chore: Stock Ageing and Item Shortage Reports with Charts

erpnext/stock/report/item_shortage_report/item_shortage_report.js

@@ -0,0 +1,26 @@
+// Copyright (c) 2016, Frappe Technologies Pvt. Ltd. and contributors
+// For license information, please see license.txt
+/* eslint-disable */
+
+frappe.query_reports["Item Shortage Report"] = {
+	"filters": [
+		{
+			"fieldname": "company",
+			"label": __("Company"),
+			"fieldtype": "Link",
+			"width": "80",
+			"options": "Company",
+			"reqd": 1,
+			"default": frappe.defaults.get_default("company")
+		},
+		{
+			"fieldname": "warehouse",
+			"label": __("Warehouse"),
+			"fieldtype": "MultiSelectList",
+			"width": "100",
+			get_data: function(txt) {
+				return frappe.db.get_link_options('Warehouse', txt);
+			}
+		}
+	]
+};

erpnext/stock/report/item_shortage_report/item_shortage_report.json

@@ -1,22 +1,23 @@
 {
  "add_total_row": 0,
- "apply_user_permissions": 1, 
  "creation": "2013-08-20 13:43:30",
+ "disable_prepared_report": 0,
  "disabled": 0,
  "docstatus": 0,
  "doctype": "Report",
  "idx": 3,
  "is_standard": "Yes",
  "json": "{\"add_total_row\": 0, \"sort_by\": \"Bin.projected_qty\", \"sort_order\": \"asc\", \"sort_by_next\": \"\", \"filters\": [[\"Bin\", \"projected_qty\", \"<\", \"0\"]], \"sort_order_next\": \"desc\", \"columns\": [[\"warehouse\", \"Bin\"], [\"item_code\", \"Bin\"], [\"actual_qty\", \"Bin\"], [\"ordered_qty\", \"Bin\"], [\"planned_qty\", \"Bin\"], [\"reserved_qty\", \"Bin\"], [\"projected_qty\", \"Bin\"]]}",
- "modified": "2017-02-24 20:00:46.439935", 
+ "modified": "2020-05-14 12:32:07.158991",
  "modified_by": "Administrator",
  "module": "Stock",
  "name": "Item Shortage Report",
  "owner": "Administrator",
- "query": "SELECT  bin.warehouse as \"Warehouse:Link/Warehouse:150\",\n\tbin.item_code as \"Item Code:Link/Item:100\",\n\tbin.actual_qty as \"Actual Quantity:Float:120\",\n\tbin.ordered_qty as \"Ordered Quantity:Float:120\",\n\tbin.planned_qty as \"Planned Quantity:Float:120\",\n\tbin.reserved_qty as \"Reserved Quantity:Float:120\",\n\tbin.projected_qty as \"Project Quantity:Float:120\",\n\titem.item_name as \"Item Name:Data:150\",\n\titem.description as \"Description::200\"\nFROM tabBin as bin\nINNER JOIN tabItem as item\nON bin.item_code=item.name\nWHERE bin.projected_qty<0\nORDER BY bin.projected_qty;", 
+ "prepared_report": 0,
+ "query": "",
  "ref_doctype": "Bin",
  "report_name": "Item Shortage Report",
- "report_type": "Query Report", 
+ "report_type": "Script Report",
  "roles": [
   {
    "role": "Sales User"

erpnext/stock/report/item_shortage_report/item_shortage_report.py

@@ -0,0 +1,162 @@
+# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
+# For license information, please see license.txt
+
+from __future__ import unicode_literals
+import frappe
+from frappe import _
+
+def execute(filters=None):
+	columns = get_columns()
+	conditions = get_conditions(filters)
+	data = get_data(conditions, filters)
+
+	if not data:
+		return [], []
+
+	chart_data = get_chart_data(data)
+
+	return columns, data, None, chart_data
+
+def get_conditions(filters):
+	conditions = ""
+
+	if filters.get("warehouse"):
+		conditions += "AND warehouse in %(warehouse)s"
+	if filters.get("company"):
+		conditions += "AND company = %(company)s"
+
+	return conditions
+
+def get_data(conditions, filters):
+	data = frappe.db.sql("""
+		SELECT
+			bin.warehouse,
+			bin.item_code,
+			bin.actual_qty ,
+			bin.ordered_qty ,
+			bin.planned_qty ,
+			bin.reserved_qty ,
+			bin.reserved_qty_for_production,
+			bin.projected_qty ,
+			warehouse.company,
+			item.item_name ,
+			item.description
+		FROM
+			`tabBin` bin,
+			`tabWarehouse` warehouse,
+			`tabItem` item
+		WHERE
+			bin.projected_qty<0
+			AND warehouse.name = bin.warehouse
+			AND bin.item_code=item.name
+			{0}
+		ORDER BY bin.projected_qty;""".format(conditions), filters, as_dict=1)
+
+	return data
+
+def get_chart_data(data):
+	labels, datapoints = [], []
+
+	for row in data:
+		labels.append(row.get("item_code"))
+		datapoints.append(row.get("projected_qty"))
+
+	if len(data) > 10:
+		labels = labels[:10]
+		datapoints = datapoints[:10]
+
+	return {
+		"data": {
+			"labels": labels,
+			"datasets":[
+				{
+					"name": _("Projected Qty"),
+					"values": datapoints
+				}
+			]
+		},
+		"type": "bar"
+	}
+
+def get_columns():
+	columns = [
+		{
+			"label": _("Warehouse"),
+			"fieldname": "warehouse",
+			"fieldtype": "Link",
+			"options": "Warehouse",
+			"width": 150
+		},
+		{
+			"label": _("Item"),
+			"fieldname": "item_code",
+			"fieldtype": "Link",
+			"options": "Item",
+			"width": 150
+		},
+		{
+			"label": _("Actual Quantity"),
+			"fieldname": "actual_qty",
+			"fieldtype": "Float",
+			"width": 120,
+			"convertible": "qty"
+		},
+		{
+			"label": _("Ordered Quantity"),
+			"fieldname": "ordered_qty",
+			"fieldtype": "Float",
+			"width": 120,
+			"convertible": "qty"
+		},
+		{
+			"label": _("Planned Quantity"),
+			"fieldname": "planned_qty",
+			"fieldtype": "Float",
+			"width": 120,
+			"convertible": "qty"
+		},
+		{
+			"label": _("Reserved Quantity"),
+			"fieldname": "reserved_qty",
+			"fieldtype": "Float",
+			"width": 120,
+			"convertible": "qty"
+		},
+		{
+			"label": _("Reserved Quantity for Production"),
+			"fieldname": "reserved_qty_for_production",
+			"fieldtype": "Float",
+			"width": 120,
+			"convertible": "qty"
+		},
+		{
+			"label": _("Projected Quantity"),
+			"fieldname": "projected_qty",
+			"fieldtype": "Float",
+			"width": 120,
+			"convertible": "qty"
+		},
+		{
+			"label": _("Company"),
+			"fieldname": "company",
+			"fieldtype": "Link",
+			"options": "Company",
+			"width": 120
+		},
+		{
+			"label": _("Item Name"),
+			"fieldname": "item_name",
+			"fieldtype": "Data",
+			"width": 100
+		},
+		{
+			"label": _("Description"),
+			"fieldname": "description",
+			"fieldtype": "Data",
+			"width": 120
+		}
+	]
+
+	return columns
+
+

erpnext/stock/report/stock_ageing/stock_ageing.py

@@ -37,7 +37,9 @@ def execute(filters=None):
 
 		data.append(row)
 
-	return columns, data
+	chart_data = get_chart_data(data, filters)
+
+	return columns, data, None, chart_data
 
 def get_average_age(fifo_queue, to_date):
 	batch_age = age_qty = total_qty = 0.0
@@ -230,3 +232,31 @@ def get_sle_conditions(filters):
 			where wh.lft >= {0} and rgt <= {1})""".format(lft, rgt))
 
 	return "and {}".format(" and ".join(conditions)) if conditions else ""
+
+def get_chart_data(data, filters):
+	labels, datapoints = [], []
+
+	if filters.get("show_warehouse_wise_stock"):
+		return {}
+
+	if len(data) > 10:
+		data = data[:10]
+
+	for row in data:
+		labels.append(row[0])
+		datapoints.append(row[6])
+
+	print(labels)
+	print(datapoints)
+	return {
+		"data" : {
+			"labels": labels,
+			"datasets": [
+				{
+					"name": _("Average Age"),
+					"values": datapoints
+				}
+			]
+		},
+		"type" : "bar"
+	}