135 lines
5.0 KiB
PHP
135 lines
5.0 KiB
PHP
<?php
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/**
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* ambre-tool-docx.php — Premium Word document generation
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* Input: JSON {topic: "..."}
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* Output: JSON {ok:true, url:"/files/xxx.docx", title, sections, size}
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*
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* Pipeline:
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* 1. Call sovereign LLM cascade to generate structured JSON content
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* 2. Python python-docx renders professional .docx with heading styles, TOC, tables
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* 3. Upload to /files/ returns public URL
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*/
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header('Content-Type: application/json');
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/* SESSION_CONTEXT_INJECTED v1 */
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require_once __DIR__ . '/ambre-session-context.php';
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if ($_SERVER['REQUEST_METHOD'] !== 'POST') {
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echo json_encode(['ok'=>false, 'error'=>'POST only']); exit;
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}
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$input = json_decode(file_get_contents('php://input'), true);
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$topic = trim($input['topic'] ?? '');
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if (strlen($topic) < 3) {
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echo json_encode(['ok'=>false, 'error'=>'topic too short']); exit;
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}
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$topic = substr($topic, 0, 500);
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// Step 1: Generate content via sovereign LLM
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$prompt = "Genere un document Word professionnel structure sur: \"$topic\"\n\n"
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. "Retourne UNIQUEMENT du JSON valide (sans markdown code fence) avec:\n"
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. "{\n"
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. " \"title\": \"Titre principal\",\n"
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. " \"subtitle\": \"Sous-titre\",\n"
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. " \"author\": \"WEVAL Consulting\",\n"
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. " \"executive_summary\": \"Paragraphe de synthese de 4-6 phrases\",\n"
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. " \"sections\": [\n"
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. " {\n"
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. " \"heading\": \"1. Titre section\",\n"
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. " \"paragraphs\": [\"Paragraphe 1...\", \"Paragraphe 2...\"],\n"
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. " \"bullets\": [\"Point cle 1\", \"Point cle 2\"],\n"
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. " \"table\": {\"headers\":[\"Col1\",\"Col2\"], \"rows\":[[\"v1\",\"v2\"]]}\n"
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. " }\n"
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. " ],\n"
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. " \"conclusion\": \"Paragraphe de conclusion\"\n"
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. "}\n\n"
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. "IMPORTANT:\n"
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. "- 5 a 7 sections completes\n"
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. "- Chaque section a 2-3 paragraphes detailes (60-120 mots chacun)\n"
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. "- 3-5 bullets par section quand pertinent\n"
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. "- Ajouter une table dans au moins 2 sections\n"
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. "- Francais professionnel sans accents probematiques\n"
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. "- Pas d'info confidentielle WEVAL, generique et factuelle\n"
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. "- JSON valide uniquement, aucun texte avant ou apres";
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// Use sovereign cascade
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$prompt = wvia_context_for_prompt() . $prompt;
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$ch = curl_init('http://127.0.0.1:4000/v1/chat/completions');
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curl_setopt_array($ch, [
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CURLOPT_POST => true,
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CURLOPT_RETURNTRANSFER => true,
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CURLOPT_POSTFIELDS => json_encode([
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'model' => 'auto',
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'messages' => [['role'=>'user', 'content'=>$prompt]],
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'max_tokens' => 4000,
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'temperature' => 0.7
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]),
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CURLOPT_HTTPHEADER => ['Content-Type: application/json'],
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CURLOPT_TIMEOUT => 90,
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]);
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$resp = curl_exec($ch);
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$http = curl_getinfo($ch, CURLINFO_HTTP_CODE);
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curl_close($ch);
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if ($http !== 200) {
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echo json_encode(['ok'=>false, 'error'=>"LLM HTTP $http"]); exit;
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}
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$data = json_decode($resp, true);
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$content_raw = $data['choices'][0]['message']['content'] ?? '';
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// Extract JSON from markdown fences if any
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/* BALANCED_JSON_V2 */
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if (preg_match('/```(?:json)?\s*\n?(.*?)\n?```/s', $content_raw, $m)) {
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$content_raw = $m[1];
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}
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$_jstart = strpos($content_raw, '{');
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if ($_jstart !== false) {
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$_depth = 0; $_jend = -1;
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for ($_i = $_jstart; $_i < strlen($content_raw); $_i++) {
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if ($content_raw[$_i] === '{') $_depth++;
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elseif ($content_raw[$_i] === '}') { $_depth--; if ($_depth === 0) { $_jend = $_i; break; } }
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}
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if ($_jend > $_jstart) $content_raw = substr($content_raw, $_jstart, $_jend - $_jstart + 1);
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}
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$doc = json_decode($content_raw, true);
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if (!$doc || !isset($doc['title'])) {
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echo json_encode(['ok'=>false, 'error'=>'LLM returned invalid JSON', 'raw'=>substr($content_raw,0,500)]);
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exit;
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}
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// Step 2: Python docx generation
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$tmpjson = tempnam('/tmp', 'docx_') . '.json';
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file_put_contents($tmpjson, json_encode($doc));
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$filename = 'weval-' . substr(md5($topic . microtime(true)), 0, 10) . '.docx';
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$outpath = '/var/www/html/files/' . $filename;
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if (!is_dir('/var/www/html/files')) { mkdir('/var/www/html/files', 0755, true); }
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$pyScript = '/var/www/html/api/ambre-tool-docx-render.py';
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$cmd = "python3 " . escapeshellarg($pyScript) . " " . escapeshellarg($tmpjson) . " " . escapeshellarg($outpath) . " 2>&1";
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$out = shell_exec($cmd);
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@unlink($tmpjson);
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if (!file_exists($outpath)) {
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echo json_encode(['ok'=>false, 'error'=>'docx render failed', 'py_out'=>substr($out, 0, 500)]);
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exit;
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}
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$size = filesize($outpath);
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$n_sections = count($doc['sections'] ?? []);
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// SESSION LINK DOC
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if (isset($outpath) && isset($filename)) {
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$__wvia_title = isset($doc) && isset($doc['title']) ? $doc['title'] : (isset($spec) && isset($spec['title']) ? $spec['title'] : (isset($deck) && isset($deck['title']) ? $deck['title'] : (isset($topic) ? $topic : 'Document')));
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wvia_link_doc('/files/' . $filename, 'docx', $__wvia_title);
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if (isset($topic)) wvia_append_turn('user', $topic);
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wvia_append_turn('assistant', '[DOCX generated: ' . ($__wvia_title ?: 'doc') . ']');
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}
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echo json_encode([
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'ok' => true,
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'url' => '/files/' . $filename,
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'title' => $doc['title'],
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'sections' => $n_sections,
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'size' => $size,
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'size_kb' => round($size/1024, 1),
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]);
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