feat(analytics): filter sales and purchase analytics by entity (#58402)

Co-authored-by: Mihir Kandoi <kandoimihir@gmail.com>
(cherry picked from commit 3f29cdf8d2)

# Conflicts:
#	erpnext/buying/report/purchase_analytics/purchase_analytics.js
#	erpnext/buying/report/purchase_analytics/test_purchase_analytics.py
#	erpnext/selling/report/sales_analytics/sales_analytics.py
#	erpnext/selling/report/sales_analytics/test_sales_analytics.py
This commit is contained in:
Sudharsanan Ashok
2026-08-26 13:02:59 +05:30
committed by Sudharsanan11
parent 3bf19df761
commit 0dddd00073
5 changed files with 463 additions and 0 deletions

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@@ -10,6 +10,26 @@ frappe.query_reports["Purchase Analytics"] = {
options: ["Supplier Group", "Supplier", "Item Group", "Item"],
default: "Supplier",
reqd: 1,
on_change: function () {
const entity_filter = frappe.query_report.get_filter("entity");
if (entity_filter) {
entity_filter.df.label = __(frappe.query_report.get_filter_value("tree_type"));
entity_filter.set_value([]);
entity_filter.refresh();
}
frappe.query_report.refresh();
},
},
{
fieldname: "entity",
label: __("Entity"),
fieldtype: "MultiSelectList",
get_data: function (txt) {
const tree_type = frappe.query_report.get_filter_value("tree_type");
if (!tree_type || tree_type === "Order Type") return [];
return frappe.db.get_link_options(tree_type, txt);
},
depends_on: "eval:doc.tree_type != 'Order Type'",
},
{
fieldname: "doc_type",
@@ -65,6 +85,27 @@ frappe.query_reports["Purchase Analytics"] = {
default: "Monthly",
reqd: 1,
},
<<<<<<< HEAD
=======
{
fieldname: "curves",
label: __("Curves"),
fieldtype: "Select",
options: [
{ value: "select", label: __("Select") },
{ value: "all", label: __("All") },
{ value: "non-zeros", label: __("Non-Zeros") },
{ value: "total", label: __("Total Only") },
],
default: "select",
reqd: 1,
},
{
fieldname: "show_aggregate_value_from_subsidiary_companies",
label: __("Show Aggregate Value from Subsidiary Companies"),
fieldtype: "Check",
},
>>>>>>> 3f29cdf (feat(analytics): filter sales and purchase analytics by entity (#58402))
],
get_datatable_options(options) {
return Object.assign(options, {

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@@ -0,0 +1,131 @@
# Copyright (c) 2026, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
import frappe
from frappe.utils import flt
from erpnext.buying.doctype.purchase_order.test_purchase_order import create_purchase_order
from erpnext.buying.report.purchase_analytics.purchase_analytics import execute
from erpnext.tests.utils import ERPNextTestSuite
COMPANY = "_Test Company"
SUPPLIER = "_Test Supplier"
SUPPLIER_GROUP = "_Test Supplier Group"
# A historical window that ordinary test fixtures don't post into.
FROM_DATE = "2019-04-01"
TO_DATE = "2019-06-30"
class TestPurchaseAnalytics(ERPNextTestSuite):
"""purchase_analytics reuses the shared Analytics engine; these tests lock its
wiring (doc_type=Purchase Order) across the Supplier Group / Item Group trees."""
def setUp(self):
frappe.set_user("Administrator")
def _filters(self, **overrides):
filters = {
"doc_type": "Purchase Order",
"value_quantity": "Value",
"range": "Monthly",
"company": COMPANY,
"from_date": FROM_DATE,
"to_date": TO_DATE,
}
filters.update(overrides)
return frappe._dict(filters)
def _rows(self, filters):
return {row["entity"]: row for row in execute(filters)[1]}
def make_po(self, qty=4, rate=250):
return create_purchase_order(
company=COMPANY, supplier=SUPPLIER, qty=qty, rate=rate, transaction_date="2019-04-10"
)
def test_supplier_entity_filter(self):
filters = self._filters(tree_type="Supplier", entity=[SUPPLIER], curves="all")
base_total = flt(self._rows(filters).get(SUPPLIER, {}).get("total", 0.0))
po = self.make_po()
columns, data, _message, chart, *_rest = execute(filters)
self.assertTrue(columns)
self.assertEqual({row["entity"] for row in data}, {SUPPLIER})
self.assertAlmostEqual(data[0]["total"] - base_total, flt(po.base_net_total), places=2)
supplier_name = frappe.db.get_value("Supplier", SUPPLIER, "supplier_name")
self.assertEqual({dataset["name"] for dataset in chart["data"]["datasets"]}, {supplier_name})
def test_parent_supplier_group_filter_preserves_rollup(self):
self.make_po()
filters = self._filters(tree_type="Supplier Group")
unfiltered = self._rows(filters)
filtered = self._rows(self._filters(tree_type="Supplier Group", entity=["All Supplier Groups"]))
self.assertEqual(set(filtered), {"All Supplier Groups"})
self.assertAlmostEqual(
filtered["All Supplier Groups"]["total"],
unfiltered["All Supplier Groups"]["total"],
places=2,
)
def test_supplier_group_entity_filter(self):
self.make_po()
unfiltered = self._rows(self._filters(tree_type="Supplier Group"))
filtered = self._rows(self._filters(tree_type="Supplier Group", entity=[SUPPLIER_GROUP]))
self.assertEqual(set(filtered), {SUPPLIER_GROUP})
self.assertEqual(filtered[SUPPLIER_GROUP]["indent"], 0)
self.assertAlmostEqual(
filtered[SUPPLIER_GROUP]["total"], unfiltered[SUPPLIER_GROUP]["total"], places=2
)
def test_supplier_group_tree_rolls_up_to_root(self):
filters = self._filters(tree_type="Supplier Group")
base = self._rows(filters)
base_group = flt(base.get(SUPPLIER_GROUP, {}).get("total", 0.0))
po = self.make_po(qty=4, rate=250)
rows = self._rows(filters)
# supplier is remapped to its group; the root sits at indent 0
self.assertIn(SUPPLIER_GROUP, rows)
self.assertIn("All Supplier Groups", rows)
self.assertNotIn(SUPPLIER, rows)
self.assertEqual(rows["All Supplier Groups"]["indent"], 0)
self.assertAlmostEqual(rows[SUPPLIER_GROUP]["total"] - base_group, flt(po.base_net_total), places=2)
self.assertGreaterEqual(flt(rows["All Supplier Groups"]["total"]), flt(po.base_net_total))
def test_item_group_tree_rolls_up_to_root(self):
item_group = frappe.db.get_value("Item", "_Test Item", "item_group")
filters = self._filters(tree_type="Item Group")
base = self._rows(filters)
base_group = flt(base.get(item_group, {}).get("total", 0.0))
po = self.make_po(qty=4, rate=250)
rows = self._rows(filters)
self.assertIn(item_group, rows)
self.assertIn("All Item Groups", rows)
# the raw item code must not leak as its own entity; the root sits at indent 0
self.assertNotIn("_Test Item", rows)
self.assertEqual(rows["All Item Groups"]["indent"], 0)
self.assertAlmostEqual(rows[item_group]["total"] - base_group, flt(po.base_net_total), places=2)
self.assertGreaterEqual(flt(rows["All Item Groups"]["total"]), flt(po.base_net_total))
def test_supplier_group_by_quantity(self):
filters = self._filters(tree_type="Supplier Group", value_quantity="Quantity")
base = self._rows(filters)
base_qty = flt(base.get(SUPPLIER_GROUP, {}).get("total", 0.0))
base_root_qty = flt(base.get("All Supplier Groups", {}).get("total", 0.0))
po = self.make_po(qty=7, rate=100)
rows = self._rows(filters)
self.assertAlmostEqual(rows[SUPPLIER_GROUP]["total"] - base_qty, flt(po.total_qty), places=2)
# the quantity must roll up to the root too, not just the leaf group
self.assertAlmostEqual(
rows["All Supplier Groups"]["total"] - base_root_qty, flt(po.total_qty), places=2
)

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@@ -2,6 +2,18 @@
// For license information, please see license.txt
frappe.query_reports["Sales Analytics"] = {
// "All" reports on every doctype at once and forces the tree to Customer
entity_tree_type() {
const doc_type = frappe.query_report.get_filter_value("doc_type");
return doc_type === "All" ? "Customer" : frappe.query_report.get_filter_value("tree_type");
},
reset_entity_filter() {
const entity_filter = frappe.query_report.get_filter("entity");
if (!entity_filter) return;
entity_filter.df.label = __(this.entity_tree_type());
entity_filter.set_value([]);
entity_filter.refresh();
},
filters: [
{
fieldname: "tree_type",
@@ -18,6 +30,21 @@ frappe.query_reports["Sales Analytics"] = {
],
default: "Customer",
reqd: 1,
on_change: function () {
frappe.query_reports["Sales Analytics"].reset_entity_filter();
frappe.query_report.refresh();
},
},
{
fieldname: "entity",
label: __("Entity"),
fieldtype: "MultiSelectList",
get_data: function (txt) {
const tree_type = frappe.query_reports["Sales Analytics"].entity_tree_type();
if (!tree_type || tree_type === "Order Type") return [];
return frappe.db.get_link_options(tree_type, txt);
},
depends_on: "eval:doc.tree_type != 'Order Type'",
},
{
fieldname: "doc_type",
@@ -26,6 +53,10 @@ frappe.query_reports["Sales Analytics"] = {
options: ["Sales Order", "Delivery Note", "Sales Invoice"],
default: "Sales Invoice",
reqd: 1,
on_change: function () {
frappe.query_reports["Sales Analytics"].reset_entity_filter();
frappe.query_report.refresh();
},
},
{
fieldname: "value_quantity",

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@@ -18,6 +18,12 @@ def execute(filters=None):
class Analytics:
def __init__(self, filters=None):
self.filters = frappe._dict(filters or {})
<<<<<<< HEAD
=======
self.entities = self.filters.get("entity") or []
if self.filters.doc_type == "Payment Entry" and self.filters.value_quantity == "Quantity":
frappe.throw(_("Only Value available for Payment Entry"))
>>>>>>> 3f29cdf (feat(analytics): filter sales and purchase analytics by entity (#58402))
self.date_field = (
"transaction_date"
if self.filters.doc_type in ["Sales Order", "Purchase Order"]
@@ -61,6 +67,7 @@ class Analytics:
self.update_company_list_for_parent_company()
self.get_columns()
self.get_data()
self.filter_data_by_entities()
self.get_chart_data()
# Skipping total row for tree-view reports
@@ -325,6 +332,23 @@ class Analytics:
filters=filters,
)
def filter_data_by_entities(self):
if not self.entities:
return
entities = set(self.entities)
selected_data = []
for row in self.data:
if row["entity"] not in entities:
continue
row = row.copy()
if "indent" in row:
row["indent"] = 0
selected_data.append(row)
self.data = selected_data
def get_rows(self):
self.data = []
self.get_periodic_data()

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@@ -0,0 +1,236 @@
# Copyright (c) 2024, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
import frappe
from frappe.utils import flt
from erpnext.buying.doctype.purchase_order.test_purchase_order import create_purchase_order
from erpnext.selling.doctype.sales_order.test_sales_order import make_sales_order
from erpnext.selling.report.sales_analytics.sales_analytics import execute
from erpnext.tests.utils import ERPNextTestSuite
# Bootstrap masters reused as-is (see erpnext/tests/utils.py):
# "_Test Customer" -> customer_group "_Test Customer Group", territory "_Test Territory"
# "_Test Supplier" -> supplier_group "_Test Supplier Group" (child of "All Supplier Groups")
# Sales Order.order_type defaults to "Sales" (reqd Select field)
COMPANY = "_Test Company"
CUSTOMER = "_Test Customer"
CUSTOMER_GROUP = "_Test Customer Group"
TERRITORY = "_Test Territory"
SUPPLIER = "_Test Supplier"
SUPPLIER_GROUP = "_Test Supplier Group"
FROM_DATE = "2019-04-01"
TO_DATE = "2019-06-30"
class TestSalesAnalytics(ERPNextTestSuite):
def setUp(self):
frappe.set_user("Administrator")
# Two submitted Sales Orders for the bootstrap customer inside the report window.
# These roll up into the tree roots the converted tree/order-type queries build.
self.orders = [
make_sales_order(
company=COMPANY,
customer=CUSTOMER,
qty=5,
rate=100,
transaction_date="2019-04-10",
),
make_sales_order(
company=COMPANY,
customer=CUSTOMER,
qty=3,
rate=100,
transaction_date="2019-05-15",
),
]
def _base_filters(self, **overrides):
filters = {
"doc_type": "Sales Order",
"value_quantity": "Value",
"range": "Monthly",
"company": COMPANY,
"from_date": FROM_DATE,
"to_date": TO_DATE,
}
filters.update(overrides)
return filters
def _expected_value_total(self):
return sum(flt(so.base_net_total) for so in self.orders)
def _expected_qty_total(self):
return sum(flt(so.total_qty) for so in self.orders)
def _row_by_entity(self, data):
return {row["entity"]: row for row in data}
def test_customer_entity_filter(self):
_columns, data, _message, chart, *_rest = execute(
self._base_filters(tree_type="Customer", entity=[CUSTOMER], curves="all")
)
self.assertEqual({row["entity"] for row in data}, {CUSTOMER})
self.assertAlmostEqual(data[0]["total"], self._expected_value_total(), places=2)
self.assertEqual({dataset["name"] for dataset in chart["data"]["datasets"]}, {CUSTOMER})
def test_parent_customer_group_filter_preserves_rollup(self):
_columns, unfiltered_data, *_rest = execute(self._base_filters(tree_type="Customer Group"))
_columns, filtered_data, *_rest = execute(
self._base_filters(tree_type="Customer Group", entity=["All Customer Groups"])
)
unfiltered = self._row_by_entity(unfiltered_data)
filtered = self._row_by_entity(filtered_data)
self.assertEqual(set(filtered), {"All Customer Groups"})
self.assertAlmostEqual(
filtered["All Customer Groups"]["total"],
unfiltered["All Customer Groups"]["total"],
places=2,
)
def test_customer_group_entity_filter(self):
_columns, unfiltered_data, *_rest = execute(self._base_filters(tree_type="Customer Group"))
_columns, filtered_data, *_rest = execute(
self._base_filters(tree_type="Customer Group", entity=[CUSTOMER_GROUP])
)
unfiltered = self._row_by_entity(unfiltered_data)
filtered = self._row_by_entity(filtered_data)
self.assertEqual(set(filtered), {CUSTOMER_GROUP})
self.assertEqual(filtered[CUSTOMER_GROUP]["indent"], 0)
self.assertAlmostEqual(
filtered[CUSTOMER_GROUP]["total"], unfiltered[CUSTOMER_GROUP]["total"], places=2
)
def test_customer_group_tree_rolls_up_to_root(self):
"""tree_type='Customer Group' drives get_groups (tree get_all ordered by lft)
and get_rows_by_group, rolling child values up to the 'All Customer Groups' root."""
columns, data, *_ = execute(self._base_filters(tree_type="Customer Group"))
self.assertTrue(columns)
self.assertTrue(data)
rows = self._row_by_entity(data)
# The whole tree is returned, so both the root and the customer's own group appear.
self.assertIn("All Customer Groups", rows)
self.assertIn(CUSTOMER_GROUP, rows)
expected = self._expected_value_total()
self.assertGreater(expected, 0)
# Leaf group holds the orders; root receives the same total via roll-up.
self.assertAlmostEqual(rows[CUSTOMER_GROUP]["total"], expected, places=2)
self.assertAlmostEqual(rows["All Customer Groups"]["total"], expected, places=2)
# Roots of a tree report sit at indent 0.
self.assertEqual(rows["All Customer Groups"]["indent"], 0)
def test_territory_tree_rolls_up_to_root(self):
"""tree_type='Territory' exercises the same tree path against the Territory tree."""
columns, data, *_ = execute(self._base_filters(tree_type="Territory"))
self.assertTrue(columns)
rows = self._row_by_entity(data)
self.assertIn("All Territories", rows)
self.assertIn(TERRITORY, rows)
expected = self._expected_value_total()
self.assertAlmostEqual(rows[TERRITORY]["total"], expected, places=2)
self.assertAlmostEqual(rows["All Territories"]["total"], expected, places=2)
def test_order_type_synthetic_tree(self):
"""tree_type='Order Type' drives get_teams: distinct order_type rebuilt in Python
under a synthetic 'Order Types' root, then rolled up via get_rows_by_group."""
columns, data, *_ = execute(self._base_filters(tree_type="Order Type"))
self.assertTrue(columns)
rows = self._row_by_entity(data)
# Synthetic root plus the default order_type the bootstrap Sales Orders carry.
self.assertIn("Order Types", rows)
self.assertIn("Sales", rows)
self.assertEqual(rows["Order Types"]["indent"], 0)
expected = self._expected_value_total()
self.assertAlmostEqual(rows["Sales"]["total"], expected, places=2)
self.assertAlmostEqual(rows["Order Types"]["total"], expected, places=2)
def test_order_type_leaf_rows_in_sorted_order(self):
"""get_teams fetches distinct order_types; frappe drops the SQL ORDER BY for distinct queries on
postgres, so the report sorts the order-type rows in python (key=str.casefold) to keep them in a
deterministic, case-insensitive order identical on both engines."""
for order_type in ("Shopping Cart", "Maintenance", "Sales"): # created out of sorted order
so = make_sales_order(
company=COMPANY,
customer=CUSTOMER,
qty=1,
rate=100,
transaction_date="2019-04-12",
do_not_submit=True,
)
so.order_type = order_type
so.submit()
columns, data, *_ = execute(self._base_filters(tree_type="Order Type"))
mine = {"Sales", "Maintenance", "Shopping Cart"}
leaves = [row["entity"] for row in data if row.get("entity") in mine]
# the order-type rows must appear in casefold-sorted order on both engines
self.assertEqual(leaves, sorted(leaves, key=str.casefold))
self.assertEqual(set(leaves), mine)
def test_customer_group_by_quantity(self):
"""value_quantity='Quantity' switches the selected value column (total_qty)."""
_columns, data, *_ = execute(
self._base_filters(tree_type="Customer Group", value_quantity="Quantity")
)
rows = self._row_by_entity(data)
self.assertIn(CUSTOMER_GROUP, rows)
expected_qty = self._expected_qty_total()
self.assertGreater(expected_qty, 0)
self.assertAlmostEqual(rows[CUSTOMER_GROUP]["total"], expected_qty, places=2)
self.assertAlmostEqual(rows["All Customer Groups"]["total"], expected_qty, places=2)
def test_supplier_group_tree_maps_supplier_to_group(self):
"""tree_type='Supplier Group' (doc_type='Purchase Order') exercises
get_supplier_parent_child_map: the query selects 'supplier' as entity, then
get_periodic_data remaps each supplier to its group via the parent->child map
built by frappe.get_all('Supplier', ['name', 'supplier_group'], as_list=True).
The group total then rolls up into the 'All Supplier Groups' root."""
# Baseline the report before adding our Purchase Order so the assertion is
# robust to any pre-existing rows in the historical window.
base_filters = self._base_filters(tree_type="Supplier Group", doc_type="Purchase Order")
_columns, base_data, *_ = execute(base_filters)
base_rows = self._row_by_entity(base_data)
base_group_total = flt(base_rows.get(SUPPLIER_GROUP, {}).get("total", 0.0))
po = create_purchase_order(
company=COMPANY,
supplier=SUPPLIER,
qty=4,
rate=250,
transaction_date="2019-04-10",
)
po_value = flt(po.base_net_total)
self.assertGreater(po_value, 0)
columns, data, *_ = execute(base_filters)
self.assertTrue(columns)
self.assertTrue(data)
rows = self._row_by_entity(data)
# The supplier was remapped to its group; both the leaf group and the tree
# root appear as entities (no raw supplier name leaks into the output).
self.assertIn(SUPPLIER_GROUP, rows)
self.assertIn("All Supplier Groups", rows)
self.assertNotIn(SUPPLIER, rows)
# Roots of a tree report sit at indent 0.
self.assertEqual(rows["All Supplier Groups"]["indent"], 0)
# The new PO lands in the supplier's group via the parent->child map.
self.assertAlmostEqual(rows[SUPPLIER_GROUP]["total"] - base_group_total, po_value, places=2)
# Roll-up: the root aggregates every group, so it covers at least this PO.
self.assertGreaterEqual(flt(rows["All Supplier Groups"]["total"]), po_value)