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Merge pull request #58007 from frappe/codex/backport-57963-version-16

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fix(manufacturing): correct nested BOM Explorer quantities
This commit is contained in:
Mihir Kandoi
2026-08-11 13:25:00 +05:30
committed by GitHub
parent b75146445b fb877515ca
commit 4229161f4f
2 changed files with 50 additions and 2 deletions
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10
erpnext/manufacturing/report/bom_explorer/bom_explorer.py
View File

@@ -24,7 +24,8 @@ def get_exploded_items(bom, data, indent=0, qty=1):
fields=[
"qty",
"bom_no",
"qty",
"bom_no.quantity as child_bom_qty",
"stock_qty",
"item_code",
"item_name",
"description",
@@ -51,7 +52,12 @@ def get_exploded_items(bom, data, indent=0, qty=1):
}
)
if item.bom_no:
get_exploded_items(item.bom_no, data, indent=indent + 1, qty=item.qty)
get_exploded_items(
item.bom_no,
data,
indent=indent + 1,
qty=qty * item.stock_qty / item.child_bom_qty,
)
def get_columns():

42
erpnext/manufacturing/report/bom_explorer/test_bom_explorer.py Normal file
View File

@@ -0,0 +1,42 @@
# Copyright (c) 2026, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
import unittest
from unittest.mock import patch
import frappe
from erpnext.manufacturing.report.bom_explorer.bom_explorer import get_exploded_items
class TestBOMExplorer(unittest.TestCase):
def test_nested_bom_normalizes_and_accumulates_qty(self):
def item(item_code, qty, stock_qty, bom_no="", uom="Nos", child_bom_qty=None):
return frappe._dict(
item_code=item_code,
item_name=item_code,
description="",
qty=qty,
stock_qty=stock_qty,
bom_no=bom_no,
child_bom_qty=child_bom_qty,
uom=uom,
idx=1,
is_phantom_item=0,
)
children = {
"root": [item("parent", 2, 20, "parent-bom", "Box", 5)],
"parent-bom": [item("child", 3, 12, "child-bom", "Pack", 4)],
"child-bom": [item("raw-material", 2, 2, uom="Kg")],
}
def get_items(_doctype, filters, **kwargs):
self.assertIn("bom_no.quantity as child_bom_qty", kwargs["fields"])
return children[filters["parent"]]
data = []
with patch.object(frappe, "get_all", side_effect=get_items):
get_exploded_items("root", data)
self.assertEqual([row["qty"] for row in data], [2, 12, 24])