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| 1 | <?php |
| 2 | |
| 3 | namespace App\Http\Services; |
| 4 | |
| 5 | use App\Http\Models\AIPrompts; |
| 6 | use App\Http\Models\Parameter; |
| 7 | use App\Http\Models\RolePlayConfig; |
| 8 | use App\Http\Models\RolePlayProjects; |
| 9 | use App\Http\Services\RolePlay\CompanyResearchService; |
| 10 | use Illuminate\Support\Facades\Log; |
| 11 | |
| 12 | /** |
| 13 | * Orchestrates AI-driven generation for the persona builder's three |
| 14 | * sections (Persona Details, Product Details, ICPs) and for single-ICP |
| 15 | * regeneration. |
| 16 | * |
| 17 | * Each public method is independent so the frontend can call them per-tab, |
| 18 | * letting the user refine one section without losing data in the others. |
| 19 | * |
| 20 | * The service: |
| 21 | * - reads its prompt templates from the `ai_prompts` collection by product key |
| 22 | * - uses {@see WebScraperService::scrapeCached()} for the 24h-cached scrape |
| 23 | * - delegates LLM calls to {@see NodeJsAIBridgeService} |
| 24 | * - normalizes/parses Gemini JSON responses |
| 25 | * - hydrates ICPs with personality + avatar + voice via personality config |
| 26 | * |
| 27 | * Pure orchestration; persistence stays in the controller (which calls |
| 28 | * this service) so the controller can write the resulting `customer_profiles` |
| 29 | * and `customer_profiles_signature` to the persona record. |
| 30 | */ |
| 31 | class RolePlayAutoPopulateService |
| 32 | { |
| 33 | public function __construct( |
| 34 | private readonly NodeJsAIBridgeService $bridge, |
| 35 | private readonly WebScraperService $scraper, |
| 36 | private readonly CompanyResearchService $companyResearch, |
| 37 | ) {} |
| 38 | |
| 39 | /** |
| 40 | * Generate the Persona Details section from a website URL. |
| 41 | * |
| 42 | * @param string $websiteUrl The company/product URL |
| 43 | * @param mixed $user The authenticated user (used for AI request logging) |
| 44 | * @return array{ |
| 45 | * name?: string, |
| 46 | * description?: string, |
| 47 | * industry?: array<int, string>, |
| 48 | * target_job_titles?: array<int, string>, |
| 49 | * company_sizes?: array<int, string> |
| 50 | * } |
| 51 | * |
| 52 | * @throws \RuntimeException If the AI returns an unparseable response. |
| 53 | */ |
| 54 | public function generatePersonaDetails(string $websiteUrl, mixed $user = null): array |
| 55 | { |
| 56 | // Attempt deep research lookup/creation |
| 57 | $research = $this->companyResearch->getOrCreateForUrl($websiteUrl, $user); |
| 58 | |
| 59 | if ($research->status === 'completed' && trim($research->research ?? '') !== '') { |
| 60 | // Use deep research as primary context, scraped content as supplement |
| 61 | $content = $research->research; |
| 62 | if (trim($research->scraped_content ?? '') !== '') { |
| 63 | $content .= "\n\n--- Supplementary Website Content ---\n".$research->scraped_content; |
| 64 | } |
| 65 | } else { |
| 66 | // Graceful degradation: fall back to scrape-only |
| 67 | $content = $this->scraper->scrapeCached($websiteUrl); |
| 68 | } |
| 69 | |
| 70 | if (trim($content) === '') { |
| 71 | return $this->generateFromGrounding($websiteUrl, 'persona_details', $user); |
| 72 | } |
| 73 | |
| 74 | $promptRecord = $this->loadPromptRecord('roleplay_auto_populate_persona_details'); |
| 75 | $prompt = str_replace( |
| 76 | ['{website_url}', '{website_content}'], |
| 77 | [$websiteUrl, $content], |
| 78 | (string) $promptRecord->context |
| 79 | ); |
| 80 | |
| 81 | $result = $this->callAi($prompt, $user, 'persona_auto_populate_persona_details', $promptRecord); |
| 82 | |
| 83 | return $this->sanitizePersonaDetails($result ?? []); |
| 84 | } |
| 85 | |
| 86 | /** |
| 87 | * Generate the Product Details section from a website URL. |
| 88 | * |
| 89 | * @param string $websiteUrl The company/product URL |
| 90 | * @param mixed $user The authenticated user |
| 91 | * @return array{description?: string, key_features?: array<int, string>} |
| 92 | */ |
| 93 | public function generateProductDetails(string $websiteUrl, mixed $user = null): array |
| 94 | { |
| 95 | // Attempt deep research lookup/creation |
| 96 | $research = $this->companyResearch->getOrCreateForUrl($websiteUrl, $user); |
| 97 | |
| 98 | if ($research->status === 'completed' && trim($research->research ?? '') !== '') { |
| 99 | $content = $research->research; |
| 100 | if (trim($research->scraped_content ?? '') !== '') { |
| 101 | $content .= "\n\n--- Supplementary Website Content ---\n".$research->scraped_content; |
| 102 | } |
| 103 | } else { |
| 104 | $content = $this->scraper->scrapeCached($websiteUrl); |
| 105 | } |
| 106 | |
| 107 | if (trim($content) === '') { |
| 108 | $grounded = $this->generateFromGrounding($websiteUrl, 'product_details', $user); |
| 109 | |
| 110 | return [ |
| 111 | 'description' => $grounded['description'] ?? '', |
| 112 | 'key_features' => $grounded['key_features'] ?? [], |
| 113 | ]; |
| 114 | } |
| 115 | |
| 116 | $promptRecord = $this->loadPromptRecord('roleplay_auto_populate_product_details'); |
| 117 | $prompt = str_replace( |
| 118 | ['{website_url}', '{website_content}'], |
| 119 | [$websiteUrl, $content], |
| 120 | (string) $promptRecord->context |
| 121 | ); |
| 122 | |
| 123 | $result = $this->callAi($prompt, $user, 'persona_auto_populate_product_details', $promptRecord); |
| 124 | |
| 125 | return [ |
| 126 | 'description' => is_string($result['description'] ?? null) ? $result['description'] : '', |
| 127 | 'key_features' => $this->stringArray($result['key_features'] ?? []), |
| 128 | ]; |
| 129 | } |
| 130 | |
| 131 | /** |
| 132 | * Generate a fresh ICP set respecting persona company sizes, difficulty, |
| 133 | * call type, target industries and product context. |
| 134 | * |
| 135 | * @param array{ |
| 136 | * type: string, |
| 137 | * difficulty_level: int|string, |
| 138 | * industry: array<int, string>, |
| 139 | * product_description: string, |
| 140 | * key_features?: array<int, string>, |
| 141 | * company_sizes: array<int, string> |
| 142 | * } $persona |
| 143 | * @return array<int, array<string, mixed>> Array of ICP objects |
| 144 | */ |
| 145 | public function generateIcps(array $persona, mixed $user = null): array |
| 146 | { |
| 147 | $promptRecord = $this->loadPromptRecord('roleplay_auto_populate_icps'); |
| 148 | |
| 149 | $personalities = $this->loadPersonalities(); |
| 150 | $personalitiesStr = $this->formatPersonalitiesForPrompt($personalities); |
| 151 | |
| 152 | $featuresFormatted = $this->formatBulletList($persona['key_features'] ?? []); |
| 153 | $industries = implode(', ', $persona['industry']); |
| 154 | $companySizes = implode(', ', $this->normalizeCompanySizes($persona['company_sizes'])); |
| 155 | |
| 156 | $prompt = str_replace( |
| 157 | ['{type}', '{productDescription}', '{key_features}', '{targetIndustry}', |
| 158 | '{difficulty_level}', '{company_sizes}', '{min_profiles}', '{personalities}'], |
| 159 | [ |
| 160 | (string) $persona['type'], |
| 161 | (string) $persona['product_description'], |
| 162 | $featuresFormatted, |
| 163 | $industries, |
| 164 | (string) $persona['difficulty_level'], |
| 165 | $companySizes, |
| 166 | (string) max(count($personalities), 3), |
| 167 | $personalitiesStr, |
| 168 | ], |
| 169 | (string) $promptRecord->context |
| 170 | ); |
| 171 | |
| 172 | $result = $this->callAi($prompt, $user, 'persona_generate_icps', $promptRecord); |
| 173 | |
| 174 | if (! is_array($result)) { |
| 175 | return []; |
| 176 | } |
| 177 | |
| 178 | $icps = $this->assignPersonalityAndAvatar($result, $personalities, $industries); |
| 179 | $icps = $this->backfillIcpCompanySizes($icps, $this->normalizeCompanySizes($persona['company_sizes'])); |
| 180 | |
| 181 | $this->logIncompleteIcps($icps, 'persona_generate_icps', $promptRecord, $user); |
| 182 | |
| 183 | return $icps; |
| 184 | } |
| 185 | |
| 186 | /** |
| 187 | * Regenerate a single ICP, preserving identity fields. |
| 188 | * |
| 189 | * @param array{ |
| 190 | * id?: int, |
| 191 | * name: string, |
| 192 | * gender: string, |
| 193 | * image?: string, |
| 194 | * personality?: array<string, mixed>|string, |
| 195 | * company_name: string, |
| 196 | * company_size: string, |
| 197 | * industry: string, |
| 198 | * target_job_title: string, |
| 199 | * budget?: string |
| 200 | * } $preserve Identity fields to keep |
| 201 | * @param array{ |
| 202 | * type: string, |
| 203 | * difficulty_level: int|string, |
| 204 | * industry: array<int, string>, |
| 205 | * product_description: string, |
| 206 | * key_features?: array<int, string> |
| 207 | * } $persona Persona context |
| 208 | * @return array<string, mixed> The regenerated ICP (preserved + refreshed fields) |
| 209 | */ |
| 210 | public function regenerateIcp(array $preserve, array $persona, mixed $user = null): array |
| 211 | { |
| 212 | $promptRecord = $this->loadPromptRecord('roleplay_regenerate_icp'); |
| 213 | |
| 214 | $featuresFormatted = $this->formatBulletList($persona['key_features'] ?? []); |
| 215 | $industries = implode(', ', $persona['industry']); |
| 216 | |
| 217 | $prompt = str_replace( |
| 218 | ['{type}', '{productDescription}', '{key_features}', '{targetIndustry}', |
| 219 | '{company_name}', '{company_size}', '{difficulty_level}', |
| 220 | '{name}', '{gender}', '{industry}', '{target_job_title}', '{budget}'], |
| 221 | [ |
| 222 | (string) $persona['type'], |
| 223 | (string) $persona['product_description'], |
| 224 | $featuresFormatted, |
| 225 | $industries, |
| 226 | (string) $preserve['company_name'], |
| 227 | RolePlayProjects::companySizeKey($preserve['company_size']), |
| 228 | (string) $persona['difficulty_level'], |
| 229 | (string) $preserve['name'], |
| 230 | (string) $preserve['gender'], |
| 231 | (string) $preserve['industry'], |
| 232 | (string) $preserve['target_job_title'], |
| 233 | (string) ($preserve['budget'] ?? ''), |
| 234 | ], |
| 235 | (string) $promptRecord->context |
| 236 | ); |
| 237 | |
| 238 | $result = $this->callAi($prompt, $user, 'persona_regenerate_icp', $promptRecord); |
| 239 | |
| 240 | if (! is_array($result)) { |
| 241 | return $preserve; |
| 242 | } |
| 243 | |
| 244 | // The prompt returns a single-element array; unwrap. |
| 245 | $first = $result[0] ?? $result; |
| 246 | |
| 247 | // Force preserved fields back in case the model drifted. |
| 248 | $first['id'] = $preserve['id'] ?? $first['id'] ?? null; |
| 249 | $first['name'] = $preserve['name']; |
| 250 | $first['gender'] = $preserve['gender']; |
| 251 | $first['image'] = $preserve['image'] ?? $first['image'] ?? ''; |
| 252 | $first['personality'] = $preserve['personality'] ?? $first['personality'] ?? ''; |
| 253 | $first['company_name'] = $preserve['company_name']; |
| 254 | $first['company_size'] = $preserve['company_size']; |
| 255 | $first['industry'] = $preserve['industry']; |
| 256 | $first['target_job_title'] = $preserve['target_job_title']; |
| 257 | |
| 258 | return $first; |
| 259 | } |
| 260 | |
| 261 | /** |
| 262 | * Compute a stable signature of the persona+product fields that influence |
| 263 | * ICP generation. Stored on the persona record so the frontend can detect |
| 264 | * stale ICPs after the user edits Persona/Product details. |
| 265 | * |
| 266 | * @param array{ |
| 267 | * type?: string, |
| 268 | * difficulty_level?: int|string, |
| 269 | * industry?: array<int, string>, |
| 270 | * company_sizes?: array<int, string>, |
| 271 | * description?: string, |
| 272 | * key_features?: array<int, string> |
| 273 | * } $persona |
| 274 | */ |
| 275 | public function computeIcpInputsSignature(array $persona): string |
| 276 | { |
| 277 | $payload = [ |
| 278 | 'type' => (string) ($persona['type'] ?? ''), |
| 279 | 'difficulty_level' => (string) ($persona['difficulty_level'] ?? ''), |
| 280 | 'industry' => $this->stringArray($persona['industry'] ?? []), |
| 281 | 'company_sizes' => $this->normalizeCompanySizes($persona['company_sizes'] ?? []), |
| 282 | 'description' => (string) ($persona['description'] ?? ''), |
| 283 | 'key_features' => $this->stringArray($persona['key_features'] ?? []), |
| 284 | ]; |
| 285 | |
| 286 | sort($payload['industry']); |
| 287 | sort($payload['company_sizes']); |
| 288 | sort($payload['key_features']); |
| 289 | |
| 290 | return sha1(json_encode($payload, JSON_UNESCAPED_UNICODE)); |
| 291 | } |
| 292 | |
| 293 | // ─── private helpers ────────────────────────────────────────────── |
| 294 | |
| 295 | /** |
| 296 | * Fallbacks used only when a field is missing on the ai_prompts record. |
| 297 | * Kept conservative so a mis-seeded prompt still generates usable output, |
| 298 | * but the record's own value always wins when present. |
| 299 | */ |
| 300 | private const CONFIG_FALLBACKS = [ |
| 301 | 'model' => 'gemini-3.1-flash-lite-preview', |
| 302 | 'provider' => 'vertex', |
| 303 | 'max_tokens' => 6000, |
| 304 | 'temperature' => 0.85, |
| 305 | 'top_p' => 0.95, |
| 306 | 'thinking_budget' => 0, |
| 307 | ]; |
| 308 | |
| 309 | /** |
| 310 | * Load the full ai_prompts record by product key, throwing on missing/empty. |
| 311 | * |
| 312 | * Callers receive the record (not just the context string) so the bridge |
| 313 | * call can honor the record's model/temperature/top_p/tokens/is_grounding. |
| 314 | */ |
| 315 | private function loadPromptRecord(string $product): AIPrompts |
| 316 | { |
| 317 | $record = AIPrompts::where('product', $product) |
| 318 | ->where('status', 'active') |
| 319 | ->first(); |
| 320 | |
| 321 | if (! $record || empty($record->context)) { |
| 322 | throw new \RuntimeException("AI prompt '{$product}' is not configured."); |
| 323 | } |
| 324 | |
| 325 | return $record; |
| 326 | } |
| 327 | |
| 328 | /** |
| 329 | * Call the LLM bridge using the config from the ai_prompts record |
| 330 | * (model / temperature / top_p / tokens / is_grounding), and parse the |
| 331 | * JSON response. Hardcoded defaults are only used when the field is |
| 332 | * missing from the record. |
| 333 | * |
| 334 | * @return array<mixed>|null Parsed JSON, or null on parse failure |
| 335 | */ |
| 336 | private function callAi(string $prompt, mixed $user, string $feature, AIPrompts $promptRecord): ?array |
| 337 | { |
| 338 | $config = $this->resolveConfig($promptRecord); |
| 339 | |
| 340 | $text = $this->bridge->generate( |
| 341 | [ |
| 342 | 'provider' => self::CONFIG_FALLBACKS['provider'], |
| 343 | 'model' => $config['model'], |
| 344 | 'prompt' => $prompt, |
| 345 | 'config' => [ |
| 346 | 'maxOutputTokens' => $config['maxOutputTokens'], |
| 347 | 'temperature' => $config['temperature'], |
| 348 | 'topP' => $config['topP'], |
| 349 | 'thinkingBudget' => $config['thinkingBudget'], |
| 350 | 'enableGoogleSearch' => $config['enableGoogleSearch'], |
| 351 | ], |
| 352 | ], |
| 353 | [ |
| 354 | 'feature' => $feature, |
| 355 | 'user_id' => $user?->id, |
| 356 | 'company_id' => $user?->company_id ?? null, |
| 357 | 'prompt_id' => (string) $promptRecord->_id, |
| 358 | ] |
| 359 | ); |
| 360 | |
| 361 | $cleaned = trim(str_replace(['```json', '```'], '', (string) $text)); |
| 362 | $decoded = json_decode($cleaned, true); |
| 363 | |
| 364 | return is_array($decoded) ? $decoded : null; |
| 365 | } |
| 366 | |
| 367 | /** |
| 368 | * Read the model/temperature/topP/tokens/grounding config from an |
| 369 | * ai_prompts record, applying conservative fallbacks only when a field |
| 370 | * is missing. Kept in one place so every caller stays honest — if an |
| 371 | * operator tunes the prompt in the DB, the tuning reaches the bridge. |
| 372 | * |
| 373 | * @return array{model: string, maxOutputTokens: int, temperature: float, topP: float, thinkingBudget: int, enableGoogleSearch: bool} |
| 374 | */ |
| 375 | private function resolveConfig(AIPrompts $promptRecord): array |
| 376 | { |
| 377 | $model = $promptRecord->model !== null && $promptRecord->model !== '' |
| 378 | ? str_replace(':streamGenerateContent', '', (string) $promptRecord->model) |
| 379 | : self::CONFIG_FALLBACKS['model']; |
| 380 | |
| 381 | return [ |
| 382 | 'model' => $model, |
| 383 | 'maxOutputTokens' => $promptRecord->tokens !== null |
| 384 | ? (int) $promptRecord->tokens |
| 385 | : self::CONFIG_FALLBACKS['max_tokens'], |
| 386 | 'temperature' => $promptRecord->temperature !== null |
| 387 | ? (float) $promptRecord->temperature |
| 388 | : self::CONFIG_FALLBACKS['temperature'], |
| 389 | 'topP' => $promptRecord->top_p !== null |
| 390 | ? (float) $promptRecord->top_p |
| 391 | : self::CONFIG_FALLBACKS['top_p'], |
| 392 | 'thinkingBudget' => self::CONFIG_FALLBACKS['thinking_budget'], |
| 393 | 'enableGoogleSearch' => (bool) ($promptRecord->is_grounding ?? false), |
| 394 | ]; |
| 395 | } |
| 396 | |
| 397 | /** |
| 398 | * Grounding fallback for either persona-details or product-details. |
| 399 | * |
| 400 | * @param string $section persona_details|product_details|both |
| 401 | * @return array<string, mixed> |
| 402 | */ |
| 403 | private function generateFromGrounding(string $websiteUrl, string $section, mixed $user): array |
| 404 | { |
| 405 | $promptRecord = $this->loadPromptRecord('roleplay_auto_populate_grounding'); |
| 406 | $prompt = str_replace( |
| 407 | ['{website_url}', '{section}'], |
| 408 | [$websiteUrl, $section], |
| 409 | (string) $promptRecord->context |
| 410 | ); |
| 411 | |
| 412 | $result = $this->callAi($prompt, $user, 'persona_auto_populate_grounding', $promptRecord); |
| 413 | |
| 414 | if (! is_array($result)) { |
| 415 | return []; |
| 416 | } |
| 417 | |
| 418 | if ($section === 'persona_details') { |
| 419 | return $this->sanitizePersonaDetails($result['persona_details'] ?? []); |
| 420 | } |
| 421 | |
| 422 | if ($section === 'product_details') { |
| 423 | $pd = $result['product_details'] ?? []; |
| 424 | |
| 425 | return [ |
| 426 | 'description' => is_string($pd['description'] ?? null) ? $pd['description'] : '', |
| 427 | 'key_features' => $this->stringArray($pd['key_features'] ?? []), |
| 428 | ]; |
| 429 | } |
| 430 | |
| 431 | return $result; |
| 432 | } |
| 433 | |
| 434 | /** |
| 435 | * Validate / coerce a persona-details payload from the AI. |
| 436 | * |
| 437 | * @param array<string, mixed> $raw |
| 438 | * @return array<string, mixed> |
| 439 | */ |
| 440 | private function sanitizePersonaDetails(array $raw): array |
| 441 | { |
| 442 | $companySizes = $this->normalizeCompanySizes($raw['company_sizes'] ?? []); |
| 443 | if (empty($companySizes)) { |
| 444 | $companySizes = RolePlayProjects::COMPANY_SIZE_KEYS; |
| 445 | } |
| 446 | |
| 447 | return [ |
| 448 | 'name' => (string) ($raw['name'] ?? ''), |
| 449 | 'description' => (string) ($raw['description'] ?? ''), |
| 450 | 'industry' => $this->stringArray($raw['industry'] ?? []), |
| 451 | 'target_job_titles' => $this->stringArray($raw['target_job_titles'] ?? []), |
| 452 | 'company_sizes' => $companySizes, |
| 453 | ]; |
| 454 | } |
| 455 | |
| 456 | /** |
| 457 | * Coerce an arbitrary value to a list of trimmed strings. |
| 458 | * |
| 459 | * @return array<int, string> |
| 460 | */ |
| 461 | private function stringArray(mixed $value): array |
| 462 | { |
| 463 | if (! is_array($value)) { |
| 464 | return []; |
| 465 | } |
| 466 | |
| 467 | $out = []; |
| 468 | foreach ($value as $v) { |
| 469 | if (is_string($v) || is_numeric($v)) { |
| 470 | $trimmed = trim((string) $v); |
| 471 | if ($trimmed !== '') { |
| 472 | $out[] = $trimmed; |
| 473 | } |
| 474 | } |
| 475 | } |
| 476 | |
| 477 | return $out; |
| 478 | } |
| 479 | |
| 480 | /** |
| 481 | * Filter and lowercase company-size keys against the canonical set. |
| 482 | * |
| 483 | * @return array<int, string> |
| 484 | */ |
| 485 | private function normalizeCompanySizes(mixed $value): array |
| 486 | { |
| 487 | if (! is_array($value)) { |
| 488 | return []; |
| 489 | } |
| 490 | |
| 491 | $allowed = RolePlayProjects::COMPANY_SIZE_KEYS; |
| 492 | $out = []; |
| 493 | foreach ($value as $v) { |
| 494 | $key = strtolower(trim((string) $v)); |
| 495 | if (in_array($key, $allowed, true) && ! in_array($key, $out, true)) { |
| 496 | $out[] = $key; |
| 497 | } |
| 498 | } |
| 499 | |
| 500 | return $out; |
| 501 | } |
| 502 | |
| 503 | /** |
| 504 | * Format an array of features as a Markdown bullet list for prompt insertion. |
| 505 | * |
| 506 | * @param array<int, string> $features |
| 507 | */ |
| 508 | private function formatBulletList(array $features): string |
| 509 | { |
| 510 | $lines = array_map(fn ($f) => '- '.trim((string) $f), $features); |
| 511 | |
| 512 | return implode("\n", $lines); |
| 513 | } |
| 514 | |
| 515 | /** |
| 516 | * Load the global personalities config (with fallback to legacy parameter). |
| 517 | * |
| 518 | * @return array<int, array<string, mixed>> |
| 519 | */ |
| 520 | private function loadPersonalities(): array |
| 521 | { |
| 522 | $config = RolePlayConfig::getGlobal(); |
| 523 | if ($config && ! empty($config->personalities)) { |
| 524 | return $config->personalities; |
| 525 | } |
| 526 | |
| 527 | return Parameter::where('name', 'role_play_personalities')->first()?->value ?? []; |
| 528 | } |
| 529 | |
| 530 | /** |
| 531 | * Build the formatted personalities block for the prompt. |
| 532 | * |
| 533 | * @param array<int, array<string, mixed>> $personalities |
| 534 | */ |
| 535 | private function formatPersonalitiesForPrompt(array $personalities): string |
| 536 | { |
| 537 | $lines = []; |
| 538 | foreach ($personalities as $i => $p) { |
| 539 | $num = $i + 1; |
| 540 | $type = $p['type'] ?? ''; |
| 541 | $name = $p['name'] ?? ''; |
| 542 | $description = $p['description'] ?? ''; |
| 543 | $traits = implode(', ', $p['traits'] ?? []); |
| 544 | $lines[] = "{$num}. **{$type} – {$name}** (Traits: {$traits})\n {$description}"; |
| 545 | } |
| 546 | |
| 547 | return implode("\n\n", $lines); |
| 548 | } |
| 549 | |
| 550 | /** |
| 551 | * Required ICP fields the persona validator (RolePlayProjects::getRules) |
| 552 | * expects. Used by {@see logIncompleteIcps} so missing/renamed fields are |
| 553 | * visible in logs (and can be surfaced to support via daily digest). |
| 554 | */ |
| 555 | private const ICP_REQUIRED_FIELDS = [ |
| 556 | 'company_name', |
| 557 | 'company_size', |
| 558 | 'budget', |
| 559 | 'decision_making', |
| 560 | 'urgency_level', |
| 561 | 'openess_to_new_solutions', |
| 562 | 'communication_style', |
| 563 | 'pain_points', |
| 564 | 'current_solution', |
| 565 | 'target_job_title', |
| 566 | ]; |
| 567 | |
| 568 | /** |
| 569 | * Warn (don't fail) when the AI returned ICPs that will not pass the |
| 570 | * persona-save validator. Never throws — the user can still edit/retry, |
| 571 | * and ops gets a structured signal to audit prompt drift. |
| 572 | * |
| 573 | * @param array<int, array<string, mixed>> $icps |
| 574 | */ |
| 575 | private function logIncompleteIcps( |
| 576 | array $icps, |
| 577 | string $product, |
| 578 | AIPrompts $promptRecord, |
| 579 | mixed $user = null, |
| 580 | ): void { |
| 581 | $problems = []; |
| 582 | |
| 583 | foreach ($icps as $i => $icp) { |
| 584 | $missing = []; |
| 585 | foreach (self::ICP_REQUIRED_FIELDS as $field) { |
| 586 | $value = $icp[$field] ?? null; |
| 587 | if ($value === null || $value === '' || (is_array($value) && empty($value))) { |
| 588 | $missing[] = $field; |
| 589 | } |
| 590 | } |
| 591 | |
| 592 | if (! empty($missing)) { |
| 593 | $problems[] = [ |
| 594 | 'index' => $i, |
| 595 | 'personality_type' => is_array($icp['personality'] ?? null) |
| 596 | ? ($icp['personality']['type'] ?? null) |
| 597 | : null, |
| 598 | 'missing_fields' => $missing, |
| 599 | 'unexpected_keys' => array_values(array_diff( |
| 600 | array_keys($icp), |
| 601 | array_merge(self::ICP_REQUIRED_FIELDS, [ |
| 602 | 'id', 'name', 'gender', 'image', 'voice', 'personality', 'industry', |
| 603 | ]) |
| 604 | )), |
| 605 | ]; |
| 606 | } |
| 607 | } |
| 608 | |
| 609 | if (empty($problems)) { |
| 610 | return; |
| 611 | } |
| 612 | |
| 613 | Log::warning('role_play.icp_generation.incomplete_output', [ |
| 614 | 'product' => $product, |
| 615 | 'prompt_id' => (string) ($promptRecord->_id ?? ''), |
| 616 | 'model' => (string) ($promptRecord->model ?? ''), |
| 617 | 'user_id' => is_object($user) ? ($user->id ?? null) : null, |
| 618 | 'total_icps' => count($icps), |
| 619 | 'incomplete_count' => count($problems), |
| 620 | 'problems' => $problems, |
| 621 | ]); |
| 622 | } |
| 623 | |
| 624 | /** |
| 625 | * Force every generated ICP to carry a company_size that belongs to |
| 626 | * the persona's allowed set. Distributes round-robin if the AI drifted. |
| 627 | * |
| 628 | * @param array<int, array<string, mixed>> $icps |
| 629 | * @param array<int, string> $allowedSizes |
| 630 | * @return array<int, array<string, mixed>> |
| 631 | */ |
| 632 | private function backfillIcpCompanySizes(array $icps, array $allowedSizes): array |
| 633 | { |
| 634 | if (empty($allowedSizes)) { |
| 635 | return $icps; |
| 636 | } |
| 637 | |
| 638 | foreach ($icps as $i => $icp) { |
| 639 | $current = RolePlayProjects::companySizeKey($icp['company_size'] ?? ''); |
| 640 | if (in_array($current, $allowedSizes, true)) { |
| 641 | $icps[$i]['company_size'] = RolePlayProjects::companySizeLabel($current); |
| 642 | |
| 643 | continue; |
| 644 | } |
| 645 | |
| 646 | $fallback = $allowedSizes[$i % count($allowedSizes)]; |
| 647 | $icps[$i]['company_size'] = RolePlayProjects::companySizeLabel($fallback); |
| 648 | } |
| 649 | |
| 650 | return $icps; |
| 651 | } |
| 652 | |
| 653 | /** |
| 654 | * Hydrate AI-generated ICPs with personality, gender, name, image, and voice. |
| 655 | * |
| 656 | * Mirrors the legacy controller helper so the new flow produces ICPs that |
| 657 | * are drop-in compatible with the existing FE form fields. |
| 658 | * |
| 659 | * @param array<mixed> $icps Raw AI response (array or {icps: [...]} wrapper) |
| 660 | * @param array<int, array<string, mixed>> $personalities |
| 661 | * @return array<int, array<string, mixed>> |
| 662 | */ |
| 663 | private function assignPersonalityAndAvatar(array $icps, array $personalities, string $industry): array |
| 664 | { |
| 665 | // Unwrap if the AI returned {icps: [...]} for some reason |
| 666 | $hasWrapper = isset($icps['icps']) && is_array($icps['icps']); |
| 667 | $actual = $hasWrapper ? $icps['icps'] : $icps; |
| 668 | |
| 669 | $config = RolePlayConfig::getGlobal(); |
| 670 | |
| 671 | $maleNames = ! empty($config?->names['male']) ? $config->names['male'] |
| 672 | : (Parameter::where('name', 'role_play_male_names')->first()?->value ?? []); |
| 673 | $femaleNames = ! empty($config?->names['female']) ? $config->names['female'] |
| 674 | : (Parameter::where('name', 'role_play_female_names')->first()?->value ?? []); |
| 675 | |
| 676 | $maleImages = ! empty($config?->images['male']) ? $config->images['male'] |
| 677 | : (Parameter::where('name', 'role_play_male_images')->first()?->value ?? []); |
| 678 | $femaleImages = ! empty($config?->images['female']) ? $config->images['female'] |
| 679 | : (Parameter::where('name', 'role_play_female_images')->first()?->value ?? []); |
| 680 | |
| 681 | $maleVoicesParam = Parameter::where('name', 'role_play_male_voices')->first()?->value ?? []; |
| 682 | $maleVoices = ! empty($maleVoicesParam) ? $maleVoicesParam : ($config?->voices['male'] ?? []); |
| 683 | |
| 684 | $femaleVoicesParam = Parameter::where('name', 'role_play_female_voices')->first()?->value ?? []; |
| 685 | $femaleVoices = ! empty($femaleVoicesParam) ? $femaleVoicesParam : ($config?->voices['female'] ?? []); |
| 686 | |
| 687 | $personalityMap = []; |
| 688 | foreach ($personalities as $p) { |
| 689 | $personalityMap[strtoupper($p['type'] ?? '')] = $p; |
| 690 | } |
| 691 | |
| 692 | if (! empty($maleImages)) { |
| 693 | shuffle($maleImages); |
| 694 | } |
| 695 | if (! empty($femaleImages)) { |
| 696 | shuffle($femaleImages); |
| 697 | } |
| 698 | |
| 699 | $maleIndex = 0; |
| 700 | $femaleIndex = 0; |
| 701 | |
| 702 | foreach ($actual as $i => $icp) { |
| 703 | $row = is_array($icp) ? $icp : (array) $icp; |
| 704 | |
| 705 | // Personality |
| 706 | $aiType = strtoupper((string) ($row['personality_type'] ?? '')); |
| 707 | if (isset($personalityMap[$aiType])) { |
| 708 | $row['personality'] = $personalityMap[$aiType]; |
| 709 | } elseif (! is_array($row['personality'] ?? null) && ! empty($personalities)) { |
| 710 | $row['personality'] = $personalities[$i % count($personalities)]; |
| 711 | } |
| 712 | unset($row['personality_type']); |
| 713 | |
| 714 | // Gender |
| 715 | $aiGender = strtolower((string) ($row['gender'] ?? '')); |
| 716 | $row['gender'] = in_array($aiGender, ['male', 'female'], true) |
| 717 | ? $aiGender |
| 718 | : (($i % 2 === 0) ? 'male' : 'female'); |
| 719 | |
| 720 | // Name + image + voice |
| 721 | if ($row['gender'] === 'male') { |
| 722 | if (empty($row['name']) && ! empty($maleNames)) { |
| 723 | $row['name'] = $maleNames[$maleIndex % count($maleNames)] ?? 'John'; |
| 724 | } |
| 725 | $row['image'] = ! empty($maleImages) ? $maleImages[$maleIndex % count($maleImages)] : ''; |
| 726 | $row['voice'] = ! empty($maleVoices) ? $maleVoices[array_rand($maleVoices)] : ''; |
| 727 | $maleIndex++; |
| 728 | } else { |
| 729 | if (empty($row['name']) && ! empty($femaleNames)) { |
| 730 | $row['name'] = $femaleNames[$femaleIndex % count($femaleNames)] ?? 'Emma'; |
| 731 | } |
| 732 | $row['image'] = ! empty($femaleImages) ? $femaleImages[$femaleIndex % count($femaleImages)] : ''; |
| 733 | $row['voice'] = ! empty($femaleVoices) ? $femaleVoices[array_rand($femaleVoices)] : ''; |
| 734 | $femaleIndex++; |
| 735 | } |
| 736 | |
| 737 | // Legacy field mapping + AI typo tolerance. |
| 738 | // Gemini occasionally drifts the key name (e.g. `decision_meaning`); |
| 739 | // catch the common variants before validation sees the payload. |
| 740 | if (empty($row['decision_making'])) { |
| 741 | foreach (['decision_maker', 'decision_meaning', 'decisionmaking', 'decisionMaking'] as $alias) { |
| 742 | if (! empty($row[$alias])) { |
| 743 | $row['decision_making'] = $row[$alias]; |
| 744 | unset($row[$alias]); |
| 745 | break; |
| 746 | } |
| 747 | } |
| 748 | } |
| 749 | if (empty($row['target_job_title']) && ! empty($row['job_title'])) { |
| 750 | $row['target_job_title'] = $row['job_title']; |
| 751 | unset($row['job_title']); |
| 752 | } |
| 753 | if (empty($row['target_job_title'])) { |
| 754 | $row['target_job_title'] = 'Decision Maker'; |
| 755 | } |
| 756 | if (empty($row['industry']) && $industry !== '') { |
| 757 | $row['industry'] = $industry; |
| 758 | } |
| 759 | if (empty($row['id'])) { |
| 760 | $row['id'] = $i + 1; |
| 761 | } |
| 762 | |
| 763 | $actual[$i] = $row; |
| 764 | } |
| 765 | |
| 766 | return array_values($actual); |
| 767 | } |
| 768 | } |