| 1 |
<?php |
| 2 |
/** |
| 3 |
* Usage Analytics REST API Endpoint |
| 4 |
* |
| 5 |
* Handles REST API endpoints for usage analytics data including AI usage, costs, and performance metrics |
| 6 |
* |
| 7 |
* @package ThinkRank\API |
| 8 |
* @since 1.0.0 |
| 9 |
*/ |
| 10 |
|
| 11 |
declare(strict_types=1); |
| 12 |
|
| 13 |
namespace ThinkRank\API; |
| 14 |
|
| 15 |
use ThinkRank\Core\Database; |
| 16 |
use ThinkRank\API\Traits\API_Cache; |
| 17 |
use WP_REST_Request; |
| 18 |
use WP_REST_Response; |
| 19 |
use WP_Error; |
| 20 |
|
| 21 |
// Prevent direct access |
| 22 |
if (!defined('ABSPATH')) { |
| 23 |
exit; |
| 24 |
} |
| 25 |
|
| 26 |
// Load API Cache trait |
| 27 |
require_once THINKRANK_PLUGIN_DIR . 'includes/api/traits/trait-api-cache.php'; |
| 28 |
|
| 29 |
/** |
| 30 |
* Usage Analytics Endpoint Class |
| 31 |
* |
| 32 |
* Provides REST API endpoints for: |
| 33 |
* - /wp-json/thinkrank/v1/analytics/overview |
| 34 |
* - /wp-json/thinkrank/v1/analytics/usage |
| 35 |
* - /wp-json/thinkrank/v1/analytics/costs |
| 36 |
* |
| 37 |
* @since 1.0.0 |
| 38 |
*/ |
| 39 |
class Usage_Analytics_Endpoint { |
| 40 |
|
| 41 |
use API_Cache; |
| 42 |
|
| 43 |
/** |
| 44 |
* Database instance |
| 45 |
* |
| 46 |
* @var Database |
| 47 |
*/ |
| 48 |
private Database $database; |
| 49 |
|
| 50 |
/** |
| 51 |
* OpenAI pricing per 1M tokens (USD) |
| 52 |
*/ |
| 53 |
private const OPENAI_PRICING = [ |
| 54 |
// GPT-5 models (official pricing from OpenAI) |
| 55 |
'gpt-5' => [ |
| 56 |
'input' => 1.25, |
| 57 |
'output' => 10.00 |
| 58 |
], |
| 59 |
'gpt-5-mini' => [ |
| 60 |
'input' => 0.25, |
| 61 |
'output' => 2.00 |
| 62 |
], |
| 63 |
'gpt-5-nano' => [ |
| 64 |
'input' => 0.05, |
| 65 |
'output' => 0.40 |
| 66 |
], |
| 67 |
// GPT-4 models |
| 68 |
'gpt-4.1' => [ |
| 69 |
'input' => 2.50, |
| 70 |
'output' => 10.00 |
| 71 |
], |
| 72 |
'gpt-4o' => [ |
| 73 |
'input' => 2.50, |
| 74 |
'output' => 10.00 |
| 75 |
], |
| 76 |
'gpt-4-turbo' => [ |
| 77 |
'input' => 10.00, |
| 78 |
'output' => 30.00 |
| 79 |
], |
| 80 |
// O3 models |
| 81 |
'o3-mini' => [ |
| 82 |
'input' => 1.25, |
| 83 |
'output' => 5.00 |
| 84 |
], |
| 85 |
// Mini models |
| 86 |
'gpt-4o-mini' => [ |
| 87 |
'input' => 0.15, |
| 88 |
'output' => 0.60 |
| 89 |
] |
| 90 |
]; |
| 91 |
|
| 92 |
/** |
| 93 |
* Claude pricing per 1M tokens (USD) |
| 94 |
* Model IDs sourced from https://docs.anthropic.com/en/docs/about-claude/models |
| 95 |
*/ |
| 96 |
private const CLAUDE_PRICING = [ |
| 97 |
// Current models (recommended) |
| 98 |
'claude-opus-5' => [ |
| 99 |
'input' => 5.00, |
| 100 |
'output' => 25.00 |
| 101 |
], |
| 102 |
'claude-opus-4-8' => [ |
| 103 |
'input' => 5.00, |
| 104 |
'output' => 25.00 |
| 105 |
], |
| 106 |
'claude-sonnet-5' => [ |
| 107 |
'input' => 3.00, |
| 108 |
'output' => 15.00 |
| 109 |
], |
| 110 |
'claude-haiku-4-5' => [ |
| 111 |
'input' => 1.00, |
| 112 |
'output' => 5.00 |
| 113 |
], |
| 114 |
// Claude 4.x models |
| 115 |
'claude-opus-4-6' => [ |
| 116 |
'input' => 5.00, |
| 117 |
'output' => 25.00 |
| 118 |
], |
| 119 |
'claude-sonnet-4-6' => [ |
| 120 |
'input' => 3.00, |
| 121 |
'output' => 15.00 |
| 122 |
], |
| 123 |
// Claude 4.5 models |
| 124 |
'claude-haiku-4-5-20251001' => [ |
| 125 |
'input' => 1.00, |
| 126 |
'output' => 5.00 |
| 127 |
], |
| 128 |
// Claude 3.5 models (legacy) |
| 129 |
'claude-3-5-sonnet-20241022' => [ |
| 130 |
'input' => 3.00, |
| 131 |
'output' => 15.00 |
| 132 |
], |
| 133 |
'claude-3-5-haiku-20241022' => [ |
| 134 |
'input' => 0.80, |
| 135 |
'output' => 4.00 |
| 136 |
], |
| 137 |
'claude-3-opus-20240229' => [ |
| 138 |
'input' => 15.00, |
| 139 |
'output' => 75.00 |
| 140 |
] |
| 141 |
]; |
| 142 |
|
| 143 |
/** |
| 144 |
* Gemini pricing per 1M tokens (USD) |
| 145 |
*/ |
| 146 |
private const GEMINI_PRICING = [ |
| 147 |
// Gemini 3.x models (tiered models use the base <=200k-token rate) |
| 148 |
'gemini-3.1-pro' => [ |
| 149 |
'input' => 2.00, |
| 150 |
'output' => 12.00 |
| 151 |
], |
| 152 |
// The id the UI offers; 3.1 Pro ships only under -preview. |
| 153 |
'gemini-3.1-pro-preview' => [ |
| 154 |
'input' => 2.00, |
| 155 |
'output' => 12.00 |
| 156 |
], |
| 157 |
'gemini-3.5-flash' => [ |
| 158 |
'input' => 1.50, |
| 159 |
'output' => 9.00 |
| 160 |
], |
| 161 |
'gemini-3.1-flash-lite' => [ |
| 162 |
'input' => 0.25, |
| 163 |
'output' => 1.50 |
| 164 |
], |
| 165 |
// Gemini 2.5 models |
| 166 |
'gemini-2.5-flash' => [ |
| 167 |
'input' => 0.30, |
| 168 |
'output' => 2.50 |
| 169 |
], |
| 170 |
'gemini-2.5-flash-lite' => [ |
| 171 |
'input' => 0.10, |
| 172 |
'output' => 0.40 |
| 173 |
], |
| 174 |
'gemini-2.5-pro' => [ |
| 175 |
'input' => 1.25, |
| 176 |
'output' => 10.00 |
| 177 |
], |
| 178 |
// Gemini 2.0 models |
| 179 |
'gemini-2.0-flash' => [ |
| 180 |
'input' => 0.10, |
| 181 |
'output' => 0.40 |
| 182 |
], |
| 183 |
// Gemini 1.5 models |
| 184 |
'gemini-1.5-flash' => [ |
| 185 |
'input' => 0.075, |
| 186 |
'output' => 0.30 |
| 187 |
], |
| 188 |
'gemini-1.5-pro' => [ |
| 189 |
'input' => 1.25, |
| 190 |
'output' => 5.00 |
| 191 |
] |
| 192 |
]; |
| 193 |
|
| 194 |
/** |
| 195 |
* OpenRouter pricing per 1M tokens (USD) |
| 196 |
* |
| 197 |
* OpenRouter passes through each upstream model's pricing; these are |
| 198 |
* representative rates for the curated model list used for cost estimates. |
| 199 |
*/ |
| 200 |
private const OPENROUTER_PRICING = [ |
| 201 |
'openai/gpt-4o-mini' => [ |
| 202 |
'input' => 0.15, |
| 203 |
'output' => 0.60 |
| 204 |
], |
| 205 |
'anthropic/claude-sonnet-5' => [ |
| 206 |
'input' => 3.00, |
| 207 |
'output' => 15.00 |
| 208 |
], |
| 209 |
'google/gemini-3.5-flash' => [ |
| 210 |
'input' => 1.50, |
| 211 |
'output' => 9.00 |
| 212 |
], |
| 213 |
// Retired upstream, kept so historical usage rows still price correctly. |
| 214 |
'anthropic/claude-3.5-sonnet' => [ |
| 215 |
'input' => 3.00, |
| 216 |
'output' => 15.00 |
| 217 |
], |
| 218 |
'google/gemini-2.0-flash-001' => [ |
| 219 |
'input' => 0.10, |
| 220 |
'output' => 0.40 |
| 221 |
], |
| 222 |
'meta-llama/llama-3.3-70b-instruct' => [ |
| 223 |
'input' => 0.12, |
| 224 |
'output' => 0.30 |
| 225 |
], |
| 226 |
'deepseek/deepseek-chat' => [ |
| 227 |
'input' => 0.14, |
| 228 |
'output' => 0.28 |
| 229 |
] |
| 230 |
]; |
| 231 |
|
| 232 |
/** |
| 233 |
* Time saved estimates per action (minutes) |
| 234 |
*/ |
| 235 |
private const TIME_SAVED_ESTIMATES = [ |
| 236 |
'seo_metadata' => 20, |
| 237 |
'content_analysis' => 15, |
| 238 |
'content_brief' => 45, |
| 239 |
'seo_score' => 10 |
| 240 |
]; |
| 241 |
|
| 242 |
/** |
| 243 |
* Constructor |
| 244 |
*/ |
| 245 |
public function __construct() { |
| 246 |
$this->database = new Database(); |
| 247 |
|
| 248 |
// Configure caching for analytics endpoints |
| 249 |
$this->set_cache_prefix('thinkrank_analytics_'); |
| 250 |
$this->set_cache_duration(600); // 10 minutes for analytics data |
| 251 |
|
| 252 |
// Set up cache invalidation hooks |
| 253 |
$this->setup_cache_invalidation(); |
| 254 |
} |
| 255 |
|
| 256 |
/** |
| 257 |
* Register REST API routes |
| 258 |
* |
| 259 |
* @return void |
| 260 |
*/ |
| 261 |
public function register_routes(): void { |
| 262 |
// Overview metrics endpoint |
| 263 |
register_rest_route('thinkrank/v1', '/analytics/overview', [ |
| 264 |
'methods' => 'GET', |
| 265 |
'callback' => [$this, 'get_overview_metrics'], |
| 266 |
'permission_callback' => [$this, 'check_permissions'], |
| 267 |
'args' => [ |
| 268 |
'period' => [ |
| 269 |
'default' => '30d', |
| 270 |
'type' => 'string', |
| 271 |
'enum' => ['7d', '30d', '90d', 'all'], |
| 272 |
'sanitize_callback' => 'sanitize_key' |
| 273 |
], |
| 274 |
'user_id' => [ |
| 275 |
'default' => 0, |
| 276 |
'type' => 'integer', |
| 277 |
'sanitize_callback' => 'absint' |
| 278 |
] |
| 279 |
] |
| 280 |
]); |
| 281 |
|
| 282 |
// Usage breakdown endpoint |
| 283 |
register_rest_route('thinkrank/v1', '/analytics/usage', [ |
| 284 |
'methods' => 'GET', |
| 285 |
'callback' => [$this, 'get_usage_breakdown'], |
| 286 |
'permission_callback' => [$this, 'check_permissions'], |
| 287 |
'args' => [ |
| 288 |
'period' => [ |
| 289 |
'default' => '30d', |
| 290 |
'type' => 'string', |
| 291 |
'enum' => ['7d', '30d', '90d', 'all'], |
| 292 |
'sanitize_callback' => 'sanitize_key' |
| 293 |
], |
| 294 |
'user_id' => [ |
| 295 |
'default' => 0, |
| 296 |
'type' => 'integer', |
| 297 |
'sanitize_callback' => 'absint' |
| 298 |
], |
| 299 |
// Declared because the handler reads them. They were validated |
| 300 |
// only by the handler's own clamping, so they had no type |
| 301 |
// coercion and did not appear in the endpoint's schema. |
| 302 |
'page' => [ |
| 303 |
'default' => 1, |
| 304 |
'type' => 'integer', |
| 305 |
'minimum' => 1, |
| 306 |
'sanitize_callback' => 'absint' |
| 307 |
], |
| 308 |
'per_page' => [ |
| 309 |
'default' => 20, |
| 310 |
'type' => 'integer', |
| 311 |
'minimum' => 10, |
| 312 |
'maximum' => 100, |
| 313 |
'sanitize_callback' => 'absint' |
| 314 |
] |
| 315 |
] |
| 316 |
]); |
| 317 |
|
| 318 |
// Cost analysis endpoint |
| 319 |
register_rest_route('thinkrank/v1', '/analytics/costs', [ |
| 320 |
'methods' => 'GET', |
| 321 |
'callback' => [$this, 'get_cost_analysis'], |
| 322 |
'permission_callback' => [$this, 'check_permissions'], |
| 323 |
'args' => [ |
| 324 |
'period' => [ |
| 325 |
'default' => '30d', |
| 326 |
'type' => 'string', |
| 327 |
'enum' => ['7d', '30d', '90d', 'all'], |
| 328 |
'sanitize_callback' => 'sanitize_key' |
| 329 |
], |
| 330 |
'provider' => [ |
| 331 |
'default' => 'all', |
| 332 |
'type' => 'string', |
| 333 |
'enum' => ['all', 'openai', 'claude', 'gemini', 'openrouter'], |
| 334 |
'sanitize_callback' => 'sanitize_key' |
| 335 |
], |
| 336 |
'user_id' => [ |
| 337 |
'default' => 0, |
| 338 |
'type' => 'integer', |
| 339 |
'sanitize_callback' => 'absint' |
| 340 |
] |
| 341 |
] |
| 342 |
]); |
| 343 |
} |
| 344 |
|
| 345 |
/** |
| 346 |
* Get overview metrics |
| 347 |
* |
| 348 |
* @param WP_REST_Request $request Request object |
| 349 |
* @return WP_REST_Response|WP_Error Response object |
| 350 |
*/ |
| 351 |
public function get_overview_metrics(WP_REST_Request $request) { |
| 352 |
$period = $request->get_param('period'); |
| 353 |
$user_id = $request->get_param('user_id') ?: get_current_user_id(); |
| 354 |
|
| 355 |
try { |
| 356 |
// Use cached response wrapper for performance |
| 357 |
$response_data = $this->cached_response( |
| 358 |
'overview_metrics', |
| 359 |
function() use ($period, $user_id) { |
| 360 |
// Get date range for queries |
| 361 |
$date_condition = $this->get_date_condition($period); |
| 362 |
|
| 363 |
// Get AI usage metrics |
| 364 |
$ai_metrics = $this->get_ai_usage_metrics($user_id, $date_condition); |
| 365 |
|
| 366 |
// Get SEO metrics |
| 367 |
$seo_metrics = $this->get_seo_metrics($user_id, $date_condition); |
| 368 |
|
| 369 |
// Get content brief metrics |
| 370 |
$brief_metrics = $this->get_content_brief_metrics($user_id, $date_condition); |
| 371 |
|
| 372 |
// Calculate costs |
| 373 |
$cost_data = $this->calculate_costs($ai_metrics['usage_data'] ?? []); |
| 374 |
|
| 375 |
// Calculate time saved |
| 376 |
$time_saved = $this->calculate_time_saved($ai_metrics['feature_breakdown'] ?? []); |
| 377 |
|
| 378 |
return [ |
| 379 |
'success' => true, |
| 380 |
'data' => [ |
| 381 |
'content_optimized' => $seo_metrics['content_optimized'], |
| 382 |
'content_optimized_change' => $seo_metrics['content_optimized_change'], |
| 383 |
'average_seo_score' => $seo_metrics['average_seo_score'], |
| 384 |
'seo_score_change' => $seo_metrics['seo_score_change'], |
| 385 |
'total_tokens' => $ai_metrics['total_tokens'], |
| 386 |
'total_cost' => $cost_data['total'], |
| 387 |
'cost_change' => $ai_metrics['cost_change'], |
| 388 |
'time_saved' => $time_saved, |
| 389 |
'time_saved_change' => $ai_metrics['time_saved_change'], |
| 390 |
'ai_actions' => $ai_metrics['total_actions'], |
| 391 |
'features_used_count' => $ai_metrics['features_used_count'], |
| 392 |
'most_used_feature' => $ai_metrics['most_used_feature'], |
| 393 |
'most_used_count' => $ai_metrics['most_used_count'], |
| 394 |
'content_briefs' => $brief_metrics['total_briefs'], |
| 395 |
'feature_breakdown' => $ai_metrics['feature_breakdown'], |
| 396 |
'provider_breakdown' => $cost_data['by_provider'] |
| 397 |
], |
| 398 |
'period' => $period, |
| 399 |
'generated_at' => current_time('c') |
| 400 |
]; |
| 401 |
}, |
| 402 |
['period' => $period], |
| 403 |
null, // Use default cache duration |
| 404 |
$user_id |
| 405 |
); |
| 406 |
|
| 407 |
return new WP_REST_Response($response_data, 200); |
| 408 |
|
| 409 |
} catch (\Exception $e) { |
| 410 |
return new WP_Error( |
| 411 |
'analytics_error', |
| 412 |
'Failed to retrieve analytics data: ' . $e->getMessage(), |
| 413 |
['status' => 500] |
| 414 |
); |
| 415 |
} |
| 416 |
} |
| 417 |
|
| 418 |
/** |
| 419 |
* Check permissions for analytics endpoints |
| 420 |
* |
| 421 |
* @param WP_REST_Request $request Request object |
| 422 |
* @return bool|WP_Error Permission result |
| 423 |
*/ |
| 424 |
public function check_permissions(WP_REST_Request $request) { |
| 425 |
// Check if user is logged in |
| 426 |
if (!is_user_logged_in()) { |
| 427 |
return new WP_Error( |
| 428 |
'not_logged_in', |
| 429 |
'You must be logged in to view analytics data.', |
| 430 |
['status' => 401] |
| 431 |
); |
| 432 |
} |
| 433 |
|
| 434 |
// Check if user can edit posts (basic content management capability) |
| 435 |
if (!current_user_can('edit_posts')) { |
| 436 |
return new WP_Error( |
| 437 |
'insufficient_permissions', |
| 438 |
'You do not have permission to view analytics data.', |
| 439 |
['status' => 403] |
| 440 |
); |
| 441 |
} |
| 442 |
|
| 443 |
// If requesting another user's data, check admin permissions |
| 444 |
$requested_user_id = $request->get_param('user_id'); |
| 445 |
if ($requested_user_id && $requested_user_id !== get_current_user_id()) { |
| 446 |
if (!current_user_can('manage_options')) { |
| 447 |
return new WP_Error( |
| 448 |
'insufficient_permissions', |
| 449 |
'You do not have permission to view other users\' analytics data.', |
| 450 |
['status' => 403] |
| 451 |
); |
| 452 |
} |
| 453 |
} |
| 454 |
|
| 455 |
return true; |
| 456 |
} |
| 457 |
|
| 458 |
/** |
| 459 |
* Bind the cache-invalidation listeners for the whole request lifecycle. |
| 460 |
* |
| 461 |
* The listeners used to be registered only by the constructor, which runs |
| 462 |
* on rest_api_init — so usage logged during cron, WP-CLI or an admin-post |
| 463 |
* request found no listener and the cached overview rode out its full TTL. |
| 464 |
* Called from API\Manager::init() on every request instead. |
| 465 |
* |
| 466 |
* @since 2.2.1 |
| 467 |
* @return void |
| 468 |
*/ |
| 469 |
public static function boot_cache_invalidation(): void { |
| 470 |
static $booted = false; |
| 471 |
|
| 472 |
if ($booted) { |
| 473 |
return; |
| 474 |
} |
| 475 |
|
| 476 |
$booted = true; |
| 477 |
|
| 478 |
// Constructing the endpoint registers the listeners; the guard in |
| 479 |
// setup_cache_invalidation() keeps a later REST construction from |
| 480 |
// double-binding them. |
| 481 |
new self(); |
| 482 |
} |
| 483 |
|
| 484 |
/** |
| 485 |
* Set up cache invalidation hooks |
| 486 |
* |
| 487 |
* @since 1.0.0 |
| 488 |
* @return void |
| 489 |
*/ |
| 490 |
private function setup_cache_invalidation(): void { |
| 491 |
// The endpoint is constructed more than once per request — once on |
| 492 |
// init via boot_cache_invalidation(), again on rest_api_init, and |
| 493 |
// potentially by callers resolving it on demand. Bind once per |
| 494 |
// request, or every event invalidates N times. |
| 495 |
// |
| 496 |
// A has_action() check cannot do this: the callback is [$this, ...] |
| 497 |
// and each construction is a different instance, so it never matches. |
| 498 |
static $bound = false; |
| 499 |
|
| 500 |
if ($bound) { |
| 501 |
return; |
| 502 |
} |
| 503 |
|
| 504 |
$bound = true; |
| 505 |
|
| 506 |
// Invalidate analytics cache when AI usage is logged |
| 507 |
add_action('thinkrank_ai_usage_logged', [$this, 'invalidate_analytics_cache']); |
| 508 |
|
| 509 |
// Invalidate analytics cache when SEO scores are updated |
| 510 |
add_action('thinkrank_seo_score_updated', [$this, 'invalidate_analytics_cache']); |
| 511 |
|
| 512 |
// Invalidate analytics cache when content briefs are created |
| 513 |
add_action('thinkrank_content_brief_created', [$this, 'invalidate_analytics_cache']); |
| 514 |
} |
| 515 |
|
| 516 |
/** |
| 517 |
* Invalidate analytics cache |
| 518 |
* |
| 519 |
* @since 1.0.0 |
| 520 |
* @return void |
| 521 |
*/ |
| 522 |
public function invalidate_analytics_cache(): void { |
| 523 |
// Clear all analytics cache entries |
| 524 |
$this->invalidate_cache_pattern('thinkrank_analytics_*'); |
| 525 |
} |
| 526 |
|
| 527 |
/** |
| 528 |
* Get the cutoff datetime string for a period. |
| 529 |
* Returns null for 'all' (no date restriction). |
| 530 |
* |
| 531 |
* @param string $period Period string |
| 532 |
* @return string|null Cutoff datetime in MySQL format, or null for all time |
| 533 |
*/ |
| 534 |
private function get_date_cutoff(string $period): ?string { |
| 535 |
switch ($period) { |
| 536 |
case '7d': |
| 537 |
$days = 7; |
| 538 |
break; |
| 539 |
case '30d': |
| 540 |
$days = 30; |
| 541 |
break; |
| 542 |
case '90d': |
| 543 |
$days = 90; |
| 544 |
break; |
| 545 |
case 'all': |
| 546 |
$days = null; |
| 547 |
break; |
| 548 |
default: |
| 549 |
$days = 30; |
| 550 |
} |
| 551 |
if ($days === null) { |
| 552 |
return null; |
| 553 |
} |
| 554 |
return gmdate('Y-m-d H:i:s', strtotime("-{$days} days")); |
| 555 |
} |
| 556 |
|
| 557 |
/** |
| 558 |
* Get date condition for SQL queries |
| 559 |
* |
| 560 |
* @deprecated Use get_date_cutoff() with parameterized queries instead. |
| 561 |
* Kept for back-compat with get_previous_period_condition() parsing. |
| 562 |
* |
| 563 |
* @param string $period Period string |
| 564 |
* @return string SQL date condition |
| 565 |
*/ |
| 566 |
private function get_date_condition(string $period): string { |
| 567 |
switch ($period) { |
| 568 |
case '7d': |
| 569 |
return "AND created_at >= DATE_SUB(NOW(), INTERVAL 7 DAY)"; |
| 570 |
case '30d': |
| 571 |
return "AND created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)"; |
| 572 |
case '90d': |
| 573 |
return "AND created_at >= DATE_SUB(NOW(), INTERVAL 90 DAY)"; |
| 574 |
case 'all': |
| 575 |
return ""; |
| 576 |
default: |
| 577 |
return "AND created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)"; |
| 578 |
} |
| 579 |
} |
| 580 |
|
| 581 |
/** |
| 582 |
* Calculate costs from usage data |
| 583 |
* |
| 584 |
* @param array $usage_data Usage data array |
| 585 |
* @return array Cost breakdown |
| 586 |
*/ |
| 587 |
private function calculate_costs(array $usage_data): array { |
| 588 |
$costs = [ |
| 589 |
'openai' => 0, |
| 590 |
'claude' => 0, |
| 591 |
'gemini' => 0, |
| 592 |
'openrouter' => 0, |
| 593 |
'total' => 0, |
| 594 |
'by_provider' => [] |
| 595 |
]; |
| 596 |
|
| 597 |
foreach ($usage_data as $usage) { |
| 598 |
$tokens = (int) $usage['tokens_used']; |
| 599 |
$provider = (string) $usage['provider']; |
| 600 |
|
| 601 |
// Unknown provider: no pricing table, so it cannot be costed. Skip |
| 602 |
// rather than let `+=` invent a key that the total below misses. |
| 603 |
if (!isset($costs[$provider])) { |
| 604 |
continue; |
| 605 |
} |
| 606 |
|
| 607 |
// Price at the model the request actually used. Reading only the |
| 608 |
// provider meant every row was costed at that provider's default |
| 609 |
// model, so this total disagreed with the per-record figures in |
| 610 |
// the Usage Breakdown tab — by 4.5x on a gpt-4o-mini workload. |
| 611 |
$metadata = !empty($usage['metadata']) ? json_decode((string) $usage['metadata'], true) : []; |
| 612 |
$model = is_array($metadata) && !empty($metadata['actual_model']) |
| 613 |
? (string) $metadata['actual_model'] |
| 614 |
: $this->get_default_model($provider); |
| 615 |
|
| 616 |
// Single source of truth for per-row pricing, shared with |
| 617 |
// get_detailed_usage_breakdown() so both tabs always agree. |
| 618 |
$costs[$provider] += $this->calculate_record_cost($provider, $tokens, $model); |
| 619 |
} |
| 620 |
|
| 621 |
$costs['total'] = $costs['openai'] + $costs['claude'] + $costs['gemini'] + $costs['openrouter']; |
| 622 |
|
| 623 |
// Report only providers that actually incurred cost. Emitting all four |
| 624 |
// unconditionally meant a site with no AI usage rendered four ranked |
| 625 |
// rows at "$0.0000 (0%)" — reading as "four providers were used and |
| 626 |
// each was free" — and made the panel's own "No provider cost data" |
| 627 |
// empty state unreachable. |
| 628 |
$costs['by_provider'] = []; |
| 629 |
foreach (['openai', 'claude', 'gemini', 'openrouter'] as $provider) { |
| 630 |
if ($costs[$provider] <= 0) { |
| 631 |
continue; |
| 632 |
} |
| 633 |
|
| 634 |
$costs['by_provider'][$provider] = [ |
| 635 |
'cost' => round($costs[$provider], 4), |
| 636 |
'percentage' => $costs['total'] > 0 |
| 637 |
? round(($costs[$provider] / $costs['total']) * 100, 1) |
| 638 |
: 0 |
| 639 |
]; |
| 640 |
} |
| 641 |
|
| 642 |
return $costs; |
| 643 |
} |
| 644 |
|
| 645 |
/** |
| 646 |
* Calculate time saved from feature usage |
| 647 |
* |
| 648 |
* @param array $feature_breakdown Feature usage breakdown |
| 649 |
* @return int Time saved in minutes |
| 650 |
*/ |
| 651 |
private function calculate_time_saved(array $feature_breakdown): int { |
| 652 |
$total_time_saved = 0; |
| 653 |
|
| 654 |
foreach ($feature_breakdown as $feature => $count) { |
| 655 |
$time_per_action = self::TIME_SAVED_ESTIMATES[$feature] ?? 15; // Default 15 minutes |
| 656 |
$total_time_saved += $count * $time_per_action; |
| 657 |
} |
| 658 |
|
| 659 |
return $total_time_saved; |
| 660 |
} |
| 661 |
|
| 662 |
/** |
| 663 |
* Get AI usage metrics from database |
| 664 |
* |
| 665 |
* @param int $user_id User ID |
| 666 |
* @param string $date_condition SQL date condition |
| 667 |
* @return array AI usage metrics |
| 668 |
*/ |
| 669 |
private function get_ai_usage_metrics(int $user_id, string $date_condition): array { |
| 670 |
global $wpdb; |
| 671 |
|
| 672 |
// Get table name and escape it properly (table names cannot be parameterized) |
| 673 |
$table_name = esc_sql($this->database->get_table('ai_usage')); |
| 674 |
|
| 675 |
$cutoff = $this->get_date_cutoff($this->resolve_period_from_condition($date_condition)); |
| 676 |
|
| 677 |
if ($cutoff !== null) { |
| 678 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching |
| 679 |
$usage_data = $wpdb->get_results( |
| 680 |
$wpdb->prepare( |
| 681 |
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- $table_name is escaped via esc_sql(). |
| 682 |
"SELECT provider, action, tokens_used, metadata, created_at FROM `{$table_name}` WHERE user_id = %d AND created_at >= %s", |
| 683 |
$user_id, |
| 684 |
$cutoff |
| 685 |
), |
| 686 |
ARRAY_A |
| 687 |
); |
| 688 |
} else { |
| 689 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching |
| 690 |
$usage_data = $wpdb->get_results( |
| 691 |
$wpdb->prepare( |
| 692 |
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- $table_name is escaped via esc_sql(). |
| 693 |
"SELECT provider, action, tokens_used, metadata, created_at FROM `{$table_name}` WHERE user_id = %d", |
| 694 |
$user_id |
| 695 |
), |
| 696 |
ARRAY_A |
| 697 |
); |
| 698 |
} |
| 699 |
|
| 700 |
if (empty($usage_data)) { |
| 701 |
// Must return the same shape as the populated path below — |
| 702 |
// get_overview_metrics() reads every key unconditionally, so a |
| 703 |
// short array here surfaces as undefined-key warnings and null |
| 704 |
// fields for any user with no AI usage yet (i.e. a fresh install). |
| 705 |
// The values mirror what the loop below produces for zero rows. |
| 706 |
// |
| 707 |
// The change fields are COMPUTED here rather than hardcoded to 0. |
| 708 |
// An empty current window does not mean "nothing changed": a user |
| 709 |
// whose usage fell from five actions last month to none this month |
| 710 |
// was shown a 0 — rendered as the same em-dash a genuinely flat |
| 711 |
// period gets — instead of the -100% that actually happened. |
| 712 |
$previous = $this->get_previous_period_data($user_id, $date_condition); |
| 713 |
|
| 714 |
return [ |
| 715 |
'total_actions' => 0, |
| 716 |
'total_tokens' => 0, |
| 717 |
'feature_breakdown' => [], |
| 718 |
'features_used_count' => 0, |
| 719 |
'most_used_feature' => '', |
| 720 |
'most_used_count' => 0, |
| 721 |
'usage_data' => [], |
| 722 |
'cost_change' => $this->calculate_percentage_change( |
| 723 |
array_key_exists('total_cost', $previous) ? $previous['total_cost'] : 0, |
| 724 |
0.0 |
| 725 |
), |
| 726 |
'time_saved_change' => $this->calculate_percentage_change( |
| 727 |
array_key_exists('time_saved', $previous) ? $previous['time_saved'] : 0, |
| 728 |
0.0 |
| 729 |
) |
| 730 |
]; |
| 731 |
} |
| 732 |
|
| 733 |
// Calculate feature breakdown and new metrics |
| 734 |
$feature_breakdown = []; |
| 735 |
$total_actions = 0; |
| 736 |
$total_tokens = 0; |
| 737 |
|
| 738 |
foreach ($usage_data as $row) { |
| 739 |
$action = $row['action']; |
| 740 |
$tokens = (int) $row['tokens_used']; |
| 741 |
|
| 742 |
if (!isset($feature_breakdown[$action])) { |
| 743 |
$feature_breakdown[$action] = 0; |
| 744 |
} |
| 745 |
$feature_breakdown[$action]++; |
| 746 |
$total_actions++; |
| 747 |
$total_tokens += $tokens; |
| 748 |
} |
| 749 |
|
| 750 |
// Calculate new metrics |
| 751 |
$features_used_count = count($feature_breakdown); |
| 752 |
|
| 753 |
// Find most used feature |
| 754 |
$most_used_feature = ''; |
| 755 |
$most_used_count = 0; |
| 756 |
foreach ($feature_breakdown as $feature => $count) { |
| 757 |
if ($count > $most_used_count) { |
| 758 |
$most_used_feature = $feature; |
| 759 |
$most_used_count = $count; |
| 760 |
} |
| 761 |
} |
| 762 |
|
| 763 |
// No success rate here on purpose. It used to be |
| 764 |
// `$total_actions > 0 ? 100 : 0` — a constant presented as a |
| 765 |
// measurement, and one that could only ever read 100% or 0%. Failed |
| 766 |
// AI calls are never written to this table, so there is nothing to |
| 767 |
// compute a rate from; the KPI card is gone until there is. |
| 768 |
|
| 769 |
// Calculate changes from previous period |
| 770 |
$previous_period_data = $this->get_previous_period_data($user_id, $date_condition); |
| 771 |
// Note the lack of `?? 0`: a null here means "no previous period", |
| 772 |
// and coalescing it to zero would turn that back into a fake 100%. |
| 773 |
$cost_change = $this->calculate_percentage_change( |
| 774 |
array_key_exists('total_cost', $previous_period_data) ? $previous_period_data['total_cost'] : 0, |
| 775 |
$this->calculate_total_cost($usage_data) |
| 776 |
); |
| 777 |
$time_saved_change = $this->calculate_percentage_change( |
| 778 |
array_key_exists('time_saved', $previous_period_data) ? $previous_period_data['time_saved'] : 0, |
| 779 |
$this->calculate_time_saved($feature_breakdown) |
| 780 |
); |
| 781 |
|
| 782 |
return [ |
| 783 |
'total_actions' => $total_actions, |
| 784 |
'total_tokens' => $total_tokens, |
| 785 |
'feature_breakdown' => $feature_breakdown, |
| 786 |
'features_used_count' => $features_used_count, |
| 787 |
'most_used_feature' => $most_used_feature, |
| 788 |
'most_used_count' => $most_used_count, |
| 789 |
'usage_data' => $usage_data, |
| 790 |
'cost_change' => $cost_change, |
| 791 |
'time_saved_change' => $time_saved_change |
| 792 |
]; |
| 793 |
} |
| 794 |
|
| 795 |
/** |
| 796 |
* Get SEO metrics from database |
| 797 |
* |
| 798 |
* @param int $user_id User ID |
| 799 |
* @param string $date_condition SQL date condition |
| 800 |
* @return array SEO metrics |
| 801 |
*/ |
| 802 |
private function get_seo_metrics(int $user_id, string $date_condition): array { |
| 803 |
global $wpdb; |
| 804 |
|
| 805 |
$table_name = esc_sql($this->database->get_table('seo_scores')); |
| 806 |
$cutoff = $this->get_date_cutoff($this->resolve_period_from_condition($date_condition)); |
| 807 |
|
| 808 |
if ($cutoff !== null) { |
| 809 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching |
| 810 |
$result = $wpdb->get_row( |
| 811 |
$wpdb->prepare( |
| 812 |
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- $table_name is escaped via esc_sql(). |
| 813 |
"SELECT COUNT(DISTINCT post_id) as content_optimized, AVG(overall_score) as average_score FROM `{$table_name}` WHERE user_id = %d AND created_at >= %s", |
| 814 |
$user_id, |
| 815 |
$cutoff |
| 816 |
), |
| 817 |
ARRAY_A |
| 818 |
); |
| 819 |
} else { |
| 820 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching |
| 821 |
$result = $wpdb->get_row( |
| 822 |
$wpdb->prepare( |
| 823 |
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- $table_name is escaped via esc_sql(). |
| 824 |
"SELECT COUNT(DISTINCT post_id) as content_optimized, AVG(overall_score) as average_score FROM `{$table_name}` WHERE user_id = %d", |
| 825 |
$user_id |
| 826 |
), |
| 827 |
ARRAY_A |
| 828 |
); |
| 829 |
} |
| 830 |
|
| 831 |
if (!$result || (int) $result['content_optimized'] === 0) { |
| 832 |
// Same reasoning as the empty branch in get_ai_usage_metrics(): |
| 833 |
// an empty current window is not "no change". A user who |
| 834 |
// optimized three posts last month and none this month should |
| 835 |
// see -100%, not the em-dash a flat period gets — and for `all` |
| 836 |
// there is no previous window, so the change is null. |
| 837 |
$previous = $this->get_previous_seo_data($user_id, $date_condition); |
| 838 |
|
| 839 |
return [ |
| 840 |
'content_optimized' => 0, |
| 841 |
'average_seo_score' => 0, |
| 842 |
'content_optimized_change' => $this->calculate_percentage_change( |
| 843 |
array_key_exists('content_optimized', $previous) ? $previous['content_optimized'] : 0, |
| 844 |
0.0 |
| 845 |
), |
| 846 |
'seo_score_change' => $this->calculate_percentage_change( |
| 847 |
array_key_exists('average_seo_score', $previous) ? $previous['average_seo_score'] : 0, |
| 848 |
0.0 |
| 849 |
) |
| 850 |
]; |
| 851 |
} |
| 852 |
|
| 853 |
// Calculate changes from previous period |
| 854 |
$previous_seo_data = $this->get_previous_seo_data($user_id, $date_condition); |
| 855 |
// As above: no `?? 0`, so a null "no previous period" survives. |
| 856 |
$content_optimized_change = $this->calculate_percentage_change( |
| 857 |
array_key_exists('content_optimized', $previous_seo_data) ? $previous_seo_data['content_optimized'] : 0, |
| 858 |
(int) $result['content_optimized'] |
| 859 |
); |
| 860 |
$seo_score_change = $this->calculate_percentage_change( |
| 861 |
array_key_exists('average_seo_score', $previous_seo_data) ? $previous_seo_data['average_seo_score'] : 0, |
| 862 |
round((float) $result['average_score'], 1) |
| 863 |
); |
| 864 |
|
| 865 |
return [ |
| 866 |
'content_optimized' => (int) $result['content_optimized'], |
| 867 |
'average_seo_score' => round((float) $result['average_score'], 1), |
| 868 |
'content_optimized_change' => $content_optimized_change, |
| 869 |
'seo_score_change' => $seo_score_change |
| 870 |
]; |
| 871 |
} |
| 872 |
|
| 873 |
/** |
| 874 |
* Get content brief metrics from database |
| 875 |
* |
| 876 |
* @param int $user_id User ID |
| 877 |
* @param string $date_condition SQL date condition |
| 878 |
* @return array Content brief metrics |
| 879 |
*/ |
| 880 |
private function get_content_brief_metrics(int $user_id, string $date_condition): array { |
| 881 |
global $wpdb; |
| 882 |
|
| 883 |
$table_name = esc_sql($this->database->get_table('content_briefs')); |
| 884 |
$cutoff = $this->get_date_cutoff($this->resolve_period_from_condition($date_condition)); |
| 885 |
|
| 886 |
if ($cutoff !== null) { |
| 887 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching |
| 888 |
$result = $wpdb->get_var( |
| 889 |
$wpdb->prepare( |
| 890 |
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- $table_name is escaped via esc_sql(). |
| 891 |
"SELECT COUNT(*) as total_briefs FROM `{$table_name}` WHERE user_id = %d AND created_at >= %s", |
| 892 |
$user_id, |
| 893 |
$cutoff |
| 894 |
) |
| 895 |
); |
| 896 |
} else { |
| 897 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching |
| 898 |
$result = $wpdb->get_var( |
| 899 |
$wpdb->prepare( |
| 900 |
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- $table_name is escaped via esc_sql(). |
| 901 |
"SELECT COUNT(*) as total_briefs FROM `{$table_name}` WHERE user_id = %d", |
| 902 |
$user_id |
| 903 |
) |
| 904 |
); |
| 905 |
} |
| 906 |
|
| 907 |
return [ |
| 908 |
'total_briefs' => (int) $result ?: 0 |
| 909 |
]; |
| 910 |
} |
| 911 |
|
| 912 |
/** |
| 913 |
* Get detailed usage breakdown |
| 914 |
* |
| 915 |
* @param WP_REST_Request $request Request object |
| 916 |
* @return WP_REST_Response|WP_Error Response object |
| 917 |
*/ |
| 918 |
public function get_usage_breakdown(WP_REST_Request $request) { |
| 919 |
try { |
| 920 |
// Mirrors get_overview_metrics(). The two endpoints declared the |
| 921 |
// same `user_id` argument but only overview honoured it, so the |
| 922 |
// same query string described two different users depending on |
| 923 |
// which one you asked. check_permissions() already requires |
| 924 |
// manage_options before another user's id is accepted. |
| 925 |
$user_id = $request->get_param('user_id') ?: get_current_user_id(); |
| 926 |
$period = $request->get_param('period') ?? '30d'; |
| 927 |
// `(int)` binds tighter than `??`, so `(int) null` is 0 and the |
| 928 |
// `?? 20` fallback was unreachable — per_page silently defaulted to |
| 929 |
// the max(10, 0) floor of 10 rather than the 20 it advertises, and |
| 930 |
// page to max(1, 0) = 1 by luck rather than intent (#394). |
| 931 |
$page = max(1, (int) ($request->get_param('page') ?? 1)); |
| 932 |
$per_page = min(100, max(10, (int) ($request->get_param('per_page') ?? 20))); |
| 933 |
$offset = ($page - 1) * $per_page; |
| 934 |
|
| 935 |
// Get date range for queries |
| 936 |
$date_condition = $this->get_date_condition($period); |
| 937 |
|
| 938 |
// Get detailed usage breakdown |
| 939 |
$usage_data = $this->get_detailed_usage_breakdown($user_id, $date_condition, $per_page, $offset); |
| 940 |
$total_records = $this->get_usage_breakdown_count($user_id, $date_condition); |
| 941 |
|
| 942 |
return new WP_REST_Response([ |
| 943 |
'success' => true, |
| 944 |
'data' => [ |
| 945 |
'usage_records' => $usage_data, |
| 946 |
'pagination' => [ |
| 947 |
'page' => $page, |
| 948 |
'per_page' => $per_page, |
| 949 |
'total_records' => $total_records, |
| 950 |
// (int) so it serialises as 2, not 2.0. |
| 951 |
'total_pages' => $per_page > 0 ? (int) ceil($total_records / $per_page) : 0 |
| 952 |
], |
| 953 |
'period' => $period |
| 954 |
] |
| 955 |
], 200); |
| 956 |
|
| 957 |
} catch (\Exception $e) { |
| 958 |
return new WP_Error( |
| 959 |
'usage_breakdown_failed', |
| 960 |
'Failed to get usage breakdown: ' . $e->getMessage(), |
| 961 |
['status' => 500] |
| 962 |
); |
| 963 |
} |
| 964 |
} |
| 965 |
|
| 966 |
/** |
| 967 |
* Get cost analysis (placeholder for Phase 2) |
| 968 |
* |
| 969 |
* @param WP_REST_Request $request Request object |
| 970 |
* @return WP_REST_Response|WP_Error Response object |
| 971 |
*/ |
| 972 |
public function get_cost_analysis(WP_REST_Request $request) { |
| 973 |
// Return 200 with success:false so the frontend can render an |
| 974 |
// "unavailable" state — apiFetch rejects on non-2xx, which would |
| 975 |
// otherwise surface as a generic hard error. |
| 976 |
return new WP_REST_Response([ |
| 977 |
'success' => false, |
| 978 |
'data' => null, |
| 979 |
'message' => 'Cost analysis is not yet implemented.' |
| 980 |
], 200); |
| 981 |
} |
| 982 |
|
| 983 |
/** |
| 984 |
* Calculate total cost from usage data |
| 985 |
* |
| 986 |
* @param array $usage_data Usage data array |
| 987 |
* @return float Total cost |
| 988 |
*/ |
| 989 |
private function calculate_total_cost(array $usage_data): float { |
| 990 |
$cost_data = $this->calculate_costs($usage_data); |
| 991 |
return $cost_data['total']; |
| 992 |
} |
| 993 |
|
| 994 |
/** |
| 995 |
* Calculate percentage change between two values |
| 996 |
* |
| 997 |
* @param float $old_value Previous period value |
| 998 |
* @param float $new_value Current period value |
| 999 |
* @return float Percentage change |
| 1000 |
*/ |
| 1001 |
private function calculate_percentage_change($old_value, float $new_value): ?float { |
| 1002 |
// No previous period at all (the 'all' range). |
| 1003 |
if (null === $old_value) { |
| 1004 |
return null; |
| 1005 |
} |
| 1006 |
|
| 1007 |
if ((float) $old_value === 0.0) { |
| 1008 |
// Growth from nothing has no percentage. Reporting a flat 100% |
| 1009 |
// dressed it up as a measured change; null lets the UI say "new" |
| 1010 |
// (or say nothing) instead of inventing a number. |
| 1011 |
return $new_value > 0 ? null : 0.0; |
| 1012 |
} |
| 1013 |
|
| 1014 |
return round((($new_value - (float) $old_value) / (float) $old_value) * 100, 1); |
| 1015 |
} |
| 1016 |
|
| 1017 |
/** |
| 1018 |
* Get previous period data for comparison |
| 1019 |
* |
| 1020 |
* @param int $user_id User ID |
| 1021 |
* @param string $current_date_condition Current period date condition |
| 1022 |
* @return array Previous period data |
| 1023 |
*/ |
| 1024 |
private function get_previous_period_data(int $user_id, string $current_date_condition): array { |
| 1025 |
global $wpdb; |
| 1026 |
|
| 1027 |
// Get table name and escape it properly (table names cannot be parameterized) |
| 1028 |
$table_name = esc_sql($this->database->get_table('ai_usage')); |
| 1029 |
|
| 1030 |
// Extract the interval from current date condition to calculate previous period |
| 1031 |
$previous_date_condition = $this->get_previous_period_condition($current_date_condition); |
| 1032 |
|
| 1033 |
// No preceding window: report "not comparable" rather than querying a |
| 1034 |
// made-up one. |
| 1035 |
if (null === $previous_date_condition) { |
| 1036 |
return ['total_cost' => null, 'time_saved' => null]; |
| 1037 |
} |
| 1038 |
|
| 1039 |
// Prepare and execute query with proper parameter binding to prevent SQL injection |
| 1040 |
// phpcs:disable WordPress.DB.PreparedSQL.InterpolatedNotPrepared -- Table name is properly escaped, date condition is from controlled source |
| 1041 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching, PluginCheck.Security.DirectDB.UnescapedDBParameter -- Analytics data is real-time and shouldn't be cached |
| 1042 |
$usage_data = $wpdb->get_results( |
| 1043 |
$wpdb->prepare(" |
| 1044 |
SELECT |
| 1045 |
provider, |
| 1046 |
action, |
| 1047 |
tokens_used, |
| 1048 |
metadata |
| 1049 |
FROM `{$table_name}` |
| 1050 |
WHERE user_id = %d |
| 1051 |
{$previous_date_condition} |
| 1052 |
", $user_id), |
| 1053 |
ARRAY_A |
| 1054 |
); |
| 1055 |
// phpcs:enable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 1056 |
|
| 1057 |
if (empty($usage_data)) { |
| 1058 |
return ['total_cost' => 0, 'time_saved' => 0]; |
| 1059 |
} |
| 1060 |
|
| 1061 |
// Calculate feature breakdown for time saved |
| 1062 |
$feature_breakdown = []; |
| 1063 |
foreach ($usage_data as $row) { |
| 1064 |
$action = $row['action']; |
| 1065 |
if (!isset($feature_breakdown[$action])) { |
| 1066 |
$feature_breakdown[$action] = 0; |
| 1067 |
} |
| 1068 |
$feature_breakdown[$action]++; |
| 1069 |
} |
| 1070 |
|
| 1071 |
return [ |
| 1072 |
'total_cost' => $this->calculate_total_cost($usage_data), |
| 1073 |
'time_saved' => $this->calculate_time_saved($feature_breakdown) |
| 1074 |
]; |
| 1075 |
} |
| 1076 |
|
| 1077 |
/** |
| 1078 |
* Get detailed usage breakdown with pagination |
| 1079 |
* |
| 1080 |
* @param int $user_id User ID |
| 1081 |
* @param string $date_condition SQL date condition |
| 1082 |
* @param int $limit Number of records to return |
| 1083 |
* @param int $offset Offset for pagination |
| 1084 |
* @return array Detailed usage records |
| 1085 |
*/ |
| 1086 |
private function get_detailed_usage_breakdown(int $user_id, string $date_condition, int $limit, int $offset): array { |
| 1087 |
global $wpdb; |
| 1088 |
|
| 1089 |
$table_name = esc_sql($this->database->get_table('ai_usage')); |
| 1090 |
|
| 1091 |
$sql = " |
| 1092 |
SELECT |
| 1093 |
id, |
| 1094 |
provider, |
| 1095 |
action, |
| 1096 |
tokens_used, |
| 1097 |
post_id, |
| 1098 |
metadata, |
| 1099 |
created_at |
| 1100 |
FROM `{$table_name}` |
| 1101 |
WHERE user_id = %d |
| 1102 |
{$date_condition} |
| 1103 |
ORDER BY created_at DESC |
| 1104 |
LIMIT %d OFFSET %d |
| 1105 |
"; |
| 1106 |
|
| 1107 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching, WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- Analytics data is real-time, table name and date condition are validated internally |
| 1108 |
$usage_data = $wpdb->get_results( |
| 1109 |
// phpcs:ignore WordPress.DB.PreparedSQL.NotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- SQL is properly prepared with placeholders |
| 1110 |
$wpdb->prepare($sql, $user_id, $limit, $offset), |
| 1111 |
ARRAY_A |
| 1112 |
); |
| 1113 |
|
| 1114 |
// Process and enrich the data |
| 1115 |
$processed_data = []; |
| 1116 |
foreach ($usage_data as $record) { |
| 1117 |
$metadata = !empty($record['metadata']) ? json_decode($record['metadata'], true) : []; |
| 1118 |
$model = $metadata['actual_model'] ?? $this->get_default_model($record['provider']); |
| 1119 |
$cost = $this->calculate_record_cost($record['provider'], (int) $record['tokens_used'], $model); |
| 1120 |
|
| 1121 |
$processed_data[] = [ |
| 1122 |
'id' => (int) $record['id'], |
| 1123 |
'provider' => $record['provider'], |
| 1124 |
'model' => $model, |
| 1125 |
'action' => $record['action'], |
| 1126 |
'tokens_used' => (int) $record['tokens_used'], |
| 1127 |
'estimated_cost' => $cost, |
| 1128 |
'post_id' => $record['post_id'] ? (int) $record['post_id'] : null, |
| 1129 |
'created_at' => $record['created_at'], |
| 1130 |
'formatted_date' => wp_date('M j, Y g:i A', strtotime($record['created_at'])) |
| 1131 |
]; |
| 1132 |
} |
| 1133 |
|
| 1134 |
return $processed_data; |
| 1135 |
} |
| 1136 |
|
| 1137 |
/** |
| 1138 |
* Get total count of usage records for pagination |
| 1139 |
* |
| 1140 |
* @param int $user_id User ID |
| 1141 |
* @param string $date_condition SQL date condition |
| 1142 |
* @return int Total record count |
| 1143 |
*/ |
| 1144 |
private function get_usage_breakdown_count(int $user_id, string $date_condition): int { |
| 1145 |
global $wpdb; |
| 1146 |
|
| 1147 |
$table_name = esc_sql($this->database->get_table('ai_usage')); |
| 1148 |
|
| 1149 |
$sql = " |
| 1150 |
SELECT COUNT(*) |
| 1151 |
FROM `{$table_name}` |
| 1152 |
WHERE user_id = %d |
| 1153 |
{$date_condition} |
| 1154 |
"; |
| 1155 |
|
| 1156 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching, WordPress.DB.PreparedSQL.InterpolatedNotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- Analytics data is real-time, table name and date condition are validated internally |
| 1157 |
$count = $wpdb->get_var( |
| 1158 |
// phpcs:ignore WordPress.DB.PreparedSQL.NotPrepared, PluginCheck.Security.DirectDB.UnescapedDBParameter -- SQL is properly prepared with placeholders |
| 1159 |
$wpdb->prepare($sql, $user_id) |
| 1160 |
); |
| 1161 |
|
| 1162 |
return (int) $count; |
| 1163 |
} |
| 1164 |
|
| 1165 |
/** |
| 1166 |
* Calculate cost for a single record using the robust pricing helper |
| 1167 |
* |
| 1168 |
* @param string $provider AI provider |
| 1169 |
* @param int $tokens_used Number of tokens used |
| 1170 |
* @param string $model Optional specific model name |
| 1171 |
* @return float Estimated cost |
| 1172 |
*/ |
| 1173 |
private function calculate_record_cost(string $provider, int $tokens_used, string $model = ''): float { |
| 1174 |
// Get pricing using the robust helper method |
| 1175 |
$pricing = $this->get_model_pricing($provider, $model); |
| 1176 |
|
| 1177 |
if (!$pricing) { |
| 1178 |
return 0.0; |
| 1179 |
} |
| 1180 |
|
| 1181 |
// Estimate 70% input, 30% output tokens |
| 1182 |
$input_tokens = $tokens_used * 0.7; |
| 1183 |
$output_tokens = $tokens_used * 0.3; |
| 1184 |
|
| 1185 |
return (($input_tokens / 1000000) * $pricing['input']) + |
| 1186 |
(($output_tokens / 1000000) * $pricing['output']); |
| 1187 |
} |
| 1188 |
|
| 1189 |
/** |
| 1190 |
* Get pricing for any model with intelligent fallbacks |
| 1191 |
* |
| 1192 |
* @param string $provider AI provider |
| 1193 |
* @param string $model Model name (optional) |
| 1194 |
* @return array|null Pricing array with 'input' and 'output' keys, or null if not found |
| 1195 |
*/ |
| 1196 |
private function get_model_pricing(string $provider, string $model = ''): ?array { |
| 1197 |
switch ($provider) { |
| 1198 |
case 'openai': |
| 1199 |
// Try specific model first, fallback to default |
| 1200 |
if ($model && isset(self::OPENAI_PRICING[$model])) { |
| 1201 |
return self::OPENAI_PRICING[$model]; |
| 1202 |
} |
| 1203 |
return self::OPENAI_PRICING['gpt-4o'] ?? null; |
| 1204 |
|
| 1205 |
case 'claude': |
| 1206 |
// Try specific model first, fallback to recommended default |
| 1207 |
if ($model && isset(self::CLAUDE_PRICING[$model])) { |
| 1208 |
return self::CLAUDE_PRICING[$model]; |
| 1209 |
} |
| 1210 |
return self::CLAUDE_PRICING['claude-sonnet-5'] ?? |
| 1211 |
self::CLAUDE_PRICING['claude-sonnet-4-6'] ?? null; |
| 1212 |
|
| 1213 |
case 'gemini': |
| 1214 |
// Try specific model first, fallback to default |
| 1215 |
if ($model && isset(self::GEMINI_PRICING[$model])) { |
| 1216 |
return self::GEMINI_PRICING[$model]; |
| 1217 |
} |
| 1218 |
return self::GEMINI_PRICING['gemini-3.5-flash'] ?? null; |
| 1219 |
|
| 1220 |
case 'openrouter': |
| 1221 |
// Try specific model first, fallback to default |
| 1222 |
if ($model && isset(self::OPENROUTER_PRICING[$model])) { |
| 1223 |
return self::OPENROUTER_PRICING[$model]; |
| 1224 |
} |
| 1225 |
return self::OPENROUTER_PRICING['openai/gpt-4o-mini'] ?? null; |
| 1226 |
|
| 1227 |
default: |
| 1228 |
return null; |
| 1229 |
} |
| 1230 |
} |
| 1231 |
|
| 1232 |
/** |
| 1233 |
* Get default model for provider using proper aliases |
| 1234 |
* |
| 1235 |
* @param string $provider AI provider |
| 1236 |
* @return string Default model name |
| 1237 |
*/ |
| 1238 |
private function get_default_model(string $provider): string { |
| 1239 |
switch ($provider) { |
| 1240 |
case 'openai': |
| 1241 |
return \ThinkRank\Core\Settings::DEFAULT_OPENAI_MODEL; |
| 1242 |
case 'claude': |
| 1243 |
return \ThinkRank\Core\Settings::DEFAULT_CLAUDE_MODEL; |
| 1244 |
case 'gemini': |
| 1245 |
return \ThinkRank\Core\Settings::DEFAULT_GEMINI_MODEL; |
| 1246 |
case 'openrouter': |
| 1247 |
return \ThinkRank\Core\Settings::DEFAULT_OPENROUTER_MODEL; |
| 1248 |
default: |
| 1249 |
return 'unknown'; |
| 1250 |
} |
| 1251 |
} |
| 1252 |
|
| 1253 |
/** |
| 1254 |
* Get previous SEO data for comparison |
| 1255 |
* |
| 1256 |
* @param int $user_id User ID |
| 1257 |
* @param string $current_date_condition Current period date condition |
| 1258 |
* @return array Previous SEO data |
| 1259 |
*/ |
| 1260 |
private function get_previous_seo_data(int $user_id, string $current_date_condition): array { |
| 1261 |
global $wpdb; |
| 1262 |
|
| 1263 |
// Get table name and escape it properly (table names cannot be parameterized) |
| 1264 |
$table_name = esc_sql($this->database->get_table('seo_scores')); |
| 1265 |
|
| 1266 |
$previous_date_condition = $this->get_previous_period_condition($current_date_condition); |
| 1267 |
|
| 1268 |
// See get_previous_period_data(): no preceding window, no comparison. |
| 1269 |
if (null === $previous_date_condition) { |
| 1270 |
return ['content_optimized' => null, 'average_seo_score' => null]; |
| 1271 |
} |
| 1272 |
|
| 1273 |
// Prepare and execute query with proper parameter binding to prevent SQL injection |
| 1274 |
// phpcs:disable WordPress.DB.PreparedSQL.InterpolatedNotPrepared -- Table name is properly escaped, date condition is from controlled source |
| 1275 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching, PluginCheck.Security.DirectDB.UnescapedDBParameter -- Analytics data is real-time and shouldn't be cached |
| 1276 |
$result = $wpdb->get_row( |
| 1277 |
$wpdb->prepare(" |
| 1278 |
SELECT |
| 1279 |
COUNT(DISTINCT post_id) as content_optimized, |
| 1280 |
AVG(overall_score) as average_score |
| 1281 |
FROM `{$table_name}` |
| 1282 |
WHERE user_id = %d |
| 1283 |
{$previous_date_condition} |
| 1284 |
", $user_id), |
| 1285 |
ARRAY_A |
| 1286 |
); |
| 1287 |
// phpcs:enable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 1288 |
|
| 1289 |
if (!$result) { |
| 1290 |
return ['content_optimized' => 0, 'average_seo_score' => 0]; |
| 1291 |
} |
| 1292 |
|
| 1293 |
return [ |
| 1294 |
'content_optimized' => (int) $result['content_optimized'], |
| 1295 |
'average_seo_score' => round((float) $result['average_score'], 1) |
| 1296 |
]; |
| 1297 |
} |
| 1298 |
|
| 1299 |
/** |
| 1300 |
* Resolve a period key from a legacy SQL date condition string. |
| 1301 |
* Used internally so the new parameterized helpers can derive the period. |
| 1302 |
* |
| 1303 |
* @param string $condition Legacy date condition string |
| 1304 |
* @return string Period key |
| 1305 |
*/ |
| 1306 |
private function resolve_period_from_condition(string $condition): string { |
| 1307 |
if (strpos($condition, 'INTERVAL 7') !== false) { return '7d'; |
| 1308 |
} |
| 1309 |
if (strpos($condition, 'INTERVAL 30') !== false) { return '30d'; |
| 1310 |
} |
| 1311 |
if (strpos($condition, 'INTERVAL 90') !== false) { return '90d'; |
| 1312 |
} |
| 1313 |
if (empty(trim($condition))) { return 'all'; |
| 1314 |
} |
| 1315 |
return '30d'; |
| 1316 |
} |
| 1317 |
|
| 1318 |
/** |
| 1319 |
* Convert current period condition to previous period condition |
| 1320 |
* |
| 1321 |
* Returns null when there is no preceding window to compare against. |
| 1322 |
* `all` produces an empty date condition, which used to fall through to a |
| 1323 |
* hardcoded 30–60 day fallback — so "all time" was compared against an |
| 1324 |
* arbitrary month and reported a large, meaningless increase. "No |
| 1325 |
* comparison" is now representable instead of being a parse failure. |
| 1326 |
* |
| 1327 |
* @param string $current_condition Current period SQL condition |
| 1328 |
* @return string|null Previous period SQL condition, or null when none exists |
| 1329 |
*/ |
| 1330 |
private function get_previous_period_condition(string $current_condition): ?string { |
| 1331 |
// Extract interval from conditions like "AND created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)" |
| 1332 |
if (preg_match('/INTERVAL (\d+) (\w+)/', $current_condition, $matches)) { |
| 1333 |
$interval = (int) $matches[1]; |
| 1334 |
$unit = $matches[2]; |
| 1335 |
|
| 1336 |
// Calculate previous period: if current is last 30 days, previous is 30-60 days ago |
| 1337 |
$start_interval = $interval * 2; |
| 1338 |
$end_interval = $interval; |
| 1339 |
|
| 1340 |
return "AND created_at >= DATE_SUB(NOW(), INTERVAL {$start_interval} {$unit}) |
| 1341 |
AND created_at < DATE_SUB(NOW(), INTERVAL {$end_interval} {$unit})"; |
| 1342 |
} |
| 1343 |
|
| 1344 |
// No interval means no window — 'all'. Comparing every record ever |
| 1345 |
// against a fabricated 30-day slice is not a trend. |
| 1346 |
return null; |
| 1347 |
} |
| 1348 |
} |
| 1349 |
|
