300 lines
11 KiB
PHP
300 lines
11 KiB
PHP
<?php
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namespace App\Services;
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use App\Models\Candidate;
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use App\Models\Document;
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use Smalot\PdfParser\Parser;
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use Illuminate\Support\Facades\Storage;
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use Illuminate\Support\Facades\Http;
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use Illuminate\Support\Facades\Log;
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class AIAnalysisService
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{
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protected $parser;
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public function __construct()
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{
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$this->parser = new Parser();
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}
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/**
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* Analyze a candidate against their assigned Job Position.
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*/
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public function analyze(Candidate $candidate, ?string $provider = null)
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{
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if (!$candidate->job_position_id) {
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throw new \Exception("Le candidat n'est associé à aucune fiche de poste.");
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}
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$candidate->load(['documents', 'jobPosition']);
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$cvText = $this->extractTextFromDocument($candidate->documents->where('type', 'cv')->first());
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$letterText = $this->extractTextFromDocument($candidate->documents->where('type', 'cover_letter')->first());
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if (!$cvText) {
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throw new \Exception("Impossible d'extraire le texte du CV.");
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}
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return $this->callAI($candidate, $cvText, $letterText, $provider);
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}
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/**
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* Extract text from a PDF document.
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*/
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protected function extractTextFromDocument(?Document $document): ?string
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{
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if (!$document || !Storage::disk('local')->exists($document->file_path)) {
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return null;
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}
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try {
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$pdf = $this->parser->parseFile(Storage::disk('local')->path($document->file_path));
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$text = $pdf->getText();
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return $this->cleanText($text);
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} catch (\Exception $e) {
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Log::error("PDF Extraction Error: " . $e->getMessage());
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return null;
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}
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}
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/**
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* Clean text to ensure it's valid UTF-8 and fits well in JSON.
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*/
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protected function cleanText(string $text): string
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{
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// Remove non-UTF8 characters
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$text = mb_convert_encoding($text, 'UTF-8', 'UTF-8');
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// Remove control characters (except newlines and tabs)
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$text = preg_replace('/[^\x20-\x7E\xA0-\xFF\x0A\x0D\x09]/u', '', $text);
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return trim($text);
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}
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/**
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* Call the AI API.
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*/
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protected function callAI(Candidate $candidate, string $cvText, ?string $letterText, ?string $provider = null)
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{
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$provider = $provider ?: env('AI_DEFAULT_PROVIDER', 'ollama');
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$jobTitle = $candidate->jobPosition->title;
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$jobDesc = $candidate->jobPosition->description;
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$requirements = implode(", ", $candidate->jobPosition->requirements ?? []);
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$prompt = "Tu es un expert en recrutement technique. Ton rôle est d'analyser le profil d'un candidat pour le poste de '{$jobTitle}'.";
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if (!$candidate->jobPosition->ai_prompt) {
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$prompt .= " Attache une grande importance aux compétences techniques et à l'expérience, mais aussi à la capacité d'intégration et à la motivation.
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DESCRIPTION DU POSTE:
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{$jobDesc}
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COMPÉTENCES REQUISES:
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{$requirements}
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CONTENU DU CV:
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{$cvText}
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CONTENU DE LA LETTRE DE MOTIVATION:
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" . ($letterText ?? "Non fournie") . "
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Fournis une analyse structurée en JSON avec les clés suivantes:
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- match_score: note de 0 à 100
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- summary: résumé de 3-4 phrases sur le profil
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- strengths: liste des points forts par rapport au poste
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- gaps: liste des compétences manquantes ou points de vigilance
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- verdict: une conclusion (Favorable, Très Favorable, Réservé, Défavorable)";
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} else {
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// Context injection for the custom prompt
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$prompt .= "
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CONTEXTE DU POSTE:
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{$jobDesc}
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COMPÉTENCES REQUISES:
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{$requirements}
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CONTENU DU CV DU CANDIDAT:
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{$cvText}
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CONTENU DE LA LETTRE DE MOTIVATION:
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" . ($letterText ?? "Non fournie") . "
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CONSIGNES D'ANALYSE SPÉCIFIQUES:
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" . $candidate->jobPosition->ai_prompt;
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}
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$prompt .= "\n\nRéponds UNIQUEMENT en JSON pur, sans texte avant ou après. Assure-toi que le JSON est valide.";
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$analysis = match ($provider) {
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'openai' => $this->callOpenAI($prompt),
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'anthropic' => $this->callAnthropic($prompt),
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'gemini' => $this->callGemini($prompt),
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default => $this->callOllama($prompt),
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};
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// Normalize keys for frontend compatibility
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$normalized = $this->normalizeAnalysis($analysis);
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// Inject metadata
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$normalized['provider'] = $provider;
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$normalized['analyzed_at'] = now()->toIso8601String();
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return $normalized;
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}
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/**
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* Normalize the AI response keys to ensure frontend compatibility.
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*/
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protected function normalizeAnalysis(array $data): array
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{
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$normalized = $data;
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// Map custom keys to standard keys if they exist
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if (isset($data['score_global']) && !isset($data['match_score'])) {
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$normalized['match_score'] = $data['score_global'];
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}
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if (isset($data['recommandation']) && !isset($data['verdict'])) {
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$normalized['verdict'] = $data['recommandation'];
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}
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if (isset($data['synthese']) && !isset($data['summary'])) {
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$normalized['summary'] = $data['synthese'];
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}
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if (isset($data['points_vigilance']) && !isset($data['gaps'])) {
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// Handle if points_vigilance is a list of objects (as in user's prompt)
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if (is_array($data['points_vigilance']) && isset($data['points_vigilance'][0]) && is_array($data['points_vigilance'][0])) {
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$normalized['gaps'] = array_map(fn($i) => ($i['type'] ?? '') . ': ' . ($i['description'] ?? ''), $data['points_vigilance']);
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} else {
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$normalized['gaps'] = $data['points_vigilance'];
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}
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}
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// Ensure default keys exist even if empty
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$normalized['match_score'] = $normalized['match_score'] ?? 0;
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$normalized['summary'] = $normalized['summary'] ?? "Pas de résumé généré.";
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$normalized['verdict'] = $normalized['verdict'] ?? "Indéterminé";
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$normalized['strengths'] = $normalized['strengths'] ?? [];
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$normalized['gaps'] = $normalized['gaps'] ?? [];
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return $normalized;
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}
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protected function callOllama(string $prompt)
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{
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$ollamaUrl = env('OLLAMA_URL', 'http://localhost:11434/api/generate');
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$ollamaModel = env('OLLAMA_MODEL', 'mistral');
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try {
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$response = Http::timeout(120)->post($ollamaUrl, [
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'model' => $ollamaModel,
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'prompt' => $prompt,
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'stream' => false,
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'format' => 'json'
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]);
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if ($response->successful()) {
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return json_decode($response->json('response'), true);
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} else {
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Log::warning("AI Provider Error (Ollama): HTTP " . $response->status() . " - " . $response->body());
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}
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} catch (\Exception $e) {
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Log::error("AI Connection Failed (Ollama): " . $e->getMessage());
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}
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return $this->getSimulatedAnalysis();
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}
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protected function callOpenAI(string $prompt)
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{
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$apiKey = env('OPENAI_API_KEY');
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if (!$apiKey) return $this->getSimulatedAnalysis();
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try {
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$response = Http::withToken($apiKey)->timeout(60)->post('https://api.openai.com/v1/chat/completions', [
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'model' => 'gpt-4o',
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'messages' => [['role' => 'user', 'content' => $prompt]],
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'response_format' => ['type' => 'json_object']
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]);
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if ($response->successful()) {
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return json_decode($response->json('choices.0.message.content'), true);
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}
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} catch (\Exception $e) {
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Log::error("OpenAI Analysis Failed: " . $e->getMessage());
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}
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return $this->getSimulatedAnalysis();
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}
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protected function callAnthropic(string $prompt)
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{
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$apiKey = env('ANTHROPIC_API_KEY');
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if (!$apiKey) return $this->getSimulatedAnalysis();
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try {
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$response = Http::withHeaders([
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'x-api-key' => $apiKey,
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'anthropic-version' => '2023-06-01',
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'content-type' => 'application/json'
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])->timeout(60)->post('https://api.anthropic.com/v1/messages', [
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'model' => 'claude-3-5-sonnet-20240620',
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'max_tokens' => 2048,
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'messages' => [['role' => 'user', 'content' => $prompt]]
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]);
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if ($response->successful()) {
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$content = $response->json('content.0.text');
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return json_decode($this->extractJson($content), true);
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}
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} catch (\Exception $e) {
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Log::error("Anthropic Analysis Failed: " . $e->getMessage());
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}
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return $this->getSimulatedAnalysis();
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}
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protected function callGemini(string $prompt)
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{
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$apiKey = env('GEMINI_API_KEY');
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if (!$apiKey) return $this->getSimulatedAnalysis();
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try {
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$response = Http::timeout(60)->post("https://generativelanguage.googleapis.com/v1/models/gemini-2.5-flash:generateContent?key=" . $apiKey, [
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'contents' => [['parts' => [['text' => $prompt]]]]
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]);
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if ($response->successful()) {
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$text = $response->json('candidates.0.content.parts.0.text');
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return json_decode($this->extractJson($text), true);
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} else {
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Log::error("Gemini API Error: " . $response->status() . " - " . $response->body());
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}
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} catch (\Exception $e) {
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Log::error("Gemini Connection Failed: " . $e->getMessage());
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}
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return $this->getSimulatedAnalysis();
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}
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private function extractJson($string)
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{
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preg_match('/\{.*\}/s', $string, $matches);
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return $matches[0] ?? '{}';
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}
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private function getSimulatedAnalysis()
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{
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return [
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'match_score' => 75,
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'summary' => "Analyse simulée (IA non connectée ou erreur API). Le candidat peut avoir un profil intéressant mais une vérification manuelle est nécessaire.",
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'strengths' => ["Expérience pertinente", "Bonne présentation"],
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'gaps' => ["Compétences spécifiques à confirmer"],
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'verdict' => "Favorable"
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];
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}
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}
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