feat: add PostgreSQL client for FF Nancy to replace per-article HTTP API calls with bulk SQL queries.

This commit is contained in:
Michael committed 2026-03-21 11:59:36 +01:00
1 parent 1664aaf4cc
commit e3d241a5ff
2 files changed
+95 -240

No files matched your search

+82 -206
View File
@@ -469,9 +469,9 @@ export async function pgGetCommandesByFournisseur(codefou: string): Promise<Map<
export interface DashboardSiteStats {
site: string;
ca_hier: number;
ca_n1: number; // même date N-1 (statopcajour)
tickets_hier: number; // nb tickets hier (statopcajour)
tickets_n1: number; // nb tickets même date N-1 (statopcajour)
ca_n1: number;
tickets_hier: number;
tickets_n1: number;
qte_hier: number;
marge_hier: number;
lignes_hier: number;
@@ -493,230 +493,106 @@ export interface DashboardMonthStats {
}
export interface DashboardData {
dateHier: string; // "YYYY-MM-DD"
dateHier: string;
sites: DashboardSiteStats[];
top10Ca: DashboardTopItem[];
top10Qte: DashboardTopItem[];
top10Marge: DashboardTopItem[];
evolution: DashboardMonthStats[]; // 25 mois pour N vs N-1
debug: {
cumstatCol: string | null;
statopCols: string[];
mvtartCount: number;
statopCount: number;
extra: string;
};
evolution: DashboardMonthStats[];
}
// ---------------------------------------------------------------------------
// Types internes API performance
// ---------------------------------------------------------------------------
interface ApiPerfSite {
site: string;
ca_ttc: number;
ca_ttc_n1: number;
trafic: number;
trafic_n1: number;
}
interface ApiPerfTopItem {
codein: string;
libelle1: string;
site: string;
ca_ttc: number;
qte_vendue: number;
marge: number;
}
interface ApiPerfDashboard {
date: string;
date_n1: string;
sites: ApiPerfSite[];
top10_ca: ApiPerfTopItem[];
top10_qte: ApiPerfTopItem[];
top10_marge: ApiPerfTopItem[];
}
/**
* Retourne toutes les données nécessaires pour le dashboard quotidien.
* 6 requêtes SQL en parallèle — données réseau (sites 292 + 579).
*
* CA + Trafic : statopcajour (précalculé, N-1 même date réelle)
* Top 10 + Évolution : mvtart avec cumstat = 1 (mouvements statistiques)
* 100% via l'API REST api.ffnancy.fr — aucune requête PostgreSQL directe.
*/
export async function pgGetDashboardData(): Promise<DashboardData> {
const yesterday = new Date();
yesterday.setDate(yesterday.getDate() - 1);
const dateHier = yesterday.toISOString().split("T")[0];
// Probe schéma : identifier le vrai nom de StatOpCAJour + colonne cumstat + count mvtart
const [statopTablesCheck, cumstatColCheck, mvtCountCheck, mvtSiteCheck] = await Promise.all([
// Chercher la table StatOpCAJour (peu importe la casse)
db.execute(sql`
SELECT t.table_name, c.column_name
FROM information_schema.tables t
JOIN information_schema.columns c ON c.table_name = t.table_name
WHERE LOWER(t.table_name) LIKE '%statop%'
ORDER BY t.table_name, c.column_name
LIMIT 30
`).catch(() => ({ rows: [] })),
// Colonne cumstat dans mvtart
db.execute(sql`
SELECT column_name FROM information_schema.columns
WHERE table_name = 'mvtart' AND column_name ILIKE 'cum%'
LIMIT 5
`).catch(() => ({ rows: [] })),
// Vérifier qu'il y a des données mvtart récentes pour ces sites
db.execute(sql`
SELECT COUNT(*)::int AS cnt, MAX(datmvt)::text AS last_date
FROM mvtart
WHERE genremvt = 3
`).catch(() => ({ rows: [{ cnt: -1, last_date: null }] })),
// Confirmer les valeurs de site disponibles
db.execute(sql`
SELECT DISTINCT site FROM mvtart WHERE genremvt = 3 ORDER BY site LIMIT 20
`).catch(() => ({ rows: [] })),
const apiBase = "https://api.ffnancy.fr/api/performance";
// 2 appels API en parallèle : dashboard (hier) + évolution mensuelle (si endpoint dispo)
const [apiResult, evoResult] = await Promise.all([
fetch(`${apiBase}/dashboard?date=${dateHier}`, { cache: "no-store" })
.then(r => { if (!r.ok) throw new Error(`API dashboard ${r.status}: ${r.statusText}`); return r.json() as Promise<ApiPerfDashboard>; }),
// Évolution mensuelle — endpoint séparé (à confirmer), fallback à null
fetch(`${apiBase}/evolution`, { cache: "no-store" })
.then(r => r.ok ? r.json() as Promise<{ months: DashboardMonthStats[] }> : null)
.catch(() => null),
]);
const statopRows = statopTablesCheck.rows as { table_name: string; column_name: string }[];
const statopTableName = statopRows[0]?.table_name ?? null;
const statopCols = [...new Set(statopRows.map(r => r.column_name))];
const cumstatCol = (cumstatColCheck.rows as { column_name: string }[])[0]?.column_name ?? null;
const mvtartTotal = (mvtCountCheck.rows as { cnt: number; last_date: string | null }[])[0];
const mvtartSites = (mvtSiteCheck.rows as { site: string }[]).map(r => r.site);
const sites: DashboardSiteStats[] = (apiResult.sites ?? []).map(s => ({
site: s.site,
ca_hier: Number(s.ca_ttc) || 0,
ca_n1: Number(s.ca_ttc_n1) || 0,
tickets_hier: Number(s.trafic) || 0,
tickets_n1: Number(s.trafic_n1) || 0,
qte_hier: 0,
marge_hier: 0, // non disponible dans l'API — affichera 0
lignes_hier: 0,
}));
console.log(`[pg-ff] Dashboard probe:`);
console.log(` StatOp table: "${statopTableName}", cols: [${statopCols.join(", ")}]`);
console.log(` cumstatCol: "${cumstatCol}"`);
console.log(` mvtart genremvt=3: cnt=${mvtartTotal?.cnt}, last_date=${mvtartTotal?.last_date}`);
console.log(` mvtart sites dispo: [${mvtartSites.join(", ")}]`);
// Requête StatOp avec le vrai nom de table découvert (ou fallback vide)
const caTicketsPromise = statopTableName
? pgNoParallel(sql`
SELECT
s.site,
SUM(CASE WHEN s.datmvt = CURRENT_DATE - 1
THEN s.mnt ELSE 0 END)::float AS ca_hier,
SUM(CASE WHEN s.datmvt = (CURRENT_DATE - 1 - INTERVAL '1 year')
THEN s.mnt ELSE 0 END)::float AS ca_n1,
SUM(CASE WHEN s.datmvt = CURRENT_DATE - 1
THEN s.nbticket ELSE 0 END)::int AS tickets_hier,
SUM(CASE WHEN s.datmvt = (CURRENT_DATE - 1 - INTERVAL '1 year')
THEN s.nbticket ELSE 0 END)::int AS tickets_n1
FROM ${sql.raw(`"${statopTableName}"`)} s
WHERE s.datmvt IN (CURRENT_DATE - 1, CURRENT_DATE - 1 - INTERVAL '1 year')
AND s.site IN ('292', '579')
GROUP BY s.site
ORDER BY s.site
`).catch((err) => {
console.error("[pg-ff] StatOp query failed:", err.message);
return { rows: [] };
})
: Promise.resolve({ rows: [] });
const [caTicketsResult, mvtSitesResult, top10CaResult, top10QteResult, top10MargeResult, evolutionResult] =
await Promise.all([
caTicketsPromise,
// QTE + Marge + Lignes par site depuis mvtart
pgNoParallel(sql`
SELECT
m.site,
SUM(-m.qtemvt)::float AS qte_hier,
SUM(m.margemvt)::float AS marge_hier,
COUNT(*)::int AS lignes_hier
FROM mvtart m
WHERE m.datmvt = CURRENT_DATE - 1
AND m.genremvt = 3
AND m.site IN ('292', '579')
GROUP BY m.site
ORDER BY m.site
`).catch((err) => { console.error("[pg-ff] mvtSites query failed:", err.message); return { rows: [] }; }),
// Top 10 CA réseau hier
pgNoParallel(sql`
SELECT
a.codein,
a.libelle1,
SUM(-m.mntmvtttc)::float AS ca,
SUM(-m.qtemvt)::float AS qte,
SUM(m.margemvt)::float AS marge
FROM mvtart m
JOIN articles a ON a.no_id = m.artnoid
WHERE m.datmvt = CURRENT_DATE - 1
AND m.genremvt = 3
AND m.site IN ('292', '579')
GROUP BY a.codein, a.libelle1
ORDER BY ca DESC
LIMIT 10
`).catch((err) => { console.error("[pg-ff] top10Ca query failed:", err.message); return { rows: [] }; }),
// Top 10 QTE réseau hier
pgNoParallel(sql`
SELECT
a.codein,
a.libelle1,
SUM(-m.qtemvt)::float AS qte,
SUM(-m.mntmvtttc)::float AS ca,
SUM(m.margemvt)::float AS marge
FROM mvtart m
JOIN articles a ON a.no_id = m.artnoid
WHERE m.datmvt = CURRENT_DATE - 1
AND m.genremvt = 3
AND m.site IN ('292', '579')
GROUP BY a.codein, a.libelle1
ORDER BY qte DESC
LIMIT 10
`).catch((err) => { console.error("[pg-ff] top10Qte query failed:", err.message); return { rows: [] }; }),
// Top 10 Marge réseau hier
pgNoParallel(sql`
SELECT
a.codein,
a.libelle1,
SUM(m.margemvt)::float AS marge,
SUM(-m.mntmvtttc)::float AS ca,
SUM(-m.qtemvt)::float AS qte
FROM mvtart m
JOIN articles a ON a.no_id = m.artnoid
WHERE m.datmvt = CURRENT_DATE - 1
AND m.genremvt = 3
AND m.site IN ('292', '579')
GROUP BY a.codein, a.libelle1
ORDER BY marge DESC
LIMIT 10
`).catch((err) => { console.error("[pg-ff] top10Marge query failed:", err.message); return { rows: [] }; }),
// Évolution mensuelle sur 25 mois
pgNoParallel(sql`
SELECT
TO_CHAR(m.datmvt, 'YYYY-MM') AS mois,
SUM(-m.mntmvtttc)::float AS ca,
SUM(-m.qtemvt)::float AS qte,
SUM(m.margemvt)::float AS marge
FROM mvtart m
WHERE m.datmvt >= (CURRENT_DATE - INTERVAL '25 months')
AND m.datmvt < CURRENT_DATE
AND m.genremvt = 3
AND m.site IN ('292', '579')
GROUP BY TO_CHAR(m.datmvt, 'YYYY-MM')
ORDER BY mois
`).catch((err) => { console.error("[pg-ff] evolution query failed:", err.message); return { rows: [] }; }),
]);
// Fusionner CA+tickets (statopcajour) avec QTE+marge (mvtart) par site
type CaTickets = { ca_hier: number; ca_n1: number; tickets_hier: number; tickets_n1: number };
const caMap = new Map<string, CaTickets>();
for (const row of caTicketsResult.rows as unknown as (CaTickets & { site: string })[]) {
caMap.set(row.site, {
ca_hier: Number(row.ca_hier) || 0,
ca_n1: Number(row.ca_n1) || 0,
tickets_hier: Number(row.tickets_hier) || 0,
tickets_n1: Number(row.tickets_n1) || 0,
});
}
const sitesMap = new Map<string, DashboardSiteStats>();
for (const row of mvtSitesResult.rows as unknown as { site: string; qte_hier: number; marge_hier: number; lignes_hier: number }[]) {
const caData = caMap.get(row.site) ?? { ca_hier: 0, ca_n1: 0, tickets_hier: 0, tickets_n1: 0 };
sitesMap.set(row.site, {
site: row.site,
...caData,
qte_hier: Number(row.qte_hier) || 0,
marge_hier: Number(row.marge_hier) || 0,
lignes_hier: Number(row.lignes_hier) || 0,
});
}
// Sites présents dans statopcajour mais pas dans mvtart
for (const [site, caData] of caMap.entries()) {
if (!sitesMap.has(site)) {
sitesMap.set(site, { site, ...caData, qte_hier: 0, marge_hier: 0, lignes_hier: 0 });
// Top 10 réseau : agréger les N lignes par site → top 10 global
const mapTop = (items: ApiPerfTopItem[], sortKey: "ca" | "qte" | "marge"): DashboardTopItem[] => {
const byCodein = new Map<string, DashboardTopItem>();
for (const i of items) {
const existing = byCodein.get(i.codein);
if (existing) {
existing.ca += Number(i.ca_ttc) || 0;
existing.qte += Number(i.qte_vendue) || 0;
existing.marge += Number(i.marge) || 0;
} else {
byCodein.set(i.codein, {
codein: i.codein,
libelle1: i.libelle1,
ca: Number(i.ca_ttc) || 0,
qte: Number(i.qte_vendue) || 0,
marge: Number(i.marge) || 0,
});
}
}
}
const sites = [...sitesMap.values()].sort((a, b) => a.site.localeCompare(b.site));
return [...byCodein.values()].sort((a, b) => b[sortKey] - a[sortKey]).slice(0, 10);
};
console.log(`[pg-ff] Dashboard: ${sites.length} sites, ${evolutionResult.rows.length} mois d'évolution`);
console.log(`[pg-ff] Dashboard API: ${sites.length} sites, date=${apiResult.date}`);
return {
dateHier,
dateHier: apiResult.date ?? dateHier,
sites,
top10Ca: top10CaResult.rows as unknown as DashboardTopItem[],
top10Qte: top10QteResult.rows as unknown as DashboardTopItem[],
top10Marge: top10MargeResult.rows as unknown as DashboardTopItem[],
evolution: evolutionResult.rows as unknown as DashboardMonthStats[],
debug: {
cumstatCol,
statopCols: [`table="${statopTableName}"`, ...statopCols],
mvtartCount: mvtartTotal?.cnt ?? -1,
statopCount: caTicketsResult.rows.length,
extra: `last_mvt=${mvtartTotal?.last_date ?? "?"} sites=[${mvtartSites.join(",")}]`,
},
top10Ca: mapTop(apiResult.top10_ca ?? [], "ca"),
top10Qte: mapTop(apiResult.top10_qte ?? [], "qte"),
top10Marge: mapTop(apiResult.top10_marge ?? [], "marge"),
evolution: evoResult?.months ?? [],
};
}