fosterflow/src/routes/admin/import/+page.server.ts

import type { PageServerLoad, Actions } from './$types';
import { fail, error } from '@sveltejs/kit';
import { db } from '$lib/server/db';
import { pets } from '$lib/server/schema';
import { slugify } from '$lib/slugify';
import { hasPermission } from '$lib/roles';
import type { Role } from '$lib/roles';
import { logAudit } from '$lib/server/audit';

// Pet fields that can be mapped from CSV
export const PET_FIELDS = [
	{ key: 'name', label: 'Name', required: true },
	{ key: 'species', label: 'Species (dog/cat/other)' },
	{ key: 'breed', label: 'Breed' },
	{ key: 'age', label: 'Age' },
	{ key: 'sex', label: 'Sex (male/female/unknown)' },
	{ key: 'color', label: 'Color' },
	{ key: 'weight', label: 'Weight' },
	{ key: 'status', label: 'Status' },
	{ key: 'description', label: 'Description' },
	{ key: 'medicalNotes', label: 'Medical Notes' },
	{ key: 'behavioralNotes', label: 'Behavioral Notes' },
	{ key: 'specialNeeds', label: 'Special Needs' },
	{ key: 'microchipId', label: 'Microchip ID' },
	{ key: 'adoptionFee', label: 'Adoption Fee' },
	{ key: 'skip', label: '— Skip this column —' }
] as const;

type PetFieldKey = (typeof PET_FIELDS)[number]['key'];

function parseCSV(text: string): string[][] {
	const rows: string[][] = [];
	const lines = text.split(/\r?\n/);

	for (const line of lines) {
		if (!line.trim()) continue;

		const cells: string[] = [];
		let inQuotes = false;
		let cell = '';

		for (let i = 0; i < line.length; i++) {
			const ch = line[i];

			if (ch === '"') {
				if (inQuotes && line[i + 1] === '"') {
					cell += '"';
					i++; // skip next quote
				} else {
					inQuotes = !inQuotes;
				}
			} else if (ch === ',' && !inQuotes) {
				cells.push(cell.trim());
				cell = '';
			} else {
				cell += ch;
			}
		}
		cells.push(cell.trim());
		rows.push(cells);
	}

	return rows;
}

function normalizeSpecies(val: string): 'dog' | 'cat' | 'other' {
	const v = val.toLowerCase().trim();
	if (v === 'dog' || v === 'canine') return 'dog';
	if (v === 'cat' || v === 'feline') return 'cat';
	return 'other';
}

function normalizeSex(val: string): 'male' | 'female' | 'unknown' {
	const v = val.toLowerCase().trim();
	if (v === 'male' || v === 'm') return 'male';
	if (v === 'female' || v === 'f') return 'female';
	return 'unknown';
}

function normalizeStatus(val: string): string {
	const v = val.toLowerCase().trim();
	const validStatuses = [
		'available', 'adopted', 'foster', 'medical_hold', 'behavioral_hold',
		'pending', 'trial', 'hospice', 'nursing', 'whelping', 'deceased', 'transferred'
	];
	return validStatuses.includes(v) ? v : 'available';
}

export const load: PageServerLoad = async ({ locals }) => {
	if (!hasPermission(locals.user!.role as Role, 'import')) {
		error(403, 'Access denied: import permission required.');
	}

	return {};
};

export const actions: Actions = {
	// Parse uploaded CSV and return preview data
	parse: async ({ request, locals }) => {
		if (!hasPermission(locals.user!.role as Role, 'import')) {
			return fail(403, { error: 'Access denied.' });
		}

		const fd = await request.formData();
		const file = fd.get('csv') as File | null;

		if (!file || file.size === 0) {
			return fail(400, { error: 'Please upload a CSV file.' });
		}

		if (!file.name.endsWith('.csv') && file.type !== 'text/csv') {
			return fail(400, { error: 'File must be a CSV.' });
		}

		if (file.size > 5 * 1024 * 1024) {
			return fail(400, { error: 'File too large (max 5MB).' });
		}

		const text = await file.text();
		const rows = parseCSV(text);

		if (rows.length < 2) {
			return fail(400, { error: 'CSV must have a header row and at least one data row.' });
		}

		const headers = rows[0];
		const previewRows = rows.slice(1, 6); // First 5 data rows
		const totalRows = rows.length - 1;

		// Auto-detect column mappings based on header names
		const autoMappings: Record<number, PetFieldKey> = {};
		for (let i = 0; i < headers.length; i++) {
			const h = headers[i].toLowerCase().trim();
			if (h === 'name' || h === 'pet name' || h === 'animal name') autoMappings[i] = 'name';
			else if (h === 'species' || h === 'type' || h === 'animal type') autoMappings[i] = 'species';
			else if (h === 'breed') autoMappings[i] = 'breed';
			else if (h === 'age' || h === 'age estimate') autoMappings[i] = 'age';
			else if (h === 'sex' || h === 'gender') autoMappings[i] = 'sex';
			else if (h === 'color' || h === 'colour') autoMappings[i] = 'color';
			else if (h === 'weight') autoMappings[i] = 'weight';
			else if (h === 'status') autoMappings[i] = 'status';
			else if (h === 'description' || h === 'bio' || h === 'about') autoMappings[i] = 'description';
			else if (h === 'medical notes' || h === 'medical') autoMappings[i] = 'medicalNotes';
			else if (h === 'behavioral notes' || h === 'behavior' || h === 'behavioural') autoMappings[i] = 'behavioralNotes';
			else if (h === 'special needs') autoMappings[i] = 'specialNeeds';
			else if (h === 'microchip' || h === 'microchip id' || h === 'chip') autoMappings[i] = 'microchipId';
			else if (h === 'adoption fee' || h === 'fee') autoMappings[i] = 'adoptionFee';
			else autoMappings[i] = 'skip';
		}

		// Store the CSV data as a JSON string so we can pass it in the next form step
		const csvData = JSON.stringify({ headers, rows: rows.slice(1) });

		return {
			parsed: true,
			headers,
			previewRows,
			totalRows,
			autoMappings,
			csvData,
			petFields: PET_FIELDS
		};
	},

	// Import mapped CSV data into the pets table
	import: async ({ request, locals }) => {
		if (!hasPermission(locals.user!.role as Role, 'import')) {
			return fail(403, { error: 'Access denied.' });
		}

		const fd = await request.formData();
		const csvDataStr = fd.get('csvData')?.toString() ?? '';

		if (!csvDataStr) {
			return fail(400, { error: 'CSV data missing. Please re-upload.' });
		}

		let csvData: { headers: string[]; rows: string[][] };
		try {
			csvData = JSON.parse(csvDataStr);
		} catch {
			return fail(400, { error: 'Invalid CSV data.' });
		}

		const { headers, rows } = csvData;

		// Build column mapping from form: mapping_0, mapping_1, ...
		const columnMap: Record<number, PetFieldKey> = {};
		for (let i = 0; i < headers.length; i++) {
			const val = fd.get(`mapping_${i}`)?.toString() as PetFieldKey | undefined;
			if (val) columnMap[i] = val;
		}

		// Verify 'name' is mapped
		const hasName = Object.values(columnMap).includes('name');
		if (!hasName) {
			return fail(400, { error: 'You must map a column to "Name".' });
		}

		let imported = 0;
		let skipped = 0;
		const errors: string[] = [];

		// Track slugs within this batch to avoid duplicates
		const batchSlugs = new Set<string>();

		// Get existing slugs from db
		const existingSlugRows = await db.select({ slug: pets.slug }).from(pets);
		const existingSlugs = new Set(existingSlugRows.map(r => r.slug));

		for (let rowIdx = 0; rowIdx < rows.length; rowIdx++) {
			const row = rows[rowIdx];
			const rowNum = rowIdx + 2; // 1-indexed, +1 for header

			// Extract mapped values
			const mapped: Record<string, string> = {};
			for (let colIdx = 0; colIdx < headers.length; colIdx++) {
				const field = columnMap[colIdx];
				if (field && field !== 'skip' && row[colIdx] !== undefined) {
					mapped[field] = row[colIdx].trim();
				}
			}

			const name = mapped['name'];
			if (!name) {
				errors.push(`Row ${rowNum}: skipped — name is empty.`);
				skipped++;
				continue;
			}

			// Generate unique slug
			let baseSlug = slugify(name);
			let slug = baseSlug;
			let counter = 1;
			while (existingSlugs.has(slug) || batchSlugs.has(slug)) {
				slug = `${baseSlug}-${counter}`;
				counter++;
			}
			batchSlugs.add(slug);
			existingSlugs.add(slug);

			try {
				await db.insert(pets).values({
					name,
					slug,
					species: mapped['species'] ? normalizeSpecies(mapped['species']) : 'dog',
					breed: mapped['breed'] || null,
					age: mapped['age'] || null,
					sex: mapped['sex'] ? normalizeSex(mapped['sex']) : 'unknown',
					color: mapped['color'] || null,
					weight: mapped['weight'] || null,
					status: mapped['status'] ? normalizeStatus(mapped['status']) as any : 'available',
					description: mapped['description'] || null,
					medicalNotes: mapped['medicalNotes'] || null,
					behavioralNotes: mapped['behavioralNotes'] || null,
					specialNeeds: mapped['specialNeeds'] || null,
					microchipId: mapped['microchipId'] || null,
					adoptionFee: mapped['adoptionFee'] ? parseInt(mapped['adoptionFee'], 10) || null : null,
					published: true
				});
				imported++;
			} catch (err) {
				errors.push(`Row ${rowNum} (${name}): ${err instanceof Error ? err.message : 'Insert failed.'}`);
				skipped++;
			}
		}

		await logAudit({
			userId: locals.user!.id,
			action: 'csv_import',
			entity: 'pets',
			diff: { imported, skipped, errorCount: errors.length }
		});

		return {
			importComplete: true,
			imported,
			skipped,
			errors: errors.slice(0, 20) // Cap error output
		};
	}
};