Extend the boundary rule to callers: non-decorated code that built or
annotated with ItemDetailsCtx now uses frappe._dict directly, and drops
the now-unused import. asset_capitalization keeps ItemDetailsCtx for its
own normalize_ctx_input-decorated functions.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Ensure the recursion guard only applies to the nested save() and is cleared
afterwards, so a later save() on the same doc instance still creates periods.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
on_update() called self.save(), which re-enters on_update() via
run_post_save_methods(), recursing indefinitely when make_all_scorecards()
keeps returning newly created periods. Guard the re-save with an in_rescore
flag so the nested on_update() short-circuits, while still running the full
validate() once to refresh score and standings.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
make_default_records inserted Scorecard Variable/Standing rows in a loop and swallowed DuplicateEntryError (frappe.NameError). On Postgres the failed insert poisons the txn so the next iteration's insert raises InFailedSqlTransaction. insert(ignore_if_duplicate=True) emits ON CONFLICT DO NOTHING, never poisoning the txn. No-op on MariaDB.
target_doc.submit() is wrapped in except Exception whose handler calls add_comment (a Comment insert). On Postgres a failed submit poisons the transaction so the add_comment insert raises InFailedSqlTransaction; MariaDB logs the comment. Savepoint + rollback before add_comment. No-op on MariaDB.
Conservative cleanup of frappe.throw/msgprint messages per the message style
guide; meaning, severity, and .format() arguments are unchanged:
- index bare {} placeholders as {0}/{1}/... so translators can reorder
- move f-strings / .format() / concatenation out of _() (they break gettext
extraction and never translate)
- wrap translatable dynamic values (DocType/Select labels) in _()
- fix grammar and colloquialisms
- drop no-op _() wrapping runtime-built strings
Part of #53976.
Conservative cleanup of frappe.throw/msgprint messages per the message style
guide; meaning, severity, and .format() arguments are unchanged:
- index bare {} placeholders as {0}/{1}/... so translators can reorder
- move f-strings / .format() / concatenation out of _() (they break gettext
extraction and never translate)
- wrap translatable dynamic values (DocType/Select labels) in _()
- fix grammar and colloquialisms
- drop no-op _() wrapping runtime-built strings
Part of #53976.
- assert cost-of-shipments against the PO base_amount instead of a
hardcoded total, so it holds when conversion_rate != 1
- guard the idempotency test's fixed scorecard name against leftovers
- clarify that the eval-statement zero/None substitution is a truthiness check
set_expired_status passed filters= and fieldname= kwargs that
frappe.db.set_value does not accept, so the daily scheduled task threw
TypeError on every run and quotations were never marked Expired. Pass
the filter dict as the positional docname argument, and scope it to
submitted documents so draft quotations aren't wrongly expired (matching
the selling Quotation behaviour).
Adds coverage for valid-till validation, the expiry task, and the
RFQ quote-status round-trip on submit/cancel.
The Postgres-portability change added the Purchase Order Item PK (child.name) to
get_po_entries' GROUP BY. material_request_item is blank for PO lines not sourced
from a Material Request, so a multi-line PO previously collapsed to ONE row per
(PO, blank) on MariaDB but now produced one row PER LINE — changing the MariaDB
row count (and the add_total_row totals).
Group only by (PO, material_request_item) — the pre-effort key — and Max()-
aggregate the other selected columns so the query stays valid on Postgres while
restoring the prior one-row-per-group MariaDB output (per-column arbitrary→
deterministic, row count preserved). Add a regression test with a two-line PO
that fails on the multi-column GROUP BY (2 rows) and passes after (1 row), on
both MariaDB and Postgres.
The earlier parity fix aggregated the non-key descriptive columns for the Item
and Customer based-on paths but left Supplier grouping by all three selected
columns (supplier, supplier_name, supplier_group). supplier_name is a stored
per-transaction field, so historical purchase docs holding a divergent value for
the same supplier would split one supplier into multiple rows — diverging from
the original MariaDB output, which grouped by t1.supplier only.
Aggregate supplier_name with Max() and keep only supplier + the FD master column
supplier_group in GROUP BY, restoring one row per supplier on both engines.
Add regression tests for the Supplier (purchase) and Customer (sales) paths that
assert a single row per key even when stored descriptive fields diverge; both
fail on the pre-fix multi-column GROUP BY and pass after the fix, on MariaDB and
Postgres.
The repo-wide query audit fixed runtime/source queries, but test files carry their
own raw SQL helpers that were never swept and only fail when the suite runs on
Postgres. Port the staging branch's already-green fixes for them:
- timestamp(posting_date, posting_time) (raw + qb Timestamp) -> posting_datetime /
CombineDatetime (test_stock_ledger_entry, test_stock_balance, test_utils)
- HAVING <select-alias> -> qb .having(<expr>) (test_asset_capitalization, test_purchase_order)
- capital-cased identifiers ("Status", "Name") -> lowercase (test_delivery_note,
test_purchase_order, test_employee)
- raw GL/SLE select helpers -> frappe.get_all / qb, with order-independent
comparisons where account ordering is collation-dependent across engines
(test_purchase_invoice, test_sales_invoice, test_payment_entry, test_asset,
test_purchase_receipt, test_payment_request, test_repost_accounting_ledger,
test_journal_entry)
All changes are test-only and behaviour-identical on MariaDB (lowercase column names
resolve the same; posting_datetime == timestamp(posting_date, posting_time); HAVING on
the expression is the same computation). Verified: the heavy modules pass on both
MariaDB and Postgres, and MariaDB output is unchanged.
Bugs surfaced while writing coverage for the scorecard engine:
- update_standing treated every band as [min, max), leaving the global
ceiling open, so a perfect score (100) - including the no-period
fallback - mapped to no standing. Make the top band inclusive of its
upper bound.
- get_on_time_shipments counted PR lines where qty exactly matched the PO
line, so on-time deliveries split across partial receipts were never
counted while still inflating late shipments (and could push
get_late_shipments negative). Count fully-on-time PO lines instead,
keeping units consistent with get_total_shipments.
- validate_standings now rejects inverted bands (min >= max) and checks
band continuity directly instead of relying on fragile float-equality
accumulation.
- Remove dead 'crit.score = 0' after frappe.throw in calculate_criteria.
get_data() grouped only by Purchase Order Item while selecting Purchase
Order parent columns. MariaDB allows this loose GROUP BY; Postgres rejects
it with "column ... must appear in the GROUP BY clause".
Add the Purchase Order PK (po.name) to the GROUP BY. po.name is 1:1 with
the already-grouped po_item.name, so groups are unchanged and the result
is identical on MariaDB.
Adds a test (no test file existed) that runs the report and asserts the PO
is listed, exercising the GROUP BY on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
get_po_entries() grouped only by (Purchase Order, material_request_item)
while selecting other Purchase Order Item columns. MariaDB allows this
loose GROUP BY (arbitrary-picking the extra columns); Postgres rejects it
with "column ... must appear in the GROUP BY clause".
Add the Purchase Order Item PK (child.name) to the GROUP BY so the
selected child columns are functionally determined by a grouped key.
Behaviour note: this is not a MariaDB no-op. When one PO has multiple
items sharing the same/blank material_request_item, MariaDB collapsed
them into one arbitrary row; now there is one row per PO line. The
downstream report already keys rows by purchase_order, so totals are
unaffected and the per-line breakdown is more correct.
Adds a test that runs the report and asserts the PO is listed, exercising
the GROUP BY on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The test was mutating an already-submitted RFQ, which raised
UpdateAfterSubmitError because cost_center lacks allow_on_submit.
Use do_not_submit=True, set cost_center on the draft, save, then submit.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Wrap the non-aggregated, functionally-dependent column(s) in Max()/Min() (or add
them to GROUP BY) so the report's grouped query is valid under PostgreSQL's strict
GROUP BY. No behaviour change on MariaDB.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Convert the MariaDB-only raw `frappe.db.sql` in the Selling and Buying
modules to the cross-database query builder / ORM, and fix the few
non-portable constructs that remain. Every change is a no-op on MariaDB
(identical rendered SQL / identical results) and only brings PostgreSQL —
which is standards-strict where MySQL is lax — in line.
Patterns addressed in these modules:
- Strict GROUP BY — PostgreSQL rejects SELECTing a non-aggregated column
that isn't functionally dependent on the grouped key. Sales Order
Analysis, Sales Analytics, Purchase Order Analysis and Procurement
Tracker now group by the PK (1:1 with the existing key, so no behaviour
change) or aggregate genuinely-independent columns.
- App clock vs DB clock — Sales Order Analysis computed delay against the
database CURRENT_DATE, which differs from the app's today by a day when
the DB runs a different timezone; switched to `nowdate()` (deterministic,
identical on both DBs).
- Portable date math / functions — DATEDIFF and friends via the db-aware
query-builder functions.
- Raw SQL → query builder for the remaining self-contained selling/buying
reads (POS item search, customer naming suffix, packing-items
availability, customer credit/acquisition reports).
Part of the staged MariaDB↔PostgreSQL parity rollout (module 1 of 9).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>