insta-recipe/src/lib/server/tandoor.ts

import { tandoorConfig } from '$lib/server/tandoor-config';
import { z } from 'zod';
/**
 * Tandoor Recipe Export Format
 * Based on the Default/JSON-LD Tandoor export format
 */
export const TandoorRecipeSchema = z.object({
	name: z.string(),
	author: z.string().optional().nullable(),
	description: z.string().optional().nullable(),
	servings: z.number().optional().nullable(),
	servings_text: z.string().optional().nullable(),
	keywords: z.array(z.string()).optional(),
	prep_time: z.string().optional(),
	cook_time: z.string().optional(),
	waiting_time: z.string().optional(),
	steps: z.array(
		z.object({
			step: z.number(),
			instruction: z.string(),
			ingredients: z.array(
				z.object({
					food: z.object({
						id: z.number(),
						name: z.string()
					}),
					unit: z.object({
						id: z.number(),
						name: z.string()
					}).nullable(),
					amount: z.number(),
					note: z.string().optional()
				})
			).optional()
		})
	).optional(),
	ingredients: z.array(
		z.object({
			food: z.object({
				name: z.string()
			}),
			unit: z.object({
				name: z.string()
			}).nullable(),
			amount: z.number(),
			note: z.string().optional()
		})
	).optional()
});

export type TandoorRecipe = z.infer<typeof TandoorRecipeSchema>;

interface ExtractedRecipe {
	name: string;
	servings: number | null;
	description: string | null;
	ingredients: Array<{
		item: string;
		amount: string;
		unit: string;
	}> | null;
	steps: string[] | null;
	image?: string | null;
}

/**
 * DTO for Tandoor Recipe API (POST /api/recipe/)
 * Matches the Tandoor endpoint schema for recipe creation
 */
interface TandoorRecipeDTO {
	name: string;
	description?: string;
	keywords: Array<{
		name: string;
		description?: string;
	}>;
	steps: Array<{
		name?: string;
		instruction: string;
		ingredients: Array<{
			food: {
				name: string;
			};
			unit: {
				name: string;
			} | null;
			amount: string;
			note?: string;
		}>;
		order?: number;
		show_as_header?: boolean;
	}>;
	working_time?: number;
	waiting_time?: number;
	servings?: number;
	servings_text?: string;
	private?: boolean;
	show_ingredient_overview?: boolean;
}

/**
 * Helper function to make authenticated API calls
 */
async function fetchFromTandoor<T>(
	url: string,
    options: Partial<RequestInit> = { method: 'GET' },
): Promise<{ ok: boolean; data?: T; error?: string }> {
	const headers = new Headers({
		'Content-Type': 'application/json',
		'Accept': 'application/json',
		Authorization: `Token ${tandoorConfig.token}`
	});

	// Merge any additional headers from options
	if (options.headers) {
		const optHeaders = new Headers(options.headers);
		optHeaders.forEach((value, key) => {
			headers.set(key, value);
		});
	}

    console.debug(`Fetching from Tandoor: ${url}`, {
		method: options.method,
		headers: Object.fromEntries(headers),
        body: options.body
	});
	try {
		const response = await fetch(`${tandoorConfig.serverUrl}${url}`, {
			...options,
			headers
		});

		if (!response.ok) {
			const errorBody = await response.json().catch(() => ({}));
			console.error(`API Error ${response.status}: ${response.statusText}`, errorBody);
			return {
				ok: false,
				error: `API Error: ${response.statusText} - ${JSON.stringify(errorBody)}`
			};
		}

		const data = (await response.json()) as T;
		console.debug(`Tandoor response OK:`, data);
		return { ok: true, data };
	} catch (error) {
		const errorMsg = error instanceof Error ? error.message : 'Unknown error';
		console.error(`Fetch error: ${errorMsg}`);
		return {
			ok: false,
			error: `Fetch error: ${errorMsg}`
		};
	}
}



/**
 * Partitions ingredients across steps by distributing them evenly
 * When step association is unknown, this spreads ingredients proportionally
 */
function partitionIngredientsAcrossSteps(
	ingredients: Array<{
		item: string;
		amount: string;
		unit: string;
	}>,
	stepCount: number
): Array<Array<{ item: string; amount: string; unit: string }>> {
	if (stepCount === 0 || !ingredients || ingredients.length === 0) {
		return [];
	}

	const partitions: Array<Array<{ item: string; amount: string; unit: string }>> = Array.from(
		{ length: stepCount },
		() => []
	);

	// Distribute ingredients round-robin across steps
	ingredients.forEach((ingredient, index) => {
		partitions[index % stepCount].push(ingredient);
	});

	console.debug(`Partitioned ${ingredients.length} ingredients across ${stepCount} steps:`, partitions);
	return partitions;
}

/**
 * Parses amount string to a number, handling special cases
 * Returns null if amount cannot be parsed to a valid number
 */
function parseAmount(amountStr: string): number | null {
	if (!amountStr || typeof amountStr !== 'string') {
		return null;
	}

	const trimmed = amountStr.trim().toLowerCase();

	// Skip special cases that can't be converted to numbers
	if (!trimmed || trimmed === 'q.b.' || trimmed === 'qb' || trimmed === 'to taste') {
		return null;
	}

	// Try to extract the first number from the string
	const numberMatch = trimmed.match(/^[\d.,]+/);
	if (!numberMatch) {
		return null;
	}

	const numStr = numberMatch[0].replace(',', '.');
	const parsed = parseFloat(numStr);

	// Return null for zero or invalid numbers
	if (isNaN(parsed) || parsed === 0) {
		return null;
	}

	return parsed;
}

/**
 * Builds a complete Tandoor Recipe DTO from extracted recipe data
 * Includes ingredients partitioned across steps
 */
function buildTandoorRecipeDTO(recipe: ExtractedRecipe): TandoorRecipeDTO {
	const stepCount = recipe.steps?.length || 1;
	const ingredientPartitions = partitionIngredientsAcrossSteps(
		recipe.ingredients || [],
		stepCount
	);

	const steps: TandoorRecipeDTO['steps'] = (recipe.steps || []).map((instruction, index) => {
		// Map ingredients, converting unparseable amounts to 1 q.b.
		const mappedIngredients = (ingredientPartitions[index] || []).map((ing) => {
			const amount = parseAmount(ing.amount);
			
			if (amount === null) {
				console.debug(`Converting ingredient with unparseable amount to 1 q.b.: ${ing.item} (${ing.amount})`);
				return {
					food: {
						name: ing.item
					},
					unit: { name: 'q.b.' },
					amount: '1',
					note: ''
				};
			}

			return {
				food: {
					name: ing.item
				},
				unit: ing.unit && ing.unit.trim() ? { name: ing.unit } : null,
				amount: amount.toString(),
				note: ''
			};
		});

		return {
			instruction,
			order: index,
			ingredients: mappedIngredients
		};
	});

	return {
		name: recipe.name,
		description: recipe.description || undefined,
		keywords: [],
		steps,
		servings: recipe.servings || undefined,
		servings_text: recipe.servings ? `${recipe.servings} servings` : undefined,
		private: false,
		show_ingredient_overview: true
	};
}

/**
 * Uploads a recipe to Tandoor server using the DTO-based approach
 * Creates recipe with ingredients partitioned across steps in a single request
 */
export async function uploadRecipeWithIngredientsDTO(
	recipe: ExtractedRecipe
): Promise<{ success: boolean; recipeId?: number; imageUrl?: string; error?: string }> {
	try {
		// Validate token
		const token = tandoorConfig.token;
		if (!token) {
			return {
				success: false,
				error: 'TANDOOR_TOKEN environment variable not set'
			};
		}

		// Build the complete DTO
		const recipeDTO = buildTandoorRecipeDTO(recipe);
		console.debug('Uploading recipe with ingredients DTO:', recipeDTO);

		// Call the API with the DTO
		const recipeResult = await fetchFromTandoor<{ id: number }>(
			`/api/recipe/`,
			{
				method: 'POST',
				headers: { 'Content-Type': 'application/json' },
				body: JSON.stringify(recipeDTO)
			}
		);

		if (!recipeResult.ok || !recipeResult.data) {
			console.error('Recipe creation failed:', recipeResult.error);
			return {
				success: false,
				error: `Failed to create recipe: ${recipeResult.error}`
			};
		}

		const createdRecipe = recipeResult.data;
		console.debug('Successfully created recipe with ID:', createdRecipe.id);

		return {
			success: true,
			recipeId: createdRecipe.id,
			imageUrl: recipe.image || undefined
		};
	} catch (error) {
		const errorMsg = error instanceof Error ? error.message : 'Unknown error';
		console.error(`Error uploading recipe to Tandoor: ${errorMsg}`);
		return {
			success: false,
			error: `Error uploading to Tandoor: ${errorMsg}`
		};
	}
}

/**
 * Determine if a string is a direct HTTP(S) URL
 */
function isDirectUrl(url: string): boolean {
	return url.startsWith('http://') || url.startsWith('https://');
}

/**
 * Determine if a string is a base64 data URL
 */
function isDataUrl(url: string): boolean {
	return url.startsWith('data:');
}

/**
 * Extract MIME type and base64 data from data URL
 */
function parseDataUrl(dataUrl: string): { mimeType: string; base64Data: string } | null {
	const match = dataUrl.match(/^data:([^;]+);base64,(.+)$/);
	if (!match) return null;
	return {
		mimeType: match[1],
		base64Data: match[2]
	};
}

/**
 * Convert MIME type to file extension
 */
function getExtensionFromMimeType(mimeType: string): string {
	const mimeToExt: Record<string, string> = {
		'image/jpeg': '.jpg',
		'image/jpg': '.jpg',
		'image/png': '.png',
		'image/gif': '.gif',
		'image/webp': '.webp'
	};
	return mimeToExt[mimeType] || '.jpg';
}

/**
 * Uploads an image to a Tandoor recipe with intelligent format handling
 * 
 * Supports three upload strategies:
 * 1. Direct URL pass-through (most efficient) - for meta tags, Instagram URLs
 * 2. Base64 data URL conversion to file upload - for screenshots
 * 3. Fallback blob upload - for any other format
 * 
 * @param recipeId - Tandoor recipe ID
 * @param imageUrl - Image URL (can be HTTP(S) URL or base64 data URL)
 * @returns Success status and optional error message
 */
export async function uploadRecipeImage(
	recipeId: number,
	imageUrl: string
): Promise<{ success: boolean; error?: string }> {
	try {
		const token = tandoorConfig.token;
		if (!token) {
			return { success: false, error: 'TANDOOR_TOKEN not set' };
		}

		console.log(`[Tandoor Upload] Recipe ID: ${recipeId}`);
		console.log(`[Tandoor Upload] Image type: ${isDirectUrl(imageUrl) ? 'URL' : isDataUrl(imageUrl) ? 'Base64' : 'Unknown'}`);
		console.log(`[Tandoor Upload] Image source: ${imageUrl.substring(0, 100)}...`);

		// Strategy 1: Direct URL pass-through (preferred)
		if (isDirectUrl(imageUrl)) {
			console.log('[Tandoor Upload] Using URL pass-through strategy');
			const formData = new FormData();
			formData.append('image_url', imageUrl);

			const uploadResponse = await fetch(
				`${tandoorConfig.serverUrl}/api/recipe/${recipeId}/image/`,
				{
					method: 'PUT',
					headers: { 'Authorization': `Token ${token}` },
					body: formData
				}
			);

			if (uploadResponse.ok) {
				console.log('[Tandoor Upload] ✓ Success via URL pass-through');
				return { success: true };
			}

			// If URL strategy fails, fall through to file upload
			const errorText = await uploadResponse.text().catch(() => uploadResponse.statusText);
			console.warn(`[Tandoor Upload] URL pass-through failed (${uploadResponse.status}), trying file upload: ${errorText}`);
		}

		// Strategy 2: Base64 data URL to file upload
		if (isDataUrl(imageUrl)) {
			console.log('[Tandoor Upload] Using base64 file upload strategy');
			
			const parsed = parseDataUrl(imageUrl);
			if (!parsed) {
				return { success: false, error: 'Invalid data URL format' };
			}

			// Convert base64 to buffer
			const imageBuffer = Buffer.from(parsed.base64Data, 'base64');
			const extension = getExtensionFromMimeType(parsed.mimeType);
			
			// Create a proper file blob
			const blob = new Blob([imageBuffer], { type: parsed.mimeType });
			
			const formData = new FormData();
			formData.append('image', blob, `recipe-image${extension}`);

			const uploadResponse = await fetch(
				`${tandoorConfig.serverUrl}/api/recipe/${recipeId}/image/`,
				{
					method: 'PUT',
					headers: { 'Authorization': `Token ${token}` },
					body: formData
				}
			);

			if (!uploadResponse.ok) {
				const errorText = await uploadResponse.text().catch(() => uploadResponse.statusText);
				console.error(`[Tandoor Upload] Failed: ${uploadResponse.status} ${uploadResponse.statusText}`);
				console.error(`[Tandoor Upload] Response: ${errorText.substring(0, 200)}`);
				return { 
					success: false, 
					error: `Upload failed (${uploadResponse.status}): ${errorText.substring(0, 200)}` 
				};
			}

			console.log(`[Tandoor Upload] ✓ Success via base64 file upload (${imageBuffer.length} bytes)`);
			return { success: true };
		}

		// Strategy 3: Fallback - try to fetch and upload
		console.log('[Tandoor Upload] Using fallback fetch strategy');
		const response = await fetch(imageUrl);
		const imageBlob = await response.blob();
		
		// Determine file extension from blob type or default to jpg
		let extension = '.jpg';
		if (imageBlob.type) {
			extension = getExtensionFromMimeType(imageBlob.type);
		}

		const formData = new FormData();
		formData.append('image', imageBlob, `recipe-image${extension}`);

		const uploadResponse = await fetch(
			`${tandoorConfig.serverUrl}/api/recipe/${recipeId}/image/`,
			{
				method: 'PUT',
				headers: { 'Authorization': `Token ${token}` },
				body: formData
			}
		);

		if (!uploadResponse.ok) {
			const errorText = await uploadResponse.text().catch(() => uploadResponse.statusText);
			console.error(`[Tandoor Upload] Failed: ${uploadResponse.status} ${uploadResponse.statusText}`);
			console.error(`[Tandoor Upload] Response: ${errorText.substring(0, 200)}`);
			return { 
				success: false, 
				error: `Upload failed (${uploadResponse.status}): ${errorText.substring(0, 200)}` 
			};
		}

		console.log(`[Tandoor Upload] ✓ Success via fallback (${imageBlob.size} bytes)`);
		return { success: true };
	} catch (error) {
		const errorMsg = error instanceof Error ? error.message : 'Unknown error';
		console.error(`[Tandoor Upload] Exception: ${errorMsg}`);
		// Don't fail recipe creation if image fails
		return { success: false, error: errorMsg };
	}
}