2015-03-03 09:25:30 +00:00
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# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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2013-12-26 05:37:58 +00:00
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# License: GNU General Public License v3. See license.txt
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from __future__ import unicode_literals
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2014-02-14 10:17:51 +00:00
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import frappe
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2014-09-11 08:15:27 +00:00
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from frappe import _
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2014-10-07 09:32:58 +00:00
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from frappe.utils import date_diff, flt
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2013-12-26 05:37:58 +00:00
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def execute(filters=None):
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2013-12-26 05:37:58 +00:00
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columns = get_columns()
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item_details = get_fifo_queue(filters)
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to_date = filters["to_date"]
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data = []
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for item, item_dict in item_details.items():
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fifo_queue = item_dict["fifo_queue"]
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details = item_dict["details"]
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if not fifo_queue: continue
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average_age = get_average_age(fifo_queue, to_date)
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earliest_age = date_diff(to_date, fifo_queue[0][1])
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latest_age = date_diff(to_date, fifo_queue[-1][1])
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data.append([item, details.item_name, details.description, details.item_group,
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details.brand, average_age, earliest_age, latest_age, details.stock_uom])
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return columns, data
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def get_average_age(fifo_queue, to_date):
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batch_age = age_qty = total_qty = 0.0
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for batch in fifo_queue:
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batch_age = date_diff(to_date, batch[1])
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age_qty += batch_age * batch[0]
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total_qty += batch[0]
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2013-12-26 05:37:58 +00:00
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return (age_qty / total_qty) if total_qty else 0.0
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def get_columns():
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return [_("Item Code") + ":Link/Item:100", _("Item Name") + "::100", _("Description") + "::200",
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_("Item Group") + ":Link/Item Group:100", _("Brand") + ":Link/Brand:100", _("Average Age") + ":Float:100",
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_("Earliest") + ":Int:80", _("Latest") + ":Int:80", _("UOM") + ":Link/UOM:100"]
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def get_fifo_queue(filters):
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item_details = {}
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for d in get_stock_ledger_entries(filters):
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item_details.setdefault(d.name, {"details": d, "fifo_queue": []})
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fifo_queue = item_details[d.name]["fifo_queue"]
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if d.voucher_type == "Stock Reconciliation":
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d.actual_qty = flt(d.qty_after_transaction) - flt(item_details[d.name].get("qty_after_transaction", 0))
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if d.actual_qty > 0:
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fifo_queue.append([d.actual_qty, d.posting_date])
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else:
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qty_to_pop = abs(d.actual_qty)
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while qty_to_pop:
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batch = fifo_queue[0] if fifo_queue else [0, None]
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if 0 < batch[0] <= qty_to_pop:
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# if batch qty > 0
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# not enough or exactly same qty in current batch, clear batch
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qty_to_pop -= batch[0]
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fifo_queue.pop(0)
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else:
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# all from current batch
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batch[0] -= qty_to_pop
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qty_to_pop = 0
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2014-10-22 07:36:26 +00:00
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item_details[d.name]["qty_after_transaction"] = d.qty_after_transaction
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return item_details
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def get_stock_ledger_entries(filters):
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return frappe.db.sql("""select
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item.name, item.item_name, item_group, brand, description, item.stock_uom,
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actual_qty, posting_date, voucher_type, qty_after_transaction
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from `tabStock Ledger Entry` sle,
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(select name, item_name, description, stock_uom, brand, item_group
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from `tabItem` {item_conditions}) item
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where item_code = item.name and
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company = %(company)s and
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posting_date <= %(to_date)s
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{sle_conditions}
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order by posting_date, posting_time, sle.name"""\
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.format(item_conditions=get_item_conditions(filters),
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sle_conditions=get_sle_conditions(filters)), filters, as_dict=True)
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def get_item_conditions(filters):
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conditions = []
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if filters.get("item_code"):
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conditions.append("item_code=%(item_code)s")
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if filters.get("brand"):
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conditions.append("brand=%(brand)s")
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2013-12-26 05:37:58 +00:00
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return "where {}".format(" and ".join(conditions)) if conditions else ""
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def get_sle_conditions(filters):
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conditions = []
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if filters.get("warehouse"):
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conditions.append("warehouse=%(warehouse)s")
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return "and {}".format(" and ".join(conditions)) if conditions else ""
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