2018-09-24 17:46:37 +00:00
< ? php
/**
* Reports order stats tests .
*
2020-08-11 19:18:47 +00:00
* @ package WooCommerce\Admin\Tests\Orders
2018-12-11 11:39:44 +00:00
*/
2019-08-05 18:14:25 +00:00
use \Automattic\WooCommerce\Admin\API\Reports\Orders\Stats\DataStore as OrdersStatsDataStore ;
2019-08-06 19:11:33 +00:00
use \Automattic\WooCommerce\Admin\API\Reports\Orders\Stats\Query as OrdersStatsQuery ;
2019-08-06 20:41:01 +00:00
use \Automattic\WooCommerce\Admin\API\Reports\TimeInterval ;
2019-08-05 18:14:25 +00:00
2018-12-11 11:39:44 +00:00
/**
2019-01-15 01:53:02 +00:00
* Class WC_Tests_Reports_Orders_Stats
2018-09-24 17:46:37 +00:00
*/
2019-01-15 01:53:02 +00:00
class WC_Tests_Reports_Orders_Stats extends WC_Unit_Test_Case {
2019-12-17 21:21:44 +00:00
/**
* Don ' t cache report data during these tests .
*/
public static function setUpBeforeClass () {
add_filter ( 'woocommerce_analytics_report_should_use_cache' , '__return_false' );
}
/**
* Restore cache for other tests .
*/
public static function tearDownAfterClass () {
remove_filter ( 'woocommerce_analytics_report_should_use_cache' , '__return_false' );
}
2018-09-24 17:46:37 +00:00
/**
* Test the calculations and querying works correctly for the base case of 1 order .
*
* @ since 3.5 . 0
*/
public function test_populate_and_query () {
WC_Helper_Reports :: reset_stats_dbs ();
// Populate all of the data.
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( 25 );
$product -> save ();
2019-04-03 01:37:17 +00:00
$coupon = WC_Helper_Coupon :: create_coupon ( 'test-coupon' );
$coupon -> set_amount ( 20 );
$coupon -> save ();
2018-09-24 17:46:37 +00:00
$order = WC_Helper_Order :: create_order ( 1 , $product );
$order -> set_status ( 'completed' );
$order -> set_shipping_total ( 10 );
2019-04-03 01:37:17 +00:00
$order -> apply_coupon ( $coupon );
2018-09-24 17:46:37 +00:00
$order -> set_cart_tax ( 5 );
$order -> set_shipping_tax ( 2 );
$order -> set_total ( 97 ); // $25x4 products + $10 shipping - $20 discount + $7 tax.
$order -> save ();
2018-12-05 02:06:00 +00:00
$refund = wc_create_refund (
array (
2019-02-01 20:48:54 +00:00
'amount' => 12 ,
'order_id' => $order -> get_id (),
2018-12-05 02:06:00 +00:00
)
);
2019-01-30 16:59:45 +00:00
WC_Helper_Queue :: run_all_pending ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2018-09-24 17:46:37 +00:00
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:00:00' , $order -> get_date_created () -> getOffsetTimestamp () );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order -> get_date_created () -> getOffsetTimestamp () );
2018-09-24 17:46:37 +00:00
$args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 1 ,
'num_items_sold' => 4 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 68 ,
'total_sales' => 85 ,
'gross_sales' => 100 ,
'coupons' => 20 ,
'coupons_count' => 1 ,
'refunds' => 12 ,
'taxes' => 7 ,
'shipping' => 10 ,
'net_revenue' => 68 ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2018-09-24 17:46:37 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2018-09-24 17:46:37 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'total_sales' => 85 ,
'gross_sales' => 100 ,
'net_revenue' => 68 ,
'coupons' => 20 ,
'coupons_count' => 1 ,
'shipping' => 10 ,
'taxes' => 7 ,
'refunds' => 12 ,
'orders_count' => 1 ,
'num_items_sold' => 4 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 68 ,
'total_customers' => 1 ,
'segments' => array (),
2018-09-24 17:46:37 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
// Test retrieving the stats from the data store.
2019-02-14 21:14:52 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $args ) ), true ) );
2018-09-24 17:46:37 +00:00
// Test retrieving the stats through the query class.
2019-08-06 19:11:33 +00:00
$query = new OrdersStatsQuery ( $args );
2018-09-24 17:46:37 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'net_revenue' => 68 ,
'avg_order_value' => 68 ,
'orders_count' => 1 ,
'avg_items_per_order' => 4 ,
'num_items_sold' => 4 ,
'coupons' => 20 ,
'coupons_count' => 1 ,
'total_customers' => 1 ,
'products' => '1' ,
'segments' => array (),
2018-09-24 17:46:37 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2018-09-24 17:46:37 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'net_revenue' => 68 ,
'avg_order_value' => 68 ,
'orders_count' => 1 ,
'avg_items_per_order' => 4 ,
'num_items_sold' => 4 ,
'coupons' => 20 ,
'coupons_count' => 1 ,
'total_customers' => 1 ,
'segments' => array (),
2018-09-24 17:46:37 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $query -> get_data () ), true ) );
2018-09-24 17:46:37 +00:00
}
2019-02-04 02:52:29 +00:00
/**
* Test that querying statuses includes the default or query - specific statuses .
*/
public function test_populate_and_query_statuses () {
WC_Helper_Reports :: reset_stats_dbs ();
// Populate all of the data.
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( 25 );
$product -> save ();
$order_types = array (
array (
'status' => 'refunded' ,
'total' => 50 ,
),
array (
'status' => 'completed' ,
'total' => 100 ,
),
array (
'status' => 'failed' ,
'total' => 75 ,
),
);
foreach ( $order_types as $order_type ) {
$order = WC_Helper_Order :: create_order ( 1 , $product );
$order -> set_status ( $order_type [ 'status' ] );
$order -> set_total ( $order_type [ 'total' ] );
$order -> set_shipping_total ( 0 );
$order -> set_cart_tax ( 0 );
$order -> save ();
}
2019-02-04 23:59:08 +00:00
WC_Helper_Queue :: run_all_pending ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-02-04 02:52:29 +00:00
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:00:00' , $order -> get_date_created () -> getOffsetTimestamp () );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order -> get_date_created () -> getOffsetTimestamp () );
2019-02-04 02:52:29 +00:00
// Query default statuses that should not include excluded or refunded order statuses.
$args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 2 ,
'num_items_sold' => 8 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 50 ,
'total_sales' => 100 ,
'gross_sales' => 150 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 50 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 100 ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-04 02:52:29 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2019-02-04 02:52:29 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'total_sales' => 100 ,
'gross_sales' => 150 ,
'net_revenue' => 100 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'shipping' => 0 ,
'taxes' => 0 ,
'refunds' => 50 ,
'orders_count' => 2 ,
'num_items_sold' => 8 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 50 ,
'total_customers' => 1 ,
'segments' => array (),
2019-02-04 02:52:29 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $args ) ), true ) );
2019-02-04 02:52:29 +00:00
// Query an excluded status which should still return orders with the queried status.
$args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
'status_is' => array ( 'failed' ),
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 1 ,
'num_items_sold' => 4 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 75 ,
'total_sales' => 75 ,
'gross_sales' => 75 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 75 ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-04 02:52:29 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2019-02-04 02:52:29 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'total_sales' => 75 ,
'gross_sales' => 75 ,
'net_revenue' => 75 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'shipping' => 0 ,
'taxes' => 0 ,
'refunds' => 0 ,
'orders_count' => 1 ,
'num_items_sold' => 4 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 75 ,
'total_customers' => 1 ,
'segments' => array (),
2019-02-04 02:52:29 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $args ) ), true ) );
2019-02-04 02:52:29 +00:00
}
2019-05-10 06:56:57 +00:00
/**
* Test refund type filtering .
*/
public function test_populate_and_query_refunds () {
WC_Helper_Reports :: reset_stats_dbs ();
// Populate all of the data.
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( 25 );
$product -> save ();
$order_types = array (
array (
'status' => 'refunded' ,
'total' => 50 ,
),
array (
'status' => 'completed' ,
'total' => 100 ,
),
array (
'status' => 'completed' ,
'total' => 75 ,
),
);
foreach ( $order_types as $order_type ) {
$order = WC_Helper_Order :: create_order ( 1 , $product );
$order -> set_status ( $order_type [ 'status' ] );
$order -> set_total ( $order_type [ 'total' ] );
$order -> set_shipping_total ( 0 );
$order -> set_cart_tax ( 0 );
$order -> save ();
}
// Add a partial refund on the last order.
$refund = wc_create_refund (
array (
'amount' => 10 ,
'order_id' => $order -> get_id (),
)
);
WC_Helper_Queue :: run_all_pending ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-05-10 06:56:57 +00:00
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:00:00' , $order -> get_date_created () -> getOffsetTimestamp () );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order -> get_date_created () -> getOffsetTimestamp () );
2019-05-10 06:56:57 +00:00
// Query all refunds.
$args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
'refunds' => 'all' ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_sales' => - 60 ,
'gross_sales' => 0 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 60 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => - 60 ,
'total_customers' => 1 ,
'products' => 0 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2019-05-10 06:56:57 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'total_sales' => - 60 ,
'gross_sales' => 0 ,
'net_revenue' => - 60 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'shipping' => 0 ,
'taxes' => 0 ,
'refunds' => 60 ,
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_customers' => 1 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $args ) ), true ) );
// Query all non-refunds.
$args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
'refunds' => 'none' ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 3 ,
'num_items_sold' => 12 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 75 ,
'total_sales' => 225 ,
'gross_sales' => 225 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 225 ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2019-05-10 06:56:57 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'total_sales' => 225 ,
'gross_sales' => 225 ,
'net_revenue' => 225 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'shipping' => 0 ,
'taxes' => 0 ,
'refunds' => 0 ,
'orders_count' => 3 ,
'num_items_sold' => 12 ,
'avg_items_per_order' => 4 ,
'avg_order_value' => 75 ,
'total_customers' => 1 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $args ) ), true ) );
// Query partial refunds.
$args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
'refunds' => 'partial' ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_sales' => - 10 ,
'gross_sales' => 0 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 10 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => - 10 ,
'total_customers' => 1 ,
'products' => 0 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2019-05-10 06:56:57 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'total_sales' => - 10 ,
'gross_sales' => 0 ,
'net_revenue' => - 10 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'shipping' => 0 ,
'taxes' => 0 ,
'refunds' => 10 ,
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_customers' => 1 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $args ) ), true ) );
// Query full refunds.
$args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
'refunds' => 'full' ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_sales' => - 50 ,
'gross_sales' => 0 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 50 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => - 50 , // @todo - does this value make sense?
'total_customers' => 1 ,
'products' => 0 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
'intervals' => array (
array (
2019-11-22 15:06:14 +00:00
'interval' => gmdate ( 'Y-m-d H' , $order -> get_date_created () -> getOffsetTimestamp () ),
2019-05-10 06:56:57 +00:00
'date_start' => $start_time ,
'date_start_gmt' => $start_time ,
'date_end' => $end_time ,
'date_end_gmt' => $end_time ,
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'total_sales' => - 50 ,
'gross_sales' => 0 ,
'net_revenue' => - 50 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'shipping' => 0 ,
'taxes' => 0 ,
'refunds' => 50 ,
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_customers' => 1 ,
'segments' => array (),
2019-05-10 06:56:57 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $args ) ), true ) );
}
2019-07-05 17:44:08 +00:00
/**
* Test the calculation of multiple coupons on orders .
*/
public function test_populate_and_query_multiple_coupons () {
global $wpdb ;
WC_Helper_Reports :: reset_stats_dbs ();
// Create a product and customer.
$customer = WC_Helper_Customer :: create_customer ( 'cust_1' , 'pwd_1' , 'user_1@mail.com' );
$product_price = 23.45 ;
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( $product_price );
$product -> save ();
// create 3 coupons valued 1,2,3.
$coupons = array ();
foreach ( range ( 1 , 3 ) as $amount ) {
$coupon = WC_Helper_Coupon :: create_coupon ( 'coupon_' . $amount );
$coupon -> set_amount ( $amount );
$coupon -> save ();
$coupons [ $amount ] = $coupon ;
}
// Create 3 orders with 1, 2, 3 coupons applied respectively.
$minute_ago = time () - MINUTE_IN_SECONDS ;
$report_start_time = $minute_ago - ( $minute_ago % HOUR_IN_SECONDS );
$order_time = $report_start_time + 1 ;
$applied_coupons = 0 ;
$applied_amount = 0 ;
$orders_total = 0 ;
$orders = array ();
foreach ( range ( 1 , 3 ) as $order_number ) {
$order = WC_Helper_Order :: create_order ( $customer -> get_id (), $product );
$order -> set_date_created ( $order_time ++ );
$order -> set_status ( 'completed' );
foreach ( $coupons as $amount => $coupon ) {
if ( $amount >= $order_number ) {
$order -> apply_coupon ( $coupon );
$applied_coupons ++ ;
$applied_amount += $amount ;
}
}
$order -> calculate_totals ();
$orders_total += $order -> get_total ();
$order -> save ();
$orders [] = $order ;
}
WC_Helper_Queue :: run_all_pending ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-07-05 17:44:08 +00:00
// Test for the current hour.
$current_hour_start = new DateTime ();
$current_hour_start -> setTimestamp ( $report_start_time );
$current_hour_end = new DateTime ();
$current_hour_end -> setTimestamp ( $report_start_time + HOUR_IN_SECONDS - 1 );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-07-05 17:44:08 +00:00
'interval' => 'hour' ,
);
$order_shipping = 10 ; // Hardcoded in WC_Helper_Order::create_order.
$qty_per_product = 4 ; // Hardcoded in WC_Helper_Order::create_order.
2020-06-18 17:43:56 +00:00
$total_customers = 1 ;
2019-07-05 17:44:08 +00:00
$orders_count = count ( $orders );
$coupons_count = count ( $coupons );
$num_items_sold = $orders_count * $qty_per_product ;
$shipping = $orders_count * $order_shipping ;
$net_revenue = $orders_total - $shipping ;
2019-11-22 15:06:14 +00:00
$gross_sales = $product_price * $num_items_sold ;
2019-07-05 17:44:08 +00:00
$subtotals = array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $orders_total ,
'gross_sales' => $gross_sales ,
'coupons' => $applied_amount ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2019-07-05 17:44:08 +00:00
);
$totals = array_merge ( $subtotals , array ( 'products' => 1 ) );
$expected_stats = array (
'totals' => $totals ,
'intervals' => array (
array (
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => $subtotals ,
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
}
2018-09-24 17:46:37 +00:00
/**
* Test the calculations and querying works correctly for the case of multiple orders .
*/
2018-11-27 16:04:16 +00:00
public function test_populate_and_query_multiple_intervals () {
global $wpdb ;
2019-01-24 23:06:59 +00:00
WC_Helper_Reports :: reset_stats_dbs ();
2018-11-27 16:04:16 +00:00
2019-07-05 17:44:08 +00:00
// 4 different products.
2018-11-27 16:04:16 +00:00
$product_1_price = 25 ;
$product_1 = new WC_Product_Simple ();
$product_1 -> set_name ( 'Test Product' );
$product_1 -> set_regular_price ( $product_1_price );
$product_1 -> save ();
$product_2_price = 10 ;
$product_2 = new WC_Product_Simple ();
$product_2 -> set_name ( 'Test Product 2' );
$product_2 -> set_regular_price ( $product_2_price );
$product_2 -> save ();
$product_3_price = 13 ;
$product_3 = new WC_Product_Simple ();
$product_3 -> set_name ( 'Test Product 3' );
$product_3 -> set_regular_price ( $product_3_price );
$product_3 -> save ();
$product_4_price = 1 ;
$product_4 = new WC_Product_Simple ();
$product_4 -> set_name ( 'Test Product 4' );
$product_4 -> set_regular_price ( $product_4_price );
$product_4 -> save ();
// 2 different coupons
$coupon_1_amount = 1 ; // by default in create_coupon.
$coupon_1 = WC_Helper_Coupon :: create_coupon ( 'coupon_1' );
$coupon_2_amount = 2 ;
$coupon_2 = WC_Helper_Coupon :: create_coupon ( 'coupon_2' );
$coupon_2 -> set_amount ( $coupon_2_amount );
$coupon_2 -> save ();
$order_status_1 = 'completed' ;
$order_status_2 = 'processing' ;
$customer_1 = WC_Helper_Customer :: create_customer ( 'cust_1' , 'pwd_1' , 'user_1@mail.com' );
$customer_2 = WC_Helper_Customer :: create_customer ( 'cust_2' , 'pwd_2' , 'user_2@mail.com' );
2020-06-30 15:02:28 +00:00
$order_1_datetime = new DateTime ();
$order_1_hour = ( int ) $order_1_datetime -> format ( 'H' );
$order_1_datetime -> setTime ( $order_1_hour , 10 , 0 ); // Set a time near the top of the hour.
$order_1_time = $order_1_datetime -> format ( 'U' );
// One more order needs to fit into the same hour, but also be one second later than this one.
$order_2_time = $order_1_time + 1 ;
2018-11-27 16:04:16 +00:00
$this_ [ 'hour' ] = array ( 1 , 2 );
$this_ [ 'day' ] = array ( 1 , 2 );
$this_ [ 'week' ] = array ( 1 , 2 );
$this_ [ 'month' ] = array ( 1 , 2 );
$this_ [ 'year' ] = array ( 1 , 2 );
$order [ 1 ][ 'year' ] = ( int ) $order_1_datetime -> format ( 'Y' );
$order [ 1 ][ 'month' ] = ( int ) $order_1_datetime -> format ( 'm' );
$order [ 1 ][ 'week' ] = ( int ) $order_1_datetime -> format ( 'W' );
$order [ 1 ][ 'day' ] = ( int ) $order_1_datetime -> format ( 'd' );
$order [ 1 ][ 'hour' ] = ( int ) $order_1_datetime -> format ( 'H' );
// same day, different hour.
$order_3_datetime = new DateTime ();
$order_3_datetime = $order_3_datetime -> setTimestamp ( $order_1_time - HOUR_IN_SECONDS );
$order_3_time = $order_3_datetime -> format ( 'U' );
$order [ 3 ][ 'year' ] = ( int ) $order_3_datetime -> format ( 'Y' );
$order [ 3 ][ 'month' ] = ( int ) $order_3_datetime -> format ( 'm' );
$order [ 3 ][ 'week' ] = ( int ) $order_3_datetime -> format ( 'W' );
$order [ 3 ][ 'day' ] = ( int ) $order_3_datetime -> format ( 'd' );
// Previous day.
$order_4_datetime = new DateTime ();
$order_4_datetime = $order_4_datetime -> setTimestamp ( $order_1_time - DAY_IN_SECONDS );
$order_4_time = $order_4_datetime -> format ( 'U' );
$order [ 4 ][ 'year' ] = ( int ) $order_4_datetime -> format ( 'Y' );
$order [ 4 ][ 'month' ] = ( int ) $order_4_datetime -> format ( 'm' );
$order [ 4 ][ 'week' ] = ( int ) $order_4_datetime -> format ( 'W' );
$order [ 4 ][ 'day' ] = ( int ) $order_4_datetime -> format ( 'd' );
// Previous week.
$order_5_datetime = new DateTime ();
$order_5_datetime = $order_5_datetime -> setTimestamp ( $order_1_time - WEEK_IN_SECONDS );
$order_5_time = $order_5_datetime -> format ( 'U' );
$order [ 5 ][ 'year' ] = ( int ) $order_5_datetime -> format ( 'Y' );
$order [ 5 ][ 'month' ] = ( int ) $order_5_datetime -> format ( 'm' );
$order [ 5 ][ 'week' ] = ( int ) $order_5_datetime -> format ( 'W' );
$order [ 5 ][ 'day' ] = ( int ) $order_5_datetime -> format ( 'd' );
// Previous month.
$order_6_datetime = new DateTime ();
$order_6_datetime = $order_6_datetime -> setTimestamp ( $order_1_time - MONTH_IN_SECONDS );
$order_6_time = $order_6_datetime -> format ( 'U' );
$order [ 6 ][ 'year' ] = ( int ) $order_6_datetime -> format ( 'Y' );
$order [ 6 ][ 'month' ] = ( int ) $order_6_datetime -> format ( 'm' );
$order [ 6 ][ 'week' ] = ( int ) $order_6_datetime -> format ( 'W' );
$order [ 6 ][ 'day' ] = ( int ) $order_6_datetime -> format ( 'd' );
// Previous year.
$order_7_datetime = new DateTime ();
$order_7_datetime = $order_7_datetime -> setTimestamp ( $order_1_time - YEAR_IN_SECONDS );
$order_7_time = $order_7_datetime -> format ( 'U' );
$order [ 7 ][ 'year' ] = ( int ) $order_7_datetime -> format ( 'Y' );
$order [ 7 ][ 'month' ] = ( int ) $order_7_datetime -> format ( 'm' );
$order [ 7 ][ 'week' ] = ( int ) $order_7_datetime -> format ( 'W' );
$order [ 7 ][ 'day' ] = ( int ) $order_7_datetime -> format ( 'd' );
foreach ( array ( 3 , 4 , 5 , 6 , 7 ) as $order_no ) {
if ( $order [ $order_no ][ 'day' ] === $order [ 1 ][ 'day' ] && $order [ $order_no ][ 'month' ] === $order [ 1 ][ 'month' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$this_ [ 'day' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'week' ] === $order [ 1 ][ 'week' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$this_ [ 'week' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'month' ] === $order [ 1 ][ 'month' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$this_ [ 'month' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$this_ [ 'year' ][] = $order_no ;
}
}
$orders = array ();
// 2 different order statuses, plus new vs returning customer
$qty_per_product = 4 ; // Hardcoded in WC_Helper_Order::create_order.
2020-06-30 15:02:28 +00:00
$iterations = 1 ;
2018-11-27 16:04:16 +00:00
foreach ( array ( $product_1 , $product_2 , $product_3 ) as $product ) {
foreach ( array ( null , $coupon_1 , $coupon_2 ) as $coupon ) {
foreach ( array ( $order_status_1 , $order_status_2 ) as $order_status ) {
foreach ( array ( $customer_1 , $customer_2 ) as $customer ) {
foreach (
array (
$order_1_time ,
$order_2_time ,
) as $order_time
) { // As there are no tests for different timeframes, ignore these for now: $order_3_time, $order_4_time, $order_5_time, $order_6_time, $order_7_time
// One order with only 1 product.
$order = WC_Helper_Order :: create_order ( $customer -> get_id (), $product );
2020-06-30 15:02:28 +00:00
$order -> set_date_created ( $order_time + $iterations ++ ); // offset each order by 1 second.
2018-11-27 16:04:16 +00:00
$order -> set_status ( $order_status );
if ( $coupon ) {
$order -> apply_coupon ( $coupon );
}
$order -> calculate_totals ();
$order -> save ();
$orders [] = $order ;
// One order with 2 products: product_4 and selected product.
$order_2 = WC_Helper_Order :: create_order ( $customer -> get_id (), $product_4 );
$item = new WC_Order_Item_Product ();
$item -> set_props (
array (
'product' => $product ,
'quantity' => 4 ,
'subtotal' => wc_get_price_excluding_tax ( $product , array ( 'qty' => 4 ) ),
'total' => wc_get_price_excluding_tax ( $product , array ( 'qty' => 4 ) ),
)
);
$item -> save ();
$order_2 -> add_item ( $item );
2020-06-30 15:02:28 +00:00
$order_2 -> set_date_created ( $order_time + $iterations ++ ); // offset each order by 1 second.
2018-11-27 16:04:16 +00:00
$order_2 -> set_status ( $order_status );
if ( $coupon ) {
$order_2 -> apply_coupon ( $coupon );
}
$order_2 -> calculate_totals ();
$order_2 -> save ();
$orders [] = $order_2 ;
}
}
}
}
}
2019-01-30 16:59:45 +00:00
WC_Helper_Queue :: run_all_pending ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2018-11-27 16:04:16 +00:00
// Tests for before & after set to current hour.
2019-01-24 23:06:59 +00:00
$current_hour_start = new DateTime ();
$current_hour_start -> setTimestamp ( $order_1_time );
$current_hour_minutes = ( int ) $current_hour_start -> format ( 'i' );
$current_hour_start -> setTimestamp ( $order_1_time - $current_hour_minutes * MINUTE_IN_SECONDS );
2018-11-27 16:04:16 +00:00
2019-01-24 23:06:59 +00:00
$current_hour_end = new DateTime ();
$current_hour_end -> setTimestamp ( $order_1_time );
$order_1_seconds = ( int ) $current_hour_end -> format ( 'U' ) % HOUR_IN_SECONDS ;
$current_hour_end -> setTimestamp ( $order_1_time + ( HOUR_IN_SECONDS - $order_1_seconds ) - 1 );
2018-11-27 16:04:16 +00:00
// All orders, no filters.
// 72 orders in one batch (3 products * 3 coupon options * 2 order statuses * 2 customers * 2 orders), 4 items of each product per order
// 24 orders without coupons, 48 with coupons: 24 with $1 coupon and 24 with $2 coupon.
// shipping is $10 per order.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
);
$order_permutations = 72 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 24 ;
2020-06-18 17:43:56 +00:00
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product + $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
2018-11-27 16:04:16 +00:00
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2020-06-18 17:43:56 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
$total_customers = 2 ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// * Order status filter
// ** Status is, positive filter for 2 statuses, i.e. all orders.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
$order_status_2 ,
),
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Status is, positive filter for 1 status -> half orders.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
),
);
$order_permutations = 36 ;
$order_w_coupon_1_perms = 12 ;
$order_w_coupon_2_perms = 12 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Status is not, negative filter for 1 status -> half orders.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is_not' => array (
$order_status_2 ,
),
);
$order_permutations = 36 ;
$order_w_coupon_1_perms = 12 ;
$order_w_coupon_2_perms = 12 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Status is not, negative filter for 2 statuses -> no orders.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is_not' => array (
$order_status_1 ,
$order_status_2 ,
),
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'total_sales' => 0 ,
'gross_sales' => 0 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_customers' => 0 ,
'products' => 0 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'total_sales' => 0 ,
'gross_sales' => 0 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_customers' => 0 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Status is + Status is not, positive filter for 2 statuses, negative for 1 -> half of orders.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
$order_status_2 ,
),
'status_is_not' => array (
$order_status_2 ,
),
);
$order_permutations = 36 ;
$order_w_coupon_1_perms = 12 ;
$order_w_coupon_2_perms = 12 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// * Product filter
// ** Product includes, positive filter for 2 products, i.e. 2 orders out of 3.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'product_includes' => array (
$product_1 -> get_id (),
$product_2 -> get_id (),
),
);
$order_permutations = 48 ;
$order_w_coupon_1_perms = 16 ;
$order_w_coupon_2_perms = 16 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 4 )
+ $product_2_price * $qty_per_product * ( $orders_count / 4 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 4 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 4 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 3 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Product includes, positive filter for 1 product, 1/3 of orders
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'product_includes' => array (
$product_3 -> get_id (),
),
);
$order_permutations = 24 ;
$order_w_coupon_1_perms = 8 ;
$order_w_coupon_2_perms = 8 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_3_price * $qty_per_product * ( $orders_count / 2 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
// product 3 and product 4 (that is sometimes included in the orders with product 3).
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Product excludes, negative filter for 1 product, 2/3 of orders.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'product_excludes' => array (
$product_1 -> get_id (),
),
);
$order_permutations = 48 ;
$order_w_coupon_1_perms = 16 ;
$order_w_coupon_2_perms = 16 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_3_price * $qty_per_product * ( $orders_count / 4 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 4 )
+ $product_2_price * $qty_per_product * ( $orders_count / 4 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 4 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 3 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Product excludes, negative filter for 2 products, 1/3 of orders
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'product_excludes' => array (
$product_1 -> get_id (),
$product_2 -> get_id (),
),
);
$order_permutations = 24 ;
$order_w_coupon_1_perms = 8 ;
$order_w_coupon_2_perms = 8 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_3_price * $qty_per_product * ( $orders_count / 2 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Product includes + product excludes, positive filter for 2 products, negative for 1 -> 1/3 of orders, only orders with product 2 and product 2 + product 4
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'product_includes' => array (
$product_1 -> get_id (),
$product_2 -> get_id (),
),
'product_excludes' => array (
$product_1 -> get_id (),
),
);
$order_permutations = 24 ;
$order_w_coupon_1_perms = 8 ;
$order_w_coupon_2_perms = 8 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_2_price * $qty_per_product * ( $orders_count / 2 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// * Coupon filters
// ** Coupon includes, positive filter for 2 coupons, i.e. 2/3 of orders.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'coupon_includes' => array (
$coupon_1 -> get_id (),
$coupon_2 -> get_id (),
),
);
$order_permutations = 48 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 24 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Coupon includes, positive filter for 1 coupon, 1/3 of orders
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 24 ;
$order_w_coupon_1_perms = 24 ;
2019-04-01 02:16:57 +00:00
$order_w_coupon_2_perms = 0 ;
2018-11-27 16:04:16 +00:00
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Coupon excludes, negative filter for 1 coupon, 2/3 of orders
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'coupon_excludes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 48 ;
2019-04-01 02:16:57 +00:00
$order_w_coupon_1_perms = 0 ;
2018-11-27 16:04:16 +00:00
$order_w_coupon_2_perms = 24 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Coupon excludes, negative filter for 2 coupons, 1/3 of orders
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'coupon_excludes' => array (
$coupon_1 -> get_id (),
$coupon_2 -> get_id (),
),
);
$order_permutations = 24 ;
$order_w_coupon_1_perms = 0 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Coupon includes + coupon excludes, positive filter for 2 coupon, negative for 1, 1/3 orders
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'coupon_includes' => array (
$coupon_1 -> get_id (),
$coupon_2 -> get_id (),
),
'coupon_excludes' => array (
$coupon_2 -> get_id (),
),
);
$order_permutations = 24 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// * Customer filters
// ** Customer new
$query_args = array (
2020-12-06 22:39:29 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
'interval' => 'hour' ,
'customer_type' => 'new' ,
2018-11-27 16:04:16 +00:00
);
2019-02-14 03:14:01 +00:00
$orders_count = 2 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
2019-02-14 03:14:01 +00:00
$net_revenue = $product_1_price * $qty_per_product * $orders_count ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 1 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// ** Customer returning
$query_args = array (
2020-12-06 22:39:29 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ), // I don't think this makes sense.... gmdate( 'Y-m-d H:i:s', $orders[0]->get_date_created()->getOffsetTimestamp() + 1 ), // Date after initial order to get a returning customer.
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
'interval' => 'hour' ,
'customer_type' => 'returning' ,
2018-11-27 16:04:16 +00:00
);
2019-02-14 03:14:01 +00:00
$total_orders_count = 144 ;
$returning_orders_count = 2 ;
2018-11-27 16:04:16 +00:00
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 24 ;
2019-02-14 03:14:01 +00:00
$orders_count = $total_orders_count - $returning_orders_count ;
$num_items_sold = $total_orders_count * 6 - ( $returning_orders_count * 4 );
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2019-01-17 02:47:30 +00:00
$shipping = $orders_count * 10 ;
2019-02-14 03:14:01 +00:00
$net_revenue = $product_1_price * $qty_per_product * ( $total_orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $total_orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $total_orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $total_orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $total_orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $total_orders_count / 6 )
- $product_1_price * $qty_per_product * $returning_orders_count
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => round ( $num_items_sold / $orders_count , 4 ),
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $returning_orders_count ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
2019-08-06 20:41:01 +00:00
'date_start' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'date_start_gmt' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-24 23:06:59 +00:00
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => round ( $num_items_sold / $orders_count , 4 ),
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $returning_orders_count ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-01-24 23:06:59 +00:00
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } ; " );
2018-11-27 16:04:16 +00:00
// Combinations: match all
2018-12-11 11:39:44 +00:00
// status_is + product_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
);
$order_permutations = 12 ;
$order_w_coupon_1_perms = 4 ;
$order_w_coupon_2_perms = 4 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 2 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is + coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 12 ;
$order_w_coupon_1_perms = 12 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// product_includes + coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'product_includes' => array (
$product_1 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 8 ;
$order_w_coupon_1_perms = 8 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 2 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is + product_includes + coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 4 ;
$order_w_coupon_1_perms = 4 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 2 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is + status_is_not + product_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
$order_status_2 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 4 ;
$order_w_coupon_1_perms = 4 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 2 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is + status_is_not + product_includes + product_excludes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
$order_status_2 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
$product_2 -> get_id (),
),
'product_excludes' => array (
$product_4 -> get_id (),
),
);
$order_permutations = 12 ;
$order_w_coupon_1_perms = 4 ;
$order_w_coupon_2_perms = 4 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count * $qty_per_product ; // No 2-item-orders here.
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 2 )
+ $product_2_price * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
2018-11-27 16:04:16 +00:00
// Prod_1, status_1, no coupon orders included here, so 2 new cust orders.
2020-06-18 17:43:56 +00:00
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is + status_is_not + product_includes + product_excludes + coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
$order_status_2 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
$product_2 -> get_id (),
),
'product_excludes' => array (
$product_4 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 4 ;
$order_w_coupon_1_perms = 4 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 2 )
+ $product_2_price * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is + status_is_not + product_includes + product_excludes + coupon_includes + coupon_excludes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'status_is' => array (
$order_status_1 ,
$order_status_2 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
$product_2 -> get_id (),
),
'product_excludes' => array (
$product_4 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
$coupon_2 -> get_id (),
),
'coupon_excludes' => array (
$coupon_2 -> get_id (),
),
);
$order_permutations = 4 ;
$order_w_coupon_1_perms = 4 ;
$order_w_coupon_2_perms = 0 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 2 )
+ $product_2_price * $qty_per_product * ( $orders_count / 2 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'products' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 2 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
// Combinations: match any
2018-12-11 11:39:44 +00:00
// status_is + status_is_not, all orders.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'status_is_not' => array (
$order_status_1 ,
),
);
$order_permutations = 72 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 24 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR product_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
);
$order_permutations = 48 ;
$order_w_coupon_1_perms = 16 ;
$order_w_coupon_2_perms = 16 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 4 )
+ $product_2_price * $qty_per_product * ( $orders_count / 8 )
+ $product_3_price * $qty_per_product * ( $orders_count / 8 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 4 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 8 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 8 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 48 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 12 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR coupon_excludes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'coupon_excludes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 60 ;
$order_w_coupon_1_perms = 12 ;
$order_w_coupon_2_perms = 24 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count / 6 )
+ $product_2_price * $qty_per_product * ( $orders_count / 6 )
+ $product_3_price * $qty_per_product * ( $orders_count / 6 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count / 6 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// product_includes OR coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'product_includes' => array (
$product_1 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 40 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 8 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count * 3 / 10 )
+ $product_2_price * $qty_per_product * ( $orders_count * 1 / 10 )
+ $product_3_price * $qty_per_product * ( $orders_count * 1 / 10 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count * 3 / 10 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 10 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 10 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR product_includes OR coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 56 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 16 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count * 3 / 14 )
+ $product_2_price * $qty_per_product * ( $orders_count * 1 / 7 )
+ $product_3_price * $qty_per_product * ( $orders_count * 1 / 7 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count * 3 / 14 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 7 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 7 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR status_is_not OR product_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 56 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 16 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count * 3 / 14 )
+ $product_2_price * $qty_per_product * ( $orders_count * 1 / 7 )
+ $product_3_price * $qty_per_product * ( $orders_count * 1 / 7 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count * 3 / 14 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 7 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 7 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR status_is_not OR product_includes OR product_excludes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
'product_excludes' => array (
$product_2 -> get_id (),
),
);
$order_permutations = 60 ;
$order_w_coupon_1_perms = 20 ;
$order_w_coupon_2_perms = 20 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count * 1 / 5 )
+ $product_2_price * $qty_per_product * ( $orders_count * 1 / 10 )
+ $product_3_price * $qty_per_product * ( $orders_count * 1 / 5 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 5 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 10 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 5 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR status_is_not OR product_includes OR product_excludes OR coupon_includes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
'product_excludes' => array (
$product_2 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
);
$order_permutations = 64 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 20 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count * 3 / 16 )
+ $product_2_price * $qty_per_product * ( $orders_count * 1 / 8 )
+ $product_3_price * $qty_per_product * ( $orders_count * 3 / 16 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count * 3 / 16 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count * 1 / 8 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count * 3 / 16 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
2018-12-11 11:39:44 +00:00
// status_is OR status_is_not OR product_includes OR product_excludes OR coupon_includes OR coupon_excludes.
2018-11-27 16:04:16 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2018-11-27 16:04:16 +00:00
'interval' => 'hour' ,
'match' => 'any' ,
'status_is' => array (
$order_status_1 ,
),
'status_is_not' => array (
$order_status_2 ,
),
'product_includes' => array (
$product_1 -> get_id (),
),
'product_excludes' => array (
$product_2 -> get_id (),
),
'coupon_includes' => array (
$coupon_1 -> get_id (),
),
'coupon_excludes' => array (
$coupon_2 -> get_id (),
),
);
$order_permutations = 68 ;
$order_w_coupon_1_perms = 24 ;
$order_w_coupon_2_perms = 20 ;
$orders_count = count ( $this_ [ 'hour' ] ) * $order_permutations ;
$num_items_sold = $orders_count / 2 * $qty_per_product
+ $orders_count / 2 * $qty_per_product * 2 ;
$coupons = count ( $this_ [ 'hour' ] ) * ( $order_w_coupon_1_perms * $coupon_1_amount + $order_w_coupon_2_perms * $coupon_2_amount );
2019-04-01 02:16:57 +00:00
$coupons_count = ( $order_w_coupon_1_perms ? 1 : 0 ) + ( $order_w_coupon_2_perms ? 1 : 0 );
2018-11-27 16:04:16 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_1_price * $qty_per_product * ( $orders_count * 3 / 17 )
+ $product_2_price * $qty_per_product * ( $orders_count * 5 / 34 )
+ $product_3_price * $qty_per_product * ( $orders_count * 3 / 17 )
+ ( $product_1_price + $product_4_price ) * $qty_per_product * ( $orders_count * 3 / 17 )
+ ( $product_2_price + $product_4_price ) * $qty_per_product * ( $orders_count * 5 / 34 )
+ ( $product_3_price + $product_4_price ) * $qty_per_product * ( $orders_count * 3 / 17 )
- $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2018-11-27 16:04:16 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 4 ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
'intervals' => array (
array (
2019-01-24 23:06:59 +00:00
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
2018-11-27 16:04:16 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2018-11-27 16:04:16 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2018-11-27 16:04:16 +00:00
}
2019-01-29 22:21:09 +00:00
/**
* Test if lookup tables are cleaned after delete an order .
*
2019-08-12 21:52:09 +00:00
* @ covers \Automattic\WooCommerce\Admin\API\Reports\Orders\Stats\DataStore :: delete_order
* @ covers \Automattic\WooCommerce\Admin\API\Reports\Products\DataStore :: sync_on_order_delete
* @ covers \Automattic\WooCommerce\Admin\API\Reports\Coupons\DataStore :: sync_on_order_delete
* @ covers \Automattic\WooCommerce\Admin\API\Reports\Taxes\DataStore :: sync_on_order_delete
2019-01-29 22:21:09 +00:00
*/
public function test_order_deletion () {
global $wpdb ;
WC_Helper_Reports :: reset_stats_dbs ();
// Tables to check.
$tables = array (
'wc_order_coupon_lookup' ,
'wc_order_product_lookup' ,
'wc_order_stats' ,
'wc_order_tax_lookup' ,
);
// Enable taxes.
$default_calc_taxes = get_option ( 'woocommerce_calc_taxes' , 'no' );
$default_customer_address = get_option ( 'woocommerce_default_customer_address' , 'geolocation' );
$default_tax_based_on = get_option ( 'woocommerce_tax_based_on' , 'shipping' );
update_option ( 'woocommerce_calc_taxes' , 'yes' );
update_option ( 'woocommerce_default_customer_address' , 'base' );
update_option ( 'woocommerce_tax_based_on' , 'base' );
// Create tax.
$tax_id = WC_Tax :: _insert_tax_rate (
array (
'tax_rate_country' => '' ,
'tax_rate_state' => '' ,
'tax_rate' => '10.0000' ,
'tax_rate_name' => 'VAT' ,
'tax_rate_priority' => '1' ,
'tax_rate_compound' => '0' ,
'tax_rate_shipping' => '1' ,
'tax_rate_order' => '1' ,
'tax_rate_class' => '' ,
)
);
// Create product.
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( 25 );
$product -> save ();
// Create coupon.
$coupon = new WC_Coupon ();
$coupon -> set_code ( '20fixed' );
$coupon -> set_discount_type ( 'fixed_cart' );
$coupon -> set_amount ( 20 );
$coupon -> save ();
// Create order.
2019-04-25 14:22:57 +00:00
$order = WC_Helper_Order :: create_order ();
2019-01-29 22:21:09 +00:00
$order -> add_product ( $product , 1 );
$order -> set_status ( 'completed' );
$order -> set_shipping_total ( 10 );
$order -> apply_coupon ( $coupon );
$order -> save ();
2019-02-05 18:15:39 +00:00
WC_Helper_Queue :: run_all_pending ();
2019-01-29 22:21:09 +00:00
// Check if lookup tables are populated.
foreach ( $tables as $table ) {
$results = $wpdb -> get_results (
$wpdb -> prepare (
" SELECT * FROM { $wpdb -> prefix } { $table } WHERE order_id = %d " , // phpcs:ignore
$order -> get_id ()
)
);
$this -> assertTrue ( is_array ( $results ) && ( bool ) count ( $results ) );
}
// Delete order and clean all other objects too.
$order -> delete ( true );
$product -> delete ( true );
$coupon -> delete ( true );
WC_Tax :: _delete_tax_rate ( $tax_id );
// Check if results are empty now.
foreach ( $tables as $table ) {
$results = $wpdb -> get_results (
$wpdb -> prepare (
" SELECT * FROM { $wpdb -> prefix } { $table } WHERE order_id = %d " , // phpcs:ignore
$order -> get_id ()
)
);
$this -> assertEmpty ( $results );
}
// Reset taxes settings.
update_option ( 'woocommerce_calc_taxes' , $default_customer_address );
update_option ( 'woocommerce_default_customer_address' , $default_calc_taxes );
update_option ( 'woocommerce_tax_based_on' , $default_tax_based_on );
}
2019-02-01 20:24:26 +00:00
2019-02-01 20:48:54 +00:00
/**
2019-01-15 10:16:31 +00:00
* Test segmenting by product id and by variation id .
*/
public function test_segmenting_by_product_and_variation () {
// Simple product.
$product_1_price = 25 ;
$product_1 = new WC_Product_Simple ();
$product_1 -> set_name ( 'Simple Product' );
$product_1 -> set_regular_price ( $product_1_price );
$product_1 -> save ();
// Variable product.
$product_2 = new WC_Product_Variable ();
$product_2 -> set_name ( 'Variable Product' );
$product_2 -> save ();
$child_1 = new WC_Product_Variation ();
$child_1 -> set_parent_id ( $product_2 -> get_id () );
$child_1 -> set_regular_price ( 23 );
$child_1 -> save ();
$child_2 = new WC_Product_Variation ();
$child_2 -> set_parent_id ( $product_2 -> get_id () );
$child_2 -> set_regular_price ( 27 );
$child_2 -> save ();
$product_2 -> set_children ( array ( $child_1 -> get_id (), $child_2 -> get_id () ) );
$child_1 -> set_stock_status ( 'instock' );
$child_1 -> save ();
$child_2 -> set_stock_status ( 'instock' );
$child_2 -> save ();
WC_Product_Variable :: sync ( $product_2 );
// Simple product, not used.
$product_3_price = 17 ;
$product_3 = new WC_Product_Simple ();
$product_3 -> set_name ( 'Simple Product not used' );
$product_3 -> set_regular_price ( $product_3_price );
$product_3 -> save ();
$order_status = 'completed' ;
$customer_1 = WC_Helper_Customer :: create_customer ( 'cust_1' , 'pwd_1' , 'user_1@mail.com' );
$order_1_time = time ();
$order_3_time = $order_1_time - 1 * HOUR_IN_SECONDS ;
// Order 3: 4 x product 1, done one hour earlier.
$order_3 = WC_Helper_Order :: create_order ( $customer_1 -> get_id (), $product_1 );
$order_3 -> set_date_created ( $order_3_time );
$order_3 -> set_status ( $order_status );
$order_3 -> calculate_totals ();
$order_3 -> save ();
// Order 1: 4 x product 1 & 3 x product 2-child 1.
$order_1 = WC_Helper_Order :: create_order ( $customer_1 -> get_id (), $product_1 );
$item = new WC_Order_Item_Product ();
$item -> set_props (
array (
'product_id' => $product_2 -> get_id (),
'variation_id' => $child_1 -> get_id (),
'quantity' => 3 ,
'subtotal' => 3 * floatval ( $child_1 -> get_price () ),
'total' => 3 * floatval ( $child_1 -> get_price () ),
)
);
$item -> save ();
$order_1 -> add_item ( $item );
$order_1 -> set_status ( $order_status );
$order_1 -> calculate_totals ();
$order_1 -> save ();
// Order 2: 4 x product 2-child 1 & 1 x product 2-child 2.
$order_2 = WC_Helper_Order :: create_order ( $customer_1 -> get_id (), $child_1 );
$item = new WC_Order_Item_Product ();
$item -> set_props (
array (
'product_id' => $product_2 -> get_id (),
'variation_id' => $child_2 -> get_id (),
'quantity' => 1 ,
'subtotal' => floatval ( $child_2 -> get_price () ),
'total' => floatval ( $child_2 -> get_price () ),
)
);
$item -> save ();
$order_2 -> add_item ( $item );
$order_2 -> set_status ( $order_status );
$order_2 -> calculate_totals ();
$order_2 -> save ();
2019-02-04 18:46:46 +00:00
WC_Helper_Queue :: run_all_pending ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-01-15 10:16:31 +00:00
// Tests for before & after set to current hour.
$now = new DateTime ();
$two_hours_back = new DateTime ();
$i1_start_timestamp = $order_1_time - 2 * HOUR_IN_SECONDS ;
$two_hours_back -> setTimestamp ( $i1_start_timestamp );
$i1_end_timestamp = $i1_start_timestamp + ( 3600 - ( $i1_start_timestamp % 3600 ) ) - 1 ;
$i1_start = new DateTime ();
$i1_start -> setTimestamp ( $i1_start_timestamp );
$i1_end = new DateTime ();
$i1_end -> setTimestamp ( $i1_end_timestamp );
$i2_start_timestamp = $i1_end_timestamp + 1 ;
$i2_end_timestamp = $i1_end_timestamp + 3600 ;
$i2_start = new DateTime ();
$i2_start -> setTimestamp ( $i2_start_timestamp );
$i2_end = new DateTime ();
$i2_end -> setTimestamp ( $i2_end_timestamp );
$i3_start_timestamp = $i2_end_timestamp + 1 ;
$i3_end_timestamp = $now -> format ( 'U' );
$i3_start = new DateTime ();
$i3_start -> setTimestamp ( $i3_start_timestamp );
$i3_end = new DateTime ();
$i3_end -> setTimestamp ( $i3_end_timestamp );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $two_hours_back -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $now -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-15 10:16:31 +00:00
'interval' => 'hour' ,
'segmentby' => 'product' ,
);
$shipping_amnt = 10 ;
$o1_net_revenue = 4 * $product_1_price + 3 * intval ( $child_1 -> get_price () );
$o2_net_revenue = 4 * intval ( $child_1 -> get_price () ) + 1 * intval ( $child_2 -> get_price () );
$o3_net_revenue = 4 * $product_1_price ;
$o1_num_items = 4 + 3 ;
$o2_num_items = 4 + 1 ;
$o3_num_items = 4 ;
// Totals.
2020-06-18 17:43:56 +00:00
$orders_count = 3 ;
$num_items_sold = 7 + 5 + 4 ;
$shipping = $orders_count * $shipping_amnt ;
$net_revenue = $o1_net_revenue + $o2_net_revenue + $o3_net_revenue ;
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue ;
$total_customers = 1 ;
2019-01-15 10:16:31 +00:00
// Totals segments.
$p1_orders_count = 2 ;
$p1_num_items_sold = 8 ;
$p1_shipping = round ( $shipping_amnt / $o1_num_items * 4 , 6 ) + round ( $shipping_amnt / $o3_num_items * 4 , 6 );
$p1_net_revenue = 8 * $product_1_price ;
2019-11-22 15:06:14 +00:00
$p1_total_sales = $p1_net_revenue + $p1_shipping ;
2019-01-15 10:16:31 +00:00
$p2_orders_count = 2 ;
$p2_num_items_sold = 8 ;
$p2_shipping = round ( $shipping_amnt / $o1_num_items * 3 , 6 ) + $shipping_amnt ;
$p2_net_revenue = 7 * intval ( $child_1 -> get_price () ) + 1 * intval ( $child_2 -> get_price () );
2019-11-22 15:06:14 +00:00
$p2_total_sales = $p2_net_revenue + $p2_shipping ;
2019-01-15 10:16:31 +00:00
// Interval 3.
// I3 Subtotals.
$i3_tot_orders_count = 2 ;
$i3_tot_num_items_sold = 4 + 3 + 4 + 1 ;
$i3_tot_shipping = $i3_tot_orders_count * $shipping_amnt ;
$i3_tot_net_revenue = 4 * $product_1_price + 7 * intval ( $child_1 -> get_price () ) + 1 * intval ( $child_2 -> get_price () );
2019-11-22 15:06:14 +00:00
$i3_tot_total_sales = $i3_tot_net_revenue + $i3_tot_shipping ;
2019-01-15 10:16:31 +00:00
// I3 Segments.
$i3_p1_orders_count = 1 ;
$i3_p1_num_items_sold = 4 ;
$i3_p1_shipping = round ( $shipping_amnt / $o1_num_items * 4 , 6 );
$i3_p1_net_revenue = $i3_p1_num_items_sold * $product_1_price ;
2019-11-22 15:06:14 +00:00
$i3_p1_total_sales = $i3_p1_net_revenue + $i3_p1_shipping ;
2019-01-15 10:16:31 +00:00
$i3_p2_orders_count = 2 ;
$i3_p2_num_items_sold = 8 ;
$i3_p2_shipping = round ( $shipping_amnt / $o1_num_items * 3 , 6 ) + $shipping_amnt ;
$i3_p2_net_revenue = 7 * intval ( $child_1 -> get_price () ) + 1 * intval ( $child_2 -> get_price () );
2019-11-22 15:06:14 +00:00
$i3_p2_total_sales = $i3_p2_net_revenue + $i3_p2_shipping ;
2019-01-15 10:16:31 +00:00
// Interval 2
// I2 Subtotals.
$i2_tot_orders_count = 1 ;
$i2_tot_num_items_sold = 4 ;
$i2_tot_shipping = $i2_tot_orders_count * $shipping_amnt ;
$i2_tot_net_revenue = 4 * $product_1_price ;
2019-11-22 15:06:14 +00:00
$i2_tot_total_sales = $i2_tot_net_revenue + $i2_tot_shipping ;
2019-01-15 10:16:31 +00:00
// I2 Segments.
$i2_p1_orders_count = 1 ;
$i2_p1_num_items_sold = 4 ;
$i2_p1_shipping = $shipping_amnt ;
$i2_p1_net_revenue = 4 * $product_1_price ;
2019-11-22 15:06:14 +00:00
$i2_p1_total_sales = $i2_p1_net_revenue + $i2_p1_shipping ;
2019-01-15 10:16:31 +00:00
$i2_p2_orders_count = 0 ;
$i2_p2_num_items_sold = 0 ;
$i2_p2_shipping = 0 ;
$i2_p2_net_revenue = 0 ;
2019-11-22 15:06:14 +00:00
$i2_p2_total_sales = $i2_p2_net_revenue + $i2_p2_shipping ;
2019-01-15 10:16:31 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => round ( $num_items_sold / $orders_count , 4 ),
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'products' => 2 ,
'segments' => array (
2019-01-15 10:16:31 +00:00
array (
2019-02-05 18:12:58 +00:00
'segment_id' => $product_1 -> get_id (),
'segment_label' => $product_1 -> get_name (),
2019-02-14 21:14:52 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $p1_orders_count ,
'num_items_sold' => $p1_num_items_sold ,
'total_sales' => $p1_total_sales ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $p1_shipping ,
'net_revenue' => $p1_net_revenue ,
'avg_items_per_order' => ( $o1_num_items + $o3_num_items ) / $p1_orders_count ,
'avg_order_value' => ( $o1_net_revenue + $o3_net_revenue ) / $p1_orders_count ,
'total_customers' => $total_customers ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-05 18:12:58 +00:00
'segment_id' => $product_2 -> get_id (),
'segment_label' => $product_2 -> get_name (),
2019-02-14 21:14:52 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $p2_orders_count ,
'num_items_sold' => $p2_num_items_sold ,
'total_sales' => $p2_total_sales ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $p2_shipping ,
'net_revenue' => $p2_net_revenue ,
'avg_items_per_order' => ( $o1_num_items + $o2_num_items ) / $p2_orders_count ,
'avg_order_value' => ( $o1_net_revenue + $o2_net_revenue ) / $p2_orders_count ,
'total_customers' => $total_customers ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-05 18:12:58 +00:00
'segment_id' => $product_3 -> get_id (),
'segment_label' => $product_3 -> get_name (),
2019-02-14 21:14:52 +00:00
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'total_sales' => 0 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_customers' => 0 ,
2019-01-15 10:16:31 +00:00
),
),
),
),
'intervals' => array (
array (
'interval' => $i3_start -> format ( 'Y-m-d H' ),
'date_start' => $i3_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $i3_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $i3_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $i3_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $i3_tot_orders_count ,
'num_items_sold' => $i3_tot_num_items_sold ,
'total_sales' => $i3_tot_total_sales ,
'gross_sales' => $i3_tot_net_revenue , // no coupons or refunds.
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $i3_tot_shipping ,
'net_revenue' => $i3_tot_net_revenue ,
'avg_items_per_order' => $i3_tot_num_items_sold / $i3_tot_orders_count ,
'avg_order_value' => $i3_tot_net_revenue / $i3_tot_orders_count ,
'total_customers' => $total_customers ,
'segments' => array (
2019-01-15 10:16:31 +00:00
array (
2019-02-05 18:12:58 +00:00
'segment_id' => $product_1 -> get_id (),
'segment_label' => $product_1 -> get_name (),
2019-02-14 21:14:52 +00:00
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => $i3_p1_orders_count ,
'num_items_sold' => $i3_p1_num_items_sold ,
2019-11-22 15:06:14 +00:00
'total_sales' => $i3_p1_total_sales ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $i3_p1_shipping ,
'net_revenue' => $i3_p1_net_revenue ,
'avg_items_per_order' => $o1_num_items / $i3_p1_orders_count ,
'avg_order_value' => $o1_net_revenue / $i3_p1_orders_count ,
2020-06-18 17:43:56 +00:00
'total_customers' => $total_customers ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_2 -> get_id (),
'segment_label' => $product_2 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => $i3_p2_orders_count ,
'num_items_sold' => $i3_p2_num_items_sold ,
2019-11-22 15:06:14 +00:00
'total_sales' => $i3_p2_total_sales ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $i3_p2_shipping ,
'net_revenue' => $i3_p2_net_revenue ,
'avg_items_per_order' => ( $o1_num_items + $o2_num_items ) / $i3_p2_orders_count ,
'avg_order_value' => ( $o1_net_revenue + $o2_net_revenue ) / $i3_p2_orders_count ,
2020-06-18 17:43:56 +00:00
'total_customers' => $total_customers ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_3 -> get_id (),
'segment_label' => $product_3 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
2019-11-22 15:06:14 +00:00
'total_sales' => 0 ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
2020-06-18 17:43:56 +00:00
'total_customers' => 0 ,
2019-01-15 10:16:31 +00:00
),
),
),
),
),
array (
'interval' => $i2_start -> format ( 'Y-m-d H' ),
'date_start' => $i2_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $i2_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $i2_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $i2_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $i2_tot_orders_count ,
'num_items_sold' => $i2_tot_num_items_sold ,
'total_sales' => $i2_tot_total_sales ,
'gross_sales' => $i2_tot_net_revenue , // no coupons or refunds.
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $i2_tot_shipping ,
'net_revenue' => $i2_tot_net_revenue ,
'avg_items_per_order' => $i2_tot_num_items_sold / $i2_tot_orders_count ,
'avg_order_value' => $i2_tot_net_revenue / $i2_tot_orders_count ,
'total_customers' => $total_customers ,
'segments' => array (
2019-01-15 10:16:31 +00:00
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_1 -> get_id (),
'segment_label' => $product_1 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => $i2_p1_orders_count ,
'num_items_sold' => $i2_p1_num_items_sold ,
2019-11-22 15:06:14 +00:00
'total_sales' => $i2_p1_total_sales ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $i2_p1_shipping ,
'net_revenue' => $i2_p1_net_revenue ,
'avg_items_per_order' => $o3_num_items / $i2_p1_orders_count ,
'avg_order_value' => $o3_net_revenue / $i2_p1_orders_count ,
2020-06-18 17:43:56 +00:00
'total_customers' => $total_customers ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_2 -> get_id (),
'segment_label' => $product_2 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => $i2_p2_orders_count ,
'num_items_sold' => $i2_p2_num_items_sold ,
2019-11-22 15:06:14 +00:00
'total_sales' => $i2_p2_total_sales ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $i2_p2_shipping ,
'net_revenue' => $i2_p2_net_revenue ,
'avg_items_per_order' => $i2_p2_orders_count ? $o3_num_items / $i2_p2_orders_count : 0 ,
'avg_order_value' => $i2_p2_orders_count ? $o3_net_revenue / $i2_p2_orders_count : 0 ,
2020-06-18 17:43:56 +00:00
'total_customers' => $i2_p2_orders_count ? $total_customers : 0 ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_3 -> get_id (),
'segment_label' => $product_3 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
2019-11-22 15:06:14 +00:00
'total_sales' => 0 ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
2020-06-18 17:43:56 +00:00
'total_customers' => 0 ,
2019-01-15 10:16:31 +00:00
),
),
),
),
),
array (
'interval' => $i1_start -> format ( 'Y-m-d H' ),
'date_start' => $i1_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $i1_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $i1_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $i1_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
'total_sales' => 0 ,
'gross_sales' => 0 ,
'coupons' => 0 ,
'coupons_count' => 0 ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
'total_customers' => 0 ,
'segments' => array (
2019-01-15 10:16:31 +00:00
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_1 -> get_id (),
'segment_label' => $product_1 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
2019-11-22 15:06:14 +00:00
'total_sales' => 0 ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
2020-06-18 17:43:56 +00:00
'total_customers' => 0 ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_2 -> get_id (),
'segment_label' => $product_2 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
2019-11-22 15:06:14 +00:00
'total_sales' => 0 ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
2020-06-18 17:43:56 +00:00
'total_customers' => 0 ,
2019-01-15 10:16:31 +00:00
),
),
array (
2019-02-14 21:14:52 +00:00
'segment_id' => $product_3 -> get_id (),
'segment_label' => $product_3 -> get_name (),
'subtotals' => array (
2019-01-15 10:16:31 +00:00
'orders_count' => 0 ,
'num_items_sold' => 0 ,
2019-11-22 15:06:14 +00:00
'total_sales' => 0 ,
2019-01-15 10:16:31 +00:00
'coupons' => 0 ,
2019-04-01 02:16:57 +00:00
'coupons_count' => 0 ,
2019-01-15 10:16:31 +00:00
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => 0 ,
'net_revenue' => 0 ,
'avg_items_per_order' => 0 ,
'avg_order_value' => 0 ,
2020-06-18 17:43:56 +00:00
'total_customers' => 0 ,
2019-01-15 10:16:31 +00:00
),
),
),
),
),
),
'total' => 3 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-11-22 15:06:14 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Segmenting by product, expected: ' . $this -> return_print_r ( $expected_stats ) . '; actual: ' . $this -> return_print_r ( $actual ) );
2019-01-15 10:16:31 +00:00
}
2019-01-23 21:13:00 +00:00
/**
2019-02-01 17:16:39 +00:00
* Test zero filling when ordering by date in descending and ascending order .
2019-01-23 21:13:00 +00:00
*/
2019-02-07 07:41:09 +00:00
public function test_zero_fill_order_by_date () {
2019-01-23 21:13:00 +00:00
global $wpdb ;
WC_Helper_Reports :: reset_stats_dbs ();
$product_price = 11 ;
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( $product_price );
$product -> save ();
$customer = WC_Helper_Customer :: create_customer ( 'cust_1' , 'pwd_1' , 'user_1@mail.com' );
$order_1_time = time ();
$order_2_time = $order_1_time ;
$order_during_this_ [ 'hour' ] = array ( 1 , 2 );
$order_during_this_ [ 'day' ] = array ( 1 , 2 );
$order_during_this_ [ 'week' ] = array ( 1 , 2 );
$order_during_this_ [ 'month' ] = array ( 1 , 2 );
$order_during_this_ [ 'year' ] = array ( 1 , 2 );
$order_1_datetime = new DateTime ();
$order_1_datetime = $order_1_datetime -> setTimestamp ( $order_1_time );
// Previous year.
$order_7_datetime = new DateTime ();
$order_7_datetime = $order_7_datetime -> setTimestamp ( $order_1_time - YEAR_IN_SECONDS );
$order_7_time = $order_7_datetime -> format ( 'U' );
$order [ 7 ][ 'year' ] = ( int ) $order_7_datetime -> format ( 'Y' );
$order [ 7 ][ 'month' ] = ( int ) $order_7_datetime -> format ( 'm' );
$order [ 7 ][ 'week' ] = ( int ) $order_7_datetime -> format ( 'W' );
$order [ 7 ][ 'day' ] = ( int ) $order_7_datetime -> format ( 'd' );
// Previous month.
$order_6_datetime = new DateTime ();
$order_6_datetime = $order_6_datetime -> setTimestamp ( $order_1_time - MONTH_IN_SECONDS );
$order_6_time = $order_6_datetime -> format ( 'U' );
$order [ 6 ][ 'year' ] = ( int ) $order_6_datetime -> format ( 'Y' );
$order [ 6 ][ 'month' ] = ( int ) $order_6_datetime -> format ( 'm' );
$order [ 6 ][ 'week' ] = ( int ) $order_6_datetime -> format ( 'W' );
$order [ 6 ][ 'day' ] = ( int ) $order_6_datetime -> format ( 'd' );
// Previous week.
$order_5_datetime = new DateTime ();
$order_5_datetime = $order_5_datetime -> setTimestamp ( $order_1_time - WEEK_IN_SECONDS );
$order_5_time = $order_5_datetime -> format ( 'U' );
$order [ 5 ][ 'year' ] = ( int ) $order_5_datetime -> format ( 'Y' );
$order [ 5 ][ 'month' ] = ( int ) $order_5_datetime -> format ( 'm' );
$order [ 5 ][ 'week' ] = ( int ) $order_5_datetime -> format ( 'W' );
$order [ 5 ][ 'day' ] = ( int ) $order_5_datetime -> format ( 'd' );
// Previous day.
$order_4_datetime = new DateTime ();
$order_4_datetime = $order_4_datetime -> setTimestamp ( $order_1_time - DAY_IN_SECONDS );
$order_4_time = $order_4_datetime -> format ( 'U' );
$order [ 4 ][ 'year' ] = ( int ) $order_4_datetime -> format ( 'Y' );
$order [ 4 ][ 'month' ] = ( int ) $order_4_datetime -> format ( 'm' );
$order [ 4 ][ 'week' ] = ( int ) $order_4_datetime -> format ( 'W' );
$order [ 4 ][ 'day' ] = ( int ) $order_4_datetime -> format ( 'd' );
// same day, -1 hour.
$order_3_datetime = new DateTime ();
$order_3_datetime = $order_3_datetime -> setTimestamp ( $order_1_time - HOUR_IN_SECONDS );
$order_3_time = $order_3_datetime -> format ( 'U' );
$order [ 3 ][ 'year' ] = ( int ) $order_3_datetime -> format ( 'Y' );
$order [ 3 ][ 'month' ] = ( int ) $order_3_datetime -> format ( 'm' );
$order [ 3 ][ 'week' ] = ( int ) $order_3_datetime -> format ( 'W' );
$order [ 3 ][ 'day' ] = ( int ) $order_3_datetime -> format ( 'd' );
// Current order.
$order [ 1 ][ 'year' ] = ( int ) $order_1_datetime -> format ( 'Y' );
$order [ 1 ][ 'month' ] = ( int ) $order_1_datetime -> format ( 'm' );
$order [ 1 ][ 'week' ] = ( int ) $order_1_datetime -> format ( 'W' );
$order [ 1 ][ 'day' ] = ( int ) $order_1_datetime -> format ( 'd' );
$order [ 1 ][ 'hour' ] = ( int ) $order_1_datetime -> format ( 'H' );
foreach ( array ( 3 , 4 , 5 , 6 , 7 ) as $order_no ) {
if ( $order [ $order_no ][ 'day' ] === $order [ 1 ][ 'day' ] && $order [ $order_no ][ 'month' ] === $order [ 1 ][ 'month' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'day' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'week' ] === $order [ 1 ][ 'week' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'week' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'month' ] === $order [ 1 ][ 'month' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'month' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'year' ][] = $order_no ;
}
}
$order_status = 'completed' ;
$qty_per_product = 4 ; // Hardcoded in WC_Helper_Order::create_order.
$orders = array ();
foreach (
array (
$order_7_time ,
2019-02-07 07:41:09 +00:00
$order_6_time ,
$order_5_time ,
$order_4_time ,
$order_3_time ,
$order_2_time ,
$order_1_time ,
2019-01-23 21:13:00 +00:00
) as $order_time
) {
// Order with 1 product.
$order = WC_Helper_Order :: create_order ( $customer -> get_id (), $product );
$order -> set_date_created ( $order_time );
$order -> set_status ( $order_status );
$order -> calculate_totals ();
$order -> save ();
$orders [] = $order ;
}
2019-02-05 17:46:42 +00:00
WC_Helper_Queue :: run_all_pending ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-01-23 21:13:00 +00:00
// Tests for before & after set to current hour.
$current_hour_start = new DateTime ();
$current_hour_start -> setTimestamp ( $order_1_time );
$current_hour_minutes = ( int ) $current_hour_start -> format ( 'i' );
$current_hour_start -> setTimestamp ( $order_1_time - $current_hour_minutes * MINUTE_IN_SECONDS );
$current_hour_end = new DateTime ();
$current_hour_end -> setTimestamp ( $order_1_time );
$seconds_into_hour = ( int ) $current_hour_end -> format ( 'U' ) % HOUR_IN_SECONDS ;
$current_hour_end -> setTimestamp ( $order_1_time + ( HOUR_IN_SECONDS - $seconds_into_hour ) - 1 );
// Test for current hour--only 1 hour visible.
2019-01-25 16:40:33 +00:00
// DESC.
2019-01-23 21:13:00 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-23 21:13:00 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'desc' ,
);
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
2019-04-01 02:16:57 +00:00
$coupons_count = 0 ;
2019-01-23 21:13:00 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-01-23 21:13:00 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
'intervals' => array (
array (
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-23 21:13:00 +00:00
2019-01-25 16:40:33 +00:00
// ASC -- only 1 interval, so should be the same.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-25 16:40:33 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'asc' ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-25 16:40:33 +00:00
2019-01-23 21:13:00 +00:00
/*
* Test for [ - 5 hours , now ] -- partial 1 page .
2019-01-25 16:40:33 +00:00
* bottom ... top
2019-01-23 21:13:00 +00:00
* | --------------------|------|-----|-----|
* minus 5 hours | | order1 now
* | | order2
* | now - 1 hour
* order 3
*/
2019-01-25 16:40:33 +00:00
// DESC.
2019-01-23 21:13:00 +00:00
$hour_offset = 5 ;
$minus_5_hours = new DateTime ();
$now_timestamp = ( int ) $current_hour_end -> format ( 'U' );
$minus_5_hours -> setTimestamp ( $now_timestamp - $hour_offset * HOUR_IN_SECONDS );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_5_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-23 21:13:00 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'desc' ,
);
// Expected Intervals section construction.
2019-11-22 15:06:14 +00:00
$expected_intervals = array ();
2019-01-23 21:13:00 +00:00
// Even in case this runs exactly at the hour turn second, there should still be 6 intervals:
// e.g. 20:30:51 -(minus 5 hours)- 15:30:51 means intervals 15:30:51--15:59:59, 16:00-16:59, 17, 18, 19, 20:00-20:30, i.e. 6 intervals
// also if this run exactly at 20:00 -(minus 5 hours)- 15:00, then intervals should be 15:00-15:59, 16, 17, 18, 19, 20:00-20:00.
$interval_count = $hour_offset + 1 ;
for ( $i = 0 ; $i < $interval_count ; $i ++ ) {
if ( 0 === $i ) {
$date_start = new DateTime ( $current_hour_end -> format ( 'Y-m-d H:00:00' ) );
2019-02-14 21:14:52 +00:00
$date_end = $current_hour_end ;
2019-01-23 21:13:00 +00:00
} elseif ( $hour_offset === $i ) {
$date_start = $minus_5_hours ;
$date_end = new DateTime ( $minus_5_hours -> format ( 'Y-m-d H:59:59' ) );
} else {
$hour_anchor = new DateTime ();
$hour_anchor -> setTimestamp ( $now_timestamp - $i * HOUR_IN_SECONDS );
$date_start = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:00:00' ) );
$date_end = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:59:59' ) );
}
if ( 0 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-01-23 21:13:00 +00:00
} elseif ( 1 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = 1 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-01-23 21:13:00 +00:00
} else {
2019-02-07 07:41:09 +00:00
$orders_count = 0 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 0 ;
2019-01-23 21:13:00 +00:00
}
$expected_interval = array (
'interval' => $date_start -> format ( 'Y-m-d H' ),
'date_start' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $date_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $date_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => 0 === $orders_count ? 0 : $num_items_sold / $orders_count ,
'avg_order_value' => 0 === $orders_count ? 0 : $net_revenue / $orders_count ,
'total_customers' => $returning_customers ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
);
$expected_intervals [] = $expected_interval ;
}
// Totals section.
$orders_count = count ( $order_during_this_ [ 'hour' ] ) + 1 ; // order 3 is 1 hour before order 1 & 2, so include it.
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-01-23 21:13:00 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
'intervals' => $expected_intervals ,
'total' => $interval_count ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-23 21:13:00 +00:00
2019-01-25 16:40:33 +00:00
// ASC -- reverse the intervals array, but numbers stay the same.
2019-02-14 21:14:52 +00:00
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_5_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-25 16:40:33 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'asc' ,
);
$expected_stats [ 'intervals' ] = array_reverse ( $expected_stats [ 'intervals' ] );
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-25 16:40:33 +00:00
2019-01-23 21:13:00 +00:00
/*
* Test for [ - 9 hours , now ] -- full 1 page .
2019-01-25 16:40:33 +00:00
* DESC :
* bottom ... top
2019-01-23 21:13:00 +00:00
* | --------------------|------|-----|-----|
* minus 9 hours | | order1 now
* | | order2
* | now - 1 hour
* order 3
*/
$hour_offset = 9 ;
$minus_9_hours = new DateTime ();
$now_timestamp = ( int ) $current_hour_end -> format ( 'U' );
$minus_9_hours -> setTimestamp ( $now_timestamp - $hour_offset * HOUR_IN_SECONDS );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_9_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-23 21:13:00 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'desc' ,
);
// Expected Intervals section construction.
2019-11-22 15:06:14 +00:00
$expected_intervals = array ();
2019-01-23 21:13:00 +00:00
$interval_count = $hour_offset + 1 ;
for ( $i = 0 ; $i < $interval_count ; $i ++ ) {
if ( 0 === $i ) {
$date_start = new DateTime ( $current_hour_end -> format ( 'Y-m-d H:00:00' ) );
2019-02-14 21:14:52 +00:00
$date_end = $current_hour_end ;
2019-01-23 21:13:00 +00:00
} elseif ( $hour_offset === $i ) {
$date_start = $minus_9_hours ;
$date_end = new DateTime ( $minus_9_hours -> format ( 'Y-m-d H:59:59' ) );
} else {
$hour_anchor = new DateTime ();
$hour_anchor -> setTimestamp ( $now_timestamp - $i * HOUR_IN_SECONDS );
$date_start = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:00:00' ) );
$date_end = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:59:59' ) );
}
if ( 0 === $i ) {
2020-06-18 17:43:56 +00:00
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
$total_customers = 1 ;
2019-01-23 21:13:00 +00:00
} elseif ( 1 === $i ) {
2020-06-18 17:43:56 +00:00
$orders_count = 1 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
$total_customers = 1 ;
2019-01-23 21:13:00 +00:00
} else {
2020-06-18 17:43:56 +00:00
$orders_count = 0 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
$total_customers = 0 ;
2019-01-23 21:13:00 +00:00
}
$expected_interval = array (
'interval' => $date_start -> format ( 'Y-m-d H' ),
'date_start' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $date_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $date_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => 0 === $orders_count ? 0 : $num_items_sold / $orders_count ,
'avg_order_value' => 0 === $orders_count ? 0 : $net_revenue / $orders_count ,
'total_customers' => $total_customers ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
);
$expected_intervals [] = $expected_interval ;
}
// Totals section.
$orders_count = count ( $order_during_this_ [ 'hour' ] ) + 1 ; // order 3 is 1 hour before order 1 & 2, so include it.
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-01-23 21:13:00 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
'intervals' => $expected_intervals ,
'total' => $interval_count ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-23 21:13:00 +00:00
2019-01-25 16:40:33 +00:00
// ASC -- same values, just reverse order of intervals.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_9_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-25 16:40:33 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'asc' ,
);
$expected_stats [ 'intervals' ] = array_reverse ( $expected_stats [ 'intervals' ] );
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-25 16:40:33 +00:00
2019-01-23 21:13:00 +00:00
/*
* Test for [ - 10 hours , now ] -- 1 page full , 1 interval on 2 nd page .
2019-01-25 16:40:33 +00:00
* DESC :
* bottom ... top
2019-01-23 21:13:00 +00:00
* page 1
* | --------------------|------|-----|-----|
* minus 9 hours | | order1 now
* | | order2
* | now - 1 hour
* order 3
*
* page 2
* |---|
* minus 10 hours
* minus 9 hours
*/
2019-01-25 16:40:33 +00:00
$hour_offset = 10 ;
2019-01-23 21:13:00 +00:00
$minus_10_hours = new DateTime ();
2019-01-25 16:40:33 +00:00
$now_timestamp = ( int ) $current_hour_end -> format ( 'U' );
2019-01-23 21:13:00 +00:00
$minus_10_hours -> setTimestamp ( $now_timestamp - $hour_offset * HOUR_IN_SECONDS );
2019-01-25 16:40:33 +00:00
$per_page = 10 ;
2019-01-23 21:13:00 +00:00
// Page 1.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-23 21:13:00 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'desc' ,
'page' => 1 ,
2019-01-25 16:40:33 +00:00
'per_page' => $per_page ,
2019-01-23 21:13:00 +00:00
);
// Expected Intervals section construction.
2019-11-22 15:06:14 +00:00
$expected_intervals = array ();
2019-01-25 16:40:33 +00:00
$interval_count = 11 ;
2019-01-23 21:13:00 +00:00
for ( $i = 0 ; $i < $interval_count ; $i ++ ) {
if ( 0 === $i ) {
$date_start = new DateTime ( $current_hour_end -> format ( 'Y-m-d H:00:00' ) );
2019-02-14 21:14:52 +00:00
$date_end = $current_hour_end ;
2019-01-25 16:40:33 +00:00
} elseif ( $hour_offset === $i ) {
$date_start = $minus_10_hours ;
$date_end = new DateTime ( $minus_10_hours -> format ( 'Y-m-d H:59:59' ) );
2019-01-23 21:13:00 +00:00
} else {
$hour_anchor = new DateTime ();
$hour_anchor -> setTimestamp ( $now_timestamp - $i * HOUR_IN_SECONDS );
$date_start = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:00:00' ) );
$date_end = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:59:59' ) );
}
if ( 0 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-01-23 21:13:00 +00:00
} elseif ( 1 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = 1 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-01-23 21:13:00 +00:00
} else {
2019-02-07 07:41:09 +00:00
$orders_count = 0 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 0 ;
2019-01-23 21:13:00 +00:00
}
$expected_interval = array (
'interval' => $date_start -> format ( 'Y-m-d H' ),
'date_start' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $date_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $date_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => 0 === $orders_count ? 0 : $num_items_sold / $orders_count ,
'avg_order_value' => 0 === $orders_count ? 0 : $net_revenue / $orders_count ,
'total_customers' => $returning_customers ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
);
$expected_intervals [] = $expected_interval ;
}
// Totals section.
$orders_count = count ( $order_during_this_ [ 'hour' ] ) + 1 ; // order 3 is 1 hour before order 1 & 2, so include it.
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-01-23 21:13:00 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
2019-01-25 16:40:33 +00:00
'intervals' => array_slice ( $expected_intervals , 0 , $per_page ),
2019-01-23 21:13:00 +00:00
'total' => 11 ,
'pages' => 2 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-23 21:13:00 +00:00
// Page 2.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-23 21:13:00 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'desc' ,
'page' => 2 ,
);
2019-01-25 16:40:33 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-01-25 16:40:33 +00:00
),
'intervals' => array_slice ( $expected_intervals , $per_page ),
'total' => 11 ,
'pages' => 2 ,
'page_no' => 2 ,
);
2019-01-23 21:13:00 +00:00
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-23 21:13:00 +00:00
2019-01-25 16:40:33 +00:00
/*
* Test for [ - 10 hours , now ] -- 1 page full , 1 interval on 2 nd page .
* ASC :
* bottom ... top
* page 1
* | -----------|-----|-----------|-----------|
* minus 1 hour | | | minus 10 hours
* order 3 | |
* | minus 9 hours
* minus 2 hours
*
* page 2
* |-----------|
* now hours
* minus 1 hour
*/
$expected_intervals = array_reverse ( $expected_intervals );
// Page 1.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-25 16:40:33 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'asc' ,
'page' => 1 ,
'per_page' => $per_page ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
2019-01-25 16:40:33 +00:00
'intervals' => array_slice ( $expected_intervals , 0 , $per_page ),
'total' => 11 ,
'pages' => 2 ,
'page_no' => 1 ,
2019-01-23 21:13:00 +00:00
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-23 21:13:00 +00:00
2019-01-25 16:40:33 +00:00
// Page 2.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-01-25 16:40:33 +00:00
'interval' => 'hour' ,
'orderby' => 'date' ,
'order' => 'asc' ,
'page' => 2 ,
'per_page' => $per_page ,
);
2019-01-23 21:13:00 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-01-23 21:13:00 +00:00
),
2019-01-25 16:40:33 +00:00
'intervals' => array_slice ( $expected_intervals , $per_page ),
2019-01-23 21:13:00 +00:00
'total' => 11 ,
'pages' => 2 ,
'page_no' => 2 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-01-23 21:13:00 +00:00
// Now the same should be done for days, weeks, months and years. But I'm too low on mana to do that.
}
2019-02-01 17:16:39 +00:00
/**
* Test zero filling when ordering by non - date property , in this case orders_count .
*/
2019-02-07 07:41:09 +00:00
public function test_zero_fill_order_by_orders_count () {
2019-02-01 17:16:39 +00:00
global $wpdb ;
WC_Helper_Reports :: reset_stats_dbs ();
$product_price = 11 ;
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( $product_price );
$product -> save ();
$customer = WC_Helper_Customer :: create_customer ( 'cust_1' , 'pwd_1' , 'user_1@mail.test' );
// 1 order within the current hour.
$order_1_time = time ();
$order_during_this_ [ 'hour' ] = array ( 1 );
$order_during_this_ [ 'day' ] = array ( 1 );
$order_during_this_ [ 'week' ] = array ( 1 );
$order_during_this_ [ 'month' ] = array ( 1 );
$order_during_this_ [ 'year' ] = array ( 1 );
$order_1_datetime = new DateTime ();
$order_1_datetime = $order_1_datetime -> setTimestamp ( $order_1_time );
// Create one order in previous year.
$order_7_datetime = new DateTime ();
$order_7_datetime = $order_7_datetime -> setTimestamp ( $order_1_time - YEAR_IN_SECONDS );
$order_7_time = $order_7_datetime -> format ( 'U' );
$order [ 7 ][ 'year' ] = ( int ) $order_7_datetime -> format ( 'Y' );
$order [ 7 ][ 'month' ] = ( int ) $order_7_datetime -> format ( 'm' );
$order [ 7 ][ 'week' ] = ( int ) $order_7_datetime -> format ( 'W' );
$order [ 7 ][ 'day' ] = ( int ) $order_7_datetime -> format ( 'd' );
// Create one order in previous month.
$order_6_datetime = new DateTime ();
$order_6_datetime = $order_6_datetime -> setTimestamp ( $order_1_time - MONTH_IN_SECONDS );
$order_6_time = $order_6_datetime -> format ( 'U' );
$order [ 6 ][ 'year' ] = ( int ) $order_6_datetime -> format ( 'Y' );
$order [ 6 ][ 'month' ] = ( int ) $order_6_datetime -> format ( 'm' );
$order [ 6 ][ 'week' ] = ( int ) $order_6_datetime -> format ( 'W' );
$order [ 6 ][ 'day' ] = ( int ) $order_6_datetime -> format ( 'd' );
// Create one order in previous week.
$order_5_datetime = new DateTime ();
$order_5_datetime = $order_5_datetime -> setTimestamp ( $order_1_time - WEEK_IN_SECONDS );
$order_5_time = $order_5_datetime -> format ( 'U' );
$order [ 5 ][ 'year' ] = ( int ) $order_5_datetime -> format ( 'Y' );
$order [ 5 ][ 'month' ] = ( int ) $order_5_datetime -> format ( 'm' );
$order [ 5 ][ 'week' ] = ( int ) $order_5_datetime -> format ( 'W' );
$order [ 5 ][ 'day' ] = ( int ) $order_5_datetime -> format ( 'd' );
// Create one order in previous day.
$order_4_datetime = new DateTime ();
$order_4_datetime = $order_4_datetime -> setTimestamp ( $order_1_time - DAY_IN_SECONDS );
$order_4_time = $order_4_datetime -> format ( 'U' );
$order [ 4 ][ 'year' ] = ( int ) $order_4_datetime -> format ( 'Y' );
$order [ 4 ][ 'month' ] = ( int ) $order_4_datetime -> format ( 'm' );
$order [ 4 ][ 'week' ] = ( int ) $order_4_datetime -> format ( 'W' );
$order [ 4 ][ 'day' ] = ( int ) $order_4_datetime -> format ( 'd' );
// Create one order in same day, -1 hour.
$order_3_datetime = new DateTime ();
$order_3_datetime = $order_3_datetime -> setTimestamp ( $order_1_time - HOUR_IN_SECONDS );
$order_3_time = $order_3_datetime -> format ( 'U' );
$order [ 3 ][ 'year' ] = ( int ) $order_3_datetime -> format ( 'Y' );
$order [ 3 ][ 'month' ] = ( int ) $order_3_datetime -> format ( 'm' );
$order [ 3 ][ 'week' ] = ( int ) $order_3_datetime -> format ( 'W' );
$order [ 3 ][ 'day' ] = ( int ) $order_3_datetime -> format ( 'd' );
// Current order.
$order [ 1 ][ 'year' ] = ( int ) $order_1_datetime -> format ( 'Y' );
$order [ 1 ][ 'month' ] = ( int ) $order_1_datetime -> format ( 'm' );
$order [ 1 ][ 'week' ] = ( int ) $order_1_datetime -> format ( 'W' );
$order [ 1 ][ 'day' ] = ( int ) $order_1_datetime -> format ( 'd' );
$order [ 1 ][ 'hour' ] = ( int ) $order_1_datetime -> format ( 'H' );
// 2 orders within 1 hour before now to test multiple orders within one time interval.
2019-02-14 21:14:52 +00:00
$order_2_time = $order_3_time ;
$order_during_this_ [ 'hour-1' ] = array ( 2 , 3 );
2019-02-01 17:16:39 +00:00
// In case some of the orders end up on different day/hour/month/year, we need to find out where exactly they ended up.
foreach ( array ( 3 , 4 , 5 , 6 , 7 ) as $order_no ) {
if ( $order [ $order_no ][ 'day' ] === $order [ 1 ][ 'day' ] && $order [ $order_no ][ 'month' ] === $order [ 1 ][ 'month' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'day' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'week' ] === $order [ 1 ][ 'week' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'week' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'month' ] === $order [ 1 ][ 'month' ] && $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'month' ][] = $order_no ;
}
if ( $order [ $order_no ][ 'year' ] === $order [ 1 ][ 'year' ] ) {
$order_during_this_ [ 'year' ][] = $order_no ;
}
}
$order_status = 'completed' ;
$qty_per_product = 4 ; // Hardcoded in WC_Helper_Order::create_order.
// Create orders for the test cases.
$orders = array ();
foreach (
array (
$order_7_time ,
2019-02-07 07:41:09 +00:00
$order_6_time ,
$order_5_time ,
$order_4_time ,
$order_3_time ,
$order_2_time ,
$order_1_time ,
2019-02-01 17:16:39 +00:00
) as $order_time
) {
// Order with 1 product.
$order = WC_Helper_Order :: create_order ( $customer -> get_id (), $product );
$order -> set_date_created ( $order_time );
$order -> set_status ( $order_status );
$order -> calculate_totals ();
$order -> save ();
$orders [] = $order ;
}
2019-02-05 17:46:42 +00:00
WC_Helper_Queue :: run_all_pending ();
2019-02-07 07:41:09 +00:00
global $wpdb ;
$res = $wpdb -> get_results ( " SELECT * FROM { $wpdb -> prefix } wc_order_stats " );
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-02-01 17:16:39 +00:00
// Tests for before & after set to current hour.
// (this sets minutes for current hour to 0, seconds are left as they arem e.g. 15:23:43 becomes 15:00:43).
$current_hour_start = new DateTime ();
$current_hour_start -> setTimestamp ( $order_1_time );
$current_hour_minutes = ( int ) $current_hour_start -> format ( 'i' );
$current_hour_start -> setTimestamp ( $order_1_time - $current_hour_minutes * MINUTE_IN_SECONDS );
// This is the last second of the current hour, e.g. 15:23:43 becomes 15:59:59.
$current_hour_end = new DateTime ();
$current_hour_end -> setTimestamp ( $order_1_time );
$seconds_into_hour = ( int ) $current_hour_end -> format ( 'U' ) % HOUR_IN_SECONDS ;
$current_hour_end -> setTimestamp ( $order_1_time + ( HOUR_IN_SECONDS - $seconds_into_hour ) - 1 );
// Test 1: only one hour visible, so only 1 interval in the response, no real ordering.
// DESC.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'desc' ,
);
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
2019-04-01 02:16:57 +00:00
$coupons_count = 0 ;
2019-02-01 17:16:39 +00:00
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-01 17:16:39 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
'intervals' => array (
array (
'interval' => $current_hour_start -> format ( 'Y-m-d H' ),
'date_start' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $current_hour_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $current_hour_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
),
),
'total' => 1 ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
// ASC -- only 1 interval, so should be the same.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $current_hour_start -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'asc' ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
/*
* Test for [ - 5 hours , now ] -- partial 1 page .
* This should include 3 orders , 2 done at hour - 1 and one in the current hour .
*
* DESC ordering by order count =>
* previous hour with 2 orders at the top ,
* then current hour with 1 order ,
* then zero - filled intervals .
*/
$hour_offset = 5 ;
$minus_5_hours = new DateTime ();
$now_timestamp = ( int ) $current_hour_end -> format ( 'U' );
$minus_5_hours -> setTimestamp ( $now_timestamp - $hour_offset * HOUR_IN_SECONDS );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_5_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'desc' ,
);
// Expected Intervals section construction.
2019-11-22 15:06:14 +00:00
$expected_intervals = array ();
2019-02-01 17:16:39 +00:00
// Even in case this runs exactly at the hour turn second, there should still be 6 intervals:
// e.g. 20:30:51 -(minus 5 hours)- 15:30:51 means intervals 15:30:51--15:59:59, 16:00-16:59, 17, 18, 19, 20:00-20:30, i.e. 6 intervals
// also if this run exactly at 20:00 -(minus 5 hours)- 15:00, then intervals should be 15:00-15:59, 16, 17, 18, 19, 20:00-20:00.
$interval_count = $hour_offset + 1 ;
for ( $i = $interval_count - 1 ; $i >= 0 ; $i -- ) {
if ( 0 === $i ) {
$date_start = new DateTime ( $current_hour_end -> format ( 'Y-m-d H:00:00' ) );
2019-02-14 21:14:52 +00:00
$date_end = $current_hour_end ;
2019-02-01 17:16:39 +00:00
} elseif ( $hour_offset === $i ) {
$date_start = $minus_5_hours ;
$date_end = new DateTime ( $minus_5_hours -> format ( 'Y-m-d H:59:59' ) );
} else {
$hour_anchor = new DateTime ();
$hour_anchor -> setTimestamp ( $now_timestamp - $i * HOUR_IN_SECONDS );
$date_start = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:00:00' ) );
$date_end = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:59:59' ) );
}
if ( 1 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = count ( $order_during_this_ [ 'hour-1' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-02-01 17:16:39 +00:00
} elseif ( 0 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-02-01 17:16:39 +00:00
} else {
2019-02-07 07:41:09 +00:00
$orders_count = 0 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 0 ;
2019-02-01 17:16:39 +00:00
}
$expected_interval = array (
'interval' => $date_start -> format ( 'Y-m-d H' ),
'date_start' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $date_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $date_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => 0 === $orders_count ? 0 : $num_items_sold / $orders_count ,
'avg_order_value' => 0 === $orders_count ? 0 : $net_revenue / $orders_count ,
'total_customers' => $returning_customers ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
);
$expected_intervals [] = $expected_interval ;
}
/*
* The zero - filled intervals are actually always ordered by time ASC if the primary sorting condition is the same .
* $expected_intervals now :
* - [ 0 ] => 0 orders , hour - 5
* - [ 1 ] => 0 orders , hour - 4
* - [ 2 ] => 0 orders , hour - 3
* - [ 3 ] => 0 orders , hour - 2
* - [ 4 ] => 2 orders , hour - 1
* - [ 5 ] => 1 orders , hour - 0
*
* This means we need to put last two to the beginning of the array .
*/
$to_be_second = array_pop ( $expected_intervals );
2019-02-14 21:14:52 +00:00
$to_be_first = array_pop ( $expected_intervals );
2019-02-01 17:16:39 +00:00
array_unshift ( $expected_intervals , $to_be_second );
array_unshift ( $expected_intervals , $to_be_first );
// Totals section.
$orders_count = count ( $order_during_this_ [ 'hour' ] ) + count ( $order_during_this_ [ 'hour-1' ] ); // order 2 & 3 is 1 hour before order 1, so include all of those.
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-01 17:16:39 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
'intervals' => $expected_intervals ,
'total' => $interval_count ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
/*
* 5 hour time window , ASC ordering -- numbers stay the same , but first include zero intervals in asc order , then the rest .
* $expected_intervals now :
* - [ 0 ] => 2 orders , hour - 1
* - [ 1 ] => 1 orders , hour - 0
* - [ 2 ] => 0 orders , hour - 2
* - [ 3 ] => 0 orders , hour - 3
* - [ 4 ] => 0 orders , hour - 4
* - [ 5 ] => 0 orders , hour - 5
* so we need to revert first two and put them at the bottom of the array .
*/
2019-02-14 21:14:52 +00:00
$to_be_last = array_shift ( $expected_stats [ 'intervals' ] );
2019-02-01 17:16:39 +00:00
$to_be_second_last = array_shift ( $expected_stats [ 'intervals' ] );
array_push ( $expected_stats [ 'intervals' ], $to_be_second_last );
array_push ( $expected_stats [ 'intervals' ], $to_be_last );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_5_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'asc' ,
);
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
/*
* Test for [ - 9 hours , now ] -- full 1 page .
* Very similar to - 5 hours .
*
*/
$hour_offset = 9 ;
$minus_9_hours = new DateTime ();
$now_timestamp = ( int ) $current_hour_end -> format ( 'U' );
$minus_9_hours -> setTimestamp ( $now_timestamp - $hour_offset * HOUR_IN_SECONDS );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_9_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'desc' ,
);
/*
* Expected Intervals section construction .
* Initially intervals are ordered from the least recent to most recent , i . e .:
* - [ 0 ] => 0 orders , hour - 9
* - [ 1 ] => 0 orders , hour - 8
* ...
* - [ 7 ] => 0 orders , hour - 2
* - [ 8 ] => 2 orders , hour - 1
* - [ 9 ] => 1 orders , hour - 0
*
* To change ordering by orders_count , just pop last two and push them to the front ( aka unshift in php ) .
*/
2019-11-22 15:06:14 +00:00
$expected_intervals = array ();
2019-02-01 17:16:39 +00:00
$interval_count = $hour_offset + 1 ;
for ( $i = $interval_count - 1 ; $i >= 0 ; $i -- ) {
if ( 0 === $i ) {
$date_start = new DateTime ( $current_hour_end -> format ( 'Y-m-d H:00:00' ) );
2019-02-14 21:14:52 +00:00
$date_end = $current_hour_end ;
2019-02-01 17:16:39 +00:00
} elseif ( $hour_offset === $i ) {
$date_start = $minus_9_hours ;
$date_end = new DateTime ( $minus_9_hours -> format ( 'Y-m-d H:59:59' ) );
} else {
$hour_anchor = new DateTime ();
$hour_anchor -> setTimestamp ( $now_timestamp - $i * HOUR_IN_SECONDS );
$date_start = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:00:00' ) );
$date_end = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:59:59' ) );
}
if ( 0 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-02-01 17:16:39 +00:00
} elseif ( 1 === $i ) {
2019-02-07 07:41:09 +00:00
$orders_count = count ( $order_during_this_ [ 'hour-1' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 1 ;
2019-02-01 17:16:39 +00:00
} else {
2019-02-07 07:41:09 +00:00
$orders_count = 0 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 0 ;
2019-02-01 17:16:39 +00:00
}
$expected_interval = array (
'interval' => $date_start -> format ( 'Y-m-d H' ),
'date_start' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $date_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $date_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => 0 === $orders_count ? 0 : $num_items_sold / $orders_count ,
'avg_order_value' => 0 === $orders_count ? 0 : $net_revenue / $orders_count ,
'total_customers' => $returning_customers ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
);
$expected_intervals [] = $expected_interval ;
}
$to_be_second = array_pop ( $expected_intervals );
$to_be_first = array_pop ( $expected_intervals );
array_unshift ( $expected_intervals , $to_be_second );
array_unshift ( $expected_intervals , $to_be_first );
// Totals section.
$orders_count = count ( $order_during_this_ [ 'hour' ] ) + count ( $order_during_this_ [ 'hour-1' ] ); // order 3 is 1 hour before order 1 & 2, so include it.
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-01 17:16:39 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
'intervals' => $expected_intervals ,
'total' => $interval_count ,
'pages' => 1 ,
'page_no' => 1 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
/*
* ASC ordering -- same values , different intervals order .
*
* Now the intervals are ordered by order count desc , i . e .:
* - [ 0 ] => 2 orders , hour - 1
* - [ 1 ] => 1 orders , hour - 0
* - [ 2 ] => 0 orders , hour - 9
* ...
* - [ 8 ] => 0 orders , hour - 3
* - [ 9 ] => 0 orders , hour - 2
*
* To change ordering to orders_count ASC , just shift first two and push them to the back in reversed order .
*/
$to_be_last = array_shift ( $expected_stats [ 'intervals' ] );
$to_be_second_last = array_shift ( $expected_stats [ 'intervals' ] );
array_push ( $expected_stats [ 'intervals' ], $to_be_second_last );
array_push ( $expected_stats [ 'intervals' ], $to_be_last );
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_9_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'asc' ,
);
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
/*
* Test for [ - 10 hours , now ] -- 1 page full , 1 interval on 2 nd page .
* DESC .
*/
$hour_offset = 10 ;
$minus_10_hours = new DateTime ();
$now_timestamp = ( int ) $current_hour_end -> format ( 'U' );
$minus_10_hours -> setTimestamp ( $now_timestamp - $hour_offset * HOUR_IN_SECONDS );
$per_page = 10 ;
// Page 1.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'desc' ,
'page' => 1 ,
'per_page' => $per_page ,
);
/**
* Expected Intervals section construction .
* Initially created as :
* - [ 0 ] => 0 orders , hour - 10
* - [ 1 ] => 0 orders , hour - 9
* ...
* - [ 8 ] => 0 orders , hour - 2
* - [ 9 ] => 2 orders , hour - 1
* - [ 10 ] => 1 orders , hour - 0
*
* so last two need to be put first ( last one second , second last one first ) .
*/
2019-11-22 15:06:14 +00:00
$expected_intervals = array ();
2019-02-01 17:16:39 +00:00
$interval_count = 11 ;
for ( $i = $interval_count - 1 ; $i >= 0 ; $i -- ) {
if ( 0 === $i ) {
$date_start = new DateTime ( $current_hour_end -> format ( 'Y-m-d H:00:00' ) );
2019-02-14 21:14:52 +00:00
$date_end = $current_hour_end ;
2019-02-01 17:16:39 +00:00
} elseif ( $hour_offset === $i ) {
$date_start = $minus_10_hours ;
$date_end = new DateTime ( $minus_10_hours -> format ( 'Y-m-d H:59:59' ) );
} else {
$hour_anchor = new DateTime ();
$hour_anchor -> setTimestamp ( $now_timestamp - $i * HOUR_IN_SECONDS );
$date_start = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:00:00' ) );
$date_end = new DateTime ( $hour_anchor -> format ( 'Y-m-d H:59:59' ) );
}
if ( 0 === $i ) {
2019-02-14 21:14:52 +00:00
$orders_count = count ( $order_during_this_ [ 'hour' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-14 21:14:52 +00:00
$returning_customers = 1 ;
2019-02-01 17:16:39 +00:00
} elseif ( 1 === $i ) {
2019-02-14 21:14:52 +00:00
$orders_count = count ( $order_during_this_ [ 'hour-1' ] );
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-14 21:14:52 +00:00
$returning_customers = 1 ;
2019-02-01 17:16:39 +00:00
} else {
2019-02-07 07:41:09 +00:00
$orders_count = 0 ;
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-07 07:41:09 +00:00
$returning_customers = 0 ;
2019-02-01 17:16:39 +00:00
}
$expected_interval = array (
'interval' => $date_start -> format ( 'Y-m-d H' ),
'date_start' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_start_gmt' => $date_start -> format ( 'Y-m-d H:i:s' ),
'date_end' => $date_end -> format ( 'Y-m-d H:i:s' ),
'date_end_gmt' => $date_end -> format ( 'Y-m-d H:i:s' ),
'subtotals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => 0 === $orders_count ? 0 : $num_items_sold / $orders_count ,
'avg_order_value' => 0 === $orders_count ? 0 : $net_revenue / $orders_count ,
'total_customers' => $returning_customers ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
);
$expected_intervals [] = $expected_interval ;
}
$to_be_second = array_pop ( $expected_intervals );
$to_be_first = array_pop ( $expected_intervals );
array_unshift ( $expected_intervals , $to_be_second );
array_unshift ( $expected_intervals , $to_be_first );
// Totals section.
$orders_count = count ( $order_during_this_ [ 'hour' ] ) + count ( $order_during_this_ [ 'hour-1' ] ); // orders 2 & 3 are 1 hour before order 1, so include all of those.
$num_items_sold = $orders_count * $qty_per_product ;
$coupons = 0 ;
$shipping = $orders_count * 10 ;
$net_revenue = $product_price * $qty_per_product * $orders_count - $coupons ;
2019-11-22 15:06:14 +00:00
$total_sales = $net_revenue + $shipping ;
$gross_sales = $net_revenue + $coupons ;
2019-02-01 17:16:39 +00:00
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
'intervals' => array_slice ( $expected_intervals , 0 , $per_page ),
'total' => 11 ,
'pages' => 2 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
// Page 2.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'desc' ,
'page' => 2 ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
'intervals' => array_slice ( $expected_intervals , $per_page ),
'total' => 11 ,
'pages' => 2 ,
'page_no' => 2 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
/*
* Test for [ - 10 hours , now ] -- 1 page full , 1 interval on 2 nd page .
* ASC
*
* Currently , the intervals are in DESC order by orders_count :
* - [ 0 ] => 2 orders , hour - 1
* - [ 1 ] => 1 orders , hour - 0
* - [ 2 ] => 0 orders , hour - 10
* - [ 3 ] => 0 orders , hour - 9
* ...
* - [ 9 ] => 0 orders , hour - 3
* - [ 10 ] => 0 orders , hour - 2
* so first one needs to become the last one , second one the second last .
*/
$to_be_last = array_shift ( $expected_intervals );
$to_be_second_last = array_shift ( $expected_intervals );
array_push ( $expected_intervals , $to_be_second_last );
array_push ( $expected_intervals , $to_be_last );
// Page 1.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'asc' ,
'page' => 1 ,
'per_page' => $per_page ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
'intervals' => array_slice ( $expected_intervals , 0 , $per_page ),
'total' => 11 ,
'pages' => 2 ,
'page_no' => 1 ,
);
2019-02-14 21:14:52 +00:00
$actual = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true );
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , $actual , 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
2019-02-01 17:16:39 +00:00
// Page 2.
$query_args = array (
2019-08-06 20:41:01 +00:00
'after' => $minus_10_hours -> format ( TimeInterval :: $sql_datetime_format ),
'before' => $current_hour_end -> format ( TimeInterval :: $sql_datetime_format ),
2019-02-01 17:16:39 +00:00
'interval' => 'hour' ,
'orderby' => 'orders_count' ,
'order' => 'asc' ,
'page' => 2 ,
'per_page' => $per_page ,
);
$expected_stats = array (
'totals' => array (
2020-06-18 17:43:56 +00:00
'orders_count' => $orders_count ,
'num_items_sold' => $num_items_sold ,
'total_sales' => $total_sales ,
'gross_sales' => $gross_sales ,
'coupons' => $coupons ,
'coupons_count' => $coupons_count ,
'refunds' => 0 ,
'taxes' => 0 ,
'shipping' => $shipping ,
'net_revenue' => $net_revenue ,
'avg_items_per_order' => $num_items_sold / $orders_count ,
'avg_order_value' => $net_revenue / $orders_count ,
'total_customers' => 1 ,
'products' => 1 ,
'segments' => array (),
2019-02-01 17:16:39 +00:00
),
'intervals' => array_slice ( $expected_intervals , $per_page ),
'total' => 11 ,
'pages' => 2 ,
'page_no' => 2 ,
);
2019-02-14 22:54:45 +00:00
$this -> assertEquals ( $expected_stats , json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ), true ), 'Query args: ' . $this -> return_print_r ( $query_args ) . " ; query: { $wpdb -> last_query } " );
}
/**
* Pass input variable through print_r .
*
* @ since 3.5 . 4
* @ param string | array | object $data Variable data to be passed through print_r .
* @ return string
*/
private function return_print_r ( $data ) {
// @codingStandardsIgnoreStart
return print_r ( $data , true );
// @codingStandardsIgnoreEnd
2019-02-01 17:16:39 +00:00
}
2019-02-22 21:06:21 +00:00
/**
* Test new and returning guest customer .
*/
public function test_guest_returning_customer () {
WC_Helper_Reports :: reset_stats_dbs ();
// Create a test product for use in an order.
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( 25 );
$product -> save ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-02-22 21:06:21 +00:00
// All empty in the beginning.
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 21:06:21 +00:00
'interval' => 'hour' ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 0 , $actual_data -> totals -> total_customers );
2019-02-22 21:06:21 +00:00
// Create an order an hour before the order 1, so that the guest customer will become returning customer later.
$order_1_time = time ();
$order_0_time = $order_1_time - HOUR_IN_SECONDS ;
$order_0 = WC_Helper_Order :: create_order ( 0 , $product );
$order_0 -> set_date_created ( $order_0_time );
$order_0 -> set_status ( 'processing' );
$order_0 -> set_total ( 100 );
$order_0 -> save ();
WC_Helper_Queue :: run_all_pending ();
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:00:00' , $order_0 -> get_date_created () -> getOffsetTimestamp () );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_0 -> get_date_created () -> getOffsetTimestamp () );
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 21:06:21 +00:00
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 21:06:21 +00:00
// Place an order 'one hour later', 2 orders, but still just one customer.
$order_1 = WC_Helper_Order :: create_order ( 0 , $product );
$order_1 -> set_date_created ( $order_1_time );
$order_1 -> set_status ( 'processing' );
$order_1 -> set_total ( 100 );
$order_1 -> save ();
WC_Helper_Queue :: run_all_pending ();
// Time frame includes both orders -> customer is a new customer.
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:00:00' , $order_0 -> get_date_created () -> getOffsetTimestamp () );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_1 -> get_date_created () -> getOffsetTimestamp () );
2019-02-22 21:06:21 +00:00
$query_args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 21:06:21 +00:00
// Time frame includes only second order -> customer is a returning customer.
$after_order_0 = new DateTime ();
$after_order_0 -> setTimestamp ( $order_0_time + 1 );
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:i:s' , $order_0_time + 1 );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_1 -> get_date_created () -> getOffsetTimestamp () );
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 21:06:21 +00:00
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 21:06:21 +00:00
// Wait a bit so that orders are not created at the same second.
sleep ( 1 );
$order_2 = WC_Helper_Order :: create_order ( 0 , $product );
$order_2 -> set_date_created ( $order_1_time );
$order_2 -> set_status ( 'processing' );
$order_2 -> set_total ( 100 );
$order_2 -> save ();
WC_Helper_Queue :: run_all_pending ();
// Time frame includes second and third order -> there is one returning customer.
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:i:s' , $order_0_time + 1 );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_2 -> get_date_created () -> getOffsetTimestamp () );
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 21:06:21 +00:00
'interval' => 'day' , // to skip cache.
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2019-02-22 21:06:21 +00:00
// It's still the same customer who ordered for the first time in this hour, they just placed 2 orders.
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 21:06:21 +00:00
}
2019-02-22 23:03:53 +00:00
/**
* Test new and returning registered customer .
*/
public function test_registered_returning_customer () {
WC_Helper_Reports :: reset_stats_dbs ();
$customer_1 = WC_Helper_Customer :: create_customer ( 'cust_1_new' , 'pwd_1' , 'new_customer@mail.com' );
// Create a test product for use in an order.
$product = new WC_Product_Simple ();
$product -> set_name ( 'Test Product' );
$product -> set_regular_price ( 25 );
$product -> save ();
2019-08-05 18:14:25 +00:00
$data_store = new OrdersStatsDataStore ();
2019-02-22 23:03:53 +00:00
// All empty in the beginning.
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 23:03:53 +00:00
'interval' => 'hour' ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 0 , $actual_data -> totals -> total_customers );
2019-02-22 23:03:53 +00:00
// Create an order an hour before the order 1, so that the guest customer will become returning customer later.
$order_1_time = time ();
$order_0_time = $order_1_time - HOUR_IN_SECONDS ;
$order_0 = WC_Helper_Order :: create_order ( $customer_1 -> get_id (), $product );
$order_0 -> set_date_created ( $order_0_time );
$order_0 -> set_status ( 'processing' );
$order_0 -> set_total ( 100 );
$order_0 -> save ();
WC_Helper_Queue :: run_all_pending ();
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:00:00' , $order_0 -> get_date_created () -> getOffsetTimestamp () );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_0 -> get_date_created () -> getOffsetTimestamp () );
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 23:03:53 +00:00
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 23:03:53 +00:00
// Place an order 'one hour later', 2 orders, but still just one customer.
$order_1 = WC_Helper_Order :: create_order ( $customer_1 -> get_id (), $product );
$order_1 -> set_date_created ( $order_1_time );
$order_1 -> set_status ( 'processing' );
$order_1 -> set_total ( 100 );
$order_1 -> save ();
WC_Helper_Queue :: run_all_pending ();
// Time frame includes both orders -> customer is a new customer.
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:00:00' , $order_0 -> get_date_created () -> getOffsetTimestamp () );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_1 -> get_date_created () -> getOffsetTimestamp () );
2019-02-22 23:03:53 +00:00
$query_args = array (
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 23:03:53 +00:00
// Time frame includes only second order -> customer is a returning customer.
$after_order_0 = new DateTime ();
$after_order_0 -> setTimestamp ( $order_0_time + 1 );
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:i:s' , $order_0_time + 1 );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_1 -> get_date_created () -> getOffsetTimestamp () );
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 23:03:53 +00:00
'interval' => 'hour' ,
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 23:03:53 +00:00
// Wait a bit so that orders are not created at the same second.
sleep ( 1 );
$order_2 = WC_Helper_Order :: create_order ( $customer_1 -> get_id (), $product );
$order_2 -> set_date_created ( $order_1_time );
$order_2 -> set_status ( 'processing' );
$order_2 -> set_total ( 100 );
$order_2 -> save ();
WC_Helper_Queue :: run_all_pending ();
// Time frame includes second and third order -> there is one returning customer.
2019-11-22 15:06:14 +00:00
$start_time = gmdate ( 'Y-m-d H:i:s' , $order_0_time + 1 );
$end_time = gmdate ( 'Y-m-d H:59:59' , $order_2 -> get_date_created () -> getOffsetTimestamp () );
2019-03-13 17:14:02 +00:00
$query_args = array (
2019-02-22 23:03:53 +00:00
'interval' => 'day' , // to skip cache.
'after' => $start_time ,
'before' => $end_time ,
);
2019-04-02 19:22:55 +00:00
$actual_data = json_decode ( wp_json_encode ( $data_store -> get_data ( $query_args ) ) );
2019-02-22 23:03:53 +00:00
// It's still the same customer who ordered for the first time in this hour, they just placed 2 orders.
2020-06-18 17:43:56 +00:00
$this -> assertEquals ( 1 , $actual_data -> totals -> total_customers );
2019-02-22 23:03:53 +00:00
}
2018-09-24 17:46:37 +00:00
}
