Page /stats : tableau de bord analytique + rapport PDF Groupe-KA
- immoka/stats.py : /api/stats/dashboard (contrat ka-stats, cache 5 min) — KPI (actives, nouvelles, retirées, prix moyen/médian, prix/m², villes, connecteurs, tension retraits/nouvelles), séries quotidiennes reconstruites (actives/nouvelles/retraits), répartitions (types, fourchettes de prix, chambres), géo par région (fusion accents/casse), heatmap, top villes, délai de présence par ville, records. Deltas seulement si la période précédente a été observée en entier — rien d'inventé. - immoka/kapdf.py (copie du kit ka-ui) + /api/stats/report : PDF estampillé Groupe-KA (complet / synthèse), wordmark Immo·Ka, accent #e23744. - frontend/src/pages/Stats.tsx : page réécrite sur le kit ka/stats/kacharts — PdfButton + fraîcheur, KPI auto-fit, sélecteur de période (refetch), courbes, anneau, barres, géo, heatmap, tableaux triables, records ; bloc Vrai-Prix conservé. Zéro débordement à 360/768/1440. - fpdf2 ajouté aux dépendances. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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frontend/src/ka/stats/SPEC.md
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| 1 | +# ka-stats — module Stats commun Groupe KA (spec v1) | |
| 2 | + | |
| 3 | +Contrat partagé par les 12 plateformes pour leurs pages **/stats** (tableau de | |
| 4 | +bord analytique) et l'**export PDF** estampillé Groupe-KA. Le visuel suit le | |
| 5 | +design system ka-ui (tokens.css) avec l'accent de la marque. | |
| 6 | + | |
| 7 | +## 1. Page /stats — structure obligatoire (dans cet ordre) | |
| 8 | + | |
| 9 | +1. **Bandeau KPI** : 4–6 grandes cartes (`KpiCard`) — valeur, libellé, | |
| 10 | + variation vs période précédente (▲/▼ + %, vert `--green` / rouge `--danger`). | |
| 11 | +2. **Sélecteur de période global** (`PeriodSelector`) : `aujourd'hui · 7 j · | |
| 12 | + 30 j · 3 m · 6 m · 12 m · année en cours · tout` + plage personnalisée | |
| 13 | + (2 champs date). Toute la page se recalcule (state → refetch dashboard). | |
| 14 | +3. **Graphiques** : courbes d'évolution (`LineChart`, survol = infobulle, | |
| 15 | + légende cliquable pour masquer une série, comparaison N vs N-1 en | |
| 16 | + pointillé), barres (`BarChart`), anneaux (`Donut`), calendrier de chaleur | |
| 17 | + (`CalendarHeatmap`) quand pertinent. | |
| 18 | +4. **Répartition géographique** (par ville/région) quand pertinent — barres | |
| 19 | + horizontales triées (pas besoin de vraie carte). | |
| 20 | +5. **Tableaux détaillés** (`DataTable`) : tri par colonne, recherche interne, | |
| 21 | + pagination (25/pg), débordement horizontal propre sur mobile (.tbl-wrap). | |
| 22 | +6. **Records & faits marquants** : générés depuis les données (jour record, | |
| 23 | + plus forte croissance, meilleure entrée…) — cartes compactes. | |
| 24 | +7. **Fraîcheur** : « Mis à jour le {date heure} » + bouton Rafraîchir. | |
| 25 | +8. **Bouton PDF** bien visible en haut : « Télécharger le rapport PDF » avec | |
| 26 | + deux choix (Rapport complet / Synthèse 2 pages). Indicateur de progression | |
| 27 | + si > 2 s. | |
| 28 | + | |
| 29 | +Responsive : KPI empilés < 768 px, graphiques pleine largeur redimensionnés | |
| 30 | +(SVG viewBox), tableaux en défilement horizontal contenu, tactile ≥ 44 px. | |
| 31 | +AUCUNE donnée inventée : une stat indisponible = bloc « Pas encore mesuré » | |
| 32 | +(carte grise propre), jamais un faux chiffre. | |
| 33 | + | |
| 34 | +## 2. API — contrat commun | |
| 35 | + | |
| 36 | +`GET /api/stats/dashboard?period=7j|30j|3m|6m|12m|annee|tout|auj&from=YYYY-MM-DD&to=YYYY-MM-DD` | |
| 37 | + | |
| 38 | +```jsonc | |
| 39 | +{ | |
| 40 | + "updated": "2026-08-17T21:04:00-04:00", | |
| 41 | + "period": { "from": "2026-07-18", "to": "2026-08-17", "label": "30 jours" }, | |
| 42 | + "kpis": [ { "id": "total", "label": "Annonces actives", "value": 33744, | |
| 43 | + "unit": "", "delta_pct": 4.2, "direction": "up" } ], | |
| 44 | + "series": [ { "id": "vol", "title": "Annonces actives par jour", "unit": "annonces", | |
| 45 | + "kind": "line", "points": [{ "t": "2026-07-18", "v": 31200 }], | |
| 46 | + "compare": [{ "t": "2025-07-18", "v": 24100 }] } ], | |
| 47 | + "breakdowns": [ { "id": "types", "title": "Par type", "kind": "donut", | |
| 48 | + "items": [{ "label": "4½", "value": 9120 }] } ], | |
| 49 | + "geo": { "title": "Par région", "items": [{ "label": "Montréal", "value": 15680 }] }, | |
| 50 | + "heatmap": { "title": "Activité", "cells": [{ "date": "2026-08-01", "value": 210 }] }, | |
| 51 | + "tables": [ { "id": "top", "title": "Top villes", "columns": ["Ville", "Annonces", "Δ 30 j"], | |
| 52 | + "rows": [["Montréal", 15680, "+3,1 %"]] } ], | |
| 53 | + "records": [ { "label": "Jour record d'ajouts", "value": "412 annonces", "date": "2026-08-09" } ] | |
| 54 | +} | |
| 55 | +``` | |
| 56 | + | |
| 57 | +Champs absents = section masquée. Cache serveur recommandé (≥ 5 min par | |
| 58 | +période). Les valeurs proviennent des données réelles (DB de la plateforme, | |
| 59 | +journaux de sync des connecteurs, /api/v1/runs d'API-KA…). | |
| 60 | + | |
| 61 | +`GET /api/stats/report?period=…&from=&to=&mode=complet|synthese` | |
| 62 | +→ `application/pdf`, en-tête `Content-Disposition: attachment; filename= | |
| 63 | +groupe-ka_<plateforme>_stats_<periode>_<YYYY-MM-DD>.pdf`. | |
| 64 | + | |
| 65 | +## 3. PDF — gabarit Groupe-KA (implémentations : `kapdf.py` fpdf2 pour les | |
| 66 | +apps Python ; les apps Next portent le même gabarit en pdfkit) | |
| 67 | + | |
| 68 | +- **Couverture** : cadre encre, kicker « GROUPE KA · RAPPORT STATISTIQUE », | |
| 69 | + wordmark de la plateforme (boîte encre + accent), sous-titre, période | |
| 70 | + couverte, date/heure de génération, bande encre au pied avec | |
| 71 | + « par Groupe KA — groupe-ka.com ». | |
| 72 | +- **Sommaire** avec numéros de pages (mode complet). | |
| 73 | +- **KPI** : grille de cartes (bordure encre, valeur en gros, delta coloré). | |
| 74 | +- **Graphiques VECTORIELS** (dessinés en primitives, jamais de capture) : | |
| 75 | + courbes, barres, anneaux — accent de la plateforme, axes/graduations encre. | |
| 76 | +- **Tableaux** paginés proprement (lignes zébrées `--surface-2`, jamais | |
| 77 | + coupés en deux à cheval sur une ligne). | |
| 78 | +- **Records** puis **page de fin** : coordonnées Groupe KA (3 courriels + | |
| 79 | + rôles d'ecosystem.json, groupe-ka.com), avertissement d'agrégateur, | |
| 80 | + mentions légales courtes. | |
| 81 | +- **Chaque page** : en-tête discret (« Groupe KA · {Plateforme} », filet | |
| 82 | + encre) + pied (« © Groupe-KA — {année} — groupe-ka.com · {période} · p. X/Y »). | |
| 83 | +- A4 portrait, marges 18 mm, typo : Helvetica (fallback sûr) ou fonts TTF du | |
| 84 | + DS si présentes. Mode « synthese » = couverture + 1 page KPI/records. | |
| 85 | + | |
| 86 | +## 4. Spécifique par plateforme (sections métier attendues) | |
| 87 | + | |
| 88 | +- **groupe-ka** : tableau de bord maître — consolidation des 12 (volume total, | |
| 89 | + croissance), classement des plateformes, bloc résumé par plateforme + lien | |
| 90 | + vers sa page /stats ; « Rapport écosystème complet » = PDF consolidé. | |
| 91 | +- **lou-ka** : annonces actives/nouvelles/retirées, loyers moyens/médians par | |
| 92 | + ville & taille, évolution, répartition par type, top villes. | |
| 93 | +- **immo-ka** : annonces actives/nouvelles/vendues-retirées, prix moyen/médian | |
| 94 | + par ville/région/type, délai de présence, top villes, tension du marché. | |
| 95 | +- **vrai-prix** : couverture du rôle (unités, valeur totale), estimations | |
| 96 | + servies si journalisées, répartitions par municipalité/type, indices marché. | |
| 97 | +- **auto-ka** : volume par marque/modèle/année/carburant/boîte, prix moyens et | |
| 98 | + km moyens par segment, top marques/modèles. | |
| 99 | +- **fabri-ka** : produits par catégorie/région/boutique, fourchettes de prix, | |
| 100 | + nouveautés par période, top catégories. | |
| 101 | +- **food-ka** : produits suivis, relevés de prix, soldes détectés (baisses/ | |
| 102 | + hausses, amplitude), top produits en solde, prix moyens par catégorie. | |
| 103 | +- **resto-ka** : restos par cuisine/ville/gamme, menus & plats, nouveautés/ | |
| 104 | + fermetures détectées, top établissements. | |
| 105 | +- **sorti-ka** : événements à venir/passés par catégorie/ville, gratuits vs | |
| 106 | + payants, heatmap calendrier, top lieux. | |
| 107 | +- **crea-ka** : créateurs par plateforme/niche/tier, comptes reliés, top | |
| 108 | + créateurs, croissance du répertoire. | |
| 109 | +- **trouve-ka** : pages indexées, domaines, rythme de crawl (indexées/h), | |
| 110 | + erreurs, file frontier, tendances si les requêtes sont journalisées. | |
| 111 | +- **api-ka** : appels par endpoint/jour/heure, latences moyennes + p95, taux | |
| 112 | + d'erreur, top endpoints, uptime (données des middlewares de logging + runs). | |
| 113 | +- **Transverse (tous)** : volume total agrégé + croissance, connecteurs actifs | |
| 114 | + et éléments ajoutés/mis à jour par période (journaux de sync), complétude/ | |
| 115 | + fraîcheur moyenne des fiches quand mesurable. Trafic web : seulement si des | |
| 116 | + journaux d'accès existent — sinon état vide propre. | |
| 117 | + | |
| 118 | +## 5. Ajouter une métrique / un graphique / une plateforme | |
| 119 | + | |
| 120 | +1 métrique = 1 entrée `kpis[]` ou `series[]` côté API (requête SQL agrégée + | |
| 121 | +cache) — le front la rend automatiquement. 1 plateforme = implémenter les 2 | |
| 122 | +endpoints du contrat + une page /stats montée sur les composants du kit + | |
| 123 | +`kapdf.py` (ou gabarit pdfkit) branché sur le même JSON de dashboard. | |
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frontend/src/ka/stats/kacharts.tsx
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| 1 | +// Auteur : Simon-Pierre Boucher — contact@spboucher.ai | |
| 2 | +// ka-ui/stats/kacharts.tsx — kit de graphiques SVG du module Stats commun | |
| 3 | +// Groupe KA (zéro dépendance, React 18+). Style : design system ka-ui | |
| 4 | +// (bordures encre, accent de la plateforme via var(--accent)). | |
| 5 | +// Composants : KpiCard, PeriodSelector, LineChart (infobulle + légende | |
| 6 | +// cliquable + comparaison N-1), BarChart, Donut, CalendarHeatmap, DataTable | |
| 7 | +// (tri/recherche/pagination), RecordCard, PdfButton, EmptyBlock, Fraicheur. | |
| 8 | +import { useMemo, useState } from "react"; | |
| 9 | + | |
| 10 | +/* ---------- types (contrat SPEC.md) ---------- */ | |
| 11 | +export type Kpi = { | |
| 12 | + id: string; label: string; value: number | string; unit?: string; | |
| 13 | + delta_pct?: number | null; direction?: "up" | "down"; | |
| 14 | +}; | |
| 15 | +export type Point = { t: string; v: number }; | |
| 16 | +export type Serie = { | |
| 17 | + id: string; title: string; unit?: string; kind?: "line" | "bar"; | |
| 18 | + points: Point[]; compare?: Point[]; | |
| 19 | +}; | |
| 20 | +export type BreakItem = { label: string; value: number }; | |
| 21 | +export type TableSpec = { id: string; title: string; columns: string[]; rows: (string | number)[][] }; | |
| 22 | +export type RecordFact = { label: string; value: string; date?: string }; | |
| 23 | + | |
| 24 | +export const PERIODS: { id: string; label: string }[] = [ | |
| 25 | + { id: "auj", label: "Aujourd'hui" }, | |
| 26 | + { id: "7j", label: "7 jours" }, | |
| 27 | + { id: "30j", label: "30 jours" }, | |
| 28 | + { id: "3m", label: "3 mois" }, | |
| 29 | + { id: "6m", label: "6 mois" }, | |
| 30 | + { id: "12m", label: "12 mois" }, | |
| 31 | + { id: "annee", label: "Année en cours" }, | |
| 32 | + { id: "tout", label: "Tout" }, | |
| 33 | +]; | |
| 34 | + | |
| 35 | +export const fmtInt = (n: number) => n.toLocaleString("fr-CA"); | |
| 36 | +export const fmtNum = (n: number) => | |
| 37 | + Number.isInteger(n) ? fmtInt(n) : n.toLocaleString("fr-CA", { maximumFractionDigits: 2 }); | |
| 38 | + | |
| 39 | +/* ---------- KPI ---------- */ | |
| 40 | +export function KpiCard({ k }: { k: Kpi }) { | |
| 41 | + const up = (k.direction ?? ((k.delta_pct ?? 0) >= 0 ? "up" : "down")) === "up"; | |
| 42 | + return ( | |
| 43 | + <article className="card" style={{ padding: "14px 16px", minWidth: 0 }}> | |
| 44 | + <p style={{ margin: 0, fontFamily: "var(--font-display)", fontWeight: 700, fontSize: "clamp(22px,2.4vw,30px)", letterSpacing: "-0.02em" }}> | |
| 45 | + {typeof k.value === "number" ? fmtNum(k.value) : k.value} | |
| 46 | + {k.unit ? <span style={{ fontSize: "0.6em", color: "var(--ink-2)" }}> {k.unit}</span> : null} | |
| 47 | + </p> | |
| 48 | + <p className="klabel" style={{ margin: "6px 0 0" }}>{k.label}</p> | |
| 49 | + {k.delta_pct !== undefined && k.delta_pct !== null && ( | |
| 50 | + <p style={{ margin: "8px 0 0", fontFamily: "var(--font-mono)", fontSize: 11, fontWeight: 700, color: up ? "var(--green)" : "var(--danger)" }}> | |
| 51 | + {up ? "▲" : "▼"} {k.delta_pct >= 0 ? "+" : ""}{fmtNum(k.delta_pct)} % <span style={{ color: "var(--ink-3)", fontWeight: 500 }}>vs période préc.</span> | |
| 52 | + </p> | |
| 53 | + )} | |
| 54 | + </article> | |
| 55 | + ); | |
| 56 | +} | |
| 57 | + | |
| 58 | +/* ---------- Sélecteur de période ---------- */ | |
| 59 | +export function PeriodSelector({ | |
| 60 | + value, onChange, custom, onCustom, | |
| 61 | +}: { | |
| 62 | + value: string; onChange: (p: string) => void; | |
| 63 | + custom?: { from: string; to: string }; onCustom?: (from: string, to: string) => void; | |
| 64 | +}) { | |
| 65 | + return ( | |
| 66 | + <div style={{ display: "flex", flexWrap: "wrap", gap: 8, alignItems: "center" }}> | |
| 67 | + {PERIODS.map((p) => ( | |
| 68 | + <button key={p.id} type="button" onClick={() => onChange(p.id)} | |
| 69 | + className="chip" aria-pressed={value === p.id} | |
| 70 | + style={{ cursor: "pointer", minHeight: 44, background: value === p.id ? "var(--accent)" : "var(--surface)", color: value === p.id ? "var(--on-accent)" : "var(--ink)" }}> | |
| 71 | + {p.label} | |
| 72 | + </button> | |
| 73 | + ))} | |
| 74 | + {onCustom && ( | |
| 75 | + <span style={{ display: "inline-flex", gap: 6, alignItems: "center" }}> | |
| 76 | + <input className="input" type="date" style={{ width: 150 }} value={custom?.from ?? ""} aria-label="Du" | |
| 77 | + onChange={(e) => onCustom(e.target.value, custom?.to ?? "")} /> | |
| 78 | + <span className="klabel">au</span> | |
| 79 | + <input className="input" type="date" style={{ width: 150 }} value={custom?.to ?? ""} aria-label="Au" | |
| 80 | + onChange={(e) => onCustom(custom?.from ?? "", e.target.value)} /> | |
| 81 | + </span> | |
| 82 | + )} | |
| 83 | + </div> | |
| 84 | + ); | |
| 85 | +} | |
| 86 | + | |
| 87 | +/* ---------- Courbe ---------- */ | |
| 88 | +export function LineChart({ serie, height = 240 }: { serie: Serie; height?: number }) { | |
| 89 | + const [hide, setHide] = useState<{ cur: boolean; cmp: boolean }>({ cur: false, cmp: false }); | |
| 90 | + const [hover, setHover] = useState<number | null>(null); | |
| 91 | + const W = 720, H = height, PL = 54, PR = 10, PT = 14, PB = 26; | |
| 92 | + const pts = serie.points ?? []; | |
| 93 | + if (pts.length < 2) return <EmptyBlock title={serie.title} />; | |
| 94 | + const all = [...(hide.cur ? [] : pts), ...(!hide.cmp && serie.compare ? serie.compare : [])]; | |
| 95 | + const vmax = Math.max(...all.map((p) => p.v), 1); | |
| 96 | + const vmin = Math.min(0, ...all.map((p) => p.v)); | |
| 97 | + const X = (i: number, n: number) => PL + ((W - PL - PR) * i) / (n - 1); | |
| 98 | + const Y = (v: number) => PT + (H - PT - PB) * (1 - (v - vmin) / (vmax - vmin || 1)); | |
| 99 | + const path = (s: Point[]) => s.map((p, i) => `${i ? "L" : "M"}${X(i, s.length)},${Y(p.v)}`).join(""); | |
| 100 | + const hi = hover !== null ? Math.min(pts.length - 1, Math.max(0, hover)) : null; | |
| 101 | + return ( | |
| 102 | + <figure className="card" style={{ margin: 0, padding: 16 }}> | |
| 103 | + <figcaption style={{ display: "flex", justifyContent: "space-between", flexWrap: "wrap", gap: 8 }}> | |
| 104 | + <b style={{ fontFamily: "var(--font-display)", fontSize: 15 }}>{serie.title}</b> | |
| 105 | + <span style={{ display: "flex", gap: 10 }}> | |
| 106 | + <LegendChip label="Période courante" color="var(--accent)" off={hide.cur} onClick={() => setHide((h) => ({ ...h, cur: !h.cur }))} /> | |
| 107 | + {serie.compare && <LegendChip label="Période comparée" color="var(--ink-3)" dashed off={hide.cmp} onClick={() => setHide((h) => ({ ...h, cmp: !h.cmp }))} />} | |
| 108 | + </span> | |
| 109 | + </figcaption> | |
| 110 | + <svg viewBox={`0 0 ${W} ${H}`} style={{ width: "100%", height: "auto", marginTop: 10, touchAction: "pan-y" }} role="img" aria-label={serie.title} | |
| 111 | + onMouseMove={(e) => { | |
| 112 | + const r = (e.currentTarget as SVGSVGElement).getBoundingClientRect(); | |
| 113 | + const fx = ((e.clientX - r.left) / r.width) * W; | |
| 114 | + setHover(Math.round(((fx - PL) / (W - PL - PR)) * (pts.length - 1))); | |
| 115 | + }} | |
| 116 | + onMouseLeave={() => setHover(null)}> | |
| 117 | + {[0, 1, 2, 3, 4].map((g) => { | |
| 118 | + const y = PT + ((H - PT - PB) * g) / 4; | |
| 119 | + const v = vmax - ((vmax - vmin) * g) / 4; | |
| 120 | + return ( | |
| 121 | + <g key={g}> | |
| 122 | + <line x1={PL} x2={W - PR} y1={y} y2={y} stroke="var(--line)" strokeWidth={1} /> | |
| 123 | + <text x={PL - 6} y={y + 3} textAnchor="end" fontSize={10} fill="var(--ink-3)" fontFamily="var(--font-mono)">{fmtInt(Math.round(v))}</text> | |
| 124 | + </g> | |
| 125 | + ); | |
| 126 | + })} | |
| 127 | + {[0, Math.floor(pts.length / 2), pts.length - 1].map((i) => ( | |
| 128 | + <text key={i} x={X(i, pts.length)} y={H - 8} textAnchor="middle" fontSize={10} fill="var(--ink-3)" fontFamily="var(--font-mono)">{pts[i].t}</text> | |
| 129 | + ))} | |
| 130 | + {!hide.cmp && serie.compare && serie.compare.length > 1 && ( | |
| 131 | + <path d={path(serie.compare)} fill="none" stroke="var(--ink-3)" strokeWidth={1.4} strokeDasharray="4 4" /> | |
| 132 | + )} | |
| 133 | + {!hide.cur && <path d={path(pts)} fill="none" stroke="var(--accent)" strokeWidth={2.4} />} | |
| 134 | + {hi !== null && ( | |
| 135 | + <g> | |
| 136 | + <line x1={X(hi, pts.length)} x2={X(hi, pts.length)} y1={PT} y2={H - PB} stroke="var(--ink)" strokeWidth={1} strokeDasharray="2 3" /> | |
| 137 | + <circle cx={X(hi, pts.length)} cy={Y(pts[hi].v)} r={4} fill="var(--accent)" stroke="var(--ink)" strokeWidth={1.5} /> | |
| 138 | + </g> | |
| 139 | + )} | |
| 140 | + </svg> | |
| 141 | + {hi !== null && ( | |
| 142 | + <p className="chip" style={{ marginTop: 8 }}> | |
| 143 | + {pts[hi].t} — <b>{fmtNum(pts[hi].v)}{serie.unit ? ` ${serie.unit}` : ""}</b> | |
| 144 | + {serie.compare?.[hi] && !hide.cmp ? <span style={{ color: "var(--ink-3)" }}> · N-1 : {fmtNum(serie.compare[hi].v)}</span> : null} | |
| 145 | + </p> | |
| 146 | + )} | |
| 147 | + </figure> | |
| 148 | + ); | |
| 149 | +} | |
| 150 | + | |
| 151 | +function LegendChip({ label, color, off, dashed, onClick }: { label: string; color: string; off: boolean; dashed?: boolean; onClick: () => void }) { | |
| 152 | + return ( | |
| 153 | + <button type="button" onClick={onClick} aria-pressed={!off} | |
| 154 | + style={{ display: "inline-flex", alignItems: "center", gap: 6, border: 0, background: "none", cursor: "pointer", opacity: off ? 0.4 : 1, fontFamily: "var(--font-mono)", fontSize: 10.5, fontWeight: 700, textTransform: "uppercase", letterSpacing: "0.06em", minHeight: 44 }}> | |
| 155 | + <span style={{ width: 18, height: 0, borderTop: `3px ${dashed ? "dashed" : "solid"} ${color}` }} /> | |
| 156 | + {label} | |
| 157 | + </button> | |
| 158 | + ); | |
| 159 | +} | |
| 160 | + | |
| 161 | +/* ---------- Barres horizontales (répartitions, géo) ---------- */ | |
| 162 | +export function BarChart({ title, items, unit }: { title: string; items: BreakItem[]; unit?: string }) { | |
| 163 | + const rows = (items ?? []).slice(0, 14); | |
| 164 | + if (!rows.length) return <EmptyBlock title={title} />; | |
| 165 | + const max = Math.max(...rows.map((r) => r.value), 1); | |
| 166 | + return ( | |
| 167 | + <figure className="card" style={{ margin: 0, padding: 16 }}> | |
| 168 | + <figcaption><b style={{ fontFamily: "var(--font-display)", fontSize: 15 }}>{title}</b></figcaption> | |
| 169 | + <div style={{ marginTop: 12, display: "grid", gap: 9 }}> | |
| 170 | + {rows.map((r) => ( | |
| 171 | + <div key={r.label} title={`${r.label} — ${fmtNum(r.value)}${unit ? ` ${unit}` : ""}`}> | |
| 172 | + <div style={{ display: "flex", justifyContent: "space-between", fontSize: 12.5 }}> | |
| 173 | + <span style={{ overflow: "hidden", textOverflow: "ellipsis", whiteSpace: "nowrap" }}>{r.label}</span> | |
| 174 | + <b style={{ fontFamily: "var(--font-mono)", fontSize: 11.5 }}>{fmtNum(r.value)}{unit ? ` ${unit}` : ""}</b> | |
| 175 | + </div> | |
| 176 | + <div style={{ marginTop: 3, height: 12, background: "rgba(20,24,20,0.06)", borderRadius: "0 3px 3px 0" }}> | |
| 177 | + <div style={{ height: "100%", width: `${Math.max((r.value / max) * 100, 1)}%`, background: "var(--accent)", border: "1px solid var(--ink)", borderRadius: "0 3px 3px 0", boxSizing: "border-box" }} /> | |
| 178 | + </div> | |
| 179 | + </div> | |
| 180 | + ))} | |
| 181 | + </div> | |
| 182 | + </figure> | |
| 183 | + ); | |
| 184 | +} | |
| 185 | + | |
| 186 | +/* ---------- Anneau ---------- */ | |
| 187 | +export function Donut({ title, items }: { title: string; items: BreakItem[] }) { | |
| 188 | + const rows = (items ?? []).filter((i) => i.value > 0).slice(0, 8); | |
| 189 | + const total = rows.reduce((s, r) => s + r.value, 0); | |
| 190 | + if (!total) return <EmptyBlock title={title} />; | |
| 191 | + const R = 74, C = 2 * Math.PI * R; | |
| 192 | + let acc = 0; | |
| 193 | + const shades = [1, 0.78, 0.58, 0.42, 0.3, 0.22, 0.15, 0.1]; | |
| 194 | + return ( | |
| 195 | + <figure className="card" style={{ margin: 0, padding: 16 }}> | |
| 196 | + <figcaption><b style={{ fontFamily: "var(--font-display)", fontSize: 15 }}>{title}</b></figcaption> | |
| 197 | + <div style={{ display: "flex", flexWrap: "wrap", gap: 18, alignItems: "center", marginTop: 12 }}> | |
| 198 | + <svg viewBox="0 0 200 200" style={{ width: 180, maxWidth: "100%" }} role="img" aria-label={title}> | |
| 199 | + {rows.map((r, i) => { | |
| 200 | + const frac = r.value / total; | |
| 201 | + const off = acc; acc += frac; | |
| 202 | + return ( | |
| 203 | + <circle key={r.label} cx={100} cy={100} r={R} fill="none" | |
| 204 | + stroke="var(--accent)" strokeOpacity={shades[i % shades.length]} | |
| 205 | + strokeWidth={30} strokeDasharray={`${frac * C} ${C}`} strokeDashoffset={-off * C} | |
| 206 | + transform="rotate(-90 100 100)"> | |
| 207 | + <title>{`${r.label} — ${fmtNum(r.value)} (${((100 * r.value) / total).toFixed(1)} %)`}</title> | |
| 208 | + </circle> | |
| 209 | + ); | |
| 210 | + })} | |
| 211 | + <circle cx={100} cy={100} r={R} fill="none" stroke="var(--ink)" strokeWidth={1} opacity={0.5} /> | |
| 212 | + </svg> | |
| 213 | + <ul style={{ listStyle: "none", margin: 0, padding: 0, display: "grid", gap: 6, minWidth: 200, flex: 1 }}> | |
| 214 | + {rows.map((r, i) => ( | |
| 215 | + <li key={r.label} style={{ display: "flex", alignItems: "center", gap: 8, fontSize: 12.5 }}> | |
| 216 | + <span style={{ width: 11, height: 11, borderRadius: 3, border: "1px solid var(--ink)", background: "var(--accent)", opacity: shades[i % shades.length] }} /> | |
| 217 | + <span style={{ flex: 1, overflow: "hidden", textOverflow: "ellipsis", whiteSpace: "nowrap" }}>{r.label}</span> | |
| 218 | + <b style={{ fontFamily: "var(--font-mono)", fontSize: 11 }}>{((100 * r.value) / total).toFixed(1)} %</b> | |
| 219 | + </li> | |
| 220 | + ))} | |
| 221 | + </ul> | |
| 222 | + </div> | |
| 223 | + </figure> | |
| 224 | + ); | |
| 225 | +} | |
| 226 | + | |
| 227 | +/* ---------- Calendrier de chaleur ---------- */ | |
| 228 | +export function CalendarHeatmap({ title, cells }: { title: string; cells: { date: string; value: number }[] }) { | |
| 229 | + if (!cells?.length) return <EmptyBlock title={title} />; | |
| 230 | + const byDate = new Map(cells.map((c) => [c.date, c.value])); | |
| 231 | + const dates = cells.map((c) => c.date).sort(); | |
| 232 | + const end = new Date(dates[dates.length - 1] + "T12:00:00"); | |
| 233 | + const max = Math.max(...cells.map((c) => c.value), 1); | |
| 234 | + const weeks = 26, cols: { date: string; v: number }[][] = []; | |
| 235 | + const cur = new Date(end); | |
| 236 | + cur.setDate(cur.getDate() - (weeks * 7 - 1)); | |
| 237 | + for (let w = 0; w < weeks; w++) { | |
| 238 | + const col: { date: string; v: number }[] = []; | |
| 239 | + for (let d = 0; d < 7; d++) { | |
| 240 | + const iso = cur.toISOString().slice(0, 10); | |
| 241 | + col.push({ date: iso, v: byDate.get(iso) ?? 0 }); | |
| 242 | + cur.setDate(cur.getDate() + 1); | |
| 243 | + } | |
| 244 | + cols.push(col); | |
| 245 | + } | |
| 246 | + return ( | |
| 247 | + <figure className="card" style={{ margin: 0, padding: 16 }}> | |
| 248 | + <figcaption><b style={{ fontFamily: "var(--font-display)", fontSize: 15 }}>{title}</b> <span className="klabel">26 dernières semaines</span></figcaption> | |
| 249 | + <div className="tbl-wrap" style={{ marginTop: 12 }}> | |
| 250 | + <svg viewBox={`0 0 ${weeks * 14} ${7 * 14}`} style={{ minWidth: 480, width: "100%", height: "auto" }} role="img" aria-label={title}> | |
| 251 | + {cols.map((col, w) => col.map((c, d) => ( | |
| 252 | + <rect key={c.date} x={w * 14} y={d * 14} width={12} height={12} rx={2.5} | |
| 253 | + fill={c.v ? "var(--accent)" : "rgba(20,24,20,0.07)"} fillOpacity={c.v ? 0.25 + 0.75 * (c.v / max) : 1} | |
| 254 | + stroke="rgba(20,24,20,0.15)" strokeWidth={0.5}> | |
| 255 | + <title>{`${c.date} — ${fmtNum(c.v)}`}</title> | |
| 256 | + </rect> | |
| 257 | + )))} | |
| 258 | + </svg> | |
| 259 | + </div> | |
| 260 | + </figure> | |
| 261 | + ); | |
| 262 | +} | |
| 263 | + | |
| 264 | +/* ---------- Tableau : tri, recherche, pagination ---------- */ | |
| 265 | +export function DataTable({ spec, pageSize = 25 }: { spec: TableSpec; pageSize?: number }) { | |
| 266 | + const [q, setQ] = useState(""); | |
| 267 | + const [sort, setSort] = useState<{ col: number; dir: 1 | -1 } | null>(null); | |
| 268 | + const [page, setPage] = useState(0); | |
| 269 | + const rows = useMemo(() => { | |
| 270 | + let r = spec.rows ?? []; | |
| 271 | + if (q) r = r.filter((row) => row.some((c) => String(c).toLowerCase().includes(q.toLowerCase()))); | |
| 272 | + if (sort) r = [...r].sort((a, b) => { | |
| 273 | + const x = a[sort.col], y = b[sort.col]; | |
| 274 | + const nx = typeof x === "number" ? x : parseFloat(String(x).replace(/[^\d.,-]/g, "").replace(",", ".")); | |
| 275 | + const ny = typeof y === "number" ? y : parseFloat(String(y).replace(/[^\d.,-]/g, "").replace(",", ".")); | |
| 276 | + if (!Number.isNaN(nx) && !Number.isNaN(ny)) return (nx - ny) * sort.dir; | |
| 277 | + return String(x).localeCompare(String(y), "fr") * sort.dir; | |
| 278 | + }); | |
| 279 | + return r; | |
| 280 | + }, [spec.rows, q, sort]); | |
| 281 | + const pages = Math.max(1, Math.ceil(rows.length / pageSize)); | |
| 282 | + const cur = Math.min(page, pages - 1); | |
| 283 | + return ( | |
| 284 | + <section className="card" style={{ padding: 16 }}> | |
| 285 | + <div style={{ display: "flex", flexWrap: "wrap", gap: 10, justifyContent: "space-between", alignItems: "center" }}> | |
| 286 | + <b style={{ fontFamily: "var(--font-display)", fontSize: 15 }}>{spec.title}</b> | |
| 287 | + <input className="input" style={{ maxWidth: 240 }} placeholder="Rechercher…" value={q} | |
| 288 | + onChange={(e) => { setQ(e.target.value); setPage(0); }} aria-label={`Rechercher dans ${spec.title}`} /> | |
| 289 | + </div> | |
| 290 | + <div className="tbl-wrap" style={{ marginTop: 10 }}> | |
| 291 | + <table style={{ width: "100%", borderCollapse: "collapse", fontSize: 13 }}> | |
| 292 | + <thead> | |
| 293 | + <tr> | |
| 294 | + {spec.columns.map((c, i) => ( | |
| 295 | + <th key={c} onClick={() => setSort((s) => ({ col: i, dir: s?.col === i && s.dir === 1 ? -1 : 1 }))} | |
| 296 | + style={{ cursor: "pointer", textAlign: "left", padding: "8px 10px", background: "var(--ink)", color: "var(--paper)", fontFamily: "var(--font-mono)", fontSize: 10.5, textTransform: "uppercase", letterSpacing: "0.06em", whiteSpace: "nowrap", userSelect: "none" }} | |
| 297 | + aria-sort={sort?.col === i ? (sort.dir === 1 ? "ascending" : "descending") : "none"}> | |
| 298 | + {c} {sort?.col === i ? (sort.dir === 1 ? "▲" : "▼") : "↕"} | |
| 299 | + </th> | |
| 300 | + ))} | |
| 301 | + </tr> | |
| 302 | + </thead> | |
| 303 | + <tbody> | |
| 304 | + {rows.slice(cur * pageSize, (cur + 1) * pageSize).map((row, ri) => ( | |
| 305 | + <tr key={ri} style={{ background: ri % 2 ? "var(--surface-2)" : "var(--surface)" }}> | |
| 306 | + {row.map((c, ci) => ( | |
| 307 | + <td key={ci} style={{ padding: "7px 10px", borderBottom: "1px solid var(--line)", whiteSpace: "nowrap" }}> | |
| 308 | + {typeof c === "number" ? fmtNum(c) : c} | |
| 309 | + </td> | |
| 310 | + ))} | |
| 311 | + </tr> | |
| 312 | + ))} | |
| 313 | + </tbody> | |
| 314 | + </table> | |
| 315 | + </div> | |
| 316 | + <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center", marginTop: 10, flexWrap: "wrap", gap: 8 }}> | |
| 317 | + <span className="klabel">{fmtInt(rows.length)} lignes</span> | |
| 318 | + <span style={{ display: "flex", gap: 6 }}> | |
| 319 | + <button type="button" className="btn btn-ghost" disabled={cur === 0} onClick={() => setPage(cur - 1)}>←</button> | |
| 320 | + <span className="chip">{cur + 1} / {pages}</span> | |
| 321 | + <button type="button" className="btn btn-ghost" disabled={cur >= pages - 1} onClick={() => setPage(cur + 1)}>→</button> | |
| 322 | + </span> | |
| 323 | + </div> | |
| 324 | + </section> | |
| 325 | + ); | |
| 326 | +} | |
| 327 | + | |
| 328 | +/* ---------- Records / faits marquants ---------- */ | |
| 329 | +export function RecordCard({ r }: { r: RecordFact }) { | |
| 330 | + return ( | |
| 331 | + <article className="card" style={{ padding: "12px 16px", display: "flex", justifyContent: "space-between", gap: 12, alignItems: "baseline", background: "var(--surface-2)" }}> | |
| 332 | + <span style={{ fontSize: 13, color: "var(--ink-2)" }}>{r.label}</span> | |
| 333 | + <span style={{ textAlign: "right" }}> | |
| 334 | + <b style={{ fontFamily: "var(--font-display)", fontSize: 15 }}>{r.value}</b> | |
| 335 | + {r.date && <span className="klabel" style={{ display: "block" }}>{r.date}</span>} | |
| 336 | + </span> | |
| 337 | + </article> | |
| 338 | + ); | |
| 339 | +} | |
| 340 | + | |
| 341 | +/* ---------- Bouton PDF ---------- */ | |
| 342 | +export function PdfButton({ period, from, to, endpoint = "/api/stats/report" }: { period: string; from?: string; to?: string; endpoint?: string }) { | |
| 343 | + const [busy, setBusy] = useState(false); | |
| 344 | + const url = (mode: string) => { | |
| 345 | + const p = new URLSearchParams({ period, mode }); | |
| 346 | + if (from) p.set("from", from); | |
| 347 | + if (to) p.set("to", to); | |
| 348 | + return `${endpoint}?${p}`; | |
| 349 | + }; | |
| 350 | + const dl = (mode: string) => { | |
| 351 | + setBusy(true); | |
| 352 | + const a = document.createElement("a"); | |
| 353 | + a.href = url(mode); | |
| 354 | + a.download = ""; | |
| 355 | + document.body.appendChild(a); | |
| 356 | + a.click(); | |
| 357 | + a.remove(); | |
| 358 | + setTimeout(() => setBusy(false), 2500); | |
| 359 | + }; | |
| 360 | + return ( | |
| 361 | + <span style={{ display: "inline-flex", gap: 8, flexWrap: "wrap" }}> | |
| 362 | + <button type="button" className="btn btn-primary" onClick={() => dl("complet")} disabled={busy}> | |
| 363 | + {busy ? "Génération…" : "⬇ Télécharger le rapport PDF"} | |
| 364 | + </button> | |
| 365 | + <button type="button" className="btn btn-ghost" onClick={() => dl("synthese")} disabled={busy}> | |
| 366 | + Synthèse (2 p.) | |
| 367 | + </button> | |
| 368 | + </span> | |
| 369 | + ); | |
| 370 | +} | |
| 371 | + | |
| 372 | +/* ---------- États ---------- */ | |
| 373 | +export function EmptyBlock({ title }: { title: string }) { | |
| 374 | + return ( | |
| 375 | + <div className="card" style={{ padding: 20, background: "var(--surface-2)", borderStyle: "dashed" }}> | |
| 376 | + <b style={{ fontFamily: "var(--font-display)", fontSize: 14 }}>{title}</b> | |
| 377 | + <p className="klabel" style={{ margin: "6px 0 0" }}>Pas encore mesuré — aucune donnée disponible pour cette période.</p> | |
| 378 | + </div> | |
| 379 | + ); | |
| 380 | +} | |
| 381 | + | |
| 382 | +export function Fraicheur({ updated, onRefresh }: { updated: string; onRefresh: () => void }) { | |
| 383 | + return ( | |
| 384 | + <p style={{ display: "flex", gap: 10, alignItems: "center", flexWrap: "wrap", margin: 0 }}> | |
| 385 | + <span className="klabel">Mis à jour le {new Date(updated).toLocaleString("fr-CA", { dateStyle: "medium", timeStyle: "short" })}</span> | |
| 386 | + <button type="button" className="btn btn-ghost" onClick={onRefresh}>↻ Rafraîchir</button> | |
| 387 | + </p> | |
| 388 | + ); | |
| 389 | +} | |
added
frontend/src/ka/stats/kapdf.py
+558 −0
@@ -0,0 +1,558 @@ | ||
| 1 | +# Auteur : Simon-Pierre Boucher — contact@spboucher.ai | |
| 2 | +# ka-ui/stats/kapdf.py — moteur PDF commun Groupe KA (fpdf2). | |
| 3 | +# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit | |
| 4 | +# le rapport estampillé Groupe-KA : couverture, sommaire, KPI, graphiques | |
| 5 | +# VECTORIELS (courbes/barres/anneaux), tableaux paginés, records, page de fin. | |
| 6 | +# Usage : | |
| 7 | +# from kapdf import GroupeKAReport | |
| 8 | +# pdf_bytes = GroupeKAReport(site={"wordmark":"Lou·Ka","accent":"#ff6a00", | |
| 9 | +# "domain":"www.lou-ka.com","tagline":"…"}, dashboard=dash_json, | |
| 10 | +# mode="complet").build() | |
| 11 | +# Dépendance : pip install fpdf2 (aucune autre) | |
| 12 | +from __future__ import annotations | |
| 13 | + | |
| 14 | +import math | |
| 15 | +from datetime import datetime | |
| 16 | +from zoneinfo import ZoneInfo | |
| 17 | + | |
| 18 | +from fpdf import FPDF | |
| 19 | + | |
| 20 | +INK = (20, 24, 20) | |
| 21 | +INK2 = (77, 85, 81) | |
| 22 | +INK3 = (139, 146, 140) | |
| 23 | +PAPER = (245, 243, 238) | |
| 24 | +SURFACE2 = (250, 249, 245) | |
| 25 | +GREEN = (28, 92, 65) | |
| 26 | +DANGER = (179, 66, 58) | |
| 27 | +WHITE = (255, 255, 255) | |
| 28 | + | |
| 29 | +EMAILS = [ | |
| 30 | + ("contact@groupe-ka.com", "Projets, partenariats & données"), | |
| 31 | + ("info@groupe-ka.com", "Médias & questions générales"), | |
| 32 | + ("admin@groupe-ka.com", "Légal, vie privée & Loi 25"), | |
| 33 | +] | |
| 34 | +DISCLAIMER = ( | |
| 35 | + "Groupe KA est un agrégateur de contenu : nous ne vendons rien, ne louons " | |
| 36 | + "rien et ne sommes partie à aucune transaction. Données lues à la source, " | |
| 37 | + "rien d'inventé, tout est traçable." | |
| 38 | +) | |
| 39 | + | |
| 40 | + | |
| 41 | +def _hex(c: str) -> tuple[int, int, int]: | |
| 42 | + c = c.lstrip("#") | |
| 43 | + return tuple(int(c[i : i + 2], 16) for i in (0, 2, 4)) # type: ignore | |
| 44 | + | |
| 45 | + | |
| 46 | +def _fr(n) -> str: | |
| 47 | + if isinstance(n, float) and not n.is_integer(): | |
| 48 | + return f"{n:,.2f}".replace(",", " ").replace(".", ",") | |
| 49 | + return f"{int(n):,}".replace(",", " ") | |
| 50 | + | |
| 51 | + | |
| 52 | +_SUBST = { | |
| 53 | + "—": "-", "–": "-", "→": "->", "▲": "+", "▼": "-", | |
| 54 | + "…": "...", "’": "'", "‘": "'", "“": '"', "”": '"', | |
| 55 | + "œ": "oe", "Œ": "OE", "−": "-", " ": " ", " ": " ", | |
| 56 | +} | |
| 57 | + | |
| 58 | + | |
| 59 | +def _latin1(s: str) -> str: | |
| 60 | + for k, v in _SUBST.items(): | |
| 61 | + s = s.replace(k, v) | |
| 62 | + return s.encode("latin-1", "replace").decode("latin-1") | |
| 63 | + | |
| 64 | + | |
| 65 | +class _PDF(FPDF): | |
| 66 | + """FPDF avec en-tête/pied Groupe-KA sur chaque page (sauf couverture). | |
| 67 | + Les polices core sont latin-1 : normalize_text sanitise en amont.""" | |
| 68 | + | |
| 69 | + def normalize_text(self, text): | |
| 70 | + return super().normalize_text(_latin1(text)) | |
| 71 | + | |
| 72 | + def __init__(self, brand: str, accent: tuple, period_label: str): | |
| 73 | + super().__init__(orientation="P", unit="mm", format="A4") | |
| 74 | + self.brand = brand | |
| 75 | + self.accent = accent | |
| 76 | + self.period_label = period_label | |
| 77 | + self.cover_mode = False | |
| 78 | + self.set_margins(18, 20, 18) | |
| 79 | + self.set_auto_page_break(True, margin=22) | |
| 80 | + | |
| 81 | + def header(self): | |
| 82 | + if self.cover_mode: | |
| 83 | + return | |
| 84 | + self.set_font("helvetica", "B", 8.5) | |
| 85 | + self.set_text_color(*INK) | |
| 86 | + self.set_xy(18, 9) | |
| 87 | + self.cell(0, 5, f"Groupe KA · {self.brand}") | |
| 88 | + self.set_font("helvetica", "", 8) | |
| 89 | + self.set_text_color(*INK3) | |
| 90 | + self.set_xy(18, 9) | |
| 91 | + self.cell(0, 5, "Rapport statistique", align="R") | |
| 92 | + self.set_draw_color(*INK) | |
| 93 | + self.set_line_width(0.5) | |
| 94 | + self.line(18, 15.5, 192, 15.5) | |
| 95 | + self.set_y(20) | |
| 96 | + | |
| 97 | + def footer(self): | |
| 98 | + if self.cover_mode: | |
| 99 | + return | |
| 100 | + self.set_y(-15) | |
| 101 | + self.set_draw_color(*INK3) | |
| 102 | + self.set_line_width(0.2) | |
| 103 | + self.line(18, self.get_y() - 1.5, 192, self.get_y() - 1.5) | |
| 104 | + self.set_font("helvetica", "", 7.5) | |
| 105 | + self.set_text_color(*INK3) | |
| 106 | + year = datetime.now(ZoneInfo("America/Toronto")).year | |
| 107 | + self.cell(130, 5, f"© Groupe-KA — {year} — groupe-ka.com · {self.period_label}") | |
| 108 | + self.cell(0, 5, f"p. {self.page_no()}/{{nb}}", align="R") | |
| 109 | + | |
| 110 | + | |
| 111 | +class GroupeKAReport: | |
| 112 | + def __init__(self, site: dict, dashboard: dict, mode: str = "complet"): | |
| 113 | + self.site = site | |
| 114 | + self.d = dashboard | |
| 115 | + self.mode = mode | |
| 116 | + self.accent = _hex(site.get("accent", "#d9f26b")) | |
| 117 | + period = dashboard.get("period", {}) or {} | |
| 118 | + self.period_label = period.get("label") or "toute la période" | |
| 119 | + self.pdf = _PDF(site.get("wordmark", ""), self.accent, self.period_label) | |
| 120 | + self.toc: list[tuple[str, int]] = [] | |
| 121 | + | |
| 122 | + # ---------- primitives ---------- | |
| 123 | + def _card(self, x, y, w, h, fill=WHITE): | |
| 124 | + p = self.pdf | |
| 125 | + p.set_draw_color(*INK) | |
| 126 | + p.set_line_width(0.45) | |
| 127 | + p.set_fill_color(*fill) | |
| 128 | + p.rect(x, y, w, h, style="DF", round_corners=True, corner_radius=2.2) | |
| 129 | + | |
| 130 | + def _kicker(self, text): | |
| 131 | + p = self.pdf | |
| 132 | + p.set_font("helvetica", "B", 8) | |
| 133 | + p.set_text_color(*GREEN) | |
| 134 | + p.set_draw_color(*GREEN) | |
| 135 | + p.set_line_width(0.6) | |
| 136 | + y = p.get_y() + 2 | |
| 137 | + p.line(p.l_margin, y, p.l_margin + 7, y) | |
| 138 | + p.set_xy(p.l_margin + 9, y - 2.5) | |
| 139 | + p.cell(0, 5, text.upper()) | |
| 140 | + p.ln(8) | |
| 141 | + | |
| 142 | + def _section_title(self, title): | |
| 143 | + if self.pdf.get_y() > 240: | |
| 144 | + self.pdf.add_page() | |
| 145 | + self._kicker("Groupe KA · " + self.site.get("wordmark", "")) | |
| 146 | + self.pdf.set_font("helvetica", "B", 15) | |
| 147 | + self.pdf.set_text_color(*INK) | |
| 148 | + self.pdf.set_x(self.pdf.l_margin) | |
| 149 | + self.pdf.cell(0, 8, title) | |
| 150 | + self.toc.append((title, self.pdf.page_no())) | |
| 151 | + self.pdf.ln(11) | |
| 152 | + | |
| 153 | + # ---------- pages ---------- | |
| 154 | + def _cover(self): | |
| 155 | + p = self.pdf | |
| 156 | + p.cover_mode = True | |
| 157 | + p.set_auto_page_break(False) | |
| 158 | + p.add_page() | |
| 159 | + p.set_fill_color(*PAPER) | |
| 160 | + p.rect(0, 0, 210, 297, style="F") | |
| 161 | + p.set_draw_color(*INK) | |
| 162 | + p.set_line_width(1.0) | |
| 163 | + p.rect(10, 10, 190, 277) | |
| 164 | + # kicker | |
| 165 | + p.set_font("helvetica", "B", 10) | |
| 166 | + p.set_text_color(*GREEN) | |
| 167 | + p.set_xy(24, 34) | |
| 168 | + p.cell(0, 6, "GROUPE KA · RAPPORT STATISTIQUE") | |
| 169 | + # wordmark : partie gauche + boîte encre/accent | |
| 170 | + wm = self.site.get("wordmark", "") | |
| 171 | + left, boxed = (wm.split("·") + [None])[:2] if "·" in wm else (wm, None) | |
| 172 | + p.set_xy(24, 70) | |
| 173 | + p.set_font("helvetica", "B", 40) | |
| 174 | + p.set_text_color(*INK) | |
| 175 | + p.cell(p.get_string_width(left) + 2, 20, left) | |
| 176 | + if boxed: | |
| 177 | + bw = p.get_string_width(boxed) + 12 | |
| 178 | + x = p.get_x() + 2 | |
| 179 | + p.set_fill_color(*INK) | |
| 180 | + p.rect(x, 68, bw, 22, style="F", round_corners=True, corner_radius=3) | |
| 181 | + p.set_text_color(*self.accent) | |
| 182 | + p.set_xy(x + 6, 70) | |
| 183 | + p.cell(bw - 12, 18, boxed) | |
| 184 | + p.set_xy(24, 100) | |
| 185 | + p.set_font("helvetica", "", 13) | |
| 186 | + p.set_text_color(*INK2) | |
| 187 | + p.multi_cell(150, 7, f"Rapport statistique — {wm}") | |
| 188 | + now = datetime.now(ZoneInfo("America/Toronto")) | |
| 189 | + per = self.d.get("period", {}) or {} | |
| 190 | + p.set_xy(24, 125) | |
| 191 | + p.set_font("helvetica", "", 10.5) | |
| 192 | + rows = [ | |
| 193 | + ("Période couverte", self.period_label + (f" ({per.get('from')} → {per.get('to')})" if per.get("from") else "")), | |
| 194 | + ("Généré le", now.strftime("%Y-%m-%d à %H:%M") + " (heure de l'Est)"), | |
| 195 | + ("Plateforme", "https://" + self.site.get("domain", "")), | |
| 196 | + ("Mode", "Rapport complet" if self.mode == "complet" else "Synthèse"), | |
| 197 | + ] | |
| 198 | + y = 128 | |
| 199 | + for k, v in rows: | |
| 200 | + p.set_xy(24, y) | |
| 201 | + p.set_text_color(*INK3) | |
| 202 | + p.cell(40, 6, k) | |
| 203 | + p.set_text_color(*INK) | |
| 204 | + p.set_font("helvetica", "B", 10.5) | |
| 205 | + p.cell(0, 6, str(v)) | |
| 206 | + p.set_font("helvetica", "", 10.5) | |
| 207 | + y += 8 | |
| 208 | + # bande encre au pied | |
| 209 | + p.set_fill_color(*INK) | |
| 210 | + p.rect(10, 262, 190, 25, style="F") | |
| 211 | + p.set_xy(24, 270) | |
| 212 | + p.set_font("helvetica", "B", 12) | |
| 213 | + p.set_text_color(*WHITE) | |
| 214 | + p.cell(60, 8, "par Groupe ") | |
| 215 | + p.set_text_color(*self.accent) | |
| 216 | + p.set_xy(24 + p.get_string_width("par Groupe ") + 1, 270) | |
| 217 | + p.cell(20, 8, "KA") | |
| 218 | + p.set_font("helvetica", "B", 10) | |
| 219 | + p.set_xy(24, 270) | |
| 220 | + p.set_text_color(*self.accent) | |
| 221 | + p.cell(162, 8, "groupe-ka.com", align="R") | |
| 222 | + p.set_auto_page_break(True, margin=22) | |
| 223 | + p.cover_mode = False | |
| 224 | + | |
| 225 | + def _kpis(self): | |
| 226 | + kpis = self.d.get("kpis") or [] | |
| 227 | + if not kpis: | |
| 228 | + return | |
| 229 | + self._section_title("Synthèse des indicateurs") | |
| 230 | + p = self.pdf | |
| 231 | + cols, gw, gh, gap = 3, 56, 26, 3 | |
| 232 | + x0, y = p.l_margin, p.get_y() | |
| 233 | + for i, k in enumerate(kpis[:9]): | |
| 234 | + x = x0 + (i % cols) * (gw + gap) | |
| 235 | + if i and i % cols == 0: | |
| 236 | + y += gh + gap | |
| 237 | + if y > 250: | |
| 238 | + p.add_page(); y = p.get_y() | |
| 239 | + self._card(x, y, gw, gh) | |
| 240 | + p.set_xy(x + 4, y + 4) | |
| 241 | + p.set_font("helvetica", "B", 14) | |
| 242 | + p.set_text_color(*INK) | |
| 243 | + val = k.get("value") | |
| 244 | + p.cell(gw - 8, 7, (_fr(val) if isinstance(val, (int, float)) else str(val)) + (" " + k["unit"] if k.get("unit") else "")) | |
| 245 | + p.set_xy(x + 4, y + 12) | |
| 246 | + p.set_font("helvetica", "", 7.6) | |
| 247 | + p.set_text_color(*INK2) | |
| 248 | + p.multi_cell(gw - 8, 3.6, str(k.get("label", ""))[:70]) | |
| 249 | + if k.get("delta_pct") is not None: | |
| 250 | + up = (k.get("direction") or ("up" if k["delta_pct"] >= 0 else "down")) == "up" | |
| 251 | + p.set_xy(x + 4, y + gh - 6.5) | |
| 252 | + p.set_font("helvetica", "B", 8) | |
| 253 | + p.set_text_color(*(GREEN if up else DANGER)) | |
| 254 | + arrow = "+" if k["delta_pct"] >= 0 else "" | |
| 255 | + p.cell(gw - 8, 4, f"{'▲' if up else '▼'} {arrow}{str(k['delta_pct']).replace('.', ',')} % vs période préc.") | |
| 256 | + p.set_y(y + gh + 8) | |
| 257 | + | |
| 258 | + def _line_chart(self, s): | |
| 259 | + p = self.pdf | |
| 260 | + pts = s.get("points") or [] | |
| 261 | + if len(pts) < 2: | |
| 262 | + return | |
| 263 | + if p.get_y() > 200: | |
| 264 | + p.add_page() | |
| 265 | + p.set_font("helvetica", "B", 10) | |
| 266 | + p.set_text_color(*INK) | |
| 267 | + p.cell(0, 6, s.get("title", "")) | |
| 268 | + p.ln(7) | |
| 269 | + x0, y0, w, h = p.l_margin, p.get_y(), 174, 52 | |
| 270 | + self._card(x0, y0, w, h, fill=WHITE) | |
| 271 | + cx, cy, cw, ch = x0 + 12, y0 + 6, w - 20, h - 16 | |
| 272 | + vals = [pt["v"] for pt in pts] + [c["v"] for c in (s.get("compare") or [])] | |
| 273 | + vmax = max(vals) or 1 | |
| 274 | + vmin = min(0, min(vals)) | |
| 275 | + rng = (vmax - vmin) or 1 | |
| 276 | + # grille + graduations | |
| 277 | + p.set_font("helvetica", "", 6.3) | |
| 278 | + p.set_text_color(*INK3) | |
| 279 | + p.set_draw_color(200, 200, 195) | |
| 280 | + p.set_line_width(0.15) | |
| 281 | + for g in range(5): | |
| 282 | + gy = cy + ch - ch * g / 4 | |
| 283 | + p.line(cx, gy, cx + cw, gy) | |
| 284 | + p.set_xy(x0 + 1, gy - 1.6) | |
| 285 | + p.cell(10, 3, _fr(vmin + rng * g / 4), align="R") | |
| 286 | + | |
| 287 | + def draw(series, color, width, dash=None): | |
| 288 | + n = len(series) | |
| 289 | + p.set_draw_color(*color) | |
| 290 | + p.set_line_width(width) | |
| 291 | + if dash: | |
| 292 | + p.set_dash_pattern(dash=1.2, gap=1.2) | |
| 293 | + last = None | |
| 294 | + for i, pt in enumerate(series): | |
| 295 | + px = cx + cw * (i / (n - 1)) | |
| 296 | + py = cy + ch - ch * ((pt["v"] - vmin) / rng) | |
| 297 | + if last: | |
| 298 | + p.line(last[0], last[1], px, py) | |
| 299 | + last = (px, py) | |
| 300 | + p.set_dash_pattern() | |
| 301 | + | |
| 302 | + if s.get("compare"): | |
| 303 | + draw(s["compare"], INK3, 0.35, dash=True) | |
| 304 | + draw(pts, self.accent, 0.7) | |
| 305 | + # libellés d'axe X (premier / milieu / dernier) | |
| 306 | + p.set_text_color(*INK3) | |
| 307 | + for frac, idx in ((0, 0), (0.5, len(pts) // 2), (1, -1)): | |
| 308 | + p.set_xy(cx + cw * frac - 9, cy + ch + 1.5) | |
| 309 | + p.cell(18, 3, str(pts[idx].get("t", ""))[:10], align="C") | |
| 310 | + p.set_y(y0 + h + 4) | |
| 311 | + if s.get("compare"): | |
| 312 | + p.set_font("helvetica", "", 6.8) | |
| 313 | + p.set_text_color(*INK3) | |
| 314 | + p.cell(0, 4, "— période courante (accent) · ---- période comparée") | |
| 315 | + p.ln(6) | |
| 316 | + else: | |
| 317 | + p.ln(2) | |
| 318 | + | |
| 319 | + def _bars(self, title, items, unit=""): | |
| 320 | + p = self.pdf | |
| 321 | + items = [it for it in (items or []) if isinstance(it.get("value"), (int, float))][:12] | |
| 322 | + if not items: | |
| 323 | + return | |
| 324 | + need = 10 + len(items) * 7 | |
| 325 | + if p.get_y() + need > 265: | |
| 326 | + p.add_page() | |
| 327 | + p.set_font("helvetica", "B", 10) | |
| 328 | + p.set_text_color(*INK) | |
| 329 | + p.cell(0, 6, title) | |
| 330 | + p.ln(8) | |
| 331 | + vmax = max(it["value"] for it in items) or 1 | |
| 332 | + for it in items: | |
| 333 | + y = p.get_y() | |
| 334 | + p.set_font("helvetica", "", 7.6) | |
| 335 | + p.set_text_color(*INK) | |
| 336 | + p.set_x(p.l_margin) | |
| 337 | + p.cell(46, 5, str(it["label"])[:34]) | |
| 338 | + bw = 96 * (it["value"] / vmax) | |
| 339 | + p.set_fill_color(*self.accent) | |
| 340 | + p.set_draw_color(*INK) | |
| 341 | + p.set_line_width(0.25) | |
| 342 | + p.rect(p.l_margin + 48, y + 0.7, max(bw, 0.8), 3.6, style="DF") | |
| 343 | + p.set_xy(p.l_margin + 148, y) | |
| 344 | + p.set_font("helvetica", "B", 7.6) | |
| 345 | + p.cell(26, 5, _fr(it["value"]) + (" " + unit if unit else ""), align="R") | |
| 346 | + p.ln(6.4) | |
| 347 | + p.ln(3) | |
| 348 | + | |
| 349 | + def _donut(self, b): | |
| 350 | + # anneau vectoriel simple (arcs) + légende | |
| 351 | + p = self.pdf | |
| 352 | + items = [it for it in (b.get("items") or []) if it.get("value")][:8] | |
| 353 | + total = sum(it["value"] for it in items) | |
| 354 | + if not items or not total: | |
| 355 | + return | |
| 356 | + if p.get_y() > 210: | |
| 357 | + p.add_page() | |
| 358 | + p.set_font("helvetica", "B", 10) | |
| 359 | + p.set_text_color(*INK) | |
| 360 | + p.cell(0, 6, b.get("title", "")) | |
| 361 | + p.ln(8) | |
| 362 | + cx, cy, r = p.l_margin + 26, p.get_y() + 24, 20 | |
| 363 | + shades = [1.0, 0.78, 0.58, 0.42, 0.30, 0.22, 0.15, 0.10] | |
| 364 | + start = -90.0 | |
| 365 | + for i, it in enumerate(items): | |
| 366 | + frac = it["value"] / total | |
| 367 | + f = shades[i % len(shades)] | |
| 368 | + col = tuple(int(PAPER[j] + (self.accent[j] - PAPER[j]) * f) for j in range(3)) | |
| 369 | + steps = max(2, int(72 * frac)) | |
| 370 | + p.set_fill_color(*col) | |
| 371 | + p.set_draw_color(*col) | |
| 372 | + for st in range(steps): | |
| 373 | + a0 = math.radians(start + 360 * frac * st / steps) | |
| 374 | + a1 = math.radians(start + 360 * frac * (st + 1) / steps) | |
| 375 | + p.polygon( | |
| 376 | + [(cx, cy), | |
| 377 | + (cx + r * math.cos(a0), cy + r * math.sin(a0)), | |
| 378 | + (cx + r * math.cos(a1), cy + r * math.sin(a1))], | |
| 379 | + style="DF", | |
| 380 | + ) | |
| 381 | + start += 360 * frac | |
| 382 | + p.set_fill_color(*WHITE) | |
| 383 | + p.set_draw_color(*INK) | |
| 384 | + p.set_line_width(0.4) | |
| 385 | + p.ellipse(cx - 11, cy - 11, 22, 22, style="DF") | |
| 386 | + p.ellipse(cx - r, cy - r, 2 * r, 2 * r, style="D") | |
| 387 | + # légende | |
| 388 | + ly = cy - 22 | |
| 389 | + for i, it in enumerate(items): | |
| 390 | + f = shades[i % len(shades)] | |
| 391 | + col = tuple(int(PAPER[j] + (self.accent[j] - PAPER[j]) * f) for j in range(3)) | |
| 392 | + p.set_fill_color(*col) | |
| 393 | + p.set_draw_color(*INK) | |
| 394 | + p.rect(p.l_margin + 60, ly + 0.8, 4, 4, style="DF") | |
| 395 | + p.set_xy(p.l_margin + 66, ly) | |
| 396 | + p.set_font("helvetica", "", 7.6) | |
| 397 | + p.set_text_color(*INK) | |
| 398 | + pct = 100 * it["value"] / total | |
| 399 | + p.cell(0, 5.6, f"{str(it['label'])[:40]} — {_fr(it['value'])} ({pct:.1f} %)".replace(".", ",")) | |
| 400 | + ly += 5.6 | |
| 401 | + p.set_y(max(cy + r, ly) + 6) | |
| 402 | + | |
| 403 | + def _table(self, t): | |
| 404 | + p = self.pdf | |
| 405 | + cols = t.get("columns") or [] | |
| 406 | + rows = t.get("rows") or [] | |
| 407 | + if not cols or not rows: | |
| 408 | + return | |
| 409 | + self._section_title(t.get("title", "Tableau")) | |
| 410 | + w = 174 / len(cols) | |
| 411 | + def head(): | |
| 412 | + p.set_font("helvetica", "B", 7.6) | |
| 413 | + p.set_fill_color(*INK) | |
| 414 | + p.set_text_color(*WHITE) | |
| 415 | + for c in cols: | |
| 416 | + p.cell(w, 6, " " + str(c)[:30], fill=True) | |
| 417 | + p.ln(6) | |
| 418 | + head() | |
| 419 | + p.set_text_color(*INK) | |
| 420 | + for i, row in enumerate(rows[:200]): | |
| 421 | + if p.get_y() > 262: | |
| 422 | + p.add_page() | |
| 423 | + head() | |
| 424 | + p.set_text_color(*INK) | |
| 425 | + p.set_font("helvetica", "", 7.4) | |
| 426 | + p.set_fill_color(*(SURFACE2 if i % 2 else WHITE)) | |
| 427 | + for cell in row: | |
| 428 | + txt = _fr(cell) if isinstance(cell, (int, float)) else str(cell) | |
| 429 | + p.cell(w, 5.4, " " + txt[:34], fill=True) | |
| 430 | + p.ln(5.4) | |
| 431 | + if len(rows) > 200: | |
| 432 | + p.set_font("helvetica", "", 7) | |
| 433 | + p.set_text_color(*INK3) | |
| 434 | + p.cell(0, 5, f"… {len(rows) - 200} lignes supplémentaires non imprimées") | |
| 435 | + p.ln(6) | |
| 436 | + | |
| 437 | + def _records(self): | |
| 438 | + recs = self.d.get("records") or [] | |
| 439 | + if not recs: | |
| 440 | + return | |
| 441 | + self._section_title("Records & faits marquants") | |
| 442 | + p = self.pdf | |
| 443 | + for r in recs[:10]: | |
| 444 | + if p.get_y() > 258: | |
| 445 | + p.add_page() | |
| 446 | + y = p.get_y() | |
| 447 | + self._card(p.l_margin, y, 174, 11, fill=SURFACE2) | |
| 448 | + p.set_xy(p.l_margin + 4, y + 2) | |
| 449 | + p.set_font("helvetica", "", 8.6) | |
| 450 | + p.set_text_color(*INK2) | |
| 451 | + p.cell(96, 7, str(r.get("label", ""))[:70]) | |
| 452 | + p.set_font("helvetica", "B", 9) | |
| 453 | + p.set_text_color(*INK) | |
| 454 | + p.cell(52, 7, str(r.get("value", ""))[:36], align="R") | |
| 455 | + p.set_font("helvetica", "", 7.6) | |
| 456 | + p.set_text_color(*INK3) | |
| 457 | + p.cell(20, 7, str(r.get("date", "") or ""), align="R") | |
| 458 | + p.set_y(y + 13.5) | |
| 459 | + p.ln(4) | |
| 460 | + | |
| 461 | + def _final_page(self): | |
| 462 | + p = self.pdf | |
| 463 | + p.add_page() | |
| 464 | + self._kicker("Groupe KA · contact") | |
| 465 | + p.set_font("helvetica", "B", 15) | |
| 466 | + p.set_text_color(*INK) | |
| 467 | + p.cell(0, 8, "Coordonnées du Groupe KA") | |
| 468 | + p.ln(12) | |
| 469 | + for email, role in EMAILS: | |
| 470 | + p.set_font("helvetica", "B", 10.5) | |
| 471 | + p.set_text_color(*INK) | |
| 472 | + p.cell(0, 6, email) | |
| 473 | + p.ln(5.5) | |
| 474 | + p.set_font("helvetica", "", 8.6) | |
| 475 | + p.set_text_color(*INK3) | |
| 476 | + p.cell(0, 5, role) | |
| 477 | + p.ln(8) | |
| 478 | + p.ln(2) | |
| 479 | + p.set_font("helvetica", "B", 10) | |
| 480 | + p.set_text_color(*GREEN) | |
| 481 | + p.cell(0, 6, "groupe-ka.com — le portail de l'écosystème ·Ka") | |
| 482 | + p.ln(10) | |
| 483 | + p.set_draw_color(*self.accent) | |
| 484 | + p.set_line_width(0.8) | |
| 485 | + p.line(p.l_margin, p.get_y(), p.l_margin + 30, p.get_y()) | |
| 486 | + p.ln(4) | |
| 487 | + p.set_font("helvetica", "", 8.6) | |
| 488 | + p.set_text_color(*INK2) | |
| 489 | + p.multi_cell(160, 4.6, DISCLAIMER) | |
| 490 | + p.ln(4) | |
| 491 | + p.set_font("helvetica", "", 7.6) | |
| 492 | + p.set_text_color(*INK3) | |
| 493 | + p.multi_cell( | |
| 494 | + 160, 4.2, | |
| 495 | + "Mentions : rapport généré automatiquement à partir des données réelles de la " | |
| 496 | + "plateforme au moment indiqué en couverture. Conditions d'utilisation, politique " | |
| 497 | + "de confidentialité et protection des renseignements personnels (Loi 25) : " | |
| 498 | + "groupe-ka.com/conditions · /confidentialite · /loi-25.", | |
| 499 | + ) | |
| 500 | + | |
| 501 | + def _toc_page(self): | |
| 502 | + # insérée après coup ? fpdf ne réordonne pas : on écrit le sommaire en | |
| 503 | + # page 2 en réservant la page lors du build (voir build()). | |
| 504 | + pass | |
| 505 | + | |
| 506 | + def build(self) -> bytes: | |
| 507 | + p = self.pdf | |
| 508 | + p.alias_nb_pages() | |
| 509 | + self._cover() | |
| 510 | + if self.mode == "synthese": | |
| 511 | + p.add_page() | |
| 512 | + self._kpis() | |
| 513 | + self._records() | |
| 514 | + self._final_page() | |
| 515 | + else: | |
| 516 | + p.add_page() | |
| 517 | + toc_page_no = p.page_no() | |
| 518 | + p.add_page() | |
| 519 | + self._kpis() | |
| 520 | + for s in self.d.get("series") or []: | |
| 521 | + if s.get("kind") == "bar": | |
| 522 | + self._bars(s.get("title", ""), [{"label": pt.get("t"), "value": pt.get("v")} for pt in (s.get("points") or [])], s.get("unit", "")) | |
| 523 | + else: | |
| 524 | + self._line_chart(s) | |
| 525 | + for b in self.d.get("breakdowns") or []: | |
| 526 | + if b.get("kind") == "donut": | |
| 527 | + self._donut(b) | |
| 528 | + else: | |
| 529 | + self._bars(b.get("title", ""), b.get("items")) | |
| 530 | + geo = self.d.get("geo") | |
| 531 | + if geo: | |
| 532 | + self._bars(geo.get("title", "Répartition géographique"), geo.get("items")) | |
| 533 | + for t in self.d.get("tables") or []: | |
| 534 | + self._table(t) | |
| 535 | + self._records() | |
| 536 | + self._final_page() | |
| 537 | + # sommaire écrit sur la page réservée (page 2) | |
| 538 | + last_page = p.page | |
| 539 | + p.page = toc_page_no | |
| 540 | + p.set_y(22) | |
| 541 | + p.set_font("helvetica", "B", 15) | |
| 542 | + p.set_text_color(*INK) | |
| 543 | + p.cell(0, 8, "Sommaire") | |
| 544 | + p.ln(12) | |
| 545 | + p.set_font("helvetica", "", 9.5) | |
| 546 | + for title, page_no in self.toc: | |
| 547 | + p.set_text_color(*INK) | |
| 548 | + p.cell(140, 6.5, title[:80]) | |
| 549 | + p.set_text_color(*INK3) | |
| 550 | + p.cell(0, 6.5, str(page_no), align="R") | |
| 551 | + p.ln(6.5) | |
| 552 | + p.page = last_page | |
| 553 | + return bytes(p.output()) | |
| 554 | + | |
| 555 | + | |
| 556 | +def filename(platform_id: str, period: str) -> str: | |
| 557 | + today = datetime.now(ZoneInfo("America/Toronto")).strftime("%Y-%m-%d") | |
| 558 | + return f"groupe-ka_{platform_id}_stats_{period}_{today}.pdf" | |
modified
frontend/src/pages/Stats.tsx
+170 −131
@@ -1,17 +1,40 @@ | ||
| 1 | 1 | // ----------------------------------------------------------------------------- |
| 2 | 2 | // Immo-Ka — Agrégateur de propriétés à vendre (province de Québec) |
| 3 | 3 | // Auteur : Simon-Pierre Boucher — contact@spboucher.ai |
| 4 | −// pages/Stats.tsx : statistiques du marché agrégé (totaux + répartitions) | |
| 5 | −// Les répartitions sont calculées à partir de /api/facets et /api/listings | |
| 6 | −// (échantillon trié par prix) — le backend n'expose pas d'agrégats détaillés. | |
| 4 | +// pages/Stats.tsx : tableau de bord analytique du module Stats commun Groupe KA | |
| 5 | +// (voir ka/stats/SPEC.md). Consomme /api/stats/dashboard (période → refetch) | |
| 6 | +// et propose l'export PDF /api/stats/report via le kit ka/stats/kacharts. | |
| 7 | +// Section spécifique Immo-Ka conservée : écart prix demandé vs Vrai-Prix. | |
| 7 | 8 | // ----------------------------------------------------------------------------- |
| 8 | −import { useEffect, useMemo, useState } from "react"; | |
| 9 | −import { Link } from "react-router-dom"; | |
| 9 | +import { useCallback, useEffect, useState } from "react"; | |
| 10 | +import type { CSSProperties } from "react"; | |
| 10 | 11 | import { |
| 11 | − Facets, Listing, Stats, VpBanniere, | |
| 12 | − fetchFacets, fetchListings, fetchSources, fetchStats, | |
| 13 | − registerSourceNames, sourceName, | |
| 14 | −} from "../api"; | |
| 12 | + BarChart, CalendarHeatmap, DataTable, Donut, EmptyBlock, Fraicheur, | |
| 13 | + KpiCard, LineChart, PdfButton, PeriodSelector, RecordCard, | |
| 14 | +} from "../ka/stats/kacharts"; | |
| 15 | +import type { BreakItem, Kpi, RecordFact, Serie, TableSpec } from "../ka/stats/kacharts"; | |
| 16 | +import { fetchStats } from "../api"; | |
| 17 | +import type { Stats as LegacyStats, VpBanniere } from "../api"; | |
| 18 | + | |
| 19 | +interface Breakdown { id: string; title: string; kind: string; items: BreakItem[] } | |
| 20 | +interface Dashboard { | |
| 21 | + updated: string; | |
| 22 | + period: { from: string; to: string; label: string; observed_from?: string }; | |
| 23 | + kpis: Kpi[]; | |
| 24 | + series: Serie[]; | |
| 25 | + breakdowns: Breakdown[]; | |
| 26 | + geo?: { title: string; items: BreakItem[] }; | |
| 27 | + heatmap?: { title: string; cells: { date: string; value: number }[] }; | |
| 28 | + tables: TableSpec[]; | |
| 29 | + records: RecordFact[]; | |
| 30 | +} | |
| 31 | + | |
| 32 | +const gridAutoFit = (min: number): CSSProperties => ({ | |
| 33 | + display: "grid", | |
| 34 | + gridTemplateColumns: `repeat(auto-fit, minmax(min(100%, ${min}px), 1fr))`, | |
| 35 | + gap: 14, | |
| 36 | + minWidth: 0, | |
| 37 | +}); | |
| 15 | 38 | |
| 16 | 39 | // --- Survalorisation vs Vrai-Prix : jauge divergente par bannière ------------ |
| 17 | 40 | const VP_SCALE = 30; // la jauge couvre −30 % … +30 % |
@@ -45,144 +68,160 @@ function VpGauge({ b }: { b: VpBanniere }) { | ||
| 45 | 68 | ); |
| 46 | 69 | } |
| 47 | 70 | |
| 48 | −function Bars({ rows, unit }: { rows: { key: string; n: number; href?: string }[]; unit?: string }) { | |
| 49 | − const max = Math.max(1, ...rows.map((r) => r.n)); | |
| 71 | +function VraiPrixBlock({ legacy }: { legacy: LegacyStats | null }) { | |
| 72 | + const vp = legacy?.vraiprix; | |
| 73 | + if (!vp?.bannieres?.length) return null; | |
| 50 | 74 | return ( |
| 51 | − <div className="hbars"> | |
| 52 | − {rows.map((r) => ( | |
| 53 | − <div className="hbar-row" key={r.key}> | |
| 54 | − <div className="hbar-label">{r.href ? <Link to={r.href}>{r.key}</Link> : r.key}</div> | |
| 55 | − <div className="hbar-track"><span className="hbar-fill" style={{ width: `${(r.n / max) * 100}%` }} /></div> | |
| 56 | − <div className="hbar-value">{r.n.toLocaleString("fr-CA")}{unit ? <em> {unit}</em> : ""}</div> | |
| 57 | − </div> | |
| 58 | − ))} | |
| 75 | + <div className="viz-card"> | |
| 76 | + <h2>Prix demandé vs valeur Vrai-Prix</h2> | |
| 77 | + <div className="viz-sub"> | |
| 78 | + Écart médian entre le prix demandé et l'estimation indépendante Vrai-Prix, par bannière. | |
| 79 | + La bande grise couvre la moitié centrale des annonces (P25–P75) ; le trait est la médiane. | |
| 80 | + </div> | |
| 81 | + <div className="vpg-axis"> | |
| 82 | + <div><span>−{VP_SCALE} %</span><span>estimation Vrai-Prix</span><span>+{VP_SCALE} %</span></div> | |
| 83 | + </div> | |
| 84 | + {vp.ensemble && <VpGauge b={vp.ensemble} />} | |
| 85 | + <div className="vpg-sep" /> | |
| 86 | + {vp.bannieres.map((b) => <VpGauge b={b} key={b.banniere} />)} | |
| 87 | + <div className="vpg-legend"> | |
| 88 | + <span><i className="vps-sous" /> sous l'estimation (≤ −5 %)</span> | |
| 89 | + <span><i className="vps-juste" /> dans l'estimation</span> | |
| 90 | + <span><i className="vps-sur" /> survalorisé (≥ +10 %)</span> | |
| 91 | + </div> | |
| 59 | 92 | </div> |
| 60 | 93 | ); |
| 61 | 94 | } |
| 62 | 95 | |
| 96 | +// --- Page --------------------------------------------------------------------- | |
| 63 | 97 | export default function StatsPage() { |
| 64 | − const [stats, setStats] = useState<Stats | null>(null); | |
| 65 | − const [facets, setFacets] = useState<Facets | null>(null); | |
| 66 | − const [sample, setSample] = useState<Listing[] | null>(null); | |
| 67 | − | |
| 68 | − useEffect(() => { | |
| 69 | − fetchSources().then((r) => registerSourceNames(r.sources)).catch(() => {}); | |
| 70 | − fetchStats().then(setStats).catch(() => {}); | |
| 71 | − fetchFacets().then(setFacets).catch(() => {}); | |
| 72 | − fetchListings({ sort: "price_asc" }, 2000, 0).then((r) => setSample(r.listings)).catch(() => {}); | |
| 73 | − }, []); | |
| 74 | − | |
| 75 | − const byType = useMemo(() => { | |
| 76 | − if (!sample) return []; | |
| 77 | − const m = new Map<string, number>(); | |
| 78 | − for (const l of sample) if (l.property_type) m.set(l.property_type, (m.get(l.property_type) ?? 0) + 1); | |
| 79 | − return [...m.entries()].map(([key, n]) => ({ key, n, href: `/?property_type=${encodeURIComponent(key)}` })) | |
| 80 | − .sort((a, b) => b.n - a.n).slice(0, 12); | |
| 81 | − }, [sample]); | |
| 82 | − | |
| 83 | − const byCity = useMemo(() => { | |
| 84 | − if (!sample) return []; | |
| 85 | − const m = new Map<string, number>(); | |
| 86 | − for (const l of sample) if (l.city) m.set(l.city, (m.get(l.city) ?? 0) + 1); | |
| 87 | − return [...m.entries()].map(([key, n]) => ({ key, n, href: `/?city=${encodeURIComponent(key)}` })) | |
| 88 | − .sort((a, b) => b.n - a.n).slice(0, 15); | |
| 89 | − }, [sample]); | |
| 90 | − | |
| 91 | − const bySource = useMemo(() => { | |
| 92 | − if (!facets) return []; | |
| 93 | − return facets.sources.map((s) => ({ key: sourceName(s.source), n: s.n, href: `/?source=${encodeURIComponent(s.source)}` })) | |
| 94 | − .sort((a, b) => b.n - a.n).slice(0, 15); | |
| 95 | − }, [facets]); | |
| 96 | − | |
| 97 | − const tiles = [ | |
| 98 | − { v: stats ? stats.total.toLocaleString("fr-CA") : "…", k: "Propriétés à vendre", hero: true }, | |
| 99 | − { v: stats ? String(stats.sources) : "…", k: "Agences agrégées" }, | |
| 100 | − { v: stats ? stats.cities.toLocaleString("fr-CA") : "…", k: "Villes couvertes" }, | |
| 101 | − { v: stats?.avg_price != null ? `${Math.round(stats.avg_price).toLocaleString("fr-CA")} $` : "…", k: "Prix moyen demandé" }, | |
| 102 | − { v: stats?.min_price != null ? `${Math.round(stats.min_price).toLocaleString("fr-CA")} $` : "…", k: "Prix minimum" }, | |
| 103 | − { v: stats?.max_price != null ? `${Math.round(stats.max_price).toLocaleString("fr-CA")} $` : "…", k: "Prix maximum" }, | |
| 104 | − ]; | |
| 98 | + const [period, setPeriod] = useState("30j"); | |
| 99 | + const [custom, setCustom] = useState<{ from: string; to: string }>({ from: "", to: "" }); | |
| 100 | + const [dash, setDash] = useState<Dashboard | null>(null); | |
| 101 | + const [legacy, setLegacy] = useState<LegacyStats | null>(null); | |
| 102 | + const [loading, setLoading] = useState(true); | |
| 103 | + const [error, setError] = useState(false); | |
| 104 | + | |
| 105 | + const useCustom = Boolean(custom.from && custom.to); | |
| 106 | + | |
| 107 | + const load = useCallback(() => { | |
| 108 | + setLoading(true); | |
| 109 | + setError(false); | |
| 110 | + const p = new URLSearchParams(); | |
| 111 | + if (useCustom) { | |
| 112 | + p.set("from", custom.from); | |
| 113 | + p.set("to", custom.to); | |
| 114 | + } else { | |
| 115 | + p.set("period", period); | |
| 116 | + } | |
| 117 | + fetch(`/api/stats/dashboard?${p}`) | |
| 118 | + .then((r) => { if (!r.ok) throw new Error(String(r.status)); return r.json(); }) | |
| 119 | + .then((d: Dashboard) => setDash(d)) | |
| 120 | + .catch(() => setError(true)) | |
| 121 | + .finally(() => setLoading(false)); | |
| 122 | + }, [period, custom.from, custom.to, useCustom]); | |
| 123 | + | |
| 124 | + useEffect(() => { load(); }, [load]); | |
| 125 | + useEffect(() => { fetchStats().then(setLegacy).catch(() => {}); }, []); | |
| 126 | + | |
| 127 | + const lines = dash?.series?.filter((s) => (s.kind ?? "line") === "line") ?? []; | |
| 128 | + const donuts = dash?.breakdowns?.filter((b) => b.kind === "donut") ?? []; | |
| 129 | + const barBds = dash?.breakdowns?.filter((b) => b.kind !== "donut") ?? []; | |
| 105 | 130 | |
| 106 | 131 | return ( |
| 107 | − <div className="container stats-page"> | |
| 108 | − <span className="kicker">Le marché agrégé</span> | |
| 109 | − <h1 className="stats-title">Statistiques</h1> | |
| 110 | − <p className="sub"> | |
| 111 | − Portrait en direct des propriétés à vendre agrégées par Immo-Ka à travers toutes les | |
| 112 | − agences connectées. Répartitions calculées sur un échantillon des annonces actives. | |
| 113 | − </p> | |
| 114 | − | |
| 115 | − <div className="tiles"> | |
| 116 | − {tiles.map((t) => ( | |
| 117 | − <div className={`tile ${t.hero ? "hero-tile" : ""}`} key={t.k}> | |
| 118 | − <div className="tile-v">{t.v}</div> | |
| 119 | − <div className="tile-k">{t.k}</div> | |
| 120 | − </div> | |
| 121 | − ))} | |
| 122 | − </div> | |
| 123 | − | |
| 124 | − <div className="viz-grid"> | |
| 125 | − <div className="viz-card"> | |
| 126 | − <h2>Par type de propriété</h2> | |
| 127 | − <div className="viz-sub">Échantillon des annonces actives</div> | |
| 128 | − {byType.length ? <Bars rows={byType} /> : <p className="fine">Chargement…</p>} | |
| 129 | − </div> | |
| 130 | − <div className="viz-card"> | |
| 131 | − <h2>Par agence</h2> | |
| 132 | − <div className="viz-sub">Annonces actives (après déduplication)</div> | |
| 133 | − {bySource.length ? <Bars rows={bySource} /> : <p className="fine">Chargement…</p>} | |
| 132 | + <div className="container stats-page" style={{ display: "grid", gap: 22, minWidth: 0 }}> | |
| 133 | + {/* --- en-tête : titre + fraîcheur + export PDF --------------------------- */} | |
| 134 | + <header style={{ minWidth: 0 }}> | |
| 135 | + <span className="kicker">Le marché agrégé</span> | |
| 136 | + <h1 className="stats-title">Statistiques</h1> | |
| 137 | + <p className="sub" style={{ marginBottom: 14 }}> | |
| 138 | + Tableau de bord en direct des propriétés à vendre agrégées par Immo-Ka — | |
| 139 | + volumes, prix, retraits et tension du marché, calculés sur les données réelles | |
| 140 | + de la plateforme{dash?.period?.observed_from ? ` (collecte depuis le ${dash.period.observed_from})` : ""}. | |
| 141 | + </p> | |
| 142 | + <div style={{ display: "flex", flexWrap: "wrap", gap: 12, alignItems: "center", justifyContent: "space-between" }}> | |
| 143 | + <PdfButton period={useCustom ? "personnalise" : period} | |
| 144 | + from={useCustom ? custom.from : undefined} | |
| 145 | + to={useCustom ? custom.to : undefined} /> | |
| 146 | + {dash && <Fraicheur updated={dash.updated} onRefresh={load} />} | |
| 134 | 147 | </div> |
| 135 | − </div> | |
| 148 | + </header> | |
| 136 | 149 | |
| 137 | − {stats?.vraiprix?.bannieres && stats.vraiprix.bannieres.length > 0 && ( | |
| 138 | − <div className="viz-card"> | |
| 139 | − <h2>Prix demandé vs valeur Vrai-Prix</h2> | |
| 140 | − <div className="viz-sub"> | |
| 141 | − Écart médian entre le prix demandé et l'estimation indépendante Vrai-Prix, par bannière. | |
| 142 | − La bande grise couvre la moitié centrale des annonces (P25–P75) ; le trait est la médiane. | |
| 143 | − </div> | |
| 144 | − <div className="vpg-axis"> | |
| 145 | − <div><span>−{VP_SCALE} %</span><span>estimation Vrai-Prix</span><span>+{VP_SCALE} %</span></div> | |
| 146 | − </div> | |
| 147 | − {stats.vraiprix.ensemble && <VpGauge b={stats.vraiprix.ensemble} />} | |
| 148 | − <div className="vpg-sep" /> | |
| 149 | − {stats.vraiprix.bannieres.map((b) => <VpGauge b={b} key={b.banniere} />)} | |
| 150 | − <div className="vpg-legend"> | |
| 151 | − <span><i className="vps-sous" /> sous l'estimation (≤ −5 %)</span> | |
| 152 | − <span><i className="vps-juste" /> dans l'estimation</span> | |
| 153 | − <span><i className="vps-sur" /> survalorisé (≥ +10 %)</span> | |
| 154 | − </div> | |
| 150 | + {error && ( | |
| 151 | + <div className="notice"> | |
| 152 | + <h2>Statistiques indisponibles</h2> | |
| 153 | + <p>Le tableau de bord n'a pas pu être chargé. <button className="btn btn-ghost" onClick={load}>Réessayer</button></p> | |
| 155 | 154 | </div> |
| 156 | 155 | )} |
| 157 | 156 | |
| 158 | − <div className="viz-card"> | |
| 159 | − <h2>Par ville</h2> | |
| 160 | − <div className="viz-sub">Top 15 · échantillon des annonces actives</div> | |
| 161 | − {byCity.length ? <Bars rows={byCity} /> : <p className="fine">Chargement…</p>} | |
| 162 | − </div> | |
| 157 | + {/* --- 1. bandeau KPI ------------------------------------------------------ */} | |
| 158 | + {dash?.kpis?.length ? ( | |
| 159 | + <section aria-label="Indicateurs clés" style={{ ...gridAutoFit(190), opacity: loading ? 0.55 : 1, transition: "opacity 0.2s" }}> | |
| 160 | + {dash.kpis.map((k) => <KpiCard k={k} key={k.id} />)} | |
| 161 | + </section> | |
| 162 | + ) : !error && ( | |
| 163 | + <section style={gridAutoFit(190)}> | |
| 164 | + {[0, 1, 2, 3].map((i) => <EmptyBlock key={i} title="Chargement…" />)} | |
| 165 | + </section> | |
| 166 | + )} | |
| 163 | 167 | |
| 164 | − {stats?.recent_syncs && stats.recent_syncs.length > 0 && ( | |
| 165 | − <div className="viz-card"> | |
| 166 | − <h2>Synchronisations récentes</h2> | |
| 167 | − <div className="viz-sub">Journal du moteur d'agrégation</div> | |
| 168 | − <div className="viz-table"> | |
| 169 | − <table> | |
| 170 | − <thead><tr><th>Agence</th><th>Trouvées</th><th>Ajoutées</th><th>MàJ</th><th>Retirées</th><th>Quand</th></tr></thead> | |
| 171 | − <tbody> | |
| 172 | − {stats.recent_syncs.slice(0, 15).map((s, i) => ( | |
| 173 | − <tr key={i}> | |
| 174 | − <td>{sourceName(s.source)}</td> | |
| 175 | − <td>{s.found}</td><td>{s.added}</td><td>{s.updated}</td><td>{s.removed}</td> | |
| 176 | − <td style={{ color: "var(--ink-3)" }}>{new Date(s.ts * 1000).toLocaleString("fr-CA")}</td> | |
| 177 | − </tr> | |
| 178 | − ))} | |
| 179 | − </tbody> | |
| 180 | − </table> | |
| 181 | − </div> | |
| 182 | − </div> | |
| 168 | + {/* --- 2. sélecteur de période --------------------------------------------- */} | |
| 169 | + <section aria-label="Période analysée"> | |
| 170 | + <p className="klabel" style={{ margin: "0 0 8px" }}> | |
| 171 | + Période analysée{dash ? ` — ${dash.period.label} (${dash.period.from} → ${dash.period.to})` : ""} | |
| 172 | + </p> | |
| 173 | + <PeriodSelector | |
| 174 | + value={useCustom ? "" : period} | |
| 175 | + onChange={(p) => { setCustom({ from: "", to: "" }); setPeriod(p); }} | |
| 176 | + custom={custom} | |
| 177 | + onCustom={(from, to) => setCustom({ from, to })} | |
| 178 | + /> | |
| 179 | + </section> | |
| 180 | + | |
| 181 | + {/* --- 3. courbes d'évolution ----------------------------------------------- */} | |
| 182 | + {dash && ( | |
| 183 | + <section aria-label="Évolution" style={gridAutoFit(360)}> | |
| 184 | + {lines.length | |
| 185 | + ? lines.map((s) => <LineChart serie={s} key={s.id} />) | |
| 186 | + : <EmptyBlock title="Évolution quotidienne" />} | |
| 187 | + </section> | |
| 188 | + )} | |
| 189 | + | |
| 190 | + {/* --- répartitions : anneau + barres ---------------------------------------- */} | |
| 191 | + {dash && ( | |
| 192 | + <section aria-label="Répartitions" style={gridAutoFit(340)}> | |
| 193 | + {donuts.map((b) => <Donut title={b.title} items={b.items} key={b.id} />)} | |
| 194 | + {barBds.map((b) => <BarChart title={b.title} items={b.items} key={b.id} />)} | |
| 195 | + </section> | |
| 183 | 196 | )} |
| 184 | 197 | |
| 185 | − <p className="stats-foot">Mise à jour automatique — chaque fiche renvoie à l'annonce originale de l'agence.</p> | |
| 198 | + {/* --- 4. répartition géographique ------------------------------------------- */} | |
| 199 | + {dash?.geo && <BarChart title={dash.geo.title} items={dash.geo.items} unit="annonces" />} | |
| 200 | + | |
| 201 | + {/* --- calendrier de chaleur --------------------------------------------------- */} | |
| 202 | + {dash?.heatmap && <CalendarHeatmap title={dash.heatmap.title} cells={dash.heatmap.cells} />} | |
| 203 | + | |
| 204 | + {/* --- spécifique Immo-Ka : croisement Vrai-Prix ------------------------------- */} | |
| 205 | + <VraiPrixBlock legacy={legacy} /> | |
| 206 | + | |
| 207 | + {/* --- 5. tableaux détaillés ----------------------------------------------------- */} | |
| 208 | + {dash?.tables?.map((t) => <DataTable spec={t} key={t.id} />)} | |
| 209 | + | |
| 210 | + {/* --- 6. records & faits marquants ----------------------------------------------- */} | |
| 211 | + {dash?.records?.length ? ( | |
| 212 | + <section aria-label="Records et faits marquants"> | |
| 213 | + <p className="klabel" style={{ margin: "0 0 8px" }}>Records & faits marquants</p> | |
| 214 | + <div style={gridAutoFit(300)}> | |
| 215 | + {dash.records.map((r, i) => <RecordCard r={r} key={i} />)} | |
| 216 | + </div> | |
| 217 | + </section> | |
| 218 | + ) : null} | |
| 219 | + | |
| 220 | + <p className="stats-foot"> | |
| 221 | + Mise à jour automatique — statistiques calculées sur les annonces agrégées | |
| 222 | + (doublons d'agences exclus, « prix sur demande » exclus). Chaque fiche renvoie | |
| 223 | + à l'annonce originale de l'agence. | |
| 224 | + </p> | |
| 186 | 225 | </div> |
| 187 | 226 | ); |
| 188 | 227 | } |
added
immoka/kapdf.py
+558 −0
@@ -0,0 +1,558 @@ | ||
| 1 | +# Auteur : Simon-Pierre Boucher — contact@spboucher.ai | |
| 2 | +# ka-ui/stats/kapdf.py — moteur PDF commun Groupe KA (fpdf2). | |
| 3 | +# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit | |
| 4 | +# le rapport estampillé Groupe-KA : couverture, sommaire, KPI, graphiques | |
| 5 | +# VECTORIELS (courbes/barres/anneaux), tableaux paginés, records, page de fin. | |
| 6 | +# Usage : | |
| 7 | +# from kapdf import GroupeKAReport | |
| 8 | +# pdf_bytes = GroupeKAReport(site={"wordmark":"Lou·Ka","accent":"#ff6a00", | |
| 9 | +# "domain":"www.lou-ka.com","tagline":"…"}, dashboard=dash_json, | |
| 10 | +# mode="complet").build() | |
| 11 | +# Dépendance : pip install fpdf2 (aucune autre) | |
| 12 | +from __future__ import annotations | |
| 13 | + | |
| 14 | +import math | |
| 15 | +from datetime import datetime | |
| 16 | +from zoneinfo import ZoneInfo | |
| 17 | + | |
| 18 | +from fpdf import FPDF | |
| 19 | + | |
| 20 | +INK = (20, 24, 20) | |
| 21 | +INK2 = (77, 85, 81) | |
| 22 | +INK3 = (139, 146, 140) | |
| 23 | +PAPER = (245, 243, 238) | |
| 24 | +SURFACE2 = (250, 249, 245) | |
| 25 | +GREEN = (28, 92, 65) | |
| 26 | +DANGER = (179, 66, 58) | |
| 27 | +WHITE = (255, 255, 255) | |
| 28 | + | |
| 29 | +EMAILS = [ | |
| 30 | + ("contact@groupe-ka.com", "Projets, partenariats & données"), | |
| 31 | + ("info@groupe-ka.com", "Médias & questions générales"), | |
| 32 | + ("admin@groupe-ka.com", "Légal, vie privée & Loi 25"), | |
| 33 | +] | |
| 34 | +DISCLAIMER = ( | |
| 35 | + "Groupe KA est un agrégateur de contenu : nous ne vendons rien, ne louons " | |
| 36 | + "rien et ne sommes partie à aucune transaction. Données lues à la source, " | |
| 37 | + "rien d'inventé, tout est traçable." | |
| 38 | +) | |
| 39 | + | |
| 40 | + | |
| 41 | +def _hex(c: str) -> tuple[int, int, int]: | |
| 42 | + c = c.lstrip("#") | |
| 43 | + return tuple(int(c[i : i + 2], 16) for i in (0, 2, 4)) # type: ignore | |
| 44 | + | |
| 45 | + | |
| 46 | +def _fr(n) -> str: | |
| 47 | + if isinstance(n, float) and not n.is_integer(): | |
| 48 | + return f"{n:,.2f}".replace(",", " ").replace(".", ",") | |
| 49 | + return f"{int(n):,}".replace(",", " ") | |
| 50 | + | |
| 51 | + | |
| 52 | +_SUBST = { | |
| 53 | + "—": "-", "–": "-", "→": "->", "▲": "+", "▼": "-", | |
| 54 | + "…": "...", "’": "'", "‘": "'", "“": '"', "”": '"', | |
| 55 | + "œ": "oe", "Œ": "OE", "−": "-", " ": " ", " ": " ", | |
| 56 | +} | |
| 57 | + | |
| 58 | + | |
| 59 | +def _latin1(s: str) -> str: | |
| 60 | + for k, v in _SUBST.items(): | |
| 61 | + s = s.replace(k, v) | |
| 62 | + return s.encode("latin-1", "replace").decode("latin-1") | |
| 63 | + | |
| 64 | + | |
| 65 | +class _PDF(FPDF): | |
| 66 | + """FPDF avec en-tête/pied Groupe-KA sur chaque page (sauf couverture). | |
| 67 | + Les polices core sont latin-1 : normalize_text sanitise en amont.""" | |
| 68 | + | |
| 69 | + def normalize_text(self, text): | |
| 70 | + return super().normalize_text(_latin1(text)) | |
| 71 | + | |
| 72 | + def __init__(self, brand: str, accent: tuple, period_label: str): | |
| 73 | + super().__init__(orientation="P", unit="mm", format="A4") | |
| 74 | + self.brand = brand | |
| 75 | + self.accent = accent | |
| 76 | + self.period_label = period_label | |
| 77 | + self.cover_mode = False | |
| 78 | + self.set_margins(18, 20, 18) | |
| 79 | + self.set_auto_page_break(True, margin=22) | |
| 80 | + | |
| 81 | + def header(self): | |
| 82 | + if self.cover_mode: | |
| 83 | + return | |
| 84 | + self.set_font("helvetica", "B", 8.5) | |
| 85 | + self.set_text_color(*INK) | |
| 86 | + self.set_xy(18, 9) | |
| 87 | + self.cell(0, 5, f"Groupe KA · {self.brand}") | |
| 88 | + self.set_font("helvetica", "", 8) | |
| 89 | + self.set_text_color(*INK3) | |
| 90 | + self.set_xy(18, 9) | |
| 91 | + self.cell(0, 5, "Rapport statistique", align="R") | |
| 92 | + self.set_draw_color(*INK) | |
| 93 | + self.set_line_width(0.5) | |
| 94 | + self.line(18, 15.5, 192, 15.5) | |
| 95 | + self.set_y(20) | |
| 96 | + | |
| 97 | + def footer(self): | |
| 98 | + if self.cover_mode: | |
| 99 | + return | |
| 100 | + self.set_y(-15) | |
| 101 | + self.set_draw_color(*INK3) | |
| 102 | + self.set_line_width(0.2) | |
| 103 | + self.line(18, self.get_y() - 1.5, 192, self.get_y() - 1.5) | |
| 104 | + self.set_font("helvetica", "", 7.5) | |
| 105 | + self.set_text_color(*INK3) | |
| 106 | + year = datetime.now(ZoneInfo("America/Toronto")).year | |
| 107 | + self.cell(130, 5, f"© Groupe-KA — {year} — groupe-ka.com · {self.period_label}") | |
| 108 | + self.cell(0, 5, f"p. {self.page_no()}/{{nb}}", align="R") | |
| 109 | + | |
| 110 | + | |
| 111 | +class GroupeKAReport: | |
| 112 | + def __init__(self, site: dict, dashboard: dict, mode: str = "complet"): | |
| 113 | + self.site = site | |
| 114 | + self.d = dashboard | |
| 115 | + self.mode = mode | |
| 116 | + self.accent = _hex(site.get("accent", "#d9f26b")) | |
| 117 | + period = dashboard.get("period", {}) or {} | |
| 118 | + self.period_label = period.get("label") or "toute la période" | |
| 119 | + self.pdf = _PDF(site.get("wordmark", ""), self.accent, self.period_label) | |
| 120 | + self.toc: list[tuple[str, int]] = [] | |
| 121 | + | |
| 122 | + # ---------- primitives ---------- | |
| 123 | + def _card(self, x, y, w, h, fill=WHITE): | |
| 124 | + p = self.pdf | |
| 125 | + p.set_draw_color(*INK) | |
| 126 | + p.set_line_width(0.45) | |
| 127 | + p.set_fill_color(*fill) | |
| 128 | + p.rect(x, y, w, h, style="DF", round_corners=True, corner_radius=2.2) | |
| 129 | + | |
| 130 | + def _kicker(self, text): | |
| 131 | + p = self.pdf | |
| 132 | + p.set_font("helvetica", "B", 8) | |
| 133 | + p.set_text_color(*GREEN) | |
| 134 | + p.set_draw_color(*GREEN) | |
| 135 | + p.set_line_width(0.6) | |
| 136 | + y = p.get_y() + 2 | |
| 137 | + p.line(p.l_margin, y, p.l_margin + 7, y) | |
| 138 | + p.set_xy(p.l_margin + 9, y - 2.5) | |
| 139 | + p.cell(0, 5, text.upper()) | |
| 140 | + p.ln(8) | |
| 141 | + | |
| 142 | + def _section_title(self, title): | |
| 143 | + if self.pdf.get_y() > 240: | |
| 144 | + self.pdf.add_page() | |
| 145 | + self._kicker("Groupe KA · " + self.site.get("wordmark", "")) | |
| 146 | + self.pdf.set_font("helvetica", "B", 15) | |
| 147 | + self.pdf.set_text_color(*INK) | |
| 148 | + self.pdf.set_x(self.pdf.l_margin) | |
| 149 | + self.pdf.cell(0, 8, title) | |
| 150 | + self.toc.append((title, self.pdf.page_no())) | |
| 151 | + self.pdf.ln(11) | |
| 152 | + | |
| 153 | + # ---------- pages ---------- | |
| 154 | + def _cover(self): | |
| 155 | + p = self.pdf | |
| 156 | + p.cover_mode = True | |
| 157 | + p.set_auto_page_break(False) | |
| 158 | + p.add_page() | |
| 159 | + p.set_fill_color(*PAPER) | |
| 160 | + p.rect(0, 0, 210, 297, style="F") | |
| 161 | + p.set_draw_color(*INK) | |
| 162 | + p.set_line_width(1.0) | |
| 163 | + p.rect(10, 10, 190, 277) | |
| 164 | + # kicker | |
| 165 | + p.set_font("helvetica", "B", 10) | |
| 166 | + p.set_text_color(*GREEN) | |
| 167 | + p.set_xy(24, 34) | |
| 168 | + p.cell(0, 6, "GROUPE KA · RAPPORT STATISTIQUE") | |
| 169 | + # wordmark : partie gauche + boîte encre/accent | |
| 170 | + wm = self.site.get("wordmark", "") | |
| 171 | + left, boxed = (wm.split("·") + [None])[:2] if "·" in wm else (wm, None) | |
| 172 | + p.set_xy(24, 70) | |
| 173 | + p.set_font("helvetica", "B", 40) | |
| 174 | + p.set_text_color(*INK) | |
| 175 | + p.cell(p.get_string_width(left) + 2, 20, left) | |
| 176 | + if boxed: | |
| 177 | + bw = p.get_string_width(boxed) + 12 | |
| 178 | + x = p.get_x() + 2 | |
| 179 | + p.set_fill_color(*INK) | |
| 180 | + p.rect(x, 68, bw, 22, style="F", round_corners=True, corner_radius=3) | |
| 181 | + p.set_text_color(*self.accent) | |
| 182 | + p.set_xy(x + 6, 70) | |
| 183 | + p.cell(bw - 12, 18, boxed) | |
| 184 | + p.set_xy(24, 100) | |
| 185 | + p.set_font("helvetica", "", 13) | |
| 186 | + p.set_text_color(*INK2) | |
| 187 | + p.multi_cell(150, 7, f"Rapport statistique — {wm}") | |
| 188 | + now = datetime.now(ZoneInfo("America/Toronto")) | |
| 189 | + per = self.d.get("period", {}) or {} | |
| 190 | + p.set_xy(24, 125) | |
| 191 | + p.set_font("helvetica", "", 10.5) | |
| 192 | + rows = [ | |
| 193 | + ("Période couverte", self.period_label + (f" ({per.get('from')} → {per.get('to')})" if per.get("from") else "")), | |
| 194 | + ("Généré le", now.strftime("%Y-%m-%d à %H:%M") + " (heure de l'Est)"), | |
| 195 | + ("Plateforme", "https://" + self.site.get("domain", "")), | |
| 196 | + ("Mode", "Rapport complet" if self.mode == "complet" else "Synthèse"), | |
| 197 | + ] | |
| 198 | + y = 128 | |
| 199 | + for k, v in rows: | |
| 200 | + p.set_xy(24, y) | |
| 201 | + p.set_text_color(*INK3) | |
| 202 | + p.cell(40, 6, k) | |
| 203 | + p.set_text_color(*INK) | |
| 204 | + p.set_font("helvetica", "B", 10.5) | |
| 205 | + p.cell(0, 6, str(v)) | |
| 206 | + p.set_font("helvetica", "", 10.5) | |
| 207 | + y += 8 | |
| 208 | + # bande encre au pied | |
| 209 | + p.set_fill_color(*INK) | |
| 210 | + p.rect(10, 262, 190, 25, style="F") | |
| 211 | + p.set_xy(24, 270) | |
| 212 | + p.set_font("helvetica", "B", 12) | |
| 213 | + p.set_text_color(*WHITE) | |
| 214 | + p.cell(60, 8, "par Groupe ") | |
| 215 | + p.set_text_color(*self.accent) | |
| 216 | + p.set_xy(24 + p.get_string_width("par Groupe ") + 1, 270) | |
| 217 | + p.cell(20, 8, "KA") | |
| 218 | + p.set_font("helvetica", "B", 10) | |
| 219 | + p.set_xy(24, 270) | |
| 220 | + p.set_text_color(*self.accent) | |
| 221 | + p.cell(162, 8, "groupe-ka.com", align="R") | |
| 222 | + p.set_auto_page_break(True, margin=22) | |
| 223 | + p.cover_mode = False | |
| 224 | + | |
| 225 | + def _kpis(self): | |
| 226 | + kpis = self.d.get("kpis") or [] | |
| 227 | + if not kpis: | |
| 228 | + return | |
| 229 | + self._section_title("Synthèse des indicateurs") | |
| 230 | + p = self.pdf | |
| 231 | + cols, gw, gh, gap = 3, 56, 26, 3 | |
| 232 | + x0, y = p.l_margin, p.get_y() | |
| 233 | + for i, k in enumerate(kpis[:9]): | |
| 234 | + x = x0 + (i % cols) * (gw + gap) | |
| 235 | + if i and i % cols == 0: | |
| 236 | + y += gh + gap | |
| 237 | + if y > 250: | |
| 238 | + p.add_page(); y = p.get_y() | |
| 239 | + self._card(x, y, gw, gh) | |
| 240 | + p.set_xy(x + 4, y + 4) | |
| 241 | + p.set_font("helvetica", "B", 14) | |
| 242 | + p.set_text_color(*INK) | |
| 243 | + val = k.get("value") | |
| 244 | + p.cell(gw - 8, 7, (_fr(val) if isinstance(val, (int, float)) else str(val)) + (" " + k["unit"] if k.get("unit") else "")) | |
| 245 | + p.set_xy(x + 4, y + 12) | |
| 246 | + p.set_font("helvetica", "", 7.6) | |
| 247 | + p.set_text_color(*INK2) | |
| 248 | + p.multi_cell(gw - 8, 3.6, str(k.get("label", ""))[:70]) | |
| 249 | + if k.get("delta_pct") is not None: | |
| 250 | + up = (k.get("direction") or ("up" if k["delta_pct"] >= 0 else "down")) == "up" | |
| 251 | + p.set_xy(x + 4, y + gh - 6.5) | |
| 252 | + p.set_font("helvetica", "B", 8) | |
| 253 | + p.set_text_color(*(GREEN if up else DANGER)) | |
| 254 | + arrow = "+" if k["delta_pct"] >= 0 else "" | |
| 255 | + p.cell(gw - 8, 4, f"{'▲' if up else '▼'} {arrow}{str(k['delta_pct']).replace('.', ',')} % vs période préc.") | |
| 256 | + p.set_y(y + gh + 8) | |
| 257 | + | |
| 258 | + def _line_chart(self, s): | |
| 259 | + p = self.pdf | |
| 260 | + pts = s.get("points") or [] | |
| 261 | + if len(pts) < 2: | |
| 262 | + return | |
| 263 | + if p.get_y() > 200: | |
| 264 | + p.add_page() | |
| 265 | + p.set_font("helvetica", "B", 10) | |
| 266 | + p.set_text_color(*INK) | |
| 267 | + p.cell(0, 6, s.get("title", "")) | |
| 268 | + p.ln(7) | |
| 269 | + x0, y0, w, h = p.l_margin, p.get_y(), 174, 52 | |
| 270 | + self._card(x0, y0, w, h, fill=WHITE) | |
| 271 | + cx, cy, cw, ch = x0 + 12, y0 + 6, w - 20, h - 16 | |
| 272 | + vals = [pt["v"] for pt in pts] + [c["v"] for c in (s.get("compare") or [])] | |
| 273 | + vmax = max(vals) or 1 | |
| 274 | + vmin = min(0, min(vals)) | |
| 275 | + rng = (vmax - vmin) or 1 | |
| 276 | + # grille + graduations | |
| 277 | + p.set_font("helvetica", "", 6.3) | |
| 278 | + p.set_text_color(*INK3) | |
| 279 | + p.set_draw_color(200, 200, 195) | |
| 280 | + p.set_line_width(0.15) | |
| 281 | + for g in range(5): | |
| 282 | + gy = cy + ch - ch * g / 4 | |
| 283 | + p.line(cx, gy, cx + cw, gy) | |
| 284 | + p.set_xy(x0 + 1, gy - 1.6) | |
| 285 | + p.cell(10, 3, _fr(vmin + rng * g / 4), align="R") | |
| 286 | + | |
| 287 | + def draw(series, color, width, dash=None): | |
| 288 | + n = len(series) | |
| 289 | + p.set_draw_color(*color) | |
| 290 | + p.set_line_width(width) | |
| 291 | + if dash: | |
| 292 | + p.set_dash_pattern(dash=1.2, gap=1.2) | |
| 293 | + last = None | |
| 294 | + for i, pt in enumerate(series): | |
| 295 | + px = cx + cw * (i / (n - 1)) | |
| 296 | + py = cy + ch - ch * ((pt["v"] - vmin) / rng) | |
| 297 | + if last: | |
| 298 | + p.line(last[0], last[1], px, py) | |
| 299 | + last = (px, py) | |
| 300 | + p.set_dash_pattern() | |
| 301 | + | |
| 302 | + if s.get("compare"): | |
| 303 | + draw(s["compare"], INK3, 0.35, dash=True) | |
| 304 | + draw(pts, self.accent, 0.7) | |
| 305 | + # libellés d'axe X (premier / milieu / dernier) | |
| 306 | + p.set_text_color(*INK3) | |
| 307 | + for frac, idx in ((0, 0), (0.5, len(pts) // 2), (1, -1)): | |
| 308 | + p.set_xy(cx + cw * frac - 9, cy + ch + 1.5) | |
| 309 | + p.cell(18, 3, str(pts[idx].get("t", ""))[:10], align="C") | |
| 310 | + p.set_y(y0 + h + 4) | |
| 311 | + if s.get("compare"): | |
| 312 | + p.set_font("helvetica", "", 6.8) | |
| 313 | + p.set_text_color(*INK3) | |
| 314 | + p.cell(0, 4, "— période courante (accent) · ---- période comparée") | |
| 315 | + p.ln(6) | |
| 316 | + else: | |
| 317 | + p.ln(2) | |
| 318 | + | |
| 319 | + def _bars(self, title, items, unit=""): | |
| 320 | + p = self.pdf | |
| 321 | + items = [it for it in (items or []) if isinstance(it.get("value"), (int, float))][:12] | |
| 322 | + if not items: | |
| 323 | + return | |
| 324 | + need = 10 + len(items) * 7 | |
| 325 | + if p.get_y() + need > 265: | |
| 326 | + p.add_page() | |
| 327 | + p.set_font("helvetica", "B", 10) | |
| 328 | + p.set_text_color(*INK) | |
| 329 | + p.cell(0, 6, title) | |
| 330 | + p.ln(8) | |
| 331 | + vmax = max(it["value"] for it in items) or 1 | |
| 332 | + for it in items: | |
| 333 | + y = p.get_y() | |
| 334 | + p.set_font("helvetica", "", 7.6) | |
| 335 | + p.set_text_color(*INK) | |
| 336 | + p.set_x(p.l_margin) | |
| 337 | + p.cell(46, 5, str(it["label"])[:34]) | |
| 338 | + bw = 96 * (it["value"] / vmax) | |
| 339 | + p.set_fill_color(*self.accent) | |
| 340 | + p.set_draw_color(*INK) | |
| 341 | + p.set_line_width(0.25) | |
| 342 | + p.rect(p.l_margin + 48, y + 0.7, max(bw, 0.8), 3.6, style="DF") | |
| 343 | + p.set_xy(p.l_margin + 148, y) | |
| 344 | + p.set_font("helvetica", "B", 7.6) | |
| 345 | + p.cell(26, 5, _fr(it["value"]) + (" " + unit if unit else ""), align="R") | |
| 346 | + p.ln(6.4) | |
| 347 | + p.ln(3) | |
| 348 | + | |
| 349 | + def _donut(self, b): | |
| 350 | + # anneau vectoriel simple (arcs) + légende | |
| 351 | + p = self.pdf | |
| 352 | + items = [it for it in (b.get("items") or []) if it.get("value")][:8] | |
| 353 | + total = sum(it["value"] for it in items) | |
| 354 | + if not items or not total: | |
| 355 | + return | |
| 356 | + if p.get_y() > 210: | |
| 357 | + p.add_page() | |
| 358 | + p.set_font("helvetica", "B", 10) | |
| 359 | + p.set_text_color(*INK) | |
| 360 | + p.cell(0, 6, b.get("title", "")) | |
| 361 | + p.ln(8) | |
| 362 | + cx, cy, r = p.l_margin + 26, p.get_y() + 24, 20 | |
| 363 | + shades = [1.0, 0.78, 0.58, 0.42, 0.30, 0.22, 0.15, 0.10] | |
| 364 | + start = -90.0 | |
| 365 | + for i, it in enumerate(items): | |
| 366 | + frac = it["value"] / total | |
| 367 | + f = shades[i % len(shades)] | |
| 368 | + col = tuple(int(PAPER[j] + (self.accent[j] - PAPER[j]) * f) for j in range(3)) | |
| 369 | + steps = max(2, int(72 * frac)) | |
| 370 | + p.set_fill_color(*col) | |
| 371 | + p.set_draw_color(*col) | |
| 372 | + for st in range(steps): | |
| 373 | + a0 = math.radians(start + 360 * frac * st / steps) | |
| 374 | + a1 = math.radians(start + 360 * frac * (st + 1) / steps) | |
| 375 | + p.polygon( | |
| 376 | + [(cx, cy), | |
| 377 | + (cx + r * math.cos(a0), cy + r * math.sin(a0)), | |
| 378 | + (cx + r * math.cos(a1), cy + r * math.sin(a1))], | |
| 379 | + style="DF", | |
| 380 | + ) | |
| 381 | + start += 360 * frac | |
| 382 | + p.set_fill_color(*WHITE) | |
| 383 | + p.set_draw_color(*INK) | |
| 384 | + p.set_line_width(0.4) | |
| 385 | + p.ellipse(cx - 11, cy - 11, 22, 22, style="DF") | |
| 386 | + p.ellipse(cx - r, cy - r, 2 * r, 2 * r, style="D") | |
| 387 | + # légende | |
| 388 | + ly = cy - 22 | |
| 389 | + for i, it in enumerate(items): | |
| 390 | + f = shades[i % len(shades)] | |
| 391 | + col = tuple(int(PAPER[j] + (self.accent[j] - PAPER[j]) * f) for j in range(3)) | |
| 392 | + p.set_fill_color(*col) | |
| 393 | + p.set_draw_color(*INK) | |
| 394 | + p.rect(p.l_margin + 60, ly + 0.8, 4, 4, style="DF") | |
| 395 | + p.set_xy(p.l_margin + 66, ly) | |
| 396 | + p.set_font("helvetica", "", 7.6) | |
| 397 | + p.set_text_color(*INK) | |
| 398 | + pct = 100 * it["value"] / total | |
| 399 | + p.cell(0, 5.6, f"{str(it['label'])[:40]} — {_fr(it['value'])} ({pct:.1f} %)".replace(".", ",")) | |
| 400 | + ly += 5.6 | |
| 401 | + p.set_y(max(cy + r, ly) + 6) | |
| 402 | + | |
| 403 | + def _table(self, t): | |
| 404 | + p = self.pdf | |
| 405 | + cols = t.get("columns") or [] | |
| 406 | + rows = t.get("rows") or [] | |
| 407 | + if not cols or not rows: | |
| 408 | + return | |
| 409 | + self._section_title(t.get("title", "Tableau")) | |
| 410 | + w = 174 / len(cols) | |
| 411 | + def head(): | |
| 412 | + p.set_font("helvetica", "B", 7.6) | |
| 413 | + p.set_fill_color(*INK) | |
| 414 | + p.set_text_color(*WHITE) | |
| 415 | + for c in cols: | |
| 416 | + p.cell(w, 6, " " + str(c)[:30], fill=True) | |
| 417 | + p.ln(6) | |
| 418 | + head() | |
| 419 | + p.set_text_color(*INK) | |
| 420 | + for i, row in enumerate(rows[:200]): | |
| 421 | + if p.get_y() > 262: | |
| 422 | + p.add_page() | |
| 423 | + head() | |
| 424 | + p.set_text_color(*INK) | |
| 425 | + p.set_font("helvetica", "", 7.4) | |
| 426 | + p.set_fill_color(*(SURFACE2 if i % 2 else WHITE)) | |
| 427 | + for cell in row: | |
| 428 | + txt = _fr(cell) if isinstance(cell, (int, float)) else str(cell) | |
| 429 | + p.cell(w, 5.4, " " + txt[:34], fill=True) | |
| 430 | + p.ln(5.4) | |
| 431 | + if len(rows) > 200: | |
| 432 | + p.set_font("helvetica", "", 7) | |
| 433 | + p.set_text_color(*INK3) | |
| 434 | + p.cell(0, 5, f"… {len(rows) - 200} lignes supplémentaires non imprimées") | |
| 435 | + p.ln(6) | |
| 436 | + | |
| 437 | + def _records(self): | |
| 438 | + recs = self.d.get("records") or [] | |
| 439 | + if not recs: | |
| 440 | + return | |
| 441 | + self._section_title("Records & faits marquants") | |
| 442 | + p = self.pdf | |
| 443 | + for r in recs[:10]: | |
| 444 | + if p.get_y() > 258: | |
| 445 | + p.add_page() | |
| 446 | + y = p.get_y() | |
| 447 | + self._card(p.l_margin, y, 174, 11, fill=SURFACE2) | |
| 448 | + p.set_xy(p.l_margin + 4, y + 2) | |
| 449 | + p.set_font("helvetica", "", 8.6) | |
| 450 | + p.set_text_color(*INK2) | |
| 451 | + p.cell(96, 7, str(r.get("label", ""))[:70]) | |
| 452 | + p.set_font("helvetica", "B", 9) | |
| 453 | + p.set_text_color(*INK) | |
| 454 | + p.cell(52, 7, str(r.get("value", ""))[:36], align="R") | |
| 455 | + p.set_font("helvetica", "", 7.6) | |
| 456 | + p.set_text_color(*INK3) | |
| 457 | + p.cell(20, 7, str(r.get("date", "") or ""), align="R") | |
| 458 | + p.set_y(y + 13.5) | |
| 459 | + p.ln(4) | |
| 460 | + | |
| 461 | + def _final_page(self): | |
| 462 | + p = self.pdf | |
| 463 | + p.add_page() | |
| 464 | + self._kicker("Groupe KA · contact") | |
| 465 | + p.set_font("helvetica", "B", 15) | |
| 466 | + p.set_text_color(*INK) | |
| 467 | + p.cell(0, 8, "Coordonnées du Groupe KA") | |
| 468 | + p.ln(12) | |
| 469 | + for email, role in EMAILS: | |
| 470 | + p.set_font("helvetica", "B", 10.5) | |
| 471 | + p.set_text_color(*INK) | |
| 472 | + p.cell(0, 6, email) | |
| 473 | + p.ln(5.5) | |
| 474 | + p.set_font("helvetica", "", 8.6) | |
| 475 | + p.set_text_color(*INK3) | |
| 476 | + p.cell(0, 5, role) | |
| 477 | + p.ln(8) | |
| 478 | + p.ln(2) | |
| 479 | + p.set_font("helvetica", "B", 10) | |
| 480 | + p.set_text_color(*GREEN) | |
| 481 | + p.cell(0, 6, "groupe-ka.com — le portail de l'écosystème ·Ka") | |
| 482 | + p.ln(10) | |
| 483 | + p.set_draw_color(*self.accent) | |
| 484 | + p.set_line_width(0.8) | |
| 485 | + p.line(p.l_margin, p.get_y(), p.l_margin + 30, p.get_y()) | |
| 486 | + p.ln(4) | |
| 487 | + p.set_font("helvetica", "", 8.6) | |
| 488 | + p.set_text_color(*INK2) | |
| 489 | + p.multi_cell(160, 4.6, DISCLAIMER) | |
| 490 | + p.ln(4) | |
| 491 | + p.set_font("helvetica", "", 7.6) | |
| 492 | + p.set_text_color(*INK3) | |
| 493 | + p.multi_cell( | |
| 494 | + 160, 4.2, | |
| 495 | + "Mentions : rapport généré automatiquement à partir des données réelles de la " | |
| 496 | + "plateforme au moment indiqué en couverture. Conditions d'utilisation, politique " | |
| 497 | + "de confidentialité et protection des renseignements personnels (Loi 25) : " | |
| 498 | + "groupe-ka.com/conditions · /confidentialite · /loi-25.", | |
| 499 | + ) | |
| 500 | + | |
| 501 | + def _toc_page(self): | |
| 502 | + # insérée après coup ? fpdf ne réordonne pas : on écrit le sommaire en | |
| 503 | + # page 2 en réservant la page lors du build (voir build()). | |
| 504 | + pass | |
| 505 | + | |
| 506 | + def build(self) -> bytes: | |
| 507 | + p = self.pdf | |
| 508 | + p.alias_nb_pages() | |
| 509 | + self._cover() | |
| 510 | + if self.mode == "synthese": | |
| 511 | + p.add_page() | |
| 512 | + self._kpis() | |
| 513 | + self._records() | |
| 514 | + self._final_page() | |
| 515 | + else: | |
| 516 | + p.add_page() | |
| 517 | + toc_page_no = p.page_no() | |
| 518 | + p.add_page() | |
| 519 | + self._kpis() | |
| 520 | + for s in self.d.get("series") or []: | |
| 521 | + if s.get("kind") == "bar": | |
| 522 | + self._bars(s.get("title", ""), [{"label": pt.get("t"), "value": pt.get("v")} for pt in (s.get("points") or [])], s.get("unit", "")) | |
| 523 | + else: | |
| 524 | + self._line_chart(s) | |
| 525 | + for b in self.d.get("breakdowns") or []: | |
| 526 | + if b.get("kind") == "donut": | |
| 527 | + self._donut(b) | |
| 528 | + else: | |
| 529 | + self._bars(b.get("title", ""), b.get("items")) | |
| 530 | + geo = self.d.get("geo") | |
| 531 | + if geo: | |
| 532 | + self._bars(geo.get("title", "Répartition géographique"), geo.get("items")) | |
| 533 | + for t in self.d.get("tables") or []: | |
| 534 | + self._table(t) | |
| 535 | + self._records() | |
| 536 | + self._final_page() | |
| 537 | + # sommaire écrit sur la page réservée (page 2) | |
| 538 | + last_page = p.page | |
| 539 | + p.page = toc_page_no | |
| 540 | + p.set_y(22) | |
| 541 | + p.set_font("helvetica", "B", 15) | |
| 542 | + p.set_text_color(*INK) | |
| 543 | + p.cell(0, 8, "Sommaire") | |
| 544 | + p.ln(12) | |
| 545 | + p.set_font("helvetica", "", 9.5) | |
| 546 | + for title, page_no in self.toc: | |
| 547 | + p.set_text_color(*INK) | |
| 548 | + p.cell(140, 6.5, title[:80]) | |
| 549 | + p.set_text_color(*INK3) | |
| 550 | + p.cell(0, 6.5, str(page_no), align="R") | |
| 551 | + p.ln(6.5) | |
| 552 | + p.page = last_page | |
| 553 | + return bytes(p.output()) | |
| 554 | + | |
| 555 | + | |
| 556 | +def filename(platform_id: str, period: str) -> str: | |
| 557 | + today = datetime.now(ZoneInfo("America/Toronto")).strftime("%Y-%m-%d") | |
| 558 | + return f"groupe-ka_{platform_id}_stats_{period}_{today}.pdf" | |
added
immoka/stats.py
+448 −0
@@ -0,0 +1,448 @@ | ||
| 1 | +# ----------------------------------------------------------------------------- | |
| 2 | +# Immo-Ka — Agrégateur de propriétés à vendre (province de Québec) | |
| 3 | +# Auteur : Simon-Pierre Boucher — contact@spboucher.ai | |
| 4 | +# stats.py : tableau de bord analytique /api/stats/dashboard + rapport PDF | |
| 5 | +# /api/stats/report (module Stats commun Groupe KA — voir | |
| 6 | +# frontend/src/ka/stats/SPEC.md). Toutes les valeurs viennent de la base | |
| 7 | +# (listings, price_log, sync_log) — AUCUNE statistique inventée : une | |
| 8 | +# mesure indisponible est simplement omise (le front affiche un état vide). | |
| 9 | +# ----------------------------------------------------------------------------- | |
| 10 | +from __future__ import annotations | |
| 11 | + | |
| 12 | +import statistics | |
| 13 | +import threading | |
| 14 | +import time | |
| 15 | +import unicodedata | |
| 16 | +from datetime import date, datetime, timedelta | |
| 17 | +from zoneinfo import ZoneInfo | |
| 18 | + | |
| 19 | +from . import db | |
| 20 | + | |
| 21 | +TZ = ZoneInfo("America/Toronto") | |
| 22 | +SQFT_PER_M2 = 10.7639104 | |
| 23 | + | |
| 24 | +# Même règle de visibilité que le reste de l'API (web.DEDUP_CLAUSE) : | |
| 25 | +# doublons de sous-agences masqués + « Prix sur demande » exclus. | |
| 26 | +VISIBLE = " AND dup_hidden=0 AND price IS NOT NULL" | |
| 27 | + | |
| 28 | +PERIOD_LABELS = { | |
| 29 | + "auj": "Aujourd'hui", "7j": "7 jours", "30j": "30 jours", | |
| 30 | + "3m": "3 mois", "6m": "6 mois", "12m": "12 mois", | |
| 31 | + "annee": "Année en cours", "tout": "Toute la période", | |
| 32 | +} | |
| 33 | + | |
| 34 | +# --- cache serveur (>= 5 min par période, contrat SPEC) ----------------------- | |
| 35 | +_CACHE: dict[str, tuple[float, dict]] = {} | |
| 36 | +_CACHE_TTL = 300 | |
| 37 | +_CACHE_LOCK = threading.Lock() | |
| 38 | + | |
| 39 | + | |
| 40 | +# --- utilitaires -------------------------------------------------------------- | |
| 41 | +def _today() -> date: | |
| 42 | + return datetime.now(TZ).date() | |
| 43 | + | |
| 44 | + | |
| 45 | +def _iso(d: date) -> str: | |
| 46 | + return d.isoformat() | |
| 47 | + | |
| 48 | + | |
| 49 | +def _parse(d: str) -> date | None: | |
| 50 | + try: | |
| 51 | + return date.fromisoformat(d[:10]) | |
| 52 | + except (ValueError, TypeError): | |
| 53 | + return None | |
| 54 | + | |
| 55 | + | |
| 56 | +def _epoch(d: date) -> float: | |
| 57 | + """Minuit local (heure de l'Est) du jour donné, en epoch.""" | |
| 58 | + return datetime(d.year, d.month, d.day, tzinfo=TZ).timestamp() | |
| 59 | + | |
| 60 | + | |
| 61 | +def resolve_period(period: str | None, frm: str | None, to: str | None, | |
| 62 | + data_start: date) -> tuple[date, date, str]: | |
| 63 | + today = _today() | |
| 64 | + f, t = _parse(frm or ""), _parse(to or "") | |
| 65 | + if f and t: | |
| 66 | + if t < f: | |
| 67 | + f, t = t, f | |
| 68 | + return f, t, f"{_iso(f)} → {_iso(t)}" | |
| 69 | + p = (period or "30j").lower() | |
| 70 | + spans = {"7j": 6, "30j": 29, "3m": 89, "6m": 181, "12m": 364} | |
| 71 | + if p == "auj": | |
| 72 | + return today, today, PERIOD_LABELS["auj"] | |
| 73 | + if p == "annee": | |
| 74 | + return date(today.year, 1, 1), today, PERIOD_LABELS["annee"] | |
| 75 | + if p == "tout": | |
| 76 | + return data_start, today, PERIOD_LABELS["tout"] | |
| 77 | + days = spans.get(p, 29) | |
| 78 | + label = PERIOD_LABELS.get(p, PERIOD_LABELS["30j"]) | |
| 79 | + return today - timedelta(days=days), today, label | |
| 80 | + | |
| 81 | + | |
| 82 | +def _fold(s: str) -> str: | |
| 83 | + return "".join(c for c in unicodedata.normalize("NFKD", s.lower().strip()) | |
| 84 | + if not unicodedata.combining(c)) | |
| 85 | + | |
| 86 | + | |
| 87 | +def _median(vals: list[float]) -> float | None: | |
| 88 | + return statistics.median(vals) if vals else None | |
| 89 | + | |
| 90 | + | |
| 91 | +def _fmt_money(v: float) -> str: | |
| 92 | + return f"{round(v):,}".replace(",", " ") + " $" | |
| 93 | + | |
| 94 | + | |
| 95 | +def _fmt_pct(cur: float, prev: float) -> float | None: | |
| 96 | + if prev <= 0: | |
| 97 | + return None | |
| 98 | + return round((cur - prev) / prev * 100.0, 1) | |
| 99 | + | |
| 100 | + | |
| 101 | +def _daterange(a: date, b: date): | |
| 102 | + d = a | |
| 103 | + while d <= b: | |
| 104 | + yield d | |
| 105 | + d += timedelta(days=1) | |
| 106 | + | |
| 107 | + | |
| 108 | +# --- calcul du tableau de bord ------------------------------------------------ | |
| 109 | +def _compute(frm_q: str | None, to_q: str | None, period: str | None) -> dict: | |
| 110 | + con = db.connect() | |
| 111 | + try: | |
| 112 | + return _compute_con(con, frm_q, to_q, period) | |
| 113 | + finally: | |
| 114 | + con.close() | |
| 115 | + | |
| 116 | + | |
| 117 | +def _compute_con(con, frm_q, to_q, period) -> dict: | |
| 118 | + today = _today() | |
| 119 | + row = con.execute("SELECT MIN(first_seen) m FROM listings").fetchone() | |
| 120 | + data_start = (datetime.fromtimestamp(row["m"], TZ).date() | |
| 121 | + if row and row["m"] else today) | |
| 122 | + | |
| 123 | + frm, to, label = resolve_period(period, frm_q, to_q, data_start) | |
| 124 | + to = min(to, today) | |
| 125 | + # fenêtre observée : la collecte a commencé le data_start — les séries | |
| 126 | + # sont bornées à ce qui a réellement été mesuré (rien d'extrapolé). | |
| 127 | + s_frm = max(frm, data_start) | |
| 128 | + s_to = max(to, s_frm) | |
| 129 | + ep_frm, ep_to = _epoch(s_frm), _epoch(s_to + timedelta(days=1)) | |
| 130 | + ndays = (s_to - s_frm).days + 1 | |
| 131 | + # période précédente de même longueur (pour les deltas) | |
| 132 | + p_frm, p_to = s_frm - timedelta(days=ndays), s_frm - timedelta(days=1) | |
| 133 | + # deltas seulement si la période précédente a été observée EN ENTIER — | |
| 134 | + # comparer à une fenêtre tronquée fausserait les variations. | |
| 135 | + prev_ok = p_frm >= data_start | |
| 136 | + ep_pfrm, ep_pto = _epoch(p_frm), _epoch(p_to + timedelta(days=1)) | |
| 137 | + | |
| 138 | + # ---- reconstruction « annonces actives par jour » (événements) ---------- | |
| 139 | + actives_by_day: dict[str, int] = {} | |
| 140 | + deltas: dict[date, int] = {} | |
| 141 | + for r in con.execute( | |
| 142 | + "SELECT date(first_seen,'unixepoch','localtime') fs," | |
| 143 | + " date(last_seen,'unixepoch','localtime') ls, active" | |
| 144 | + " FROM listings WHERE 1=1" + VISIBLE): | |
| 145 | + d0 = _parse(r["fs"]) | |
| 146 | + if d0 is None: | |
| 147 | + continue | |
| 148 | + deltas[d0] = deltas.get(d0, 0) + 1 | |
| 149 | + if not r["active"]: | |
| 150 | + d1 = (_parse(r["ls"]) or d0) + timedelta(days=1) | |
| 151 | + deltas[d1] = deltas.get(d1, 0) - 1 | |
| 152 | + run = 0 | |
| 153 | + for d in _daterange(data_start, today): | |
| 154 | + run += deltas.get(d, 0) | |
| 155 | + actives_by_day[_iso(d)] = run | |
| 156 | + | |
| 157 | + # ---- KPI ----------------------------------------------------------------- | |
| 158 | + snap = con.execute( | |
| 159 | + "SELECT COUNT(*) n, AVG(price) avg_p," | |
| 160 | + " COUNT(DISTINCT NULLIF(city,'')) cities" | |
| 161 | + " FROM listings WHERE active=1" + VISIBLE).fetchone() | |
| 162 | + prices = [r["price"] for r in con.execute( | |
| 163 | + "SELECT price FROM listings WHERE active=1" + VISIBLE)] | |
| 164 | + med_price = _median(prices) | |
| 165 | + ppm2 = [r["v"] for r in con.execute( | |
| 166 | + "SELECT price/(area_sqft/" + str(SQFT_PER_M2) + ") v FROM listings" | |
| 167 | + " WHERE active=1 AND area_sqft>=200" + VISIBLE)] | |
| 168 | + med_ppm2 = _median(ppm2) | |
| 169 | + n_ppm2 = len(ppm2) | |
| 170 | + | |
| 171 | + new_cur = con.execute( | |
| 172 | + "SELECT COUNT(*) n FROM listings WHERE first_seen>=? AND first_seen<?" | |
| 173 | + + VISIBLE, (ep_frm, ep_to)).fetchone()["n"] | |
| 174 | + new_prev = con.execute( | |
| 175 | + "SELECT COUNT(*) n FROM listings WHERE first_seen>=? AND first_seen<?" | |
| 176 | + + VISIBLE, (ep_pfrm, ep_pto)).fetchone()["n"] if prev_ok else 0 | |
| 177 | + gone_cur = con.execute( | |
| 178 | + "SELECT COUNT(*) n FROM listings WHERE active=0 AND last_seen>=?" | |
| 179 | + " AND last_seen<?" + VISIBLE, (ep_frm, ep_to)).fetchone()["n"] | |
| 180 | + gone_prev = con.execute( | |
| 181 | + "SELECT COUNT(*) n FROM listings WHERE active=0 AND last_seen>=?" | |
| 182 | + " AND last_seen<?" + VISIBLE, (ep_pfrm, ep_pto)).fetchone()["n"] if prev_ok else 0 | |
| 183 | + conn_cur = con.execute( | |
| 184 | + "SELECT COUNT(DISTINCT source) n FROM sync_log WHERE ok=1 AND ts>=?" | |
| 185 | + " AND ts<?", (ep_frm, ep_to)).fetchone()["n"] | |
| 186 | + | |
| 187 | + act_now = snap["n"] | |
| 188 | + act_prev = actives_by_day.get(_iso(p_to)) if prev_ok else None | |
| 189 | + | |
| 190 | + def kpi(id_, lbl, val, unit="", dpct=None): | |
| 191 | + k = {"id": id_, "label": lbl, "value": val, "unit": unit} | |
| 192 | + if dpct is not None: | |
| 193 | + k["delta_pct"] = dpct | |
| 194 | + k["direction"] = "up" if dpct >= 0 else "down" | |
| 195 | + return k | |
| 196 | + | |
| 197 | + kpis = [ | |
| 198 | + kpi("actives", "Annonces actives", act_now, "", | |
| 199 | + _fmt_pct(act_now, act_prev) if act_prev else None), | |
| 200 | + kpi("nouvelles", "Nouvelles annonces (période)", new_cur, "", | |
| 201 | + _fmt_pct(new_cur, new_prev) if prev_ok and new_prev else None), | |
| 202 | + kpi("retirees", "Vendues / retirées (période)", gone_cur, "", | |
| 203 | + _fmt_pct(gone_cur, gone_prev) if prev_ok and gone_prev else None), | |
| 204 | + ] | |
| 205 | + if snap["avg_p"]: | |
| 206 | + kpis.append(kpi("prix_moyen", "Prix moyen demandé", | |
| 207 | + round(snap["avg_p"]), "$")) | |
| 208 | + if med_price: | |
| 209 | + kpis.append(kpi("prix_median", "Prix médian demandé", | |
| 210 | + round(med_price), "$")) | |
| 211 | + if med_ppm2 and n_ppm2 >= 100: | |
| 212 | + kpis.append(kpi("prix_m2", | |
| 213 | + f"Prix médian au m² ({n_ppm2:,} annonces avec superficie)".replace(",", " "), | |
| 214 | + round(med_ppm2), "$/m²")) | |
| 215 | + kpis.append(kpi("villes", "Villes couvertes", snap["cities"])) | |
| 216 | + kpis.append(kpi("connecteurs", "Connecteurs actifs (période)", conn_cur)) | |
| 217 | + # indice de tension : retraits / nouvelles entrées (mesuré, pas modélisé) | |
| 218 | + if new_cur >= 50: | |
| 219 | + kpis.append(kpi("tension", "Tension — retraits / nouvelles", | |
| 220 | + round(100.0 * gone_cur / new_cur, 1), "%")) | |
| 221 | + | |
| 222 | + # ---- séries quotidiennes --------------------------------------------------- | |
| 223 | + days = [_iso(d) for d in _daterange(s_frm, s_to)] | |
| 224 | + new_by_day = {r["d"]: r["n"] for r in con.execute( | |
| 225 | + "SELECT date(first_seen,'unixepoch','localtime') d, COUNT(*) n" | |
| 226 | + " FROM listings WHERE first_seen>=? AND first_seen<?" + VISIBLE + | |
| 227 | + " GROUP BY d", (ep_frm, ep_to))} | |
| 228 | + gone_by_day = {r["d"]: r["n"] for r in con.execute( | |
| 229 | + "SELECT date(last_seen,'unixepoch','localtime') d, COUNT(*) n" | |
| 230 | + " FROM listings WHERE active=0 AND last_seen>=? AND last_seen<?" | |
| 231 | + + VISIBLE + " GROUP BY d", (ep_frm, ep_to))} | |
| 232 | + series = [] | |
| 233 | + if len(days) >= 2: | |
| 234 | + series = [ | |
| 235 | + {"id": "actives", "title": "Annonces actives par jour", | |
| 236 | + "unit": "annonces", "kind": "line", | |
| 237 | + "points": [{"t": d, "v": actives_by_day.get(d, 0)} for d in days]}, | |
| 238 | + {"id": "nouvelles", "title": "Nouvelles annonces par jour", | |
| 239 | + "unit": "annonces", "kind": "line", | |
| 240 | + "points": [{"t": d, "v": new_by_day.get(d, 0)} for d in days]}, | |
| 241 | + {"id": "retraits", "title": "Retraits (vendues / retirées) par jour", | |
| 242 | + "unit": "annonces", "kind": "line", | |
| 243 | + "points": [{"t": d, "v": gone_by_day.get(d, 0)} for d in days]}, | |
| 244 | + ] | |
| 245 | + # comparaison N-1 : seulement si l'an dernier a réellement été observé | |
| 246 | + y_frm, y_to = s_frm - timedelta(days=365), s_to - timedelta(days=365) | |
| 247 | + if y_frm >= data_start: | |
| 248 | + cmp_new = {r["d"]: r["n"] for r in con.execute( | |
| 249 | + "SELECT date(first_seen,'unixepoch','localtime') d, COUNT(*) n" | |
| 250 | + " FROM listings WHERE first_seen>=? AND first_seen<?" + VISIBLE + | |
| 251 | + " GROUP BY d", (_epoch(y_frm), _epoch(y_to + timedelta(days=1))))} | |
| 252 | + ydays = [_iso(d) for d in _daterange(y_frm, y_to)] | |
| 253 | + series[1]["compare"] = [{"t": d, "v": cmp_new.get(d, 0)} for d in ydays] | |
| 254 | + | |
| 255 | + # ---- répartitions (photo des annonces actives) ----------------------------- | |
| 256 | + types = [{"label": r["t"] or "Autre / non précisé", "value": r["n"]} | |
| 257 | + for r in con.execute( | |
| 258 | + "SELECT property_type t, COUNT(*) n FROM listings" | |
| 259 | + " WHERE active=1" + VISIBLE + | |
| 260 | + " GROUP BY property_type ORDER BY n DESC LIMIT 9")] | |
| 261 | + ranges = [("Moins de 200 k$", 0, 200e3), ("200 – 300 k$", 200e3, 300e3), | |
| 262 | + ("300 – 400 k$", 300e3, 400e3), ("400 – 500 k$", 400e3, 500e3), | |
| 263 | + ("500 – 750 k$", 500e3, 750e3), ("750 k$ – 1 M$", 750e3, 1e6), | |
| 264 | + ("1 – 2 M$", 1e6, 2e6), ("2 M$ et plus", 2e6, None)] | |
| 265 | + price_items = [] | |
| 266 | + for lbl, lo, hi in ranges: | |
| 267 | + q = "SELECT COUNT(*) n FROM listings WHERE active=1 AND price>=?" + VISIBLE | |
| 268 | + args: list = [lo] | |
| 269 | + if hi is not None: | |
| 270 | + q += " AND price<?" | |
| 271 | + args.append(hi) | |
| 272 | + price_items.append({"label": lbl, | |
| 273 | + "value": con.execute(q, args).fetchone()["n"]}) | |
| 274 | + beds = [{"label": ("8 chambres et +" if r["b"] >= 8 | |
| 275 | + else f"{int(r['b'])} chambre" + ("s" if r["b"] > 1 else "")), | |
| 276 | + "value": r["n"]} | |
| 277 | + for r in con.execute( | |
| 278 | + "SELECT MIN(bedrooms,8) b, COUNT(*) n FROM listings" | |
| 279 | + " WHERE active=1 AND bedrooms IS NOT NULL" + VISIBLE + | |
| 280 | + " GROUP BY MIN(bedrooms,8) ORDER BY b")] | |
| 281 | + breakdowns = [ | |
| 282 | + {"id": "types", "title": "Répartition par type de propriété", | |
| 283 | + "kind": "donut", "items": types}, | |
| 284 | + {"id": "prix", "title": "Répartition par fourchette de prix demandé", | |
| 285 | + "kind": "bar", "items": price_items}, | |
| 286 | + ] | |
| 287 | + if beds: | |
| 288 | + breakdowns.append({"id": "chambres", | |
| 289 | + "title": "Répartition par nombre de chambres (renseignées)", | |
| 290 | + "kind": "bar", "items": beds}) | |
| 291 | + | |
| 292 | + # ---- géographie : par région (fusion accents/casse, libellé le + fréquent) | |
| 293 | + reg_counts: dict[str, dict[str, int]] = {} | |
| 294 | + for r in con.execute( | |
| 295 | + "SELECT region, COUNT(*) n FROM listings WHERE active=1" | |
| 296 | + " AND region<>''" + VISIBLE + " GROUP BY region"): | |
| 297 | + raw = (r["region"] or "").strip() | |
| 298 | + key = _fold(raw) | |
| 299 | + if not key or key.isdigit(): | |
| 300 | + continue | |
| 301 | + reg_counts.setdefault(key, {})[raw] = reg_counts.get(key, {}).get(raw, 0) + r["n"] | |
| 302 | + geo_items = [] | |
| 303 | + for key, variants in reg_counts.items(): | |
| 304 | + best_variant = max(variants, key=variants.get) | |
| 305 | + geo_items.append({"label": best_variant, "value": sum(variants.values())}) | |
| 306 | + geo_items.sort(key=lambda x: -x["value"]) | |
| 307 | + geo = ({"title": "Annonces actives par région", "items": geo_items[:14]} | |
| 308 | + if geo_items else None) | |
| 309 | + | |
| 310 | + # ---- heatmap : nouvelles annonces par jour (26 dernières semaines max) ---- | |
| 311 | + h_frm = max(data_start, s_to - timedelta(days=181)) | |
| 312 | + hm = [{"date": r["d"], "value": r["n"]} for r in con.execute( | |
| 313 | + "SELECT date(first_seen,'unixepoch','localtime') d, COUNT(*) n" | |
| 314 | + " FROM listings WHERE first_seen>=? AND first_seen<?" + VISIBLE + | |
| 315 | + " GROUP BY d", (_epoch(h_frm), _epoch(s_to + timedelta(days=1))))] | |
| 316 | + heatmap = ({"title": "Nouvelles annonces par jour", "cells": hm} | |
| 317 | + if len(hm) >= 2 else None) | |
| 318 | + | |
| 319 | + # ---- tableaux --------------------------------------------------------------- | |
| 320 | + # Top villes : actives, prix moyen/médian, nouvelles sur la période + delta | |
| 321 | + city_prices: dict[str, list[float]] = {} | |
| 322 | + for r in con.execute( | |
| 323 | + "SELECT city, price FROM listings WHERE active=1 AND city<>''" | |
| 324 | + + VISIBLE): | |
| 325 | + city_prices.setdefault(r["city"], []).append(r["price"]) | |
| 326 | + new_city = {r["city"]: r["n"] for r in con.execute( | |
| 327 | + "SELECT city, COUNT(*) n FROM listings WHERE city<>''" | |
| 328 | + " AND first_seen>=? AND first_seen<?" + VISIBLE + " GROUP BY city", | |
| 329 | + (ep_frm, ep_to))} | |
| 330 | + new_city_prev = {r["city"]: r["n"] for r in con.execute( | |
| 331 | + "SELECT city, COUNT(*) n FROM listings WHERE city<>''" | |
| 332 | + " AND first_seen>=? AND first_seen<?" + VISIBLE + " GROUP BY city", | |
| 333 | + (ep_pfrm, ep_pto))} if prev_ok else {} | |
| 334 | + top = sorted(city_prices.items(), key=lambda kv: -len(kv[1]))[:50] | |
| 335 | + top_rows = [] | |
| 336 | + for city, ps in top: | |
| 337 | + n_new = new_city.get(city, 0) | |
| 338 | + n_prev = new_city_prev.get(city, 0) | |
| 339 | + d = _fmt_pct(n_new, n_prev) if prev_ok and n_prev else None | |
| 340 | + top_rows.append([ | |
| 341 | + city, len(ps), _fmt_money(sum(ps) / len(ps)), | |
| 342 | + _fmt_money(statistics.median(ps)), n_new, | |
| 343 | + (f"{'+' if d >= 0 else ''}{str(d).replace('.', ',')} %" | |
| 344 | + if d is not None else "—"), | |
| 345 | + ]) | |
| 346 | + tables = [{ | |
| 347 | + "id": "top_villes", "title": "Top villes", | |
| 348 | + "columns": ["Ville", "Actives", "Prix moyen", "Prix médian", | |
| 349 | + "Nouvelles (période)", "Var. nouvelles"], | |
| 350 | + "rows": top_rows, | |
| 351 | + }] | |
| 352 | + # Délai de présence (retirées de la période) par ville | |
| 353 | + dur_city: dict[str, list[float]] = {} | |
| 354 | + for r in con.execute( | |
| 355 | + "SELECT city, (last_seen-first_seen)/86400.0 d FROM listings" | |
| 356 | + " WHERE active=0 AND city<>'' AND last_seen>=? AND last_seen<?" | |
| 357 | + + VISIBLE, (ep_frm, ep_to)): | |
| 358 | + dur_city.setdefault(r["city"], []).append(max(r["d"], 0.0)) | |
| 359 | + dur_rows = [] | |
| 360 | + for city, ds in sorted(dur_city.items(), key=lambda kv: -len(kv[1]))[:50]: | |
| 361 | + if len(ds) < 3: | |
| 362 | + continue | |
| 363 | + dur_rows.append([ | |
| 364 | + city, len(ds), | |
| 365 | + str(round(sum(ds) / len(ds), 1)).replace(".", ","), | |
| 366 | + str(round(statistics.median(ds), 1)).replace(".", ","), | |
| 367 | + ]) | |
| 368 | + if dur_rows: | |
| 369 | + tables.append({ | |
| 370 | + "id": "delai_villes", | |
| 371 | + "title": "Délai de présence avant retrait, par ville (période)", | |
| 372 | + "columns": ["Ville", "Retirées", "Délai moyen (j)", "Délai médian (j)"], | |
| 373 | + "rows": dur_rows, | |
| 374 | + }) | |
| 375 | + | |
| 376 | + # ---- records & faits marquants --------------------------------------------- | |
| 377 | + records = [] | |
| 378 | + if new_by_day: | |
| 379 | + best = max(new_by_day.items(), key=lambda kv: kv[1]) | |
| 380 | + records.append({"label": "Jour record de nouvelles annonces", | |
| 381 | + "value": f"{best[1]:,} annonces".replace(",", " "), | |
| 382 | + "date": best[0]}) | |
| 383 | + fast = con.execute( | |
| 384 | + "SELECT city, address, (last_seen-first_seen)/86400.0 d," | |
| 385 | + " date(last_seen,'unixepoch','localtime') dt FROM listings" | |
| 386 | + " WHERE active=0 AND last_seen>=? AND last_seen<?" | |
| 387 | + " AND last_seen-first_seen>=3600" # >= 1 h : écarte les artefacts de sync | |
| 388 | + + VISIBLE + " ORDER BY (last_seen-first_seen) ASC LIMIT 1", | |
| 389 | + (ep_frm, ep_to)).fetchone() | |
| 390 | + if fast: | |
| 391 | + d = fast["d"] | |
| 392 | + val = (f"{round(d * 24, 1)} h" if d < 1 else f"{round(d, 1)} j").replace(".", ",") | |
| 393 | + records.append({"label": "Retrait le plus rapide (mise en ligne → retrait)", | |
| 394 | + "value": val + (f" · {fast['city']}" if fast["city"] else ""), | |
| 395 | + "date": fast["dt"]}) | |
| 396 | + drop = con.execute( | |
| 397 | + """SELECT l.city, MAX(p1.price - p2.price) drop_amt, | |
| 398 | + date(MAX(p2.ts),'unixepoch','localtime') dt, l.uid | |
| 399 | + FROM price_log p1 | |
| 400 | + JOIN price_log p2 ON p2.uid = p1.uid AND p2.ts > p1.ts | |
| 401 | + JOIN listings l ON l.uid = p1.uid | |
| 402 | + WHERE p2.ts>=? AND p2.ts<? AND p1.price > p2.price | |
| 403 | + AND l.dup_hidden=0 | |
| 404 | + GROUP BY l.uid ORDER BY drop_amt DESC LIMIT 1""", | |
| 405 | + (ep_frm, ep_to)).fetchone() | |
| 406 | + if drop and drop["drop_amt"]: | |
| 407 | + records.append({"label": "Plus forte baisse de prix demandé", | |
| 408 | + "value": "−" + _fmt_money(drop["drop_amt"]) + | |
| 409 | + (f" · {drop['city']}" if drop["city"] else ""), | |
| 410 | + "date": drop["dt"]}) | |
| 411 | + if new_city: | |
| 412 | + c, n = max(new_city.items(), key=lambda kv: kv[1]) | |
| 413 | + records.append({"label": "Ville la plus active (nouvelles annonces)", | |
| 414 | + "value": f"{c} — {n:,} annonces".replace(",", " ")}) | |
| 415 | + | |
| 416 | + out = { | |
| 417 | + "updated": datetime.now(TZ).isoformat(timespec="seconds"), | |
| 418 | + "period": {"from": _iso(frm), "to": _iso(to), "label": label, | |
| 419 | + "observed_from": _iso(data_start)}, | |
| 420 | + "kpis": kpis, | |
| 421 | + "series": series, | |
| 422 | + "breakdowns": breakdowns, | |
| 423 | + "tables": tables, | |
| 424 | + "records": records, | |
| 425 | + } | |
| 426 | + if geo: | |
| 427 | + out["geo"] = geo | |
| 428 | + if heatmap: | |
| 429 | + out["heatmap"] = heatmap | |
| 430 | + return out | |
| 431 | + | |
| 432 | + | |
| 433 | +def dashboard(period: str | None = None, frm: str | None = None, | |
| 434 | + to: str | None = None) -> dict: | |
| 435 | + key = f"{period or ''}|{frm or ''}|{to or ''}" | |
| 436 | + now = time.time() | |
| 437 | + with _CACHE_LOCK: | |
| 438 | + hit = _CACHE.get(key) | |
| 439 | + if hit and now - hit[0] < _CACHE_TTL: | |
| 440 | + return hit[1] | |
| 441 | + data = _compute(frm, to, period) | |
| 442 | + with _CACHE_LOCK: | |
| 443 | + _CACHE[key] = (time.time(), data) | |
| 444 | + # garder le cache borné | |
| 445 | + if len(_CACHE) > 64: | |
| 446 | + for k in sorted(_CACHE, key=lambda k: _CACHE[k][0])[:32]: | |
| 447 | + _CACHE.pop(k, None) | |
| 448 | + return data | |
modified
immoka/web.py
+38 −1
@@ -12,10 +12,11 @@ from pathlib import Path | ||
| 12 | 12 | from fastapi import BackgroundTasks, FastAPI, HTTPException, Query, Request |
| 13 | 13 | from fastapi.middleware.cors import CORSMiddleware |
| 14 | 14 | from fastapi.middleware.gzip import GZipMiddleware |
| 15 | −from fastapi.responses import FileResponse | |
| 15 | +from fastapi.responses import FileResponse, Response | |
| 16 | 16 | from fastapi.staticfiles import StaticFiles |
| 17 | 17 | |
| 18 | 18 | from . import auth, db, favorites, ingest, seo |
| 19 | +from . import stats as kastats | |
| 19 | 20 | |
| 20 | 21 | ROOT = Path(__file__).resolve().parent.parent |
| 21 | 22 | SOURCES_PATH = ROOT / "data" / "sources.json" |
@@ -403,6 +404,42 @@ def stats(): | ||
| 403 | 404 | return {**dict(row), "vraiprix": vraiprix, "recent_syncs": log} |
| 404 | 405 | |
| 405 | 406 | |
| 407 | +# --- Module Stats commun Groupe KA (voir frontend/src/ka/stats/SPEC.md) ------ | |
| 408 | +@app.get("/api/stats/dashboard") | |
| 409 | +def stats_dashboard( | |
| 410 | + period: str | None = Query(None), | |
| 411 | + from_: str | None = Query(None, alias="from"), | |
| 412 | + to: str | None = Query(None), | |
| 413 | +): | |
| 414 | + """Tableau de bord analytique (contrat SPEC ka-stats, cache 5 min).""" | |
| 415 | + return kastats.dashboard(period, from_, to) | |
| 416 | + | |
| 417 | + | |
| 418 | +@app.get("/api/stats/report") | |
| 419 | +def stats_report( | |
| 420 | + period: str = Query("30j"), | |
| 421 | + from_: str | None = Query(None, alias="from"), | |
| 422 | + to: str | None = Query(None), | |
| 423 | + mode: str = Query("complet"), | |
| 424 | +): | |
| 425 | + """Rapport PDF estampillé Groupe-KA (gabarit commun immoka/kapdf.py).""" | |
| 426 | + from . import kapdf | |
| 427 | + dash = kastats.dashboard(period, from_, to) | |
| 428 | + site = { | |
| 429 | + "wordmark": "Immo·Ka", | |
| 430 | + "accent": "#e23744", | |
| 431 | + "domain": "www.immo-ka.com", | |
| 432 | + "tagline": "Agrégateur de propriétés à vendre — province de Québec", | |
| 433 | + } | |
| 434 | + pdf = kapdf.GroupeKAReport( | |
| 435 | + site=site, dashboard=dash, | |
| 436 | + mode="synthese" if mode == "synthese" else "complet").build() | |
| 437 | + return Response( | |
| 438 | + content=pdf, media_type="application/pdf", | |
| 439 | + headers={"Content-Disposition": | |
| 440 | + f'attachment; filename="{kapdf.filename("immo-ka", period)}"'}) | |
| 441 | + | |
| 442 | + | |
| 406 | 443 | @app.post("/api/sync") |
| 407 | 444 | def trigger_sync(background: BackgroundTasks, source: str | None = None): |
| 408 | 445 | """Déclenche une synchronisation (équivalent d'un webhook entrant).""" |
modified
requirements.txt
+1 −0
@@ -2,3 +2,4 @@ requests>=2.31 | ||
| 2 | 2 | beautifulsoup4>=4.12 |
| 3 | 3 | fastapi>=0.110 |
| 4 | 4 | uvicorn>=0.29 |
| 5 | +fpdf2>=2.8 | |
| 5 | 6 | |