blob: bf3199ea5f966b2b46a85229618f4de38cd0b51f [file] [log] [blame]
Nabin Hait3edefb12016-07-20 16:13:18 +05301
2# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
3# License: GNU General Public License v3. See license.txt
4
5from __future__ import unicode_literals
6
7import frappe
8from frappe.utils.make_random import get_random
9from erpnext.accounts.doctype.asset.asset import make_purchase_invoice, make_sales_invoice
10from erpnext.accounts.doctype.asset.depreciation import post_depreciation_entries, scrap_asset
11
12def work():
13 frappe.set_user(frappe.db.get_global('demo_accounts_user'))
14
15 asset_list = make_asset_purchase_entry()
16
17 if not asset_list:
18 # fixed_asset.work() already run
19 return
20
21 # post depreciation entries as on today
22 post_depreciation_entries()
23
24 # scrap a random asset
25 frappe.db.set_value("Company", "Wind Power LLC", "disposal_account", "Gain/Loss on Asset Disposal - WPL")
26
27 asset = get_random_asset()
28 scrap_asset(asset.name)
29
30 # Sell a random asset
31 sell_an_asset()
32
33def make_asset_purchase_entry():
34 asset_list = frappe.get_all("Asset", filters={"purchase_invoice": ["in", ("", None)]},
35 fields=["name", "item_code", "gross_purchase_amount", "company", "purchase_date"])
36
37 # make purchase invoice
38 for asset in asset_list:
39 pi = make_purchase_invoice(asset.name, asset.item_code, asset.gross_purchase_amount,
40 asset.company, asset.purchase_date)
41 pi.supplier = get_random("Supplier")
42 pi.save()
43 pi.submit()
44
45 return asset_list
46
47def sell_an_asset():
48 asset = get_random_asset()
49 si = make_sales_invoice(asset.name, asset.item_code, "Wind Power LLC")
50 si.customer = get_random("Customer")
51 si.get("items")[0].rate = asset.value_after_depreciation * 0.8 \
52 if asset.value_after_depreciation else asset.gross_purchase_amount * 0.9
53 si.save()
54 si.submit()
55
56def get_random_asset():
57 return frappe.db.sql(""" select name, item_code, value_after_depreciation, gross_purchase_amount
58 from `tabAsset`
59 where docstatus=1 and status not in ("Scrapped", "Sold") order by rand() limit 1""", as_dict=1)[0]