2022-11-27 15:03:07 +00:00
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<?php
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/**
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* Reports functions.
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*
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* @package EDD
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* @subpackage Admin/Reports
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* @copyright Copyright (c) 2018, Easy Digital Downloads, LLC
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* @license http://opensource.org/licenses/gpl-2.0.php GNU Public License
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* @since 1.0
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* @since 3.0 Full refactor of Reports.
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*/
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use EDD\Reports;
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// Exit if accessed directly.
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defined( 'ABSPATH' ) || exit;
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/**
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* The callback function which fetches the data for the overview_sales_earnings_chart reports endpoint.
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*
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* @since 3.0
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*/
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function edd_overview_sales_earnings_chart() {
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global $wpdb;
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2023-06-05 11:21:17 +00:00
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$dates = Reports\get_dates_filter( 'objects' );
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$chart_dates = Reports\parse_dates_for_range( null, 'now', false );
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$column = Reports\get_taxes_excluded_filter() ? '(total - tax)' : 'total';
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$currency = Reports\get_filter_value( 'currencies' );
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$period = Reports\get_graph_period();
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2022-11-27 15:03:07 +00:00
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if ( empty( $currency ) || 'convert' === $currency ) {
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$column .= ' / rate';
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}
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2023-06-05 11:21:17 +00:00
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$sql_clauses = Reports\get_sql_clauses( $period );
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2022-11-27 15:03:07 +00:00
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if ( ! empty( $currency ) && array_key_exists( strtoupper( $currency ), edd_get_currencies() ) ) {
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$sql_clauses['where'] = $wpdb->prepare( " AND currency = %s ", strtoupper( $currency ) );
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}
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// Revenue calculations should include gross statuses to negate refunds properly.
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$statuses = edd_get_gross_order_statuses();
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$statuses = apply_filters( 'edd_payment_stats_post_statuses', $statuses );
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$statuses = "'" . implode( "', '", $statuses ) . "'";
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$earnings_results = $wpdb->get_results(
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$wpdb->prepare(
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"SELECT SUM({$column}) AS earnings, {$sql_clauses['select']}
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FROM {$wpdb->edd_orders} edd_o
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WHERE date_created >= %s AND date_created <= %s
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AND status IN( {$statuses} )
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AND type IN ( 'sale', 'refund' )
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{$sql_clauses['where']}
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GROUP BY {$sql_clauses['groupby']}
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ORDER BY {$sql_clauses['orderby']} ASC",
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$dates['start']->copy()->format( 'mysql' ),
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$dates['end']->copy()->format( 'mysql' )
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)
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);
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// Sales counts should count by 'net' statuses, which excludes refunds.
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$statuses = edd_get_net_order_statuses();
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$statuses = apply_filters( 'edd_payment_stats_post_statuses', $statuses );
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$statuses = "'" . implode( "', '", $statuses ) . "'";
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$sales_results = $wpdb->get_results(
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$wpdb->prepare(
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2023-06-05 11:21:17 +00:00
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"SELECT COUNT(*) AS sales, {$sql_clauses['select']}
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2022-11-27 15:03:07 +00:00
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FROM {$wpdb->edd_orders} edd_o
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WHERE date_created >= %s AND date_created <= %s
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AND status IN( {$statuses} )
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AND type = 'sale'
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{$sql_clauses['where']}
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GROUP BY {$sql_clauses['groupby']}
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ORDER BY {$sql_clauses['orderby']} ASC",
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$dates['start']->copy()->format( 'mysql' ),
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$dates['end']->copy()->format( 'mysql' )
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)
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);
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$sales = array();
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$earnings = array();
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/**
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* Initialise all arrays with timestamps and set values to 0.
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*
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* We use the Chart based dates for this loop, so the graph shows in the proper date ranges while the actual DB queries are all UTC based.
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*/
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while ( strtotime( $chart_dates['start']->copy()->format( 'mysql' ) ) <= strtotime( $chart_dates['end']->copy()->format( 'mysql' ) ) ) {
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$timestamp = $chart_dates['start']->copy()->format( 'U' );
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$date_on_chart = $chart_dates['start'];
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$sales[ $timestamp ][0] = $date_on_chart->format( 'Y-m-d H:i:s' );
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$sales[ $timestamp ][1] = 0;
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$earnings[ $timestamp ][0] = $date_on_chart->format( 'Y-m-d H:i:s' );
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$earnings[ $timestamp ][1] = 0.00;
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// Loop through each date there were sales/earnings, which we queried from the database.
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foreach ( $earnings_results as $earnings_result ) {
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2023-03-17 22:34:04 +00:00
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$date_of_db_value = EDD()->utils->date( $earnings_result->date );
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2022-11-27 15:03:07 +00:00
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// Add any sales/earnings that happened during this hour.
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2023-06-05 11:21:17 +00:00
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if ( 'hour' === $period ) {
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2022-11-27 15:03:07 +00:00
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m-d H' ) === $date_on_chart->format( 'Y-m-d H' ) ) {
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$earnings[ $timestamp ][1] += $earnings_result->earnings;
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}
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// Add any sales/earnings that happened during this day.
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2023-06-05 11:21:17 +00:00
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} elseif ( 'day' === $period ) {
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2022-11-27 15:03:07 +00:00
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m-d' ) === $date_on_chart->format( 'Y-m-d' ) ) {
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$earnings[ $timestamp ][1] += $earnings_result->earnings;
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}
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// Add any sales/earnings that happened during this month.
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} else {
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m' ) === $date_on_chart->format( 'Y-m' ) ) {
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$earnings[ $timestamp ][1] += $earnings_result->earnings;
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}
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}
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}
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// Loop through each date there were sales/earnings, which we queried from the database.
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foreach ( $sales_results as $sales_result ) {
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2023-03-17 22:34:04 +00:00
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$date_of_db_value = EDD()->utils->date( $sales_result->date );
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2022-11-27 15:03:07 +00:00
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// Add any sales/earnings that happened during this hour.
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2023-06-05 11:21:17 +00:00
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if ( 'hour' === $period ) {
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2022-11-27 15:03:07 +00:00
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m-d H' ) === $date_on_chart->format( 'Y-m-d H' ) ) {
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$sales[ $timestamp ][1] += $sales_result->sales;
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}
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// Add any sales/earnings that happened during this day.
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2023-06-05 11:21:17 +00:00
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} elseif ( 'day' === $period ) {
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2022-11-27 15:03:07 +00:00
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m-d' ) === $date_on_chart->format( 'Y-m-d' ) ) {
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$sales[ $timestamp ][1] += $sales_result->sales;
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}
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// Add any sales/earnings that happened during this month.
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} else {
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m' ) === $date_on_chart->format( 'Y-m' ) ) {
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$sales[ $timestamp ][1] += $sales_result->sales;
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}
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}
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}
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// Move the chart along to the next hour/day/month to get ready for the next loop.
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2023-06-05 11:21:17 +00:00
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if ( 'hour' === $period ) {
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2022-11-27 15:03:07 +00:00
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$chart_dates['start']->addHour( 1 );
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2023-06-05 11:21:17 +00:00
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} elseif ( 'day' === $period ) {
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2022-11-27 15:03:07 +00:00
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$chart_dates['start']->addDays( 1 );
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} else {
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$chart_dates['start']->addMonth( 1 );
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}
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}
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return array(
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'sales' => array_values( $sales ),
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'earnings' => array_values( $earnings ),
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);
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}
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/**
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* The callback function which fetches the data for the edd_overview_refunds_chart reports endpoint.
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*
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* @since 3.0
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*/
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function edd_overview_refunds_chart() {
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global $wpdb;
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2023-06-05 11:21:17 +00:00
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$dates = Reports\get_dates_filter( 'objects' );
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$chart_dates = Reports\parse_dates_for_range( null, 'now', false );
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$column = Reports\get_taxes_excluded_filter() ? 'total - tax' : 'total';
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$currency = Reports\get_filter_value( 'currencies' );
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$period = Reports\get_graph_period();
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$sql_clauses = Reports\get_sql_clauses( $period );
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2022-11-27 15:03:07 +00:00
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if ( empty( $currency ) || 'convert' === $currency ) {
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$column = sprintf( '(%s) / rate', $column );
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} else {
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$sql_clauses['where'] = $wpdb->prepare( " AND currency = %s ", strtoupper( $currency ) );
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}
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$results = $wpdb->get_results(
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$wpdb->prepare(
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2023-06-05 11:21:17 +00:00
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"SELECT COUNT(*) AS number, SUM({$column}) AS amount, {$sql_clauses['select']}
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2022-11-27 15:03:07 +00:00
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FROM {$wpdb->edd_orders} edd_o
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WHERE status IN (%s, %s) AND date_created >= %s AND date_created <= %s AND type = 'refund'
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{$sql_clauses['where']}
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GROUP BY {$sql_clauses['groupby']}
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ORDER BY {$sql_clauses['orderby']} ASC",
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esc_sql( 'complete' ),
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esc_sql( 'partially_refunded' ),
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$dates['start']->copy()->format( 'mysql' ),
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$dates['end']->copy()->format( 'mysql' )
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)
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);
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2023-06-05 11:21:17 +00:00
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$number = array();
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2022-11-27 15:03:07 +00:00
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$amount = array();
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// Initialise all arrays with timestamps and set values to 0.
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while ( strtotime( $chart_dates['start']->copy()->format( 'mysql' ) ) <= strtotime( $chart_dates['end']->copy()->format( 'mysql' ) ) ) {
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$timestamp = $chart_dates['start']->copy()->format( 'U' );
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$date_on_chart = $chart_dates['start'];
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$number[ $timestamp ][0] = $date_on_chart->format( 'Y-m-d H:i:s' );
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$number[ $timestamp ][1] = 0;
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$amount[ $timestamp ][0] = $date_on_chart->format( 'Y-m-d H:i:s' );
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$amount[ $timestamp ][1] = 0.00;
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// Loop through each date there were refunds, which we queried from the database.
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foreach ( $results as $result ) {
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2023-03-17 22:34:04 +00:00
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$date_of_db_value = EDD()->utils->date( $result->date );
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2022-11-27 15:03:07 +00:00
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// Add any refunds that happened during this hour.
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2023-06-05 11:21:17 +00:00
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if ( 'hour' === $period ) {
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2022-11-27 15:03:07 +00:00
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m-d H' ) === $date_on_chart->format( 'Y-m-d H' ) ) {
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$number[ $timestamp ][1] += $result->number;
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$amount[ $timestamp ][1] += abs( $result->amount );
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}
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// Add any refunds that happened during this day.
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2023-06-05 11:21:17 +00:00
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} elseif ( 'day' === $period ) {
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2022-11-27 15:03:07 +00:00
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m-d' ) === $date_on_chart->format( 'Y-m-d' ) ) {
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$number[ $timestamp ][1] += $result->number;
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$amount[ $timestamp ][1] += abs( $result->amount );
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}
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// Add any refunds that happened during this month.
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} else {
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// If the date of this db value matches the date on this line graph/chart, set the y axis value for the chart to the number in the DB result.
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if ( $date_of_db_value->format( 'Y-m' ) === $date_on_chart->format( 'Y-m' ) ) {
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$number[ $timestamp ][1] += $result->number;
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$amount[ $timestamp ][1] += abs( $result->amount );
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}
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}
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}
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// Move the chart along to the next hour/day/month to get ready for the next loop.
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2023-06-05 11:21:17 +00:00
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if ( 'hour' === $period ) {
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2022-11-27 15:03:07 +00:00
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$chart_dates['start']->addHour( 1 );
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2023-06-05 11:21:17 +00:00
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} elseif ( 'day' === $period ) {
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2022-11-27 15:03:07 +00:00
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$chart_dates['start']->addDays( 1 );
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} else {
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$chart_dates['start']->addMonth( 1 );
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}
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}
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return array(
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'number' => array_values( $number ),
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'amount' => array_values( $amount ),
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);
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}
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