chore: Stock Ageing and Item Shortage Reports with Charts

This commit is contained in:
marination 2020-05-14 13:20:43 +05:30
parent 12a9328a63
commit 021acd0a01
4 changed files with 240 additions and 21 deletions

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@ -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);
}
}
]
};

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@ -1,29 +1,30 @@
{
"add_total_row": 0,
"apply_user_permissions": 1,
"creation": "2013-08-20 13:43:30",
"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_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;",
"ref_doctype": "Bin",
"report_name": "Item Shortage Report",
"report_type": "Query Report",
"add_total_row": 0,
"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": "2020-05-14 12:32:07.158991",
"modified_by": "Administrator",
"module": "Stock",
"name": "Item Shortage Report",
"owner": "Administrator",
"prepared_report": 0,
"query": "",
"ref_doctype": "Bin",
"report_name": "Item Shortage Report",
"report_type": "Script Report",
"roles": [
{
"role": "Sales User"
},
},
{
"role": "Purchase User"
},
},
{
"role": "Stock User"
}

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@ -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

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@ -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"
}