feat: Implement initial API backend with a comprehensive PostgreSQL schema, Express application, and data synchronization for articles and ranking.

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Michael committed 2026-03-21 10:01:02 +01:00
1 parent e189cc3045
commit 9675a243b7
4 files changed
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@@ -153,4 +153,103 @@ router.get('/ca/gamme', async (req, res) => {
}
});
// GET /api/performance/dashboard?date=2026-03-20&site=
// CA + trafic du jour vs N-1 + top 10 CA / qté / marge
router.get('/dashboard', async (req, res) => {
try {
const pool = getPool();
const { date, site = '' } = req.query;
const targetDate = date || new Date(Date.now() - 86400000).toISOString().slice(0, 10);
const n1Date = new Date(targetDate);
n1Date.setFullYear(n1Date.getFullYear() - 1);
const n1DateStr = n1Date.toISOString().slice(0, 10);
const siteFilter = site ? `AND site = $3` : '';
const siteParams = site ? [targetDate, n1DateStr, site] : [targetDate, n1DateStr];
const [caRows, top10CA, top10Qte, top10Marge] = await Promise.all([
// CA + trafic N et N-1
pool.query(`
SELECT site, datmvt::DATE AS date, mnt AS ca_ttc, nbticket AS trafic
FROM statopca
WHERE datmvt IN ($1, $2) ${siteFilter}
ORDER BY site, datmvt
`, siteParams),
// Top 10 CA
pool.query(`
SELECT a.codein, a.libelle1, m.site,
ABS(SUM(m.mntmvtttc)) AS ca_ttc,
ABS(SUM(m.qtemvt)) AS qte_vendue,
SUM(m.margemvt) AS marge
FROM mvtart m
JOIN articles a ON a.no_id = m.artnoid
WHERE m.datmvt::DATE = $1 AND m.genremvt = 3 ${site ? 'AND m.site = $2' : ''}
GROUP BY a.codein, a.libelle1, m.site
ORDER BY ca_ttc DESC LIMIT 10
`, site ? [targetDate, site] : [targetDate]),
// Top 10 Qté
pool.query(`
SELECT a.codein, a.libelle1, m.site,
ABS(SUM(m.mntmvtttc)) AS ca_ttc,
ABS(SUM(m.qtemvt)) AS qte_vendue,
SUM(m.margemvt) AS marge
FROM mvtart m
JOIN articles a ON a.no_id = m.artnoid
WHERE m.datmvt::DATE = $1 AND m.genremvt = 3 ${site ? 'AND m.site = $2' : ''}
GROUP BY a.codein, a.libelle1, m.site
ORDER BY qte_vendue DESC LIMIT 10
`, site ? [targetDate, site] : [targetDate]),
// Top 10 Marge
pool.query(`
SELECT a.codein, a.libelle1, m.site,
ABS(SUM(m.mntmvtttc)) AS ca_ttc,
ABS(SUM(m.qtemvt)) AS qte_vendue,
SUM(m.margemvt) AS marge
FROM mvtart m
JOIN articles a ON a.no_id = m.artnoid
WHERE m.datmvt::DATE = $1 AND m.genremvt = 3 ${site ? 'AND m.site = $2' : ''}
GROUP BY a.codein, a.libelle1, m.site
ORDER BY marge DESC LIMIT 10
`, site ? [targetDate, site] : [targetDate]),
]);
// Construire la comparaison N vs N-1 par site
const byDate = {};
for (const row of caRows.rows) {
const d = row.date instanceof Date ? row.date.toISOString().slice(0, 10) : String(row.date).slice(0, 10);
if (!byDate[row.site]) byDate[row.site] = {};
byDate[row.site][d] = { ca_ttc: parseFloat(row.ca_ttc) || 0, trafic: row.trafic || 0 };
}
const sites = Object.keys(byDate).sort().map(s => {
const n = byDate[s]?.[targetDate] || { ca_ttc: 0, trafic: 0 };
const n1 = byDate[s]?.[n1DateStr] || { ca_ttc: 0, trafic: 0 };
const evolCa = n1.ca_ttc > 0 ? Math.round((n.ca_ttc / n1.ca_ttc - 1) * 1000) / 10 : null;
const evolTrafic = n1.trafic > 0 ? Math.round((n.trafic / n1.trafic - 1) * 1000) / 10 : null;
return {
site: s,
ca_ttc: n.ca_ttc, ca_ttc_n1: n1.ca_ttc,
evol_ca: evolCa !== null ? `${evolCa > 0 ? '+' : ''}${evolCa}%` : null,
trafic: n.trafic, trafic_n1: n1.trafic,
evol_trafic: evolTrafic !== null ? `${evolTrafic > 0 ? '+' : ''}${evolTrafic}%` : null,
};
});
res.json({
date: targetDate,
date_n1: n1DateStr,
sites,
top10_ca: top10CA.rows,
top10_qte: top10Qte.rows,
top10_marge: top10Marge.rows,
});
} catch (err) {
res.status(500).json({ error: err.message });
}
});
module.exports = router;