# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors # License: GNU General Public License v3. See license.txt from __future__ import unicode_literals import frappe from frappe import _ from frappe.utils import date_diff, flt from six import iteritems def execute(filters=None): columns = get_columns(filters) item_details = get_fifo_queue(filters) to_date = filters["to_date"] data = [] for item, item_dict in iteritems(item_details): fifo_queue = sorted(item_dict["fifo_queue"], key=lambda x: x[1]) details = item_dict["details"] if not fifo_queue or (not item_dict.get("total_qty")): continue print(fifo_queue) 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]) row = [details.name, details.item_name, details.description, details.item_group, details.brand] if filters.get("show_warehouse_wise_stock"): row.append(details.warehouse) row.extend([item_dict.get("total_qty"), average_age, earliest_age, latest_age, details.stock_uom]) data.append(row) 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]) if type(batch[0]) in ['int', 'float']: age_qty += batch_age * batch[0] total_qty += batch[0] else: age_qty += batch_age * 1 total_qty += 1 return (age_qty / total_qty) if total_qty else 0.0 def get_columns(filters): columns = [ { "label": _("Item Code"), "fieldname": "item_code", "fieldtype": "Link", "options": "Item", "width": 100 }, { "label": _("Item Name"), "fieldname": "item_name", "fieldtype": "Data", "width": 100 }, { "label": _("Description"), "fieldname": "description", "fieldtype": "Data", "width": 200 }, { "label": _("Item Group"), "fieldname": "item_group", "fieldtype": "Link", "options": "Item Group", "width": 100 }, { "label": _("Brand"), "fieldname": "brand", "fieldtype": "Link", "options": "Brand", "width": 100 }] if filters.get("show_warehouse_wise_stock"): columns +=[{ "label": _("Warehouse"), "fieldname": "warehouse", "fieldtype": "Link", "options": "Warehouse", "width": 100 }] columns.extend([ { "label": _("Available Qty"), "fieldname": "qty", "fieldtype": "Float", "width": 100 }, { "label": _("Average Age"), "fieldname": "average_age", "fieldtype": "Float", "width": 100 }, { "label": _("Earliest"), "fieldname": "earliest", "fieldtype": "Int", "width": 80 }, { "label": _("Latest"), "fieldname": "latest", "fieldtype": "Int", "width": 80 }, { "label": _("UOM"), "fieldname": "uom", "fieldtype": "Link", "options": "UOM", "width": 100 } ]) return columns def get_fifo_queue(filters): item_details = {} transfered_item_details = {} serial_no_batch_purchase_details = {} sle = get_stock_ledger_entries(filters) for d in sle: key = (d.name, d.warehouse) if filters.get('show_warehouse_wise_stock') else d.name item_details.setdefault(key, {"details": d, "fifo_queue": []}) fifo_queue = item_details[key]["fifo_queue"] transfered_item_details.setdefault((d.voucher_no, d.name), []) if d.voucher_type == "Stock Reconciliation": d.actual_qty = flt(d.qty_after_transaction) - flt(item_details[key].get("qty_after_transaction", 0)) if d.actual_qty > 0: if transfered_item_details.get((d.voucher_no, d.name)): qty_to_add = d.actual_qty while qty_to_add: batch = transfered_item_details[(d.voucher_no, d.name)][0] if 0 < batch[0] <= qty_to_add: qty_to_add -= batch[0] fifo_queue.append(batch) transfered_item_details[((d.voucher_no, d.name))].pop(0) else: batch[0] -= qty_to_add fifo_queue.append([qty_to_add, batch[1]]) else: if d.serial_no or d.batch_no: if d.serial_no: for no in d.serial_no.split("\n"): if serial_no_batch_purchase_details.get(no): fifo_queue.append([no, serial_no_batch_purchase_details.get(no)]) else: serial_no_batch_purchase_details.setdefault(no, d.posting_date) fifo_queue.append([no, d.posting_date]) else: if serial_no_batch_purchase_details.get(d.batch_no): fifo_queue.append([d.batch_no, serial_no_batch_purchase_details.get(d.batch_no)]) else: serial_no_batch_purchase_details.setdefault(d.batch_no, d.posting_date) fifo_queue.append([d.batch_no, d.posting_date]) else: fifo_queue.append([d.actual_qty, d.posting_date]) else: if d.serial_no or d.batch_no: serial_no_list = d.serial_no.split("\n") for serial_no in fifo_queue: if serial_no[0] in serial_no_list: fifo_queue.remove(serial_no) 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] transfered_item_details[(d.voucher_no, d.name)].append(fifo_queue.pop(0)) else: # all from current batch batch[0] -= qty_to_pop transfered_item_details[(d.voucher_no, d.name)].append([qty_to_pop, batch[1]]) qty_to_pop = 0 item_details[key]["qty_after_transaction"] = d.qty_after_transaction if "total_qty" not in item_details[key]: item_details[key]["total_qty"] = d.actual_qty else: item_details[key]["total_qty"] += d.actual_qty return item_details def get_stock_ledger_entries(filters): return frappe.db.sql("""select item.name, item.item_name, item_group, brand, description, item.stock_uom, actual_qty, posting_date, voucher_type, voucher_no, serial_no, batch_no, qty_after_transaction, warehouse 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.creation, actual_qty""" #nosec .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"): lft, rgt = frappe.db.get_value('Warehouse', filters.get("warehouse"), ['lft', 'rgt']) conditions.append("""warehouse in (select wh.name from `tabWarehouse` wh where wh.lft >= {0} and rgt <= {1})""".format(lft, rgt)) return "and {}".format(" and ".join(conditions)) if conditions else ""