Merge pull request #4792 from anandpdoshi/optimize/stock-balance-report
[optimization] stock balance report - force index + improve memory usage
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commit
cc57088f5c
@ -14,21 +14,19 @@ def execute(filters=None):
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iwb_map = get_item_warehouse_map(filters)
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data = []
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for company in sorted(iwb_map):
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for item in sorted(iwb_map[company]):
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for wh in sorted(iwb_map[company][item]):
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qty_dict = iwb_map[company][item][wh]
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data.append([item, item_map[item]["item_name"],
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item_map[item]["item_group"],
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item_map[item]["brand"],
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item_map[item]["description"], wh,
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item_map[item]["stock_uom"], qty_dict.opening_qty,
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qty_dict.opening_val, qty_dict.in_qty,
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qty_dict.in_val, qty_dict.out_qty,
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qty_dict.out_val, qty_dict.bal_qty,
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qty_dict.bal_val, qty_dict.val_rate,
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company
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])
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for (company, item, warehouse) in sorted(iwb_map):
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qty_dict = iwb_map[(company, item, warehouse)]
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data.append([item, item_map[item]["item_name"],
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item_map[item]["item_group"],
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item_map[item]["brand"],
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item_map[item]["description"], warehouse,
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item_map[item]["stock_uom"], qty_dict.opening_qty,
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qty_dict.opening_val, qty_dict.in_qty,
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qty_dict.in_val, qty_dict.out_qty,
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qty_dict.out_val, qty_dict.bal_qty,
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qty_dict.bal_val, qty_dict.val_rate,
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company
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])
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return columns, data
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@ -36,22 +34,22 @@ def get_columns(filters):
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"""return columns based on filters"""
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columns = [
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_("Item")+":Link/Item:100",
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_("Item Name")+"::150",
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_("Item Group")+"::100",
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_("Brand")+"::90",
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_("Description")+"::140",
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_("Warehouse")+":Link/Warehouse:100",
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_("Stock UOM")+":Link/UOM:90",
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_("Opening Qty")+":Float:100",
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_("Opening Value")+":Float:110",
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_("In Qty")+":Float:80",
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_("In Value")+":Float:80",
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_("Out Qty")+":Float:80",
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_("Out Value")+":Float:80",
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_("Balance Qty")+":Float:100",
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_("Balance Value")+":Float:100",
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_("Valuation Rate")+":Float:90",
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_("Item")+":Link/Item:100",
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_("Item Name")+"::150",
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_("Item Group")+"::100",
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_("Brand")+"::90",
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_("Description")+"::140",
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_("Warehouse")+":Link/Warehouse:100",
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_("Stock UOM")+":Link/UOM:90",
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_("Opening Qty")+":Float:100",
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_("Opening Value")+":Float:110",
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_("In Qty")+":Float:80",
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_("In Value")+":Float:80",
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_("Out Qty")+":Float:80",
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_("Out Value")+":Float:80",
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_("Balance Qty")+":Float:100",
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_("Balance Value")+":Float:100",
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_("Valuation Rate")+":Float:90",
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_("Company")+":Link/Company:100"
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]
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@ -63,7 +61,7 @@ def get_conditions(filters):
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frappe.throw(_("'From Date' is required"))
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if filters.get("to_date"):
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conditions += " and posting_date <= '%s'" % filters["to_date"]
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conditions += " and posting_date <= '%s'" % frappe.db.escape(filters["to_date"])
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else:
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frappe.throw(_("'To Date' is required"))
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@ -76,25 +74,30 @@ def get_conditions(filters):
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def get_stock_ledger_entries(filters):
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conditions = get_conditions(filters)
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return frappe.db.sql("""select item_code, warehouse, posting_date, actual_qty, valuation_rate,
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company, voucher_type, qty_after_transaction, stock_value_difference
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from `tabStock Ledger Entry`
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company, voucher_type, qty_after_transaction, stock_value_difference
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from `tabStock Ledger Entry` force index (posting_sort_index)
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where docstatus < 2 %s order by posting_date, posting_time, name""" %
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conditions, as_dict=1)
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def get_item_warehouse_map(filters):
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sle = get_stock_ledger_entries(filters)
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iwb_map = {}
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from_date = getdate(filters["from_date"])
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to_date = getdate(filters["to_date"])
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sle = get_stock_ledger_entries(filters)
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for d in sle:
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iwb_map.setdefault(d.company, {}).setdefault(d.item_code, {}).\
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setdefault(d.warehouse, frappe._dict({\
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key = (d.company, d.item_code, d.warehouse)
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if key not in iwb_map:
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iwb_map[key] = frappe._dict({
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"opening_qty": 0.0, "opening_val": 0.0,
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"in_qty": 0.0, "in_val": 0.0,
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"out_qty": 0.0, "out_val": 0.0,
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"bal_qty": 0.0, "bal_val": 0.0,
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"val_rate": 0.0, "uom": None
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}))
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qty_dict = iwb_map[d.company][d.item_code][d.warehouse]
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})
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qty_dict = iwb_map[(d.company, d.item_code, d.warehouse)]
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if d.voucher_type == "Stock Reconciliation":
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qty_diff = flt(d.qty_after_transaction) - qty_dict.bal_qty
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@ -102,18 +105,19 @@ def get_item_warehouse_map(filters):
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qty_diff = flt(d.actual_qty)
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value_diff = flt(d.stock_value_difference)
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if d.posting_date < getdate(filters["from_date"]):
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if d.posting_date < from_date:
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qty_dict.opening_qty += qty_diff
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qty_dict.opening_val += value_diff
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elif d.posting_date >= getdate(filters["from_date"]) and d.posting_date <= getdate(filters["to_date"]):
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elif d.posting_date >= from_date and d.posting_date <= to_date:
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if qty_diff > 0:
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qty_dict.in_qty += qty_diff
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qty_dict.in_val += value_diff
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else:
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qty_dict.out_qty += abs(qty_diff)
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qty_dict.out_val += abs(value_diff)
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qty_dict.val_rate = d.valuation_rate
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qty_dict.bal_qty += qty_diff
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qty_dict.bal_val += value_diff
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