').strip().lower()) + if not m: + return None + raw = m.group(1).lower() + return _MODIFIER_NORMALIZE.get(raw, raw) + + +def derive_densities(food: dict) -> list[float]: + """Return list of derived g/ml density values from this food's portions. + + SR Legacy puts the actual unit in `modifier` (not measureUnit.name, + which is almost always 'undetermined'). We parse the modifier with a + regex tolerant of garnish phrases ('cup, chopped', 'cup (8 fl oz)').""" + out = [] + for p in (food.get('foodPortions') or []): + gw = p.get('gramWeight') + if not gw or gw <= 0: + continue + amount = p.get('amount') or 1 + unit_name = ((p.get('measureUnit') or {}).get('name') or '').lower().strip() + modifier = p.get('modifier') or '' + unit = unit_name if unit_name in VOL_TO_ML else _modifier_to_unit(modifier) + if unit not in VOL_TO_ML: + continue + ml = VOL_TO_ML[unit] * amount + if ml > 0: + density = gw / ml + if 0.1 < density < 3.0: + out.append(density) + return out + + +def main(): + src = sys.argv[1] + with open(src) as f: + data = json.load(f) + foods = data.get('SRLegacyFoods') or data.get('FoundationFoods') or [] + + out = [] + seen_canonical = {} + for f in foods: + desc = f.get('description') or '' + if not desc: + continue + # Drop junk by prefix + d_low = desc.lower() + if any(d_low.startswith(p) for p in DROP_PREFIXES): + continue + # Drop junk by substring + if any(kw.lower() in d_low for kw in DROP_KEYWORDS): + continue + densities = derive_densities(f) + if not densities: + continue + avg = round(sum(densities) / len(densities), 3) + + canonical = normalize_name(desc) + if not canonical or len(canonical) > 80: + continue + # If we've already seen this canonical name with a similar density, skip + if canonical in seen_canonical: + existing = seen_canonical[canonical] + existing['density_samples'].append(avg) + existing['density_g_per_ml'] = round( + sum(existing['density_samples']) / len(existing['density_samples']), 3 + ) + continue + seen_canonical[canonical] = { + 'canonical_name': canonical, + 'category': categorize(canonical), + 'density_g_per_ml': avg, + 'default_unit_class': 'volume' if avg < 1.05 else 'mass', + 'usda_fdc_id': f.get('fdcId'), + 'usda_description': desc, + 'density_samples': [avg], + } + + # Drop the working sample list before serializing + final = [] + for v in seen_canonical.values(): + v.pop('density_samples', None) + final.append(v) + + final.sort(key=lambda x: x['canonical_name']) + json.dump(final, sys.stdout, indent=2, ensure_ascii=False) + print(f'\n# {len(final)} foods', file=sys.stderr) + + +if __name__ == '__main__': + main()