How can we group SQL once it is grouped in inner query - php

Question

Here i have one table for purchase.
| Invoice No | Customer | Amount | Invoice Date(mm-dd-yy) |
| 101 | ABC | 1000 | 01-01-2020 |
| 102 | XYZ | 1000 | 01-01-2020 |
| 103 | ABC | 1000 | 02-01-2020 |
| 104 | XYZ | 1000 | 03-01-2020 |
| 105 | PQR | 1000 | 01-01-2020 |
| 106 | ABC | 1000 | 03-01-2020 |
Now I have to make Customer wise report.
so grouping will be on Customer which will be like this.
$sql->group(customer);
So after this table will generate like below..
| Invoice No | Customer | Amount | Invoice Date(mm-dd-yy) |
| 106 | ABC | 3000 | 03-01-2020 |
| 104 | XYZ | 2000 | 03-01-2020 |
| 105 | PQR | 1000 | 01-01-2020 |
I also have to make summary for this as like.
| Invoice Amount | Total Count |
| 5000 | 5 |
above all things are done, but the problem is i also have to generate Date Wise summary
So how i get Date Wise summary?
SELECT
`t`.*,
FORMAT(SUM(COALESCE(t.Total_Purchase_Amount_fororder, 0.00)), 2) AS Total_Purchase_Amount
FROM
(
SELECT
`invoice_item`.*,
`sr`.*,
cust_comp.name AS cust_name,
cust_comp.id AS cust_id,
MAX(FROM_UNIXTIME(invoice.date, '%Y')) AS `Transaction_Year`,
MAX(FROM_UNIXTIME(invoice.date, '%m')) AS `Transaction_Month`,
MAX(FROM_UNIXTIME(invoice.date, '%m-%Y')) AS `Transaction_Month_Year`,
FORMAT(COALESCE(COUNT(invoice.to_type_id), 0.00), 2) AS `Total_Purchases`,
COUNT(invoice.to_type_id) AS `Total_Purchases_forsummary`,
FORMAT(COALESCE(SUM(invoice_item.amountAfterDiscount) - COALESCE(total_return, 0.00) , 0.00), 2) AS `Total_Purchase_Amount`,
SUM(invoice_item.amountAfterDiscount) - COALESCE(total_return, 0.00) AS `Total_Purchase_Amount_fororder`,
FORMAT(COALESCE(MAX(invoice_item.amountAfterDiscount) - COALESCE(total_return, 0.00) , 0.00), 2) AS `Max_Purchase_Amount`
FROM
`invoice`
INNER JOIN
`cust_comp`
ON cust_comp.id = invoice.to_type_id
INNER JOIN
(
SELECT
SUM(amountWithTax) AS `amountWithTax`,
SUM(amountAfterDiscount) AS `amountAfterDiscount`,
FORMAT(sum(tax_amount), 2) AS `tax_amount`,
`invoice_item`.`invoice_id`,
`invoice_item`.`invoice_item_inventory_id`
FROM
`invoice_item`
WHERE
(
invoice_item.item_status NOT IN
(
8
)
)
GROUP BY
`invoice_item`.`invoice_id`
)
AS `invoice_item`
ON invoice_item.invoice_id = invoice.invoice_id
LEFT JOIN
(
SELECT
`sr`.`sales_return_id`,
`sr`.`invoice_id` AS `return_invoice_id`,
SUM(COALESCE(return_amountAfterDiscount, 0.00)) AS total_return,
`sri`.*
FROM
`sales_return` AS `sr`
INNER JOIN
(
SELECT
`sri`.`sales_return_id` AS `item_sales_return_id`,
COALESCE(amountAfterDiscount, 0.00) AS `return_amountAfterDiscount`
FROM
`sales_return_item` AS `sri`
)
AS `sri`
ON sri.item_sales_return_id = sr.sales_return_id
WHERE
(
sr.invoice_id = invoice_id
)
GROUP BY
`sr`.`invoice_id`
)
AS `sr`
ON sr.return_invoice_id = invoice.invoice_id
WHERE
(
invoice.invoice_status NOT IN
(
8,
6
)
)
AND
(
invoice.date >= 1596240000
)
GROUP BY
`invoice`.`to_type_id`
)
AS `t`
Expected Result for date wise summary is:
| Invoice Amount| Total Count | Invoice Date |
| 3000 | 3 | 01-01-2020 |
| 1000 | 1 | 02-01-2020 |
| 2000 | 2 | 03-01-2020 |