fix(recipe-generation): BRAND.name-interpolation för creatorDisplayName + rubriker/filnamn
feat(recommendation-engine,api): S4 Smak/Hälsa/Lager-vyer för 'Vad ska vi äta?' - Ersätter hårdkodat 'Cibello' i scale-batch, scale-smoke-test och export-verified. - DB-backfill: 224 recept hade 'Cibello AI' i creator_display_name (värdena motsvarar nuvarande BRAND.name, ingen rad ändrades men kontrollen är gjord). - Lägger till view-query-param (default|taste|health|pantry) med fördefinierade ScoringWeights och samtyckesgrind. - Unit-tester för vyer; integrationstester för vy-param, validering och fallback utan personalization-samtycke. - brand-guard grön; pnpm typecheck 19/19; pnpm test --force x2 grönt (34 tasks, 275 tester).
This commit is contained in:
Sven (AAMOS AI)
@@ -2,13 +2,34 @@ import { createAamosClient } from "@app/ai-contracts";
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import { SEED_INGREDIENTS } from "@app/database/seed";
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import { createDatabase, closeDatabase, schema } from "@app/database";
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import { runPipeline, type PipelineTarget, type PipelineIngredient } from "@app/recipe-generation";
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import type { CanonicalIngredientLookup, SimilarityLookup, RecipeCandidate } from "@app/recipe-generation";
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import type {
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CanonicalIngredientLookup,
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SimilarityLookup,
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RecipeCandidate,
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} from "@app/recipe-generation";
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import { BRAND } from "@app/shared-types";
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import { randomUUID } from "node:crypto";
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const VALID_CUISINES = new Set([
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"swedish", "nordic", "italian", "french", "spanish", "greek", "thai",
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"chinese", "japanese", "korean", "vietnamese", "indian", "mexican",
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"american", "turkish", "lebanese", "moroccan", "middle_eastern", "international",
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"swedish",
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"nordic",
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"italian",
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"french",
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"spanish",
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"greek",
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"thai",
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"chinese",
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"japanese",
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"korean",
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"vietnamese",
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"indian",
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"mexican",
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"american",
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"turkish",
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"lebanese",
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"moroccan",
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"middle_eastern",
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"international",
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]);
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function normalizeCuisine(raw: string | undefined): string {
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@@ -69,7 +90,9 @@ const targets: PipelineTarget[] = [
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];
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function inferDietTags(candidate: RecipeCandidate): string[] {
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const ings = candidate.ingredients.map((i) => ingredientLookup.getById(i.canonicalIngredientId)).filter(Boolean);
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const ings = candidate.ingredients
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.map((i) => ingredientLookup.getById(i.canonicalIngredientId))
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.filter(Boolean);
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const tags: string[] = [];
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const allVegan = ings.every((i) => i?.isVegan);
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const allVegetarian = ings.every((i) => i?.isVegetarian);
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@@ -89,7 +112,9 @@ async function main() {
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const client = createAamosClient(process.env);
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const existing = await db.query.recipes.findMany({ columns: { titleSv: true, slug: true } });
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const knownTitles = new Set(existing.map((r) => r.titleSv.toLowerCase().replace(/[^a-z0-9åäö]/g, " ")));
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const knownTitles = new Set(
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existing.map((r) => r.titleSv.toLowerCase().replace(/[^a-z0-9åäö]/g, " ")),
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);
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const knownSlugs = new Set(existing.map((r) => r.slug));
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const similarityLookup: SimilarityLookup = {
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@@ -99,16 +124,15 @@ async function main() {
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};
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console.error("[scale-smoke-test] starting");
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const result = await runPipeline(
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client,
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targets,
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catalog,
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ingredientLookup,
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similarityLookup,
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{ maxPrepTimeMinutes: 30, maxCookTimeMinutes: 45, portions: 4 },
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);
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const result = await runPipeline(client, targets, catalog, ingredientLookup, similarityLookup, {
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maxPrepTimeMinutes: 30,
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maxCookTimeMinutes: 45,
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portions: 4,
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});
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console.error(`[scale-smoke-test] generated=${result.candidates.length} verified=${result.verifiedCount} unverified=${result.unverifiedCount} rejected=${result.rejectedCount}`);
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console.error(
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`[scale-smoke-test] generated=${result.candidates.length} verified=${result.verifiedCount} unverified=${result.unverifiedCount} rejected=${result.rejectedCount}`,
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);
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let seeded = 0;
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for (let i = 0; i < result.candidates.length; i++) {
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@@ -126,7 +150,16 @@ async function main() {
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if (knownSlugs.has(slug)) slug = `${slug}-${randomUUID().slice(0, 8)}`;
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knownSlugs.add(slug);
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const nutrition = v.nutritionPerPortion ?? { kcal: 0, proteinG: 0, carbsG: 0, fatG: 0, saturatedFatG: 0, fiberG: 0, sugarG: 0, saltG: 0 };
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const nutrition = v.nutritionPerPortion ?? {
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kcal: 0,
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proteinG: 0,
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carbsG: 0,
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fatG: 0,
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saturatedFatG: 0,
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fiberG: 0,
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sugarG: 0,
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saltG: 0,
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};
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await db.insert(schema.recipes).values({
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id: randomUUID(),
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@@ -150,9 +183,29 @@ async function main() {
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freezerFriendly: candidate.freezerFriendly,
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dna: {
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cuisine: normalizeCuisine(candidate.cuisine),
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protein: candidate.ingredients.find((i) => ["chicken_breast", "chicken_thigh", "minced_beef", "minced_mixed", "salmon", "cod", "shrimp", "tofu", "red_lentils"].includes(i.canonicalIngredientId))?.canonicalIngredientId,
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carbohydrate: candidate.ingredients.find((i) => ["rice_white", "pasta_dry", "potato"].includes(i.canonicalIngredientId))?.canonicalIngredientId,
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vegetables: candidate.ingredients.filter((i) => ["tomato", "zucchini", "paprika", "carrot", "spinach", "onion", "garlic"].includes(i.canonicalIngredientId)).map((i) => i.canonicalIngredientId),
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protein: candidate.ingredients.find((i) =>
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[
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"chicken_breast",
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"chicken_thigh",
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"minced_beef",
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"minced_mixed",
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"salmon",
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"cod",
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"shrimp",
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"tofu",
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"red_lentils",
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].includes(i.canonicalIngredientId),
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)?.canonicalIngredientId,
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carbohydrate: candidate.ingredients.find((i) =>
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["rice_white", "pasta_dry", "potato"].includes(i.canonicalIngredientId),
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)?.canonicalIngredientId,
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vegetables: candidate.ingredients
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.filter((i) =>
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["tomato", "zucchini", "paprika", "carrot", "spinach", "onion", "garlic"].includes(
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i.canonicalIngredientId,
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),
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)
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.map((i) => i.canonicalIngredientId),
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flavorProfile: inferDietTags(candidate),
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spiceLevel: candidate.spiceLevel,
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method: "stovetop",
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@@ -164,7 +217,7 @@ async function main() {
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status: "draft",
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verificationStatus: "verified",
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sourceType: "ai_assisted_reviewed",
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creatorDisplayName: "Cibello AI Smoke",
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creatorDisplayName: `${BRAND.name} AI Smoke`,
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});
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seeded++;
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}
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@@ -173,4 +226,7 @@ async function main() {
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await closeDatabase();
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}
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main().catch((err) => { console.error(err); process.exit(1); });
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main().catch((err) => {
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console.error(err);
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process.exit(1);
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});
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