311 lines
11 KiB
Python
311 lines
11 KiB
Python
# 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 flt, cint, getdate, now, date_diff
|
|
from erpnext.stock.utils import add_additional_uom_columns
|
|
from erpnext.stock.report.stock_ledger.stock_ledger import get_item_group_condition
|
|
|
|
from erpnext.stock.report.stock_ageing.stock_ageing import get_fifo_queue, get_average_age
|
|
|
|
from six import iteritems
|
|
|
|
def execute(filters=None):
|
|
if not filters: filters = {}
|
|
|
|
validate_filters(filters)
|
|
|
|
from_date = filters.get('from_date')
|
|
to_date = filters.get('to_date')
|
|
|
|
include_uom = filters.get("include_uom")
|
|
columns = get_columns(filters)
|
|
items = get_items(filters)
|
|
sle = get_stock_ledger_entries(filters, items)
|
|
|
|
if filters.get('show_stock_ageing_data'):
|
|
filters['show_warehouse_wise_stock'] = True
|
|
item_wise_fifo_queue = get_fifo_queue(filters, sle)
|
|
|
|
# if no stock ledger entry found return
|
|
if not sle:
|
|
return columns, []
|
|
|
|
iwb_map = get_item_warehouse_map(filters, sle)
|
|
item_map = get_item_details(items, sle, filters)
|
|
item_reorder_detail_map = get_item_reorder_details(item_map.keys())
|
|
|
|
data = []
|
|
conversion_factors = {}
|
|
|
|
_func = lambda x: x[1]
|
|
|
|
for (company, item, warehouse) in sorted(iwb_map):
|
|
if item_map.get(item):
|
|
qty_dict = iwb_map[(company, item, warehouse)]
|
|
item_reorder_level = 0
|
|
item_reorder_qty = 0
|
|
if item + warehouse in item_reorder_detail_map:
|
|
item_reorder_level = item_reorder_detail_map[item + warehouse]["warehouse_reorder_level"]
|
|
item_reorder_qty = item_reorder_detail_map[item + warehouse]["warehouse_reorder_qty"]
|
|
|
|
report_data = {
|
|
'item_code': item,
|
|
'warehouse': warehouse,
|
|
'company': company,
|
|
'reorder_level': item_reorder_level,
|
|
'reorder_qty': item_reorder_qty,
|
|
}
|
|
report_data.update(item_map[item])
|
|
report_data.update(qty_dict)
|
|
|
|
if include_uom:
|
|
conversion_factors.setdefault(item, item_map[item].conversion_factor)
|
|
|
|
if filters.get('show_stock_ageing_data'):
|
|
fifo_queue = item_wise_fifo_queue[(item, warehouse)].get('fifo_queue')
|
|
|
|
stock_ageing_data = {
|
|
'average_age': 0,
|
|
'earliest_age': 0,
|
|
'latest_age': 0
|
|
}
|
|
if fifo_queue:
|
|
fifo_queue = sorted(filter(_func, fifo_queue), key=_func)
|
|
if not fifo_queue: continue
|
|
|
|
stock_ageing_data['average_age'] = get_average_age(fifo_queue, to_date)
|
|
stock_ageing_data['earliest_age'] = date_diff(to_date, fifo_queue[0][1])
|
|
stock_ageing_data['latest_age'] = date_diff(to_date, fifo_queue[-1][1])
|
|
|
|
report_data.update(stock_ageing_data)
|
|
|
|
data.append(report_data)
|
|
|
|
add_additional_uom_columns(columns, data, include_uom, conversion_factors)
|
|
return columns, data
|
|
|
|
def get_columns(filters):
|
|
"""return columns"""
|
|
|
|
columns = [
|
|
{"label": _("Item"), "fieldname": "item_code", "fieldtype": "Link", "options": "Item", "width": 100},
|
|
{"label": _("Item Name"), "fieldname": "item_name", "width": 150},
|
|
{"label": _("Item Group"), "fieldname": "item_group", "fieldtype": "Link", "options": "Item Group", "width": 100},
|
|
{"label": _("Brand"), "fieldname": "brand", "fieldtype": "Link", "options": "Brand", "width": 90},
|
|
{"label": _("Description"), "fieldname": "description", "width": 140},
|
|
{"label": _("Warehouse"), "fieldname": "warehouse", "fieldtype": "Link", "options": "Warehouse", "width": 100},
|
|
{"label": _("Stock UOM"), "fieldname": "stock_uom", "fieldtype": "Link", "options": "UOM", "width": 90},
|
|
{"label": _("Balance Qty"), "fieldname": "bal_qty", "fieldtype": "Float", "width": 100, "convertible": "qty"},
|
|
{"label": _("Balance Value"), "fieldname": "bal_val", "fieldtype": "Currency", "width": 100},
|
|
{"label": _("Opening Qty"), "fieldname": "opening_qty", "fieldtype": "Float", "width": 100, "convertible": "qty"},
|
|
{"label": _("Opening Value"), "fieldname": "opening_val", "fieldtype": "Float", "width": 110},
|
|
{"label": _("In Qty"), "fieldname": "in_qty", "fieldtype": "Float", "width": 80, "convertible": "qty"},
|
|
{"label": _("In Value"), "fieldname": "in_val", "fieldtype": "Float", "width": 80},
|
|
{"label": _("Out Qty"), "fieldname": "out_qty", "fieldtype": "Float", "width": 80, "convertible": "qty"},
|
|
{"label": _("Out Value"), "fieldname": "out_val", "fieldtype": "Float", "width": 80},
|
|
{"label": _("Valuation Rate"), "fieldname": "val_rate", "fieldtype": "Currency", "width": 90, "convertible": "rate"},
|
|
{"label": _("Reorder Level"), "fieldname": "reorder_level", "fieldtype": "Float", "width": 80, "convertible": "qty"},
|
|
{"label": _("Reorder Qty"), "fieldname": "reorder_qty", "fieldtype": "Float", "width": 80, "convertible": "qty"},
|
|
{"label": _("Company"), "fieldname": "company", "fieldtype": "Link", "options": "Company", "width": 100}
|
|
]
|
|
|
|
if filters.get('show_stock_ageing_data'):
|
|
columns += [{'label': _('Average Age'), 'fieldname': 'average_age', 'width': 100},
|
|
{'label': _('Earliest Age'), 'fieldname': 'earliest_age', 'width': 100},
|
|
{'label': _('Latest Age'), 'fieldname': 'latest_age', 'width': 100}]
|
|
|
|
if filters.get('show_variant_attributes'):
|
|
columns += [{'label': att_name, 'fieldname': att_name, 'width': 100} for att_name in get_variants_attributes()]
|
|
|
|
return columns
|
|
|
|
def get_conditions(filters):
|
|
conditions = ""
|
|
if not filters.get("from_date"):
|
|
frappe.throw(_("'From Date' is required"))
|
|
|
|
if filters.get("to_date"):
|
|
conditions += " and sle.posting_date <= %s" % frappe.db.escape(filters.get("to_date"))
|
|
else:
|
|
frappe.throw(_("'To Date' is required"))
|
|
|
|
if filters.get("warehouse"):
|
|
warehouse_details = frappe.db.get_value("Warehouse",
|
|
filters.get("warehouse"), ["lft", "rgt"], as_dict=1)
|
|
if warehouse_details:
|
|
conditions += " and exists (select name from `tabWarehouse` wh \
|
|
where wh.lft >= %s and wh.rgt <= %s and sle.warehouse = wh.name)"%(warehouse_details.lft,
|
|
warehouse_details.rgt)
|
|
|
|
if filters.get("warehouse_type") and not filters.get("warehouse"):
|
|
conditions += " and exists (select name from `tabWarehouse` wh \
|
|
where wh.warehouse_type = '%s' and sle.warehouse = wh.name)"%(filters.get("warehouse_type"))
|
|
|
|
return conditions
|
|
|
|
def get_stock_ledger_entries(filters, items):
|
|
item_conditions_sql = ''
|
|
if items:
|
|
item_conditions_sql = ' and sle.item_code in ({})'\
|
|
.format(', '.join([frappe.db.escape(i, percent=False) for i in items]))
|
|
|
|
conditions = get_conditions(filters)
|
|
|
|
return frappe.db.sql("""
|
|
select
|
|
sle.item_code, warehouse, sle.posting_date, sle.actual_qty, sle.valuation_rate,
|
|
sle.company, sle.voucher_type, sle.qty_after_transaction, sle.stock_value_difference,
|
|
sle.item_code as name, sle.voucher_no
|
|
from
|
|
`tabStock Ledger Entry` sle force index (posting_sort_index)
|
|
where sle.docstatus < 2 %s %s
|
|
order by sle.posting_date, sle.posting_time, sle.creation, sle.actual_qty""" % #nosec
|
|
(item_conditions_sql, conditions), as_dict=1)
|
|
|
|
def get_item_warehouse_map(filters, sle):
|
|
iwb_map = {}
|
|
from_date = getdate(filters.get("from_date"))
|
|
to_date = getdate(filters.get("to_date"))
|
|
|
|
for d in sle:
|
|
key = (d.company, d.item_code, d.warehouse)
|
|
if key not in iwb_map:
|
|
iwb_map[key] = frappe._dict({
|
|
"opening_qty": 0.0, "opening_val": 0.0,
|
|
"in_qty": 0.0, "in_val": 0.0,
|
|
"out_qty": 0.0, "out_val": 0.0,
|
|
"bal_qty": 0.0, "bal_val": 0.0,
|
|
"val_rate": 0.0
|
|
})
|
|
|
|
qty_dict = iwb_map[(d.company, d.item_code, d.warehouse)]
|
|
|
|
if d.voucher_type == "Stock Reconciliation":
|
|
qty_diff = flt(d.qty_after_transaction) - qty_dict.bal_qty
|
|
else:
|
|
qty_diff = flt(d.actual_qty)
|
|
|
|
value_diff = flt(d.stock_value_difference)
|
|
|
|
if d.posting_date < from_date:
|
|
qty_dict.opening_qty += qty_diff
|
|
qty_dict.opening_val += value_diff
|
|
|
|
elif d.posting_date >= from_date and d.posting_date <= to_date:
|
|
if qty_diff > 0:
|
|
qty_dict.in_qty += qty_diff
|
|
qty_dict.in_val += value_diff
|
|
else:
|
|
qty_dict.out_qty += abs(qty_diff)
|
|
qty_dict.out_val += abs(value_diff)
|
|
|
|
qty_dict.val_rate = d.valuation_rate
|
|
qty_dict.bal_qty += qty_diff
|
|
qty_dict.bal_val += value_diff
|
|
|
|
iwb_map = filter_items_with_no_transactions(iwb_map)
|
|
|
|
return iwb_map
|
|
|
|
def filter_items_with_no_transactions(iwb_map):
|
|
for (company, item, warehouse) in sorted(iwb_map):
|
|
qty_dict = iwb_map[(company, item, warehouse)]
|
|
|
|
no_transactions = True
|
|
float_precision = cint(frappe.db.get_default("float_precision")) or 3
|
|
for key, val in iteritems(qty_dict):
|
|
val = flt(val, float_precision)
|
|
qty_dict[key] = val
|
|
if key != "val_rate" and val:
|
|
no_transactions = False
|
|
|
|
if no_transactions:
|
|
iwb_map.pop((company, item, warehouse))
|
|
|
|
return iwb_map
|
|
|
|
def get_items(filters):
|
|
conditions = []
|
|
if filters.get("item_code"):
|
|
conditions.append("item.name=%(item_code)s")
|
|
else:
|
|
if filters.get("brand"):
|
|
conditions.append("item.brand=%(brand)s")
|
|
if filters.get("item_group"):
|
|
conditions.append(get_item_group_condition(filters.get("item_group")))
|
|
|
|
items = []
|
|
if conditions:
|
|
items = frappe.db.sql_list("""select name from `tabItem` item where {}"""
|
|
.format(" and ".join(conditions)), filters)
|
|
return items
|
|
|
|
def get_item_details(items, sle, filters):
|
|
item_details = {}
|
|
if not items:
|
|
items = list(set([d.item_code for d in sle]))
|
|
|
|
if not items:
|
|
return item_details
|
|
|
|
cf_field = cf_join = ""
|
|
if filters.get("include_uom"):
|
|
cf_field = ", ucd.conversion_factor"
|
|
cf_join = "left join `tabUOM Conversion Detail` ucd on ucd.parent=item.name and ucd.uom=%s" \
|
|
% frappe.db.escape(filters.get("include_uom"))
|
|
|
|
res = frappe.db.sql("""
|
|
select
|
|
item.name, item.item_name, item.description, item.item_group, item.brand, item.stock_uom %s
|
|
from
|
|
`tabItem` item
|
|
%s
|
|
where
|
|
item.name in (%s)
|
|
""" % (cf_field, cf_join, ','.join(['%s'] *len(items))), items, as_dict=1)
|
|
|
|
for item in res:
|
|
item_details.setdefault(item.name, item)
|
|
|
|
if filters.get('show_variant_attributes', 0) == 1:
|
|
variant_values = get_variant_values_for(list(item_details))
|
|
item_details = {k: v.update(variant_values.get(k, {})) for k, v in iteritems(item_details)}
|
|
|
|
return item_details
|
|
|
|
def get_item_reorder_details(items):
|
|
item_reorder_details = frappe._dict()
|
|
|
|
if items:
|
|
item_reorder_details = frappe.db.sql("""
|
|
select parent, warehouse, warehouse_reorder_qty, warehouse_reorder_level
|
|
from `tabItem Reorder`
|
|
where parent in ({0})
|
|
""".format(', '.join([frappe.db.escape(i, percent=False) for i in items])), as_dict=1)
|
|
|
|
return dict((d.parent + d.warehouse, d) for d in item_reorder_details)
|
|
|
|
def validate_filters(filters):
|
|
if not (filters.get("item_code") or filters.get("warehouse")):
|
|
sle_count = flt(frappe.db.sql("""select count(name) from `tabStock Ledger Entry`""")[0][0])
|
|
if sle_count > 500000:
|
|
frappe.throw(_("Please set filter based on Item or Warehouse due to a large amount of entries."))
|
|
|
|
def get_variants_attributes():
|
|
'''Return all item variant attributes.'''
|
|
return [i.name for i in frappe.get_all('Item Attribute')]
|
|
|
|
def get_variant_values_for(items):
|
|
'''Returns variant values for items.'''
|
|
attribute_map = {}
|
|
for attr in frappe.db.sql('''select parent, attribute, attribute_value
|
|
from `tabItem Variant Attribute` where parent in (%s)
|
|
''' % ", ".join(["%s"] * len(items)), tuple(items), as_dict=1):
|
|
attribute_map.setdefault(attr['parent'], {})
|
|
attribute_map[attr['parent']].update({attr['attribute']: attr['attribute_value']})
|
|
|
|
return attribute_map
|