d5d83bb3b9
Il FAB ARIA (common.js) chiamava POST /api/ai/ask ma il controller non esisteva (assistente AI rotto). Creato AiController::ask -> AIService::askWithRag con RAG su KB + grounding fonti certe. Verificato in produzione: rag_used=True, cita Ambiti NIS2 / Determina ACN. Fix DNS Qdrant: nei worker php-fpm (musl) getenv e gethostbyname NON funzionano per hostname Docker single-label; funziona solo un IP letterale. VectorService fallback -> 172.21.0.3 (fpm-safe); QDRANT_URL compose resta hostname per CLI. Vedi nota drift in VectorService. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
76 lines
2.7 KiB
PHP
76 lines
2.7 KiB
PHP
<?php
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/**
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* NIS2 Agile - AI Assistant Controller (ARIA)
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*
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* Endpoint dell'assistente conversazionale AI usato dal FAB "ARIA" (common.js).
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* Usa AIService::askWithRag() -> RAG su Knowledge Base (incl. fonti normative
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* certe ingerite, scope SYSTEM) + grounding con citazioni.
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*/
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require_once __DIR__ . '/BaseController.php';
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require_once __DIR__ . '/../services/AIService.php';
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require_once __DIR__ . '/../services/RateLimitService.php';
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class AiController extends BaseController
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{
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/**
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* POST /api/ai/ask
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* Body: { question: string, history?: array }
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* Risposta: { answer, sources, rag_used }
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*/
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public function ask(): void
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{
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$this->requireAuth();
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$question = trim((string) $this->getParam('question', ''));
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if ($question === '') {
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$this->jsonError('Domanda mancante', 422, 'QUESTION_REQUIRED');
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}
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if (mb_strlen($question) > 2000) {
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$this->jsonError('Domanda troppo lunga (max 2000 caratteri)', 422, 'QUESTION_TOO_LONG');
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}
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// Rate limit per utente (riusa la soglia AI configurata)
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$userId = $this->getCurrentUserId();
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$rlKey = "ai_ask:{$userId}";
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if (defined('RATE_LIMIT_AI')) {
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RateLimitService::check($rlKey, RATE_LIMIT_AI);
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RateLimitService::increment($rlKey);
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}
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$user = $this->getCurrentUser() ?? [];
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$userContext = [
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'user_id' => $userId,
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'organization_id' => $this->getCurrentOrgId(), // può essere null
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'consulting_firm_id' => $user['consulting_firm_id'] ?? null,
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];
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try {
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$aiService = new AIService();
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$result = $aiService->askWithRag($question, $userContext);
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// Audit best-effort (non blocca la risposta)
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try {
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$aiService->logInteraction(
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(int) ($userContext['organization_id'] ?? 0),
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(int) ($userId ?? 0),
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'qa',
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mb_substr($question, 0, 200),
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mb_substr((string) ($result['answer'] ?? ''), 0, 500),
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);
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} catch (Throwable $e) {
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error_log('[AiController::ask] logInteraction failed: ' . $e->getMessage());
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}
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$this->jsonSuccess([
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'answer' => $result['answer'] ?? '',
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'sources' => $result['sources'] ?? [],
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'rag_used' => $result['rag_used'] ?? false,
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]);
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} catch (Throwable $e) {
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error_log('[AiController::ask] ' . $e->getMessage());
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$this->jsonError('Assistente AI non disponibile in questo momento', 503, 'AI_UNAVAILABLE');
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}
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}
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}
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