Greptile flagged that the sales-side zero-qty-return fix had no dedicated
test proving the behavior - the existing suite happened to pass, but
nothing specifically asserted that an all-zero return is rejected while
a normal negative-qty return still succeeds.
Adds two tests covering the doctypes that rely entirely on this check
(no other guard covers them for a non-stock-effect return):
- Delivery Note return with qty 0 -> rejected
- Sales Invoice return with qty 0 (no update_stock) -> rejected
POS Invoice is not covered separately here since it always runs with
update_stock=1, which is already guarded by the pre-existing
validate_zero_qty_for_return_invoices_with_stock check regardless of
this fix.
validate_returned_items() set items_returned=True whenever a row matched
a valid item from the original document, even if its qty was 0. This let
a Sales Invoice, Delivery Note, or POS Invoice return be submitted with
every line at qty=0 - a no-op document with no stock or financial effect
that still consumed a document number and linked back to the original
transaction.
Scoped to the Sales side only: items_returned now flips to True for
Sales Invoice/Delivery Note/POS Invoice only when qty (or received_qty)
is actually negative, so an all-zero sales return correctly hits the
existing "At least one item should be entered with negative quantity"
check. Purchase Invoice, Purchase Receipt, and Subcontracting Receipt
are unchanged.
* fix(controllers): source trend report labels from the master
item_name, customer_name, territory and supplier_name are stored on each
transaction and editable, so they are not functionally dependent on the grouped
key and historical documents can hold different values for the same item,
customer or supplier. Aggregating them with Max() is a text sort, and MariaDB
folds case while PostgreSQL orders by byte value, so the two engines can label
the same row differently.
Read each from its master instead. Those values ARE dependent on the grouped
key, so they can be grouped without splitting rows and agree on both engines by
construction rather than by an assumption about the data. Supplier needed no new
join -- the Supplier master was already joined as t3 for supplier_group.
A Quotation's party_name is a dynamic link to either a Customer or a Lead, so
neither master can be joined without dropping the other; there the values come
from correlated subqueries over both, keyed only on the grouped party_name.
Row counts and every numeric total are unchanged. What changes is that a
renamed record now shows its current name rather than whichever historical
snapshot happened to sort highest.
* test(selling): assert which label the trends report returns
The existing tests assert the customer stays one row but never which territory
or name comes back, so a divergence between engines passes unnoticed. Asserts
both equal the Customer master's values while an order stores a different
territory.
* fix(controllers): resolve a Quotation's party label through quotation_to
party_name is a dynamic link, so looking it up in Customer and Lead alone was
wrong twice over: a Quotation raised against a Prospect or a CRM Deal got a
blank label, and when a Lead shared its name with a Customer the Customer-first
lookup returned the wrong record's name and territory.
Resolve through the quotation_to discriminator instead, mirroring
Quotation.set_customer_name -- Customer, Lead (company_name falling back to
lead_name), Prospect, and CRM Deal. The CRM Deal branch is emitted only when its
table exists, since it ships with the CRM app.
quotation_to joins the GROUP BY as well: two parties of different types can
share a name, and merging them into one row was never right.
* style(controllers): name the quotation CASE branches
semgrep's string-concat-in-list flags adjacent string literals inside a list,
since that shape is usually a missing comma rather than deliberate. Bind each
branch to a name first so the concatenation is unambiguous.
