Baseline snapshot of custom AI implementation before Laravel AI SDK migration. Includes: - Custom services: GeminiTextGenerationService, TextGenerationService (OpenAI), ImageGenerationService, AudioGenerationService, VideoGenerationService - IntentDetector for content moderation via keyword matching - AI enums: Intent, Orientation, UsageType - Blade prompt templates: system.blade.php, image.blade.php, video.blade.php - AiMessage with content_html accessor (markdown rendering) - AiUsageLog for monthly quota tracking per account - PostAssistantController with regex-based [GENERATE_*] parsing - WritingAssistantTab with markdown rendering, add-to-post, attachments - Workspace brand fields (name, description, tone, voice_notes) in system prompt - Session state block injected into prompts (thread counts, quota remaining) - AttachmentCollector pattern will replace the regex approach in Phase 2 - Post comments with replies, emoji reactions, real-time via Echo - Assets page with Unsplash + Giphy integrations
247 lines
10 KiB
PHP
247 lines
10 KiB
PHP
<?php
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declare(strict_types=1);
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namespace App\Http\Controllers\App;
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use App\Enums\Ai\Intent;
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use App\Enums\Ai\Orientation;
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use App\Enums\Ai\UsageType;
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use App\Features\AiImagesLimit;
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use App\Features\AiVideosLimit;
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use App\Http\Requests\App\Assistant\StoreAssistantMessageRequest;
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use App\Models\AiMessage;
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use App\Models\AiUsageLog;
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use App\Models\Post;
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use App\Services\Ai\AudioGenerationService;
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use App\Services\Ai\Contracts\TextGenerationInterface;
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use App\Services\Ai\ImageGenerationService;
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use App\Services\Ai\IntentDetector;
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use App\Services\Ai\VideoGenerationService;
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use Illuminate\Http\JsonResponse;
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use Illuminate\Http\Request;
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use Illuminate\Support\Facades\Log;
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use Laravel\Pennant\Feature;
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use Symfony\Component\HttpFoundation\Response;
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class PostAssistantController extends Controller
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{
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public function index(Request $request, Post $post): JsonResponse
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{
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$workspace = $request->user()->currentWorkspace;
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if ($post->workspace_id !== $workspace->id) {
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abort(Response::HTTP_FORBIDDEN);
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}
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$messages = $post->aiMessages()
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->with('user')
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->oldest()
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->get();
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return response()->json(['messages' => $messages]);
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}
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public function store(
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StoreAssistantMessageRequest $request,
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Post $post,
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IntentDetector $intentDetector,
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TextGenerationInterface $textService,
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ImageGenerationService $imageService,
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AudioGenerationService $audioService,
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VideoGenerationService $videoService,
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): JsonResponse {
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$workspace = $request->user()->currentWorkspace;
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if ($post->workspace_id !== $workspace->id) {
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abort(Response::HTTP_FORBIDDEN);
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}
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$validated = $request->validated();
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$prompt = data_get($validated, 'body');
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$userMessage = $post->aiMessages()->create([
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'user_id' => $request->user()->id,
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'role' => 'user',
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'content' => $prompt,
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]);
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$imageUrl = null;
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if ($request->hasFile('image')) {
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$media = $workspace->addMedia($request->file('image'), 'assets');
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$imageUrl = $media->url;
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$userMessage->update([
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'attachments' => [['id' => $media->id, 'path' => $media->path, 'url' => $media->url, 'type' => 'image', 'mime_type' => $media->mime_type]],
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]);
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}
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$userMessage->load('user');
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$intent = $intentDetector->detect($prompt);
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if ($intent === Intent::Blocked) {
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$assistantMessage = $post->aiMessages()->create([
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'role' => 'assistant',
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'content' => __('assistant.content_blocked'),
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'metadata' => ['intent' => $intent->value, 'error' => true],
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]);
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return response()->json([
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'user_message' => $userMessage,
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'assistant_message' => $assistantMessage,
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], Response::HTTP_CREATED);
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}
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try {
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$previousMessages = $post->aiMessages()
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->whereIn('role', ['user', 'assistant'])
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->where('id', '!=', $userMessage->id)
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->oldest()
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->limit(20)
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->get();
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$imagesInThread = 0;
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$videosInThread = 0;
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$history = $previousMessages
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->map(function (AiMessage $m) use (&$imagesInThread, &$videosInThread) {
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$content = $m->content;
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if ($m->role === 'assistant' && ! empty($m->attachments)) {
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$attachmentTypes = collect($m->attachments)
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->groupBy('type')
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->map(fn ($group) => count($group));
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$counts = [];
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foreach ($attachmentTypes as $type => $count) {
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$counts[] = "{$count} {$type}";
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if ($type === 'image') {
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$imagesInThread += $count;
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} elseif ($type === 'video') {
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$videosInThread += $count;
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}
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}
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$content .= "\n\n[This assistant message attached: ".implode(', ', $counts).']';
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}
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return ['role' => $m->role, 'content' => $content];
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})
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->all();
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$imageLimit = (int) Feature::for($workspace->account)->value(AiImagesLimit::class);
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$imageUsed = AiUsageLog::monthlyCount($workspace->account_id, UsageType::Image);
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$imageRemaining = max(0, $imageLimit - $imageUsed);
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$videoLimit = (int) Feature::for($workspace->account)->value(AiVideosLimit::class);
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$videoUsed = AiUsageLog::monthlyCount($workspace->account_id, UsageType::Video);
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$videoRemaining = max(0, $videoLimit - $videoUsed);
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$stateContext = sprintf(
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"[Session state — use this to track progress and respect quotas]\n".
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"- Images already generated in this conversation: %d\n".
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"- Videos already generated in this conversation: %d\n".
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"- Monthly quota remaining: %d images, %d videos\n",
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$imagesInThread,
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$videosInThread,
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$imageRemaining,
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$videoRemaining,
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);
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$promptWithState = "{$stateContext}\n{$prompt}";
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$responseContent = $textService->generate($promptWithState, $history, $workspace, $imageUrl);
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$attachments = [];
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$generatedIntent = $intent->value;
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$limitReached = false;
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// Build rich context from conversation history for media generation
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$conversationContext = collect($history)
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->map(fn (array $m) => "{$m['role']}: {$m['content']}")
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->implode("\n\n");
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$buildMediaPrompt = function (string $captionText) use ($prompt, $conversationContext): string {
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$parts = [$prompt];
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if ($conversationContext) {
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$parts[] = "Conversation context:\n{$conversationContext}";
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}
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if ($captionText) {
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$parts[] = "Caption generated for this post:\n{$captionText}";
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}
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return implode("\n\n", $parts);
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};
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if (preg_match('/\[GENERATE_IMAGE:(vertical|horizontal)\]/', $responseContent, $matches)) {
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$orientation = Orientation::tryFrom(data_get($matches, 1, 'vertical')) ?? Orientation::Vertical;
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$limit = Feature::for($workspace->account)->value(AiImagesLimit::class);
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$used = AiUsageLog::monthlyCount($workspace->account_id, UsageType::Image);
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if ($used >= $limit) {
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$responseContent = __('assistant.limit_reached_images');
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$limitReached = true;
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} else {
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$captionText = trim(preg_replace('/\[GENERATE_IMAGE:(vertical|horizontal)\]/', '', $responseContent));
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$mediaPrompt = $buildMediaPrompt($captionText);
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$result = $imageService->generate($mediaPrompt, $workspace, $request->user()->id, $post->id, $orientation);
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$responseContent = $captionText ?: __('assistant.image_generated');
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$attachments = [$result];
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$generatedIntent = 'image';
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}
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} elseif (preg_match('/\[GENERATE_VIDEO:(vertical|horizontal)\]/', $responseContent, $matches)) {
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$orientation = Orientation::tryFrom(data_get($matches, 1, 'vertical')) ?? Orientation::Vertical;
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$limit = Feature::for($workspace->account)->value(AiVideosLimit::class);
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$used = AiUsageLog::monthlyCount($workspace->account_id, UsageType::Video);
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if ($used >= $limit) {
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$responseContent = __('assistant.limit_reached_videos');
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$limitReached = true;
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} else {
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$captionText = trim(preg_replace('/\[GENERATE_VIDEO:(vertical|horizontal)\]/', '', $responseContent));
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$mediaPrompt = $buildMediaPrompt($captionText);
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$result = $videoService->generate($mediaPrompt, $workspace, $request->user()->id, $post->id, $orientation);
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$responseContent = $captionText ?: __('assistant.video_generated');
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$attachments = [$result];
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$generatedIntent = 'video';
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}
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} elseif (str_contains($responseContent, '[GENERATE_AUDIO]')) {
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$result = $audioService->generate($prompt, $workspace, $request->user()->id, $post->id);
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$responseContent = __('assistant.audio_generated');
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$attachments = [$result];
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$generatedIntent = 'audio';
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}
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$assistantMessage = $post->aiMessages()->create([
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'role' => 'assistant',
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'content' => $responseContent,
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'attachments' => $attachments,
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'metadata' => array_filter(['intent' => $generatedIntent, 'limit_reached' => $limitReached ?: null]),
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]);
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return response()->json([
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'user_message' => $userMessage,
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'assistant_message' => $assistantMessage,
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], Response::HTTP_CREATED);
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} catch (\Throwable $e) {
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Log::error('PostAssistantController error', ['error' => $e->getMessage()]);
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$errorMessage = $e instanceof \RuntimeException ? $e->getMessage() : __('assistant.error');
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$assistantMessage = $post->aiMessages()->create([
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'role' => 'assistant',
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'content' => $errorMessage,
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'metadata' => ['intent' => $intent->value, 'error' => true],
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]);
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return response()->json([
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'user_message' => $userMessage,
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'assistant_message' => $assistantMessage,
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], Response::HTTP_CREATED);
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}
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}
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}
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