woocommerce/plugins/woocommerce-admin/includes/data-stores/class-wc-admin-reports-orders-data-store.php

<?php
/**
 * WC_Admin_Reports_Orders_Data_Store class file.
 *
 * @package WooCommerce Admin/Classes
 */

defined( 'ABSPATH' ) || exit;

if ( ! class_exists( 'WC_Admin_Order_Stats_Background_Process', false ) ) {
	include_once WC_ADMIN_ABSPATH . '/includes/class-wc-admin-order-stats-background-process.php';
}

/**
 * WC_Admin_Reports_Orders_Data_Store.
 *
 * @version  3.5.0
 */
class WC_Admin_Reports_Orders_Data_Store extends WC_Admin_Reports_Data_Store implements WC_Admin_Reports_Data_Store_Interface {

	/**
	 * Table used to get the data.
	 *
	 * @var string
	 */
	const TABLE_NAME = 'wc_order_stats';

	/**
	 * Cron event name.
	 */
	const CRON_EVENT = 'wc_order_stats_update';

	/**
	 * Type for each column to cast values correctly later.
	 *
	 * @var array
	 */
	protected $column_types = array(
		'orders_count'            => 'intval',
		'num_items_sold'          => 'intval',
		'gross_revenue'           => 'floatval',
		'coupons'                 => 'floatval',
		'refunds'                 => 'floatval',
		'taxes'                   => 'floatval',
		'shipping'                => 'floatval',
		'net_revenue'             => 'floatval',
		'avg_items_per_order'     => 'floatval',
		'avg_order_value'         => 'floatval',
		'num_returning_customers' => 'intval',
		'num_new_customers'       => 'intval',
		'products'                => 'intval',
		'segment_id'              => 'intval',
	);

	/**
	 * SQL definition for each column.
	 *
	 * @var array
	 */
	protected $report_columns = array(
		'orders_count'            => 'COUNT(*) as orders_count',
		'num_items_sold'          => 'SUM(num_items_sold) as num_items_sold',
		'gross_revenue'           => 'SUM(gross_total) AS gross_revenue',
		'coupons'                 => 'SUM(coupon_total) AS coupons',
		'refunds'                 => 'SUM(refund_total) AS refunds',
		'taxes'                   => 'SUM(tax_total) AS taxes',
		'shipping'                => 'SUM(shipping_total) AS shipping',
		'net_revenue'             => '( SUM(net_total) - SUM(refund_total) ) AS net_revenue',
		'avg_items_per_order'     => 'AVG(num_items_sold) AS avg_items_per_order',
		'avg_order_value'         => '( SUM(net_total) - SUM(refund_total) ) / COUNT(*) AS avg_order_value',
		'num_returning_customers' => 'SUM(returning_customer = 1) AS num_returning_customers',
		'num_new_customers'       => 'SUM(returning_customer = 0) AS num_new_customers',
	);

	/**
	 * Background process to populate order stats.
	 *
	 * @var WC_Admin_Order_Stats_Background_Process
	 */
	protected static $background_process;

	/**
	 * Constructor.
	 */
	public function __construct() {
		if ( ! self::$background_process ) {
			self::$background_process = new WC_Admin_Order_Stats_Background_Process();
		}
	}

	/**
	 * Set up all the hooks for maintaining and populating table data.
	 */
	public static function init() {
		add_action( 'save_post', array( __CLASS__, 'sync_order' ) );
		// TODO: this is required as order update skips save_post.
		add_action( 'clean_post_cache', array( __CLASS__, 'sync_order' ) );
		add_action( 'woocommerce_order_refunded', array( __CLASS__, 'sync_order' ) );
		add_action( 'woocommerce_refund_deleted', array( __CLASS__, 'sync_on_refund_delete' ), 10, 2 );

		if ( ! self::$background_process ) {
			self::$background_process = new WC_Admin_Order_Stats_Background_Process();
		}
	}

	/**
	 * Updates the totals and intervals database queries with parameters used for Orders report: categories, coupons and order status.
	 *
	 * @param array $query_args      Query arguments supplied by the user.
	 * @param array $totals_query    Array of options for totals db query.
	 * @param array $intervals_query Array of options for intervals db query.
	 */
	protected function orders_stats_sql_filter( $query_args, &$totals_query, &$intervals_query ) {
		// TODO: performance of all of this?
		global $wpdb;

		$from_clause        = '';
		$orders_stats_table = $wpdb->prefix . self::TABLE_NAME;
		$operator           = $this->get_match_operator( $query_args );

		$where_filters = array();

		// TODO: maybe move the sql inside the get_included/excluded functions?
		// Products filters.
		$included_products = $this->get_included_products( $query_args );
		$excluded_products = $this->get_excluded_products( $query_args );
		if ( $included_products ) {
			$where_filters[] = " {$orders_stats_table}.order_id IN (
			SELECT
				DISTINCT {$wpdb->prefix}wc_order_product_lookup.order_id
			FROM
				{$wpdb->prefix}wc_order_product_lookup
			WHERE
				{$wpdb->prefix}wc_order_product_lookup.product_id IN ({$included_products})
			)";
		}

		if ( $excluded_products ) {
			$where_filters[] = " {$orders_stats_table}.order_id NOT IN (
			SELECT
				DISTINCT {$wpdb->prefix}wc_order_product_lookup.order_id
			FROM
				{$wpdb->prefix}wc_order_product_lookup
			WHERE
				{$wpdb->prefix}wc_order_product_lookup.product_id IN ({$excluded_products})
			)";
		}

		// Coupons filters.
		$included_coupons = $this->get_included_coupons( $query_args );
		$excluded_coupons = $this->get_excluded_coupons( $query_args );
		if ( $included_coupons ) {
			$where_filters[] = " {$orders_stats_table}.order_id IN (
				SELECT
					DISTINCT {$wpdb->prefix}wc_order_coupon_lookup.order_id
				FROM
					{$wpdb->prefix}wc_order_coupon_lookup
				WHERE
					{$wpdb->prefix}wc_order_coupon_lookup.coupon_id IN ({$included_coupons})
				)";
		}

		if ( $excluded_coupons ) {
			$where_filters[] = " {$orders_stats_table}.order_id NOT IN (
				SELECT
					DISTINCT {$wpdb->prefix}wc_order_coupon_lookup.order_id
				FROM
					{$wpdb->prefix}wc_order_coupon_lookup
				WHERE
					{$wpdb->prefix}wc_order_coupon_lookup.coupon_id IN ({$excluded_coupons})
				)";
		}

		$order_status_filter = $this->get_status_subquery( $query_args, $operator );
		if ( $order_status_filter ) {
			$where_filters[] = $order_status_filter;
		}

		$customer_filter = $this->get_customer_subquery( $query_args );
		if ( $customer_filter ) {
			$where_filters[] = $customer_filter;
		}

		$where_subclause = implode( " $operator ", $where_filters );

		// To avoid requesting the subqueries twice, the result is applied to all queries passed to the method.
		if ( $where_subclause ) {
			$totals_query['where_clause']    .= " AND ( $where_subclause )";
			$totals_query['from_clause']     .= $from_clause;
			$intervals_query['where_clause'] .= " AND ( $where_subclause )";
			$intervals_query['from_clause']  .= $from_clause;
		}
	}

	/**
	 * Returns SELECT clause statements to be used for product-related product-level segmenting query (e.g. products sold, revenue from product X when segmenting by category).
	 *
	 * @param array  $query_args Query arguments supplied by the user.
	 * @param string $products_table Name of SQL table containing the product-level segmenting info.
	 *
	 * @return string SELECT clause statements.
	 */
	protected function get_segment_selections_product_level( $query_args, $products_table ) {
		$columns_mapping = array(
			'num_items_sold' => "SUM($products_table.product_qty) as num_items_sold",
			'gross_revenue'  => "SUM($products_table.product_gross_revenue) AS gross_revenue",
			'coupons'        => "SUM($products_table.coupon_amount) AS coupons",
			'refunds'        => "SUM($products_table.refund_amount) AS refunds",
			'taxes'          => "SUM($products_table.tax_amount) AS taxes",
			'shipping'       => "SUM($products_table.shipping_amount) AS shipping",
			'net_revenue'    => "SUM($products_table.product_net_revenue) - SUM($products_table.refund_amount) AS net_revenue",
		);

		return $this->prepare_selections( $query_args, $columns_mapping );
	}

	/**
	 * Returns SELECT clause statements to be used for order-related product-level segmenting query (e.g. avg items per order when segmented by category).
	 *
	 * @param array  $query_args Query arguments supplied by the user.
	 * @param string $unique_orders_table Name of SQL table containing the order-level segmenting info.
	 *
	 * @return string SELECT clause statements.
	 */
	protected function get_segment_selections_order_level( $query_args, $unique_orders_table ) {
		$columns_mapping = array(
			'orders_count'            => "COUNT($unique_orders_table.order_id) AS orders_count",
			'avg_items_per_order'     => "AVG($unique_orders_table.num_items_sold) AS avg_items_per_order",
			'avg_order_value'         => "(SUM($unique_orders_table.net_total) - SUM($unique_orders_table.refund_total))/COUNT($unique_orders_table.order_id) AS avg_order_value",
			'num_returning_customers' => "SUM($unique_orders_table.returning_customer) AS num_returning_customers",
			'num_new_customers'       => "COUNT($unique_orders_table.returning_customer) - SUM($unique_orders_table.returning_customer) AS num_new_customers",
		);

		return $this->prepare_selections( $query_args, $columns_mapping );
	}

	/**
	 * Filters definitions for SELECT clauses based on query_args and joins them into one string usable in SELECT clause.
	 *
	 * @param array $query_args Query arguments supplied by the user.
	 * @param array $columns_mapping Column name -> SQL statememt mapping.
	 *
	 * @return string to be used in SELECT clause statements.
	 */
	protected function prepare_selections( $query_args, $columns_mapping ) {
		if ( isset( $query_args['fields'] ) && is_array( $query_args['fields'] ) ) {
			$keep = array();
			foreach ( $query_args['fields'] as $field ) {
				if ( isset( $columns_mapping[ $field ] ) ) {
					$keep[ $field ] = $columns_mapping[ $field ];
				}
			}
			$selections = implode( ', ', $keep );
		} else {
			$selections = implode( ', ', $columns_mapping );
		}

		if ( $selections ) {
			$selections = ',' . $selections;
		}

		return $selections;
	}

	/**
	 * Returns SELECT clause statements to be used for order-level segmenting query (e.g. avg items per order or net revenue when segmented by coupons).
	 *
	 * @param array  $query_args Query arguments supplied by the user.
	 * @param string $table_name Name of SQL table containing the order-level info.
	 * @param array  $overrides Array of overrides for default column calculations.
	 *
	 * @return string
	 */
	protected function segment_selections_orders( $query_args, $table_name, $overrides = array() ) {
		$columns_mapping = array(
			'num_items_sold'          => "SUM($table_name.num_items_sold) as num_items_sold",
			'gross_revenue'           => "SUM($table_name.gross_total) AS gross_revenue",
			'coupons'                 => "SUM($table_name.coupon_total) AS coupons",
			'refunds'                 => "SUM($table_name.refund_total) AS refunds",
			'taxes'                   => "SUM($table_name.tax_total) AS taxes",
			'shipping'                => "SUM($table_name.shipping_total) AS shipping",
			'net_revenue'             => "SUM($table_name.net_total) - SUM($table_name.refund_total) AS net_revenue",
			'orders_count'            => "COUNT($table_name.order_id) AS orders_count",
			'avg_items_per_order'     => "AVG($table_name.num_items_sold) AS avg_items_per_order",
			'avg_order_value'         => "(SUM($table_name.net_total) - SUM($table_name.refund_total))/COUNT($table_name.order_id) AS avg_order_value",
			'num_returning_customers' => "SUM($table_name.returning_customer) AS num_returning_customers",
			'num_new_customers'       => "COUNT($table_name.returning_customer) - SUM($table_name.returning_customer) AS num_new_customers",
		);

		if ( $overrides ) {
			$columns_mapping = array_merge( $columns_mapping, $overrides );
		}

		return $this->prepare_selections( $query_args, $columns_mapping );
	}

	/**
	 * Update row-level db result for segments in 'totals' section to the format used for output.
	 *
	 * @param array  $segments_db_result Results from the SQL db query for segmenting.
	 * @param string $segment_dimension Name of column used for grouping the result.
	 *
	 * @return array Reformatted array.
	 */
	protected function reformat_totals_segments( $segments_db_result, $segment_dimension ) {
		$segment_result = array();

		if ( strpos( $segment_dimension, '.' ) ) {
			$segment_dimension = substr( strstr( $segment_dimension, '.' ), 1 );
		}

		foreach ( $segments_db_result as $segment_data ) {
			$segment_id = $segment_data[ $segment_dimension ];
			unset( $segment_data[ $segment_dimension ] );
			$segment_datum                 = array(
				'segment_id' => $segment_id,
				'subtotals'  => $this->cast_numbers( $segment_data ),
			);
			$segment_result[ $segment_id ] = $segment_datum;
		}

		return $segment_result;
	}

	/**
	 * Merges segmented results for totals response part.
	 *
	 * E.g. $r1 = array(
	 *     0 => array(
	 *          'product_id' => 3,
	 *          'net_amount' => 15,
	 *     ),
	 * );
	 * $r2 = array(
	 *     0 => array(
	 *          'product_id'      => 3,
	 *          'avg_order_value' => 25,
	 *     ),
	 * );
	 *
	 * $merged = array(
	 *     3 => array(
	 *          'segment_id' => 3,
	 *          'subtotals'  => array(
	 *              'net_amount'      => 15,
	 *              'avg_order_value' => 25,
	 *          )
	 *     ),
	 * );
	 *
	 * @param string $segment_dimension Name of the segment dimension=key in the result arrays used to match records from result sets.
	 * @param array  $result1 Array 1 of segmented figures.
	 * @param array  $result2 Array 2 of segmented figures.
	 *
	 * @return array
	 */
	protected function merge_segment_totals_results( $segment_dimension, $result1, $result2 ) {
		$result_segments = array();

		foreach ( $result1 as $segment_data ) {
			$segment_id = $segment_data[ $segment_dimension ];
			unset( $segment_data[ $segment_dimension ] );
			$result_segments[ $segment_id ] = array(
				'segment_id' => $segment_id,
				'subtotals'  => $segment_data,
			);
		}

		foreach ( $result2 as $segment_data ) {
			$segment_id = $segment_data[ $segment_dimension ];
			unset( $segment_data[ $segment_dimension ] );
			if ( ! isset( $result_segments[ $segment_id ] ) ) {
				$result_segments[ $segment_id ] = array(
					'segment_id' => $segment_id,
					'subtotals'  => array(),
				);
			}
			$result_segments[ $segment_id ]['subtotals'] = array_merge( $result_segments[ $segment_id ]['subtotals'], $segment_data );
		}
		return $result_segments;
	}
	/**
	 * Merges segmented results for intervals response part.
	 *
	 * E.g. $r1 = array(
	 *     0 => array(
	 *          'product_id'    => 3,
	 *          'time_interval' => '2018-12'
	 *          'net_amount'    => 15,
	 *     ),
	 * );
	 * $r2 = array(
	 *     0 => array(
	 *          'product_id'      => 3,
	 *          'time_interval' => '2018-12'
	 *          'avg_order_value' => 25,
	 *     ),
	 * );
	 *
	 * $merged = array(
	 *     '2018-12' => array(
	 *          'segments' => array(
	 *              3 => array(
	 *                  'segment_id' => 3,
	 *                  'subtotals'  => array(
	 *                      'net_amount'      => 15,
	 *                      'avg_order_value' => 25,
	 *                  ),
	 *              ),
	 *          ),
	 *     ),
	 * );
	 *
	 * @param string $segment_dimension Name of the segment dimension=key in the result arrays used to match records from result sets.
	 * @param array  $result1 Array 1 of segmented figures.
	 * @param array  $result2 Array 2 of segmented figures.
	 *
	 * @return array
	 */
	protected function merge_segment_intervals_results( $segment_dimension, $result1, $result2 ) {
		$result_segments = array();

		foreach ( $result1 as $segment_data ) {
			$time_interval = $segment_data['time_interval'];
			if ( ! isset( $result_segments[ $time_interval ] ) ) {
				$result_segments[ $time_interval ]             = array();
				$result_segments[ $time_interval ]['segments'] = array();
			}
			unset( $segment_data['time_interval'] );
			unset( $segment_data['datetime_anchor'] );
			$segment_id = $segment_data[ $segment_dimension ];
			unset( $segment_data[ $segment_dimension ] );
			$segment_datum = array(
				'segment_id' => $segment_id,
				'subtotals'  => $this->cast_numbers( $segment_data ),
			);
			$result_segments[ $time_interval ]['segments'][ $segment_id ] = $segment_datum;
		}

		foreach ( $result2 as $segment_data ) {
			$time_interval = $segment_data['time_interval'];
			if ( ! isset( $result_segments[ $time_interval ] ) ) {
				$result_segments[ $time_interval ]             = array();
				$result_segments[ $time_interval ]['segments'] = array();
			}
			unset( $segment_data['time_interval'] );
			unset( $segment_data['datetime_anchor'] );
			$segment_id = $segment_data[ $segment_dimension ];
			unset( $segment_data[ $segment_dimension ] );

			if ( ! isset( $result_segments[ $time_interval ]['segments'][ $segment_id ] ) ) {
				$result_segments[ $time_interval ]['segments'][ $segment_id ] = array(
					'segment_id' => $segment_id,
					'subtotals'  => array(),
				);
			}
			$result_segments[ $time_interval ]['segments'][ $segment_id ]['subtotals'] = array_merge( $result_segments[ $time_interval ]['segments'][ $segment_id ]['subtotals'], $segment_data );
		}
		return $result_segments;
	}

	/**
	 * Update row-level db result for segments in 'intervals' section to the format used for output.
	 *
	 * @param array  $segments_db_result Results from the SQL db query for segmenting.
	 * @param string $segment_dimension Name of column used for grouping the result.
	 *
	 * @return array Reformatted array.
	 */
	protected function reformat_intervals_segments( $segments_db_result, $segment_dimension ) {
		$aggregated_segment_result = array();

		if ( strpos( $segment_dimension, '.' ) ) {
			$segment_dimension = substr( strstr( $segment_dimension, '.' ), 1 );
		}

		foreach ( $segments_db_result as $segment_data ) {
			$time_interval = $segment_data['time_interval'];
			if ( ! isset( $aggregated_segment_result[ $time_interval ] ) ) {
				$aggregated_segment_result[ $time_interval ]             = array();
				$aggregated_segment_result[ $time_interval ]['segments'] = array();
			}
			unset( $segment_data['time_interval'] );
			unset( $segment_data['datetime_anchor'] );
			$segment_id = $segment_data[ $segment_dimension ];
			unset( $segment_data[ $segment_dimension ] );
			$segment_datum = array(
				'segment_id' => $segment_id,
				'subtotals'  => $this->cast_numbers( $segment_data ),
			);
			$aggregated_segment_result[ $time_interval ]['segments'][ $segment_id ] = $segment_datum;
		}

		return $aggregated_segment_result;
	}

	/**
	 * Return all segments for given segmentby parameter.
	 *
	 * @param array $query_args Query args provided by the user.
	 *
	 * @return array|void
	 */
	protected function get_all_segments( $query_args ) {
		global $wpdb;
		if ( ! isset( $query_args['segmentby'] ) ) {
			return;
		}

		if ( 'product' === $query_args['segmentby'] ) {
			$segments = wc_get_products(
				array(
					'return' => 'ids',
					'limit'  => -1,
				)
			);
		} elseif ( 'variation' === $query_args['segmentby'] ) {
			// TODO: assuming that this will only be used for one product, check assumption.
			if ( ! isset( $query_args['product_includes'] ) || count( $query_args['product_includes'] ) !== 1 ) {
				return;
			}

			$segments = wc_get_products(
				array(
					'return' => 'ids',
					'limit'  => - 1,
					'type'   => 'variation',
					'parent' => $query_args['product_includes'][0],
				)
			);
		} elseif ( 'category' === $query_args['segmentby'] ) {
			$categories = get_categories(
				array(
					'taxonomy' => 'product_cat',
				)
			);
			$segments   = wp_list_pluck( $categories, 'cat_ID' );
		} elseif ( 'coupon' === $query_args['segmentby'] ) {
			$coupon_ids = $wpdb->get_results( "SELECT ID FROM {$wpdb->prefix}posts WHERE post_type='shop_coupon' AND post_status='publish'", ARRAY_A ); // WPCS: cache ok, DB call ok, unprepared SQL ok.
			$segments   = wp_list_pluck( $coupon_ids, 'ID' );
		} elseif ( 'customer_type' === $query_args['segmentby'] ) {
			// 0 -- new customer
			// 1 -- returning customer
			$segments = array( 0, 1 );
		}

		return $segments;
	}

	/**
	 * Adds zeroes for segments not present in the data selection.
	 *
	 * @param array $query_args Query arguments provided by the user.
	 * @param array $segments Array of segments from the database for given data points.
	 * @param array $all_segment_ids Array of all possible segment ids.
	 *
	 * @return array
	 */
	protected function fill_in_missing_segments( $query_args, $segments, $all_segment_ids ) {

		$segment_subtotals = array();
		if ( isset( $query_args['fields'] ) && is_array( $query_args['fields'] ) ) {
			foreach ( $query_args['fields'] as $field ) {
				if ( isset( $this->report_columns[ $field ] ) ) {
					$segment_subtotals[ $field ] = 0;
				}
			}
		} else {
			foreach ( $this->report_columns as $field ) {
				$segment_subtotals[ $field ] = 0;
			}
		}
		if ( ! is_array( $segments ) ) {
			$segments = array();
		}
		foreach ( $all_segment_ids as $segment_id ) {
			if ( ! isset( $segments[ $segment_id ] ) ) {
				$segments[ $segment_id ] = array(
					'segment_id' => $segment_id,
					'subtotals'  => $segment_subtotals,
				);
			}
		}

		// Using array_values to remove custom keys, so that it gets later converted to JSON as an array.
		return array_values( $segments );
	}

	/**
	 * Adds missing segments to intervals, modifies $data.
	 *
	 * @param array    $query_args Query arguments provided by the user.
	 * @param stdClass $data Response data.
	 * @param array    $all_segment_ids Array of all possible segment ids.
	 */
	protected function fill_in_missing_interval_segments( $query_args, &$data, $all_segment_ids ) {
		foreach ( $data->intervals as $order_id => $interval_data ) {
			$data->intervals[ $order_id ]['segments'] = $this->fill_in_missing_segments( $query_args, $data->intervals[ $order_id ]['segments'], $all_segment_ids );
		}
	}

	/**
	 * Calculate segments for segmenting property bound to product (e.g. category, product_id, variation_id).
	 *
	 * @param string $type Type of segments to return--'totals' or 'intervals'.
	 * @param array  $segmenting_selections SELECT part of segmenting SQL query--one for 'product_level' and one for 'order_level'.
	 * @param string $segmenting_from FROM part of segmenting SQL query.
	 * @param string $segmenting_where WHERE part of segmenting SQL query.
	 * @param string $segmenting_groupby GROUP BY part of segmenting SQL query.
	 * @param string $segmenting_dimension_name Name of the segmenting dimension.
	 * @param string $table_name Name of SQL table which is the stats table for orders.
	 * @param array  $query_params Array of SQL clauses for intervals/totals query.
	 * @param string $unique_orders_table Name of temporary SQL table that holds unique orders.
	 * @param array  $all_segment_ids Array of all possible segment ids.
	 *
	 * @return array
	 */
	protected function get_product_related_segments( $type, $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $query_params, $unique_orders_table, $all_segment_ids ) {
		if ( 'totals' === $type ) {
			return $this->get_product_related_totals_segments( $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $query_params, $unique_orders_table );
		} elseif ( 'intervals' === $type ) {
			return $this->get_product_related_intervals_segments( $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $query_params, $unique_orders_table, $all_segment_ids );
		}
	}

	/**
	 * Calculate segments for segmenting property bound to order (e.g. coupon or customer type).
	 *
	 * @param string $type Type of segments to return--'totals' or 'intervals'.
	 * @param string $segmenting_select SELECT part of segmenting SQL query.
	 * @param string $segmenting_from FROM part of segmenting SQL query.
	 * @param string $segmenting_where WHERE part of segmenting SQL query.
	 * @param string $segmenting_groupby GROUP BY part of segmenting SQL query.
	 * @param string $table_name Name of SQL table which is the stats table for orders.
	 * @param array  $query_params Array of SQL clauses for intervals/totals query.
	 * @param array  $all_segment_ids Array of all possible segment ids.
	 *
	 * @return array
	 */
	protected function get_order_related_segments( $type, $segmenting_select, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $query_params, $all_segment_ids ) {
		if ( 'totals' === $type ) {
			return $this->get_order_related_totals_segments( $segmenting_select, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $query_params );
		} elseif ( 'intervals' === $type ) {
			return $this->get_order_related_intervals_segments( $segmenting_select, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $query_params, $all_segment_ids );
		}
	}

	/**
	 * Calculate segments for totals where the segmenting property is bound to product (e.g. category, product_id, variation_id).
	 *
	 * @param array  $segmenting_selections SELECT part of segmenting SQL query--one for 'product_level' and one for 'order_level'.
	 * @param string $segmenting_from FROM part of segmenting SQL query.
	 * @param string $segmenting_where WHERE part of segmenting SQL query.
	 * @param string $segmenting_groupby GROUP BY part of segmenting SQL query.
	 * @param string $segmenting_dimension_name Name of the segmenting dimension.
	 * @param string $table_name Name of SQL table which is the stats table for orders.
	 * @param array  $totals_query Array of SQL clauses for totals query.
	 * @param string $unique_orders_table Name of temporary SQL table that holds unique orders.
	 *
	 * @return array
	 */
	protected function get_product_related_totals_segments( $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $totals_query, $unique_orders_table ) {
		global $wpdb;

		$product_segmenting_table = $wpdb->prefix . 'wc_order_product_lookup';

		// Can't get all the numbers from one query, so split it into one query for product-level numbers and one for order-level numbers (which first need to have orders uniqued).
		// Product-level numbers.
		$segments_products = $wpdb->get_results(
			"SELECT
						$segmenting_groupby AS $segmenting_dimension_name
						{$segmenting_selections['product_level']}
					FROM
						$table_name
						$segmenting_from
						{$totals_query['from_clause']}
					WHERE
						1=1
						{$totals_query['where_time_clause']}
						{$totals_query['where_clause']}
						$segmenting_where
					GROUP BY
						$segmenting_groupby",
			ARRAY_A
		); // WPCS: cache ok, DB call ok, unprepared SQL ok.

		// Order level numbers.
		// As there can be 2 same product ids (or variation ids) per one order, the orders first need to be uniqued before calculating averages, customer counts, etc.
		$segments_orders = $wpdb->get_results(
			"SELECT
				    $unique_orders_table.$segmenting_dimension_name AS $segmenting_dimension_name
				    {$segmenting_selections['order_level']}
				FROM
				(
					SELECT
				        $table_name.order_id, 
				        $segmenting_groupby AS $segmenting_dimension_name,
				        MAX( num_items_sold ) AS num_items_sold, 
				        MAX( net_total ) as net_total, 
				        MAX( refund_total ) as refund_total,
				        MAX( returning_customer ) AS returning_customer
				    FROM
				        $table_name 
				        $segmenting_from
				        {$totals_query['from_clause']}
				    WHERE
				        1=1
						{$totals_query['where_time_clause']}
						{$totals_query['where_clause']}
						$segmenting_where
				    GROUP BY
				        $product_segmenting_table.order_id, $segmenting_groupby
				) AS $unique_orders_table
				GROUP BY
				    $unique_orders_table.$segmenting_dimension_name",
			ARRAY_A
		); // WPCS: cache ok, DB call ok, unprepared SQL ok.

		$totals_segments = $this->merge_segment_totals_results( $segmenting_dimension_name, $segments_products, $segments_orders );
		return $totals_segments;
	}

	/**
	 * Calculate segments for intervals where the segmenting property is bound to product (e.g. category, product_id, variation_id).
	 *
	 * @param array  $segmenting_selections SELECT part of segmenting SQL query--one for 'product_level' and one for 'order_level'.
	 * @param string $segmenting_from FROM part of segmenting SQL query.
	 * @param string $segmenting_where WHERE part of segmenting SQL query.
	 * @param string $segmenting_groupby GROUP BY part of segmenting SQL query.
	 * @param string $segmenting_dimension_name Name of the segmenting dimension.
	 * @param string $table_name Name of SQL table which is the stats table for orders.
	 * @param array  $intervals_query Array of SQL clauses for intervals query.
	 * @param string $unique_orders_table Name of temporary SQL table that holds unique orders.
	 * @param array  $all_segment_ids Array of all possible segment ids.
	 *
	 * @return array
	 */
	protected function get_product_related_intervals_segments( $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $intervals_query, $unique_orders_table, $all_segment_ids ) {
		global $wpdb;

		$product_segmenting_table = $wpdb->prefix . 'wc_order_product_lookup';

		// LIMIT offset, rowcount needs to be updated to LIMIT offset, rowcount * max number of segments.
		$limit_parts      = explode( ',', $intervals_query['limit'] );
		$orig_rowcount    = intval( $limit_parts[1] );
		$segmenting_limit = $limit_parts[0] . ',' . $orig_rowcount * count( $all_segment_ids );

		// Can't get all the numbers from one query, so split it into one query for product-level numbers and one for order-level numbers (which first need to have orders uniqued).
		// Product-level numbers.
		$segments_products = $wpdb->get_results(
			"SELECT

						{$intervals_query['select_clause']} AS time_interval,
						$segmenting_groupby AS $segmenting_dimension_name
						{$segmenting_selections['product_level']}
					FROM
						$table_name
						$segmenting_from
						{$intervals_query['from_clause']}
					WHERE
						1=1
						{$intervals_query['where_time_clause']}
						{$intervals_query['where_clause']}
						$segmenting_where
					GROUP BY
						time_interval, $segmenting_groupby
					$segmenting_limit",
			ARRAY_A
		); // WPCS: cache ok, DB call ok, unprepared SQL ok.

		// Order level numbers.
		// As there can be 2 same product ids (or variation ids) per one order, the orders first need to be uniqued before calculating averages, customer counts, etc.
		$segments_orders = $wpdb->get_results(
			"SELECT
					$unique_orders_table.time_interval AS time_interval,
				    $unique_orders_table.$segmenting_dimension_name AS $segmenting_dimension_name
				    {$segmenting_selections['order_level']}
				FROM
				(
					SELECT
						MAX( $table_name.date_created ) AS datetime_anchor,
						{$intervals_query['select_clause']} AS time_interval,
				        $table_name.order_id,
				        $segmenting_groupby AS $segmenting_dimension_name,
				        MAX( num_items_sold ) AS num_items_sold,
				        MAX( net_total ) as net_total,
				        MAX( refund_total ) as refund_total,
				        MAX( returning_customer ) AS returning_customer
				    FROM
				        $table_name 
				        $segmenting_from
				        {$intervals_query['from_clause']}
				    WHERE
				        1=1
						{$intervals_query['where_time_clause']}
						{$intervals_query['where_clause']}
						$segmenting_where
				    GROUP BY
				        time_interval, $product_segmenting_table.order_id, $segmenting_groupby
				) AS $unique_orders_table
				GROUP BY
				    time_interval, $unique_orders_table.$segmenting_dimension_name
				$segmenting_limit",
			ARRAY_A
		); // WPCS: cache ok, DB call ok, unprepared SQL ok.

		$intervals_segments = $this->merge_segment_intervals_results( $segmenting_dimension_name, $segments_products, $segments_orders );
		return $intervals_segments;
	}

	/**
	 * Calculate segments for totals query where the segmenting property is bound to order (e.g. coupon or customer type).
	 *
	 * @param string $segmenting_select SELECT part of segmenting SQL query.
	 * @param string $segmenting_from FROM part of segmenting SQL query.
	 * @param string $segmenting_where WHERE part of segmenting SQL query.
	 * @param string $segmenting_groupby GROUP BY part of segmenting SQL query.
	 * @param string $table_name Name of SQL table which is the stats table for orders.
	 * @param array  $totals_query Array of SQL clauses for intervals query.
	 *
	 * @return array
	 */
	protected function get_order_related_totals_segments( $segmenting_select, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $totals_query ) {
		global $wpdb;

		$totals_segments = $wpdb->get_results(
			"SELECT
						$segmenting_groupby
						$segmenting_select
					FROM
						$table_name
						$segmenting_from
						{$totals_query['from_clause']}
					WHERE
						1=1
						{$totals_query['where_time_clause']}
						{$totals_query['where_clause']}
						$segmenting_where
					GROUP BY
						$segmenting_groupby",
			ARRAY_A
		); // WPCS: cache ok, DB call ok, unprepared SQL ok.

		// Reformat result.
		$totals_segments = $this->reformat_totals_segments( $totals_segments, $segmenting_groupby );
		return $totals_segments;
	}

	/**
	 * Calculate segments for intervals query where the segmenting property is bound to order (e.g. coupon or customer type).
	 *
	 * @param string $segmenting_select SELECT part of segmenting SQL query.
	 * @param string $segmenting_from FROM part of segmenting SQL query.
	 * @param string $segmenting_where WHERE part of segmenting SQL query.
	 * @param string $segmenting_groupby GROUP BY part of segmenting SQL query.
	 * @param string $table_name Name of SQL table which is the stats table for orders.
	 * @param array  $intervals_query Array of SQL clauses for intervals query.
	 * @param array  $all_segment_ids Ids of all possible segments.
	 *
	 * @return array
	 */
	protected function get_order_related_intervals_segments( $segmenting_select, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $intervals_query, $all_segment_ids ) {
		global $wpdb;
		$limit_parts      = explode( ',', $intervals_query['limit'] );
		$orig_rowcount    = intval( $limit_parts[1] );
		$segmenting_limit = $limit_parts[0] . ',' . $orig_rowcount * count( $all_segment_ids );

		$intervals_segments = $wpdb->get_results(
			"SELECT
						MAX($table_name.date_created) AS datetime_anchor,
						{$intervals_query['select_clause']} AS time_interval,
						$segmenting_groupby
						$segmenting_select
					FROM
						$table_name
						$segmenting_from
						{$intervals_query['from_clause']}
					WHERE
						1=1
						{$intervals_query['where_time_clause']}
						{$intervals_query['where_clause']}
						$segmenting_where
					GROUP BY
						time_interval, $segmenting_groupby
					$segmenting_limit",
			ARRAY_A
		); // WPCS: cache ok, DB call ok, unprepared SQL ok.

		// Reformat result.
		$intervals_segments = $this->reformat_intervals_segments( $intervals_segments, $segmenting_groupby );
		return $intervals_segments;
	}

	/**
	 * Return array of segments formatted for REST response.
	 *
	 * @param string $type Type of segments to return--'totals' or 'intervals'.
	 * @param array  $query_args Parameters provided by the user.
	 * @param array  $query_params SQL query parameter array.
	 * @param string $table_name Name of main SQL table for the data store (used as basis for JOINS).
	 * @param array  $all_segments Array of all segment ids.
	 *
	 * @return array|void
	 * @throws WC_REST_Exception In case of segmenting by variations, when no parent product is specified.
	 */
	protected function get_segments( $type, $query_args, $query_params, $table_name, $all_segments ) {
		global $wpdb;
		if ( ! isset( $query_args['segmentby'] ) ) {
			return;
		}

		$product_segmenting_table = $wpdb->prefix . 'wc_order_product_lookup';
		$unique_orders_table      = 'uniq_orders';
		$segmenting_where         = '';

		// Product, variation, and category are bound to product, so here product segmenting table is required,
		// while coupon and customer are bound to order, so we don't need the extra JOIN for those.
		// This also means that segment selections need to be calculated differently.
		if ( 'product' === $query_args['segmentby'] ) {
			// TODO: how to handle shipping taxes when grouped by product?
			$segmenting_selections     = array(
				'product_level' => $this->get_segment_selections_product_level( $query_args, $product_segmenting_table ),
				'order_level'   => $this->get_segment_selections_order_level( $query_args, $unique_orders_table ),
			);
			$segmenting_from           = "INNER JOIN $product_segmenting_table ON ($table_name.order_id = $product_segmenting_table.order_id)";
			$segmenting_groupby        = $product_segmenting_table . '.product_id';
			$segmenting_dimension_name = 'product_id';

			$segments = $this->get_product_related_segments( $type, $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $query_params, $unique_orders_table, $all_segments );
		} elseif ( 'variation' === $query_args['segmentby'] ) {
			if ( ! isset( $query_args['product_includes'] ) || count( $query_args['product_includes'] ) !== 1 ) {
				throw new WC_REST_Exception( 'woocommerce_rest_invalid_segmenting_variation', __( 'product_includes parameter need to specify exactly one product when segmenting by variation.', 'wc-admin' ), 400 );
			}

			$segmenting_selections     = array(
				'product_level' => $this->get_segment_selections_product_level( $query_args, $product_segmenting_table ),
				'order_level'   => $this->get_segment_selections_order_level( $query_args, $unique_orders_table ),
			);
			$segmenting_from           = "INNER JOIN $product_segmenting_table ON ($table_name.order_id = $product_segmenting_table.order_id)";
			$segmenting_where          = "AND $product_segmenting_table.product_id = {$query_args['product_includes'][0]}";
			$segmenting_groupby        = $product_segmenting_table . '.variation_id';
			$segmenting_dimension_name = 'variation_id';

			$segments = $this->get_product_related_segments( $type, $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $query_params, $unique_orders_table, $all_segments );
		} elseif ( 'category' === $query_args['segmentby'] ) {
			$segmenting_selections     = array(
				'product_level' => $this->get_segment_selections_product_level( $query_args, $product_segmenting_table ),
				'order_level'   => $this->get_segment_selections_order_level( $query_args, $unique_orders_table ),
			);
			$segmenting_from           = "
			INNER JOIN $product_segmenting_table ON ($table_name.order_id = $product_segmenting_table.order_id)
			LEFT JOIN {$wpdb->prefix}term_relationships ON {$product_segmenting_table}.product_id = {$wpdb->prefix}term_relationships.object_id
			RIGHT JOIN {$wpdb->prefix}term_taxonomy ON {$wpdb->prefix}term_relationships.term_taxonomy_id = {$wpdb->prefix}term_taxonomy.term_taxonomy_id
			";
			$segmenting_where          = " AND taxonomy = 'product_cat'";
			$segmenting_groupby        = 'wp_term_taxonomy.term_taxonomy_id';
			$segmenting_dimension_name = 'category_id';

			$segments = $this->get_product_related_segments( $type, $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $segmenting_dimension_name, $table_name, $query_params, $unique_orders_table, $all_segments );
		} elseif ( 'coupon' === $query_args['segmentby'] ) {
			// As there can be 2 or more coupons applied per one order, coupon amount needs to be split.
			$coupon_override       = array(
				'coupons' => 'SUM(coupon_lookup.discount_amount) AS coupons',
			);
			$segmenting_selections = $this->segment_selections_orders( $query_args, $table_name, $coupon_override );
			$segmenting_from       = "
			INNER JOIN {$wpdb->prefix}wc_order_coupon_lookup AS coupon_lookup ON ($table_name.order_id = coupon_lookup.order_id)
            ";
			$segmenting_groupby    = 'coupon_lookup.coupon_id';

			$segments = $this->get_order_related_segments( $type, $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $query_params, $all_segments );
		} elseif ( 'customer_type' === $query_args['segmentby'] ) {
			$segmenting_selections = $this->segment_selections_orders( $query_args, $table_name );
			$segmenting_from       = '';
			$segmenting_groupby    = "$table_name.returning_customer";

			$segments = $this->get_order_related_segments( $type, $segmenting_selections, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $query_params, $all_segments );
		}

		return $segments;
	}

	/**
	 * Assign segments to time intervals by updating original $intervals array.
	 *
	 * @param array $intervals Result array from intervals SQL query.
	 * @param array $intervals_segments Result array from interval segments SQL query.
	 */
	protected function assign_segments_to_intervals( &$intervals, $intervals_segments ) {
		$old_keys = array_keys( $intervals );
		foreach ( $intervals as $interval ) {
			$intervals[ $interval['time_interval'] ] = $interval;
		}
		foreach ( $old_keys as $key ) {
			unset( $intervals[ $key ] );
		}

		foreach ( $intervals_segments as $time_interval => $segment ) {
			if ( ! isset( $intervals[ $time_interval ] ) ) {
				$intervals[ $time_interval ]['segments'] = array();
			}
			$intervals[ $time_interval ]['segments'] = $segment['segments'];
		}
	}

	/**
	 * Returns the report data based on parameters supplied by the user.
	 *
	 * @param array $query_args  Query parameters.
	 * @return stdClass|WP_Error Data.
	 */
	public function get_data( $query_args ) {
		global $wpdb;

		$table_name = $wpdb->prefix . self::TABLE_NAME;
		$now        = time();
		$week_back  = $now - WEEK_IN_SECONDS;

		// These defaults are only applied when not using REST API, as the API has its own defaults that overwrite these for most values (except before, after, etc).
		$defaults   = array(
			'per_page'         => get_option( 'posts_per_page' ),
			'page'             => 1,
			'order'            => 'DESC',
			'orderby'          => 'date',
			'before'           => date( WC_Admin_Reports_Interval::$iso_datetime_format, $now ),
			'after'            => date( WC_Admin_Reports_Interval::$iso_datetime_format, $week_back ),
			'interval'         => 'week',
			'fields'           => '*',
			'segmentby'        => '',

			'match'            => 'all',
			'status_is'        => array(),
			'status_is_not'    => array(),
			'product_includes' => array(),
			'product_excludes' => array(),
			'coupon_includes'  => array(),
			'coupon_excludes'  => array(),
			'customer'         => '',
			'categories'       => array(),
		);
		$query_args = wp_parse_args( $query_args, $defaults );

		$cache_key = $this->get_cache_key( $query_args );
		$data      = wp_cache_get( $cache_key, $this->cache_group );

		if ( false === $data ) {
			$data = (object) array(
				'totals'    => (object) array(),
				'intervals' => (object) array(),
				'total'     => 0,
				'pages'     => 0,
				'page_no'   => 0,
			);

			$selections      = $this->selected_columns( $query_args );
			$totals_query    = $this->get_time_period_sql_params( $query_args, $table_name );
			$intervals_query = $this->get_intervals_sql_params( $query_args, $table_name );

			// Additional filtering for Orders report.
			$this->orders_stats_sql_filter( $query_args, $totals_query, $intervals_query );

			$totals = $wpdb->get_results(
				"SELECT
						{$selections}
					FROM
						{$table_name}
						{$totals_query['from_clause']}
					WHERE
						1=1
						{$totals_query['where_time_clause']}
						{$totals_query['where_clause']}",
				ARRAY_A
			); // WPCS: cache ok, DB call ok, unprepared SQL ok.
			if ( null === $totals ) {
				return new WP_Error( 'woocommerce_reports_revenue_result_failed', __( 'Sorry, fetching revenue data failed.', 'wc-admin' ) );
			}

			$unique_products       = $this->get_unique_product_count( $totals_query['from_clause'], $totals_query['where_time_clause'], $totals_query['where_clause'] );
			$totals[0]['products'] = $unique_products;

			$all_segments          = $this->get_all_segments( $query_args );
			$segments              = $this->get_segments( 'totals', $query_args, $totals_query, $table_name, $all_segments );
			$totals[0]['segments'] = $this->fill_in_missing_segments( $query_args, $segments, $all_segments );
			$totals                = (object) $this->cast_numbers( $totals[0] );

			$db_intervals = $wpdb->get_col(
				"SELECT
							{$intervals_query['select_clause']} AS time_interval
						FROM
							{$table_name}
							{$intervals_query['from_clause']}
						WHERE
							1=1
							{$intervals_query['where_time_clause']}
							{$intervals_query['where_clause']}
						GROUP BY
							time_interval"
			); // WPCS: cache ok, DB call ok, , unprepared SQL ok.

			$db_interval_count       = count( $db_intervals );
			$expected_interval_count = WC_Admin_Reports_Interval::intervals_between( $query_args['after'], $query_args['before'], $query_args['interval'] );
			$total_pages             = (int) ceil( $expected_interval_count / $intervals_query['per_page'] );

			if ( $query_args['page'] < 1 || $query_args['page'] > $total_pages ) {
				return $data;
			}

			$this->update_intervals_sql_params( $intervals_query, $query_args, $db_interval_count, $expected_interval_count, $table_name );

			if ( '' !== $selections ) {
				$selections = ', ' . $selections;
			}

			$intervals = $wpdb->get_results(
				"SELECT
							MAX(date_created) AS datetime_anchor,
							{$intervals_query['select_clause']} AS time_interval
							{$selections}
						FROM
							{$table_name}
							{$intervals_query['from_clause']}
						WHERE
							1=1
							{$intervals_query['where_time_clause']}
							{$intervals_query['where_clause']}
						GROUP BY
							time_interval
						ORDER BY
							{$intervals_query['order_by_clause']}
						{$intervals_query['limit']}",
				ARRAY_A
			); // WPCS: cache ok, DB call ok, unprepared SQL ok.

			if ( null === $intervals ) {
				return new WP_Error( 'woocommerce_reports_revenue_result_failed', __( 'Sorry, fetching revenue data failed.', 'wc-admin' ) );
			}

			$intervals_segments = $this->get_segments( 'intervals', $query_args, $intervals_query, $table_name, $all_segments );

			// Pigeon hole segments.
			$this->assign_segments_to_intervals( $intervals, $intervals_segments );

			$data = (object) array(
				'totals'    => $totals,
				'intervals' => $intervals,
				'total'     => $expected_interval_count,
				'pages'     => $total_pages,
				'page_no'   => (int) $query_args['page'],
			);

			if ( WC_Admin_Reports_Interval::intervals_missing( $expected_interval_count, $db_interval_count, $intervals_query['per_page'], $query_args['page'], $query_args['order'], $query_args['orderby'], count( $intervals ) ) ) {
				$this->fill_in_missing_intervals( $db_intervals, $query_args['adj_after'], $query_args['adj_before'], $query_args['interval'], $data );
				$this->sort_intervals( $data, $query_args['orderby'], $query_args['order'] );
				$this->remove_extra_records( $data, $query_args['page'], $intervals_query['per_page'], $db_interval_count, $expected_interval_count, $query_args['orderby'] );
				$this->fill_in_missing_interval_segments( $query_args, $data, $all_segments );
			} else {
				$this->update_interval_boundary_dates( $query_args['after'], $query_args['before'], $query_args['interval'], $data->intervals );
			}
			$this->create_interval_subtotals( $data->intervals );

			wp_cache_set( $cache_key, $data, $this->cache_group );
		}

		return $data;
	}

	/**
	 * Get unique products based on user time query
	 *
	 * @param string $from_clause       From clause with date query.
	 * @param string $where_time_clause Where clause with date query.
	 * @param string $where_clause      Where clause with date query.
	 * @return integer Unique product count.
	 */
	public function get_unique_product_count( $from_clause, $where_time_clause, $where_clause ) {
		global $wpdb;

		$table_name = $wpdb->prefix . self::TABLE_NAME;

		return $wpdb->get_var(
			"SELECT
					COUNT( DISTINCT {$wpdb->prefix}wc_order_product_lookup.product_id )
				FROM
				    {$wpdb->prefix}wc_order_product_lookup JOIN {$table_name} ON {$wpdb->prefix}wc_order_product_lookup.order_id = {$table_name}.order_id
					{$from_clause}
				WHERE
					1=1
					{$where_time_clause}
					{$where_clause}"
		); // WPCS: cache ok, DB call ok, unprepared SQL ok.
	}

	/**
	 * Queue a background process that will repopulate the entire orders stats database.
	 *
	 * @todo Make this work on large DBs.
	 */
	public static function queue_order_stats_repopulate_database() {

		// This needs to be updated to work in batches instead of getting all orders, as
		// that will not work well on DBs with more than a few hundred orders.
		$order_ids = wc_get_orders(
			array(
				'limit'  => -1,
				'status' => parent::get_report_order_statuses(),
				'type'   => 'shop_order',
				'return' => 'ids',
			)
		);

		foreach ( $order_ids as $id ) {
			self::$background_process->push_to_queue( $id );
		}

		self::$background_process->save();
		self::$background_process->dispatch();
	}

	/**
	 * Add order information to the lookup table when orders are created or modified.
	 *
	 * @param int $post_id Post ID.
	 */
	public static function sync_order( $post_id ) {
		if ( 'shop_order' !== get_post_type( $post_id ) ) {
			return;
		}

		$order = wc_get_order( $post_id );
		if ( ! $order ) {
			return;
		}

		self::update( $order );
	}

	/**
	 * Syncs order information when a refund is deleted.
	 *
	 * @param int $refund_id Refund ID.
	 * @param int $order_id Order ID.
	 */
	public static function sync_on_refund_delete( $refund_id, $order_id ) {
		self::sync_order( $order_id );
	}

	/**
	 * Update the database with stats data.
	 *
	 * @param WC_Order $order Order to update row for.
	 * @return int|bool|null Number or rows modified or false on failure.
	 */
	public static function update( $order ) {
		global $wpdb;
		$table_name = $wpdb->prefix . self::TABLE_NAME;

		if ( ! $order->get_id() || ! $order->get_date_created() ) {
			return false;
		}

		if ( ! in_array( $order->get_status(), parent::get_report_order_statuses(), true ) ) {
			$wpdb->delete(
				$table_name,
				array(
					'order_id' => $order->get_id(),
				)
			);
			return;
		}

		$data   = array(
			'order_id'           => $order->get_id(),
			'date_created'       => $order->get_date_created()->date( 'Y-m-d H:i:s' ),
			'num_items_sold'     => self::get_num_items_sold( $order ),
			'gross_total'        => $order->get_total(),
			'coupon_total'       => $order->get_total_discount(),
			'refund_total'       => $order->get_total_refunded(),
			'tax_total'          => $order->get_total_tax(),
			'shipping_total'     => $order->get_shipping_total(),
			'net_total'          => (float) $order->get_total() - (float) $order->get_total_tax() - (float) $order->get_shipping_total(),
			'returning_customer' => self::is_returning_customer( $order ),
			'status'             => self::normalize_order_status( $order->get_status() ),
		);
		$format = array(
			'%d',
			'%s',
			'%d',
			'%f',
			'%f',
			'%f',
			'%f',
			'%f',
			'%f',
			'%d',
			'%s',
		);

		// Ensure we're associating this order with a Customer in the lookup table.
		$order_user_id        = $order->get_customer_id();
		$customers_data_store = new WC_Admin_Reports_Customers_Data_Store();

		if ( 0 === $order_user_id ) {
			$email = $order->get_billing_email( 'edit' );

			if ( $email ) {
				$customer_id = $customers_data_store->get_or_create_guest_customer_from_order( $order );

				if ( $customer_id ) {
					$data['customer_id'] = $customer_id;
					$format[] = '%d';
				}
			}
		} else {
			$customer = $customers_data_store->get_customer_by_user_id( $order_user_id );

			if ( $customer && $customer['customer_id'] ) {
				$data['customer_id'] = $customer['customer_id'];
				$format[] = '%d';
			}
		}

		// Update or add the information to the DB.
		return $wpdb->replace( $table_name, $data, $format );
	}

	/**
	 * Calculation methods.
	 */

	/**
	 * Get number of items sold among all orders.
	 *
	 * @param array $order WC_Order object.
	 * @return int
	 */
	protected static function get_num_items_sold( $order ) {
		$num_items = 0;

		$line_items = $order->get_items( 'line_item' );
		foreach ( $line_items as $line_item ) {
			$num_items += $line_item->get_quantity();
		}

		return $num_items;
	}

	/**
	 * Check to see if an order's customer has made previous orders or not
	 *
	 * @param array $order WC_Order object.
	 * @return bool
	 */
	protected static function is_returning_customer( $order ) {
		$customer_id = $order->get_user_id();

		if ( 0 === $customer_id ) {
			return false;
		}

		$customer_orders = get_posts(
			array(
				'meta_key'    => '_customer_user', // WPCS: slow query ok.
				'meta_value'  => $customer_id, // WPCS: slow query ok.
				'post_type'   => 'shop_order',
				'post_status' => array( 'wc-on-hold', 'wc-processing', 'wc-completed' ),
				'numberposts' => 2,
			)
		);

		return count( $customer_orders ) > 1;
	}

	/**
	 * Returns string to be used as cache key for the data.
	 *
	 * @param array $params Query parameters.
	 * @return string
	 */
	protected function get_cache_key( $params ) {
		return 'woocommerce_' . self::TABLE_NAME . '_' . md5( wp_json_encode( $params ) );
	}
}