260 lines
6.9 KiB
Python
260 lines
6.9 KiB
Python
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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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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import frappe
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from frappe import _
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from frappe.utils import date_diff, flt
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from six import iteritems
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from erpnext.stock.doctype.serial_no.serial_no import get_serial_nos
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def execute(filters=None):
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columns = get_columns(filters)
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item_details = get_fifo_queue(filters)
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to_date = filters["to_date"]
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_func = lambda x: x[1]
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data = []
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for item, item_dict in iteritems(item_details):
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fifo_queue = sorted(filter(_func, item_dict["fifo_queue"]), key=_func)
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details = item_dict["details"]
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if not fifo_queue or (not item_dict.get("total_qty")): 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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row = [details.name, details.item_name,
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details.description, details.item_group, details.brand]
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if filters.get("show_warehouse_wise_stock"):
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row.append(details.warehouse)
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row.extend([item_dict.get("total_qty"), average_age,
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earliest_age, latest_age, details.stock_uom])
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data.append(row)
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chart_data = get_chart_data(data, filters)
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return columns, data, None, chart_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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if type(batch[0]) in ['int', 'float']:
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age_qty += batch_age * batch[0]
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total_qty += batch[0]
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else:
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age_qty += batch_age * 1
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total_qty += 1
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return (age_qty / total_qty) if total_qty else 0.0
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def get_columns(filters):
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columns = [
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{
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"label": _("Item Code"),
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"fieldname": "item_code",
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"fieldtype": "Link",
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"options": "Item",
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"width": 100
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},
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{
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"label": _("Item Name"),
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"fieldname": "item_name",
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"fieldtype": "Data",
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"width": 100
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},
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{
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"label": _("Description"),
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"fieldname": "description",
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"fieldtype": "Data",
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"width": 200
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},
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{
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"label": _("Item Group"),
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"fieldname": "item_group",
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"fieldtype": "Link",
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"options": "Item Group",
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"width": 100
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},
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{
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"label": _("Brand"),
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"fieldname": "brand",
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"fieldtype": "Link",
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"options": "Brand",
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"width": 100
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}]
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if filters.get("show_warehouse_wise_stock"):
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columns +=[{
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"label": _("Warehouse"),
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"fieldname": "warehouse",
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"fieldtype": "Link",
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"options": "Warehouse",
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"width": 100
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}]
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columns.extend([
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{
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"label": _("Available Qty"),
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"fieldname": "qty",
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"fieldtype": "Float",
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"width": 100
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},
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{
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"label": _("Average Age"),
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"fieldname": "average_age",
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"fieldtype": "Float",
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"width": 100
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},
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{
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"label": _("Earliest"),
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"fieldname": "earliest",
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"fieldtype": "Int",
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"width": 80
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},
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{
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"label": _("Latest"),
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"fieldname": "latest",
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"fieldtype": "Int",
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"width": 80
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},
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{
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"label": _("UOM"),
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"fieldname": "uom",
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"fieldtype": "Link",
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"options": "UOM",
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"width": 100
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}
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])
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return columns
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def get_fifo_queue(filters, sle=None):
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item_details = {}
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transferred_item_details = {}
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serial_no_batch_purchase_details = {}
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if sle == None:
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sle = get_stock_ledger_entries(filters)
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for d in sle:
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key = (d.name, d.warehouse) if filters.get('show_warehouse_wise_stock') else d.name
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item_details.setdefault(key, {"details": d, "fifo_queue": []})
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fifo_queue = item_details[key]["fifo_queue"]
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transferred_item_details.setdefault((d.voucher_no, d.name), [])
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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[key].get("qty_after_transaction", 0))
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serial_no_list = get_serial_nos(d.serial_no) if d.serial_no else []
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if d.actual_qty > 0:
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if transferred_item_details.get((d.voucher_no, d.name)):
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batch = transferred_item_details[(d.voucher_no, d.name)][0]
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fifo_queue.append(batch)
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transferred_item_details[((d.voucher_no, d.name))].pop(0)
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else:
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if serial_no_list:
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for serial_no in serial_no_list:
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if serial_no_batch_purchase_details.get(serial_no):
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fifo_queue.append([serial_no, serial_no_batch_purchase_details.get(serial_no)])
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else:
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serial_no_batch_purchase_details.setdefault(serial_no, d.posting_date)
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fifo_queue.append([serial_no, d.posting_date])
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else:
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fifo_queue.append([d.actual_qty, d.posting_date])
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else:
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if serial_no_list:
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for serial_no in fifo_queue:
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if serial_no[0] in serial_no_list:
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fifo_queue.remove(serial_no)
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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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transferred_item_details[(d.voucher_no, d.name)].append(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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transferred_item_details[(d.voucher_no, d.name)].append([qty_to_pop, batch[1]])
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qty_to_pop = 0
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item_details[key]["qty_after_transaction"] = d.qty_after_transaction
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if "total_qty" not in item_details[key]:
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item_details[key]["total_qty"] = d.actual_qty
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else:
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item_details[key]["total_qty"] += d.actual_qty
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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, voucher_no, serial_no, batch_no, qty_after_transaction, warehouse
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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.creation, actual_qty""" #nosec
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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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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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lft, rgt = frappe.db.get_value('Warehouse', filters.get("warehouse"), ['lft', 'rgt'])
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conditions.append("""warehouse in (select wh.name from `tabWarehouse` wh
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where wh.lft >= {0} and rgt <= {1})""".format(lft, rgt))
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return "and {}".format(" and ".join(conditions)) if conditions else ""
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def get_chart_data(data, filters):
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labels, datapoints = [], []
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if filters.get("show_warehouse_wise_stock"):
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return {}
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if len(data) > 10:
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data = data[:10]
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for row in data:
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labels.append(row[0])
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datapoints.append(row[6])
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return {
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"data" : {
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"labels": labels,
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"datasets": [
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{
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"name": _("Average Age"),
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"values": datapoints
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}
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]
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},
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"type" : "bar"
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} |