const assert = require('node:assert/strict');
const test = require('node:test');

const {
    buildRfmClients,
    buildRfmSegments,
    buildDateFilter,
    getFrequencyScore,
    createClientToken,
    isClientToken,
    getClientAnalytics,
    getClientDetailsAnalytics,
    getClientFilterOptions,
    getClientPurchasePatternAnalytics,
    getDashboardAnalytics,
    getPreviousDate,
    getProductAnalytics,
    getProductDetailsAnalytics,
    getRecencyScore,
    getRfmAnalytics,
    getRfmSegment,
    normalizeDateParam,
    scoreTertile
} = require('../services/analyticsService');
const { pool } = require('../db');

test('normalizeDateParam accepts strict ISO dates', () => {
    assert.equal(normalizeDateParam('2026-05-28'), '2026-05-28');
});

test('normalizeDateParam rejects non-ISO or impossible dates', () => {
    assert.equal(normalizeDateParam('28/05/2026'), null);
    assert.equal(normalizeDateParam('2026-02-31'), null);
    assert.equal(normalizeDateParam(''), null);
});

test('buildDateFilter builds bounded date predicates', () => {
    const filter = buildDateFilter({ start: '2026-05-01', end: '2026-05-28' });

    assert.deepEqual(filter.params, ['2026-05-01', '2026-05-28']);
    assert.equal(
        filter.whereClause,
        'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
    );
});

test('buildDateFilter builds Hoje as an inclusive single-day date predicate', () => {
    const filter = buildDateFilter({ start: '2026-06-15', end: '2026-06-15' });

    assert.deepEqual(filter.params, ['2026-06-15', '2026-06-15']);
    assert.equal(
        filter.whereClause,
        'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
    );
});

test('buildDateFilter builds Ontem as an inclusive single-day date predicate', () => {
    const filter = buildDateFilter({ start: '2026-06-14', end: '2026-06-14' });

    assert.deepEqual(filter.params, ['2026-06-14', '2026-06-14']);
    assert.equal(
        filter.whereClause,
        'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
    );
});

test('buildDateFilter builds Ultimos 7 dias as an inclusive calendar range', () => {
    const filter = buildDateFilter({ start: '2026-06-09', end: '2026-06-15' });

    assert.deepEqual(filter.params, ['2026-06-09', '2026-06-15']);
    assert.equal(
        filter.whereClause,
        'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
    );
});

test('buildDateFilter builds custom single-day ranges inclusively', () => {
    const filter = buildDateFilter({ start: '2026-06-10', end: '2026-06-10' });

    assert.deepEqual(filter.params, ['2026-06-10', '2026-06-10']);
    assert.equal(
        filter.whereClause,
        'WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date'
    );
});

test('buildDateFilter ignores invalid bounds', () => {
    const filter = buildDateFilter({ start: 'invalid', end: '2026-05-28' });

    assert.deepEqual(filter.params, ['2026-05-28']);
    assert.equal(
        filter.whereClause,
        'WHERE data_pedido_date IS NOT NULL AND data_pedido_date <= $1::date'
    );
});

test('buildDateFilter composes client metadata predicates after date predicates', () => {
    const filter = buildDateFilter({
        start: '2026-05-01',
        end: '2026-05-28',
        marketplace: ' Mercado Livre ',
        canal_venda: ' Online ',
        seller: 'id:VEN-1'
    });

    assert.deepEqual(filter.params, ['2026-05-01', '2026-05-28', 'Mercado Livre', 'Online', 'VEN-1']);
    assert.equal(filter.endParamIndex, 2);
    assert.equal(
        filter.whereClause,
        "WHERE data_pedido_date IS NOT NULL AND data_pedido_date >= $1::date AND data_pedido_date <= $2::date AND NULLIF(TRIM(marketplace), '') = $3 AND NULLIF(TRIM(canal_venda), '') = $4 AND NULLIF(TRIM(id_vendedor), '') = $5"
    );
});

test('buildDateFilter can filter seller by display name when no seller id is selected', () => {
    const filter = buildDateFilter({ seller: 'name:Maria' });

    assert.deepEqual(filter.params, ['%Maria%']);
    assert.equal(
        filter.whereClause,
        "WHERE data_pedido_date IS NOT NULL AND NULLIF(TRIM(nome_vendedor), '') ILIKE $1"
    );
});

test('buildDateFilter can search seller names from typed text', () => {
    const filter = buildDateFilter({ seller: 'MARCUS' });

    assert.deepEqual(filter.params, ['MARCUS', '%MARCUS%']);
    assert.equal(
        filter.whereClause,
        "WHERE data_pedido_date IS NOT NULL AND (NULLIF(TRIM(id_vendedor), '') = $1 OR NULLIF(TRIM(nome_vendedor), '') ILIKE $2)"
    );
});

test('getPreviousDate returns the calendar day before an ISO date', () => {
    assert.equal(getPreviousDate('2026-06-15'), '2026-06-14');
    assert.equal(getPreviousDate('2026-03-01'), '2026-02-28');
    assert.equal(getPreviousDate('invalid'), null);
});

test('getDashboardAnalytics includes seller revenue and order metrics', async () => {
    const originalQuery = pool.query;
    const calls = [];

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        if (sql.includes('total_revenue')) {
            return {
                rows: [{
                    total_revenue: 1000,
                    total_items: 25,
                    order_line_count: 5
                }]
            };
        }

        if (sql.includes('data_pedido_date::text as date')) {
            return {
                rows: [{ id: '977226210', name: 'KEDMA DA SILVA', date: '2026-06-05', value: 400, orders: 2 }]
            };
        }

        if (sql.includes('order_hour')) {
            return {
                rows: [{ id: '977226210', name: 'KEDMA DA SILVA', hour: 14, value: 300, orders: 1 }]
            };
        }

        if (sql.includes('seller_orders') && sql.includes('SUM(quantidade * valor_unitario)')) {
            return {
                rows: [{ id: '977226210', name: 'KEDMA DA SILVA', value: 750 }]
            };
        }

        if (sql.includes('seller_orders') && sql.includes('COUNT(DISTINCT')) {
            return {
                rows: [{ id: '977226210', name: 'KEDMA DA SILVA', value: 3 }]
            };
        }

        if (sql.includes('SUM(quantidade), 0) as value')) {
            return {
                rows: [{ id: 'P1', name: 'Produto A', value: 10 }]
            };
        }

        return {
            rows: [{ id: 'P1', name: 'Produto A', value: 1000 }]
        };
    };

    try {
        const dashboard = await getDashboardAnalytics({ start: '2026-06-01', end: '2026-06-24' });
        const sellerRevenueQuery = calls.find(call => call.sql.includes('seller_orders') && call.sql.includes('SUM(quantidade * valor_unitario)'));
        const sellerOrdersQuery = calls.find(call => call.sql.includes('seller_orders') && call.sql.includes('COUNT(DISTINCT'));

        assert.equal(calls.length, 7);
        calls.forEach(call => {
            assert.deepEqual(call.params, ['2026-06-01', '2026-06-24']);
        });
        assert.match(sellerRevenueQuery.sql, /substring\(NULLIF\(TRIM\(nome_vendedor\), ''\) from/);
        assert.match(sellerRevenueQuery.sql, /regexp_replace\(COALESCE\(nome_vendedor, ''\)/);
        assert.match(sellerOrdersQuery.sql, /COUNT\(DISTINCT COALESCE/);
        assert.deepEqual(dashboard.revenueBySeller, [
            { id: '977226210', name: 'KEDMA DA SILVA', value: 750 }
        ]);
        assert.deepEqual(dashboard.ordersBySeller, [
            { id: '977226210', name: 'KEDMA DA SILVA', value: 3 }
        ]);
        assert.deepEqual(dashboard.sellerRevenueByDate, [
            { id: '977226210', name: 'KEDMA DA SILVA', date: '2026-06-05', value: 400, orders: 2 }
        ]);
        assert.deepEqual(dashboard.sellerRevenueByHour, [
            { id: '977226210', name: 'KEDMA DA SILVA', hour: 14, value: 300, orders: 1 }
        ]);
    } finally {
        pool.query = originalQuery;
    }
});

test('client tokens are opaque and stable for customer keys', () => {
    const phoneKey = '(16) 99103-6131';
    const nameKey = 'name:Cliente Sem Fone';
    const phoneToken = createClientToken(phoneKey);
    const nameToken = createClientToken(nameKey);

    assert.ok(isClientToken(phoneToken));
    assert.ok(isClientToken(nameToken));
    assert.equal(createClientToken(phoneKey), phoneToken);
    assert.notEqual(createClientToken('name:Marcela Abreu'), phoneToken);
    assert.doesNotMatch(phoneToken, /99103|6131|\(16\)/);
    assert.doesNotMatch(nameToken, /Cliente|Sem|Fone/);
    assert.equal(isClientToken('invalid-token'), false);
});

test('scoreTertile scores higher values higher by default', () => {
    const values = [10, 20, 30, 40, 50];

    assert.equal(scoreTertile(10, values), 1);
    assert.equal(scoreTertile(30, values), 2);
    assert.equal(scoreTertile(50, values), 3);
});

test('scoreTertile can score lower values higher for recency', () => {
    const recencyDays = [2, 10, 20, 40, 80];

    assert.equal(scoreTertile(2, recencyDays, false), 3);
    assert.equal(scoreTertile(20, recencyDays, false), 2);
    assert.equal(scoreTertile(80, recencyDays, false), 1);
});

test('scoreTertile treats equal recency as high recency', () => {
    assert.equal(scoreTertile(0, [0, 0, 0], false), 3);
});

test('getRecencyScore uses fixed lifecycle boundaries', () => {
    assert.equal(getRecencyScore(0), 3);
    assert.equal(getRecencyScore(7), 3);
    assert.equal(getRecencyScore(8), 2);
    assert.equal(getRecencyScore(15), 2);
    assert.equal(getRecencyScore(16), 1);
    assert.equal(getRecencyScore(29), 1);
    assert.equal(getRecencyScore(30), 1);
});

test('getFrequencyScore uses fixed historical order thresholds', () => {
    assert.equal(getFrequencyScore(0), 1);
    assert.equal(getFrequencyScore(1), 1);
    assert.equal(getFrequencyScore(2), 2);
    assert.equal(getFrequencyScore(4), 2);
    assert.equal(getFrequencyScore(5), 3);
    assert.equal(getFrequencyScore(100), 3);
});

test('getRfmSegment maps the 3x3 RFM matrix', () => {
    assert.deepEqual(getRfmSegment(3, 3), { key: 'champions', label: 'Champions' });
    assert.deepEqual(getRfmSegment(2, 2), { key: 'need_attention', label: 'Precisam de Atenção' });
    assert.deepEqual(getRfmSegment(1, 1), { key: 'lost', label: 'Perdidos' });
});

test('buildRfmSegments summarizes segment count and revenue', () => {
    const segments = buildRfmSegments([
        { segmentKey: 'champions', monetary: 100 },
        { segmentKey: 'champions', monetary: 50 },
        { segmentKey: 'lost', monetary: 25 }
    ]);

    const champions = segments.find(segment => segment.key === 'champions');
    const lost = segments.find(segment => segment.key === 'lost');

    assert.equal(champions.count, 2);
    assert.equal(champions.totalRevenue, 150);
    assert.equal(champions.averageRevenue, 75);
    assert.equal(lost.count, 1);
    assert.equal(lost.totalRevenue, 25);
});

test('buildRfmClients keeps a repeat recent buyer as potential loyal across period filters', () => {
    const sevenDayClients = buildRfmClients([
        { name: 'Cliente Ontem', phone: '1', monetary: 500, frequency: 2, quantityPurchased: 2, lastPurchaseDate: '2026-06-14', recencyDays: 1 }
    ]);
    const yesterdayClients = buildRfmClients([
        { name: 'Cliente Ontem', phone: '1', monetary: 500, frequency: 2, quantityPurchased: 2, lastPurchaseDate: '2026-06-14', recencyDays: 0 }
    ]);

    assert.equal(sevenDayClients[0].segmentKey, 'potential_loyalists');
    assert.equal(yesterdayClients[0].segmentKey, 'potential_loyalists');
    assert.equal(sevenDayClients[0].phone, yesterdayClients[0].phone);
});

test('buildRfmClients requires five orders and top value for a recent Champion', () => {
    const clients = buildRfmClients([
        {
            customerKey: 'potential',
            name: 'Potencial',
            monetary: 5000,
            frequency: 4,
            recencyDays: 7,
            rfmFrequency: 4,
            rfmMonetary: 5000,
            rfmMonetaryScore: 3
        },
        {
            customerKey: 'champion',
            name: 'Champion',
            monetary: 5000,
            frequency: 5,
            recencyDays: 7,
            rfmFrequency: 5,
            rfmMonetary: 5000,
            rfmMonetaryScore: 3
        }
    ]);
    const byKey = new Map(clients.map(client => [client.customerKey, client]));

    assert.equal(byKey.get('potential').frequencyScore, 2);
    assert.equal(byKey.get('potential').segmentKey, 'potential_loyalists');
    assert.equal(byKey.get('champion').frequencyScore, 3);
    assert.equal(byKey.get('champion').segmentKey, 'champions');
});

test('buildRfmClients scores segments from RFM history when period totals are smaller', () => {
    const clients = buildRfmClients([
        {
            name: 'Champion que comprou ontem',
            phone: '1',
            monetary: 100,
            frequency: 1,
            quantityPurchased: 1,
            lastPurchaseDate: '2026-06-14',
            recencyDays: 0,
            rfmFrequency: 20,
            rfmMonetary: 10000
        },
        {
            name: 'Compra alta no periodo',
            phone: '2',
            monetary: 1000,
            frequency: 5,
            quantityPurchased: 5,
            lastPurchaseDate: '2026-06-10',
            recencyDays: 4,
            rfmFrequency: 1,
            rfmMonetary: 100
        },
        {
            name: 'Compra media no periodo',
            phone: '3',
            monetary: 900,
            frequency: 4,
            quantityPurchased: 4,
            lastPurchaseDate: '2026-06-05',
            recencyDays: 9,
            rfmFrequency: 1,
            rfmMonetary: 50
        }
    ]);

    const yesterdayBuyer = clients.find(client => client.phone === '1');

    assert.equal(yesterdayBuyer.segmentKey, 'champions');
    assert.equal(yesterdayBuyer.frequency, 1);
    assert.equal(yesterdayBuyer.monetary, 100);
    assert.equal(yesterdayBuyer.frequencyScore, 3);
    assert.equal(yesterdayBuyer.monetaryScore, 3);
});

test('buildRfmClients applies lifecycle protections to new, hibernating, at-risk, and lost clients', () => {
    const clients = buildRfmClients([
        {
            customerKey: 'new',
            name: 'Novo',
            monetary: 50,
            frequency: 1,
            recencyDays: 7,
            rfmFrequency: 1,
            rfmMonetary: 50,
            rfmFrequencyScore: 1,
            rfmMonetaryScore: 1
        },
        {
            customerKey: 'not-new',
            name: 'Não é mais novo',
            monetary: 50,
            frequency: 1,
            recencyDays: 8,
            rfmFrequency: 1,
            rfmMonetary: 50,
            rfmFrequencyScore: 1,
            rfmMonetaryScore: 1
        },
        {
            customerKey: 'hibernating',
            name: 'Hibernando',
            monetary: 50,
            frequency: 1,
            recencyDays: 16,
            rfmFrequency: 1,
            rfmMonetary: 50,
            rfmFrequencyScore: 1,
            rfmMonetaryScore: 1
        },
        {
            customerKey: 'at-risk',
            name: 'Em Risco',
            monetary: 100,
            frequency: 1,
            recencyDays: 16,
            rfmFrequency: 10,
            rfmMonetary: 1000,
            rfmFrequencyScore: 3,
            rfmMonetaryScore: 2
        },
        {
            customerKey: 'lost',
            name: 'Perdido',
            monetary: 2000,
            frequency: 1,
            recencyDays: 30,
            rfmFrequency: 1,
            rfmMonetary: 2000,
            rfmFrequencyScore: 1,
            rfmMonetaryScore: 3
        }
    ]);
    const byKey = new Map(clients.map(client => [client.customerKey, client]));

    assert.equal(byKey.get('new').segmentKey, 'new_customers');
    assert.equal(byKey.get('not-new').segmentKey, 'about_to_sleep');
    assert.equal(byKey.get('hibernating').segmentKey, 'hibernating');
    assert.equal(byKey.get('at-risk').segmentKey, 'at_risk');
    assert.equal(byKey.get('lost').segmentKey, 'lost');
    assert.equal(byKey.get('lost').rfmScore, '113');
});

test('getProductAnalytics returns exact product rows with stock and latest price', async () => {
    const originalQuery = pool.query;
    const calls = [];

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        return {
            rows: [
                {
                    id: '919483307',
                    name: 'BASE LISA CAMISETA COR PRETO TAMANHO - G',
                    quantity_sold: 9513,
                    revenue: 113216.83,
                    order_line_count: 100,
                    last_price: 11.9,
                    stock: 11731,
                    first_sale_date: '2026-06-01',
                    last_sale_date: '2026-06-22'
                },
                {
                    id: 'stock-only',
                    name: 'Produto sem venda no período',
                    quantity_sold: 0,
                    revenue: 0,
                    order_line_count: 0,
                    last_price: 0,
                    stock: 12,
                    first_sale_date: null,
                    last_sale_date: null
                }
            ]
        };
    };

    try {
        const products = await getProductAnalytics({ start: '2026-06-01', end: '2026-06-22' });

        assert.equal(calls.length, 1);
        assert.match(calls[0].sql, /WITH period_sales AS/);
        assert.match(calls[0].sql, /FULL OUTER JOIN stock_rows/);
        assert.doesNotMatch(calls[0].sql, /GROUP BY name/);
        assert.deepEqual(calls[0].params, ['2026-06-01', '2026-06-22']);
        assert.deepEqual(products[0], {
            id: '919483307',
            name: 'BASE LISA CAMISETA COR PRETO TAMANHO - G',
            quantitySold: 9513,
            revenue: 113216.83,
            orderLineCount: 100,
            lastPrice: 11.9,
            stock: 11731,
            firstSaleDate: '2026-06-01',
            lastSaleDate: '2026-06-22'
        });
        assert.equal(products[1].id, 'stock-only');
        assert.equal(products[1].stock, 12);
    } finally {
        pool.query = originalQuery;
    }
});

test('getProductDetailsAnalytics returns product identity and period chart without raw order download', async () => {
    const originalQuery = pool.query;
    const calls = [];

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        if (sql.includes('selected_product AS')) {
            return {
                rows: [{
                    id: '919483307',
                    name: 'BASE LISA CAMISETA COR PRETO TAMANHO - G',
                    price: 11.9,
                    stock: 11731
                }]
            };
        }

        if (sql.includes('selected_base AS')) {
            assert.match(sql, /COALESCE\(\s+CASE/);
            assert.match(sql, /GROUP BY produto_id/);
            assert.deepEqual(params, ['919483307', '2026-06-01', '2026-06-22']);
            return {
                rows: [
                    {
                        id: '919483307',
                        name: 'BASE LISA CAMISETA COR PRETO TAMANHO - G',
                        quantity_sold: 3,
                        revenue: 35.7,
                        order_count: 1
                    }
                ]
            };
        }

        return {
            rows: [
                {
                    data_pedido_date: '2026-06-01',
                    date_label: '01-06-2026',
                    quantity_sold: 3,
                    revenue: 35.7,
                    order_count: 1
                },
                {
                    data_pedido_date: '2026-06-02',
                    date_label: '02-06-2026',
                    quantity_sold: 2,
                    revenue: 23.8,
                    order_count: 1
                }
            ]
        };
    };

    try {
        const details = await getProductDetailsAnalytics('919483307', { start: '2026-06-01', end: '2026-06-22' });

        assert.equal(calls.length, 3);
        assert.match(calls[0].sql, /WITH selected_product AS/);
        assert.match(calls[0].sql, /WHERE produto_id = \$1/);
        assert.deepEqual(calls[0].params, ['919483307']);
        assert.match(calls[1].sql, /produto_id = \$1/);
        assert.match(calls[1].sql, /data_pedido_date >= \$2::date/);
        assert.match(calls[1].sql, /data_pedido_date <= \$3::date/);
        assert.deepEqual(calls[1].params, ['919483307', '2026-06-01', '2026-06-22']);
        assert.deepEqual(details.productInfo, {
            id: '919483307',
            name: 'BASE LISA CAMISETA COR PRETO TAMANHO - G',
            price: 11.9,
            stock: 11731
        });
        assert.deepEqual(details.chartData, [
            { date: '01-06-2026', value: 3, quantitySold: 3, revenue: 35.7, orderCount: 1, averageTicket: 35.7 },
            { date: '02-06-2026', value: 2, quantitySold: 2, revenue: 23.8, orderCount: 1, averageTicket: 23.8 }
        ]);
        assert.equal(details.totalSold, 5);
        assert.equal(details.totalRevenue, 59.5);
        assert.equal(details.totalOrders, 2);
        assert.equal(details.averageTicket, 29.75);
        assert.deepEqual(details.variantBreakdown, [
            {
                id: '919483307',
                name: 'BASE LISA CAMISETA COR PRETO TAMANHO - G',
                quantitySold: 3,
                revenue: 35.7,
                orderCount: 1
            }
        ]);
    } finally {
        pool.query = originalQuery;
    }
});

test('getProductDetailsAnalytics keeps known products visible with zero period sales', async () => {
    const originalQuery = pool.query;

    pool.query = async (sql) => {
        if (sql.includes('selected_product AS')) {
            return {
                rows: [{
                    id: 'stock-only',
                    name: 'Produto sem venda no período',
                    price: 0,
                    stock: 12
                }]
            };
        }

        return { rows: [] };
    };

    try {
        const details = await getProductDetailsAnalytics('stock-only', { start: '2026-06-01', end: '2026-06-22' });

        assert.equal(details.productInfo.id, 'stock-only');
        assert.equal(details.totalSold, 0);
        assert.equal(details.totalRevenue, 0);
        assert.deepEqual(details.chartData, []);
        assert.deepEqual(details.variantBreakdown, []);
    } finally {
        pool.query = originalQuery;
    }
});

test('getProductDetailsAnalytics groups single-day chart by hour', async () => {
    const originalQuery = pool.query;

    pool.query = async (sql) => {
        if (sql.includes('selected_product AS')) {
            return {
                rows: [{
                    id: '919483307',
                    name: 'Produto com venda por hora',
                    price: 11.9,
                    stock: 4
                }]
            };
        }

        if (sql.includes('selected_base AS')) {
            return { rows: [] };
        }

        assert.match(sql, /EXTRACT\(HOUR FROM created_at AT TIME ZONE 'America\/Sao_Paulo'\)::int as hour/);
        return {
            rows: [
                { hour: 9, quantity_sold: 2, revenue: 23.8, order_count: 1 },
                { hour: 18, quantity_sold: 3, revenue: 35.7, order_count: 1 }
            ]
        };
    };

    try {
        const details = await getProductDetailsAnalytics('919483307', { start: '2026-06-22', end: '2026-06-22' });

        assert.equal(details.chartData.length, 24);
        assert.deepEqual(details.chartData[9], { date: '09h', value: 2, quantitySold: 2, revenue: 23.8, orderCount: 1, averageTicket: 23.8 });
        assert.deepEqual(details.chartData[18], { date: '18h', value: 3, quantitySold: 3, revenue: 35.7, orderCount: 1, averageTicket: 35.7 });
        assert.equal(details.totalSold, 5);
        assert.equal(details.totalRevenue, 59.5);
    } finally {
        pool.query = originalQuery;
    }
});

test('getClientAnalytics returns opaque client tokens', async () => {
    const originalQuery = pool.query;
    const calls = [];

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        if (sql.includes('INSERT INTO client_identity_tokens')) {
            return { rows: [] };
        }

        return {
            rows: [
                {
                    customer_key: '(16) 99103-6131',
                    name: 'Marcela Abreu',
                    phone: '(16) 99103-6131',
                    quantity_purchased: 10,
                    total_spent: 500,
                    order_count: 2,
                    last_purchase_date: '2026-06-15'
                },
                {
                    customer_key: 'name:Cliente Sem Fone',
                    name: 'Cliente Sem Fone',
                    phone: null,
                    quantity_purchased: 1,
                    total_spent: 50,
                    order_count: 1,
                    last_purchase_date: '2026-06-10'
                }
            ]
        };
    };

    try {
        const clients = await getClientAnalytics({ start: '2026-06-01', end: '2026-06-15' });

        assert.equal(calls.length, 2);
        assert.equal(clients.length, 2);
        assert.match(calls[1].sql, /INSERT INTO client_identity_tokens/);
        assert.deepEqual(calls[1].params, [
            '(16) 99103-6131',
            clients[0].clientToken,
            'name:Cliente Sem Fone',
            clients[1].clientToken
        ]);
        assert.doesNotMatch(clients[0].clientToken, /99103|6131|Marcela/);
        assert.doesNotMatch(clients[1].clientToken, /Cliente|Fone/);
        assert.ok(isClientToken(clients[0].clientToken));
        assert.ok(isClientToken(clients[1].clientToken));
    } finally {
        pool.query = originalQuery;
    }
});

test('getClientAnalytics groups phone-less history through the customer identity CTE', async () => {
    const originalQuery = pool.query;
    const calls = [];

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        if (sql.includes('INSERT INTO client_identity_tokens')) {
            return { rows: [] };
        }

        return {
            rows: [
                {
                    customer_key: '(16) 99999-9999',
                    name: 'Cliente Com Historico',
                    phone: '(16) 99999-9999',
                    quantity_purchased: 1002,
                    total_spent: 50000,
                    order_count: 250,
                    last_purchase_date: '2026-06-15'
                }
            ]
        };
    };

    try {
        const clients = await getClientAnalytics({ start: '2026-05-01', end: '2026-06-15' });

        assert.equal(calls.length, 2);
        assert.equal(clients.length, 1);
        assert.equal(clients[0].customerKey, '(16) 99999-9999');
        assert.equal(clients[0].phone, '(16) 99999-9999');
        assert.match(calls[0].sql, /customer_phone_by_name AS/);
        assert.match(calls[0].sql, /ARRAY_AGG\(NULLIF\(cliente_fone, ''\) ORDER BY data_pedido_date DESC NULLS LAST, id DESC\)/);
        assert.match(calls[0].sql, /WHERE NULLIF\(cliente_fone, ''\) IS NOT NULL/);
        assert.match(calls[0].sql, /NULLIF\(orders\.cliente_fone, ''\),\s+customer_phone_by_name\.canonical_phone/s);
        assert.match(calls[0].sql, /FROM identity_orders/);
        assert.match(calls[0].sql, /GROUP BY customer_key/);
    } finally {
        pool.query = originalQuery;
    }
});

test('getClientFilterOptions returns all distinct order metadata options', async () => {
    const originalQuery = pool.query;
    const calls = [];

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        if (sql.includes('SELECT DISTINCT NULLIF(TRIM(marketplace)')) {
            return { rows: [{ value: 'Mercado Livre' }, { value: 'Shopee' }] };
        }

        if (sql.includes('SELECT DISTINCT NULLIF(TRIM(canal_venda)')) {
            return { rows: [{ value: 'Online' }] };
        }

        return {
            rows: [
                { id: 'VEN-1', name: 'Maria' },
                { id: '', name: 'Sem ID' },
                { id: '', name: 'KEDMA DA SILVA #977226210' },
                { id: 'VEN-1', name: 'Maria' }
            ]
        };
    };

    try {
        const options = await getClientFilterOptions({ start: '2026-06-01', end: '2026-06-15' });

        assert.equal(calls.length, 3);
        calls.forEach(call => {
            assert.deepEqual(call.params, []);
            assert.doesNotMatch(call.sql, /data_pedido_date >=/);
            assert.doesNotMatch(call.sql, /data_pedido_date <=/);
        });
        assert.match(calls[0].sql, /WHERE NULLIF\(TRIM\(marketplace\), ''\) IS NOT NULL/);
        assert.match(calls[2].sql, /WITH seller_options AS/);
        assert.match(calls[2].sql, /substring\(NULLIF\(TRIM\(nome_vendedor\), ''\) from/);
        assert.match(calls[2].sql, /regexp_replace\(COALESCE\(nome_vendedor, ''\)/);
        assert.match(calls[2].sql, /NULLIF\(TRIM\(nome_vendedor\), ''\) IS NOT NULL/);
        assert.deepEqual(options.marketplaces, ['Mercado Livre', 'Shopee']);
        assert.deepEqual(options.salesChannels, ['Online']);
        assert.deepEqual(options.sellers, [
            { value: 'id:VEN-1', id: 'VEN-1', name: 'Maria' },
            { value: 'name:Sem ID', id: '', name: 'Sem ID' },
            { value: 'id:977226210', id: '977226210', name: 'KEDMA DA SILVA' }
        ]);
    } finally {
        pool.query = originalQuery;
    }
});

test('getClientPurchasePatternAnalytics returns all-time weekday and hour counts', async () => {
    const originalQuery = pool.query;

    pool.query = async (sql, params = []) => {
        assert.deepEqual(params, []);
        assert.match(sql, /order_events AS/);
        assert.match(sql, /DISTINCT ON \(\s+customer_key,\s+COALESCE\(NULLIF\(pedido_id, ''\), data_pedido \|\| '_' \|\| valor_pedido::text\)\s+\)/);
        assert.match(sql, /EXTRACT\(DOW FROM data_pedido_date\)::int as weekday/);
        assert.match(sql, /EXTRACT\(HOUR FROM created_at AT TIME ZONE 'America\/Sao_Paulo'\)::int as hour/);

        return {
            rows: [
                { weekday: 1, hour: 9, order_count: 2 },
                { weekday: 5, hour: 18, order_count: 1 },
                { weekday: 5, hour: null, order_count: 1 }
            ]
        };
    };

    try {
        const pattern = await getClientPurchasePatternAnalytics();

        assert.equal(pattern.purchaseWeekdays.length, 7);
        assert.equal(pattern.purchaseHours.length, 24);
        assert.deepEqual(pattern.purchaseWeekdays[1], { label: 'Seg', value: 2 });
        assert.deepEqual(pattern.purchaseWeekdays[5], { label: 'Sex', value: 2 });
        assert.deepEqual(pattern.purchaseHours[9], { label: '09h', value: 2 });
        assert.deepEqual(pattern.purchaseHours[18], { label: '18h', value: 1 });
        assert.deepEqual(pattern.purchaseHours[0], { label: '00h', value: 0 });
    } finally {
        pool.query = originalQuery;
    }
});

test('getClientDetailsAnalytics resolves legacy name tokens to the canonical phone client', async () => {
    const originalQuery = pool.query;
    const calls = [];
    const clientToken = createClientToken('name:Cliente Sem Fone');

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        if (sql.includes('FROM client_identity_tokens')) {
            return { rows: [{ customer_key: 'name:Cliente Sem Fone' }] };
        }

        if (sql.includes('SELECT customer_key') && sql.includes('FROM identity_orders')) {
            return { rows: [{ customer_key: '(16) 99999-9999' }] };
        }

        if (sql.includes('all_time_order_count')) {
            return {
                rows: [{
                    name: 'Cliente Sem Fone',
                    phone: '(16) 99999-9999',
                    all_time_order_count: 3
                }]
            };
        }

        return {
            rows: [
                {
                    cliente_nome: 'Cliente Sem Fone',
                    cliente_fone: '',
                    data_pedido: '10-06-2026',
                    data_pedido_date: '2026-06-10',
                    valor_pedido: 25,
                    produto_id: 'produto-1',
                    produto_descricao: 'Produto A',
                    quantidade: 2,
                    valor_unitario: 10,
                    pedido_id: 'pedido-1'
                },
                {
                    cliente_nome: 'Cliente Sem Fone',
                    cliente_fone: '(16) 99999-9999',
                    data_pedido: '10-06-2026',
                    data_pedido_date: '2026-06-10',
                    valor_pedido: 25,
                    produto_id: 'produto-2',
                    produto_descricao: 'Produto B',
                    quantidade: 1,
                    valor_unitario: 5,
                    pedido_id: 'pedido-1'
                }
            ]
        };
    };

    try {
        const details = await getClientDetailsAnalytics(clientToken, { start: '2026-06-01', end: '2026-06-15' });

        assert.equal(calls.length, 5);
        assert.match(calls[0].sql, /FROM client_identity_tokens/);
        assert.deepEqual(calls[0].params, [clientToken]);
        assert.match(calls[1].sql, /SELECT customer_key/);
        assert.deepEqual(calls[1].params, ['Cliente Sem Fone']);
        assert.match(calls[2].sql, /FROM identity_orders/);
        assert.match(calls[2].sql, /WHERE customer_key = \$1/);
        assert.deepEqual(calls[2].params, ['(16) 99999-9999']);
        assert.match(calls[3].sql, /data_pedido_date >= \$2::date/);
        assert.match(calls[3].sql, /data_pedido_date <= \$3::date/);
        assert.deepEqual(calls[3].params, ['(16) 99999-9999', '2026-06-01', '2026-06-15']);
        assert.match(calls[4].sql, /created_at/);
        assert.doesNotMatch(calls[4].sql, /data_pedido_date >=/);
        assert.doesNotMatch(calls[4].sql, /data_pedido_date <=/);
        assert.deepEqual(calls[4].params, ['(16) 99999-9999']);
        assert.equal(details.clientName, 'Cliente Sem Fone');
        assert.equal(details.clientPhone, '(16) 99999-9999');
        assert.equal(details.allTimeOrderCount, 3);
        assert.equal(details.periodSpent, 25);
        assert.equal(details.periodItems, 3);
        assert.equal(details.periodOrderCount, 1);
        assert.equal(details.periodAverageTicket, 25);
        assert.deepEqual(details.chartData, [{ date: '10-06-2026', value: 25 }]);
        assert.equal(details.groupedOrders.length, 1);
        assert.equal(details.groupedOrders[0].orderTotal, 25);
        assert.equal(details.groupedOrders[0].items.length, 2);
    } finally {
        pool.query = originalQuery;
    }
});

test('getClientDetailsAnalytics groups single-day spend chart by hour', async () => {
    const originalQuery = pool.query;
    const clientToken = createClientToken('(16) 99999-9999');

    pool.query = async (sql, params = []) => {
        if (sql.includes('FROM client_identity_tokens')) {
            return { rows: [{ customer_key: '(16) 99999-9999' }] };
        }

        if (sql.includes('SELECT customer_key') && sql.includes('FROM identity_orders')) {
            return { rows: [{ customer_key: '(16) 99999-9999' }] };
        }

        if (sql.includes('all_time_order_count')) {
            return {
                rows: [{
                    name: 'Cliente Teste',
                    phone: '(16) 99999-9999',
                    all_time_order_count: 2
                }]
            };
        }

        assert.deepEqual(params[0], '(16) 99999-9999');
        return {
            rows: [
                {
                    cliente_nome: 'Cliente Teste',
                    cliente_fone: '(16) 99999-9999',
                    data_pedido: '22-06-2026',
                    data_pedido_date: '2026-06-22',
                    valor_pedido: 20,
                    produto_id: 'produto-1',
                    produto_descricao: 'Produto A',
                    quantidade: 2,
                    valor_unitario: 10,
                    pedido_id: 'pedido-1',
                    created_at: '2026-06-22T09:15:00.000-03:00'
                },
                {
                    cliente_nome: 'Cliente Teste',
                    cliente_fone: '(16) 99999-9999',
                    data_pedido: '22-06-2026',
                    data_pedido_date: '2026-06-22',
                    valor_pedido: 30,
                    produto_id: 'produto-2',
                    produto_descricao: 'Produto B',
                    quantidade: 1,
                    valor_unitario: 30,
                    pedido_id: 'pedido-2',
                    created_at: '2026-06-22T18:30:00.000-03:00'
                }
            ]
        };
    };

    try {
        const details = await getClientDetailsAnalytics(clientToken, { start: '2026-06-22', end: '2026-06-22' });

        assert.equal(details.chartData.length, 24);
        assert.deepEqual(details.chartData[9], { date: '09h', value: 20 });
        assert.deepEqual(details.chartData[18], { date: '18h', value: 30 });
        assert.equal(details.periodSpent, 50);
    } finally {
        pool.query = originalQuery;
    }
});

test('getClientDetailsAnalytics rejects invalid client tokens before querying', async () => {
    const originalQuery = pool.query;
    pool.query = async () => {
        throw new Error('invalid client token should not query');
    };

    try {
        assert.equal(await getClientDetailsAnalytics('not-a-token', { start: '2026-06-01', end: '2026-06-15' }), null);
    } finally {
        pool.query = originalQuery;
    }
});

test('getRfmAnalytics classifies period buyers by history through the selected range end', async () => {
    const originalConnect = pool.connect;
    const calls = [];
    const mockClient = {
        query: async (sql, params = []) => {
            calls.push({ sql, params });
            const isHistoryQuery = sql.includes('= ANY');
            const isPeriodQuery = sql.includes('FROM orders');
            const referenceDate = params[0];

            if (!isPeriodQuery) {
                return { rows: [] };
            }

            if (isHistoryQuery) {
                return {
                    rows: [
                        {
                            customer_key: '1',
                            name: 'Cliente Ontem',
                            phone: '1',
                            monetary: 5000,
                            frequency: 20,
                            quantity_purchased: 20,
                            last_purchase_date: '2026-06-14',
                            recency_days: referenceDate === '2026-06-14' ? 0 : 1,
                            frequency_score: 3,
                            monetary_score: 3
                        },
                        {
                            customer_key: '4',
                            name: 'Cliente Novo no Periodo',
                            phone: '4',
                            monetary: 25,
                            frequency: 1,
                            quantity_purchased: 1,
                            last_purchase_date: '2026-06-14',
                            recency_days: referenceDate === '2026-06-14' ? 0 : 1,
                            frequency_score: 1,
                            monetary_score: 1
                        },
                        {
                            customer_key: 'name:Cliente Sem Fone',
                            name: 'Cliente Sem Fone',
                            phone: null,
                            monetary: 1000,
                            frequency: 10,
                            quantity_purchased: 10,
                            last_purchase_date: '2026-06-14',
                            recency_days: referenceDate === '2026-06-14' ? 0 : 1,
                            frequency_score: 3,
                            monetary_score: 3
                        }
                    ]
                };
            }

            return {
                rows: [
                    {
                        customer_key: '1',
                        name: 'Cliente Ontem',
                        phone: '1',
                        monetary: 100,
                        frequency: 1,
                        quantity_purchased: 1,
                        last_purchase_date: '2026-06-14',
                        recency_days: 1
                    },
                    {
                        customer_key: '4',
                        name: 'Cliente Novo no Periodo',
                        phone: '4',
                        monetary: 25,
                        frequency: 1,
                        quantity_purchased: 1,
                        last_purchase_date: '2026-06-14',
                        recency_days: 1
                    },
                    {
                        customer_key: 'name:Cliente Sem Fone',
                        name: 'Cliente Sem Fone',
                        phone: null,
                        monetary: 30,
                        frequency: 1,
                        quantity_purchased: 1,
                        last_purchase_date: '2026-06-14',
                        recency_days: 1
                    }
                ]
            };
        },
        release: () => {}
    };
    pool.connect = async () => mockClient;

    try {
        const sevenDays = await getRfmAnalytics({ start: '2026-06-09', end: '2026-06-15' });
        const yesterday = await getRfmAnalytics({ start: '2026-06-14', end: '2026-06-14' });
        const selectCalls = calls.filter(call => call.sql.includes('FROM orders'));

        assert.match(calls[1].sql, /SET LOCAL statement_timeout/);
        assert.deepEqual(selectCalls[0].params, ['2026-06-09', '2026-06-15']);
        assert.doesNotMatch(selectCalls[0].sql, /WHERE\s+cliente_fone IS NOT NULL/);
        assert.match(selectCalls[0].sql, /FROM identity_orders/);
        assert.match(selectCalls[1].sql, /\(\$1::date - MAX\(data_pedido_date\)\)::int/);
        assert.match(selectCalls[1].sql, /data_pedido_date <= \$1::date/);
        assert.match(selectCalls[1].sql, /WHEN frequency <= 1 THEN 1/);
        assert.match(selectCalls[1].sql, /WHEN frequency <= 4 THEN 2/);
        assert.doesNotMatch(selectCalls[1].sql, /PERCENT_RANK\(\) OVER \(ORDER BY frequency\)/);
        assert.match(selectCalls[1].sql, /PERCENT_RANK\(\) OVER \(ORDER BY monetary\)/);
        assert.match(selectCalls[1].sql, /customer_key = ANY\(\$2::text\[\]\)/);
        assert.doesNotMatch(selectCalls[1].sql, /WHERE\s+cliente_fone IS NOT NULL/);
        assert.match(selectCalls[1].sql, /FROM identity_orders/);
        assert.deepEqual(selectCalls[1].params, ['2026-06-15', ['1', '4', 'name:Cliente Sem Fone']]);
        assert.deepEqual(selectCalls[2].params, ['2026-06-14', '2026-06-14']);
        assert.deepEqual(selectCalls[3].params, ['2026-06-14', ['1', '4', 'name:Cliente Sem Fone']]);
        assert.equal(sevenDays.clients[0].segmentKey, 'champions');
        assert.equal(yesterday.clients[0].segmentKey, 'champions');
        assert.equal(yesterday.clients[0].frequency, 1);
        assert.equal(yesterday.clients[0].monetary, 100);
        assert.equal(yesterday.clients.length, 3);
        assert.ok(!yesterday.clients.some(client => client.phone === '2'));
        assert.ok(yesterday.clients.some(client => client.phone === '4' && client.segmentKey === 'new_customers'));
        assert.ok(yesterday.clients.some(client => (
            client.customerKey === 'name:Cliente Sem Fone' &&
            client.phone === '' &&
            client.segmentKey === 'champions' &&
            client.monetary === 30
        )));
    } finally {
        pool.connect = originalConnect;
    }
});

test('getRfmAnalytics reuses client aggregate rows as RFV history for all-period ranges', async () => {
    const originalQuery = pool.query;
    const originalConnect = pool.connect;
    const calls = [];

    pool.query = async (sql, params = []) => {
        calls.push({ sql, params });

        if (sql.includes('INSERT INTO client_identity_tokens')) {
            return { rows: [] };
        }

        return {
            rows: [
                {
                    customer_key: '1',
                    name: 'Cliente Frequente',
                    phone: '1',
                    total_spent: 5000,
                    order_count: 20,
                    quantity_purchased: 20,
                    last_purchase_date: '2026-06-14'
                },
                {
                    customer_key: 'name:Cliente Sem Fone',
                    name: 'Cliente Sem Fone',
                    phone: null,
                    total_spent: 50,
                    order_count: 1,
                    quantity_purchased: 1,
                    last_purchase_date: '2026-01-01'
                }
            ]
        };
    };
    pool.connect = async () => {
        throw new Error('all-period RFV should not use a checked-out client');
    };

    try {
        const result = await getRfmAnalytics({ start: '2000-01-01', end: '2026-06-15' });

        assert.equal(calls.length, 2);
        assert.match(calls[0].sql, /GROUP BY customer_key/);
        assert.doesNotMatch(calls[0].sql, /recency_days/);
        assert.doesNotMatch(calls[0].sql, /data_pedido_date >=/);
        assert.deepEqual(calls[0].params, ['2026-06-15']);
        assert.match(calls[1].sql, /INSERT INTO client_identity_tokens/);
        assert.equal(result.clients.length, 2);
        assert.equal(result.segments.reduce((total, segment) => total + segment.count, 0), 2);
        assert.ok(result.clients.some(client => client.customerKey === 'name:Cliente Sem Fone' && client.phone === ''));
    } finally {
        pool.query = originalQuery;
        pool.connect = originalConnect;
    }
});