2013-12-26 05:37:58 +00:00
|
|
|
# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors
|
|
|
|
# License: GNU General Public License v3. See license.txt
|
|
|
|
|
|
|
|
from __future__ import unicode_literals
|
2014-02-14 10:17:51 +00:00
|
|
|
import frappe
|
|
|
|
from frappe.utils import date_diff
|
2013-12-26 05:37:58 +00:00
|
|
|
|
|
|
|
def execute(filters=None):
|
|
|
|
|
|
|
|
columns = get_columns()
|
|
|
|
item_details = get_fifo_queue(filters)
|
|
|
|
to_date = filters["to_date"]
|
|
|
|
data = []
|
|
|
|
for item, item_dict in item_details.items():
|
|
|
|
fifo_queue = item_dict["fifo_queue"]
|
|
|
|
details = item_dict["details"]
|
|
|
|
if not fifo_queue: continue
|
|
|
|
|
|
|
|
average_age = get_average_age(fifo_queue, to_date)
|
|
|
|
earliest_age = date_diff(to_date, fifo_queue[0][1])
|
|
|
|
latest_age = date_diff(to_date, fifo_queue[-1][1])
|
|
|
|
|
|
|
|
data.append([item, details.item_name, details.description, details.item_group,
|
|
|
|
details.brand, average_age, earliest_age, latest_age, details.stock_uom])
|
|
|
|
|
|
|
|
return columns, data
|
|
|
|
|
|
|
|
def get_average_age(fifo_queue, to_date):
|
|
|
|
batch_age = age_qty = total_qty = 0.0
|
|
|
|
for batch in fifo_queue:
|
|
|
|
batch_age = date_diff(to_date, batch[1])
|
|
|
|
age_qty += batch_age * batch[0]
|
|
|
|
total_qty += batch[0]
|
|
|
|
|
|
|
|
return (age_qty / total_qty) if total_qty else 0.0
|
|
|
|
|
|
|
|
def get_columns():
|
|
|
|
return ["Item Code:Link/Item:100", "Item Name::100", "Description::200",
|
|
|
|
"Item Group:Link/Item Group:100", "Brand:Link/Brand:100", "Average Age:Float:100",
|
|
|
|
"Earliest:Int:80", "Latest:Int:80", "UOM:Link/UOM:100"]
|
|
|
|
|
|
|
|
def get_fifo_queue(filters):
|
|
|
|
item_details = {}
|
|
|
|
for d in get_stock_ledger_entries(filters):
|
|
|
|
item_details.setdefault(d.name, {"details": d, "fifo_queue": []})
|
|
|
|
fifo_queue = item_details[d.name]["fifo_queue"]
|
|
|
|
if d.actual_qty > 0:
|
|
|
|
fifo_queue.append([d.actual_qty, d.posting_date])
|
|
|
|
else:
|
|
|
|
qty_to_pop = abs(d.actual_qty)
|
|
|
|
while qty_to_pop:
|
|
|
|
batch = fifo_queue[0] if fifo_queue else [0, None]
|
|
|
|
if 0 < batch[0] <= qty_to_pop:
|
|
|
|
# if batch qty > 0
|
|
|
|
# not enough or exactly same qty in current batch, clear batch
|
|
|
|
qty_to_pop -= batch[0]
|
|
|
|
fifo_queue.pop(0)
|
|
|
|
else:
|
|
|
|
# all from current batch
|
|
|
|
batch[0] -= qty_to_pop
|
|
|
|
qty_to_pop = 0
|
|
|
|
|
|
|
|
return item_details
|
|
|
|
|
|
|
|
def get_stock_ledger_entries(filters):
|
2014-02-26 07:05:33 +00:00
|
|
|
return frappe.db.sql("""select
|
2013-12-26 05:37:58 +00:00
|
|
|
item.name, item.item_name, item_group, brand, description, item.stock_uom,
|
|
|
|
actual_qty, posting_date
|
|
|
|
from `tabStock Ledger Entry` sle,
|
|
|
|
(select name, item_name, description, stock_uom, brand, item_group
|
|
|
|
from `tabItem` {item_conditions}) item
|
|
|
|
where item_code = item.name and
|
|
|
|
company = %(company)s and
|
|
|
|
posting_date <= %(to_date)s
|
|
|
|
{sle_conditions}
|
|
|
|
order by posting_date, posting_time, sle.name"""\
|
|
|
|
.format(item_conditions=get_item_conditions(filters),
|
|
|
|
sle_conditions=get_sle_conditions(filters)), filters, as_dict=True)
|
|
|
|
|
|
|
|
def get_item_conditions(filters):
|
|
|
|
conditions = []
|
|
|
|
if filters.get("item_code"):
|
|
|
|
conditions.append("item_code=%(item_code)s")
|
|
|
|
if filters.get("brand"):
|
|
|
|
conditions.append("brand=%(brand)s")
|
|
|
|
|
|
|
|
return "where {}".format(" and ".join(conditions)) if conditions else ""
|
|
|
|
|
|
|
|
def get_sle_conditions(filters):
|
|
|
|
conditions = []
|
|
|
|
if filters.get("warehouse"):
|
|
|
|
conditions.append("warehouse=%(warehouse)s")
|
|
|
|
|
|
|
|
return "and {}".format(" and ".join(conditions)) if conditions else ""
|