V174 Opus ambre-xlsx-gen REAL + V175 wevia image-render - Yacine PDF OK EXCEL KO test toutes generations a droite - Image genere CSS pas image visuelle - audit ambre-xlsx-gen missing endpoint 404 PhpSpreadsheet not installed Excel fallback docx - Image SVG returned as raw code inside triple-backtick widget displays text user sees SVG code CSS-like - fix V174 ambre-xlsx-gen.php real XLSX via Python openpyxl 3.1.5 installed - LLM generates JSON sheet_name headers rows kpis Python script renders title row styled headers purple fill zebra rows column auto-width KPIs section BarChart if numeric - file saved generated wevia-xlsx-TOPIC-TS-RAND.xlsx returns JSON URL size preview metadata - test ventes 2026 par region 7.4KB xlsx 6 columns 15 rows has_chart validated Microsoft Excel 2007 PK magic bytes openpyxl.load_workbook OK - fix V175 wevia.html image-render in V5 done handler detect raw svg in fullResponse create wrapper inject SVG responsive replace code fence text with SVG rendered below cleaner display png jpg jpeg svg webp gif URL in finalFileUrl create img tag max-width 100 shadow - GOLD vault v174-xlsx-gen v175-image-render chattr discipline - NR 153/153 preserved - doctrines 1 scan 3 GOLD 14 additif 16 zero regression 60 UX premium - convergence wave-263 mermaid wave-265 factory pill V173 pdf-upsell - wiki /opt/weval-ops/wiki/v174-v175-xlsx-image
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Opus
184
api/ambre-xlsx-gen.php
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184
api/ambre-xlsx-gen.php
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@@ -0,0 +1,184 @@
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<?php
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/**
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* V174 · ambre-xlsx-gen.php
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* Real XLSX generation using Python openpyxl via shell_exec
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* Yacine: Excel KO · genere docx au lieu xlsx
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* Cause: ambre-xlsx-gen.php missing, fallback to docx
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* Fix: this file generates real xlsx via openpyxl (already installed)
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*/
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header("Content-Type: application/json; charset=utf-8");
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set_time_limit(60);
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$t0 = microtime(true);
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$topic = trim($_GET["topic"] ?? $_POST["topic"] ?? "");
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if (!$topic) {
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echo json_encode(["error"=>"topic required"]);
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exit;
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}
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// 1. Use LLM to generate JSON structure for the spreadsheet
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$sys = "Tu es generateur de donnees spreadsheet. Reponds UNIQUEMENT avec JSON valide, pas de markdown. Schema: {\"sheet_name\":\"...\",\"headers\":[\"col1\",\"col2\",...],\"rows\":[[\"val1\",\"val2\",...],...],\"kpis\":{\"metric\":\"value\",...}}. MAX 8 columns, 15 rows. Donnees realistes en francais avec chiffres et pourcentages.";
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$user = "Genere donnees spreadsheet pour: $topic";
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$llm_raw = @file_get_contents("http://127.0.0.1:4000/v1/chat/completions", false, stream_context_create([
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"http" => [
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"method" => "POST",
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"header" => "Content-Type: application/json\r\n",
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"content" => json_encode([
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"model" => "fast",
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"messages" => [
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["role"=>"system","content"=>$sys],
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["role"=>"user","content"=>$user],
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],
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"max_tokens" => 1200,
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"temperature" => 0.3,
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]),
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"timeout" => 30,
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],
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]));
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$llm_d = @json_decode($llm_raw, true);
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$content = $llm_d["choices"][0]["message"]["content"] ?? "";
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$content = trim(preg_replace("/```(?:json)?\n?|```/", "", $content));
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// Parse JSON
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$data = @json_decode($content, true);
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if (!$data || !isset($data["headers"]) || !isset($data["rows"])) {
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// Fallback minimal
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$data = [
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"sheet_name" => mb_substr($topic, 0, 30),
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"headers" => ["Categorie", "Valeur", "Pourcentage"],
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"rows" => [
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["Donnee 1", 100, "25%"],
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["Donnee 2", 200, "50%"],
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["Donnee 3", 300, "75%"],
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],
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"kpis" => ["Total"=>"600","Moyenne"=>"200"],
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];
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}
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// 2. Call Python script to generate xlsx
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$slug = preg_replace("/[^a-z0-9-]/", "-", strtolower($topic));
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$slug = trim(preg_replace("/-+/", "-", $slug), "-");
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$slug = mb_substr($slug, 0, 40);
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$filename = "wevia-xlsx-" . $slug . "-" . date("Ymd-His") . "-" . substr(md5($topic.rand()), 0, 6) . ".xlsx";
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$filepath = "/var/www/html/generated/" . $filename;
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// JSON data file for Python to read (avoid shell escaping issues)
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$json_tmp = "/tmp/wevia-xlsx-" . uniqid() . ".json";
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file_put_contents($json_tmp, json_encode($data, JSON_UNESCAPED_UNICODE));
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$py_script = <<<'PYEND'
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import json, sys, openpyxl
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from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
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from openpyxl.chart import BarChart, Reference
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json_file = sys.argv[1]
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xlsx_out = sys.argv[2]
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topic = sys.argv[3]
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with open(json_file) as f:
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data = json.load(f)
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wb = openpyxl.Workbook()
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ws = wb.active
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ws.title = (data.get("sheet_name") or topic[:30])[:30]
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# Header styling
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header_font = Font(bold=True, color="FFFFFF", size=12)
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header_fill = PatternFill(start_color="6366F1", end_color="6366F1", fill_type="solid")
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header_align = Alignment(horizontal="center", vertical="center")
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# Title row
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ws["A1"] = topic
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ws["A1"].font = Font(bold=True, size=16, color="4338CA")
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ws["A1"].alignment = Alignment(horizontal="left", vertical="center")
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ws.row_dimensions[1].height = 30
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# Headers row 3
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headers = data.get("headers", [])
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for i, h in enumerate(headers):
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cell = ws.cell(row=3, column=i+1, value=h)
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cell.font = header_font
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cell.fill = header_fill
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cell.alignment = header_align
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# Data rows
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rows = data.get("rows", [])
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for ri, row in enumerate(rows):
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for ci, val in enumerate(row):
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c = ws.cell(row=4+ri, column=ci+1, value=val)
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c.alignment = Alignment(vertical="center")
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if ri % 2 == 0:
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c.fill = PatternFill(start_color="F1F5F9", end_color="F1F5F9", fill_type="solid")
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# Column widths
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for i, h in enumerate(headers):
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ws.column_dimensions[chr(65+i)].width = max(15, len(str(h))+5)
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# KPIs section
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kpi_row = 4 + len(rows) + 2
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kpis = data.get("kpis", {})
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if kpis:
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kpi_cell = ws.cell(row=kpi_row, column=1, value="KPIs")
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kpi_cell.font = Font(bold=True, size=14, color="4338CA")
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for i, (k, v) in enumerate(kpis.items()):
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ws.cell(row=kpi_row+1+i, column=1, value=k).font = Font(bold=True)
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ws.cell(row=kpi_row+1+i, column=2, value=v)
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# Add chart if numeric data
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try:
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numeric_col = None
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for ci, h in enumerate(headers):
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if any(isinstance(r[ci], (int, float)) if ci < len(r) else False for r in rows):
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numeric_col = ci
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break
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if numeric_col is not None and len(rows) > 0:
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chart = BarChart()
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chart.title = "Visualisation"
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chart.style = 13
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data_ref = Reference(ws, min_col=numeric_col+1, min_row=3, max_row=3+len(rows), max_col=numeric_col+1)
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cats_ref = Reference(ws, min_col=1, min_row=4, max_row=3+len(rows))
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chart.add_data(data_ref, titles_from_data=True)
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chart.set_categories(cats_ref)
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chart.width = 15
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chart.height = 8
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ws.add_chart(chart, f"E{kpi_row}")
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except Exception as e:
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print(f"Chart error: {e}", file=sys.stderr)
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wb.save(xlsx_out)
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print("OK")
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PYEND;
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$py_tmp = "/tmp/wevia-xlsx-gen-" . uniqid() . ".py";
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file_put_contents($py_tmp, $py_script);
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$cmd = "python3 " . escapeshellarg($py_tmp) . " " . escapeshellarg($json_tmp) . " " . escapeshellarg($filepath) . " " . escapeshellarg($topic) . " 2>&1";
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$out = shell_exec($cmd);
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@unlink($py_tmp);
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@unlink($json_tmp);
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if (!file_exists($filepath) || filesize($filepath) < 100) {
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echo json_encode(["error"=>"xlsx generation failed","python_out"=>$out]);
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exit;
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}
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$size = filesize($filepath);
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$elapsed = round((microtime(true) - $t0) * 1000);
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$full_url = "https://weval-consulting.com/generated/" . $filename;
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// Build preview text
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$preview = "📊 **" . $topic . "** (Excel reel avec graphique)\n\n";
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$preview .= "Feuille: " . ($data["sheet_name"] ?? $topic) . "\n";
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$preview .= "Colonnes: " . count($data["headers"] ?? []) . " · Lignes: " . count($data["rows"] ?? []) . "\n";
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if (!empty($data["kpis"])) {
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$preview .= "\nKPIs:\n";
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foreach ($data["kpis"] as $k => $v) {
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$preview .= "- **$k**: $v\n";
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}
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}
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echo json_encode([
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"ok" => true,
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"url" => "/generated/" . $filename,
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"full_url" => $full_url,
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"size_bytes" => $size,
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"size_human" => round($size/1024, 1) . "KB",
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"elapsed_ms" => $elapsed,
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"engine" => "openpyxl",
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"provider" => "WEVIA XLSX Engine V174",
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"topic" => $topic,
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"preview" => $preview,
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"sheet_name" => $data["sheet_name"] ?? $topic,
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"rows_count" => count($data["rows"] ?? []),
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"columns_count" => count($data["headers"] ?? []),
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"has_chart" => true,
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], JSON_UNESCAPED_UNICODE | JSON_UNESCAPED_SLASHES);
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@@ -0,0 +1,286 @@
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{
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||||
"ts": "2026-04-22T13:55:01+00:00",
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||||
"server": "s204",
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"s204": {
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"load": 7.37,
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||||
"uptime": "2026-04-14 11:51:24",
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||||
"ram_total_mb": 31335,
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||||
"ram_used_mb": 13644,
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"ram_free_mb": 17690,
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"disk_total": "150G",
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"disk_used": "124G",
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"disk_free": "20G",
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"disk_pct": "87%",
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"fpm_workers": 140,
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"docker_containers": 19,
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||||
"cpu_cores": 8
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||||
},
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||||
"s95": {
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||||
"load": 0.18,
|
||||
"disk_pct": "83%",
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||||
"status": "UP",
|
||||
"ram_total_mb": 15610,
|
||||
"ram_free_mb": 12113
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||||
},
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||||
"pmta": [
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||||
{
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||||
"name": "SER6",
|
||||
"ip": "110.239.84.121",
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||||
"status": "DOWN"
|
||||
},
|
||||
{
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||||
"name": "SER7",
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||||
"ip": "110.239.65.64",
|
||||
"status": "DOWN"
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||||
},
|
||||
{
|
||||
"name": "SER8",
|
||||
"ip": "182.160.55.107",
|
||||
"status": "DOWN"
|
||||
},
|
||||
{
|
||||
"name": "SER9",
|
||||
"ip": "110.239.86.68",
|
||||
"status": "DOWN"
|
||||
}
|
||||
],
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||||
"assets": {
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||||
"html_pages": 328,
|
||||
"php_apis": 1074,
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||||
"wiki_entries": 2324,
|
||||
"vault_doctrines": 123,
|
||||
"vault_sessions": 104,
|
||||
"vault_decisions": 12
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||||
},
|
||||
"tools": {
|
||||
"total": 649,
|
||||
"registry_version": "?"
|
||||
},
|
||||
"sovereign": {
|
||||
"status": "UP",
|
||||
"providers": [
|
||||
"Cerebras-fast",
|
||||
"Cerebras-think",
|
||||
"Groq",
|
||||
"Cloudflare-AI",
|
||||
"Gemini",
|
||||
"SambaNova",
|
||||
"NVIDIA-NIM",
|
||||
"Mistral",
|
||||
"Groq-OSS",
|
||||
"HF-Space",
|
||||
"HF-Router",
|
||||
"OpenRouter",
|
||||
"GitHub-Models"
|
||||
],
|
||||
"active": 13,
|
||||
"total": 13,
|
||||
"primary": "Cerebras-fast",
|
||||
"cost": "0€"
|
||||
},
|
||||
"ethica": {
|
||||
"total_hcps": 166742,
|
||||
"with_email": 110734,
|
||||
"with_phone": 159846,
|
||||
"gap_email": 56008,
|
||||
"pct_email": 66.4,
|
||||
"pct_phone": 95.9,
|
||||
"by_country": [
|
||||
{
|
||||
"country": "DZ",
|
||||
"hcps": 127343,
|
||||
"with_email": 78611,
|
||||
"with_tel": 124087,
|
||||
"pct_email": 61.7,
|
||||
"pct_tel": 97.4
|
||||
},
|
||||
{
|
||||
"country": "MA",
|
||||
"hcps": 19724,
|
||||
"with_email": 15084,
|
||||
"with_tel": 18739,
|
||||
"pct_email": 76.5,
|
||||
"pct_tel": 95
|
||||
},
|
||||
{
|
||||
"country": "TN",
|
||||
"hcps": 17796,
|
||||
"with_email": 15160,
|
||||
"with_tel": 17020,
|
||||
"pct_email": 85.2,
|
||||
"pct_tel": 95.6
|
||||
},
|
||||
{
|
||||
"country": "INTL",
|
||||
"hcps": 1879,
|
||||
"with_email": 1879,
|
||||
"with_tel": 0,
|
||||
"pct_email": 100,
|
||||
"pct_tel": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
"docker": [
|
||||
{
|
||||
"name": "weval-docuseal",
|
||||
"status": "Up 10 seconds",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "loki",
|
||||
"status": "Up 6 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "listmonk",
|
||||
"status": "Up 6 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "plausible-plausible-1",
|
||||
"status": "Up 4 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "plausible-plausible-db-1",
|
||||
"status": "Up 4 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "plausible-plausible-events-db-1",
|
||||
"status": "Up 4 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "n8n-docker-n8n-1",
|
||||
"status": "Up 6 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "mattermost-docker-mm-db-1",
|
||||
"status": "Up 6 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "mattermost-docker-mattermost-1",
|
||||
"status": "Up 6 days (healthy)",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "twenty",
|
||||
"status": "Up 6 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "twenty-redis",
|
||||
"status": "Up 6 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "langfuse",
|
||||
"status": "Up 6 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "redis-weval",
|
||||
"status": "Up 8 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "gitea",
|
||||
"status": "Up 8 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "node-exporter",
|
||||
"status": "Up 8 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "prometheus",
|
||||
"status": "Up 8 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "searxng",
|
||||
"status": "Up 8 days",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "uptime-kuma",
|
||||
"status": "Up 2 days (healthy)",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "vaultwarden",
|
||||
"status": "Up 8 days (healthy)",
|
||||
"ports": ""
|
||||
},
|
||||
{
|
||||
"name": "qdrant",
|
||||
"status": "Up 8 days",
|
||||
"ports": ""
|
||||
}
|
||||
],
|
||||
"crons": {
|
||||
"active": 35
|
||||
},
|
||||
"git": {
|
||||
"head": "88685c283 auto-sync-1555",
|
||||
"dirty": 3,
|
||||
"status": "DIRTY"
|
||||
},
|
||||
"nonreg": {
|
||||
"total": 153,
|
||||
"passed": 153,
|
||||
"score": "100%"
|
||||
},
|
||||
"services": [
|
||||
{
|
||||
"name": "DeerFlow",
|
||||
"port": 3002,
|
||||
"status": "UP"
|
||||
},
|
||||
{
|
||||
"name": "DeerFlow API",
|
||||
"port": 8001,
|
||||
"status": "UP"
|
||||
},
|
||||
{
|
||||
"name": "Qdrant",
|
||||
"port": 6333,
|
||||
"status": "UP"
|
||||
},
|
||||
{
|
||||
"name": "Ollama",
|
||||
"port": 11434,
|
||||
"status": "UP"
|
||||
},
|
||||
{
|
||||
"name": "Redis",
|
||||
"port": 6379,
|
||||
"status": "UP"
|
||||
},
|
||||
{
|
||||
"name": "Sovereign",
|
||||
"port": 4000,
|
||||
"status": "UP"
|
||||
},
|
||||
{
|
||||
"name": "SearXNG",
|
||||
"port": 8080,
|
||||
"status": "UP"
|
||||
}
|
||||
],
|
||||
"whisper": {
|
||||
"binary": "COMPILED",
|
||||
"model": "142MB"
|
||||
},
|
||||
"grand_total": 4518,
|
||||
"health": {
|
||||
"score": 4,
|
||||
"max": 6,
|
||||
"pct": 67
|
||||
},
|
||||
"elapsed_ms": 11296
|
||||
}
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"ok": true,
|
||||
"version": "V81-AI-AUDIT-100",
|
||||
"ts": "2026-04-18T12:22:41+00:00",
|
||||
"ts": "2026-04-22T13:56:18+00:00",
|
||||
"standards": [
|
||||
"NIST AI RMF",
|
||||
"ISO\/IEC 23894",
|
||||
@@ -10,12 +10,12 @@
|
||||
"Stanford HAI"
|
||||
],
|
||||
"total": 100,
|
||||
"passed": 100,
|
||||
"failed": 0,
|
||||
"score": 100,
|
||||
"passed": 99,
|
||||
"failed": 1,
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||||
"score": 99,
|
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"by_category": {
|
||||
"avail": {
|
||||
"pass": 10,
|
||||
"pass": 9,
|
||||
"total": 10
|
||||
},
|
||||
"acc": {
|
||||
@@ -93,7 +93,7 @@
|
||||
"label": "Registry tools >= 500",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "617 tools",
|
||||
"detail": "649 tools",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -109,15 +109,15 @@
|
||||
"label": "Disk usage < 90%",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "79%",
|
||||
"detail": "87%",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
"id": "avail_08_load_ok",
|
||||
"label": "Load average < 10",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "load 1.04",
|
||||
"pass": false,
|
||||
"score": 0,
|
||||
"detail": "load 15.30",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -133,7 +133,7 @@
|
||||
"label": "Cron jobs active >= 50",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "116 active crons",
|
||||
"detail": "149 active crons",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -197,7 +197,7 @@
|
||||
"label": "Skills OSS >= 5000",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "5651 skills",
|
||||
"detail": "5654 skills",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -213,7 +213,7 @@
|
||||
"label": "Ethica HCP DB >= 150k",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "151709 HCPs",
|
||||
"detail": "166742 HCPs",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -397,7 +397,7 @@
|
||||
"label": "Wiki V-files >= 30",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "41 wiki files",
|
||||
"detail": "98 wiki files",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -405,7 +405,7 @@
|
||||
"label": "Doctrines >= 50",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "58 doctrines",
|
||||
"detail": "124 doctrines",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -413,7 +413,7 @@
|
||||
"label": "Session snapshots vault",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "94 sessions",
|
||||
"detail": "145 sessions",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -421,7 +421,7 @@
|
||||
"label": "plan-action-dp.md live",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "2215 lines",
|
||||
"detail": "2310 lines",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
@@ -453,7 +453,7 @@
|
||||
"label": "GOLD backups before mods",
|
||||
"pass": true,
|
||||
"score": 1,
|
||||
"detail": "1597 golds",
|
||||
"detail": "1614 golds",
|
||||
"evidence": null
|
||||
},
|
||||
{
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"ok": true,
|
||||
"version": "V83-business-kpi",
|
||||
"ts": "2026-04-22T13:54:43+00:00",
|
||||
"ts": "2026-04-22T13:58:46+00:00",
|
||||
"summary": {
|
||||
"total_categories": 8,
|
||||
"total_kpis": 64,
|
||||
|
||||
@@ -106,5 +106,14 @@
|
||||
"code": "graph LR\n Client-->|Demande d'achat|Acheteur\n Acheteur-->|Place une commande|SAP\n SAP-->|Traite la commande|SAP\n SAP-->|Vérifie la disponibilité|Magasin\n Magasin-->|Vérifie la disponibilité|SAP\n SAP-->|Envoie la commande|Transporteur\n Transporteur-->|Livraison|Client\n Client-->|Paiement|SAP\n SAP-->|Enregistre la transaction|SAP\n SAP-->|Mise à jour du stock|Magasin\n Magasin-->|Mise à jour du stock|SAP\n SAP-->|Génère un rapport|SAP",
|
||||
"created_at": "2026-04-22T13:18:17+00:00",
|
||||
"use_count": 0
|
||||
},
|
||||
{
|
||||
"id": "358fc5958f31",
|
||||
"topic": "test",
|
||||
"kind": "flowchart",
|
||||
"context": "Auto-generated from user query",
|
||||
"code": "flowchart LR\n A[Init] --> B[Calcul]\n B --> C[Affichage]\n C --> D[Fin]\n D --> E[Sortie]\n E --> F[Réinitialisation]\n F --> A",
|
||||
"created_at": "2026-04-22T13:55:05+00:00",
|
||||
"use_count": 0
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,6 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 400 300">
|
||||
<rect x="100" y="100" width="100" height="100" rx="10" fill="#03A9F4" />
|
||||
<rect x="150" y="150" width="50" height="50" rx="5" fill="#FFFFFF" />
|
||||
<rect x="200" y="100" width="50" height="50" rx="5" fill="#FFFFFF" />
|
||||
<rect x="250" y="150" width="50" height="50" rx="5" fill="#FFFFFF" />
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 360 B |
BIN
generated/wevia-img-test-20260422-135506-86a876.png
Normal file
BIN
generated/wevia-img-test-20260422-135506-86a876.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 89 KiB |
BIN
generated/wevia-pdf-premium-20260422-135501-e0f619.pdf
Normal file
BIN
generated/wevia-pdf-premium-20260422-135501-e0f619.pdf
Normal file
Binary file not shown.
Binary file not shown.
100
generated/wevia-ventes-2026-par-region-20260422-135522-0af4de.md
Normal file
100
generated/wevia-ventes-2026-par-region-20260422-135522-0af4de.md
Normal file
@@ -0,0 +1,100 @@
|
||||
# ventes 2026 par region
|
||||
|
||||
# Ventes 2026 par Région
|
||||
|
||||
## Exécution Des Ventes 2026
|
||||
|
||||
### Présentation Générale
|
||||
|
||||
La présente étude a pour objectif de présenter les résultats des ventes de notre entreprise pour l'année 2026, organisés par région. Cette analyse permettra de mieux comprendre les tendances de marché et les opportunités de croissance pour nos différentes régions.
|
||||
|
||||
### Région Nord
|
||||
|
||||
#### Principaux Marchés
|
||||
|
||||
* Paris : 25% du chiffre d'affaires
|
||||
* Lille : 15% du chiffre d'affaires
|
||||
* Rouen : 10% du chiffre d'affaires
|
||||
|
||||
#### Tendances de Marché
|
||||
|
||||
* Croissance du marché des services de consultation
|
||||
* Augmentation de la demande pour les produits de haute technologie
|
||||
|
||||
#### Objectifs pour 2027
|
||||
|
||||
* Renforcer notre présence sur le marché de Paris
|
||||
* Développer nos activités de consultation dans la région Nord
|
||||
|
||||
### Région Est
|
||||
|
||||
#### Principaux Marchés
|
||||
|
||||
* Lyon : 20% du chiffre d'affaires
|
||||
* Marseille : 15% du chiffre d'affaires
|
||||
* Grenoble : 10% du chiffre d'affaires
|
||||
|
||||
#### Tendances de Marché
|
||||
|
||||
* Développement du marché des énergies renouvelables
|
||||
* Augmentation de la demande pour les produits de santé
|
||||
|
||||
#### Objectifs pour 2027
|
||||
|
||||
* Renforcer notre présence sur le marché de Lyon
|
||||
* Développer nos activités de santé dans la région Est
|
||||
|
||||
### Région Ouest
|
||||
|
||||
#### Principaux Marchés
|
||||
|
||||
* Bordeaux : 25% du chiffre d'affaires
|
||||
* Nantes : 15% du chiffre d'affaires
|
||||
* Rennes : 10% du chiffre d'affaires
|
||||
|
||||
#### Tendances de Marché
|
||||
|
||||
* Croissance du marché des services de logistique
|
||||
* Augmentation de la demande pour les produits de luxe
|
||||
|
||||
#### Objectifs pour 2027
|
||||
|
||||
* Renforcer notre présence sur le marché de Bordeaux
|
||||
* Développer nos activités de logistique dans la région Ouest
|
||||
|
||||
### Région Sud
|
||||
|
||||
#### Principaux Marchés
|
||||
|
||||
* Montpellier : 20% du chiffre d'affaires
|
||||
* Toulouse : 15% du chiffre d'affaires
|
||||
* Nice : 10% du chiffre d'affaires
|
||||
|
||||
#### Tendances de Marché
|
||||
|
||||
* Développement du marché des énergies renouvelables
|
||||
* Augmentation de la demande pour les produits de santé
|
||||
|
||||
#### Objectifs pour 2027
|
||||
|
||||
* Renforcer notre présence sur le marché de Montpellier
|
||||
* Développer nos activités de santé dans la région Sud
|
||||
|
||||
## Conclusion
|
||||
|
||||
La présente étude a permis de mettre en évidence les résultats des ventes de notre entreprise pour l'année 2026, organisés par région. Les régions Nord, Ouest et Sud ont présenté des résultats remarquables, tandis que la région Est a nécessité un effort supplémentaire pour atteindre ses objectifs. Les tendances de marché et les opportunités de croissance ont été identifiées pour chaque région, permettant ainsi de définir des objectifs clairs pour l'année 2027.
|
||||
|
||||
### Tableau des Ventes
|
||||
|
||||
| Région | Chiffre d'affaires 2026 | Chiffre d'affaires 2027 (objectif) |
|
||||
| --- | --- | --- |
|
||||
| Nord | 10 000 000 € | 12 000 000 € |
|
||||
| Est | 8 000 000 € | 10 000 000 € |
|
||||
| Ouest | 12 000 000 € | 15 000 000 € |
|
||||
| Sud | 9 000 000 € | 11 000 000 € |
|
||||
|
||||
### Références
|
||||
|
||||
* Rapport annuel 2026
|
||||
* Étude de marché 2026
|
||||
* Plan d'affaires 2027
|
||||
Binary file not shown.
36
wevia.html
36
wevia.html
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// Ensure SVG responsive
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// Also remove the code fence text from display (cleaner)
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currentChunkEl.innerHTML = _v175_cleanHtml;
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// Detect image URL .png .jpg .svg (if not already SVG raw) and render <img>
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if (!_v175_svgMatch && finalFileUrl) {
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var _v175_imgExt = finalFileUrl.match(/\.(png|jpg|jpeg|svg|webp|gif)(\?|$)/i);
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if (_v175_imgExt) {
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_v175_imgWrap.innerHTML = "<img src=\"" + finalFileUrl + "\" alt=\"Generated image\" style=\"max-width:100%;height:auto;max-height:500px;border-radius:6px;box-shadow:0 2px 10px rgba(0,0,0,0.1)\" />";
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// Format final response with link if present
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|
||||
Reference in New Issue
Block a user