Stage 16 — AI Layer: VIN decoder + diagnostic / parts / price helpers
VinDecoder (deterministic, no API): - ISO 3779/3780 parsing: WMI manufacturer (~60 brands), year (cyclical with post-2010 disambiguation via position 7), region, plant, NA checksum - Strip non-VIN chars, accept dashes/spaces, reject I/O/Q per spec AiAssistantService: - Refactored provider HTTP into postClaude/postOpenAI/postGemini so both chat history and one-shot calls share the same transport - singleShot(system, userPrompt, provider?) for fire-and-forget calls - 4 specialized helpers with tight prompts: - suggestDiagnosis(WO) — diagnostician based on complaint + VIN info - suggestParts(WO, task) — OEM parts list for an operation - suggestPrice(Part) — markup recommendation with justification - vinRecommendations(vin, mileage) — scheduled maintenance from decoded VIN - monthlyUsage() — token spend MTD by provider Filament: - VehicleResource: "Decode VIN" + "AI: recomandări" actions - WorkOrderResource Edit: "AI: sugerează diagnostic" header action - PartResource: "AI: preț recomandat" action - Shared views: filament.tenant.ai-reply, filament.tenant.vin-decode - AiAssistant page shows monthly token usage banner Tests (13 new): - 8 VinDecoder unit tests with real VIN samples (Honda 2003, VW 1999, Audi 2014, Dacia, unknown WMI, lowercase/dashes, forbidden chars) - 5 AiHelpers feature tests with Http::fake covering all providers + no-key fallback + token usage aggregation Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -60,6 +60,11 @@ class AiAssistant extends Page
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->get();
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}
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public function getUsage(): array
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{
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return app(AiAssistantService::class)->monthlyUsage();
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}
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public function newChat(): void
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{
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$chat = AiChat::create([
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@@ -135,6 +135,18 @@ class PartResource extends Resource
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->query(fn ($q) => $q->where('qty', '<=', 0)),
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])
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->actions([
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Actions\Action::make('ai_price')
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->label('AI: preț recomandat')
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->icon('heroicon-m-sparkles')
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->color('primary')
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->modalHeading(fn (Part $r) => "AI: preț pentru {$r->name}")
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->modalSubmitAction(false)
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->modalCancelActionLabel('Închide')
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->modalContent(function (Part $r) {
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[$reply, $meta] = app(\App\Services\Ai\AiAssistantService::class)
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->suggestPrice($r);
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return view('filament.tenant.ai-reply', ['reply' => $reply, 'meta' => $meta]);
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}),
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Actions\Action::make('receive')
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->label('Recepție')
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->icon('heroicon-m-arrow-down-tray')
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@@ -93,6 +93,31 @@ class VehicleResource extends Resource
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Tables\Columns\TextColumn::make('created_at')->date()->sortable(),
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])
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->actions([
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Actions\Action::make('decode_vin')
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->label('Decode VIN')
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->icon('heroicon-m-cpu-chip')
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->color('gray')
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->visible(fn (\App\Models\Tenant\Vehicle $r) => ! empty($r->vin) && strlen($r->vin) === 17)
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->modalHeading(fn (\App\Models\Tenant\Vehicle $r) => 'Decode VIN: ' . $r->vin)
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->modalSubmitAction(false)
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->modalCancelActionLabel('Închide')
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->modalContent(function (\App\Models\Tenant\Vehicle $r) {
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$info = app(\App\Services\Ai\VinDecoder::class)->decode($r->vin);
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return view('filament.tenant.vin-decode', ['info' => $info, 'vehicle' => $r]);
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}),
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Actions\Action::make('ai_recommend')
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->label('AI: recomandări')
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->icon('heroicon-m-sparkles')
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->color('primary')
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->visible(fn (\App\Models\Tenant\Vehicle $r) => ! empty($r->vin))
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->modalHeading('Recomandări AI')
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->modalSubmitAction(false)
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->modalCancelActionLabel('Închide')
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->modalContent(function (\App\Models\Tenant\Vehicle $r) {
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[$reply, $meta] = app(\App\Services\Ai\AiAssistantService::class)
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->vinRecommendations($r->vin, (int) $r->mileage);
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return view('filament.tenant.ai-reply', ['reply' => $reply, 'meta' => $meta]);
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}),
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Actions\EditAction::make(),
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Actions\DeleteAction::make(),
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])
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@@ -15,6 +15,19 @@ class EditWorkOrder extends EditRecord
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protected function getHeaderActions(): array
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{
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return [
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Actions\Action::make('ai_diagnose')
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->label('AI: sugerează diagnostic')
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->icon('heroicon-m-sparkles')
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->color('primary')
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->visible(fn () => ! empty($this->record->complaint))
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->modalHeading('Diagnostic AI bazat pe plângerea clientului')
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->modalSubmitAction(false)
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->modalCancelActionLabel('Închide')
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->modalContent(function () {
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[$reply, $meta] = app(\App\Services\Ai\AiAssistantService::class)
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->suggestDiagnosis($this->record);
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return view('filament.tenant.ai-reply', ['reply' => $reply, 'meta' => $meta]);
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}),
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Actions\Action::make('tracking')
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->label('Link client (QR)')
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->icon('heroicon-m-qr-code')
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@@ -7,8 +7,12 @@ use App\Models\Tenant\AiChat;
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use App\Models\Tenant\AiMessage;
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use App\Models\Tenant\Client;
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use App\Models\Tenant\Lead;
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use App\Models\Tenant\Part;
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use App\Models\Tenant\Vehicle;
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use App\Models\Tenant\WorkOrder;
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use App\Tenancy\TenantManager;
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use Illuminate\Support\Carbon;
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use Illuminate\Support\Facades\DB;
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use Illuminate\Support\Facades\Http;
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/**
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@@ -175,6 +179,235 @@ TXT;
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];
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}
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// ─── One-shot AI helpers ─────────────────────────────────────────
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/**
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* Single-prompt call without persisting a chat. Used by quick-action buttons
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* (diagnose / suggest parts / suggest price / VIN recommendations).
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*
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* @return array{0:string, 1:array} [reply, meta]
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*/
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public function singleShot(string $systemPrompt, string $userPrompt, ?string $provider = null): array
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{
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$company = $this->currentCompany();
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if (! $company) return ['Niciun tenant rezolvat.', ['error' => 'no_tenant']];
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$aiCfg = (array) ($company->settings['ai'] ?? []);
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$provider ??= $aiCfg['default_provider'] ?? 'claude';
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$key = $aiCfg["{$provider}_key"] ?? null;
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if (! $key) {
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return ['⚠️ API key pentru ' . strtoupper($provider) . ' lipsește în Setări → AI.',
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['error' => 'no_api_key', 'provider' => $provider]];
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}
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$start = microtime(true);
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try {
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[$reply, $meta] = match ($provider) {
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'claude' => $this->postClaude($key, $systemPrompt, [['role' => 'user', 'content' => $userPrompt]]),
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'gpt' => $this->postOpenAI($key, $systemPrompt, [['role' => 'user', 'content' => $userPrompt]]),
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'gemini' => $this->postGemini($key, $systemPrompt, [['role' => 'user', 'content' => $userPrompt]]),
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default => ['Provider necunoscut: ' . $provider, []],
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};
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} catch (\Throwable $e) {
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$reply = '❌ Eroare API: ' . $e->getMessage();
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$meta = ['error' => $e->getMessage()];
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}
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$meta['latency_ms'] = (int) ((microtime(true) - $start) * 1000);
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$meta['provider'] = $provider;
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return [$reply, $meta];
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}
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public function suggestDiagnosis(WorkOrder $wo): array
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{
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$vehicle = $wo->vehicle;
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$vinInfo = '';
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if ($vehicle?->vin) {
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$d = app(VinDecoder::class)->decode($vehicle->vin);
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if (! empty($d['manufacturer'])) {
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$vinInfo = " (VIN decode: {$d['manufacturer']} {$d['year']})";
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}
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}
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$sys = "Ești diagnostician auto cu 20 de ani experiență. Răspunzi scurt, structurat, "
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. "în română. Listează în ordine de probabilitate cauzele posibile + verificările "
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. "necesare. Nu inventezi date — dacă plângerea e vagă, sugerezi întrebări de clarificat.";
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$user = sprintf(
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"Mașina: %s %s %s%s, %s km.\nPlângere client: %s\n\nDă-mi top 3 cauze probabile și ce trebuie verificat la fiecare.",
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(string) ($vehicle->make ?? '?'),
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(string) ($vehicle->model ?? '?'),
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(string) ($vehicle->year ?? ''),
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$vinInfo,
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number_format((float) ($vehicle->mileage ?? 0), 0, '.', ' '),
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$wo->complaint ?: '(nu e completată)',
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);
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return $this->singleShot($sys, $user);
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}
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public function suggestParts(WorkOrder $wo, string $task): array
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{
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$vehicle = $wo->vehicle;
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$sys = "Ești expert piese auto. Pentru mașina dată și operațiunea solicitată, "
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. "listează piesele necesare cu coduri OEM tipice când le știi (sau familie generică). "
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. "Răspunde în română, format listă.";
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$user = sprintf(
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"Mașina: %s %s %s.\nOperațiune: %s.\nListează piesele necesare + coduri OEM dacă există + cantități.",
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(string) ($vehicle->make ?? '?'),
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(string) ($vehicle->model ?? '?'),
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(string) ($vehicle->year ?? ''),
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$task,
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);
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return $this->singleShot($sys, $user);
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}
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public function suggestPrice(Part $part): array
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{
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$company = $this->currentCompany();
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$currency = (string) data_get($company?->settings, 'currency', 'MDL');
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$sys = "Ești manager comercial pentru un magazin de piese auto din Moldova. "
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. "Sugerezi preț de vânzare bazat pe costul de achiziție, categorie și brand. "
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. "Răspunde scurt cu: preț recomandat, markup %, justificare 1-2 fraze.";
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$user = sprintf(
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"Piesa: %s\nBrand: %s\nCategorie: %s\nCost achiziție: %.2f %s\nPreț actual: %.2f %s",
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$part->name,
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$part->brand ?? '?',
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$part->category ?? '?',
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(float) $part->buy_price, $currency,
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(float) $part->sell_price, $currency,
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);
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return $this->singleShot($sys, $user);
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}
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public function vinRecommendations(string $vin, ?int $mileage = null): array
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{
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$decoded = app(VinDecoder::class)->decode($vin);
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if (empty($decoded['manufacturer'])) {
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return ["VIN nu poate fi decodat — verifică formatul (17 caractere).", ['error' => 'invalid_vin']];
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}
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$sys = "Ești expert service auto. Pe baza datelor mașinii și kilometrajului, "
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. "sugerezi mentenanța programată recomandată de producător + verificările "
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. "tipice pentru vârsta mașinii. Format listă scurtă.";
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$user = sprintf(
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"Mașina decodată din VIN: %s din %d (%s).\n%sCe verificări și mentenanță programată recomandăm acum?",
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$decoded['manufacturer'],
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$decoded['year'],
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$decoded['country'] ?? '?',
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$mileage ? "Kilometraj actual: " . number_format($mileage, 0, '.', ' ') . " km.\n" : '',
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);
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[$reply, $meta] = $this->singleShot($sys, $user);
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$meta['vin_decoded'] = $decoded;
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return [$reply, $meta];
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}
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// ─── Token usage tracking ────────────────────────────────────────
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/**
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* Aggregate token spend for current month, grouped by provider.
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*
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* @return array<string, array{tokens_in:int, tokens_out:int, calls:int}>
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*/
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public function monthlyUsage(): array
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{
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$start = Carbon::now()->startOfMonth();
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$rows = AiMessage::where('role', 'assistant')
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->where('created_at', '>=', $start)
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->get(['meta']);
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$out = [];
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foreach ($rows as $r) {
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$meta = (array) $r->meta;
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$provider = (string) ($meta['provider'] ?? 'unknown');
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$out[$provider] ??= ['tokens_in' => 0, 'tokens_out' => 0, 'calls' => 0];
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$out[$provider]['tokens_in'] += (int) ($meta['tokens_in'] ?? 0);
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$out[$provider]['tokens_out'] += (int) ($meta['tokens_out'] ?? 0);
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$out[$provider]['calls'] += 1;
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}
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return $out;
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}
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// ─── Provider HTTP — common form, used by both chat + single-shot ─
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protected function postClaude(string $key, string $system, array $messages): array
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{
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$r = Http::withHeaders([
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'x-api-key' => $key,
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'anthropic-version' => '2023-06-01',
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'content-type' => 'application/json',
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])
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->timeout(60)
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->post('https://api.anthropic.com/v1/messages', [
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'model' => 'claude-sonnet-4-5',
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'max_tokens' => 1024,
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'system' => $system,
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'messages' => $messages,
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]);
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if (! $r->successful()) {
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return ['❌ ' . ($r->json('error.message') ?? 'Anthropic ' . $r->status()), ['status' => $r->status()]];
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}
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$body = $r->json();
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$text = collect($body['content'] ?? [])
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->where('type', 'text')->pluck('text')->implode("\n");
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return [$text ?: '(răspuns gol)', [
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'model' => $body['model'] ?? null,
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'tokens_in' => $body['usage']['input_tokens'] ?? null,
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'tokens_out' => $body['usage']['output_tokens'] ?? null,
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]];
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}
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protected function postOpenAI(string $key, string $system, array $messages): array
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{
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$r = Http::withHeaders(['Authorization' => 'Bearer ' . $key, 'content-type' => 'application/json'])
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->timeout(60)
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->post('https://api.openai.com/v1/chat/completions', [
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'model' => 'gpt-4o-mini',
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'messages' => array_merge([['role' => 'system', 'content' => $system]], $messages),
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'max_tokens' => 1024,
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]);
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if (! $r->successful()) {
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return ['❌ ' . ($r->json('error.message') ?? 'OpenAI ' . $r->status()), ['status' => $r->status()]];
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}
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$body = $r->json();
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return [
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$body['choices'][0]['message']['content'] ?? '(răspuns gol)',
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[
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'model' => $body['model'] ?? null,
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'tokens_in' => $body['usage']['prompt_tokens'] ?? null,
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'tokens_out' => $body['usage']['completion_tokens'] ?? null,
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],
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];
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}
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protected function postGemini(string $key, string $system, array $messages): array
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{
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$contents = [];
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foreach ($messages as $m) {
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$contents[] = [
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'role' => $m['role'] === 'assistant' ? 'model' : 'user',
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'parts' => [['text' => $m['content']]],
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];
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}
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$r = Http::withHeaders(['content-type' => 'application/json'])
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->timeout(60)
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->post('https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=' . $key, [
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'systemInstruction' => ['parts' => [['text' => $system]]],
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'contents' => $contents,
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'generationConfig' => ['maxOutputTokens' => 1024],
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]);
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if (! $r->successful()) {
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return ['❌ Gemini ' . $r->status(), ['status' => $r->status()]];
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}
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$body = $r->json();
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$text = $body['candidates'][0]['content']['parts'][0]['text'] ?? '(răspuns gol)';
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return [$text, ['model' => 'gemini-1.5-flash', 'tokens' => $body['usageMetadata'] ?? null]];
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}
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|
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protected function currentCompany(): ?Company
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{
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$id = app(TenantManager::class)->currentId();
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if (! $id) return null;
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return Company::withoutGlobalScopes()->find($id);
|
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}
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|
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protected function callGemini(string $key, AiChat $chat, string $msg, Company $company): array
|
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{
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$contents = [];
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|
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@@ -0,0 +1,171 @@
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<?php
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|
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namespace App\Services\Ai;
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|
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/**
|
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* Deterministic VIN decoder. Extracts year, country and manufacturer from the
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* 17-character Vehicle Identification Number per ISO 3779/3780. No external API.
|
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*
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* Reliable signals:
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* - position 1 → world region (geographic prefix)
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* - positions 1-3 → WMI (world manufacturer identifier)
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* - position 10 → model year (cyclical 30-year mapping)
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* - position 11 → assembly plant code
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* - position 9 → check digit (NA-spec checksum, optional verification)
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*
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* Granular model/trim info requires a licensed database (TecDoc / NHTSA API);
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* those are out of scope here. We return a "best-effort" identification.
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*/
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class VinDecoder
|
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{
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private const YEAR_CODES = [
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'A' => [1980, 2010], 'B' => [1981, 2011], 'C' => [1982, 2012], 'D' => [1983, 2013],
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'E' => [1984, 2014], 'F' => [1985, 2015], 'G' => [1986, 2016], 'H' => [1987, 2017],
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'J' => [1988, 2018], 'K' => [1989, 2019], 'L' => [1990, 2020], 'M' => [1991, 2021],
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'N' => [1992, 2022], 'P' => [1993, 2023], 'R' => [1994, 2024], 'S' => [1995, 2025],
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'T' => [1996, 2026], 'V' => [1997, 2027], 'W' => [1998, 2028], 'X' => [1999, 2029],
|
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'Y' => [2000, 2030], '1' => [2001, 2031], '2' => [2002, 2032], '3' => [2003, 2033],
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'4' => [2004, 2034], '5' => [2005, 2035], '6' => [2006, 2036], '7' => [2007, 2037],
|
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'8' => [2008, 2038], '9' => [2009, 2039],
|
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];
|
||||
|
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// Region by first char (ISO 3779 broad regions).
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private const REGIONS = [
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'A' => 'Africa', 'B' => 'Africa', 'C' => 'Africa', 'D' => 'Africa',
|
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'E' => 'Africa', 'F' => 'Africa', 'G' => 'Africa', 'H' => 'Africa',
|
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'J' => 'Asia', 'K' => 'Asia', 'L' => 'Asia', 'M' => 'Asia',
|
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'N' => 'Asia', 'P' => 'Asia', 'R' => 'Asia',
|
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'S' => 'Europe', 'T' => 'Europe', 'U' => 'Europe', 'V' => 'Europe',
|
||||
'W' => 'Europe', 'X' => 'Europe', 'Y' => 'Europe', 'Z' => 'Europe',
|
||||
'1' => 'North America', '2' => 'North America', '3' => 'North America',
|
||||
'4' => 'North America', '5' => 'North America',
|
||||
'6' => 'Oceania', '7' => 'Oceania',
|
||||
'8' => 'South America', '9' => 'South America',
|
||||
];
|
||||
|
||||
// Selected WMI → manufacturer/country. Covers most common European/Asian/US
|
||||
// brands relevant for a Moldova service shop.
|
||||
private const WMI = [
|
||||
// Volkswagen group
|
||||
'WVW' => ['VW', 'Germany'], 'WV1' => ['VW Commercial', 'Germany'], 'WV2' => ['VW Bus', 'Germany'],
|
||||
'WAU' => ['Audi', 'Germany'], 'WA1' => ['Audi SUV', 'Germany'],
|
||||
'TRU' => ['Audi', 'Hungary'], 'WUA' => ['Audi Sport', 'Germany'],
|
||||
'VWV' => ['VW', 'Spain'], 'VSS' => ['SEAT', 'Spain'], 'TMB' => ['Škoda', 'Czechia'],
|
||||
// BMW
|
||||
'WBA' => ['BMW', 'Germany'], 'WBS' => ['BMW M', 'Germany'], 'WBY' => ['BMW i', 'Germany'],
|
||||
'WBX' => ['BMW X SUV', 'USA'], 'NM0' => ['BMW Mini', 'Turkey'],
|
||||
// Mercedes
|
||||
'WDB' => ['Mercedes-Benz', 'Germany'], 'WDC' => ['Mercedes-Benz SUV', 'USA'],
|
||||
'WDD' => ['Mercedes-Benz', 'Germany'], 'WDF' => ['Mercedes-Benz Van', 'Germany'],
|
||||
// Porsche
|
||||
'WP0' => ['Porsche', 'Germany'], 'WP1' => ['Porsche SUV', 'Germany'],
|
||||
// Opel / Vauxhall
|
||||
'W0L' => ['Opel', 'Germany'], 'W0V' => ['Opel/Vauxhall', 'Germany'],
|
||||
// Ford
|
||||
'1FA' => ['Ford', 'USA'], '1FT' => ['Ford Truck', 'USA'], '1FM' => ['Ford SUV', 'USA'],
|
||||
'WF0' => ['Ford Europe', 'Germany'],
|
||||
// Honda
|
||||
'1HG' => ['Honda', 'USA'], 'JHM' => ['Honda', 'Japan'], 'JHL' => ['Honda SUV', 'Japan'],
|
||||
// Toyota
|
||||
'JT2' => ['Toyota', 'Japan'], 'JTD' => ['Toyota', 'Japan'], 'JTE' => ['Toyota', 'Japan'],
|
||||
'4T1' => ['Toyota', 'USA'], '5TD' => ['Toyota', 'USA'],
|
||||
// Hyundai/Kia
|
||||
'KMH' => ['Hyundai', 'Korea'], 'KNA' => ['Kia', 'Korea'], 'KND' => ['Kia SUV', 'Korea'],
|
||||
// Renault/Dacia
|
||||
'VF1' => ['Renault', 'France'], 'VF6' => ['Renault Trucks', 'France'],
|
||||
'UU1' => ['Dacia', 'Romania'], 'UU3' => ['Dacia Pickup', 'Romania'],
|
||||
// Peugeot/Citroën
|
||||
'VF3' => ['Peugeot', 'France'], 'VF7' => ['Citroën', 'France'],
|
||||
// Fiat group
|
||||
'ZFA' => ['Fiat', 'Italy'], 'ZAR' => ['Alfa Romeo', 'Italy'], 'ZFF' => ['Ferrari', 'Italy'],
|
||||
// Volvo
|
||||
'YV1' => ['Volvo Cars', 'Sweden'], 'YV4' => ['Volvo SUV', 'Sweden'],
|
||||
// Nissan
|
||||
'JN1' => ['Nissan', 'Japan'], 'JN8' => ['Nissan SUV', 'Japan'], '1N4' => ['Nissan', 'USA'],
|
||||
// Mazda
|
||||
'JM1' => ['Mazda', 'Japan'], 'JMZ' => ['Mazda', 'Japan'],
|
||||
// Subaru
|
||||
'JF1' => ['Subaru', 'Japan'], 'JF2' => ['Subaru SUV', 'Japan'],
|
||||
// Mitsubishi
|
||||
'JMB' => ['Mitsubishi', 'Japan'], 'JA3' => ['Mitsubishi', 'Japan'],
|
||||
// Lada / Russian
|
||||
'XTA' => ['Lada/AvtoVAZ', 'Russia'], 'X4X' => ['UAZ', 'Russia'],
|
||||
// Tesla
|
||||
'5YJ' => ['Tesla', 'USA'], 'LRW' => ['Tesla', 'China'],
|
||||
// Chinese brands
|
||||
'LGW' => ['Great Wall', 'China'], 'LJV' => ['JAC', 'China'], 'LSJ' => ['MG/SAIC', 'China'],
|
||||
'LB1' => ['Geely', 'China'],
|
||||
];
|
||||
|
||||
public function decode(string $raw): array
|
||||
{
|
||||
$vin = preg_replace('/[^A-HJ-NPR-Z0-9]/', '', strtoupper($raw));
|
||||
if (strlen($vin) !== 17) {
|
||||
return [
|
||||
'vin' => $vin,
|
||||
'valid_length' => false,
|
||||
'reason' => 'VIN must be exactly 17 characters (no I, O, Q allowed).',
|
||||
];
|
||||
}
|
||||
|
||||
$wmi = substr($vin, 0, 3);
|
||||
$yearCode = $vin[9];
|
||||
$plant = $vin[10];
|
||||
|
||||
[$manufacturer, $country] = self::WMI[$wmi] ?? [null, null];
|
||||
$region = self::REGIONS[$vin[0]] ?? null;
|
||||
|
||||
$year = $this->resolveYear($yearCode, $vin);
|
||||
|
||||
return [
|
||||
'vin' => $vin,
|
||||
'valid_length' => true,
|
||||
'wmi' => $wmi,
|
||||
'region' => $region,
|
||||
'country' => $country,
|
||||
'manufacturer' => $manufacturer,
|
||||
'year' => $year,
|
||||
'plant' => $plant,
|
||||
'checksum_valid' => $this->validateChecksum($vin),
|
||||
];
|
||||
}
|
||||
|
||||
/**
|
||||
* Position 10 encodes year cyclically. Use position 7 as A-Z → 2010+, 0-9 → pre-2010
|
||||
* disambiguator for new-spec VINs (since 2010 NHTSA spec).
|
||||
*/
|
||||
private function resolveYear(string $code, string $vin): ?int
|
||||
{
|
||||
if (! isset(self::YEAR_CODES[$code])) return null;
|
||||
[$old, $new] = self::YEAR_CODES[$code];
|
||||
|
||||
// Position 7 alpha → post-2010 cycle; numeric → pre-2010
|
||||
$p7 = $vin[6];
|
||||
return ctype_alpha($p7) ? $new : $old;
|
||||
}
|
||||
|
||||
/**
|
||||
* ISO 3779 / NA-spec checksum. Position 9 = mod-11 check digit (X = 10).
|
||||
* Optional — many European/Asian manufacturers don't follow the spec.
|
||||
*/
|
||||
private function validateChecksum(string $vin): bool
|
||||
{
|
||||
$weights = [8, 7, 6, 5, 4, 3, 2, 10, 0, 9, 8, 7, 6, 5, 4, 3, 2];
|
||||
$values = [
|
||||
'A' => 1, 'B' => 2, 'C' => 3, 'D' => 4, 'E' => 5, 'F' => 6, 'G' => 7, 'H' => 8,
|
||||
'J' => 1, 'K' => 2, 'L' => 3, 'M' => 4, 'N' => 5, 'P' => 7, 'R' => 9,
|
||||
'S' => 2, 'T' => 3, 'U' => 4, 'V' => 5, 'W' => 6, 'X' => 7, 'Y' => 8, 'Z' => 9,
|
||||
];
|
||||
|
||||
$sum = 0;
|
||||
for ($i = 0; $i < 17; $i++) {
|
||||
$c = $vin[$i];
|
||||
$v = ctype_digit($c) ? (int) $c : ($values[$c] ?? null);
|
||||
if ($v === null) return false;
|
||||
$sum += $v * $weights[$i];
|
||||
}
|
||||
$check = $sum % 11;
|
||||
$expected = $check === 10 ? 'X' : (string) $check;
|
||||
return $vin[8] === $expected;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user