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Factor out the segmentation code so that it's more reusable and clutters orders/stats data store less.

This commit is contained in:
Peter Fabian 2019-01-17 12:14:24 +01:00
parent e8a14f63e4
commit 25bb5e06df
4 changed files with 931 additions and 827 deletions
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4
plugins/woocommerce-admin/includes/class-wc-admin-api-init.php
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@ -46,6 +46,10 @@ class WC_Admin_Api_Init {
// Common date time code.
require_once dirname( __FILE__ ) . '/class-wc-admin-reports-interval.php';
// Segmentation.
require_once dirname( __FILE__ ) . '/class-wc-admin-reports-segmenting.php';
require_once dirname( __FILE__ ) . '/class-wc-admin-reports-orders-stats-segmenting.php';
// Query classes for reports.
require_once dirname( __FILE__ ) . '/class-wc-admin-reports-revenue-query.php';
require_once dirname( __FILE__ ) . '/class-wc-admin-reports-orders-query.php';

442
plugins/woocommerce-admin/includes/class-wc-admin-reports-orders-stats-segmenting.php Normal file
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@ -0,0 +1,442 @@
<?php
/**
* Class for adding segmenting support without cluttering the data stores.
*
* @package WooCommerce Admin/Classes
*/
defined( 'ABSPATH' ) || exit;
/**
* Date & time interval and numeric range handling class for Reporting API.
*/
class WC_Admin_Reports_Orders_Stats_Segmenting extends WC_Admin_Reports_Segmenting {
/**
* 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 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( $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($products_table.shipping_amount) AS shipping",
// TODO: product_net_revenue should already have refunds subtracted, so it should not be here. Pls check.
'net_revenue' => "SUM($products_table.product_net_revenue) AS net_revenue",
);
return $this->prepare_selections( $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 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( $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( $columns_mapping );
}
/**
* 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 string $order_stats_table 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( $order_stats_table, $overrides = array() ) {
$columns_mapping = array(
'num_items_sold' => "SUM($order_stats_table.num_items_sold) as num_items_sold",
'gross_revenue' => "SUM($order_stats_table.gross_total) AS gross_revenue",
'coupons' => "SUM($order_stats_table.coupon_total) AS coupons",
'refunds' => "SUM($order_stats_table.refund_total) AS refunds",
'taxes' => "SUM($order_stats_table.tax_total) AS taxes",
'shipping' => "SUM($order_stats_table.shipping_total) AS shipping",
'net_revenue' => "SUM($order_stats_table.net_total) - SUM($order_stats_table.refund_total) AS net_revenue",
'orders_count' => "COUNT($order_stats_table.order_id) AS orders_count",
'avg_items_per_order' => "AVG($order_stats_table.num_items_sold) AS avg_items_per_order",
'avg_order_value' => "(SUM($order_stats_table.net_total) - SUM($order_stats_table.refund_total))/COUNT($order_stats_table.order_id) AS avg_order_value",
'num_returning_customers' => "SUM($order_stats_table.returning_customer) AS num_returning_customers",
'num_new_customers' => "COUNT($order_stats_table.returning_customer) - SUM($order_stats_table.returning_customer) AS num_new_customers",
);
if ( $overrides ) {
$columns_mapping = array_merge( $columns_mapping, $overrides );
}
return $this->prepare_selections( $columns_mapping );
}
/**
* 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.
*
* @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 ) {
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( $this->get_all_segments() );
// 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.
*
* @return array
*/
protected function get_order_related_intervals_segments( $segmenting_select, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $intervals_query ) {
global $wpdb;
$limit_parts = explode( ',', $intervals_query['limit'] );
$orig_rowcount = intval( $limit_parts[1] );
$segmenting_limit = $limit_parts[0] . ',' . $orig_rowcount * count( $this->get_all_segments() );
$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_params SQL query parameter array.
* @param string $table_name Name of main SQL table for the data store (used as basis for JOINS).
*
* @return array
* @throws WC_REST_Exception In case of segmenting by variations, when no parent product is specified.
*/
protected function get_segments( $type, $query_params, $table_name ) {
global $wpdb;
if ( ! isset( $this->query_args['segmentby'] ) || '' === $this->query_args['segmentby'] ) {
return array();
}
$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' === $this->query_args['segmentby'] ) {
// TODO: how to handle shipping taxes when grouped by product?
$segmenting_selections = array(
'product_level' => $this->get_segment_selections_product_level( $product_segmenting_table ),
'order_level' => $this->get_segment_selections_order_level( $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 );
} elseif ( 'variation' === $this->query_args['segmentby'] ) {
if ( ! isset( $this->query_args['product_includes'] ) || count( $this->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( $product_segmenting_table ),
'order_level' => $this->get_segment_selections_order_level( $unique_orders_table ),
);
$segmenting_from = "INNER JOIN $product_segmenting_table ON ($table_name.order_id = $product_segmenting_table.order_id)";
$segmenting_where = "AND $product_segmenting_table.product_id = {$this->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 );
} elseif ( 'category' === $this->query_args['segmentby'] ) {
$segmenting_selections = array(
'product_level' => $this->get_segment_selections_product_level( $product_segmenting_table ),
'order_level' => $this->get_segment_selections_order_level( $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 );
} elseif ( 'coupon' === $this->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( $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 );
} elseif ( 'customer_type' === $this->query_args['segmentby'] ) {
$segmenting_selections = $this->segment_selections_orders( $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 );
}
return $segments;
}
/**
* Returns an array of segments for totals part of REST response.
*
* @param array $query_params Totals SQL query parameters.
* @param string $table_name Name of the SQL table that is the main order stats table.
*
* @return array
*/
public function get_totals_segments( $query_params, $table_name ) {
$segments = $this->get_segments( 'totals', $query_params, $table_name );
return $this->fill_in_missing_segments( $segments );
}
/**
* Adds an array of segments to data->intervals object.
*
* @param stdClass $data Data object representing the REST response.
* @param array $intervals_query Intervals SQL query parameters.
* @param string $table_name Name of the SQL table that is the main order stats table.
*/
public function add_intervals_segments( &$data, $intervals_query, $table_name ) {
$intervals_segments = $this->get_segments( 'intervals', $intervals_query, $table_name );
$this->assign_segments_to_intervals( $data->intervals, $intervals_segments );
$this->fill_in_missing_interval_segments( $data );
}
}

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plugins/woocommerce-admin/includes/class-wc-admin-reports-segmenting.php Normal file
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@ -0,0 +1,481 @@
<?php
/**
* Class for adding segmenting support without cluttering the data stores.
*
* @package WooCommerce Admin/Classes
*/
defined( 'ABSPATH' ) || exit;
/**
* Date & time interval and numeric range handling class for Reporting API.
*/
class WC_Admin_Reports_Segmenting {
/**
* Array of all segment ids.
*
* @var array|bool
*/
protected $all_segment_ids = false;
/**
* Query arguments supplied by the user for data store.
*
* @var array
*/
protected $query_args = '';
/**
* SQL definition for each column.
*
* @var array
*/
protected $report_columns = array();
/**
* WC_Admin_Reports_Segmenting constructor.
*
* @param array $query_args Query arguments supplied by the user for data store.
* @param array $report_columns Report columns lookup from data store.
*/
public function __construct( $query_args, $report_columns ) {
$this->query_args = $query_args;
$this->report_columns = $report_columns;
}
/**
* Filters definitions for SELECT clauses based on query_args and joins them into one string usable in SELECT clause.
*
* @param array $columns_mapping Column name -> SQL statememt mapping.
*
* @return string to be used in SELECT clause statements.
*/
protected function prepare_selections( $columns_mapping ) {
if ( isset( $this->query_args['fields'] ) && is_array( $this->query_args['fields'] ) ) {
$keep = array();
foreach ( $this->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;
}
/**
* 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' => $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' => $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' => $segment_data,
);
$aggregated_segment_result[ $time_interval ]['segments'][ $segment_id ] = $segment_datum;
}
return $aggregated_segment_result;
}
/**
* Fetches all segment ids from db and stores it for later use.
*
* @return array
*/
protected function set_all_segments() {
global $wpdb;
if ( ! isset( $this->query_args['segmentby'] ) || '' === $this->query_args['segmentby'] ) {
$this->all_segment_ids = array();
}
if ( 'product' === $this->query_args['segmentby'] ) {
$segments = wc_get_products(
array(
'return' => 'ids',
'limit' => -1,
)
);
} elseif ( 'variation' === $this->query_args['segmentby'] ) {
// TODO: assuming that this will only be used for one product, check assumption.
if ( ! isset( $this->query_args['product_includes'] ) || count( $this->query_args['product_includes'] ) !== 1 ) {
return array();
}
$segments = wc_get_products(
array(
'return' => 'ids',
'limit' => - 1,
'type' => 'variation',
'parent' => $this->query_args['product_includes'][0],
)
);
} elseif ( 'category' === $this->query_args['segmentby'] ) {
$categories = get_categories(
array(
'taxonomy' => 'product_cat',
)
);
$segments = wp_list_pluck( $categories, 'cat_ID' );
} elseif ( 'coupon' === $this->query_args['segmentby'] ) {
// TODO: switch to a non-direct-SQL way to get all coupons?
$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' === $this->query_args['segmentby'] ) {
// 0 -- new customer
// 1 -- returning customer
$segments = array( 0, 1 );
} else {
// Catch all default.
$segments = array();
}
$this->all_segment_ids = $segments;
}
/**
* Return all segment ids for given segmentby query parameter.
*
* @return array
*/
protected function get_all_segments() {
if ( ! is_array( $this->all_segment_ids ) ) {
$this->set_all_segments();
}
return $this->all_segment_ids;
}
/**
* Compares two report data objects by pre-defined object property and ASC/DESC ordering.
*
* @param stdClass $a Object a.
* @param stdClass $b Object b.
* @return string
*/
private function segment_cmp( $a, $b ) {
if ( $a['segment_id'] === $b['segment_id'] ) {
return 0;
} elseif ( $a['segment_id'] > $b['segment_id'] ) {
return 1;
} elseif ( $a['segment_id'] < $b['segment_id'] ) {
return - 1;
}
}
/**
* Adds zeroes for segments not present in the data selection.
*
* @param array $segments Array of segments from the database for given data points.
*
* @return array
*/
protected function fill_in_missing_segments( $segments ) {
$segment_subtotals = array();
if ( isset( $this->query_args['fields'] ) && is_array( $this->query_args['fields'] ) ) {
foreach ( $this->query_args['fields'] as $field ) {
if ( isset( $this->report_columns[ $field ] ) ) {
$segment_subtotals[ $field ] = 0;
}
}
} else {
foreach ( $this->report_columns as $field => $sql_clause ) {
$segment_subtotals[ $field ] = 0;
}
}
if ( ! is_array( $segments ) ) {
$segments = array();
}
$all_segment_ids = $this->get_all_segments();
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.
$segments_no_keys = array_values( $segments );
usort( $segments_no_keys, array( $this, 'segment_cmp' ) );
return $segments_no_keys;
}
/**
* Adds missing segments to intervals, modifies $data.
*
* @param stdClass $data Response data.
*/
protected function fill_in_missing_interval_segments( &$data ) {
foreach ( $data->intervals as $order_id => $interval_data ) {
$data->intervals[ $order_id ]['segments'] = $this->fill_in_missing_segments( $data->intervals[ $order_id ]['segments'] );
}
}
/**
* 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.
*
* @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 ) {
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 );
}
}
/**
* 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.
*
* @return array
*/
protected function get_order_related_segments( $type, $segmenting_select, $segmenting_from, $segmenting_where, $segmenting_groupby, $table_name, $query_params ) {
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 );
}
}
/**
* 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;
$intervals[ $interval['time_interval'] ]['segments'] = array();
}
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'];
}
// To remove time interval keys (so that REST response is formatted correctly).
$intervals = array_values( $intervals );
}
}

831
plugins/woocommerce-admin/includes/data-stores/class-wc-admin-reports-orders-stats-data-store.php
View File

@ -196,824 +196,6 @@ class WC_Admin_Reports_Orders_Stats_Data_Store extends WC_Admin_Reports_Data_Sto
}
}
/**
* 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($products_table.shipping_amount) AS shipping",
// TODO: product_net_revenue should already have refunds subtracted, so it should not be here. Pls check.
'net_revenue' => "SUM($products_table.product_net_revenue) 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
*/
protected function get_all_segments( $query_args ) {
global $wpdb;
if ( ! isset( $query_args['segmentby'] ) || '' === $query_args['segmentby'] ) {
return array();
}
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 array();
}
$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 => $sql_clause ) {
$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.
$segments_no_keys = array_values( $segments );
$this->sort_array( $segments_no_keys, 'segment_id', 'asc' );
return $segments_no_keys;
}
/**
* 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
* @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'] ) || '' === $query_args['segmentby'] ) {
return array();
}
$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;
$intervals[ $interval['time_interval'] ]['segments'] = array();
}
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'];
}
// To remove time interval keys (so that REST response is formatted correctly).
$intervals = array_values( $intervals );
}
/**
* Returns the report data based on parameters supplied by the user.
*
@ -1089,9 +271,9 @@ class WC_Admin_Reports_Orders_Stats_Data_Store extends WC_Admin_Reports_Data_Sto
$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 );
$segmenting = new WC_Admin_Reports_Orders_Stats_Segmenting( $query_args, $this->report_columns );
$totals[0]['segments'] = $segmenting->get_totals_segments( $totals_query, $table_name );
$totals = (object) $this->cast_numbers( $totals[0] );
$db_intervals = $wpdb->get_col(
@ -1146,11 +328,6 @@ class WC_Admin_Reports_Orders_Stats_Data_Store extends WC_Admin_Reports_Data_Sto
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,
@ -1163,10 +340,10 @@ class WC_Admin_Reports_Orders_Stats_Data_Store extends WC_Admin_Reports_Data_Sto
$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 );
}
$segmenting->add_intervals_segments( $data, $intervals_query, $table_name );
$this->create_interval_subtotals( $data->intervals );
wp_cache_set( $cache_key, $data, $this->cache_group );