| 1 |
<?php |
| 2 |
/** |
| 3 |
* Google Gemini AI Client |
| 4 |
* |
| 5 |
* Handles communication with Google's Gemini API for AI-powered features. |
| 6 |
* Integrates with centralized prompt system for consistent prompts across providers. |
| 7 |
* |
| 8 |
* @package ThinkRank |
| 9 |
* @subpackage AI |
| 10 |
* @since 1.0.0 |
| 11 |
*/ |
| 12 |
|
| 13 |
declare(strict_types=1); |
| 14 |
|
| 15 |
namespace ThinkRank\AI; |
| 16 |
|
| 17 |
// Prevent direct access |
| 18 |
if (!defined('ABSPATH')) { |
| 19 |
exit; |
| 20 |
} |
| 21 |
|
| 22 |
/** |
| 23 |
* Gemini AI Client Class |
| 24 |
* |
| 25 |
* Provides interface to Google Gemini API for SEO optimization, |
| 26 |
* content analysis, and other AI-powered features. |
| 27 |
* |
| 28 |
* @since 1.0.0 |
| 29 |
*/ |
| 30 |
class Gemini_Client { |
| 31 |
|
| 32 |
/** |
| 33 |
* API key for Gemini |
| 34 |
* |
| 35 |
* @since 1.0.0 |
| 36 |
* @var string |
| 37 |
*/ |
| 38 |
private string $api_key; |
| 39 |
|
| 40 |
/** |
| 41 |
* Model to use for requests |
| 42 |
* |
| 43 |
* @since 1.0.0 |
| 44 |
* @var string |
| 45 |
*/ |
| 46 |
private string $model; |
| 47 |
|
| 48 |
/** |
| 49 |
* Request timeout in seconds |
| 50 |
* |
| 51 |
* @since 1.0.0 |
| 52 |
* @var int |
| 53 |
*/ |
| 54 |
private int $timeout; |
| 55 |
|
| 56 |
/** |
| 57 |
* Prompt Builder instance |
| 58 |
* |
| 59 |
* @since 1.0.0 |
| 60 |
* @var Prompt_Builder|null |
| 61 |
*/ |
| 62 |
private ?Prompt_Builder $prompt_builder = null; |
| 63 |
|
| 64 |
/** |
| 65 |
* Constructor |
| 66 |
* |
| 67 |
* @param string $api_key Gemini API key |
| 68 |
* @param string $model Default model to use |
| 69 |
* @param int $timeout Request timeout |
| 70 |
*/ |
| 71 |
public function __construct(string $api_key, string $model = 'gemini-2.5-flash', int $timeout = 30) { |
| 72 |
$this->api_key = $api_key; |
| 73 |
$this->model = $model; |
| 74 |
$this->timeout = $timeout; |
| 75 |
} |
| 76 |
|
| 77 |
/** |
| 78 |
* Get current model |
| 79 |
* |
| 80 |
* @since 1.0.0 |
| 81 |
* |
| 82 |
* @return string Current model name |
| 83 |
*/ |
| 84 |
public function get_model(): string { |
| 85 |
return $this->model; |
| 86 |
} |
| 87 |
|
| 88 |
/** |
| 89 |
* Get Prompt Builder instance |
| 90 |
* |
| 91 |
* @since 1.0.0 |
| 92 |
* |
| 93 |
* @return Prompt_Builder Prompt Builder instance |
| 94 |
*/ |
| 95 |
private function get_prompt_builder(): Prompt_Builder { |
| 96 |
if (!$this->prompt_builder) { |
| 97 |
// Ensure Prompt Builder is loaded |
| 98 |
if (!class_exists('ThinkRank\\AI\\Prompt_Builder')) { |
| 99 |
require_once THINKRANK_PLUGIN_DIR . 'includes/ai/class-prompt-builder.php'; |
| 100 |
} |
| 101 |
$this->prompt_builder = new Prompt_Builder(); |
| 102 |
} |
| 103 |
return $this->prompt_builder; |
| 104 |
} |
| 105 |
|
| 106 |
/** |
| 107 |
* Generate SEO metadata for content |
| 108 |
* |
| 109 |
* @param string $content Content to optimize |
| 110 |
* @param array $options Generation options |
| 111 |
* @return array Generated metadata |
| 112 |
* @throws \Exception If generation fails |
| 113 |
*/ |
| 114 |
public function generate_seo_metadata(string $content, array $options = []): array { |
| 115 |
$target_keyword = $options['target_keyword'] ?? ''; |
| 116 |
$content_type = $options['content_type'] ?? 'blog_post'; |
| 117 |
$tone = $options['tone'] ?? 'professional'; |
| 118 |
|
| 119 |
$prompt_builder = $this->get_prompt_builder(); |
| 120 |
$prompt = $prompt_builder->build_seo_prompt($content, $target_keyword, $content_type, $tone, 'gemini'); |
| 121 |
|
| 122 |
$response = $this->generate_completion($prompt, [ |
| 123 |
'max_tokens' => 500, |
| 124 |
'temperature' => 0.3, |
| 125 |
]); |
| 126 |
|
| 127 |
return $this->parse_seo_response($response); |
| 128 |
} |
| 129 |
|
| 130 |
/** |
| 131 |
* Analyze content for SEO optimization |
| 132 |
* |
| 133 |
* @param string $content Content to analyze |
| 134 |
* @param array $metadata Existing metadata |
| 135 |
* @return array Analysis results |
| 136 |
* @throws \Exception If analysis fails |
| 137 |
*/ |
| 138 |
public function analyze_content(string $content, array $metadata = []): array { |
| 139 |
$prompt_builder = $this->get_prompt_builder(); |
| 140 |
$prompt = $prompt_builder->build_analysis_prompt($content, $metadata, 'gemini'); |
| 141 |
|
| 142 |
$response = $this->generate_completion($prompt, [ |
| 143 |
'max_tokens' => 800, |
| 144 |
'temperature' => 0.3, |
| 145 |
]); |
| 146 |
|
| 147 |
return $this->parse_analysis_response($response); |
| 148 |
} |
| 149 |
|
| 150 |
/** |
| 151 |
* Optimize site identity |
| 152 |
* |
| 153 |
* @since 1.0.0 |
| 154 |
* |
| 155 |
* @param array $site_data Site data to optimize |
| 156 |
* @param array $options Optimization options |
| 157 |
* @return array Optimization results |
| 158 |
* @throws \Exception If optimization fails |
| 159 |
*/ |
| 160 |
public function optimize_site_identity(array $site_data, array $options = []): array { |
| 161 |
$business_type = $options['business_type'] ?? 'website'; |
| 162 |
$target_audience = $options['target_audience'] ?? 'general'; |
| 163 |
$tone = $options['tone'] ?? 'professional'; |
| 164 |
|
| 165 |
$prompt_builder = $this->get_prompt_builder(); |
| 166 |
$prompt = $prompt_builder->build_site_identity_prompt($site_data, $business_type, $target_audience, $tone, 'gemini'); |
| 167 |
|
| 168 |
$response = $this->make_request('generateContent', [ |
| 169 |
'contents' => [ |
| 170 |
[ |
| 171 |
'parts' => [ |
| 172 |
['text' => $prompt] |
| 173 |
] |
| 174 |
] |
| 175 |
], |
| 176 |
'systemInstruction' => [ |
| 177 |
'parts' => [ |
| 178 |
['text' => 'You are an expert SEO consultant specializing in site identity optimization. Provide actionable, specific recommendations in JSON format.'] |
| 179 |
] |
| 180 |
], |
| 181 |
'generationConfig' => $this->build_generation_config([ |
| 182 |
'maxOutputTokens' => 2000, // Increased based on actual usage (1499 tokens used) |
| 183 |
'temperature' => 0.4, |
| 184 |
]) |
| 185 |
]); |
| 186 |
|
| 187 |
return $this->parse_site_identity_response($response); |
| 188 |
} |
| 189 |
|
| 190 |
/** |
| 191 |
* Optimize homepage meta content |
| 192 |
* |
| 193 |
* @since 1.0.0 |
| 194 |
* |
| 195 |
* @param array $content_data Meta content data |
| 196 |
* @param array $options Optimization options |
| 197 |
* @return array Optimization results |
| 198 |
* @throws \Exception If optimization fails |
| 199 |
*/ |
| 200 |
public function optimize_homepage_meta(array $content_data, array $options = []): array { |
| 201 |
$business_type = $options['business_type'] ?? 'website'; |
| 202 |
$target_audience = $options['target_audience'] ?? 'general'; |
| 203 |
$tone = $options['tone'] ?? 'professional'; |
| 204 |
$context = $options['context'] ?? []; |
| 205 |
|
| 206 |
$prompt_builder = $this->get_prompt_builder(); |
| 207 |
$prompt = $prompt_builder->build_homepage_meta_prompt($content_data, $business_type, $target_audience, $tone, $context, 'gemini'); |
| 208 |
|
| 209 |
$response = $this->make_request('generateContent', [ |
| 210 |
'contents' => [ |
| 211 |
[ |
| 212 |
'parts' => [ |
| 213 |
['text' => $prompt] |
| 214 |
] |
| 215 |
] |
| 216 |
], |
| 217 |
'systemInstruction' => [ |
| 218 |
'parts' => [ |
| 219 |
['text' => 'You are an expert SEO consultant specializing in homepage meta optimization. Provide actionable, specific recommendations in JSON format.'] |
| 220 |
] |
| 221 |
], |
| 222 |
'generationConfig' => $this->build_generation_config([ |
| 223 |
'maxOutputTokens' => 1200, // Higher limit for Gemini homepage meta |
| 224 |
'temperature' => 0.4, |
| 225 |
]) |
| 226 |
]); |
| 227 |
|
| 228 |
return $this->parse_homepage_meta_response($response); |
| 229 |
} |
| 230 |
|
| 231 |
/** |
| 232 |
* Optimize homepage hero content |
| 233 |
* |
| 234 |
* @since 1.0.0 |
| 235 |
* |
| 236 |
* @param array $hero_data Hero content data |
| 237 |
* @param array $options Optimization options |
| 238 |
* @return array Optimization results |
| 239 |
* @throws \Exception If optimization fails |
| 240 |
*/ |
| 241 |
public function optimize_homepage_hero(array $hero_data, array $options = []): array { |
| 242 |
$business_type = $options['business_type'] ?? 'website'; |
| 243 |
$target_audience = $options['target_audience'] ?? 'general'; |
| 244 |
$tone = $options['tone'] ?? 'professional'; |
| 245 |
$context = $options['context'] ?? []; |
| 246 |
|
| 247 |
$prompt_builder = $this->get_prompt_builder(); |
| 248 |
$prompt = $prompt_builder->build_homepage_hero_prompt($hero_data, $business_type, $target_audience, $tone, $context, 'gemini'); |
| 249 |
|
| 250 |
$response = $this->make_request('generateContent', [ |
| 251 |
'contents' => [ |
| 252 |
[ |
| 253 |
'parts' => [ |
| 254 |
['text' => $prompt] |
| 255 |
] |
| 256 |
] |
| 257 |
], |
| 258 |
'systemInstruction' => [ |
| 259 |
'parts' => [ |
| 260 |
['text' => 'You are an expert SEO consultant specializing in homepage hero optimization. Provide actionable, specific recommendations in JSON format.'] |
| 261 |
] |
| 262 |
], |
| 263 |
'generationConfig' => $this->build_generation_config([ |
| 264 |
'maxOutputTokens' => 1200, // Higher limit for Gemini homepage hero |
| 265 |
'temperature' => 0.4, |
| 266 |
]) |
| 267 |
]); |
| 268 |
|
| 269 |
return $this->parse_homepage_hero_response($response); |
| 270 |
} |
| 271 |
|
| 272 |
/** |
| 273 |
* Optimize LLMs.txt content |
| 274 |
* |
| 275 |
* @since 1.0.0 |
| 276 |
* |
| 277 |
* @param array $website_data Website data to optimize |
| 278 |
* @param array $options Optimization options |
| 279 |
* @return array Optimization results |
| 280 |
* @throws \Exception If optimization fails |
| 281 |
*/ |
| 282 |
public function optimize_llms_txt(array $website_data, array $options = []): array { |
| 283 |
// Use shared prompt builder for consistent prompts across all AI providers |
| 284 |
$prompt_builder = $this->get_prompt_builder(); |
| 285 |
$prompt = $prompt_builder->build_llms_txt_prompt($website_data, $options, 'gemini'); |
| 286 |
|
| 287 |
$response = $this->make_request('generateContent', [ |
| 288 |
'contents' => [ |
| 289 |
[ |
| 290 |
'parts' => [ |
| 291 |
['text' => $prompt] |
| 292 |
] |
| 293 |
] |
| 294 |
], |
| 295 |
'generationConfig' => $this->build_generation_config([ |
| 296 |
'maxOutputTokens' => 2000, // Increased for Gemini 2.5 Flash compatibility |
| 297 |
'temperature' => 0.4, |
| 298 |
]) |
| 299 |
]); |
| 300 |
|
| 301 |
return $this->parse_llms_txt_response($response); |
| 302 |
} |
| 303 |
|
| 304 |
/** |
| 305 |
* Generate completion using Gemini API |
| 306 |
* |
| 307 |
* @param string $prompt Prompt to send |
| 308 |
* @param array $options Generation options |
| 309 |
* @return array API response |
| 310 |
* @throws \Exception If request fails |
| 311 |
*/ |
| 312 |
public function generate_completion(string $prompt, array $options = []): array { |
| 313 |
$max_tokens = $options['max_tokens'] ?? 1000; |
| 314 |
$temperature = $options['temperature'] ?? 0.7; |
| 315 |
|
| 316 |
return $this->make_request('generateContent', [ |
| 317 |
'contents' => [ |
| 318 |
[ |
| 319 |
'parts' => [ |
| 320 |
['text' => $prompt] |
| 321 |
] |
| 322 |
] |
| 323 |
], |
| 324 |
'generationConfig' => $this->build_generation_config([ |
| 325 |
'maxOutputTokens' => $max_tokens, |
| 326 |
'temperature' => $temperature, |
| 327 |
]) |
| 328 |
]); |
| 329 |
} |
| 330 |
|
| 331 |
/** |
| 332 |
* Build the generationConfig for a request, disabling "thinking" on |
| 333 |
* Gemini 2.5 Flash models. |
| 334 |
* |
| 335 |
* Gemini 2.5 Flash / Flash-Lite enable an internal "thinking" phase by |
| 336 |
* default, and those thoughts are billed against maxOutputTokens. On smaller |
| 337 |
* budgets — especially the free API tier used with the default |
| 338 |
* gemini-2.5-flash model — thinking can consume most of the budget, leaving |
| 339 |
* the visible answer truncated (finishReason=MAX_TOKENS) with incomplete |
| 340 |
* JSON. Downstream parsers then fail with "parsing failed". Setting |
| 341 |
* thinkingBudget to 0 disables thinking so the entire budget is spent on the |
| 342 |
* JSON answer. |
| 343 |
* |
| 344 |
* Only 2.5 Flash models accept thinkingBudget=0; 2.5 Pro requires a minimum |
| 345 |
* budget and pre-2.5 models reject thinkingConfig outright, so the override |
| 346 |
* is scoped to Flash models to avoid 400 errors. |
| 347 |
* |
| 348 |
* @param array $config Caller-supplied generationConfig |
| 349 |
* @return array generationConfig with thinking disabled where supported |
| 350 |
*/ |
| 351 |
private function build_generation_config(array $config): array { |
| 352 |
if (strpos($this->model, 'gemini-2.5-flash') === 0) { |
| 353 |
$config['thinkingConfig'] = ['thinkingBudget' => 0]; |
| 354 |
} |
| 355 |
|
| 356 |
if (isset($config['maxOutputTokens'])) { |
| 357 |
$config['maxOutputTokens'] = min((int) $config['maxOutputTokens'], $this->get_max_output_tokens()); |
| 358 |
} |
| 359 |
|
| 360 |
return $config; |
| 361 |
} |
| 362 |
|
| 363 |
/** |
| 364 |
* Maximum output tokens the current model accepts |
| 365 |
* |
| 366 |
* @since 1.21.0 |
| 367 |
* |
| 368 |
* @return int Output token ceiling |
| 369 |
*/ |
| 370 |
private function get_max_output_tokens(): int { |
| 371 |
// Gemini 2.5 and newer allow 64k output; 1.5/2.0 cap at 8k. |
| 372 |
return preg_match('/^gemini-(2\.5|3)/', $this->model) ? 65536 : 8192; |
| 373 |
} |
| 374 |
|
| 375 |
/** |
| 376 |
* Get recommended token limit for specific use cases |
| 377 |
* |
| 378 |
* Mirrors the OpenAI/OpenRouter clients so callers can size a request |
| 379 |
* without knowing which provider is active. Without this method callers |
| 380 |
* fall back to a 4000-token budget, which a full content brief overruns |
| 381 |
* (the reply is then cut off mid-JSON and fails to parse). |
| 382 |
* |
| 383 |
* @since 1.21.0 |
| 384 |
* |
| 385 |
* @param string $use_case Use case (e.g., 'content_brief', 'seo_metadata', 'analysis') |
| 386 |
* @return int Recommended token limit |
| 387 |
*/ |
| 388 |
public function get_recommended_tokens(string $use_case): int { |
| 389 |
$recommendations = [ |
| 390 |
// Higher budget: the brief now also returns a full article body, |
| 391 |
// so the reply is much longer than the structured fields alone. |
| 392 |
'content_brief' => 16384, |
| 393 |
'seo_metadata' => 800, |
| 394 |
'analysis' => 1500, |
| 395 |
'llms_txt' => 2000, |
| 396 |
'optimization' => 2000, |
| 397 |
]; |
| 398 |
|
| 399 |
return min($recommendations[$use_case] ?? 1000, $this->get_max_output_tokens()); |
| 400 |
} |
| 401 |
|
| 402 |
/** |
| 403 |
* Make request to Gemini API |
| 404 |
* |
| 405 |
* @param string $endpoint API endpoint |
| 406 |
* @param array $data Request data |
| 407 |
* @return array Response data |
| 408 |
* @throws \Exception If request fails |
| 409 |
*/ |
| 410 |
private function make_request(string $endpoint, array $data): array { |
| 411 |
// Send the API key in the x-goog-api-key header rather than the URL |
| 412 |
// query string, which is logged by servers, proxies and referrers. |
| 413 |
$url = "https://generativelanguage.googleapis.com/v1beta/models/{$this->model}:{$endpoint}"; |
| 414 |
|
| 415 |
$response = $this->request_with_retry($url, [ |
| 416 |
'timeout' => $this->timeout, |
| 417 |
'headers' => [ |
| 418 |
'Content-Type' => 'application/json', |
| 419 |
'x-goog-api-key' => $this->api_key, |
| 420 |
], |
| 421 |
'method' => 'POST', |
| 422 |
'body' => wp_json_encode($data), |
| 423 |
]); |
| 424 |
|
| 425 |
if (is_wp_error($response)) { |
| 426 |
throw new \Exception('Gemini API request failed: ' . esc_html($response->get_error_message())); |
| 427 |
} |
| 428 |
|
| 429 |
$status_code = wp_remote_retrieve_response_code($response); |
| 430 |
$body = wp_remote_retrieve_body($response); |
| 431 |
|
| 432 |
if ($status_code !== 200) { |
| 433 |
$error_data = json_decode($body, true); |
| 434 |
$error_message = $error_data['error']['message'] ?? 'Unknown error'; |
| 435 |
throw new \Exception('Gemini API error (' . esc_html($status_code) . '): ' . esc_html($error_message)); |
| 436 |
} |
| 437 |
|
| 438 |
$decoded = json_decode($body, true); |
| 439 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 440 |
throw new \Exception('Invalid JSON response from Gemini API'); |
| 441 |
} |
| 442 |
|
| 443 |
// A valid-but-scalar body (null/number/string from a proxy/gateway on a |
| 444 |
// 2xx) would violate this method's : array return type; reject it here so |
| 445 |
// it surfaces as a catchable \Exception, not an uncatchable TypeError. |
| 446 |
if (!is_array($decoded)) { |
| 447 |
throw new \Exception('Unexpected non-array response from Gemini API'); |
| 448 |
} |
| 449 |
|
| 450 |
// Debug: Log token usage information |
| 451 |
if (isset($decoded['usageMetadata'])) { |
| 452 |
$usage = $decoded['usageMetadata']; |
| 453 |
$prompt_tokens = $usage['promptTokenCount'] ?? 0; |
| 454 |
$total_tokens = $usage['totalTokenCount'] ?? 0; |
| 455 |
$output_tokens = $total_tokens - $prompt_tokens; |
| 456 |
|
| 457 |
|
| 458 |
} |
| 459 |
|
| 460 |
return $decoded; |
| 461 |
} |
| 462 |
|
| 463 |
/** |
| 464 |
* Perform an HTTP request, retrying transient failures (429 / 5xx / network) |
| 465 |
* per the plugin's retry settings, honoring a Retry-After header when given. |
| 466 |
* |
| 467 |
* @param string $url Request URL |
| 468 |
* @param array $args wp_remote_request arguments |
| 469 |
* @return array|\WP_Error Final response (or last error after retries) |
| 470 |
*/ |
| 471 |
private function request_with_retry(string $url, array $args) { |
| 472 |
$settings = \ThinkRank\Core\Settings::instance(); |
| 473 |
$retry_enabled = (bool) $settings->get('retry_failed_requests', true); |
| 474 |
$max_attempts = $retry_enabled ? max(1, (int) $settings->get('retry_attempts', 3)) : 1; |
| 475 |
|
| 476 |
$response = null; |
| 477 |
for ($attempt = 1; $attempt <= $max_attempts; $attempt++) { |
| 478 |
// Keep PHP alive for the whole blocking call (see method docblock). |
| 479 |
$this->raise_request_time_limit(); |
| 480 |
|
| 481 |
$response = wp_remote_request($url, $args); |
| 482 |
|
| 483 |
$is_transient = false; |
| 484 |
$retry_after = 0; |
| 485 |
if (is_wp_error($response)) { |
| 486 |
$is_transient = true; |
| 487 |
} else { |
| 488 |
$status = wp_remote_retrieve_response_code($response); |
| 489 |
if (429 === $status || $status >= 500) { |
| 490 |
$is_transient = true; |
| 491 |
$retry_after = (int) wp_remote_retrieve_header($response, 'retry-after'); |
| 492 |
} |
| 493 |
} |
| 494 |
|
| 495 |
if (!$is_transient || $attempt === $max_attempts) { |
| 496 |
break; |
| 497 |
} |
| 498 |
|
| 499 |
$delay = $retry_after > 0 ? min($retry_after, 30) : min(2 ** ($attempt - 1), 8); |
| 500 |
sleep($delay); |
| 501 |
} |
| 502 |
|
| 503 |
return $response; |
| 504 |
} |
| 505 |
|
| 506 |
/** |
| 507 |
* Give PHP enough execution time to outlive a blocking AI HTTP request. |
| 508 |
* |
| 509 |
* The provider call blocks for up to $this->timeout seconds, but the web |
| 510 |
* SAPI's default max_execution_time (commonly 30s) is shorter — so PHP |
| 511 |
* fatally terminates the script mid-request (inside the cURL transport), |
| 512 |
* which the web server surfaces as a 502 Bad Gateway. Resetting the limit |
| 513 |
* before each attempt keeps the script alive for the full call; PHP-FPM's |
| 514 |
* request_terminate_timeout still caps the absolute maximum. No-op when |
| 515 |
* set_time_limit() is disabled (e.g. via disable_functions or safe mode). |
| 516 |
* |
| 517 |
* @return void |
| 518 |
*/ |
| 519 |
private function raise_request_time_limit(): void { |
| 520 |
if (function_exists('set_time_limit')) { |
| 521 |
@set_time_limit($this->timeout + 45); // phpcs:ignore WordPress.PHP.NoSilencedErrors.Discouraged -- set_time_limit() warns when disabled by host policy; the guard is intentional. |
| 522 |
} |
| 523 |
} |
| 524 |
|
| 525 |
/** |
| 526 |
* Parse SEO response from Gemini |
| 527 |
* |
| 528 |
* @param array $response Gemini response |
| 529 |
* @return array Parsed metadata |
| 530 |
* @throws \Exception If parsing fails |
| 531 |
*/ |
| 532 |
private function parse_seo_response(array $response): array { |
| 533 |
|
| 534 |
|
| 535 |
if (!isset($response['candidates'][0]['content']['parts'][0]['text'])) { |
| 536 |
throw new \Exception('Invalid response format from Gemini'); |
| 537 |
} |
| 538 |
|
| 539 |
$content = trim($response['candidates'][0]['content']['parts'][0]['text']); |
| 540 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 541 |
|
| 542 |
// Extract JSON from response |
| 543 |
$json_start = strpos($content, '{'); |
| 544 |
$json_end = strrpos($content, '}'); |
| 545 |
|
| 546 |
if (false === $json_start || false === $json_end) { |
| 547 |
throw new \Exception('No valid JSON found in Gemini response'); |
| 548 |
} |
| 549 |
|
| 550 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 551 |
$metadata = json_decode($json_content, true); |
| 552 |
|
| 553 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 554 |
throw new \Exception('Invalid JSON in Gemini response: ' . esc_html(json_last_error_msg())); |
| 555 |
} |
| 556 |
|
| 557 |
// Validate required fields |
| 558 |
$required_fields = ['title', 'description', 'focus_keyword']; |
| 559 |
foreach ($required_fields as $field) { |
| 560 |
if (!isset($metadata[$field])) { |
| 561 |
throw new \Exception('Missing required field: ' . esc_html($field)); |
| 562 |
} |
| 563 |
} |
| 564 |
|
| 565 |
return [ |
| 566 |
'title' => sanitize_text_field($metadata['title']), |
| 567 |
'description' => sanitize_textarea_field($metadata['description']), |
| 568 |
'focus_keyword' => sanitize_text_field($metadata['focus_keyword']), |
| 569 |
'suggestions' => array_map('sanitize_text_field', $metadata['suggestions'] ?? []), |
| 570 |
'generated_at' => current_time('mysql'), |
| 571 |
'provider' => 'gemini', |
| 572 |
'model' => $this->model, |
| 573 |
'tokens_used' => $response['usageMetadata']['totalTokenCount'] ?? 0, |
| 574 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 575 |
]; |
| 576 |
} |
| 577 |
|
| 578 |
/** |
| 579 |
* Parse analysis response from Gemini |
| 580 |
* |
| 581 |
* @param array $response Gemini response |
| 582 |
* @return array Parsed analysis |
| 583 |
* @throws \Exception If parsing fails |
| 584 |
*/ |
| 585 |
private function parse_analysis_response(array $response): array { |
| 586 |
if (!isset($response['candidates'][0]['content']['parts'][0]['text'])) { |
| 587 |
throw new \Exception('Invalid response format from Gemini'); |
| 588 |
} |
| 589 |
|
| 590 |
$content = trim($response['candidates'][0]['content']['parts'][0]['text']); |
| 591 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 592 |
|
| 593 |
// Extract JSON from response |
| 594 |
$json_start = strpos($content, '{'); |
| 595 |
$json_end = strrpos($content, '}'); |
| 596 |
|
| 597 |
if (false === $json_start || false === $json_end) { |
| 598 |
throw new \Exception('No valid JSON found in Gemini response'); |
| 599 |
} |
| 600 |
|
| 601 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 602 |
$analysis = json_decode($json_content, true); |
| 603 |
|
| 604 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 605 |
throw new \Exception('Invalid JSON in Gemini response: ' . esc_html(json_last_error_msg())); |
| 606 |
} |
| 607 |
|
| 608 |
return [ |
| 609 |
'seo_score' => absint($analysis['seo_score'] ?? 0), |
| 610 |
'content_analysis' => $analysis['content_analysis'] ?? [], |
| 611 |
'suggestions' => array_map('sanitize_text_field', $analysis['suggestions'] ?? []), |
| 612 |
'strengths' => array_map('sanitize_text_field', $analysis['strengths'] ?? []), |
| 613 |
'weaknesses' => array_map('sanitize_text_field', $analysis['weaknesses'] ?? []), |
| 614 |
'generated_at' => current_time('mysql'), |
| 615 |
'provider' => 'gemini', |
| 616 |
'model' => $this->model, |
| 617 |
'tokens_used' => $response['usageMetadata']['totalTokenCount'] ?? 0, |
| 618 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 619 |
]; |
| 620 |
} |
| 621 |
|
| 622 |
/** |
| 623 |
* Parse site identity optimization response |
| 624 |
* |
| 625 |
* @param array $response Gemini API response |
| 626 |
* @return array Parsed optimization data |
| 627 |
* @throws \Exception If parsing fails |
| 628 |
*/ |
| 629 |
private function parse_site_identity_response(array $response): array { |
| 630 |
if (!isset($response['candidates'][0]['content']['parts'][0]['text'])) { |
| 631 |
// Check if content was blocked by safety filters |
| 632 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'SAFETY') { |
| 633 |
throw new \Exception('Content was blocked by Gemini safety filters. Please try rephrasing your request.'); |
| 634 |
} |
| 635 |
// Check if response was truncated due to token limit |
| 636 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'MAX_TOKENS') { |
| 637 |
throw new \Exception('Gemini response was truncated due to token limit. Please try a shorter request or increase token limit.'); |
| 638 |
} |
| 639 |
// Check if there are no candidates |
| 640 |
if (!isset($response['candidates']) || empty($response['candidates'])) { |
| 641 |
throw new \Exception('No response candidates from Gemini. The request may have been filtered.'); |
| 642 |
} |
| 643 |
// Check if content exists but parts are missing |
| 644 |
if (isset($response['candidates'][0]['content']) && !isset($response['candidates'][0]['content']['parts'])) { |
| 645 |
throw new \Exception('Gemini response missing content parts. The response may be incomplete.'); |
| 646 |
} |
| 647 |
throw new \Exception('Invalid response format from Gemini'); |
| 648 |
} |
| 649 |
|
| 650 |
$content = trim($response['candidates'][0]['content']['parts'][0]['text']); |
| 651 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 652 |
|
| 653 |
// Extract JSON from response |
| 654 |
$json_start = strpos($content, '{'); |
| 655 |
$json_end = strrpos($content, '}'); |
| 656 |
|
| 657 |
if (false === $json_start || false === $json_end) { |
| 658 |
throw new \Exception('No valid JSON found in Gemini response'); |
| 659 |
} |
| 660 |
|
| 661 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 662 |
$data = json_decode($json_content, true); |
| 663 |
|
| 664 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 665 |
throw new \Exception('Invalid JSON in Gemini response: ' . esc_html(json_last_error_msg())); |
| 666 |
} |
| 667 |
|
| 668 |
return [ |
| 669 |
'optimized_data' => $data['optimized_data'] ?? [], |
| 670 |
'analysis' => sanitize_textarea_field($data['analysis'] ?? ''), |
| 671 |
'suggestions' => array_map('sanitize_text_field', $data['suggestions'] ?? []), |
| 672 |
'score' => absint($data['score'] ?? 0), |
| 673 |
'generated_at' => current_time('mysql'), |
| 674 |
'provider' => 'gemini', |
| 675 |
'model' => $this->model, |
| 676 |
'tokens_used' => $response['usageMetadata']['totalTokenCount'] ?? 0, |
| 677 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 678 |
]; |
| 679 |
} |
| 680 |
|
| 681 |
/** |
| 682 |
* Parse homepage meta optimization response |
| 683 |
* |
| 684 |
* @param array $response Gemini API response |
| 685 |
* @return array Parsed optimization data |
| 686 |
* @throws \Exception If parsing fails |
| 687 |
*/ |
| 688 |
private function parse_homepage_meta_response(array $response): array { |
| 689 |
if (!isset($response['candidates'][0]['content']['parts'][0]['text'])) { |
| 690 |
// Check if content was blocked by safety filters |
| 691 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'SAFETY') { |
| 692 |
throw new \Exception('Content was blocked by Gemini safety filters. Please try rephrasing your request.'); |
| 693 |
} |
| 694 |
// Check if response was truncated due to token limit |
| 695 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'MAX_TOKENS') { |
| 696 |
throw new \Exception('Gemini response was truncated due to token limit. Please try a shorter request or increase token limit.'); |
| 697 |
} |
| 698 |
// Check if there are no candidates |
| 699 |
if (!isset($response['candidates']) || empty($response['candidates'])) { |
| 700 |
throw new \Exception('No response candidates from Gemini. The request may have been filtered.'); |
| 701 |
} |
| 702 |
// Check if content exists but parts are missing |
| 703 |
if (isset($response['candidates'][0]['content']) && !isset($response['candidates'][0]['content']['parts'])) { |
| 704 |
throw new \Exception('Gemini response missing content parts. The response may be incomplete.'); |
| 705 |
} |
| 706 |
throw new \Exception('Invalid response format from Gemini'); |
| 707 |
} |
| 708 |
|
| 709 |
$content = trim($response['candidates'][0]['content']['parts'][0]['text']); |
| 710 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 711 |
|
| 712 |
// Extract JSON from response |
| 713 |
$json_start = strpos($content, '{'); |
| 714 |
$json_end = strrpos($content, '}'); |
| 715 |
|
| 716 |
if (false === $json_start || false === $json_end) { |
| 717 |
throw new \Exception('No valid JSON found in Gemini response'); |
| 718 |
} |
| 719 |
|
| 720 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 721 |
$data = json_decode($json_content, true); |
| 722 |
|
| 723 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 724 |
throw new \Exception('Invalid JSON in Gemini response: ' . esc_html(json_last_error_msg())); |
| 725 |
} |
| 726 |
|
| 727 |
return [ |
| 728 |
'optimized_data' => $data['optimized_data'] ?? [], |
| 729 |
'analysis' => sanitize_textarea_field($data['analysis'] ?? ''), |
| 730 |
'suggestions' => array_map('sanitize_text_field', $data['suggestions'] ?? []), |
| 731 |
'score' => absint($data['score'] ?? 0), |
| 732 |
'generated_at' => current_time('mysql'), |
| 733 |
'provider' => 'gemini', |
| 734 |
'model' => $this->model, |
| 735 |
'tokens_used' => $response['usageMetadata']['totalTokenCount'] ?? 0, |
| 736 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 737 |
]; |
| 738 |
} |
| 739 |
|
| 740 |
/** |
| 741 |
* Parse homepage hero optimization response |
| 742 |
* |
| 743 |
* @param array $response Gemini API response |
| 744 |
* @return array Parsed optimization data |
| 745 |
* @throws \Exception If parsing fails |
| 746 |
*/ |
| 747 |
private function parse_homepage_hero_response(array $response): array { |
| 748 |
if (!isset($response['candidates'][0]['content']['parts'][0]['text'])) { |
| 749 |
// Check if content was blocked by safety filters |
| 750 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'SAFETY') { |
| 751 |
throw new \Exception('Content was blocked by Gemini safety filters. Please try rephrasing your request.'); |
| 752 |
} |
| 753 |
// Check if response was truncated due to token limit |
| 754 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'MAX_TOKENS') { |
| 755 |
throw new \Exception('Gemini response was truncated due to token limit. Please try a shorter request or increase token limit.'); |
| 756 |
} |
| 757 |
// Check if there are no candidates |
| 758 |
if (!isset($response['candidates']) || empty($response['candidates'])) { |
| 759 |
throw new \Exception('No response candidates from Gemini. The request may have been filtered.'); |
| 760 |
} |
| 761 |
// Check if content exists but parts are missing |
| 762 |
if (isset($response['candidates'][0]['content']) && !isset($response['candidates'][0]['content']['parts'])) { |
| 763 |
throw new \Exception('Gemini response missing content parts. The response may be incomplete.'); |
| 764 |
} |
| 765 |
throw new \Exception('Invalid response format from Gemini'); |
| 766 |
} |
| 767 |
|
| 768 |
$content = trim($response['candidates'][0]['content']['parts'][0]['text']); |
| 769 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 770 |
|
| 771 |
// Extract JSON from response |
| 772 |
$json_start = strpos($content, '{'); |
| 773 |
$json_end = strrpos($content, '}'); |
| 774 |
|
| 775 |
if (false === $json_start || false === $json_end) { |
| 776 |
throw new \Exception('No valid JSON found in Gemini response'); |
| 777 |
} |
| 778 |
|
| 779 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 780 |
$data = json_decode($json_content, true); |
| 781 |
|
| 782 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 783 |
throw new \Exception('Invalid JSON in Gemini response: ' . esc_html(json_last_error_msg())); |
| 784 |
} |
| 785 |
|
| 786 |
return [ |
| 787 |
'optimized_data' => $data['optimized_data'] ?? [], |
| 788 |
'analysis' => sanitize_textarea_field($data['analysis'] ?? ''), |
| 789 |
'suggestions' => array_map('sanitize_text_field', $data['suggestions'] ?? []), |
| 790 |
'score' => absint($data['score'] ?? 0), |
| 791 |
'generated_at' => current_time('mysql'), |
| 792 |
'provider' => 'gemini', |
| 793 |
'model' => $this->model, |
| 794 |
'tokens_used' => $response['usageMetadata']['totalTokenCount'] ?? 0, |
| 795 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 796 |
]; |
| 797 |
} |
| 798 |
|
| 799 |
/** |
| 800 |
* Parse LLMs.txt optimization response |
| 801 |
* |
| 802 |
* @param array $response Gemini API response |
| 803 |
* @return array Parsed optimization data |
| 804 |
* @throws \Exception If parsing fails |
| 805 |
*/ |
| 806 |
private function parse_llms_txt_response(array $response): array { |
| 807 |
if (!isset($response['candidates'][0]['content']['parts'][0]['text'])) { |
| 808 |
// Check if content was blocked by safety filters |
| 809 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'SAFETY') { |
| 810 |
throw new \Exception('Content was blocked by Gemini safety filters. Please try rephrasing your request.'); |
| 811 |
} |
| 812 |
// Check if response was truncated due to token limit |
| 813 |
if (isset($response['candidates'][0]['finishReason']) && $response['candidates'][0]['finishReason'] === 'MAX_TOKENS') { |
| 814 |
throw new \Exception('Gemini response was truncated due to token limit. Please try a shorter request or increase token limit.'); |
| 815 |
} |
| 816 |
// Check if there are no candidates |
| 817 |
if (!isset($response['candidates']) || empty($response['candidates'])) { |
| 818 |
throw new \Exception('No response candidates from Gemini. The request may have been filtered.'); |
| 819 |
} |
| 820 |
// Check if content exists but parts are missing |
| 821 |
if (isset($response['candidates'][0]['content']) && !isset($response['candidates'][0]['content']['parts'])) { |
| 822 |
throw new \Exception('Gemini response missing content parts. The response may be incomplete.'); |
| 823 |
} |
| 824 |
throw new \Exception('Invalid response format from Gemini'); |
| 825 |
} |
| 826 |
|
| 827 |
$content = trim($response['candidates'][0]['content']['parts'][0]['text']); |
| 828 |
$ai_text = $content; // Store the raw AI-generated text (Content Brief pattern) |
| 829 |
|
| 830 |
// Extract JSON from response |
| 831 |
$json_start = strpos($content, '{'); |
| 832 |
$json_end = strrpos($content, '}'); |
| 833 |
|
| 834 |
if (false === $json_start || false === $json_end) { |
| 835 |
throw new \Exception('No valid JSON found in Gemini response'); |
| 836 |
} |
| 837 |
|
| 838 |
$json_content = substr($content, $json_start, $json_end - $json_start + 1); |
| 839 |
$data = json_decode($json_content, true); |
| 840 |
|
| 841 |
if (json_last_error() !== JSON_ERROR_NONE) { |
| 842 |
throw new \Exception('Invalid JSON in Gemini response: ' . esc_html(json_last_error_msg())); |
| 843 |
} |
| 844 |
|
| 845 |
// Match the structure expected by AI Manager (same as OpenAI/Claude) |
| 846 |
return [ |
| 847 |
'optimized_data' => [ |
| 848 |
'site_name' => sanitize_text_field($data['optimized_data']['site_name'] ?? ''), |
| 849 |
'project_overview' => sanitize_textarea_field($data['optimized_data']['project_overview'] ?? ''), |
| 850 |
'key_features' => sanitize_textarea_field($data['optimized_data']['key_features'] ?? ''), |
| 851 |
'architecture' => sanitize_textarea_field($data['optimized_data']['architecture'] ?? ''), |
| 852 |
'development_guidelines' => sanitize_textarea_field($data['optimized_data']['development_guidelines'] ?? ''), |
| 853 |
'ai_context' => sanitize_textarea_field($data['optimized_data']['ai_context'] ?? ''), |
| 854 |
], |
| 855 |
'suggestions' => array_map('sanitize_text_field', $data['suggestions'] ?? []), |
| 856 |
'generated_at' => current_time('mysql'), |
| 857 |
'provider' => 'gemini', |
| 858 |
'model' => $this->model, |
| 859 |
'tokens_used' => $response['usageMetadata']['totalTokenCount'] ?? 0, |
| 860 |
'_ai_text' => $ai_text, // Store the raw AI-generated text (Content Brief pattern) |
| 861 |
]; |
| 862 |
} |
| 863 |
} |
| 864 |
|
