| 1 |
<?php |
| 2 |
namespace BetterLinks\Traits; |
| 3 |
if ( ! defined( 'ABSPATH' ) ) { exit; } |
| 4 |
|
| 5 |
use BetterLinks\Helper; |
| 6 |
|
| 7 |
// phpcs:disable PluginCheck.Security.DirectDB, WordPress.DB.DirectDatabaseQuery, WordPress.DB.PreparedSQL |
| 8 |
|
| 9 |
trait Clicks { |
| 10 |
private static $transient_timeout = MINUTE_IN_SECONDS * 30; // 30 MINUTES |
| 11 |
|
| 12 |
/** |
| 13 |
* Get Clicks data within a certain time limit |
| 14 |
* |
| 15 |
* @param string $from The start time. |
| 16 |
* @param string $to The end time. |
| 17 |
* |
| 18 |
* @return array |
| 19 |
*/ |
| 20 |
public function get_clicks_data( $from, $to ) { |
| 21 |
$results = \BetterLinks\Helper::get_clicks_by_date( $from, $to ); |
| 22 |
return $results; |
| 23 |
} |
| 24 |
|
| 25 |
/** |
| 26 |
* Get transient key for cached analytics data |
| 27 |
* |
| 28 |
* @param string $key The unique identifier for the transient key |
| 29 |
* @param string $from The start time. |
| 30 |
* @param string $to The end time. |
| 31 |
* @param string|int $id Clicks id. |
| 32 |
* |
| 33 |
* @return string |
| 34 |
*/ |
| 35 |
private static function get_transient_key( $key, $from, $to, $id = null ) { |
| 36 |
$transient_key = str_replace( '-', '_', $from ) . '_' . str_replace( '-', '_', $to ); |
| 37 |
if ( $id ) { |
| 38 |
$transient_key .= '_' . $id; |
| 39 |
} |
| 40 |
return $key . $transient_key; |
| 41 |
} |
| 42 |
|
| 43 |
/** |
| 44 |
* Get Analytics Graph Data |
| 45 |
* |
| 46 |
* @param $from The start time. |
| 47 |
* @param $to The end time. |
| 48 |
* |
| 49 |
* @return array Array of total unique clicks and total clicks. |
| 50 |
*/ |
| 51 |
public function get_analytics_graph_data( $from, $to ) { |
| 52 |
$transient_key = self::get_transient_key( 'btl_analytics_graph_', $from, $to ); |
| 53 |
if ( $results = get_transient( $transient_key ) ) { |
| 54 |
return $results; |
| 55 |
} |
| 56 |
|
| 57 |
global $wpdb; |
| 58 |
|
| 59 |
// Get excluded IPs and build safe query |
| 60 |
$options = json_decode( get_option( BETTERLINKS_LINKS_OPTION_NAME ), true ); |
| 61 |
$excluded_ips = isset( $options['excluded_ips'] ) && is_array( $options['excluded_ips'] ) ? $options['excluded_ips'] : array(); |
| 62 |
|
| 63 |
$query_params = array( $from . ' 00:00:00', $to . ' 23:59:59' ); |
| 64 |
$where_conditions = array( 'created_at BETWEEN %s AND %s' ); |
| 65 |
|
| 66 |
if ( ! empty( $excluded_ips ) ) { |
| 67 |
$placeholders = implode( ', ', array_fill( 0, count( $excluded_ips ), '%s' ) ); |
| 68 |
$where_conditions[] = "ip NOT IN ({$placeholders})"; |
| 69 |
$query_params = array_merge( $query_params, $excluded_ips ); |
| 70 |
} |
| 71 |
|
| 72 |
$where_clause = 'WHERE ' . implode( ' AND ', $where_conditions ); |
| 73 |
|
| 74 |
// Total counts query |
| 75 |
$total_query = "SELECT count(id) as click_count, DATE(created_at) as c_date FROM {$wpdb->prefix}betterlinks_clicks |
| 76 |
{$where_clause} GROUP BY c_date ORDER BY c_date DESC"; |
| 77 |
$total_counts = $wpdb->get_results( $wpdb->prepare( $total_query, $query_params ), ARRAY_A ); |
| 78 |
|
| 79 |
// Unique counts query - use same params twice for subquery |
| 80 |
$unique_query_params = array_merge( $query_params, $query_params ); |
| 81 |
$unique_query = "SELECT count(ip) as uniq_count, T1.c_date from ( SELECT ip, DATE( created_at ) as c_date FROM {$wpdb->prefix}betterlinks_clicks |
| 82 |
{$where_clause} GROUP BY `ip`, `c_date` ) as T1 GROUP BY T1.c_date ORDER BY T1.c_date DESC"; |
| 83 |
$unique_counts = $wpdb->get_results( $wpdb->prepare( $unique_query, $unique_query_params ), ARRAY_A ); |
| 84 |
|
| 85 |
$results = array( |
| 86 |
'total_count' => $total_counts, |
| 87 |
'unique_count' => $unique_counts, |
| 88 |
); |
| 89 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 90 |
return $results; |
| 91 |
} |
| 92 |
|
| 93 |
/** |
| 94 |
* Clicks bucketed by weekday and hour, for the Timing heatmap. |
| 95 |
* |
| 96 |
* One row per (weekday, hour) bucket that had at least one click, with both |
| 97 |
* the total click count and the distinct-visitor count. `WEEKDAY()` returns |
| 98 |
* 0=Monday..6=Sunday, which matches the Mon-first grid, and `HOUR()` returns |
| 99 |
* 0..23. Empty buckets are simply absent — the client fills the full grid. |
| 100 |
* |
| 101 |
* Uses `created_at` (site-local, like the graph aggregate) so an "18:00" |
| 102 |
* bucket reads as 6pm locally rather than in UTC. |
| 103 |
* |
| 104 |
* @param string $from Start date (Y-m-d). |
| 105 |
* @param string $to End date (Y-m-d). |
| 106 |
* @return array Rows of { dow, hr, clicks, unique_clicks }. |
| 107 |
*/ |
| 108 |
public function get_analytics_timing_data( $from, $to ) { |
| 109 |
$transient_key = self::get_transient_key( 'btl_analytics_timing_', $from, $to ); |
| 110 |
if ( $results = get_transient( $transient_key ) ) { |
| 111 |
return $results; |
| 112 |
} |
| 113 |
|
| 114 |
global $wpdb; |
| 115 |
|
| 116 |
$options = json_decode( get_option( BETTERLINKS_LINKS_OPTION_NAME ), true ); |
| 117 |
$excluded_ips = isset( $options['excluded_ips'] ) && is_array( $options['excluded_ips'] ) ? $options['excluded_ips'] : array(); |
| 118 |
|
| 119 |
$query_params = array( $from . ' 00:00:00', $to . ' 23:59:59' ); |
| 120 |
$where_conditions = array( 'created_at BETWEEN %s AND %s' ); |
| 121 |
|
| 122 |
if ( ! empty( $excluded_ips ) ) { |
| 123 |
$placeholders = implode( ', ', array_fill( 0, count( $excluded_ips ), '%s' ) ); |
| 124 |
$where_conditions[] = "ip NOT IN ({$placeholders})"; |
| 125 |
$query_params = array_merge( $query_params, $excluded_ips ); |
| 126 |
} |
| 127 |
|
| 128 |
$where_clause = 'WHERE ' . implode( ' AND ', $where_conditions ); |
| 129 |
|
| 130 |
// phpcs:disable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 131 |
$query = "SELECT WEEKDAY(created_at) as dow, HOUR(created_at) as hr, COUNT(id) as clicks, COUNT(DISTINCT ip) as unique_clicks |
| 132 |
FROM {$wpdb->prefix}betterlinks_clicks {$where_clause} GROUP BY dow, hr"; |
| 133 |
$rows = $wpdb->get_results( $wpdb->prepare( $query, $query_params ), ARRAY_A ); |
| 134 |
// phpcs:enable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 135 |
|
| 136 |
$results = $rows ? $rows : array(); |
| 137 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 138 |
return $results; |
| 139 |
} |
| 140 |
|
| 141 |
/** |
| 142 |
* Audience composition for the range: human vs bot, and new vs returning. |
| 143 |
* |
| 144 |
* Both splits read columns that were only filled in from the release that |
| 145 |
* added this report, so each half reports how many rows it could actually |
| 146 |
* classify (`tracked`) alongside the counts. Clicks older than that have no |
| 147 |
* bot flag and no visitor id; they are counted in `untracked` and the client |
| 148 |
* shows the split as unavailable when nothing is classifiable. |
| 149 |
* |
| 150 |
* - bot: `bot_name` is non-empty only for detected bots. |
| 151 |
* - visitors: `click_order` is 1 on a visitor's first tracked click. |
| 152 |
* Distinct visitors are counted, not clicks, so one person browsing ten |
| 153 |
* links is one returning visitor rather than ten. |
| 154 |
* |
| 155 |
* @param string $from The start date (Y-m-d). |
| 156 |
* @param string $to The end date (Y-m-d). |
| 157 |
* |
| 158 |
* @return array { |
| 159 |
* @type array $bot { @type bool $tracked, @type int $human, @type int $bot, @type int $untracked } |
| 160 |
* @type array $visitors { @type bool $tracked, @type int $new, @type int $returning, @type int $untracked } |
| 161 |
* } |
| 162 |
*/ |
| 163 |
public function get_analytics_audience_data( $from, $to ) { |
| 164 |
$transient_key = self::get_transient_key( 'btl_analytics_audience_', $from, $to ); |
| 165 |
if ( $results = get_transient( $transient_key ) ) { |
| 166 |
return $results; |
| 167 |
} |
| 168 |
|
| 169 |
global $wpdb; |
| 170 |
|
| 171 |
$options = json_decode( get_option( BETTERLINKS_LINKS_OPTION_NAME ), true ); |
| 172 |
$excluded_ips = isset( $options['excluded_ips'] ) && is_array( $options['excluded_ips'] ) ? $options['excluded_ips'] : array(); |
| 173 |
|
| 174 |
$query_params = array( $from . ' 00:00:00', $to . ' 23:59:59' ); |
| 175 |
$where_conditions = array( 'created_at BETWEEN %s AND %s' ); |
| 176 |
|
| 177 |
if ( ! empty( $excluded_ips ) ) { |
| 178 |
$placeholders = implode( ', ', array_fill( 0, count( $excluded_ips ), '%s' ) ); |
| 179 |
$where_conditions[] = "ip NOT IN ({$placeholders})"; |
| 180 |
$query_params = array_merge( $query_params, $excluded_ips ); |
| 181 |
} |
| 182 |
|
| 183 |
$where_clause = 'WHERE ' . implode( ' AND ', $where_conditions ); |
| 184 |
$clicks_table = $wpdb->prefix . 'betterlinks_clicks'; |
| 185 |
$bot_supported = \BetterLinks\Helper::has_bot_name_column(); |
| 186 |
|
| 187 |
// Human vs bot, counted in clicks. Rows predating bot tracking have a |
| 188 |
// NULL bot_name and cannot be attributed either way. |
| 189 |
$bot = array( |
| 190 |
'tracked' => false, |
| 191 |
'human' => 0, |
| 192 |
'bot' => 0, |
| 193 |
'untracked' => 0, |
| 194 |
); |
| 195 |
|
| 196 |
if ( $bot_supported ) { |
| 197 |
// phpcs:disable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 198 |
$bot_query = "SELECT |
| 199 |
SUM( CASE WHEN bot_name IS NOT NULL AND bot_name <> '' THEN 1 ELSE 0 END ) AS bots, |
| 200 |
SUM( CASE WHEN bot_name = '' THEN 1 ELSE 0 END ) AS humans, |
| 201 |
SUM( CASE WHEN bot_name IS NULL THEN 1 ELSE 0 END ) AS untracked |
| 202 |
FROM {$clicks_table} {$where_clause}"; |
| 203 |
$bot_row = $wpdb->get_row( $wpdb->prepare( $bot_query, $query_params ), ARRAY_A ); |
| 204 |
// phpcs:enable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 205 |
|
| 206 |
if ( $bot_row ) { |
| 207 |
$bot['bot'] = (int) $bot_row['bots']; |
| 208 |
$bot['human'] = (int) $bot_row['humans']; |
| 209 |
$bot['untracked'] = (int) $bot_row['untracked']; |
| 210 |
$bot['tracked'] = ( $bot['bot'] + $bot['human'] ) > 0; |
| 211 |
} |
| 212 |
} |
| 213 |
|
| 214 |
// New vs returning, counted in distinct visitors. click_order is 1 on a |
| 215 |
// visitor's first click and 2 on later ones; 0 means the click predates |
| 216 |
// visitor tracking and cannot be classified either way. |
| 217 |
// |
| 218 |
// Each visitor is bucketed by their EARLIEST click in the range, so |
| 219 |
// someone who arrives and comes back inside the same range counts once, |
| 220 |
// as new — taking the rows at face value would count them in both halves. |
| 221 |
// phpcs:disable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 222 |
$visitor_query = "SELECT |
| 223 |
SUM( CASE WHEN first_order = 1 THEN 1 ELSE 0 END ) AS new_visitors, |
| 224 |
SUM( CASE WHEN first_order = 2 THEN 1 ELSE 0 END ) AS returning_visitors |
| 225 |
FROM ( |
| 226 |
SELECT visitor_id, MIN( click_order ) AS first_order |
| 227 |
FROM {$clicks_table} {$where_clause} AND visitor_id <> '' AND click_order > 0 |
| 228 |
GROUP BY visitor_id |
| 229 |
) AS v"; |
| 230 |
$visitor_row = $wpdb->get_row( $wpdb->prepare( $visitor_query, $query_params ), ARRAY_A ); |
| 231 |
|
| 232 |
$untracked_query = "SELECT COUNT(*) FROM {$clicks_table} {$where_clause} |
| 233 |
AND ( visitor_id IS NULL OR visitor_id = '' OR click_order = 0 )"; |
| 234 |
$untracked_count = (int) $wpdb->get_var( $wpdb->prepare( $untracked_query, $query_params ) ); |
| 235 |
// phpcs:enable WordPress.DB.PreparedSQL.InterpolatedNotPrepared |
| 236 |
|
| 237 |
$visitors = array( |
| 238 |
'tracked' => false, |
| 239 |
'new' => 0, |
| 240 |
'returning' => 0, |
| 241 |
'untracked' => 0, |
| 242 |
); |
| 243 |
|
| 244 |
$visitors['untracked'] = $untracked_count; |
| 245 |
|
| 246 |
if ( $visitor_row ) { |
| 247 |
$visitors['new'] = (int) $visitor_row['new_visitors']; |
| 248 |
$visitors['returning'] = (int) $visitor_row['returning_visitors']; |
| 249 |
$visitors['tracked'] = ( $visitors['new'] + $visitors['returning'] ) > 0; |
| 250 |
} |
| 251 |
|
| 252 |
$results = array( |
| 253 |
'bot' => $bot, |
| 254 |
'visitors' => $visitors, |
| 255 |
); |
| 256 |
|
| 257 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 258 |
return $results; |
| 259 |
} |
| 260 |
|
| 261 |
/** |
| 262 |
* Get Analytics Graph Data by Tag ID |
| 263 |
* |
| 264 |
* @param $from The start time. |
| 265 |
* @param $to The end time. |
| 266 |
* @param $tag_id The Tag ID. |
| 267 |
* |
| 268 |
* @return array Array of total unique clicks and total clicks. |
| 269 |
*/ |
| 270 |
public function get_analytics_graph_data_by_tag( $from, $to, $tag_id ) { |
| 271 |
$transient_key = self::get_transient_key( 'btl_analytics_graph_by_tag_', $from, $to, $tag_id ); |
| 272 |
if ( $results = get_transient( $transient_key ) ) { |
| 273 |
return $results; |
| 274 |
} |
| 275 |
|
| 276 |
global $wpdb; |
| 277 |
|
| 278 |
// Get excluded IPs and build safe query parameters |
| 279 |
$options = json_decode( get_option( BETTERLINKS_LINKS_OPTION_NAME ), true ); |
| 280 |
$excluded_ips = isset( $options['excluded_ips'] ) && is_array( $options['excluded_ips'] ) ? $options['excluded_ips'] : array(); |
| 281 |
|
| 282 |
$base_params = array( $tag_id, "{$from} 00:00:00", "{$to} 23:59:59" ); |
| 283 |
$where_conditions = array( "t.term_type='tags'", "t.id=%d", "c.created_at BETWEEN %s AND %s" ); |
| 284 |
|
| 285 |
if ( ! empty( $excluded_ips ) ) { |
| 286 |
$placeholders = implode( ', ', array_fill( 0, count( $excluded_ips ), '%s' ) ); |
| 287 |
$where_conditions[] = "c.ip NOT IN ({$placeholders})"; |
| 288 |
$base_params = array_merge( $base_params, $excluded_ips ); |
| 289 |
} |
| 290 |
|
| 291 |
$where_clause = implode( ' AND ', $where_conditions ); |
| 292 |
|
| 293 |
// Total counts query |
| 294 |
$total_query = "SELECT COUNT(c.id) as click_count, DATE(c.created_at) AS c_date FROM {$wpdb->prefix}betterlinks_clicks c |
| 295 |
LEFT JOIN {$wpdb->prefix}betterlinks_terms_relationships tr ON tr.link_id=c.link_id |
| 296 |
LEFT JOIN {$wpdb->prefix}betterlinks_terms t ON tr.term_id=t.id |
| 297 |
WHERE {$where_clause} |
| 298 |
GROUP BY c_date ORDER BY c_date DESC"; |
| 299 |
$total_counts = $wpdb->get_results( $wpdb->prepare( $total_query, $base_params ), ARRAY_A ); |
| 300 |
|
| 301 |
// Unique counts query - duplicate params for subquery |
| 302 |
$unique_params = array_merge( $base_params, $base_params ); |
| 303 |
$unique_query = "SELECT COUNT(ip) as uniq_count, T1.c_date FROM |
| 304 |
( SELECT ip, DATE( created_at ) AS c_date FROM {$wpdb->prefix}betterlinks_clicks c |
| 305 |
LEFT JOIN {$wpdb->prefix}betterlinks_terms_relationships tr ON c.link_id=tr.link_id |
| 306 |
LEFT JOIN {$wpdb->prefix}betterlinks_terms t ON tr.term_id=t.id |
| 307 |
WHERE {$where_clause} |
| 308 |
GROUP BY `ip`, `c_date` ) AS T1 |
| 309 |
GROUP BY T1.c_date ORDER BY T1.c_date DESC"; |
| 310 |
$unique_counts = $wpdb->get_results( $wpdb->prepare( $unique_query, $unique_params ), ARRAY_A ); |
| 311 |
|
| 312 |
$results = array( |
| 313 |
'total_count' => $total_counts, |
| 314 |
'unique_count' => $unique_counts, |
| 315 |
); |
| 316 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 317 |
return $results; |
| 318 |
} |
| 319 |
|
| 320 |
/** |
| 321 |
* Returns the unique analytics data by tag |
| 322 |
* |
| 323 |
* @return array Array of unique analytics by tag |
| 324 |
*/ |
| 325 |
public function get_analytics_unique_list_by_tag( $from, $to, $id ) { |
| 326 |
$transient_key = self::get_transient_key( 'btl_analytics_unique_list_by_tag_', $from, $to, $id ); |
| 327 |
if ( $results = get_transient( $transient_key ) ) { |
| 328 |
return $results; |
| 329 |
} |
| 330 |
|
| 331 |
global $wpdb; |
| 332 |
|
| 333 |
$query = $wpdb->prepare( |
| 334 |
"SELECT id as link_id, link_title, short_url, target_url from {$wpdb->prefix}betterlinks as links right join (select distinct link_id from {$wpdb->prefix}betterlinks_clicks where created_at between %s and %s) as clicks on clicks.link_id=links.id right join (select tr.link_id from {$wpdb->prefix}betterlinks_terms t left join {$wpdb->prefix}betterlinks_terms_relationships tr on t.ID=tr.term_id where t.term_type='tags' and t.ID=%s) tl on links.id=tl.link_id where id!=''", |
| 335 |
$from . ' 00:00:00', |
| 336 |
$to . ' 23:59:59', |
| 337 |
$id |
| 338 |
); |
| 339 |
$results = $wpdb->get_results( $query, ARRAY_A ); |
| 340 |
|
| 341 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 342 |
return $results; |
| 343 |
} |
| 344 |
|
| 345 |
/** |
| 346 |
* Returns the unique analytics clicks |
| 347 |
* |
| 348 |
* @return array Array of unique analytics |
| 349 |
*/ |
| 350 |
public function get_analytics_unique_list( $from, $to ) { |
| 351 |
$transient_key = self::get_transient_key( 'btl_analytics_unique_list_', $from, $to ); |
| 352 |
if ( $results = get_transient( $transient_key ) ) { |
| 353 |
return $results; |
| 354 |
} |
| 355 |
global $wpdb; |
| 356 |
|
| 357 |
$query = $wpdb->prepare( |
| 358 |
"SELECT id as link_id, link_title, short_url, target_url from {$wpdb->prefix}betterlinks as links right join (select distinct link_id from {$wpdb->prefix}betterlinks_clicks where created_at between %s and %s) as clicks on clicks.link_id=links.id order by links.id desc", |
| 359 |
$from . ' 00:00:00', |
| 360 |
$to . ' 23:59:59', |
| 361 |
); |
| 362 |
|
| 363 |
$results = $wpdb->get_results( $query, ARRAY_A ); |
| 364 |
|
| 365 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 366 |
return $results; |
| 367 |
} |
| 368 |
|
| 369 |
/** |
| 370 |
* Returns individual analytics clicks within a time limit |
| 371 |
* |
| 372 |
* @param int|string $id Clicks id. |
| 373 |
* @param string $from The start time. |
| 374 |
* @param string $to The end time. |
| 375 |
* |
| 376 |
* @return array Array of individual analytics clicks. |
| 377 |
*/ |
| 378 |
public function get_individual_analytics_clicks( $id, $from, $to ) { |
| 379 |
$transient_key = self::get_transient_key( 'btl_individual_analytics_clicks_', $from, $to, $id ); |
| 380 |
if ( $results = get_transient( $transient_key ) ) { |
| 381 |
return $results; |
| 382 |
} |
| 383 |
global $wpdb; |
| 384 |
|
| 385 |
$clicks_table = $wpdb->prefix . 'betterlinks_clicks'; |
| 386 |
$countries_table = $wpdb->prefix . 'betterlinks_countries'; |
| 387 |
|
| 388 |
// Get excluded IPs and build safe query parameters |
| 389 |
$options = json_decode( get_option( BETTERLINKS_LINKS_OPTION_NAME ), true ); |
| 390 |
$excluded_ips = isset( $options['excluded_ips'] ) && is_array( $options['excluded_ips'] ) ? $options['excluded_ips'] : array(); |
| 391 |
|
| 392 |
$base_params = array( $id, $from . ' 00:00:00', $to . ' 23:59:59' ); |
| 393 |
$where_conditions = array( 'c.link_id=%d', 'c.created_at BETWEEN %s AND %s' ); |
| 394 |
|
| 395 |
if ( ! empty( $excluded_ips ) ) { |
| 396 |
$placeholders = implode( ', ', array_fill( 0, count( $excluded_ips ), '%s' ) ); |
| 397 |
$where_conditions[] = "c.ip NOT IN ({$placeholders})"; |
| 398 |
$base_params = array_merge( $base_params, $excluded_ips ); |
| 399 |
} |
| 400 |
|
| 401 |
$where_clause = implode( ' AND ', $where_conditions ); |
| 402 |
|
| 403 |
// Check if extra data tracking (including country data) is enabled |
| 404 |
$is_extra_data_tracking_compatible = apply_filters( 'betterlinks/is_extra_data_tracking_compatible', false ); |
| 405 |
|
| 406 |
// Check if user_agents table exists |
| 407 |
$user_agents_table = $wpdb->prefix . 'betterlinks_user_agents'; |
| 408 |
$user_agents_table_exists = $wpdb->get_var( |
| 409 |
$wpdb->prepare( |
| 410 |
"SHOW TABLES LIKE %s", |
| 411 |
$user_agents_table |
| 412 |
) |
| 413 |
); |
| 414 |
|
| 415 |
if ( $is_extra_data_tracking_compatible ) { |
| 416 |
// Use normalized schema with JOIN to countries table (Pro version) |
| 417 |
if ( $user_agents_table_exists ) { |
| 418 |
$query_sql = "SELECT c.ID, c.link_id, c.ip, c.browser, c.referer, c.os, c.device, c.query_params, c.created_at, |
| 419 |
co.country_code, co.country_name, ua.user_agent |
| 420 |
FROM {$clicks_table} c |
| 421 |
LEFT JOIN {$countries_table} co ON c.country_id = co.id |
| 422 |
LEFT JOIN {$user_agents_table} ua ON c.user_agent_id = ua.id |
| 423 |
WHERE {$where_clause} |
| 424 |
ORDER BY c.created_at DESC"; |
| 425 |
$query = $wpdb->prepare( $query_sql, $base_params ); |
| 426 |
} else { |
| 427 |
$query_sql = "SELECT c.ID, c.link_id, c.ip, c.browser, c.referer, c.os, c.device, c.query_params, c.created_at, |
| 428 |
co.country_code, co.country_name, NULL as user_agent |
| 429 |
FROM {$clicks_table} c |
| 430 |
LEFT JOIN {$countries_table} co ON c.country_id = co.id |
| 431 |
WHERE {$where_clause} |
| 432 |
ORDER BY c.created_at DESC"; |
| 433 |
$query = $wpdb->prepare( $query_sql, $base_params ); |
| 434 |
} |
| 435 |
} else { |
| 436 |
// Basic query without country data (Free version) |
| 437 |
if ( $user_agents_table_exists ) { |
| 438 |
$query_sql = "SELECT c.ID, c.link_id, c.ip, c.browser, c.referer, c.created_at, ua.user_agent |
| 439 |
FROM {$clicks_table} c |
| 440 |
LEFT JOIN {$user_agents_table} ua ON c.user_agent_id = ua.id |
| 441 |
WHERE {$where_clause} |
| 442 |
ORDER BY c.created_at DESC"; |
| 443 |
$query = $wpdb->prepare( $query_sql, $base_params ); |
| 444 |
} else { |
| 445 |
$query_sql = "SELECT c.ID, c.link_id, c.ip, c.browser, c.referer, c.created_at, NULL as user_agent |
| 446 |
FROM {$clicks_table} c |
| 447 |
WHERE {$where_clause} |
| 448 |
ORDER BY c.created_at DESC"; |
| 449 |
$query = $wpdb->prepare( $query_sql, $base_params ); |
| 450 |
} |
| 451 |
} |
| 452 |
$results = $wpdb->get_results( $query, ARRAY_A ); |
| 453 |
|
| 454 |
// Ensure we always return an array, even if empty |
| 455 |
if ( ! is_array( $results ) ) { |
| 456 |
$results = array(); |
| 457 |
} |
| 458 |
|
| 459 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 460 |
return $results; |
| 461 |
} |
| 462 |
|
| 463 |
/** |
| 464 |
* Daily clicks series for ONE link — the same aggregate as |
| 465 |
* `get_analytics_graph_data()`, scoped to a single `link_id`. |
| 466 |
* |
| 467 |
* This is a plain COUNT/GROUP BY over the clicks table, so it needs no |
| 468 |
* extra-data tracking and belongs in free: the single-link overview reads its |
| 469 |
* "Total clicks" tile and its clicks-over-time chart from this, and without it |
| 470 |
* both read zero while the click log right below them lists the very rows the |
| 471 |
* count is missing. |
| 472 |
* |
| 473 |
* @param int|string $id Link id. |
| 474 |
* @param string $from The start time. |
| 475 |
* @param string $to The end time. |
| 476 |
* |
| 477 |
* @return array { total_count: rows of { click_count, c_date }, unique_count: rows of { uniq_count, c_date } } |
| 478 |
*/ |
| 479 |
public function get_individual_graph_data( $id, $from, $to ) { |
| 480 |
$transient_key = self::get_transient_key( 'btl_individual_graph_data_', $from, $to, $id ); |
| 481 |
if ( $results = get_transient( $transient_key ) ) { |
| 482 |
return $results; |
| 483 |
} |
| 484 |
|
| 485 |
global $wpdb; |
| 486 |
|
| 487 |
// Get excluded IPs and build safe query parameters |
| 488 |
$options = json_decode( get_option( BETTERLINKS_LINKS_OPTION_NAME ), true ); |
| 489 |
$excluded_ips = isset( $options['excluded_ips'] ) && is_array( $options['excluded_ips'] ) ? $options['excluded_ips'] : array(); |
| 490 |
|
| 491 |
$query_params = array( $id, $from . ' 00:00:00', $to . ' 23:59:59' ); |
| 492 |
$where_conditions = array( 'link_id=%d', 'created_at BETWEEN %s AND %s' ); |
| 493 |
|
| 494 |
if ( ! empty( $excluded_ips ) ) { |
| 495 |
$placeholders = implode( ', ', array_fill( 0, count( $excluded_ips ), '%s' ) ); |
| 496 |
$where_conditions[] = "ip NOT IN ({$placeholders})"; |
| 497 |
$query_params = array_merge( $query_params, $excluded_ips ); |
| 498 |
} |
| 499 |
|
| 500 |
$where_clause = 'WHERE ' . implode( ' AND ', $where_conditions ); |
| 501 |
|
| 502 |
$total_query = "SELECT count(id) as click_count, DATE(created_at) as c_date FROM {$wpdb->prefix}betterlinks_clicks |
| 503 |
{$where_clause} GROUP BY c_date ORDER BY c_date DESC"; |
| 504 |
$total_counts = $wpdb->get_results( $wpdb->prepare( $total_query, $query_params ), ARRAY_A ); |
| 505 |
|
| 506 |
// Unique counts query - the where clause sits in the subselect, so the same |
| 507 |
// params are passed once, not twice. |
| 508 |
$unique_query = "SELECT count(ip) as uniq_count, T1.c_date from ( SELECT ip, DATE( created_at ) as c_date FROM {$wpdb->prefix}betterlinks_clicks |
| 509 |
{$where_clause} GROUP BY `ip`, `c_date` ) as T1 GROUP BY T1.c_date ORDER BY T1.c_date DESC"; |
| 510 |
$unique_counts = $wpdb->get_results( $wpdb->prepare( $unique_query, $query_params ), ARRAY_A ); |
| 511 |
|
| 512 |
$results = array( |
| 513 |
'total_count' => is_array( $total_counts ) ? $total_counts : array(), |
| 514 |
'unique_count' => is_array( $unique_counts ) ? $unique_counts : array(), |
| 515 |
); |
| 516 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 517 |
return $results; |
| 518 |
} |
| 519 |
|
| 520 |
/** |
| 521 |
* Returns individual link details |
| 522 |
* |
| 523 |
* @param int|string $id link id. |
| 524 |
* |
| 525 |
* @return Object Object of individual link details. |
| 526 |
*/ |
| 527 |
public function get_individual_link_details( $id ) { |
| 528 |
global $wpdb; |
| 529 |
$query = $wpdb->prepare( |
| 530 |
"SELECT link_title, short_url, target_url FROM {$wpdb->prefix}betterlinks where id=%s", |
| 531 |
$id |
| 532 |
); |
| 533 |
return $wpdb->get_row( $query ); |
| 534 |
} |
| 535 |
|
| 536 |
private function sanitize_date( $date ){ |
| 537 |
if( empty( $date ) ){ |
| 538 |
return false; |
| 539 |
} |
| 540 |
$date = sanitize_text_field( $date ); |
| 541 |
return strtotime( $date ); |
| 542 |
} |
| 543 |
|
| 544 |
/** |
| 545 |
* Returns individual link details |
| 546 |
* |
| 547 |
* @param int|string $id link id. |
| 548 |
* |
| 549 |
* @return Object Object of individual link details. |
| 550 |
*/ |
| 551 |
public function get_unique_clicks_count($from, $to) { |
| 552 |
$transient_key = self::get_transient_key( 'btl_unique_clicks_count_', $from, $to ); |
| 553 |
if ( $results = get_transient( $transient_key ) ) { |
| 554 |
return $results; |
| 555 |
} |
| 556 |
global $wpdb; |
| 557 |
|
| 558 |
// Get excluded IPs and build safe query |
| 559 |
$options = json_decode( get_option( BETTERLINKS_LINKS_OPTION_NAME ), true ); |
| 560 |
$excluded_ips = isset( $options['excluded_ips'] ) && is_array( $options['excluded_ips'] ) ? $options['excluded_ips'] : array(); |
| 561 |
|
| 562 |
$query_params = array( $from . ' 00:00:00', $to . ' 23:59:59' ); |
| 563 |
$where_conditions = array( 'created_at BETWEEN %s AND %s' ); |
| 564 |
|
| 565 |
if ( ! empty( $excluded_ips ) ) { |
| 566 |
$placeholders = implode( ', ', array_fill( 0, count( $excluded_ips ), '%s' ) ); |
| 567 |
$where_conditions[] = "ip NOT IN ({$placeholders})"; |
| 568 |
$query_params = array_merge( $query_params, $excluded_ips ); |
| 569 |
} |
| 570 |
|
| 571 |
$where_clause = 'WHERE ' . implode( ' AND ', $where_conditions ); |
| 572 |
|
| 573 |
$query_sql = "SELECT COUNT( DISTINCT ip ) AS count FROM {$wpdb->prefix}betterlinks_clicks {$where_clause}"; |
| 574 |
$query = $wpdb->prepare( $query_sql, $query_params ); |
| 575 |
$results = $wpdb->get_row( $query, ARRAY_A ); |
| 576 |
// COUNT() normally always yields a row, but get_row() returns null on a |
| 577 |
// query error (and on an empty result set), and current( null ) is a |
| 578 |
// TypeError on PHP 8 — fatal behind the unique-clicks analytics card. |
| 579 |
$results = is_array( $results ) ? current( $results ) : 0; |
| 580 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 581 |
return $results; |
| 582 |
} |
| 583 |
|
| 584 |
public function get_analytics_data($from, $to) { |
| 585 |
$transient_key = self::get_transient_key( 'btl_analytics_data_', $from, $to ); |
| 586 |
if ( $results = get_transient( $transient_key ) ) { |
| 587 |
return $results; |
| 588 |
} |
| 589 |
|
| 590 |
$results = Helper::merge_clicks_count( Helper::get_clicks_count( $from, $to ) ); |
| 591 |
$results = wp_json_encode( $results ); |
| 592 |
set_transient( $transient_key, $results, self::$transient_timeout ); |
| 593 |
return $results; |
| 594 |
} |
| 595 |
} |
| 596 |
|
