mirror of
https://github.com/R0m1k3/CollectFlow.git
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619 lines
24 KiB
TypeScript
619 lines
24 KiB
TypeScript
/**
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* CollectFlow — Client PostgreSQL FF Nancy
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*
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* Remplace les appels HTTP per-article vers api.ffnancy.fr par des requêtes
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* SQL bulk directes sur la base PostgreSQL FF Nancy.
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*
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* Chaque fonction fait 1 seule requête filtrée par codefou — O(1) au lieu de O(N).
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*/
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import { db } from "@/db";
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import { sql, type SQL } from "drizzle-orm";
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// Cache module-level pour éviter les requêtes information_schema répétées
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let _nomenclatureParentCol: string | null | undefined = undefined; // undefined = pas encore chargé
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// ---------------------------------------------------------------------------
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// Utilitaire : exécuter une requête sans workers parallèles PostgreSQL.
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// Les workers parallèles consomment /dev/shm (mémoire partagée Docker) et font
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// échouer les requêtes si le conteneur a un shm_size insuffisant.
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// SET LOCAL s'applique uniquement à la transaction courante.
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// ---------------------------------------------------------------------------
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async function pgNoParallel(query: SQL): Promise<{ rows: unknown[] }> {
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let rows: unknown[] = [];
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await db.transaction(async (tx) => {
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await tx.execute(sql`SET LOCAL max_parallel_workers_per_gather = 0`);
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const r = await tx.execute(query);
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rows = r.rows;
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});
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return { rows };
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}
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// ---------------------------------------------------------------------------
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// Types résultats SQL
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// ---------------------------------------------------------------------------
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export interface PgArticle {
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no_id: number;
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codein: string;
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codefou: string;
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nomfou?: string;
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libelle1?: string;
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pcb?: number;
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reference?: string;
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ean13?: string;
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gtin?: string; // art_gtin.gtin (préférentiel)
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pv_central?: number; // article_infosup.prix_vente_mini
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pa?: number; // cube_pa.pa
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}
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export interface PgMensuelRow {
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codein: string;
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site: string;
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mois: string; // "YYYY-MM"
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qte_vendue: number;
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ca_ht: number; // mntmvtttc (à vérifier si HT ou TTC)
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marge: number;
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stock_fin_mois: number; // MAX(qtestock) sur le mois
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qte_recue: number;
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}
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export interface PgStockRow {
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codein: string;
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site: string;
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stockdispo: number;
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qte: number;
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valstock: number;
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prmp: number;
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dernierevente?: string;
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dernierereception?: string;
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}
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export interface PgRankingRow {
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codein: string;
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site: string;
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ranking_ca?: number;
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ranking_qte?: number;
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ranking_mag_ca?: number;
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ranking_mag_qte?: number;
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}
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// ---------------------------------------------------------------------------
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// 0. Liste des fournisseurs
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// ---------------------------------------------------------------------------
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/**
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* Retourne la liste des fournisseurs depuis fouadr1 + artfou1.
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*/
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export async function pgGetFournisseurs(search?: string): Promise<{ code: string; nom: string }[]> {
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try {
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const result = await db.execute(sql`
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SELECT DISTINCT fa.code, fa.raisonsociale AS nom
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FROM fouadr1 fa
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INNER JOIN artfou1 af ON af.code = fa.code
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WHERE fa.sit_code = '000'
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AND fa.raisonsociale IS NOT NULL
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AND fa.raisonsociale !~ '^\s*\d'
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${search ? sql`AND (fa.raisonsociale ILIKE ${'%' + search + '%'} OR fa.code ILIKE ${'%' + search + '%'})` : sql``}
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ORDER BY fa.raisonsociale
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`);
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console.log(`[pg-ff] pgGetFournisseurs: ${result.rows.length} fournisseurs`);
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return (result.rows as unknown as { code: string; nom: string }[]).filter(r => r.code && r.nom);
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} catch (e) {
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console.error("[pg-ff] pgGetFournisseurs error:", (e as Error).message?.slice(0, 200));
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return [];
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}
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}
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// ---------------------------------------------------------------------------
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// 1. Articles du fournisseur
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// ---------------------------------------------------------------------------
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/**
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* Retourne tous les articles d'un fournisseur avec leurs métadonnées.
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* 1 seule requête SQL — remplace getArticlesByFournisseur() + per-article fetches.
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*/
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export async function pgGetArticlesByFournisseur(codefou: string): Promise<PgArticle[]> {
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// DISTINCT ON (a.no_id) car artfou1 peut avoir plusieurs lignes par article/fournisseur.
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// Pas de filtre "actif" : on retourne tous les articles pour ne pas exclure les articles
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// d'une session précédente (snapshot) qui n'ont pas de gamme DB ni de ventes récentes.
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// Le filtrage gamme-Y sans ventes est fait en aval dans getProductRows (Phase 10).
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const result = await pgNoParallel(sql`
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SELECT DISTINCT ON (a.no_id)
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a.no_id,
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a.codein,
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af.code AS codefou,
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fa.raisonsociale AS nomfou,
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a.libelle1,
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af.pcb,
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af.reference,
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af.ean13,
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COALESCE(ag.gtin, af.ean13) AS gtin,
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ai.prix_vente_mini AS pv_central,
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pa.pa
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FROM artfou1 af
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JOIN articles a ON a.no_id = af.art_no_id
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LEFT JOIN fouadr1 fa ON fa.code = af.code AND fa.sit_code = '000'
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LEFT JOIN article_infosup ai ON ai.artnoid = a.no_id
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LEFT JOIN cube_pa pa ON pa.artnoid = a.no_id
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LEFT JOIN art_gtin ag ON ag.idarticle = a.no_id AND ag.preferentiel = 1
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WHERE af.code = ${codefou}
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AND a.codein IS NOT NULL
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ORDER BY a.no_id, af.no_id
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`);
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console.log(`[pg-ff] Articles: ${result.rows.length} pour ${codefou}`);
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return (result.rows as unknown as PgArticle[]).filter(r => r.codein);
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}
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// ---------------------------------------------------------------------------
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// 2. Données mensuelles (ventes + stock + réceptions)
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// ---------------------------------------------------------------------------
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/**
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* Retourne les données mensuelles agrégées par (codein, site, mois).
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* 1 seule requête SQL — remplace getMensuelByArticles() (N appels HTTP).
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*
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* genremvt = 3 → ventes clients
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* genremvt 1/2 → réceptions (à confirmer selon nomenclature FF Nancy)
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* qtestock → stock après mouvement (MAX du mois ≈ stock fin de mois)
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*/
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export async function pgGetMensuelByFournisseur(
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codefou: string,
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dateDebut: string,
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dateFin: string
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): Promise<PgMensuelRow[]> {
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// IMPORTANT : utiliser DISTINCT sur artfou1 pour éviter les doublons de mouvements.
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// Un article peut avoir plusieurs lignes artfou1 pour le même fournisseur (pcb/ref différents),
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// ce qui multiplierait chaque mouvement et gonflerait les totaux.
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//
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// stock_fin_mois = qtestock du DERNIER mouvement du mois (tri par datmvt DESC).
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// MAX(qtestock) donnait le stock de début de mois (avant les premières ventes), ce qui était faux.
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const result = await pgNoParallel(sql`
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WITH base AS (
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SELECT
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a.codein,
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m.site,
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TO_CHAR(m.datmvt, 'YYYY-MM') AS mois,
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m.qtemvt,
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m.mntmvtttc,
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m.margemvt,
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m.genremvt,
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m.qtestock,
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ROW_NUMBER() OVER (
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PARTITION BY a.codein, m.site, TO_CHAR(m.datmvt, 'YYYY-MM')
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ORDER BY m.datmvt DESC
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) AS rn_last
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FROM mvtart m
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JOIN articles a ON a.no_id = m.artnoid
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JOIN (SELECT DISTINCT art_no_id FROM artfou1 WHERE code = ${codefou}) af
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ON af.art_no_id = a.no_id
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WHERE m.datmvt BETWEEN ${dateDebut}::date AND ${dateFin}::date
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AND m.site IN ('292', '579')
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)
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SELECT
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codein,
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site,
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mois,
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SUM(CASE WHEN genremvt = 3 THEN -qtemvt ELSE 0 END)::float AS qte_vendue,
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SUM(CASE WHEN genremvt = 3 THEN -mntmvtttc ELSE 0 END)::float AS ca_ht,
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SUM(CASE WHEN genremvt = 3 THEN margemvt ELSE 0 END)::float AS marge,
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MAX(CASE WHEN rn_last = 1 THEN qtestock ELSE NULL END)::float AS stock_fin_mois,
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SUM(CASE WHEN genremvt IN (1, 2) THEN qtemvt ELSE 0 END)::float AS qte_recue
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FROM base
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GROUP BY codein, site, mois
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ORDER BY codein, site, mois
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`);
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return result.rows as unknown as PgMensuelRow[];
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}
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// ---------------------------------------------------------------------------
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// 3. Gammes (saison active)
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// ---------------------------------------------------------------------------
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/**
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* Retourne la gamme courante (saison active) pour chaque article du fournisseur.
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* 1 requête SQL — remplace getReferentielByArticles() pour la partie gammes.
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*/
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export async function pgGetGammesByFournisseur(codefou: string): Promise<Map<string, string>> {
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// DISTINCT ON (codein) → 1 gamme par article, saison la plus récente en premier
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// saisons n'a PAS de colonne "actif" → pas de filtre actif
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const result = await pgNoParallel(sql`
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SELECT DISTINCT ON (a.codein)
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a.codein,
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g.code AS gamme_code
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FROM art_gamme_saison ags
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JOIN articles a ON a.no_id = ags.artnoid
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JOIN artfou1 af ON af.art_no_id = a.no_id AND af.code = ${codefou}
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JOIN gammes g ON g.no_id = ags.idgamme
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JOIN saisons s ON s.no_id = ags.idsaison
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ORDER BY a.codein, s.no_id DESC
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`);
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const map = new Map<string, string>();
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for (const row of result.rows as unknown as { codein: string; gamme_code: string }[]) {
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if (row.codein && row.gamme_code) map.set(row.codein, String(row.gamme_code).trim());
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}
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if (result.rows.length > 0) {
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console.log("[pg-ff] Gammes sample row:", JSON.stringify(result.rows[0]));
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}
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console.log(`[pg-ff] Gammes: ${map.size} articles avec gamme`);
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return map;
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}
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// ---------------------------------------------------------------------------
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// 4. Nomenclature (famille / sous-famille)
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// ---------------------------------------------------------------------------
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export interface PgNomRow {
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codein: string;
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code3: string; // code feuille (ex: "360504")
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libelle3: string; // libellé feuille
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code2?: string; // famille (4 chiffres)
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libelle2?: string;
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code1?: string; // secteur (2 chiffres)
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libelle1nom?: string;
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}
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/**
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* Retourne la nomenclature (famille/sous-famille) pour chaque article du fournisseur.
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* FK confirmée : articles.nom_no_id → nomenclature.no_id
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* Colonnes confirmées : nomenclature.code, nomenclature.libelle
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* Colonne parent : découverte dynamiquement via information_schema
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*/
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export async function pgGetNomenclatureByFournisseur(codefou: string): Promise<Map<string, PgNomRow>> {
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// Découverte de la colonne parent : mise en cache module-level (1 seule fois par process)
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if (_nomenclatureParentCol === undefined) {
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const metaResult = await db.execute(sql`
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SELECT column_name, data_type FROM information_schema.columns
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WHERE table_name = 'nomenclature' ORDER BY ordinal_position
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`);
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const nomCols = (metaResult.rows as { column_name: string; data_type: string }[]);
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console.log("[pg-ff] Nomenclature colonnes:", nomCols.map(r => `${r.column_name}(${r.data_type})`).join(", "));
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// Cherche une colonne "parent" qui soit un entier (FK vers no_id du parent)
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// "chemin_pere" = chemin vers le père en français
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// On vérifie le data_type : integer/bigint/smallint uniquement (pas text/varchar qui serait un chemin matérialisé)
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const parentRow = nomCols.find(r =>
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(/parent|pere|father/i.test(r.column_name) || (r.column_name !== "no_id" && /no_id$/i.test(r.column_name)))
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&& /int|serial/i.test(r.data_type)
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);
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_nomenclatureParentCol = parentRow?.column_name ?? null;
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console.log("[pg-ff] Nomenclature parentCol:", _nomenclatureParentCol);
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}
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const parentCol = _nomenclatureParentCol;
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let result;
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if (parentCol) {
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result = await pgNoParallel(sql`
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SELECT
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a.codein,
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n3.code AS code3,
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n3.libelle AS libelle3,
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n2.code AS code2,
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n2.libelle AS libelle2,
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n1.code AS code1,
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n1.libelle AS libelle1nom
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FROM artfou1 af
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JOIN articles a ON a.no_id = af.art_no_id AND af.code = ${codefou}
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JOIN nomenclature n3 ON n3.no_id = a.nom_no_id
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LEFT JOIN nomenclature n2 ON n2.no_id = n3.${sql.raw(parentCol)}
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LEFT JOIN nomenclature n1 ON n1.no_id = n2.${sql.raw(parentCol)}
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WHERE a.codein IS NOT NULL
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`);
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} else {
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// Sans hiérarchie : juste le niveau feuille
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result = await pgNoParallel(sql`
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SELECT
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a.codein,
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n3.code AS code3,
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n3.libelle AS libelle3
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FROM artfou1 af
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JOIN articles a ON a.no_id = af.art_no_id AND af.code = ${codefou}
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JOIN nomenclature n3 ON n3.no_id = a.nom_no_id
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WHERE a.codein IS NOT NULL
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`);
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}
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console.log(`[pg-ff] Nomenclature: ${result.rows.length} articles, parentCol="${parentCol ?? "none"}"`);
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if (result.rows.length > 0) console.log("[pg-ff] Nomenclature sample:", JSON.stringify(result.rows[0]));
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return buildNomMap(result.rows as unknown as PgNomRow[]);
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}
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function buildNomMap(rows: PgNomRow[]): Map<string, PgNomRow> {
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const map = new Map<string, PgNomRow>();
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for (const r of rows) {
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if (r.codein) map.set(r.codein, r);
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}
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return map;
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}
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// ---------------------------------------------------------------------------
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// 5. Stock temps réel (cube_stock)
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// ---------------------------------------------------------------------------
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/**
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* Retourne le stock actuel par site pour chaque article du fournisseur.
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* 1 requête SQL — remplace la partie stock du référentiel.
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*/
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export async function pgGetStockByFournisseur(codefou: string): Promise<Map<string, PgStockRow[]>> {
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const result = await pgNoParallel(sql`
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SELECT
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a.codein,
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cs.site,
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cs.stockdispo::float,
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cs.qte::float,
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cs.valstock::float,
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cs.prmp::float,
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cs.dernierevente::text,
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cs.dernierereception::text
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FROM cube_stock cs
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JOIN articles a ON a.no_id = cs.artnoid
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JOIN (SELECT DISTINCT art_no_id FROM artfou1 WHERE code = ${codefou}) af
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ON af.art_no_id = a.no_id
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`);
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const map = new Map<string, PgStockRow[]>();
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for (const row of result.rows as unknown as PgStockRow[]) {
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if (!map.has(row.codein)) map.set(row.codein, []);
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map.get(row.codein)!.push(row);
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}
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return map;
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}
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// ---------------------------------------------------------------------------
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// 5. Ranking réseau
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// ---------------------------------------------------------------------------
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/**
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* Retourne le classement réseau pour chaque article du fournisseur.
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* 1 requête SQL — remplace getRankingByArticles() (N appels HTTP per-article,
|
||
* capés à 500 par l'API).
|
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*/
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export async function pgGetRankingByFournisseur(codefou: string): Promise<{
|
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rankings: Map<string, PgRankingRow>;
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totalRankedProducts: number;
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}> {
|
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// D'abord, découvrir quels sites existent dans la table ranking (réseau vs magasin)
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const [rankResult, totalResult, sitesSample] = await Promise.all([
|
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pgNoParallel(sql`
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SELECT DISTINCT ON (a.codein)
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a.codein,
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r.site,
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r.ranking_ca,
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r.ranking_qte,
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r.ranking_mag_ca,
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r.ranking_mag_qte
|
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FROM ranking r
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JOIN art_gtin ag
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ON ag.gtin = r.gencod
|
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JOIN articles a
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ON a.no_id = ag.idarticle
|
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JOIN artfou1 af
|
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ON af.art_no_id = a.no_id AND af.code = ${codefou}
|
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ORDER BY a.codein,
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CASE
|
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WHEN r.site IN ('000', 'ALL', 'TOTAL', 'NET', 'RES') THEN 0
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ELSE 1
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END,
|
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r.site
|
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`),
|
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pgNoParallel(sql`
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SELECT COUNT(DISTINCT gencod)::int AS total FROM ranking
|
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`),
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pgNoParallel(sql`
|
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SELECT DISTINCT site FROM ranking ORDER BY site LIMIT 10
|
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`),
|
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]);
|
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|
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// Log sites disponibles pour diagnostic ranking
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const sitesDispos = (sitesSample.rows as { site: string }[]).map(r => r.site);
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console.log(`[pg-ff] Ranking sites disponibles:`, sitesDispos.join(", "));
|
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|
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const rankings = new Map<string, PgRankingRow>();
|
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for (const row of rankResult.rows as unknown as PgRankingRow[]) {
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if (row.codein) rankings.set(row.codein, row);
|
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}
|
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|
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// Log doublons de rank pour diagnostic
|
||
const rankCount = new Map<number, number>();
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||
for (const r of rankings.values()) {
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||
if (r.ranking_ca) {
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||
const v = Number(r.ranking_ca);
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rankCount.set(v, (rankCount.get(v) ?? 0) + 1);
|
||
}
|
||
}
|
||
const dupes = [...rankCount.entries()].filter(([, c]) => c > 1).slice(0, 5);
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if (dupes.length > 0) {
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console.log(`[pg-ff] Ranking doublons détectés (rank → nb articles):`, dupes.map(([r, c]) => `rank${r}×${c}`).join(", "));
|
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}
|
||
|
||
const totalRankedProducts = Number((totalResult.rows[0] as unknown as { total: number })?.total ?? 0);
|
||
console.log(`[pg-ff] Ranking: ${rankings.size} articles classés, réseau total: ${totalRankedProducts}`);
|
||
|
||
return { rankings, totalRankedProducts };
|
||
}
|
||
|
||
// ---------------------------------------------------------------------------
|
||
// 6. Commandes en cours
|
||
// ---------------------------------------------------------------------------
|
||
|
||
/**
|
||
* Retourne les quantités commandées en cours pour chaque article du fournisseur.
|
||
* 1 requête SQL — remplace getCommandesByFournisseur().
|
||
*/
|
||
export async function pgGetCommandesByFournisseur(codefou: string): Promise<Map<string, number>> {
|
||
// cdefou_vivant est une vue dénormalisée : articles_codein et cdefou_ligne_qtecde disponibles directement
|
||
const result = await pgNoParallel(sql`
|
||
SELECT
|
||
cv.articles_codein AS codein,
|
||
SUM(cv.cdefou_ligne_qtecde)::float AS qtecde
|
||
FROM cdefou_vivant cv
|
||
JOIN artfou1 af ON af.no_id = cv.artfou1_no_id AND af.code = ${codefou}
|
||
WHERE cv.articles_codein IS NOT NULL
|
||
GROUP BY cv.articles_codein
|
||
`);
|
||
|
||
const map = new Map<string, number>();
|
||
for (const row of result.rows as unknown as { codein: string; qtecde: number }[]) {
|
||
if (row.codein) map.set(row.codein, Number(row.qtecde) || 0);
|
||
}
|
||
return map;
|
||
}
|
||
|
||
// ---------------------------------------------------------------------------
|
||
// 7. Dashboard quotidien (hit parade + évolution N/N-1)
|
||
// ---------------------------------------------------------------------------
|
||
|
||
export interface DashboardSiteStats {
|
||
site: string;
|
||
ca_hier: number;
|
||
ca_n1: number;
|
||
tickets_hier: number;
|
||
tickets_n1: number;
|
||
qte_hier: number;
|
||
marge_hier: number;
|
||
lignes_hier: number;
|
||
}
|
||
|
||
export interface DashboardTopItem {
|
||
codein: string;
|
||
libelle1: string;
|
||
ca: number;
|
||
qte: number;
|
||
marge: number;
|
||
}
|
||
|
||
export interface DashboardSiteTop10 {
|
||
site: string;
|
||
ca: DashboardTopItem[];
|
||
qte: DashboardTopItem[];
|
||
marge: DashboardTopItem[];
|
||
}
|
||
|
||
export interface DashboardData {
|
||
dateHier: string;
|
||
dateN1: string;
|
||
sites: DashboardSiteStats[];
|
||
top10BySite: DashboardSiteTop10[];
|
||
}
|
||
|
||
// ---------------------------------------------------------------------------
|
||
// 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.
|
||
* 100% via l'API REST api.ffnancy.fr — aucune requête PostgreSQL directe.
|
||
* N-1 : même jour de semaine (52 semaines = 364 jours avant hier).
|
||
*/
|
||
export async function pgGetDashboardData(): Promise<DashboardData> {
|
||
const yesterday = new Date();
|
||
yesterday.setDate(yesterday.getDate() - 1);
|
||
const dateHier = yesterday.toISOString().split("T")[0];
|
||
|
||
// N-1 : même jour de semaine, même semaine N-1 → 364 jours = 52 semaines exactes
|
||
const n1Date = new Date(yesterday);
|
||
n1Date.setDate(n1Date.getDate() - 364);
|
||
const dateN1Param = n1Date.toISOString().split("T")[0];
|
||
|
||
const apiBase = "https://api.ffnancy.fr/api/performance";
|
||
|
||
// Deux appels parallèles : données hier + données même jour N-1
|
||
const [apiResult, apiN1Result] = await Promise.all([
|
||
fetch(`${apiBase}/dashboard?date=${dateHier}`, { cache: "no-store" })
|
||
.then(r => { if (!r.ok) throw new Error(`API dashboard ${r.status}: ${r.statusText}`); return r.json() as Promise<ApiPerfDashboard>; }),
|
||
fetch(`${apiBase}/dashboard?date=${dateN1Param}`, { cache: "no-store" })
|
||
.then(r => r.ok ? r.json() as Promise<ApiPerfDashboard> : null)
|
||
.catch(() => null),
|
||
]);
|
||
|
||
// Construire map N-1 par site depuis l'appel séparé
|
||
const n1BySite = new Map<string, { ca: number; trafic: number }>();
|
||
for (const s of apiN1Result?.sites ?? []) {
|
||
n1BySite.set(s.site, { ca: Number(s.ca_ttc) || 0, trafic: Number(s.trafic) || 0 });
|
||
}
|
||
|
||
const sites: DashboardSiteStats[] = (apiResult.sites ?? []).map(s => {
|
||
const n1 = n1BySite.get(s.site);
|
||
// Priorité : même jour de semaine N-1 (si > 0), sinon fallback sur n1 calendaire de l'API
|
||
const caN1 = (n1?.ca && n1.ca > 0) ? n1.ca : (Number(s.ca_ttc_n1) || 0);
|
||
const trafficN1 = (n1?.trafic && n1.trafic > 0) ? n1.trafic : (Number(s.trafic_n1) || 0);
|
||
return {
|
||
site: s.site,
|
||
ca_hier: Number(s.ca_ttc) || 0,
|
||
ca_n1: caN1,
|
||
tickets_hier: Number(s.trafic) || 0,
|
||
tickets_n1: trafficN1,
|
||
qte_hier: 0,
|
||
marge_hier: 0,
|
||
lignes_hier: 0,
|
||
};
|
||
});
|
||
|
||
// Top 10 par magasin : grouper les items par site, trier, garder top 10
|
||
const buildTop10 = (items: ApiPerfTopItem[], sortKey: "ca" | "qte" | "marge"): DashboardTopItem[] =>
|
||
items
|
||
.map(i => ({
|
||
codein: i.codein,
|
||
libelle1: i.libelle1,
|
||
ca: Number(i.ca_ttc) || 0,
|
||
qte: Number(i.qte_vendue) || 0,
|
||
marge: Number(i.marge) || 0,
|
||
}))
|
||
.sort((a, b) => b[sortKey] - a[sortKey])
|
||
.slice(0, 10);
|
||
|
||
const allItems = [
|
||
...(apiResult.top10_ca ?? []),
|
||
...(apiResult.top10_qte ?? []),
|
||
...(apiResult.top10_marge ?? []),
|
||
];
|
||
const siteSet = [...new Set(allItems.map(i => i.site).filter(Boolean))].sort();
|
||
|
||
const top10BySite: DashboardSiteTop10[] = siteSet.map(site => {
|
||
const byS = (arr: ApiPerfTopItem[]) => arr.filter(i => i.site === site);
|
||
return {
|
||
site,
|
||
ca: buildTop10(byS(apiResult.top10_ca ?? []), "ca"),
|
||
qte: buildTop10(byS(apiResult.top10_qte ?? []), "qte"),
|
||
marge: buildTop10(byS(apiResult.top10_marge ?? []), "marge"),
|
||
};
|
||
});
|
||
|
||
console.log(`[pg-ff] Dashboard: hier=${dateHier} n1=${dateN1Param} sites=${sites.length} n1_found=${n1BySite.size}`);
|
||
|
||
return {
|
||
dateHier: apiResult.date ?? dateHier,
|
||
dateN1: apiN1Result?.date ?? dateN1Param,
|
||
sites,
|
||
top10BySite,
|
||
};
|
||
}
|