| 1 |
<?php |
| 2 |
/** |
| 3 |
* OpenAI API Client |
| 4 |
* |
| 5 |
* Handles communication with OpenAI API |
| 6 |
* |
| 7 |
* @package ThinkRank\AI |
| 8 |
* @since 1.0.0 |
| 9 |
*/ |
| 10 |
|
| 11 |
declare(strict_types=1); |
| 12 |
|
| 13 |
namespace ThinkRank\AI; |
| 14 |
|
| 15 |
// Prevent direct access |
| 16 |
if (!defined('ABSPATH')) { |
| 17 |
exit; |
| 18 |
} |
| 19 |
|
| 20 |
/** |
| 21 |
* OpenAI Client Class |
| 22 |
* |
| 23 |
* Single Responsibility: Handle OpenAI API communication |
| 24 |
* |
| 25 |
* @since 1.0.0 |
| 26 |
*/ |
| 27 |
class OpenAI_Client { |
| 28 |
|
| 29 |
/** |
| 30 |
* OpenAI API base URL |
| 31 |
*/ |
| 32 |
private const API_BASE_URL = 'https://api.openai.com/v1'; |
| 33 |
|
| 34 |
/** |
| 35 |
* API key |
| 36 |
* |
| 37 |
* @var string |
| 38 |
*/ |
| 39 |
private string $api_key; |
| 40 |
|
| 41 |
/** |
| 42 |
* Default model |
| 43 |
* |
| 44 |
* @var string |
| 45 |
*/ |
| 46 |
private string $model; |
| 47 |
|
| 48 |
/** |
| 49 |
* Request timeout in seconds |
| 50 |
* |
| 51 |
* @var int |
| 52 |
*/ |
| 53 |
private int $timeout; |
| 54 |
|
| 55 |
/** |
| 56 |
* Prompt Builder instance |
| 57 |
* |
| 58 |
* @since 1.0.0 |
| 59 |
* @var Prompt_Builder|null |
| 60 |
*/ |
| 61 |
private ?Prompt_Builder $prompt_builder = null; |
| 62 |
|
| 63 |
/** |
| 64 |
* Constructor |
| 65 |
* |
| 66 |
* @param string $api_key OpenAI API key |
| 67 |
* @param string $model Default model to use |
| 68 |
* @param int $timeout Request timeout |
| 69 |
*/ |
| 70 |
public function __construct(string $api_key, string $model = 'gpt-5-nano', int $timeout = 30) { |
| 71 |
$this->api_key = $api_key; |
| 72 |
$this->model = $model; |
| 73 |
$this->timeout = $timeout; |
| 74 |
} |
| 75 |
|
| 76 |
/** |
| 77 |
* Get Prompt Builder instance |
| 78 |
* |
| 79 |
* @since 1.0.0 |
| 80 |
* |
| 81 |
* @return Prompt_Builder Prompt Builder instance |
| 82 |
*/ |
| 83 |
private function get_prompt_builder(): Prompt_Builder { |
| 84 |
if (!$this->prompt_builder) { |
| 85 |
// Ensure Prompt Builder is loaded |
| 86 |
if (!class_exists('ThinkRank\\AI\\Prompt_Builder')) { |
| 87 |
require_once THINKRANK_PLUGIN_DIR . 'includes/ai/class-prompt-builder.php'; |
| 88 |
} |
| 89 |
$this->prompt_builder = new Prompt_Builder(); |
| 90 |
} |
| 91 |
return $this->prompt_builder; |
| 92 |
} |
| 93 |
|
| 94 |
/** |
| 95 |
* Generate completion using OpenAI |
| 96 |
* |
| 97 |
* @param string $prompt The prompt to send |
| 98 |
* @param array $options Additional options |
| 99 |
* @return array Response data |
| 100 |
* @throws \Exception If API request fails |
| 101 |
*/ |
| 102 |
public function generate_completion(string $prompt, array $options = []): array { |
| 103 |
$default_options = [ |
| 104 |
'model' => $this->model, |
| 105 |
'max_tokens' => 1000, |
| 106 |
'temperature' => 0.7, |
| 107 |
'top_p' => 1, |
| 108 |
'frequency_penalty' => 0, |
| 109 |
'presence_penalty' => 0, |
| 110 |
]; |
| 111 |
|
| 112 |
$options = array_merge($default_options, $options); |
| 113 |
|
| 114 |
$body = [ |
| 115 |
'model' => $options['model'], |
| 116 |
'messages' => [ |
| 117 |
[ |
| 118 |
'role' => 'user', |
| 119 |
'content' => $prompt, |
| 120 |
] |
| 121 |
], |
| 122 |
]; |
| 123 |
|
| 124 |
// Get safe token limit for this model |
| 125 |
$safe_tokens = $this->get_safe_token_limit($options['model'], $options['max_tokens']); |
| 126 |
|
| 127 |
// Add parameters based on model type |
| 128 |
if ($this->is_reasoning_model($options['model'])) { |
| 129 |
// Reasoning models (o1/o3) have fixed parameters and restricted support |
| 130 |
// temperature, top_p, frequency_penalty, presence_penalty are not supported |
| 131 |
$body['max_completion_tokens'] = $safe_tokens; |
| 132 |
} else { |
| 133 |
// Standard models support all parameters |
| 134 |
$body['temperature'] = $options['temperature']; |
| 135 |
$body['top_p'] = $options['top_p']; |
| 136 |
$body['frequency_penalty'] = $options['frequency_penalty']; |
| 137 |
$body['presence_penalty'] = $options['presence_penalty']; |
| 138 |
$body['max_tokens'] = $safe_tokens; |
| 139 |
} |
| 140 |
|
| 141 |
return $this->make_request('chat/completions', $body); |
| 142 |
} |
| 143 |
|
| 144 |
/** |
| 145 |
* Generate SEO metadata |
| 146 |
* |
| 147 |
* @param string $content Content to analyze |
| 148 |
* @param array $options Generation options |
| 149 |
* @return array Generated metadata |
| 150 |
* @throws \Exception If generation fails |
| 151 |
*/ |
| 152 |
public function generate_seo_metadata(string $content, array $options = []): array { |
| 153 |
$target_keyword = $options['target_keyword'] ?? ''; |
| 154 |
$content_type = $options['content_type'] ?? 'blog_post'; |
| 155 |
$tone = $options['tone'] ?? 'professional'; |
| 156 |
|
| 157 |
$prompt_builder = $this->get_prompt_builder(); |
| 158 |
$prompt = $prompt_builder->build_seo_prompt($content, $target_keyword, $content_type, $tone, 'openai'); |
| 159 |
|
| 160 |
$response = $this->generate_completion($prompt, [ |
| 161 |
'max_tokens' => $this->get_recommended_tokens('seo_metadata'), |
| 162 |
'temperature' => 0.3, // Lower temperature for more consistent SEO output |
| 163 |
]); |
| 164 |
|
| 165 |
return $this->parse_seo_response($response); |
| 166 |
} |
| 167 |
|
| 168 |
/** |
| 169 |
* Analyze content for SEO optimization |
| 170 |
* |
| 171 |
* @param string $content Content to analyze |
| 172 |
* @param array $metadata Existing metadata |
| 173 |
* @return array Analysis results |
| 174 |
* @throws \Exception If analysis fails |
| 175 |
*/ |
| 176 |
public function analyze_content(string $content, array $metadata = []): array { |
| 177 |
$prompt_builder = $this->get_prompt_builder(); |
| 178 |
$prompt = $prompt_builder->build_analysis_prompt($content, $metadata, 'openai'); |
| 179 |
|
| 180 |
$response = $this->generate_completion($prompt, [ |
| 181 |
'max_tokens' => $this->get_recommended_tokens('analysis'), |
| 182 |
'temperature' => 0.3, // Lower temperature for more consistent analysis |
| 183 |
]); |
| 184 |
|
| 185 |
return $this->parse_analysis_response($response); |
| 186 |
} |
| 187 |
private function is_reasoning_model(string $model): bool { |
| 188 |
// Models that require max_completion_tokens and restrict parameters (no temperature/top_p) |
| 189 |
// Includes OpenAI o1/o3 series and GPT-5 family |
| 190 |
$reasoning_models = [ |
| 191 |
'o1-preview', |
| 192 |
'o1-mini', |
| 193 |
'o3-mini', |
| 194 |
'o3-2024-12-17', |
| 195 |
'gpt-5', |
| 196 |
'gpt-5-mini', |
| 197 |
'gpt-5-nano', |
| 198 |
]; |
| 199 |
|
| 200 |
// Check for exact matches or model prefixes |
| 201 |
foreach ($reasoning_models as $reasoning_model) { |
| 202 |
if ($model === $reasoning_model || strpos($model, $reasoning_model) === 0) { |
| 203 |
return true; |
| 204 |
} |
| 205 |
} |
| 206 |
|
| 207 |
return false; |
| 208 |
} |
| 209 |
|
| 210 |
/** |
| 211 |
* Get maximum completion tokens for a model |
| 212 |
* |
| 213 |
* @param string $model Model name |
| 214 |
* @return int Maximum completion tokens |
| 215 |
*/ |
| 216 |
private function get_max_completion_tokens(string $model): int { |
| 217 |
// Model-specific token limits (completion tokens, not context) |
| 218 |
$token_limits = [ |
| 219 |
// GPT-5 series (optimized for reasoning + content tokens based on usage data) |
| 220 |
'gpt-5' => 20480, // 20K tokens for full GPT-5 |
| 221 |
'gpt-5-mini' => 15360, // 15K tokens for mini variant (increased) |
| 222 |
'gpt-5-nano' => 12288, // 12K tokens for nano (increased from 10K for better buffer) |
| 223 |
|
| 224 |
// GPT-4o series |
| 225 |
'gpt-4o' => 4096, |
| 226 |
'gpt-4o-2024-08-06' => 4096, |
| 227 |
'gpt-4o-2024-05-13' => 4096, |
| 228 |
'gpt-4o-mini' => 16384, |
| 229 |
'gpt-4o-mini-2024-07-18' => 16384, |
| 230 |
|
| 231 |
// o1/o3 reasoning models (higher limits) |
| 232 |
'o1-preview' => 32768, |
| 233 |
'o1-mini' => 65536, |
| 234 |
'o3-mini' => 65536, |
| 235 |
'o3-2024-12-17' => 65536, |
| 236 |
]; |
| 237 |
|
| 238 |
// Check for exact match first |
| 239 |
if (isset($token_limits[$model])) { |
| 240 |
return $token_limits[$model]; |
| 241 |
} |
| 242 |
|
| 243 |
// Check for partial matches (for versioned models) |
| 244 |
foreach ($token_limits as $known_model => $limit) { |
| 245 |
if (strpos($model, $known_model) === 0) { |
| 246 |
return $limit; |
| 247 |
} |
| 248 |
} |
| 249 |
|
| 250 |
// Default fallback for unknown models |
| 251 |
return 4096; |
| 252 |
} |
| 253 |
|
| 254 |
/** |
| 255 |
* Get safe token limit for a request |
| 256 |
* |
| 257 |
* @param string $model Model name |
| 258 |
* @param int $requested_tokens Requested token count |
| 259 |
* @return int Safe token count (capped at model limit) |
| 260 |
*/ |
| 261 |
public function get_safe_token_limit(string $model, int $requested_tokens): int { |
| 262 |
$max_tokens = $this->get_max_completion_tokens($model); |
| 263 |
return min($requested_tokens, $max_tokens); |
| 264 |
} |
| 265 |
|
| 266 |
/** |
| 267 |
* Get recommended token limit for specific use cases |
| 268 |
* |
| 269 |
* @param string $use_case Use case (e.g., 'content_brief', 'seo_metadata', 'analysis') |
| 270 |
* @return int Recommended token limit |
| 271 |
*/ |
| 272 |
public function get_recommended_tokens(string $use_case): int { |
| 273 |
$max_tokens = $this->get_max_completion_tokens($this->model); |
| 274 |
|
| 275 |
// For reasoning models (GPT-5, o1, o3), we need much higher token limits |
| 276 |
// because they use reasoning tokens + content tokens |
| 277 |
if ($this->is_reasoning_model($this->model)) { |
| 278 |
$reasoning_recommendations = [ |
| 279 |
'content_brief' => 0.95, // 95% of max tokens (reasoning + content) |
| 280 |
'seo_metadata' => 0.8, // 80% for reasoning models (safe buffer) |
| 281 |
'analysis' => 0.85, // 85% for reasoning models (safe buffer) |
| 282 |
'llms_txt' => 0.8, // 80% for reasoning models (safe buffer) |
| 283 |
'optimization' => 0.9, // 90% for reasoning models (based on 5.9K usage + 50% buffer) |
| 284 |
]; |
| 285 |
$percentage = $reasoning_recommendations[$use_case] ?? 0.3; |
| 286 |
} else { |
| 287 |
// Standard models - original percentages |
| 288 |
$standard_recommendations = [ |
| 289 |
'content_brief' => 0.9, // 90% of max tokens for comprehensive briefs |
| 290 |
'seo_metadata' => 0.15, // 15% of max tokens for metadata |
| 291 |
'analysis' => 0.25, // 25% of max tokens for analysis |
| 292 |
'llms_txt' => 0.5, // 50% of max tokens for llms.txt |
| 293 |
'optimization' => 0.15, // 15% of max tokens for optimization |
| 294 |
]; |
| 295 |
$percentage = $standard_recommendations[$use_case] ?? 0.15; |
| 296 |
} |
| 297 |
|
| 298 |
return (int) ($max_tokens * $percentage); |
| 299 |
} |
| 300 |
|
| 301 |
/** |
| 302 |
* Build request body for chat completions with model-specific parameters |
| 303 |
* |
| 304 |
* @param string $user_prompt User prompt |
| 305 |
* @param string|null $system_prompt System prompt (ignored for reasoning models) |
| 306 |
* @param int $max_tokens Maximum tokens |
| 307 |
* @param float $temperature Temperature (ignored for reasoning models) |
| 308 |
* @return array Request body |
| 309 |
*/ |
| 310 |
private function build_chat_request(string $user_prompt, ?string $system_prompt = null, int $max_tokens = 600, float $temperature = 0.4): array { |
| 311 |
$body = [ |
| 312 |
'model' => $this->model, |
| 313 |
]; |
| 314 |
|
| 315 |
// Get safe token limit for this model |
| 316 |
$safe_tokens = $this->get_safe_token_limit($this->model, $max_tokens); |
| 317 |
|
| 318 |
// Build messages based on model type |
| 319 |
if ($this->is_reasoning_model($this->model)) { |
| 320 |
// Reasoning/GPT‑5 family: use max_completion_tokens and omit temperature |
| 321 |
$content = $user_prompt; |
| 322 |
// Some GPT‑5 responses may expect array content parts; we'll send string |
| 323 |
$body['messages'] = [ |
| 324 |
[ |
| 325 |
'role' => 'user', |
| 326 |
'content' => $content |
| 327 |
] |
| 328 |
]; |
| 329 |
$body['max_completion_tokens'] = $safe_tokens; |
| 330 |
} else { |
| 331 |
// Standard models support system messages and temperature |
| 332 |
$messages = []; |
| 333 |
if ($system_prompt) { |
| 334 |
$messages[] = [ |
| 335 |
'role' => 'system', |
| 336 |
'content' => $system_prompt |
| 337 |
]; |
| 338 |
} |
| 339 |
$messages[] = [ |
| 340 |
'role' => 'user', |
| 341 |
'content' => $user_prompt |
| 342 |
]; |
| 343 |
|
| 344 |
$body['messages'] = $messages; |
| 345 |
$body['temperature'] = $temperature; |
| 346 |
$body['max_tokens'] = $safe_tokens; |
| 347 |
} |
| 348 |
|
| 349 |
return $body; |
| 350 |
} |
| 351 |
|
| 352 |
/** |
| 353 |
* Get current model |
| 354 |
* |
| 355 |
* @return string Current model name |
| 356 |
*/ |
| 357 |
public function get_model(): string { |
| 358 |
return $this->model; |
| 359 |
} |
| 360 |
|
| 361 |
/** |
| 362 |
* Test API connection |
| 363 |
* |
| 364 |
* @return bool True if connection successful |
| 365 |
*/ |
| 366 |
public function test_connection(): bool { |
| 367 |
try { |
| 368 |
$response = $this->make_request('models'); |
| 369 |
return isset($response['data']) && is_array($response['data']); |
| 370 |
} catch (\Exception $e) { |
| 371 |
return false; |
| 372 |
} |
| 373 |
} |
| 374 |
|
| 375 |
/** |
| 376 |
* Make API request to OpenAI |
| 377 |
* |
| 378 |
* @param string $endpoint API endpoint |
| 379 |
* @param array $body Request body |
| 380 |
* @return array Response data |
| 381 |
* @throws \Exception If request fails |
| 382 |
*/ |
| 383 |
private function make_request(string $endpoint, array $body = []): array { |
| 384 |
$url = self::API_BASE_URL . '/' . ltrim($endpoint, '/'); |
| 385 |
|
| 386 |
$args = [ |
| 387 |
'timeout' => $this->timeout, |
| 388 |
'headers' => [ |
| 389 |
'Authorization' => 'Bearer ' . $this->api_key, |
| 390 |
'Content-Type' => 'application/json', |
| 391 |
'User-Agent' => 'ThinkRank/' . THINKRANK_VERSION, |
| 392 |
], |
| 393 |
]; |
| 394 |
|
| 395 |
if (!empty($body)) { |
| 396 |
$args['method'] = 'POST'; |
| 397 |
$args['body'] = wp_json_encode($body); |
| 398 |
} |
| 399 |
|
| 400 |
$response = $this->request_with_retry($url, $args); |
| 401 |
|
| 402 |
if (is_wp_error($response)) { |
| 403 |
throw new \Exception('API request failed: ' . esc_html($response->get_error_message())); |
| 404 |
} |
| 405 |
|
| 406 |
$status_code = wp_remote_retrieve_response_code($response); |
| 407 |
$response_body = wp_remote_retrieve_body($response); |
| 408 |
|
| 409 |
if ($status_code >= 400) { |
| 410 |
$error_data = json_decode($response_body, true); |
| 411 |
$error_message = $error_data['error']['message'] ?? 'Unknown API error'; |
| 412 |
throw new \Exception(sprintf('OpenAI API error (%d): %s', (int) $status_code, esc_html($error_message))); |
| 413 |
} |
| 414 |
|
| 415 |
$data = json_decode($response_body, true); |
| 416 |
|
| 417 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 418 |
throw new \Exception('Invalid JSON response from OpenAI API'); |
| 419 |
} |
| 420 |
|
| 421 |
// A valid-but-scalar body (null/number/string from a proxy/gateway on a |
| 422 |
// 2xx) would violate this method's : array return type; reject it here so |
| 423 |
// it surfaces as a catchable \Exception, not an uncatchable TypeError. |
| 424 |
if (!is_array($data)) { |
| 425 |
throw new \Exception('Unexpected non-array response from OpenAI API'); |
| 426 |
} |
| 427 |
|
| 428 |
return $data; |
| 429 |
} |
| 430 |
|
| 431 |
/** |
| 432 |
* Perform an HTTP request, retrying transient failures (429 / 5xx / network) |
| 433 |
* per the plugin's retry settings, honoring a Retry-After header when given. |
| 434 |
* |
| 435 |
* @param string $url Request URL |
| 436 |
* @param array $args wp_remote_request arguments |
| 437 |
* @return array|\WP_Error Final response (or last error after retries) |
| 438 |
*/ |
| 439 |
private function request_with_retry(string $url, array $args) { |
| 440 |
$settings = \ThinkRank\Core\Settings::instance(); |
| 441 |
$retry_enabled = (bool) $settings->get('retry_failed_requests', true); |
| 442 |
$max_attempts = $retry_enabled ? max(1, (int) $settings->get('retry_attempts', 3)) : 1; |
| 443 |
|
| 444 |
$response = null; |
| 445 |
for ($attempt = 1; $attempt <= $max_attempts; $attempt++) { |
| 446 |
// Keep PHP alive for the whole blocking call (see method docblock). |
| 447 |
$this->raise_request_time_limit(); |
| 448 |
|
| 449 |
$response = wp_remote_request($url, $args); |
| 450 |
|
| 451 |
$is_transient = false; |
| 452 |
$retry_after = 0; |
| 453 |
if (is_wp_error($response)) { |
| 454 |
$is_transient = true; |
| 455 |
} else { |
| 456 |
$status = wp_remote_retrieve_response_code($response); |
| 457 |
if (429 === $status || $status >= 500) { |
| 458 |
$is_transient = true; |
| 459 |
$retry_after = (int) wp_remote_retrieve_header($response, 'retry-after'); |
| 460 |
} |
| 461 |
} |
| 462 |
|
| 463 |
if (!$is_transient || $attempt === $max_attempts) { |
| 464 |
break; |
| 465 |
} |
| 466 |
|
| 467 |
// Honor Retry-After, else exponential backoff (1s, 2s, 4s…), capped. |
| 468 |
$delay = $retry_after > 0 ? min($retry_after, 30) : min(2 ** ($attempt - 1), 8); |
| 469 |
sleep($delay); |
| 470 |
} |
| 471 |
|
| 472 |
return $response; |
| 473 |
} |
| 474 |
|
| 475 |
/** |
| 476 |
* Give PHP enough execution time to outlive a blocking AI HTTP request. |
| 477 |
* |
| 478 |
* The provider call blocks for up to $this->timeout seconds, but the web |
| 479 |
* SAPI's default max_execution_time (commonly 30s) is shorter — so PHP |
| 480 |
* fatally terminates the script mid-request (inside the cURL transport), |
| 481 |
* which the web server surfaces as a 502 Bad Gateway. Resetting the limit |
| 482 |
* before each attempt keeps the script alive for the full call; PHP-FPM's |
| 483 |
* request_terminate_timeout still caps the absolute maximum. No-op when |
| 484 |
* set_time_limit() is disabled (e.g. via disable_functions or safe mode). |
| 485 |
* |
| 486 |
* @return void |
| 487 |
*/ |
| 488 |
private function raise_request_time_limit(): void { |
| 489 |
if (function_exists('set_time_limit')) { |
| 490 |
// Cover the request timeout plus a small buffer for connection |
| 491 |
// setup and response handling. |
| 492 |
@set_time_limit($this->timeout + 45); // phpcs:ignore WordPress.PHP.NoSilencedErrors.Discouraged -- set_time_limit() warns when disabled by host policy; the guard is intentional. |
| 493 |
} |
| 494 |
} |
| 495 |
|
| 496 |
/** |
| 497 |
* Parse SEO response from OpenAI |
| 498 |
* |
| 499 |
* @param array $response OpenAI response |
| 500 |
* @return array Parsed metadata |
| 501 |
* @throws \Exception If parsing fails |
| 502 |
*/ |
| 503 |
private function parse_seo_response(array $response): array { |
| 504 |
if (!isset($response['choices'][0]['message']['content'])) { |
| 505 |
throw new \Exception('Invalid response format from OpenAI'); |
| 506 |
} |
| 507 |
|
| 508 |
$content = $response['choices'][0]['message']['content']; |
| 509 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 510 |
|
| 511 |
// Try to extract JSON from the response |
| 512 |
$json_start = strpos($content, '{'); |
| 513 |
$json_end = strrpos($content, '}'); |
| 514 |
|
| 515 |
if (false === $json_start || false === $json_end) { |
| 516 |
throw new \Exception('No valid JSON found in OpenAI response'); |
| 517 |
} |
| 518 |
|
| 519 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 520 |
$metadata = json_decode($json_content, true); |
| 521 |
|
| 522 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 523 |
throw new \Exception('Failed to parse JSON from OpenAI response'); |
| 524 |
} |
| 525 |
|
| 526 |
// Validate required fields |
| 527 |
$required_fields = ['title', 'description', 'focus_keyword']; |
| 528 |
foreach ($required_fields as $field) { |
| 529 |
if (!isset($metadata[$field])) { |
| 530 |
throw new \Exception(sprintf('Missing required field: %s', esc_html($field))); |
| 531 |
} |
| 532 |
} |
| 533 |
|
| 534 |
return [ |
| 535 |
'title' => sanitize_text_field($metadata['title']), |
| 536 |
'description' => sanitize_text_field($metadata['description']), |
| 537 |
'focus_keyword' => sanitize_text_field($metadata['focus_keyword']), |
| 538 |
'suggestions' => array_map('sanitize_text_field', $metadata['suggestions'] ?? []), |
| 539 |
'generated_at' => current_time('mysql'), |
| 540 |
'tokens_used' => $response['usage']['total_tokens'] ?? 0, |
| 541 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 542 |
]; |
| 543 |
} |
| 544 |
|
| 545 |
/** |
| 546 |
* Parse analysis response from OpenAI |
| 547 |
* |
| 548 |
* @param array $response OpenAI API response |
| 549 |
* @return array Parsed analysis data |
| 550 |
* @throws \Exception If parsing fails |
| 551 |
*/ |
| 552 |
private function parse_analysis_response(array $response): array { |
| 553 |
if (!isset($response['choices'][0]['message']['content'])) { |
| 554 |
throw new \Exception('Invalid response format from OpenAI'); |
| 555 |
} |
| 556 |
|
| 557 |
$content = trim($response['choices'][0]['message']['content']); |
| 558 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 559 |
|
| 560 |
// Extract JSON from response |
| 561 |
$json_start = strpos($content, '{'); |
| 562 |
$json_end = strrpos($content, '}'); |
| 563 |
|
| 564 |
if (false === $json_start || false === $json_end) { |
| 565 |
throw new \Exception('No valid JSON found in response'); |
| 566 |
} |
| 567 |
|
| 568 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 569 |
$analysis = json_decode($json_content, true); |
| 570 |
|
| 571 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 572 |
throw new \Exception('Failed to parse JSON response: ' . esc_html(json_last_error_msg())); |
| 573 |
} |
| 574 |
|
| 575 |
// Validate and sanitize response |
| 576 |
return [ |
| 577 |
'seo_score' => min(100, max(0, (int) ($analysis['seo_score'] ?? 0))), |
| 578 |
'content_analysis' => [ |
| 579 |
'word_count' => (int) ($analysis['content_analysis']['word_count'] ?? 0), |
| 580 |
'readability' => sanitize_text_field($analysis['content_analysis']['readability'] ?? 'unknown'), |
| 581 |
'keyword_density' => sanitize_text_field($analysis['content_analysis']['keyword_density'] ?? 'unknown'), |
| 582 |
'structure' => sanitize_text_field($analysis['content_analysis']['structure'] ?? 'unknown'), |
| 583 |
], |
| 584 |
'suggestions' => array_map('sanitize_text_field', $analysis['suggestions'] ?? []), |
| 585 |
'strengths' => array_map('sanitize_text_field', $analysis['strengths'] ?? []), |
| 586 |
'weaknesses' => array_map('sanitize_text_field', $analysis['weaknesses'] ?? []), |
| 587 |
'analyzed_at' => current_time('mysql'), |
| 588 |
'tokens_used' => $response['usage']['total_tokens'] ?? 0, |
| 589 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 590 |
]; |
| 591 |
} |
| 592 |
|
| 593 |
/** |
| 594 |
* Optimize site identity using OpenAI |
| 595 |
* |
| 596 |
* @since 1.0.0 |
| 597 |
* |
| 598 |
* @param array $site_data Site data to optimize |
| 599 |
* @param array $options Optimization options |
| 600 |
* @return array Optimization results |
| 601 |
* @throws \Exception If optimization fails |
| 602 |
*/ |
| 603 |
public function optimize_site_identity(array $site_data, array $options = []): array { |
| 604 |
$business_type = $options['business_type'] ?? 'website'; |
| 605 |
$target_audience = $options['target_audience'] ?? 'general'; |
| 606 |
$tone = $options['tone'] ?? 'professional'; |
| 607 |
|
| 608 |
$prompt_builder = $this->get_prompt_builder(); |
| 609 |
$prompt = $prompt_builder->build_site_identity_prompt($site_data, $business_type, $target_audience, $tone, 'openai'); |
| 610 |
|
| 611 |
$body = $this->build_chat_request( |
| 612 |
$prompt, |
| 613 |
'You are an expert SEO consultant specializing in site identity optimization. Provide actionable, specific recommendations in JSON format.', |
| 614 |
$this->get_recommended_tokens('optimization'), |
| 615 |
0.4 |
| 616 |
); |
| 617 |
|
| 618 |
$response = $this->make_request('chat/completions', $body); |
| 619 |
|
| 620 |
return $this->parse_site_identity_response($response); |
| 621 |
} |
| 622 |
|
| 623 |
/** |
| 624 |
* Parse site identity optimization response |
| 625 |
* |
| 626 |
* @param array $response OpenAI API response |
| 627 |
* @return array Parsed optimization data |
| 628 |
* @throws \Exception If parsing fails |
| 629 |
*/ |
| 630 |
private function parse_site_identity_response(array $response): array { |
| 631 |
if (!isset($response['choices'][0]['message']['content'])) { |
| 632 |
throw new \Exception('Invalid response format from OpenAI'); |
| 633 |
} |
| 634 |
|
| 635 |
$content = trim($response['choices'][0]['message']['content']); |
| 636 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 637 |
|
| 638 |
// Extract JSON from response |
| 639 |
$json_start = strpos($content, '{'); |
| 640 |
$json_end = strrpos($content, '}'); |
| 641 |
|
| 642 |
if (false === $json_start || false === $json_end) { |
| 643 |
throw new \Exception('No valid JSON found in response'); |
| 644 |
} |
| 645 |
|
| 646 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 647 |
$optimization = json_decode($json_content, true); |
| 648 |
|
| 649 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 650 |
throw new \Exception('Failed to parse JSON response: ' . esc_html(json_last_error_msg())); |
| 651 |
} |
| 652 |
|
| 653 |
// Validate and sanitize response |
| 654 |
return [ |
| 655 |
'optimized_data' => [ |
| 656 |
'site_name' => sanitize_text_field($optimization['optimized_data']['site_name'] ?? ''), |
| 657 |
'site_description' => sanitize_text_field($optimization['optimized_data']['site_description'] ?? ''), |
| 658 |
'tagline' => sanitize_text_field($optimization['optimized_data']['tagline'] ?? ''), |
| 659 |
'default_meta_description' => sanitize_text_field($optimization['optimized_data']['default_meta_description'] ?? ''), |
| 660 |
], |
| 661 |
'analysis' => sanitize_textarea_field($optimization['analysis'] ?? ''), |
| 662 |
'suggestions' => array_map('sanitize_text_field', $optimization['suggestions'] ?? []), |
| 663 |
'score' => min(100, max(0, (int) ($optimization['score'] ?? 0))), |
| 664 |
'tokens_used' => $response['usage']['total_tokens'] ?? 0, |
| 665 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 666 |
]; |
| 667 |
} |
| 668 |
|
| 669 |
/** |
| 670 |
* Optimize homepage meta content using AI (copying Site Identity pattern exactly) |
| 671 |
* |
| 672 |
* @since 1.0.0 |
| 673 |
* |
| 674 |
* @param array $content_data Meta content data to optimize |
| 675 |
* @param array $options Optimization options |
| 676 |
* @return array Optimization results |
| 677 |
* @throws \Exception If optimization fails |
| 678 |
*/ |
| 679 |
public function optimize_homepage_meta(array $content_data, array $options = []): array { |
| 680 |
$business_type = $options['business_type'] ?? 'website'; |
| 681 |
$target_audience = $options['target_audience'] ?? 'general'; |
| 682 |
$tone = $options['tone'] ?? 'professional'; |
| 683 |
$context = $options['context'] ?? []; |
| 684 |
|
| 685 |
$prompt_builder = $this->get_prompt_builder(); |
| 686 |
$prompt = $prompt_builder->build_homepage_meta_prompt($content_data, $business_type, $target_audience, $tone, $context, 'openai'); |
| 687 |
|
| 688 |
$body = $this->build_chat_request( |
| 689 |
$prompt, |
| 690 |
'You are an expert SEO consultant specializing in homepage meta optimization. Provide actionable, specific recommendations in JSON format.', |
| 691 |
$this->get_recommended_tokens('optimization'), |
| 692 |
0.4 |
| 693 |
); |
| 694 |
|
| 695 |
$response = $this->make_request('chat/completions', $body); |
| 696 |
|
| 697 |
return $this->parse_homepage_meta_response($response); |
| 698 |
} |
| 699 |
|
| 700 |
/** |
| 701 |
* Optimize homepage hero content using AI (copying Site Identity pattern exactly) |
| 702 |
* |
| 703 |
* @since 1.0.0 |
| 704 |
* |
| 705 |
* @param array $hero_data Hero content data to optimize |
| 706 |
* @param array $options Optimization options |
| 707 |
* @return array Optimization results |
| 708 |
* @throws \Exception If optimization fails |
| 709 |
*/ |
| 710 |
public function optimize_homepage_hero(array $hero_data, array $options = []): array { |
| 711 |
$business_type = $options['business_type'] ?? 'website'; |
| 712 |
$target_audience = $options['target_audience'] ?? 'general'; |
| 713 |
$tone = $options['tone'] ?? 'professional'; |
| 714 |
$context = $options['context'] ?? []; |
| 715 |
|
| 716 |
$prompt_builder = $this->get_prompt_builder(); |
| 717 |
$prompt = $prompt_builder->build_homepage_hero_prompt($hero_data, $business_type, $target_audience, $tone, $context, 'openai'); |
| 718 |
|
| 719 |
$body = $this->build_chat_request( |
| 720 |
$prompt, |
| 721 |
'You are an expert conversion optimization specialist specializing in homepage hero sections. Provide actionable, specific recommendations in JSON format.', |
| 722 |
$this->get_recommended_tokens('optimization'), |
| 723 |
0.4 |
| 724 |
); |
| 725 |
|
| 726 |
$response = $this->make_request('chat/completions', $body); |
| 727 |
|
| 728 |
return $this->parse_homepage_hero_response($response); |
| 729 |
} |
| 730 |
|
| 731 |
/** |
| 732 |
* Optimize LLMs.txt content using OpenAI |
| 733 |
* |
| 734 |
* @since 1.0.0 |
| 735 |
* |
| 736 |
* @param array $website_data Website data to optimize |
| 737 |
* @param array $options Optimization options |
| 738 |
* @return array Optimization results |
| 739 |
* @throws \Exception If optimization fails |
| 740 |
*/ |
| 741 |
public function optimize_llms_txt(array $website_data, array $options = []): array { |
| 742 |
// Use shared prompt builder for consistent prompts across all AI providers |
| 743 |
$prompt_builder = $this->get_prompt_builder(); |
| 744 |
$prompt = $prompt_builder->build_llms_txt_prompt($website_data, $options, 'openai'); |
| 745 |
|
| 746 |
$body = $this->build_chat_request( |
| 747 |
$prompt, |
| 748 |
'You are an expert technical writer specializing in creating llms.txt files for AI assistants. Provide structured, comprehensive content in JSON format.', |
| 749 |
$this->get_recommended_tokens('llms_txt'), |
| 750 |
0.4 |
| 751 |
); |
| 752 |
|
| 753 |
$response = $this->make_request('chat/completions', $body); |
| 754 |
|
| 755 |
return $this->parse_llms_txt_response($response); |
| 756 |
} |
| 757 |
|
| 758 |
/** |
| 759 |
* Parse LLMs.txt optimization response |
| 760 |
* |
| 761 |
* @param array $response OpenAI API response |
| 762 |
* @return array Parsed optimization data |
| 763 |
* @throws \Exception If parsing fails |
| 764 |
*/ |
| 765 |
private function parse_llms_txt_response(array $response): array { |
| 766 |
if (!isset($response['choices'][0]['message']['content'])) { |
| 767 |
throw new \Exception('Invalid response format from OpenAI'); |
| 768 |
} |
| 769 |
|
| 770 |
$content = trim($response['choices'][0]['message']['content']); |
| 771 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 772 |
|
| 773 |
// Extract JSON from response |
| 774 |
$json_start = strpos($content, '{'); |
| 775 |
$json_end = strrpos($content, '}'); |
| 776 |
|
| 777 |
if (false === $json_start || false === $json_end) { |
| 778 |
throw new \Exception('No valid JSON found in response'); |
| 779 |
} |
| 780 |
|
| 781 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 782 |
$optimization = json_decode($json_content, true); |
| 783 |
|
| 784 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 785 |
throw new \Exception('Invalid JSON in response: ' . esc_html(json_last_error_msg())); |
| 786 |
} |
| 787 |
|
| 788 |
// Validate and sanitize response |
| 789 |
return [ |
| 790 |
'optimized_data' => [ |
| 791 |
'site_name' => sanitize_text_field($optimization['optimized_data']['site_name'] ?? ''), |
| 792 |
'project_overview' => sanitize_textarea_field($optimization['optimized_data']['project_overview'] ?? ''), |
| 793 |
'key_features' => sanitize_textarea_field($optimization['optimized_data']['key_features'] ?? ''), |
| 794 |
'architecture' => sanitize_textarea_field($optimization['optimized_data']['architecture'] ?? ''), |
| 795 |
'development_guidelines' => sanitize_textarea_field($optimization['optimized_data']['development_guidelines'] ?? ''), |
| 796 |
'ai_context' => sanitize_textarea_field($optimization['optimized_data']['ai_context'] ?? ''), |
| 797 |
], |
| 798 |
'suggestions' => array_map('sanitize_text_field', $optimization['suggestions'] ?? []), |
| 799 |
'tokens_used' => $response['usage']['total_tokens'] ?? 0, |
| 800 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 801 |
]; |
| 802 |
} |
| 803 |
|
| 804 |
/** |
| 805 |
* Parse homepage meta optimization response |
| 806 |
* |
| 807 |
* @param array $response OpenAI API response |
| 808 |
* @return array Parsed optimization data |
| 809 |
* @throws \Exception If parsing fails |
| 810 |
*/ |
| 811 |
private function parse_homepage_meta_response(array $response): array { |
| 812 |
if (!isset($response['choices'][0]['message']['content'])) { |
| 813 |
throw new \Exception('Invalid response format from OpenAI'); |
| 814 |
} |
| 815 |
|
| 816 |
$content = trim($response['choices'][0]['message']['content']); |
| 817 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 818 |
|
| 819 |
// Extract JSON from response |
| 820 |
$json_start = strpos($content, '{'); |
| 821 |
$json_end = strrpos($content, '}'); |
| 822 |
|
| 823 |
if (false === $json_start || false === $json_end) { |
| 824 |
throw new \Exception('No valid JSON found in response'); |
| 825 |
} |
| 826 |
|
| 827 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 828 |
$optimization = json_decode($json_content, true); |
| 829 |
|
| 830 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 831 |
throw new \Exception('Failed to parse JSON response: ' . esc_html(json_last_error_msg())); |
| 832 |
} |
| 833 |
|
| 834 |
// Validate and sanitize response |
| 835 |
return [ |
| 836 |
'optimized_data' => [ |
| 837 |
'title' => sanitize_text_field($optimization['optimized_data']['title'] ?? ''), |
| 838 |
'meta_description' => sanitize_text_field($optimization['optimized_data']['meta_description'] ?? ''), |
| 839 |
], |
| 840 |
'analysis' => sanitize_textarea_field($optimization['analysis'] ?? ''), |
| 841 |
'suggestions' => array_map('sanitize_text_field', $optimization['suggestions'] ?? []), |
| 842 |
'score' => min(100, max(0, (int) ($optimization['score'] ?? 0))), |
| 843 |
'tokens_used' => $response['usage']['total_tokens'] ?? 0, |
| 844 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 845 |
]; |
| 846 |
} |
| 847 |
|
| 848 |
/** |
| 849 |
* Parse homepage hero optimization response |
| 850 |
* |
| 851 |
* @param array $response OpenAI API response |
| 852 |
* @return array Parsed optimization data |
| 853 |
* @throws \Exception If parsing fails |
| 854 |
*/ |
| 855 |
private function parse_homepage_hero_response(array $response): array { |
| 856 |
if (!isset($response['choices'][0]['message']['content'])) { |
| 857 |
throw new \Exception('Invalid response format from OpenAI'); |
| 858 |
} |
| 859 |
|
| 860 |
$content = trim($response['choices'][0]['message']['content']); |
| 861 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 862 |
|
| 863 |
// Extract JSON from response |
| 864 |
$json_start = strpos($content, '{'); |
| 865 |
$json_end = strrpos($content, '}'); |
| 866 |
|
| 867 |
if (false === $json_start || false === $json_end) { |
| 868 |
throw new \Exception('No valid JSON found in response'); |
| 869 |
} |
| 870 |
|
| 871 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 872 |
$optimization = json_decode($json_content, true); |
| 873 |
|
| 874 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 875 |
throw new \Exception('Failed to parse JSON response: ' . esc_html(json_last_error_msg())); |
| 876 |
} |
| 877 |
|
| 878 |
// Validate and sanitize response |
| 879 |
return [ |
| 880 |
'optimized_data' => [ |
| 881 |
'hero_title' => sanitize_text_field($optimization['optimized_data']['hero_title'] ?? ''), |
| 882 |
'hero_subtitle' => sanitize_text_field($optimization['optimized_data']['hero_subtitle'] ?? ''), |
| 883 |
'hero_cta_text' => sanitize_text_field($optimization['optimized_data']['hero_cta_text'] ?? '') |
| 884 |
], |
| 885 |
'analysis' => sanitize_textarea_field($optimization['analysis'] ?? ''), |
| 886 |
'suggestions' => array_map('sanitize_text_field', $optimization['suggestions'] ?? []), |
| 887 |
'score' => min(100, max(0, (int) ($optimization['score'] ?? 0))), |
| 888 |
'tokens_used' => $response['usage']['total_tokens'] ?? 0, |
| 889 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 890 |
]; |
| 891 |
} |
| 892 |
} |
| 893 |
|
