test_stock_entry.get_sle ordered by `timestamp(posting_date, posting_time)`, a
MySQL-only two-arg function that errors on Postgres ("function timestamp(date, time)
does not exist"), so every test using get_sle (test_fifo, test_stock_entry_qty, ...)
failed to run on Postgres. Order by the precomputed `posting_datetime` column instead
(identical value on MariaDB, valid on both engines).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
batch.get_batches(item_code, warehouse, ...) was added by #55647 and has no callers
anywhere in erpnext, frappe, or payments (not whitelisted, not referenced from JS/hooks).
It is also obsolete: it joins Stock Ledger Entry on `batch_no`, which the Serial and
Batch Bundle system no longer populates, so it returns nothing even on MariaDB. Its
query was additionally Postgres-invalid (GROUP BY batch_id with ORDER BY expiry_date/
creation -> GroupingError, since batch_id is not the primary key).
Remove the dead function (and its now-unused CurDate/Sum import) rather than fix a query
that nothing can reach. Live batch-quantity lookups go through get_batch_qty() /
get_auto_batch_nos(), which use the bundle model.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
get_timesheets_list selected `timesheet.sales_invoice | detail.sales_invoice`,
intending COALESCE (pick the parent timesheet's invoice, else the detail's) -- the
original raw SQL was COALESCE(ts.sales_invoice, tsd.sales_invoice). pypika's `|` is a
bitwise OR, not a coalesce:
- Postgres: `varchar | varchar` -> "operator does not exist" (hard error).
- MariaDB: bitwise OR coerces the operands to integers; with a NULL detail invoice the
result is NULL, so the portal showed no invoice even when the timesheet was billed.
Replace with Coalesce(table.sales_invoice, child_table.sales_invoice).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
test_index_creation used `frappe.db.sql("show index from tabItem")` and the MySQL-only
result key "Column_name". "SHOW INDEX" errors on Postgres, so the test could not run
there. Use the db-agnostic frappe.db.get_column_index("tabItem", column) (checking both
unique and non-unique single-column indexes) instead.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
test_index_exists used `frappe.db.sql("show index from tabBin ...")`. "SHOW INDEX"
is MySQL-only syntax and errors on Postgres (syntax error at "from"), so the test
could not run there. Use the db-agnostic frappe.db.has_index("tabBin",
"unique_item_warehouse") instead.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
rfq_transaction_list had two defects introduced when it was converted to the query
builder:
1. `party.supplier == party[0]` compared supplier to a column literally named "0"
(a stray index on the DocType, not the intended `parties[0]` value). This renders
as `supplier = \`0\`` / `supplier = "0"` and errors on BOTH engines
(MariaDB: Unknown column '0'; Postgres: column "0" does not exist), so the
supplier portal RFQ list was completely broken.
2. SELECT DISTINCT ordered by `creation`, which is not in the select list. Postgres
rejects this ("for SELECT DISTINCT, ORDER BY expressions must appear in select list").
Compare against `parties[0]` and add `creation` to the select list.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The "Lost Quotations %" column computed Count(distinct) / total_quotations * 100,
where both operands are integers. Postgres does integer division on int/int, so any
group that is a strict minority of the total truncated to 0 (e.g. 1 of 4 -> 0%);
MariaDB always divides as decimal. Multiply by 100.0 before dividing so the division
is done in floating point on both engines.
The "Lost Value %" column already divided Sum(Currency)/Sum(Currency) (numeric), so it
was unaffected; left unchanged.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
When Accounts Settings -> general_ledger_remarks_length is set, the GL report
adds `substr(remarks, 1, n) as 'remarks'` to its raw SQL. Postgres treats a
single-quoted column alias as a string literal and raises a syntax error, so
the General Ledger report is broken on Postgres whenever that setting is on.
Use a bare alias (`as remarks`). substr() itself is portable.
Adds a test that sets general_ledger_remarks_length and runs the report,
asserting it executes (and returns rows) on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
get_vendor_invoice_query filtered unclaimed invoices with
.having(unclaimed_amount > 0), but the query has no GROUP BY/aggregate and
unclaimed_amount is a SELECT alias. Postgres rejects HAVING on a SELECT alias
(and HAVING without GROUP BY on a non-aggregated column); MariaDB allowed it.
Move the threshold into WHERE on the underlying expression.
Behaviour is identical on MariaDB (same rows); fixes a hard error on Postgres.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
update_variant_attribute_values (propagates renamed Item Attribute Values to
variant items) used a qb UPDATE ... JOIN. Postgres has no UPDATE..JOIN syntax,
so renaming an Item Attribute Value errored on Postgres.
Rewrite as a correlated UPDATE that restricts to variant items via a subquery
on the parent (item_variant_table.parent.isin(variant Items)) instead of
joining the Item table. MariaDB behaviour is unchanged.
Covered by the existing test_item.test_rename_attribute_value_updates_variants
and test_swapped_attribute_value_renames_update_variants, which errored on
Postgres before and now pass on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
get_timeline_data grouped Timesheet Detail by Date(from_time) but selected
UnixTimestamp(from_time) (the full timestamp, ungrouped). MariaDB
arbitrary-picks a row's timestamp; Postgres rejects it ("must appear in the
GROUP BY clause"), so the Project timeline (calendar heatmap) is broken on PG.
Select UnixTimestamp(Date(from_time)) — the day's epoch — which is the
timeline key and matches the GROUP BY. CurDate() - Interval(years=1) is
portable and kept as-is.
Adds a test (no coverage existed) that records a timesheet against a project
and asserts get_timeline_data returns day-bucketed counts, on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
get_purchase_details grouped Purchase Order Item by (item_code, warehouse)
while selecting `qty` ungrouped/unaggregated. MariaDB arbitrary-picks one
row's qty; Postgres rejects the query ("must appear in the GROUP BY clause"),
so the report is broken on Postgres.
Sum the qty per item+warehouse ({"SUM": "qty"}). The column is the "Arrival
Qty" (quantity on order arriving) display figure; summing the open PO lines is
the meaningful planning number, and is deterministic vs MariaDB's arbitrary
single-line pick (which only differed when an item+warehouse had multiple open
PO lines).
Adds a test (no test file existed) that creates a Work Order plus two PO lines
for a BOM raw material and asserts the report runs and reports arrival_qty = 7
(3 + 4), on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
get_used_alternative_items built its WHERE with f-string interpolation of
subcontract_order / subcontract_order_field / work_order (a SQL-injection risk)
and used a raw implicit comma cross-join. Convert to frappe.qb with an
inner_join on sted.parent == ste.name and parameterised conditions. The raw
SELECT listed sted.conversion_factor twice; the qb version selects it once.
Engine-portable and MariaDB-identical.
Surgical re-apply: the rest of stock_entry.py (the services/ package layout and
other develop-only logic) is untouched.
Adds a test that substitutes an alternative item in a work order's transfer
entry and asserts get_used_alternative_items returns the mapping, on MariaDB
and Postgres.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Convert the raw frappe.db.sql statements in Item to frappe.qb / ORM:
validate_barcode duplicate check (-> frappe.get_all), stock_ledger_created
(-> frappe.db.exists), update_item_price + the BOM/BOM Item/BOM Explosion
description updates + check_stock_uom_with_bin's Bin UOM update (-> frappe.qb
.update), on_trash Bin/Item Price deletes (-> frappe.db.delete),
check_stock_uom_with_bin's bin lookup (-> frappe.get_all with or_filters), and
get_uom_conv_factor's self-join (-> frappe.qb).
The one genuine Postgres break is validate_duplicate_item_in_stock_reconciliation:
its raw query used `HAVING records > 1`, referencing the SELECT alias, which
Postgres rejects. The qb version uses `HAVING Count("*") > 1`.
Surgical re-apply (not a whole-file port): develop's opening-stock-reconciliation
flow (set_opening_stock / create_opening_stock_reconciliation /
make_opening_stock_entry) is preserved, and get_timeline_data keeps develop's
CurDate()-Interval form (valid on both engines), so the Interval/CurDate/
SerialBatchCreation imports are retained.
Verified: test_item 38/38 on MariaDB. Added a merge-rename test exercising the
HAVING query (validate_duplicate_item_in_stock_reconciliation) which passes on
MariaDB and Postgres.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Convert four raw frappe.db.sql statements to frappe.qb:
- set_as_cancel (UPDATE -> frappe.qb.update)
- the invalid-serial-no incoming_rate lookup
- get_valuation_rate's last-valuation lookup
- get_future_sle_with_negative_qty
The serial-no comparisons (invalid-serial lookup and the get_stock_ledger_entries
condition builder, which stays raw) are wrapped in lower()/Lower() so serial
matching is case-insensitive on Postgres too -- MariaDB's collation already is,
so this is a no-op there. Deterministic creation/name tiebreakers are added to
the "ORDER BY posting_date DESC LIMIT 1" lookups so Postgres picks the same row
MariaDB did.
Surgical re-apply (not a whole-file port): develop's reposting valuation-recalc
clause (`recalculate_valuation_rate`) in update_entries_after and the
already-shipped Min()-wrapped get_items_to_be_repost GROUP BY are preserved. The
dynamic-condition / row-locking raw queries (get_previous_sle,
get_stock_ledger_entries builder, get_future_sle_with_negative_batch_qty, the
qty_shift UPDATE) are intentionally left raw.
Verified: full test_stock_ledger_entry suite 22/22 on MariaDB; added focused
tests for set_as_cancel / get_valuation_rate / get_future_sle_with_negative_qty
that pass on MariaDB and Postgres.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
deduplicate_similar_repost used a raw UPDATE with the MySQL-only two-arg
TIMESTAMP(posting_date, posting_time) constructor, which is invalid on Postgres.
Convert the UPDATE to frappe.qb and replace TIMESTAMP() with CombineDatetime
on the column (portable, and preserves the original NULL semantics so rows with
a NULL posting_time stay excluded); the right-hand side is this document's own
always-set posting datetime, computed in Python via get_combine_datetime to
avoid wrapping literals in a SQL datetime function.
Surgical re-apply: develop's recalculate_valuation_rate field /
_recalculate_valuation_rate method / repost() branch are left intact.
The existing test_repost_item_valuation.test_deduplication directly exercises
this UPDATE; it errors on develop's Postgres and now passes on MariaDB and
Postgres.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The *_trends reports (Sales/Purchase Order/Invoice, Delivery Note, etc.) built
raw SQL that is invalid on Postgres:
- `SUM(IF(...))` -> `SUM(CASE WHEN ... ELSE NULL END)` (IF is MySQL-only).
- Loose GROUP BY: each based_on `group by` listed only the key column while the
SELECT also returned name/territory/group/currency columns. Widen the GROUP BY
to include every selected non-aggregated column so the query is valid on
Postgres.
- Add a based_on_key (the first group-by column) for the group-by detail
subqueries, which equate against a single column (a multi-column group_by
spliced into an equality produced malformed SQL on both engines).
Behaviour note: widening the GROUP BY can split one based-on group into multiple
report rows when the snapshot columns (territory, renamed customer/item) differ
across transactions, vs MariaDB's previous one-arbitrary-row-per-group. Grand
totals are unchanged (calculate_total_row); per-group subtotals become
deterministic partial sums. This is the accepted widen-vs-arbitrary-pick
tradeoff.
Adds a test (no test file existed) running Sales Order Trends with a group_by,
exercising the widened GROUP BY / based_on_key / SUM(CASE) on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
make_variant_item_code used a raw frappe.db.sql left join over Item Attribute /
Item Attribute Value. Convert to frappe.qb. The attribute_value comparison
casts the param with cstr() so Postgres does not error on `varchar = numeric`
for numeric attributes (where that side is irrelevant, since numeric_values == 1
already satisfies the OR). MariaDB-identical.
Surgical re-apply: develop's get_attribute_value_renames /
update_variant_attribute_values helpers and the Case import are preserved.
Covered by test_item_variant on both engines.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Asset Movement deletion: raw implicit-join select -> frappe.get_all on
Asset Movement Item (pluck="parent").
- validate_item_type: raw `name in (...)` select -> frappe.get_all with an
`in` filter (pluck="item_code").
Both are engine-portable, MariaDB-identical. Surgical re-apply: develop's
actual-tax distribution rewrite (distribute_actual_tax_amount / get_tax_details)
is preserved (the staging branch predated it).
validate_item_type runs on every Purchase Receipt validation (covered by
test_asset.test_purchase_asset on both engines); the Asset Movement deletion
is covered by the asset cancellation flow.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Convert eight raw frappe.db.sql search handlers to frappe.qb / frappe.qb.get_query
(which applies user-permission match conditions): employee_query, lead_query,
tax_account_query, bom, warehouse_query, get_batch_numbers, get_purchase_receipts
and get_purchase_invoices. Removes the MySQL-only get_match_cond/get_filters_cond
string building and ifnull usage.
The genuine Postgres break is get_project_name: it used CustomFunction("IF")
which emits a literal IF() (invalid on Postgres). Switch it to Case().
Surgical re-apply (not a whole-file port): develop's case-insensitive
Lower() ordering in item_query and get_project_name is preserved (the staging
branch reverted it), item_query is otherwise left untouched, and the Lower
import is retained.
Existing test_queries tests cover the converted handlers and now pass on
Postgres (test_project_query errors on develop). Adds smoke tests for the
three previously-untested handlers (batch numbers / purchase receipts /
purchase invoices).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
