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Giancarmine Salucci
330
src/lib/server/tandoor.ts
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330
src/lib/server/tandoor.ts
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import { tandoorConfig } from '$lib/server/tandoor-config';
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import { z } from 'zod';
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/**
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* Tandoor Recipe Export Format
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* Based on the Default/JSON-LD Tandoor export format
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*/
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export const TandoorRecipeSchema = z.object({
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name: z.string(),
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author: z.string().optional().nullable(),
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description: z.string().optional().nullable(),
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servings: z.number().optional().nullable(),
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servings_text: z.string().optional().nullable(),
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keywords: z.array(z.string()).optional(),
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prep_time: z.string().optional(),
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cook_time: z.string().optional(),
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waiting_time: z.string().optional(),
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steps: z.array(
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z.object({
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step: z.number(),
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instruction: z.string(),
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ingredients: z.array(
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z.object({
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food: z.object({
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id: z.number(),
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name: z.string()
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}),
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unit: z.object({
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id: z.number(),
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name: z.string()
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}).nullable(),
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amount: z.number(),
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note: z.string().optional()
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})
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).optional()
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})
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).optional(),
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ingredients: z.array(
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z.object({
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food: z.object({
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name: z.string()
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}),
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unit: z.object({
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name: z.string()
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}).nullable(),
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amount: z.number(),
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note: z.string().optional()
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})
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).optional()
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});
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export type TandoorRecipe = z.infer<typeof TandoorRecipeSchema>;
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interface ExtractedRecipe {
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name: string;
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servings: number | null;
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description: string | null;
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ingredients: Array<{
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item: string;
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amount: string;
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unit: string;
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}> | null;
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steps: string[] | null;
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}
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/**
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* DTO for Tandoor Recipe API (POST /api/recipe/)
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* Matches the Tandoor endpoint schema for recipe creation
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*/
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interface TandoorRecipeDTO {
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name: string;
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description?: string;
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keywords: Array<{
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name: string;
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description?: string;
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}>;
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steps: Array<{
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name?: string;
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instruction: string;
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ingredients: Array<{
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food: {
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name: string;
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};
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unit: {
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name: string;
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} | null;
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amount: string;
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note?: string;
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}>;
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order?: number;
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show_as_header?: boolean;
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}>;
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working_time?: number;
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waiting_time?: number;
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servings?: number;
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servings_text?: string;
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private?: boolean;
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show_ingredient_overview?: boolean;
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}
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/**
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* Helper function to make authenticated API calls
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*/
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async function fetchFromTandoor<T>(
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url: string,
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options: Partial<RequestInit> = { method: 'GET' },
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): Promise<{ ok: boolean; data?: T; error?: string }> {
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const headers = new Headers({
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'Content-Type': 'application/json',
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'Accept': 'application/json',
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Authorization: `Bearer ${tandoorConfig.token}`
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});
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// Merge any additional headers from options
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if (options.headers) {
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const optHeaders = new Headers(options.headers);
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optHeaders.forEach((value, key) => {
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headers.set(key, value);
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});
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}
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console.debug(`Fetching from Tandoor: ${url}`, {
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method: options.method,
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headers: Object.fromEntries(headers),
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body: options.body
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});
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try {
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const response = await fetch(`${tandoorConfig.serverUrl}${url}`, {
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...options,
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headers
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});
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if (!response.ok) {
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const errorBody = await response.json().catch(() => ({}));
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console.error(`API Error ${response.status}: ${response.statusText}`, errorBody);
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return {
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ok: false,
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error: `API Error: ${response.statusText} - ${JSON.stringify(errorBody)}`
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};
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}
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const data = (await response.json()) as T;
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console.debug(`Tandoor response OK:`, data);
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return { ok: true, data };
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} catch (error) {
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const errorMsg = error instanceof Error ? error.message : 'Unknown error';
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console.error(`Fetch error: ${errorMsg}`);
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return {
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ok: false,
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error: `Fetch error: ${errorMsg}`
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};
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}
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}
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/**
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* Partitions ingredients across steps by distributing them evenly
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* When step association is unknown, this spreads ingredients proportionally
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*/
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function partitionIngredientsAcrossSteps(
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ingredients: Array<{
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item: string;
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amount: string;
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unit: string;
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}>,
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stepCount: number
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): Array<Array<{ item: string; amount: string; unit: string }>> {
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if (stepCount === 0 || !ingredients || ingredients.length === 0) {
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return [];
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}
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const partitions: Array<Array<{ item: string; amount: string; unit: string }>> = Array.from(
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{ length: stepCount },
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() => []
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);
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// Distribute ingredients round-robin across steps
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ingredients.forEach((ingredient, index) => {
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partitions[index % stepCount].push(ingredient);
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});
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console.debug(`Partitioned ${ingredients.length} ingredients across ${stepCount} steps:`, partitions);
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return partitions;
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}
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/**
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* Parses amount string to a number, handling special cases
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* Returns null if amount cannot be parsed to a valid number
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*/
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function parseAmount(amountStr: string): number | null {
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if (!amountStr || typeof amountStr !== 'string') {
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return null;
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}
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const trimmed = amountStr.trim().toLowerCase();
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// Skip special cases that can't be converted to numbers
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if (!trimmed || trimmed === 'q.b.' || trimmed === 'qb' || trimmed === 'to taste') {
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return null;
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}
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// Try to extract the first number from the string
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const numberMatch = trimmed.match(/^[\d.,]+/);
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if (!numberMatch) {
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return null;
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}
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const numStr = numberMatch[0].replace(',', '.');
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const parsed = parseFloat(numStr);
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// Return null for zero or invalid numbers
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if (isNaN(parsed) || parsed === 0) {
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return null;
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}
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return parsed;
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}
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/**
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* Builds a complete Tandoor Recipe DTO from extracted recipe data
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* Includes ingredients partitioned across steps
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*/
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function buildTandoorRecipeDTO(recipe: ExtractedRecipe): TandoorRecipeDTO {
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const stepCount = recipe.steps?.length || 1;
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const ingredientPartitions = partitionIngredientsAcrossSteps(
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recipe.ingredients || [],
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stepCount
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);
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const steps: TandoorRecipeDTO['steps'] = (recipe.steps || []).map((instruction, index) => {
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// Map ingredients, converting unparseable amounts to 1 q.b.
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const mappedIngredients = (ingredientPartitions[index] || []).map((ing) => {
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const amount = parseAmount(ing.amount);
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if (amount === null) {
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console.debug(`Converting ingredient with unparseable amount to 1 q.b.: ${ing.item} (${ing.amount})`);
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return {
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food: {
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name: ing.item
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},
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unit: { name: 'q.b.' },
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amount: '1',
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note: ''
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};
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}
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return {
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food: {
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name: ing.item
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},
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unit: ing.unit && ing.unit.trim() ? { name: ing.unit } : null,
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amount: amount.toString(),
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note: ''
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};
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});
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return {
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instruction,
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order: index,
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ingredients: mappedIngredients
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};
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});
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return {
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name: recipe.name,
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description: recipe.description || undefined,
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keywords: [],
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steps,
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servings: recipe.servings || undefined,
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servings_text: recipe.servings ? `${recipe.servings} servings` : undefined,
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private: false,
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show_ingredient_overview: true
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};
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}
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/**
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* Uploads a recipe to Tandoor server using the DTO-based approach
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* Creates recipe with ingredients partitioned across steps in a single request
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*/
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export async function uploadRecipeWithIngredientsDTO(
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recipe: ExtractedRecipe
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): Promise<{ success: boolean; recipeId?: number; error?: string }> {
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try {
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// Validate token
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const token = tandoorConfig.token;
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if (!token) {
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return {
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success: false,
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error: 'TANDOOR_TOKEN environment variable not set'
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};
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}
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// Build the complete DTO
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const recipeDTO = buildTandoorRecipeDTO(recipe);
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console.debug('Uploading recipe with ingredients DTO:', recipeDTO);
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// Call the API with the DTO
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const recipeResult = await fetchFromTandoor<{ id: number }>(
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`/api/recipe/`,
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{
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(recipeDTO)
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}
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);
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if (!recipeResult.ok || !recipeResult.data) {
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console.error('Recipe creation failed:', recipeResult.error);
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return {
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success: false,
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error: `Failed to create recipe: ${recipeResult.error}`
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};
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}
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const createdRecipe = recipeResult.data;
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console.debug('Successfully created recipe with ID:', createdRecipe.id);
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return {
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success: true,
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recipeId: createdRecipe.id
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};
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} catch (error) {
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const errorMsg = error instanceof Error ? error.message : 'Unknown error';
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console.error(`Error uploading recipe to Tandoor: ${errorMsg}`);
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return {
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success: false,
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error: `Error uploading to Tandoor: ${errorMsg}`
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};
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}
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}
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