graphs/backend/services/analyticsService.js

const { pool } = require('../db');

const SIZE_SUFFIX_SQL_PATTERN = '\\s+-\\s+(?:(?:PP|P|M|G|GG|XG|XGG|EG|EGG|EXG|U|UNICO|ÚNICO|\\d{2})(?:/(?:PP|P|M|G|GG|XG|XGG|EG|EGG|EXG|U|UNICO|ÚNICO|\\d{2}))*)$';
const PRODUCT_NAME_SQL = `NULLIF(TRIM(regexp_replace(split_part(COALESCE(produto_descricao, 'Unknown'), ' TAMANHO', 1), '${SIZE_SUFFIX_SQL_PATTERN}', '', 'i')), '')`;

const normalizeDateParam = (value) => {
    if (!value) return null;

    const match = String(value).trim().match(/^(\d{4})-(\d{2})-(\d{2})$/);
    if (!match) return null;

    const [, yearValue, monthValue, dayValue] = match;
    const year = Number(yearValue);
    const month = Number(monthValue);
    const day = Number(dayValue);
    const date = new Date(Date.UTC(year, month - 1, day));

    if (
        date.getUTCFullYear() !== year ||
        date.getUTCMonth() !== month - 1 ||
        date.getUTCDate() !== day
    ) {
        return null;
    }

    return `${yearValue}-${monthValue}-${dayValue}`;
};

const buildDateFilter = ({ start, end } = {}) => {
    const params = [];
    const filters = ['data_pedido_date IS NOT NULL'];
    const normalizedStart = normalizeDateParam(start);
    const normalizedEnd = normalizeDateParam(end);

    if (normalizedStart) {
        params.push(normalizedStart);
        filters.push(`data_pedido_date >= $${params.length}::date`);
    }

    if (normalizedEnd) {
        params.push(normalizedEnd);
        filters.push(`data_pedido_date <= $${params.length}::date`);
    }

    return {
        params,
        whereClause: `WHERE ${filters.join(' AND ')}`
    };
};

const toNumber = (value) => Number(value || 0);

const getDashboardAnalytics = async (range = {}) => {
    const { params, whereClause } = buildDateFilter(range);
    const [totalsResult, salesResult, revenueResult] = await Promise.all([
        pool.query(`
            SELECT
                COALESCE(SUM(quantidade * valor_unitario), 0) as total_revenue,
                COALESCE(SUM(quantidade), 0) as total_items,
                COUNT(*)::int as order_line_count
            FROM orders
            ${whereClause};
        `, params),
        pool.query(`
            SELECT
                COALESCE(${PRODUCT_NAME_SQL}, 'Unknown') as name,
                MAX(produto_id) as id,
                COALESCE(SUM(quantidade), 0) as value
            FROM orders
            ${whereClause}
            GROUP BY name
            ORDER BY value DESC
            LIMIT 10;
        `, params),
        pool.query(`
            SELECT
                COALESCE(${PRODUCT_NAME_SQL}, 'Unknown') as name,
                MAX(produto_id) as id,
                COALESCE(SUM(quantidade * valor_unitario), 0) as value
            FROM orders
            ${whereClause}
            GROUP BY name
            ORDER BY value DESC
            LIMIT 10;
        `, params)
    ]);

    const totals = totalsResult.rows[0] || {};
    const orderLineCount = toNumber(totals.order_line_count);
    const totalRevenue = toNumber(totals.total_revenue);

    return {
        range: {
            start: normalizeDateParam(range.start),
            end: normalizeDateParam(range.end)
        },
        totalRevenue,
        totalOrders: toNumber(totals.total_items),
        orderLineCount,
        averageOrderValue: orderLineCount ? totalRevenue / orderLineCount : 0,
        salesByProduct: salesResult.rows.map(row => ({
            name: row.name,
            id: row.id,
            value: toNumber(row.value)
        })),
        revenueByProduct: revenueResult.rows.map(row => ({
            name: row.name,
            id: row.id,
            value: toNumber(row.value)
        }))
    };
};

const getProductAnalytics = async (range = {}) => {
    const { params, whereClause } = buildDateFilter(range);
    const result = await pool.query(`
        SELECT
            COALESCE(${PRODUCT_NAME_SQL}, 'Unknown') as name,
            MAX(produto_id) as id,
            COALESCE(SUM(quantidade), 0) as quantity_sold,
            COALESCE(SUM(quantidade * valor_unitario), 0) as revenue,
            COUNT(*)::int as order_line_count,
            MIN(data_pedido_date) as first_sale_date,
            MAX(data_pedido_date) as last_sale_date
        FROM orders
        ${whereClause}
        GROUP BY name
        ORDER BY revenue DESC, quantity_sold DESC
        LIMIT 500;
    `, params);

    return result.rows.map(row => ({
        name: row.name,
        id: row.id,
        quantitySold: toNumber(row.quantity_sold),
        revenue: toNumber(row.revenue),
        orderLineCount: toNumber(row.order_line_count),
        firstSaleDate: row.first_sale_date,
        lastSaleDate: row.last_sale_date
    }));
};

const getClientAnalytics = async (range = {}) => {
    const { params, whereClause } = buildDateFilter(range);
    const result = await pool.query(`
        SELECT
            MAX(cliente_nome) as name,
            cliente_fone as phone,
            COALESCE(SUM(quantidade), 0) as quantity_purchased,
            COALESCE(SUM(quantidade * valor_unitario), 0) as total_spent,
            COUNT(*)::int as order_line_count,
            MAX(data_pedido_date) as last_purchase_date
        FROM orders
        ${whereClause}
          AND cliente_fone IS NOT NULL
          AND cliente_fone != ''
        GROUP BY cliente_fone
        ORDER BY total_spent DESC
        LIMIT 500;
    `, params);

    return result.rows.map(row => ({
        name: row.name,
        phone: row.phone,
        quantityPurchased: toNumber(row.quantity_purchased),
        totalSpent: toNumber(row.total_spent),
        orderLineCount: toNumber(row.order_line_count),
        lastPurchaseDate: row.last_purchase_date
    }));
};

module.exports = {
    buildDateFilter,
    getClientAnalytics,
    getDashboardAnalytics,
    getProductAnalytics,
    normalizeDateParam
};